id	sid	tid	token	lemma	pos
cana-276	1	1	communications	communication	NOUN
cana-276	1	2	on	on	ADP
cana-276	1	3	applied	apply	VERB
cana-276	1	4	nonlinear	nonlinear	ADJ
cana-276	1	5	analysis	analysis	NOUN
cana-276	1	6	issn	issn	NOUN
cana-276	1	7	:	:	PUNCT
cana-276	1	8	1074	1074	NUM
cana-276	1	9	-	-	PUNCT
cana-276	1	10	133x	133x	NUM
cana-276	1	11	vol	vol	NOUN
cana-276	1	12	30	30	NUM
cana-276	1	13	no	no	NOUN
cana-276	1	14	.	.	NOUN
cana-276	1	15	3	3	NUM
cana-276	1	16	(	(	PUNCT
cana-276	1	17	2023	2023	NUM
cana-276	1	18	)	)	PUNCT
cana-276	1	19	16	16	NUM
cana-276	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	1	21	nonlinear	nonlinear	ADJ
cana-276	1	22	dynamics	dynamic	NOUN
cana-276	1	23	of	of	ADP
cana-276	1	24	neural	neural	ADJ
cana-276	1	25	networks	network	NOUN
cana-276	1	26	:	:	PUNCT
cana-276	1	27	applications	application	NOUN
cana-276	1	28	in	in	ADP
cana-276	1	29	pattern	pattern	NOUN
cana-276	1	30	recognition	recognition	PROPN
cana-276	1	31	dr	dr	PROPN
cana-276	1	32	.	.	PROPN
cana-276	1	33	f	f	PROPN
cana-276	1	34	rahman	rahman	PROPN
cana-276	1	35	assistant	assistant	PROPN
cana-276	1	36	professor	professor	NOUN
cana-276	1	37	,	,	PUNCT
cana-276	1	38	faculty	faculty	NOUN
cana-276	1	39	of	of	ADP
cana-276	1	40	cs	cs	PROPN
cana-276	1	41	&	&	CCONJ
cana-276	1	42	it	it	PRON
cana-276	1	43	,	,	PUNCT
cana-276	1	44	kalinga	kalinga	PROPN
cana-276	1	45	university	university	PROPN
cana-276	1	46	,	,	PUNCT
cana-276	1	47	naya	naya	PROPN
cana-276	1	48	raipur	raipur	PROPN
cana-276	1	49	,	,	PUNCT
cana-276	1	50	chhattisgarh	chhattisgarh	PROPN
cana-276	1	51	,	,	PUNCT
cana-276	1	52	india	india	PROPN
cana-276	1	53	.	.	PUNCT
cana-276	2	1	mail	mail	NOUN
cana-276	2	2	id:ku.frahman@kalingauniversity.ac.in	id:ku.frahman@kalingauniversity.ac.in	PROPN
cana-276	2	3	article	article	NOUN
cana-276	2	4	history	history	NOUN
cana-276	2	5	:	:	PUNCT
cana-276	2	6	received	receive	VERB
cana-276	2	7	:	:	PUNCT
cana-276	2	8	22	22	NUM
cana-276	2	9	-	-	SYM
cana-276	2	10	05	05	NUM
cana-276	2	11	-	-	PUNCT
cana-276	2	12	2023	2023	NUM
cana-276	2	13	revised	revise	VERB
cana-276	2	14	:	:	PUNCT
cana-276	2	15	28	28	NUM
cana-276	2	16	-	-	SYM
cana-276	2	17	06	06	NUM
cana-276	2	18	-	-	PUNCT
cana-276	2	19	2023	2023	NUM
cana-276	2	20	accepted	accept	VERB
cana-276	2	21	:	:	PUNCT
cana-276	2	22	02	02	NUM
cana-276	2	23	-	-	SYM
cana-276	2	24	08	08	NUM
cana-276	2	25	-	-	PUNCT
cana-276	2	26	2023	2023	NUM
cana-276	2	27	abstract	abstract	NOUN
cana-276	2	28	:	:	PUNCT
cana-276	2	29	improvements	improvement	NOUN
cana-276	2	30	in	in	ADP
cana-276	2	31	pattern	pattern	NOUN
cana-276	2	32	recognition	recognition	NOUN
cana-276	2	33	systems	system	NOUN
cana-276	2	34	are	be	AUX
cana-276	2	35	best	well	ADV
cana-276	2	36	achieved	achieve	VERB
cana-276	2	37	by	by	ADP
cana-276	2	38	fully	fully	ADV
cana-276	2	39	comprehending	comprehending	ADJ
cana-276	2	40	and	and	CCONJ
cana-276	2	41	utilizing	utilize	VERB
cana-276	2	42	the	the	DET
cana-276	2	43	nonlinear	nonlinear	ADJ
cana-276	2	44	dynamics	dynamic	NOUN
cana-276	2	45	of	of	ADP
cana-276	2	46	neural	neural	ADJ
cana-276	2	47	networks	network	NOUN
cana-276	2	48	.	.	PUNCT
cana-276	3	1	when	when	SCONJ
cana-276	3	2	dealing	deal	VERB
cana-276	3	3	with	with	ADP
cana-276	3	4	complex	complex	ADJ
cana-276	3	5	,	,	PUNCT
cana-276	3	6	nonlinear	nonlinear	ADJ
cana-276	3	7	patterns	pattern	NOUN
cana-276	3	8	in	in	ADP
cana-276	3	9	real	real	ADJ
cana-276	3	10	-	-	PUNCT
cana-276	3	11	world	world	NOUN
cana-276	3	12	data	datum	NOUN
cana-276	3	13	,	,	PUNCT
cana-276	3	14	a	a	DET
cana-276	3	15	nuanced	nuanced	ADJ
cana-276	3	16	approach	approach	NOUN
cana-276	3	17	is	be	AUX
cana-276	3	18	necessary	necessary	ADJ
cana-276	3	19	to	to	PART
cana-276	3	20	fully	fully	ADV
cana-276	3	21	utilize	utilize	VERB
cana-276	3	22	neural	neural	ADJ
cana-276	3	23	networks	network	NOUN
cana-276	3	24	'	'	PART
cana-276	3	25	potential	potential	NOUN
cana-276	3	26	.	.	PUNCT
cana-276	4	1	by	by	ADP
cana-276	4	2	improving	improve	VERB
cana-276	4	3	performance	performance	NOUN
cana-276	4	4	,	,	PUNCT
cana-276	4	5	interpretability	interpretability	NOUN
cana-276	4	6	,	,	PUNCT
cana-276	4	7	and	and	CCONJ
cana-276	4	8	flexibility	flexibility	NOUN
cana-276	4	9	in	in	ADP
cana-276	4	10	complicated	complicated	ADJ
cana-276	4	11	pattern	pattern	NOUN
cana-276	4	12	recognition	recognition	NOUN
cana-276	4	13	tasks	task	NOUN
cana-276	4	14	,	,	PUNCT
cana-276	4	15	nonlinear	nonlinear	ADJ
cana-276	4	16	dynamics	dynamic	NOUN
cana-276	4	17	method	method	NOUN
cana-276	4	18	meet	meet	VERB
cana-276	4	19	this	this	DET
cana-276	4	20	demand	demand	NOUN
cana-276	4	21	.	.	PUNCT
cana-276	5	1	problems	problem	NOUN
cana-276	5	2	with	with	ADP
cana-276	5	3	interpretability	interpretability	NOUN
cana-276	5	4	,	,	PUNCT
cana-276	5	5	complicated	complicated	ADJ
cana-276	5	6	training	training	NOUN
cana-276	5	7	,	,	PUNCT
cana-276	5	8	and	and	CCONJ
cana-276	5	9	generalization	generalization	NOUN
cana-276	5	10	in	in	ADP
cana-276	5	11	the	the	DET
cana-276	5	12	presence	presence	NOUN
cana-276	5	13	of	of	ADP
cana-276	5	14	noisy	noisy	ADJ
cana-276	5	15	data	datum	NOUN
cana-276	5	16	are	be	AUX
cana-276	5	17	all	all	PRON
cana-276	5	18	aspects	aspect	NOUN
cana-276	5	19	of	of	ADP
cana-276	5	20	nonlinear	nonlinear	ADJ
cana-276	5	21	dynamics	dynamic	NOUN
cana-276	5	22	that	that	PRON
cana-276	5	23	pose	pose	VERB
cana-276	5	24	difficulties	difficulty	NOUN
cana-276	5	25	.	.	PUNCT
cana-276	6	1	these	these	DET
cana-276	6	2	complex	complex	ADJ
cana-276	6	3	patterns	pattern	NOUN
cana-276	6	4	are	be	AUX
cana-276	6	5	difficult	difficult	ADJ
cana-276	6	6	for	for	SCONJ
cana-276	6	7	traditional	traditional	ADJ
cana-276	6	8	neural	neural	ADJ
cana-276	6	9	networks	network	NOUN
cana-276	6	10	to	to	PART
cana-276	6	11	capture	capture	VERB
cana-276	6	12	and	and	CCONJ
cana-276	6	13	comprehend	comprehend	VERB
cana-276	6	14	.	.	PUNCT
cana-276	7	1	in	in	ADP
cana-276	7	2	response	response	NOUN
cana-276	7	3	to	to	ADP
cana-276	7	4	these	these	DET
cana-276	7	5	difficulties	difficulty	NOUN
cana-276	7	6	,	,	PUNCT
cana-276	7	7	nonlinear	nonlinear	ADJ
cana-276	7	8	dynamics	dynamic	NOUN
cana-276	7	9	has	have	AUX
cana-276	7	10	been	be	AUX
cana-276	7	11	created	create	VERB
cana-276	7	12	to	to	PART
cana-276	7	13	offer	offer	VERB
cana-276	7	14	a	a	DET
cana-276	7	15	comprehensive	comprehensive	ADJ
cana-276	7	16	approach	approach	NOUN
cana-276	7	17	to	to	ADP
cana-276	7	18	making	make	VERB
cana-276	7	19	good	good	ADJ
cana-276	7	20	use	use	NOUN
cana-276	7	21	of	of	ADP
cana-276	7	22	nonlinear	nonlinear	ADJ
cana-276	7	23	dynamics	dynamic	NOUN
cana-276	7	24	in	in	ADP
cana-276	7	25	pattern	pattern	NOUN
cana-276	7	26	recognition	recognition	NOUN
cana-276	7	27	.	.	PUNCT
cana-276	8	1	this	this	DET
cana-276	8	2	research	research	NOUN
cana-276	8	3	presents	present	VERB
cana-276	8	4	a	a	DET
cana-276	8	5	novel	novel	ADJ
cana-276	8	6	method	method	NOUN
cana-276	8	7	for	for	ADP
cana-276	8	8	dealing	deal	VERB
cana-276	8	9	with	with	ADP
cana-276	8	10	problems	problem	NOUN
cana-276	8	11	caused	cause	VERB
cana-276	8	12	by	by	ADP
cana-276	8	13	nonlinear	nonlinear	ADJ
cana-276	8	14	dynamics	dynamic	NOUN
cana-276	8	15	,	,	PUNCT
cana-276	8	16	called	call	VERB
cana-276	8	17	nonlinear	nonlinear	ADJ
cana-276	8	18	dynamics	dynamic	NOUN
cana-276	8	19	-	-	PUNCT
cana-276	8	20	driven	drive	VERB
cana-276	8	21	adaptive	adaptive	ADJ
cana-276	8	22	neural	neural	ADJ
cana-276	8	23	network	network	NOUN
cana-276	8	24	(	(	PUNCT
cana-276	8	25	nd	nd	NOUN
cana-276	8	26	-	-	PUNCT
cana-276	8	27	ann	ann	NOUN
cana-276	8	28	)	)	PUNCT
cana-276	8	29	.	.	PUNCT
cana-276	9	1	to	to	PART
cana-276	9	2	achieve	achieve	VERB
cana-276	9	3	the	the	DET
cana-276	9	4	sweet	sweet	ADJ
cana-276	9	5	spot	spot	NOUN
cana-276	9	6	between	between	ADP
cana-276	9	7	model	model	NOUN
cana-276	9	8	complexity	complexity	NOUN
cana-276	9	9	and	and	CCONJ
cana-276	9	10	interpretability	interpretability	NOUN
cana-276	9	11	,	,	PUNCT
cana-276	9	12	ndann	ndann	PROPN
cana-276	9	13	employs	employ	VERB
cana-276	9	14	a	a	DET
cana-276	9	15	hybrid	hybrid	ADJ
cana-276	9	16	learning	learn	VERB
cana-276	9	17	algorithm	algorithm	NOUN
cana-276	9	18	(	(	PUNCT
cana-276	9	19	hla	hla	PROPN
cana-276	9	20	)	)	PUNCT
cana-276	9	21	,	,	PUNCT
cana-276	9	22	an	an	DET
cana-276	9	23	explainability	explainability	NOUN
cana-276	9	24	module	module	NOUN
cana-276	9	25	,	,	PUNCT
cana-276	9	26	ensemble	ensemble	ADJ
cana-276	9	27	integration	integration	NOUN
cana-276	9	28	,	,	PUNCT
cana-276	9	29	regularization	regularization	NOUN
cana-276	9	30	for	for	ADP
cana-276	9	31	stability	stability	NOUN
cana-276	9	32	,	,	PUNCT
cana-276	9	33	and	and	CCONJ
cana-276	9	34	an	an	DET
cana-276	9	35	adaptive	adaptive	ADJ
cana-276	9	36	architecture	architecture	NOUN
cana-276	9	37	.	.	PUNCT
cana-276	10	1	this	this	DET
cana-276	10	2	novel	novel	ADJ
cana-276	10	3	approach	approach	NOUN
cana-276	10	4	lays	lay	VERB
cana-276	10	5	the	the	DET
cana-276	10	6	groundwork	groundwork	NOUN
cana-276	10	7	for	for	ADP
cana-276	10	8	future	future	ADJ
cana-276	10	9	developments	development	NOUN
cana-276	10	10	in	in	ADP
cana-276	10	11	pattern	pattern	NOUN
cana-276	10	12	recognition	recognition	NOUN
cana-276	10	13	technology	technology	NOUN
cana-276	10	14	and	and	CCONJ
cana-276	10	15	guarantees	guarantee	VERB
cana-276	10	16	better	well	ADJ
cana-276	10	17	performance	performance	NOUN
cana-276	10	18	when	when	SCONJ
cana-276	10	19	capturing	capture	VERB
cana-276	10	20	complicated	complicated	ADJ
cana-276	10	21	patterns	pattern	NOUN
cana-276	10	22	.	.	PUNCT
cana-276	11	1	improved	improve	VERB
cana-276	11	2	pattern	pattern	NOUN
cana-276	11	3	recognition	recognition	NOUN
cana-276	11	4	systems	system	NOUN
cana-276	11	5	made	make	VERB
cana-276	11	6	possible	possible	ADJ
cana-276	11	7	by	by	ADP
cana-276	11	8	ndann	ndann	PROPN
cana-276	11	9	's	's	PART
cana-276	11	10	accurate	accurate	ADJ
cana-276	11	11	modeling	modeling	NOUN
cana-276	11	12	of	of	ADP
cana-276	11	13	nonlinear	nonlinear	ADJ
cana-276	11	14	dynamics	dynamic	NOUN
cana-276	11	15	pave	pave	VERB
cana-276	11	16	the	the	DET
cana-276	11	17	way	way	NOUN
cana-276	11	18	for	for	ADP
cana-276	11	19	new	new	ADJ
cana-276	11	20	developments	development	NOUN
cana-276	11	21	in	in	ADP
cana-276	11	22	healthcare	healthcare	PROPN
cana-276	11	23	,	,	PUNCT
cana-276	11	24	information	information	NOUN
cana-276	11	25	processing	processing	NOUN
cana-276	11	26	,	,	PUNCT
cana-276	11	27	and	and	CCONJ
cana-276	11	28	technology	technology	NOUN
cana-276	11	29	.	.	PUNCT
cana-276	12	1	validation	validation	NOUN
cana-276	12	2	of	of	ADP
cana-276	12	3	ndann	ndann	PROPN
cana-276	12	4	's	's	PART
cana-276	12	5	effectiveness	effectiveness	NOUN
cana-276	12	6	in	in	ADP
cana-276	12	7	dealing	deal	VERB
cana-276	12	8	with	with	ADP
cana-276	12	9	nonlinear	nonlinear	ADJ
cana-276	12	10	dynamics	dynamic	NOUN
cana-276	12	11	issues	issue	NOUN
cana-276	12	12	was	be	AUX
cana-276	12	13	achieved	achieve	VERB
cana-276	12	14	through	through	ADP
cana-276	12	15	extensive	extensive	ADJ
cana-276	12	16	simulation	simulation	NOUN
cana-276	12	17	analyses	analysis	NOUN
cana-276	12	18	.	.	PUNCT
cana-276	13	1	precision	precision	NOUN
cana-276	13	2	,	,	PUNCT
cana-276	13	3	accuracy	accuracy	NOUN
cana-276	13	4	,	,	PUNCT
cana-276	13	5	recall	recall	NOUN
cana-276	13	6	,	,	PUNCT
cana-276	13	7	and	and	CCONJ
cana-276	13	8	f1	f1	NOUN
cana-276	13	9	score	score	NOUN
cana-276	13	10	are	be	AUX
cana-276	13	11	some	some	PRON
cana-276	13	12	of	of	ADP
cana-276	13	13	the	the	DET
cana-276	13	14	performance	performance	NOUN
cana-276	13	15	indicators	indicator	NOUN
cana-276	13	16	that	that	PRON
cana-276	13	17	undergo	undergo	VERB
cana-276	13	18	thorough	thorough	ADJ
cana-276	13	19	evaluation	evaluation	NOUN
cana-276	13	20	across	across	ADP
cana-276	13	21	various	various	ADJ
cana-276	13	22	datasets	dataset	NOUN
cana-276	13	23	.	.	PUNCT
cana-276	14	1	the	the	DET
cana-276	14	2	inclusion	inclusion	NOUN
cana-276	14	3	of	of	ADP
cana-276	14	4	nonlinear	nonlinear	ADJ
cana-276	14	5	dynamics	dynamic	NOUN
cana-276	14	6	in	in	ADP
cana-276	14	7	neural	neural	ADJ
cana-276	14	8	networks	network	NOUN
cana-276	14	9	has	have	VERB
cana-276	14	10	the	the	DET
cana-276	14	11	ability	ability	NOUN
cana-276	14	12	to	to	PART
cana-276	14	13	transform	transform	VERB
cana-276	14	14	pattern	pattern	NOUN
cana-276	14	15	recognition	recognition	NOUN
cana-276	14	16	,	,	PUNCT
cana-276	14	17	and	and	CCONJ
cana-276	14	18	the	the	DET
cana-276	14	19	simulation	simulation	NOUN
cana-276	14	20	results	result	NOUN
cana-276	14	21	show	show	VERB
cana-276	14	22	that	that	SCONJ
cana-276	14	23	ndann	ndann	PROPN
cana-276	14	24	is	be	AUX
cana-276	14	25	better	well	ADJ
cana-276	14	26	than	than	ADP
cana-276	14	27	traditional	traditional	ADJ
cana-276	14	28	models	model	NOUN
cana-276	14	29	.	.	PUNCT
cana-276	15	1	keywords	keyword	NOUN
cana-276	15	2	:	:	PUNCT
cana-276	15	3	nonlinear	nonlinear	ADJ
cana-276	15	4	,	,	PUNCT
cana-276	15	5	dynamics	dynamic	NOUN
cana-276	15	6	,	,	PUNCT
cana-276	15	7	neural	neural	ADJ
cana-276	15	8	networks	network	NOUN
cana-276	15	9	,	,	PUNCT
cana-276	15	10	pattern	pattern	NOUN
cana-276	15	11	recognition	recognition	NOUN
cana-276	15	12	,	,	PUNCT
cana-276	15	13	adaptive	adaptive	ADJ
cana-276	15	14	.	.	PUNCT
cana-276	16	1	1	1	X
cana-276	16	2	.	.	X
cana-276	16	3	introduction	introduction	NOUN
cana-276	16	4	emerging	emerge	VERB
cana-276	16	5	issues	issue	NOUN
cana-276	16	6	with	with	ADP
cana-276	16	7	"	"	PUNCT
cana-276	16	8	nonlinear	nonlinear	ADJ
cana-276	16	9	dynamics	dynamic	NOUN
cana-276	16	10	of	of	ADP
cana-276	16	11	neural	neural	ADJ
cana-276	16	12	networks	network	NOUN
cana-276	16	13	:	:	PUNCT
cana-276	16	14	applications	application	NOUN
cana-276	16	15	in	in	ADP
cana-276	16	16	pattern	pattern	NOUN
cana-276	16	17	recognition	recognition	NOUN
cana-276	16	18	"	"	PUNCT
cana-276	16	19	are	be	AUX
cana-276	16	20	complex	complex	ADJ
cana-276	16	21	and	and	CCONJ
cana-276	16	22	affect	affect	VERB
cana-276	16	23	how	how	SCONJ
cana-276	16	24	well	well	ADV
cana-276	16	25	neural	neural	ADJ
cana-276	16	26	networks	network	NOUN
cana-276	16	27	operate	operate	VERB
cana-276	16	28	in	in	ADP
cana-276	16	29	practice	practice	NOUN
cana-276	16	30	[	[	X
cana-276	16	31	1	1	NUM
cana-276	16	32	]	]	PUNCT
cana-276	16	33	.	.	PUNCT
cana-276	17	1	although	although	SCONJ
cana-276	17	2	there	there	PRON
cana-276	17	3	are	be	VERB
cana-276	17	4	challenges	challenge	NOUN
cana-276	17	5	to	to	ADP
cana-276	17	6	implementing	implement	VERB
cana-276	17	7	neural	neural	ADJ
cana-276	17	8	networks	network	NOUN
cana-276	17	9	in	in	ADP
cana-276	17	10	the	the	DET
cana-276	17	11	real	real	ADJ
cana-276	17	12	world	world	NOUN
cana-276	17	13	,	,	PUNCT
cana-276	17	14	their	their	PRON
cana-276	17	15	nonlinear	nonlinear	ADJ
cana-276	17	16	dynamics	dynamic	NOUN
cana-276	17	17	show	show	VERB
cana-276	17	18	great	great	ADJ
cana-276	17	19	potential	potential	NOUN
cana-276	17	20	for	for	ADP
cana-276	17	21	capturing	capture	VERB
cana-276	17	22	intricate	intricate	ADJ
cana-276	17	23	patterns	pattern	NOUN
cana-276	17	24	and	and	CCONJ
cana-276	17	25	correlations	correlation	NOUN
cana-276	17	26	[	[	X
cana-276	17	27	2	2	NUM
cana-276	17	28	]	]	PUNCT
cana-276	17	29	.	.	PUNCT
cana-276	18	1	a	a	DET
cana-276	18	2	major	major	ADJ
cana-276	18	3	issue	issue	NOUN
cana-276	18	4	is	be	AUX
cana-276	18	5	how	how	SCONJ
cana-276	18	6	well	well	ADV
cana-276	18	7	the	the	DET
cana-276	18	8	network	network	NOUN
cana-276	18	9	's	's	PART
cana-276	18	10	learnt	learn	VERB
cana-276	18	11	representations	representation	NOUN
cana-276	18	12	can	can	AUX
cana-276	18	13	be	be	AUX
cana-276	18	14	explained	explain	VERB
cana-276	18	15	and	and	CCONJ
cana-276	18	16	understood	understand	VERB
cana-276	18	17	[	[	X
cana-276	18	18	3	3	NUM
cana-276	18	19	]	]	PUNCT
cana-276	18	20	.	.	PUNCT
cana-276	19	1	important	important	ADJ
cana-276	19	2	for	for	ADP
cana-276	19	3	applications	application	NOUN
cana-276	19	4	like	like	ADP
cana-276	19	5	pattern	pattern	NOUN
cana-276	19	6	recognition	recognition	NOUN
cana-276	19	7	in	in	ADP
cana-276	19	8	delicate	delicate	ADJ
cana-276	19	9	domains	domain	NOUN
cana-276	19	10	,	,	PUNCT
cana-276	19	11	nonlinear	nonlinear	ADJ
cana-276	19	12	dynamics	dynamic	NOUN
cana-276	19	13	can	can	AUX
cana-276	19	14	cause	cause	VERB
cana-276	19	15	complex	complex	ADJ
cana-276	19	16	and	and	CCONJ
cana-276	19	17	abstract	abstract	ADJ
cana-276	19	18	modifications	modification	NOUN
cana-276	19	19	of	of	ADP
cana-276	19	20	incoming	incoming	ADJ
cana-276	19	21	data	datum	NOUN
cana-276	19	22	,	,	PUNCT
cana-276	19	23	making	make	VERB
cana-276	19	24	it	it	PRON
cana-276	19	25	hard	hard	ADJ
cana-276	19	26	to	to	PART
cana-276	19	27	understand	understand	VERB
cana-276	19	28	the	the	DET
cana-276	19	29	logic	logic	NOUN
cana-276	19	30	behind	behind	ADP
cana-276	19	31	network	network	NOUN
cana-276	19	32	decisions	decision	NOUN
cana-276	19	33	[	[	X
cana-276	19	34	4	4	NUM
cana-276	19	35	]	]	PUNCT
cana-276	19	36	.	.	PUNCT
cana-276	20	1	overfitting	overfitte	VERB
cana-276	20	2	and	and	CCONJ
cana-276	20	3	vanishing	vanish	VERB
cana-276	20	4	gradients	gradient	NOUN
cana-276	20	5	are	be	AUX
cana-276	20	6	problems	problem	NOUN
cana-276	20	7	that	that	PRON
cana-276	20	8	can	can	AUX
cana-276	20	9	arise	arise	VERB
cana-276	20	10	during	during	ADP
cana-276	20	11	the	the	DET
cana-276	20	12	optimization	optimization	NOUN
cana-276	20	13	of	of	ADP
cana-276	20	14	very	very	ADV
cana-276	20	15	nonlinear	nonlinear	ADJ
cana-276	20	16	architectures	architecture	NOUN
cana-276	20	17	during	during	ADP
cana-276	20	18	training	training	NOUN
cana-276	20	19	,	,	PUNCT
cana-276	20	20	which	which	PRON
cana-276	20	21	can	can	AUX
cana-276	20	22	reduce	reduce	VERB
cana-276	20	23	the	the	DET
cana-276	20	24	model	model	NOUN
cana-276	20	25	's	's	PART
cana-276	20	26	ability	ability	NOUN
cana-276	20	27	to	to	PART
cana-276	20	28	generalize	generalize	VERB
cana-276	20	29	to	to	ADP
cana-276	20	30	new	new	ADJ
cana-276	20	31	communications	communication	NOUN
cana-276	20	32	on	on	ADP
cana-276	20	33	applied	apply	VERB
cana-276	20	34	nonlinear	nonlinear	ADJ
cana-276	20	35	analysis	analysis	NOUN
cana-276	20	36	issn	issn	NOUN
cana-276	20	37	:	:	PUNCT
cana-276	20	38	1074	1074	NUM
cana-276	20	39	-	-	PUNCT
cana-276	20	40	133x	133x	NUM
cana-276	20	41	vol	vol	NOUN
cana-276	20	42	30	30	NUM
cana-276	20	43	no	no	NOUN
cana-276	20	44	.	.	NOUN
cana-276	20	45	3	3	NUM
cana-276	20	46	(	(	PUNCT
cana-276	20	47	2023	2023	NUM
cana-276	20	48	)	)	PUNCT
cana-276	20	49	17	17	NUM
cana-276	20	50	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	20	51	data	datum	NOUN
cana-276	20	52	[	[	X
cana-276	20	53	5	5	NUM
cana-276	20	54	]	]	PUNCT
cana-276	20	55	.	.	PUNCT
cana-276	21	1	another	another	DET
cana-276	21	2	obstacle	obstacle	NOUN
cana-276	21	3	is	be	AUX
cana-276	21	4	the	the	DET
cana-276	21	5	computational	computational	ADJ
cana-276	21	6	and	and	CCONJ
cana-276	21	7	scalability	scalability	NOUN
cana-276	21	8	requirements	requirement	NOUN
cana-276	21	9	of	of	ADP
cana-276	21	10	complicated	complicated	ADJ
cana-276	21	11	nonlinear	nonlinear	ADJ
cana-276	21	12	dynamics	dynamic	NOUN
cana-276	21	13	,	,	PUNCT
cana-276	21	14	which	which	PRON
cana-276	21	15	are	be	AUX
cana-276	21	16	particularly	particularly	ADV
cana-276	21	17	problematic	problematic	ADJ
cana-276	21	18	for	for	ADP
cana-276	21	19	large	large	ADJ
cana-276	21	20	-	-	PUNCT
cana-276	21	21	scale	scale	NOUN
cana-276	21	22	applications	application	NOUN
cana-276	21	23	that	that	PRON
cana-276	21	24	necessitate	necessitate	ADJ
cana-276	21	25	processing	processing	NOUN
cana-276	21	26	in	in	ADP
cana-276	21	27	real	real	ADJ
cana-276	21	28	-	-	PUNCT
cana-276	21	29	time	time	NOUN
cana-276	21	30	[	[	X
cana-276	21	31	6	6	NUM
cana-276	21	32	]	]	PUNCT
cana-276	21	33	.	.	PUNCT
cana-276	22	1	due	due	ADP
cana-276	22	2	to	to	ADP
cana-276	22	3	the	the	DET
cana-276	22	4	fact	fact	NOUN
cana-276	22	5	that	that	SCONJ
cana-276	22	6	even	even	ADV
cana-276	22	7	small	small	ADJ
cana-276	22	8	changes	change	NOUN
cana-276	22	9	in	in	ADP
cana-276	22	10	input	input	NOUN
cana-276	22	11	can	can	AUX
cana-276	22	12	cause	cause	VERB
cana-276	22	13	misclassifications	misclassification	NOUN
cana-276	22	14	[	[	X
cana-276	22	15	7	7	NUM
cana-276	22	16	]	]	PUNCT
cana-276	22	17	,	,	PUNCT
cana-276	22	18	nonlinear	nonlinear	ADJ
cana-276	22	19	neural	neural	ADJ
cana-276	22	20	networks	network	NOUN
cana-276	22	21	are	be	AUX
cana-276	22	22	becoming	become	VERB
cana-276	22	23	increasingly	increasingly	ADV
cana-276	22	24	susceptible	susceptible	ADJ
cana-276	22	25	to	to	ADP
cana-276	22	26	adversarial	adversarial	ADJ
cana-276	22	27	attacks	attack	NOUN
cana-276	22	28	[	[	X
cana-276	22	29	8	8	NUM
cana-276	22	30	]	]	PUNCT
cana-276	22	31	.	.	PUNCT
cana-276	23	1	conducting	conduct	VERB
cana-276	23	2	comprehensive	comprehensive	ADJ
cana-276	23	3	research	research	NOUN
cana-276	23	4	into	into	ADP
cana-276	23	5	interpretability	interpretability	NOUN
cana-276	23	6	,	,	PUNCT
cana-276	23	7	optimization	optimization	NOUN
cana-276	23	8	strategies	strategy	NOUN
cana-276	23	9	,	,	PUNCT
cana-276	23	10	scalability	scalability	NOUN
cana-276	23	11	,	,	PUNCT
cana-276	23	12	and	and	CCONJ
cana-276	23	13	security	security	NOUN
cana-276	23	14	is	be	AUX
cana-276	23	15	essential	essential	ADJ
cana-276	23	16	for	for	ADP
cana-276	23	17	bridging	bridge	VERB
cana-276	23	18	the	the	DET
cana-276	23	19	gap	gap	NOUN
cana-276	23	20	between	between	ADP
cana-276	23	21	theoretical	theoretical	ADJ
cana-276	23	22	advancements	advancement	NOUN
cana-276	23	23	in	in	ADP
cana-276	23	24	nonlinear	nonlinear	ADJ
cana-276	23	25	dynamics	dynamic	NOUN
cana-276	23	26	and	and	CCONJ
cana-276	23	27	their	their	PRON
cana-276	23	28	practical	practical	ADJ
cana-276	23	29	implementation	implementation	NOUN
cana-276	23	30	for	for	ADP
cana-276	23	31	robust	robust	ADJ
cana-276	23	32	pattern	pattern	NOUN
cana-276	23	33	recognition	recognition	NOUN
cana-276	24	1	[	[	X
cana-276	24	2	9	9	NUM
cana-276	24	3	]	]	PUNCT
cana-276	24	4	.	.	PUNCT
cana-276	25	1	this	this	PRON
cana-276	25	2	will	will	AUX
cana-276	25	3	ensure	ensure	VERB
cana-276	25	4	that	that	SCONJ
cana-276	25	5	the	the	DET
cana-276	25	6	potential	potential	ADJ
cana-276	25	7	benefits	benefit	NOUN
cana-276	25	8	of	of	ADP
cana-276	25	9	nonlinear	nonlinear	ADJ
cana-276	25	10	neural	neural	ADJ
cana-276	25	11	networks	network	NOUN
cana-276	25	12	in	in	ADP
cana-276	25	13	pattern	pattern	NOUN
cana-276	25	14	recognition	recognition	NOUN
cana-276	25	15	are	be	AUX
cana-276	25	16	responsibly	responsibly	ADV
cana-276	25	17	and	and	CCONJ
cana-276	25	18	effectively	effectively	ADV
cana-276	25	19	realized	realize	VERB
cana-276	25	20	[	[	X
cana-276	25	21	10	10	NUM
cana-276	25	22	]	]	PUNCT
cana-276	25	23	.	.	PUNCT
cana-276	26	1	in	in	ADP
cana-276	26	2	the	the	DET
cana-276	26	3	field	field	NOUN
cana-276	26	4	of	of	ADP
cana-276	26	5	"	"	PUNCT
cana-276	26	6	nonlinear	nonlinear	ADJ
cana-276	26	7	dynamics	dynamic	NOUN
cana-276	26	8	of	of	ADP
cana-276	26	9	neural	neural	ADJ
cana-276	26	10	networks	network	NOUN
cana-276	26	11	:	:	PUNCT
cana-276	26	12	applications	application	NOUN
cana-276	26	13	in	in	ADP
cana-276	26	14	pattern	pattern	NOUN
cana-276	26	15	recognition	recognition	NOUN
cana-276	26	16	,	,	PUNCT
cana-276	26	17	"	"	PUNCT
cana-276	26	18	current	current	ADJ
cana-276	26	19	methods	method	NOUN
cana-276	26	20	frequently	frequently	ADV
cana-276	26	21	employ	employ	VERB
cana-276	26	22	complicated	complicated	ADJ
cana-276	26	23	,	,	PUNCT
cana-276	26	24	nonlinear	nonlinear	ADJ
cana-276	26	25	structures	structure	NOUN
cana-276	26	26	to	to	PART
cana-276	26	27	extract	extract	VERB
cana-276	26	28	detailed	detailed	ADJ
cana-276	26	29	correlations	correlation	NOUN
cana-276	26	30	and	and	CCONJ
cana-276	26	31	patterns	pattern	NOUN
cana-276	26	32	from	from	ADP
cana-276	26	33	data	datum	NOUN
cana-276	26	34	[	[	X
cana-276	26	35	11	11	NUM
cana-276	26	36	]	]	PUNCT
cana-276	26	37	.	.	PUNCT
cana-276	27	1	to	to	PART
cana-276	27	2	simulate	simulate	VERB
cana-276	27	3	the	the	DET
cana-276	27	4	complexity	complexity	NOUN
cana-276	27	5	of	of	ADP
cana-276	27	6	real	real	ADJ
cana-276	27	7	-	-	PUNCT
cana-276	27	8	world	world	NOUN
cana-276	27	9	data	datum	NOUN
cana-276	27	10	,	,	PUNCT
cana-276	27	11	methods	method	NOUN
cana-276	27	12	like	like	ADP
cana-276	27	13	convolutional	convolutional	ADJ
cana-276	27	14	neural	neural	ADJ
cana-276	27	15	networks	network	NOUN
cana-276	27	16	(	(	PUNCT
cana-276	27	17	cnns	cnns	PROPN
cana-276	27	18	)	)	PUNCT
cana-276	27	19	,	,	PUNCT
cana-276	27	20	recurrent	recurrent	ADJ
cana-276	27	21	neural	neural	ADJ
cana-276	27	22	networks	network	NOUN
cana-276	27	23	(	(	PUNCT
cana-276	27	24	rnns	rnns	PROPN
cana-276	27	25	)	)	PUNCT
cana-276	27	26	,	,	PUNCT
cana-276	27	27	and	and	CCONJ
cana-276	27	28	deep	deep	ADJ
cana-276	27	29	neural	neural	ADJ
cana-276	27	30	networks	network	NOUN
cana-276	27	31	(	(	PUNCT
cana-276	27	32	dnns	dnn	NOUN
cana-276	27	33	)	)	PUNCT
cana-276	27	34	use	use	VERB
cana-276	27	35	complicated	complicated	ADJ
cana-276	27	36	connection	connection	NOUN
cana-276	27	37	patterns	pattern	NOUN
cana-276	27	38	and	and	CCONJ
cana-276	27	39	nonlinear	nonlinear	ADJ
cana-276	27	40	activation	activation	NOUN
cana-276	27	41	functions	function	NOUN
cana-276	27	42	[	[	X
cana-276	27	43	12	12	NUM
cana-276	27	44	]	]	PUNCT
cana-276	27	45	.	.	PUNCT
cana-276	28	1	techniques	technique	NOUN
cana-276	28	2	like	like	ADP
cana-276	28	3	reservoir	reservoir	NOUN
cana-276	28	4	computing	computing	NOUN
cana-276	28	5	use	use	NOUN
cana-276	28	6	recurrent	recurrent	ADJ
cana-276	28	7	neural	neural	ADJ
cana-276	28	8	networks	network	NOUN
cana-276	28	9	,	,	PUNCT
cana-276	28	10	which	which	PRON
cana-276	28	11	are	be	AUX
cana-276	28	12	dynamic	dynamic	ADJ
cana-276	28	13	,	,	PUNCT
cana-276	28	14	to	to	PART
cana-276	28	15	process	process	VERB
cana-276	28	16	data	datum	NOUN
cana-276	28	17	over	over	ADP
cana-276	28	18	time	time	NOUN
cana-276	28	19	[	[	X
cana-276	28	20	13	13	NUM
cana-276	28	21	]	]	PUNCT
cana-276	28	22	.	.	PUNCT
cana-276	29	1	applying	apply	VERB
cana-276	29	2	nonlinear	nonlinear	ADJ
cana-276	29	3	dynamics	dynamic	NOUN
cana-276	29	4	to	to	PART
cana-276	29	5	pattern	pattern	NOUN
cana-276	29	6	recognition	recognition	NOUN
cana-276	29	7	is	be	AUX
cana-276	29	8	still	still	ADV
cana-276	29	9	not	not	PART
cana-276	29	10	without	without	ADP
cana-276	29	11	its	its	PRON
cana-276	29	12	hurdles	hurdle	NOUN
cana-276	29	13	,	,	PUNCT
cana-276	29	14	even	even	ADV
cana-276	29	15	with	with	ADP
cana-276	29	16	current	current	ADJ
cana-276	29	17	developments	development	NOUN
cana-276	29	18	[	[	X
cana-276	29	19	14	14	NUM
cana-276	29	20	]	]	PUNCT
cana-276	29	21	.	.	PUNCT
cana-276	30	1	they	they	PRON
cana-276	30	2	are	be	AUX
cana-276	30	3	not	not	PART
cana-276	30	4	yet	yet	ADV
cana-276	30	5	widely	widely	ADV
cana-276	30	6	used	use	VERB
cana-276	30	7	in	in	ADP
cana-276	30	8	mission	mission	NOUN
cana-276	30	9	-	-	PUNCT
cana-276	30	10	critical	critical	ADJ
cana-276	30	11	applications	application	NOUN
cana-276	30	12	due	due	ADP
cana-276	30	13	to	to	ADP
cana-276	30	14	concerns	concern	NOUN
cana-276	30	15	about	about	ADP
cana-276	30	16	interpretability	interpretability	NOUN
cana-276	30	17	,	,	PUNCT
cana-276	30	18	which	which	PRON
cana-276	30	19	arises	arise	VERB
cana-276	30	20	from	from	ADP
cana-276	30	21	the	the	DET
cana-276	30	22	fact	fact	NOUN
cana-276	30	23	that	that	SCONJ
cana-276	30	24	these	these	DET
cana-276	30	25	networks	network	NOUN
cana-276	30	26	undergo	undergo	VERB
cana-276	30	27	complex	complex	ADJ
cana-276	30	28	transformations	transformation	NOUN
cana-276	30	29	that	that	PRON
cana-276	30	30	make	make	VERB
cana-276	30	31	it	it	PRON
cana-276	30	32	hard	hard	ADJ
cana-276	30	33	to	to	PART
cana-276	30	34	comprehend	comprehend	VERB
cana-276	30	35	and	and	CCONJ
cana-276	30	36	explain	explain	VERB
cana-276	30	37	the	the	DET
cana-276	30	38	decision	decision	NOUN
cana-276	30	39	-	-	PUNCT
cana-276	30	40	making	make	VERB
cana-276	30	41	process	process	NOUN
cana-276	30	42	[	[	X
cana-276	30	43	15	15	NUM
cana-276	30	44	]	]	PUNCT
cana-276	30	45	.	.	PUNCT
cana-276	31	1	overfitting	overfitte	VERB
cana-276	31	2	,	,	PUNCT
cana-276	31	3	dealing	deal	VERB
cana-276	31	4	with	with	ADP
cana-276	31	5	vanishing	vanish	VERB
cana-276	31	6	gradients	gradient	NOUN
cana-276	31	7	,	,	PUNCT
cana-276	31	8	and	and	CCONJ
cana-276	31	9	guaranteeing	guarantee	VERB
cana-276	31	10	robust	robust	ADJ
cana-276	31	11	generalization	generalization	NOUN
cana-276	31	12	are	be	AUX
cana-276	31	13	only	only	ADV
cana-276	31	14	a	a	DET
cana-276	31	15	few	few	ADJ
cana-276	31	16	of	of	ADP
cana-276	31	17	the	the	DET
cana-276	31	18	difficulties	difficulty	NOUN
cana-276	31	19	that	that	PRON
cana-276	31	20	arise	arise	VERB
cana-276	31	21	during	during	ADP
cana-276	31	22	the	the	DET
cana-276	31	23	training	training	NOUN
cana-276	31	24	of	of	ADP
cana-276	31	25	these	these	DET
cana-276	31	26	nonlinear	nonlinear	ADJ
cana-276	31	27	models	model	NOUN
cana-276	31	28	.	.	PUNCT
cana-276	32	1	the	the	DET
cana-276	32	2	computational	computational	ADJ
cana-276	32	3	needs	need	NOUN
cana-276	32	4	of	of	ADP
cana-276	32	5	complex	complex	ADJ
cana-276	32	6	systems	system	NOUN
cana-276	32	7	pose	pose	VERB
cana-276	32	8	a	a	DET
cana-276	32	9	threat	threat	NOUN
cana-276	32	10	to	to	ADP
cana-276	32	11	scalability	scalability	NOUN
cana-276	32	12	,	,	PUNCT
cana-276	32	13	which	which	PRON
cana-276	32	14	in	in	ADP
cana-276	32	15	turn	turn	NOUN
cana-276	32	16	affects	affect	VERB
cana-276	32	17	real	real	ADJ
cana-276	32	18	-	-	PUNCT
cana-276	32	19	time	time	NOUN
cana-276	32	20	processing	processing	NOUN
cana-276	32	21	capabilities	capability	NOUN
cana-276	32	22	,	,	PUNCT
cana-276	32	23	especially	especially	ADV
cana-276	32	24	in	in	ADP
cana-276	32	25	contexts	context	NOUN
cana-276	32	26	with	with	ADP
cana-276	32	27	limited	limited	ADJ
cana-276	32	28	resources	resource	NOUN
cana-276	32	29	[	[	X
cana-276	32	30	16	16	NUM
cana-276	32	31	]	]	PUNCT
cana-276	32	32	.	.	PUNCT
cana-276	33	1	there	there	PRON
cana-276	33	2	are	be	VERB
cana-276	33	3	security	security	NOUN
cana-276	33	4	concerns	concern	NOUN
cana-276	33	5	with	with	ADP
cana-276	33	6	using	use	VERB
cana-276	33	7	nonlinear	nonlinear	ADJ
cana-276	33	8	neural	neural	ADJ
cana-276	33	9	networks	network	NOUN
cana-276	33	10	for	for	ADP
cana-276	33	11	pattern	pattern	NOUN
cana-276	33	12	recognition	recognition	NOUN
cana-276	33	13	because	because	SCONJ
cana-276	33	14	of	of	ADP
cana-276	33	15	their	their	PRON
cana-276	33	16	susceptibility	susceptibility	NOUN
cana-276	33	17	to	to	ADP
cana-276	33	18	adversarial	adversarial	ADJ
cana-276	33	19	assaults	assault	NOUN
cana-276	33	20	.	.	PUNCT
cana-276	34	1	to	to	PART
cana-276	34	2	overcome	overcome	VERB
cana-276	34	3	these	these	DET
cana-276	34	4	obstacles	obstacle	NOUN
cana-276	34	5	,	,	PUNCT
cana-276	34	6	researchers	researcher	NOUN
cana-276	34	7	must	must	AUX
cana-276	34	8	keep	keep	VERB
cana-276	34	9	working	work	VERB
cana-276	34	10	to	to	PART
cana-276	34	11	make	make	VERB
cana-276	34	12	neural	neural	ADJ
cana-276	34	13	networks	network	NOUN
cana-276	34	14	more	more	ADV
cana-276	34	15	interpretable	interpretable	ADJ
cana-276	34	16	,	,	PUNCT
cana-276	34	17	optimize	optimize	VERB
cana-276	34	18	training	training	NOUN
cana-276	34	19	procedures	procedure	NOUN
cana-276	34	20	,	,	PUNCT
cana-276	34	21	make	make	VERB
cana-276	34	22	them	they	PRON
cana-276	34	23	more	more	ADV
cana-276	34	24	scalable	scalable	ADJ
cana-276	34	25	,	,	PUNCT
cana-276	34	26	and	and	CCONJ
cana-276	34	27	strengthen	strengthen	VERB
cana-276	34	28	the	the	DET
cana-276	34	29	security	security	NOUN
cana-276	34	30	of	of	ADP
cana-276	34	31	nonlinear	nonlinear	ADJ
cana-276	34	32	dynamics	dynamic	NOUN
cana-276	34	33	that	that	PRON
cana-276	34	34	they	they	PRON
cana-276	34	35	can	can	AUX
cana-276	34	36	recognize	recognize	VERB
cana-276	34	37	patterns	pattern	NOUN
cana-276	34	38	effectively	effectively	ADV
cana-276	34	39	and	and	CCONJ
cana-276	34	40	reliably	reliably	ADV
cana-276	34	41	.	.	PUNCT
cana-276	35	1	•	•	NUM
cana-276	35	2	by	by	ADP
cana-276	35	3	capitalizing	capitalize	VERB
cana-276	35	4	on	on	ADP
cana-276	35	5	a	a	DET
cana-276	35	6	thorough	thorough	ADJ
cana-276	35	7	comprehension	comprehension	NOUN
cana-276	35	8	of	of	ADP
cana-276	35	9	the	the	DET
cana-276	35	10	nonlinear	nonlinear	ADJ
cana-276	35	11	dynamics	dynamic	NOUN
cana-276	35	12	present	present	ADJ
cana-276	35	13	in	in	ADP
cana-276	35	14	neural	neural	ADJ
cana-276	35	15	networks	network	NOUN
cana-276	35	16	,	,	PUNCT
cana-276	35	17	the	the	DET
cana-276	35	18	major	major	ADJ
cana-276	35	19	goal	goal	NOUN
cana-276	35	20	of	of	ADP
cana-276	35	21	the	the	DET
cana-276	35	22	research	research	NOUN
cana-276	35	23	is	be	AUX
cana-276	35	24	to	to	PART
cana-276	35	25	improve	improve	VERB
cana-276	35	26	pattern	pattern	NOUN
cana-276	35	27	recognition	recognition	NOUN
cana-276	35	28	systems	system	NOUN
cana-276	35	29	.	.	PUNCT
cana-276	36	1	the	the	DET
cana-276	36	2	goal	goal	NOUN
cana-276	36	3	is	be	AUX
cana-276	36	4	to	to	PART
cana-276	36	5	discover	discover	VERB
cana-276	36	6	how	how	SCONJ
cana-276	36	7	to	to	PART
cana-276	36	8	fully	fully	ADV
cana-276	36	9	utilize	utilize	VERB
cana-276	36	10	neural	neural	ADJ
cana-276	36	11	networks	network	NOUN
cana-276	36	12	to	to	PART
cana-276	36	13	capture	capture	VERB
cana-276	36	14	and	and	CCONJ
cana-276	36	15	understand	understand	VERB
cana-276	36	16	complicated	complicated	ADJ
cana-276	36	17	,	,	PUNCT
cana-276	36	18	nonlinear	nonlinear	ADJ
cana-276	36	19	patterns	pattern	NOUN
cana-276	36	20	in	in	ADP
cana-276	36	21	real	real	ADJ
cana-276	36	22	-	-	PUNCT
cana-276	36	23	world	world	NOUN
cana-276	36	24	data	datum	NOUN
cana-276	36	25	,	,	PUNCT
cana-276	36	26	which	which	PRON
cana-276	36	27	can	can	AUX
cana-276	36	28	be	be	AUX
cana-276	36	29	quite	quite	ADV
cana-276	36	30	challenging	challenging	ADJ
cana-276	36	31	.	.	PUNCT
cana-276	37	1	the	the	DET
cana-276	37	2	primary	primary	ADJ
cana-276	37	3	goals	goal	NOUN
cana-276	37	4	of	of	ADP
cana-276	37	5	the	the	DET
cana-276	37	6	research	research	NOUN
cana-276	37	7	are	be	AUX
cana-276	37	8	to	to	PART
cana-276	37	9	develop	develop	VERB
cana-276	37	10	more	more	ADV
cana-276	37	11	efficient	efficient	ADJ
cana-276	37	12	and	and	CCONJ
cana-276	37	13	adaptable	adaptable	ADJ
cana-276	37	14	systems	system	NOUN
cana-276	37	15	that	that	PRON
cana-276	37	16	can	can	AUX
cana-276	37	17	handle	handle	VERB
cana-276	37	18	complex	complex	ADJ
cana-276	37	19	pattern	pattern	NOUN
cana-276	37	20	recognition	recognition	NOUN
cana-276	37	21	jobs	job	NOUN
cana-276	37	22	with	with	ADP
cana-276	37	23	more	more	ADJ
cana-276	37	24	ease	ease	NOUN
cana-276	37	25	.	.	PUNCT
cana-276	38	1	•	•	ADP
cana-276	38	2	the	the	DET
cana-276	38	3	present	present	ADJ
cana-276	38	4	research	research	NOUN
cana-276	38	5	presents	present	VERB
cana-276	38	6	a	a	DET
cana-276	38	7	new	new	ADJ
cana-276	38	8	approach	approach	NOUN
cana-276	38	9	to	to	ADP
cana-276	38	10	pattern	pattern	NOUN
cana-276	38	11	recognition	recognition	NOUN
cana-276	38	12	problem	problem	NOUN
cana-276	38	13	solving	solve	VERB
cana-276	38	14	by	by	ADP
cana-276	38	15	introducing	introduce	VERB
cana-276	38	16	the	the	DET
cana-276	38	17	nonlinear	nonlinear	ADJ
cana-276	38	18	dynamics	dynamic	NOUN
cana-276	38	19	-	-	PUNCT
cana-276	38	20	driven	drive	VERB
cana-276	38	21	adaptive	adaptive	ADJ
cana-276	38	22	neural	neural	ADJ
cana-276	38	23	network	network	NOUN
cana-276	38	24	(	(	PUNCT
cana-276	38	25	ndann	ndann	PROPN
cana-276	38	26	)	)	PUNCT
cana-276	38	27	.	.	PUNCT
cana-276	39	1	ndann	ndann	PROPN
cana-276	39	2	uses	use	VERB
cana-276	39	3	an	an	DET
cana-276	39	4	adaptive	adaptive	ADJ
cana-276	39	5	architecture	architecture	NOUN
cana-276	39	6	,	,	PUNCT
cana-276	39	7	regularization	regularization	NOUN
cana-276	39	8	for	for	ADP
cana-276	39	9	stability	stability	NOUN
cana-276	39	10	,	,	PUNCT
cana-276	39	11	an	an	DET
cana-276	39	12	ensemble	ensemble	ADJ
cana-276	39	13	integration	integration	NOUN
cana-276	39	14	,	,	PUNCT
cana-276	39	15	an	an	DET
cana-276	39	16	explainability	explainability	NOUN
cana-276	39	17	module	module	NOUN
cana-276	39	18	,	,	PUNCT
cana-276	39	19	and	and	CCONJ
cana-276	39	20	a	a	DET
cana-276	39	21	hybrid	hybrid	ADJ
cana-276	39	22	learning	learning	NOUN
cana-276	39	23	method	method	NOUN
cana-276	39	24	.	.	PUNCT
cana-276	40	1	finding	find	VERB
cana-276	40	2	a	a	DET
cana-276	40	3	happy	happy	ADJ
cana-276	40	4	medium	medium	NOUN
cana-276	40	5	between	between	ADP
cana-276	40	6	model	model	NOUN
cana-276	40	7	complexity	complexity	NOUN
cana-276	40	8	and	and	CCONJ
cana-276	40	9	interpretability	interpretability	NOUN
cana-276	40	10	is	be	AUX
cana-276	40	11	the	the	DET
cana-276	40	12	goal	goal	NOUN
cana-276	40	13	,	,	PUNCT
cana-276	40	14	with	with	ADP
cana-276	40	15	the	the	DET
cana-276	40	16	end	end	NOUN
cana-276	40	17	goal	goal	NOUN
cana-276	40	18	being	be	AUX
cana-276	40	19	an	an	DET
cana-276	40	20	adaptive	adaptive	ADJ
cana-276	40	21	solution	solution	NOUN
cana-276	40	22	that	that	PRON
cana-276	40	23	solves	solve	VERB
cana-276	40	24	problems	problem	NOUN
cana-276	40	25	with	with	ADP
cana-276	40	26	generalization	generalization	NOUN
cana-276	40	27	,	,	PUNCT
cana-276	40	28	training	training	NOUN
cana-276	40	29	complexity	complexity	NOUN
cana-276	40	30	,	,	PUNCT
cana-276	40	31	and	and	CCONJ
cana-276	40	32	interpretability	interpretability	NOUN
cana-276	40	33	while	while	SCONJ
cana-276	40	34	dealing	deal	VERB
cana-276	40	35	with	with	ADP
cana-276	40	36	noisy	noisy	ADJ
cana-276	40	37	data	datum	NOUN
cana-276	40	38	.	.	PUNCT
cana-276	41	1	communications	communication	NOUN
cana-276	41	2	on	on	ADP
cana-276	41	3	applied	apply	VERB
cana-276	41	4	nonlinear	nonlinear	ADJ
cana-276	41	5	analysis	analysis	NOUN
cana-276	41	6	issn	issn	NOUN
cana-276	41	7	:	:	PUNCT
cana-276	41	8	1074	1074	NUM
cana-276	41	9	-	-	PUNCT
cana-276	41	10	133x	133x	NUM
cana-276	41	11	vol	vol	NOUN
cana-276	41	12	30	30	NUM
cana-276	41	13	no	no	NOUN
cana-276	41	14	.	.	NOUN
cana-276	41	15	3	3	NUM
cana-276	41	16	(	(	PUNCT
cana-276	41	17	2023	2023	NUM
cana-276	41	18	)	)	PUNCT
cana-276	41	19	18	18	NUM
cana-276	41	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	41	21	•	•	NOUN
cana-276	41	22	this	this	DET
cana-276	41	23	research	research	NOUN
cana-276	41	24	endeavors	endeavor	NOUN
cana-276	41	25	to	to	PART
cana-276	41	26	undertake	undertake	VERB
cana-276	41	27	thorough	thorough	ADJ
cana-276	41	28	simulation	simulation	NOUN
cana-276	41	29	evaluations	evaluation	NOUN
cana-276	41	30	in	in	ADP
cana-276	41	31	order	order	NOUN
cana-276	41	32	to	to	PART
cana-276	41	33	establish	establish	VERB
cana-276	41	34	ndann	ndann	PROPN
cana-276	41	35	as	as	ADP
cana-276	41	36	a	a	DET
cana-276	41	37	standard	standard	NOUN
cana-276	41	38	for	for	ADP
cana-276	41	39	handling	handle	VERB
cana-276	41	40	nonlinear	nonlinear	ADJ
cana-276	41	41	dynamics	dynamic	NOUN
cana-276	41	42	concerns	concern	NOUN
cana-276	41	43	.	.	PUNCT
cana-276	42	1	there	there	PRON
cana-276	42	2	is	be	VERB
cana-276	42	3	extensive	extensive	ADJ
cana-276	42	4	testing	testing	NOUN
cana-276	42	5	across	across	ADP
cana-276	42	6	several	several	ADJ
cana-276	42	7	datasets	dataset	NOUN
cana-276	42	8	for	for	ADP
cana-276	42	9	performance	performance	NOUN
cana-276	42	10	metrics	metric	NOUN
cana-276	42	11	like	like	ADP
cana-276	42	12	f1	f1	PROPN
cana-276	42	13	score	score	NOUN
cana-276	42	14	,	,	PUNCT
cana-276	42	15	recall	recall	NOUN
cana-276	42	16	,	,	PUNCT
cana-276	42	17	accuracy	accuracy	NOUN
cana-276	42	18	,	,	PUNCT
cana-276	42	19	and	and	CCONJ
cana-276	42	20	precision	precision	NOUN
cana-276	42	21	.	.	PUNCT
cana-276	43	1	the	the	DET
cana-276	43	2	goal	goal	NOUN
cana-276	43	3	is	be	AUX
cana-276	43	4	to	to	PART
cana-276	43	5	show	show	VERB
cana-276	43	6	that	that	SCONJ
cana-276	43	7	ndann	ndann	PROPN
cana-276	43	8	and	and	CCONJ
cana-276	43	9	other	other	ADJ
cana-276	43	10	neural	neural	ADJ
cana-276	43	11	networks	network	NOUN
cana-276	43	12	with	with	ADP
cana-276	43	13	nonlinear	nonlinear	ADJ
cana-276	43	14	dynamics	dynamic	NOUN
cana-276	43	15	can	can	AUX
cana-276	43	16	improve	improve	VERB
cana-276	43	17	pattern	pattern	NOUN
cana-276	43	18	recognition	recognition	NOUN
cana-276	43	19	systems	system	NOUN
cana-276	43	20	over	over	ADP
cana-276	43	21	traditional	traditional	ADJ
cana-276	43	22	models	model	NOUN
cana-276	43	23	in	in	ADP
cana-276	43	24	terms	term	NOUN
cana-276	43	25	of	of	ADP
cana-276	43	26	accuracy	accuracy	NOUN
cana-276	43	27	and	and	CCONJ
cana-276	43	28	efficiency	efficiency	NOUN
cana-276	43	29	.	.	PUNCT
cana-276	44	1	by	by	ADP
cana-276	44	2	paving	pave	VERB
cana-276	44	3	the	the	DET
cana-276	44	4	way	way	NOUN
cana-276	44	5	for	for	ADP
cana-276	44	6	better	well	ADJ
cana-276	44	7	and	and	CCONJ
cana-276	44	8	more	more	ADV
cana-276	44	9	precise	precise	ADJ
cana-276	44	10	pattern	pattern	NOUN
cana-276	44	11	recognition	recognition	NOUN
cana-276	44	12	systems	system	NOUN
cana-276	44	13	,	,	PUNCT
cana-276	44	14	this	this	DET
cana-276	44	15	study	study	NOUN
cana-276	44	16	paves	pave	VERB
cana-276	44	17	the	the	DET
cana-276	44	18	way	way	NOUN
cana-276	44	19	for	for	ADP
cana-276	44	20	improvements	improvement	NOUN
cana-276	44	21	in	in	ADP
cana-276	44	22	healthcare	healthcare	PROPN
cana-276	44	23	,	,	PUNCT
cana-276	44	24	data	datum	NOUN
cana-276	44	25	processing	processing	NOUN
cana-276	44	26	,	,	PUNCT
cana-276	44	27	and	and	CCONJ
cana-276	44	28	technology	technology	NOUN
cana-276	44	29	.	.	PUNCT
cana-276	45	1	the	the	DET
cana-276	45	2	present	present	ADJ
cana-276	45	3	research	research	NOUN
cana-276	45	4	follows	follow	VERB
cana-276	45	5	a	a	DET
cana-276	45	6	format	format	NOUN
cana-276	45	7	that	that	PRON
cana-276	45	8	is	be	AUX
cana-276	45	9	consistent	consistent	ADJ
cana-276	45	10	with	with	ADP
cana-276	45	11	the	the	DET
cana-276	45	12	literature	literature	NOUN
cana-276	45	13	review	review	NOUN
cana-276	45	14	given	give	VERB
cana-276	45	15	in	in	ADP
cana-276	45	16	section	section	NOUN
cana-276	45	17	2	2	NUM
cana-276	45	18	:	:	PUNCT
cana-276	45	19	nonlinear	nonlinear	ADJ
cana-276	45	20	dynamics	dynamic	NOUN
cana-276	45	21	of	of	ADP
cana-276	45	22	neural	neural	ADJ
cana-276	45	23	networks	network	NOUN
cana-276	45	24	.	.	PUNCT
cana-276	46	1	the	the	DET
cana-276	46	2	mathematical	mathematical	ADJ
cana-276	46	3	foundations	foundation	NOUN
cana-276	46	4	of	of	ADP
cana-276	46	5	nd	nd	NOUN
cana-276	46	6	-	-	PUNCT
cana-276	46	7	ann	ann	NOUN
cana-276	46	8	,	,	PUNCT
cana-276	46	9	or	or	CCONJ
cana-276	46	10	dynamicsdriven	dynamicsdriven	VERB
cana-276	46	11	adaptive	adaptive	ADJ
cana-276	46	12	neural	neural	ADJ
cana-276	46	13	networks	network	NOUN
cana-276	46	14	,	,	PUNCT
cana-276	46	15	are	be	AUX
cana-276	46	16	laid	lay	VERB
cana-276	46	17	out	out	ADP
cana-276	46	18	in	in	ADP
cana-276	46	19	section	section	NOUN
cana-276	46	20	3	3	NUM
cana-276	46	21	.	.	PUNCT
cana-276	47	1	the	the	DET
cana-276	47	2	research	research	NOUN
cana-276	47	3	findings	finding	NOUN
cana-276	47	4	and	and	CCONJ
cana-276	47	5	discussion	discussion	NOUN
cana-276	47	6	are	be	AUX
cana-276	47	7	presented	present	VERB
cana-276	47	8	in	in	ADP
cana-276	47	9	section	section	NOUN
cana-276	47	10	4	4	NUM
cana-276	47	11	,	,	PUNCT
cana-276	47	12	while	while	SCONJ
cana-276	47	13	the	the	DET
cana-276	47	14	summary	summary	NOUN
cana-276	47	15	and	and	CCONJ
cana-276	47	16	concluding	conclude	VERB
cana-276	47	17	remarks	remark	NOUN
cana-276	47	18	are	be	AUX
cana-276	47	19	presented	present	VERB
cana-276	47	20	in	in	ADP
cana-276	47	21	section	section	NOUN
cana-276	47	22	5	5	NUM
cana-276	47	23	.	.	SYM
cana-276	48	1	2	2	NUM
cana-276	48	2	.	.	X
cana-276	48	3	literature	literature	NOUN
cana-276	48	4	survey	survey	NOUN
cana-276	48	5	this	this	DET
cana-276	48	6	review	review	NOUN
cana-276	48	7	explores	explore	VERB
cana-276	48	8	recent	recent	ADJ
cana-276	48	9	developments	development	NOUN
cana-276	48	10	in	in	ADP
cana-276	48	11	various	various	ADJ
cana-276	48	12	ai	ai	ADJ
cana-276	48	13	applications	application	NOUN
cana-276	48	14	using	use	VERB
cana-276	48	15	artificial	artificial	ADJ
cana-276	48	16	neural	neural	ADJ
cana-276	48	17	networks	network	NOUN
cana-276	48	18	and	and	CCONJ
cana-276	48	19	computational	computational	ADJ
cana-276	48	20	methods	method	NOUN
cana-276	48	21	.	.	PUNCT
cana-276	49	1	the	the	DET
cana-276	49	2	authors	author	NOUN
cana-276	49	3	abiodun	abiodun	PROPN
cana-276	49	4	et	et	PROPN
cana-276	49	5	al	al	PROPN
cana-276	49	6	.	.	PROPN
cana-276	49	7	discuss	discuss	VERB
cana-276	49	8	difficulties	difficulty	NOUN
cana-276	49	9	with	with	ADP
cana-276	49	10	artificial	artificial	ADJ
cana-276	49	11	neural	neural	ADJ
cana-276	49	12	networks	network	NOUN
cana-276	49	13	(	(	PUNCT
cana-276	49	14	anns	anns	PROPN
cana-276	49	15	)	)	PUNCT
cana-276	49	16	used	use	VERB
cana-276	49	17	for	for	ADP
cana-276	49	18	pattern	pattern	NOUN
cana-276	49	19	recognition	recognition	NOUN
cana-276	49	20	and	and	CCONJ
cana-276	49	21	introduce	introduce	VERB
cana-276	49	22	ai	ai	ADJ
cana-276	49	23	methods	method	NOUN
cana-276	49	24	for	for	ADP
cana-276	49	25	finding	find	VERB
cana-276	49	26	nonlinear	nonlinear	ADJ
cana-276	49	27	dynamical	dynamical	ADJ
cana-276	49	28	systems	system	NOUN
cana-276	49	29	.	.	PUNCT
cana-276	50	1	issues	issue	NOUN
cana-276	50	2	with	with	ADP
cana-276	50	3	applying	apply	VERB
cana-276	50	4	anns	ann	NOUN
cana-276	50	5	to	to	PART
cana-276	50	6	pattern	pattern	NOUN
cana-276	50	7	recognition	recognition	NOUN
cana-276	50	8	(	(	PUNCT
cana-276	50	9	pr	pr	NOUN
cana-276	50	10	)	)	PUNCT
cana-276	51	1	[	[	X
cana-276	51	2	17	17	NUM
cana-276	51	3	]	]	PUNCT
cana-276	51	4	are	be	AUX
cana-276	51	5	discussed	discuss	VERB
cana-276	51	6	by	by	ADP
cana-276	51	7	abiodun	abiodun	PROPN
cana-276	51	8	,	,	PUNCT
cana-276	51	9	o.	o.	PROPN
cana-276	51	10	i.	i.	PROPN
cana-276	51	11	et	et	PROPN
cana-276	51	12	al	al	PROPN
cana-276	51	13	.	.	PUNCT
cana-276	52	1	the	the	DET
cana-276	52	2	report	report	NOUN
cana-276	52	3	highlights	highlight	VERB
cana-276	52	4	problems	problem	NOUN
cana-276	52	5	that	that	PRON
cana-276	52	6	are	be	AUX
cana-276	52	7	preventing	prevent	VERB
cana-276	52	8	research	research	NOUN
cana-276	52	9	from	from	ADP
cana-276	52	10	progressing	progress	VERB
cana-276	52	11	,	,	PUNCT
cana-276	52	12	such	such	ADJ
cana-276	52	13	as	as	ADP
cana-276	52	14	a	a	DET
cana-276	52	15	lack	lack	NOUN
cana-276	52	16	of	of	ADP
cana-276	52	17	literature	literature	NOUN
cana-276	52	18	and	and	CCONJ
cana-276	52	19	a	a	DET
cana-276	52	20	whimsical	whimsical	ADJ
cana-276	52	21	perspective	perspective	NOUN
cana-276	52	22	.	.	PUNCT
cana-276	53	1	the	the	DET
cana-276	53	2	paper	paper	NOUN
cana-276	53	3	reviews	review	NOUN
cana-276	53	4	existing	exist	VERB
cana-276	53	5	ann	ann	NOUN
cana-276	53	6	models	model	NOUN
cana-276	53	7	and	and	CCONJ
cana-276	53	8	demonstrates	demonstrate	VERB
cana-276	53	9	how	how	SCONJ
cana-276	53	10	well	well	ADV
cana-276	53	11	they	they	PRON
cana-276	53	12	perform	perform	VERB
cana-276	53	13	pr	pr	NOUN
cana-276	53	14	tasks	task	NOUN
cana-276	53	15	.	.	PUNCT
cana-276	54	1	their	their	PRON
cana-276	54	2	outstanding	outstanding	ADJ
cana-276	54	3	performance	performance	NOUN
cana-276	54	4	is	be	AUX
cana-276	54	5	supported	support	VERB
cana-276	54	6	by	by	ADP
cana-276	54	7	statistical	statistical	ADJ
cana-276	54	8	indicators	indicator	NOUN
cana-276	54	9	,	,	PUNCT
cana-276	54	10	which	which	PRON
cana-276	54	11	suggest	suggest	VERB
cana-276	54	12	that	that	SCONJ
cana-276	54	13	both	both	DET
cana-276	54	14	existing	exist	VERB
cana-276	54	15	and	and	CCONJ
cana-276	54	16	new	new	ADJ
cana-276	54	17	models	model	NOUN
cana-276	54	18	should	should	AUX
cana-276	54	19	be	be	AUX
cana-276	54	20	further	far	ADV
cana-276	54	21	prioritized	prioritize	VERB
cana-276	54	22	for	for	ADP
cana-276	54	23	future	future	ADJ
cana-276	54	24	success	success	NOUN
cana-276	54	25	.	.	PUNCT
cana-276	55	1	identifying	identify	VERB
cana-276	55	2	nonlinear	nonlinear	ADJ
cana-276	55	3	dynamical	dynamical	ADJ
cana-276	55	4	systems	system	NOUN
cana-276	55	5	is	be	AUX
cana-276	55	6	made	make	VERB
cana-276	55	7	easier	easy	ADJ
cana-276	55	8	with	with	ADP
cana-276	55	9	the	the	DET
cana-276	55	10	thorough	thorough	ADJ
cana-276	55	11	overview	overview	NOUN
cana-276	55	12	of	of	ADP
cana-276	55	13	computational	computational	ADJ
cana-276	55	14	techniques	technique	NOUN
cana-276	55	15	in	in	ADP
cana-276	55	16	artificial	artificial	ADJ
cana-276	55	17	intelligence	intelligence	NOUN
cana-276	55	18	(	(	PUNCT
cana-276	55	19	ct	ct	NOUN
cana-276	55	20	-	-	PUNCT
cana-276	55	21	ai	ai	NOUN
cana-276	55	22	)	)	PUNCT
cana-276	56	1	[	[	X
cana-276	56	2	18	18	NUM
cana-276	56	3	]	]	PUNCT
cana-276	56	4	provided	provide	VERB
cana-276	56	5	by	by	ADP
cana-276	56	6	quaranta	quaranta	NOUN
cana-276	56	7	,	,	PUNCT
cana-276	56	8	g	g	PROPN
cana-276	56	9	et	et	PROPN
cana-276	56	10	al	al	PROPN
cana-276	56	11	.	.	PROPN
cana-276	56	12	parametric	parametric	ADJ
cana-276	56	13	methods	method	NOUN
cana-276	56	14	,	,	PUNCT
cana-276	56	15	such	such	ADJ
cana-276	56	16	as	as	ADP
cana-276	56	17	particle	particle	NOUN
cana-276	56	18	swarm	swarm	NOUN
cana-276	56	19	optimization	optimization	NOUN
cana-276	56	20	and	and	CCONJ
cana-276	56	21	genetic	genetic	ADJ
cana-276	56	22	algorithms	algorithm	NOUN
cana-276	56	23	,	,	PUNCT
cana-276	56	24	tackle	tackle	NOUN
cana-276	56	25	models	model	NOUN
cana-276	56	26	such	such	ADJ
cana-276	56	27	as	as	ADP
cana-276	56	28	bouc	bouc	NOUN
cana-276	56	29	-	-	PUNCT
cana-276	56	30	wen	wen	PROPN
cana-276	56	31	and	and	CCONJ
cana-276	56	32	chaotic	chaotic	ADJ
cana-276	56	33	systems	system	NOUN
cana-276	56	34	.	.	PUNCT
cana-276	57	1	one	one	PRON
cana-276	57	2	can	can	AUX
cana-276	57	3	go	go	VERB
cana-276	57	4	over	over	ADP
cana-276	57	5	some	some	DET
cana-276	57	6	nonparametric	nonparametric	NOUN
cana-276	57	7	approaches	approach	NOUN
cana-276	57	8	that	that	PRON
cana-276	57	9	make	make	VERB
cana-276	57	10	use	use	NOUN
cana-276	57	11	of	of	ADP
cana-276	57	12	anns	anns	NOUN
cana-276	57	13	and	and	CCONJ
cana-276	57	14	genetic	genetic	ADJ
cana-276	57	15	programming	programming	NOUN
cana-276	57	16	.	.	PUNCT
cana-276	58	1	demonstrating	demonstrate	VERB
cana-276	58	2	its	its	PRON
cana-276	58	3	usefulness	usefulness	NOUN
cana-276	58	4	in	in	ADP
cana-276	58	5	engineering	engineering	NOUN
cana-276	58	6	and	and	CCONJ
cana-276	58	7	structural	structural	ADJ
cana-276	58	8	mechanics	mechanic	NOUN
cana-276	58	9	,	,	PUNCT
cana-276	58	10	the	the	DET
cana-276	58	11	work	work	NOUN
cana-276	58	12	lays	lay	VERB
cana-276	58	13	the	the	DET
cana-276	58	14	groundwork	groundwork	NOUN
cana-276	58	15	for	for	ADP
cana-276	58	16	related	related	ADJ
cana-276	58	17	future	future	ADJ
cana-276	58	18	studies	study	NOUN
cana-276	58	19	.	.	PUNCT
cana-276	59	1	for	for	ADP
cana-276	59	2	unknown	unknown	ADJ
cana-276	59	3	continuous	continuous	ADJ
cana-276	59	4	-	-	PUNCT
cana-276	59	5	time	time	NOUN
cana-276	59	6	affine	affine	NOUN
cana-276	59	7	nonlinear	nonlinear	PROPN
cana-276	59	8	systems	system	NOUN
cana-276	59	9	with	with	ADP
cana-276	59	10	actuator	actuator	NOUN
cana-276	59	11	defects	defect	NOUN
cana-276	59	12	,	,	PUNCT
cana-276	59	13	lin	lin	PROPN
cana-276	59	14	et	et	PROPN
cana-276	59	15	al	al	PROPN
cana-276	59	16	.	.	PROPN
cana-276	59	17	offer	offer	VERB
cana-276	59	18	a	a	DET
cana-276	59	19	databased	database	VERB
cana-276	59	20	fault	fault	NOUN
cana-276	59	21	-	-	PUNCT
cana-276	59	22	tolerant	tolerant	ADJ
cana-276	59	23	control	control	NOUN
cana-276	59	24	(	(	PUNCT
cana-276	59	25	ftc	ftc	PROPN
cana-276	59	26	)	)	PUNCT
cana-276	60	1	[	[	X
cana-276	60	2	19	19	NUM
cana-276	60	3	]	]	PUNCT
cana-276	60	4	technique	technique	NOUN
cana-276	60	5	.	.	PUNCT
cana-276	61	1	the	the	DET
cana-276	61	2	system	system	NOUN
cana-276	61	3	dynamics	dynamic	NOUN
cana-276	61	4	are	be	AUX
cana-276	61	5	modeled	model	VERB
cana-276	61	6	using	use	VERB
cana-276	61	7	a	a	DET
cana-276	61	8	neural	neural	ADJ
cana-276	61	9	network	network	NOUN
cana-276	61	10	(	(	PUNCT
cana-276	61	11	nn	nn	NOUN
cana-276	61	12	)	)	PUNCT
cana-276	61	13	identifier	identifier	NOUN
cana-276	61	14	based	base	VERB
cana-276	61	15	on	on	ADP
cana-276	61	16	particle	particle	NOUN
cana-276	61	17	swarm	swarm	NOUN
cana-276	61	18	optimization	optimization	NOUN
cana-276	61	19	(	(	PUNCT
cana-276	61	20	pso	pso	NOUN
cana-276	61	21	)	)	PUNCT
cana-276	61	22	,	,	PUNCT
cana-276	61	23	and	and	CCONJ
cana-276	61	24	the	the	DET
cana-276	61	25	hamilton	hamilton	PROPN
cana-276	61	26	-	-	PUNCT
cana-276	61	27	jacobibellman	jacobibellman	NOUN
cana-276	61	28	equation	equation	NOUN
cana-276	61	29	is	be	AUX
cana-276	61	30	efficiently	efficiently	ADV
cana-276	61	31	solved	solve	VERB
cana-276	61	32	using	use	VERB
cana-276	61	33	a	a	DET
cana-276	61	34	pso	pso	NOUN
cana-276	61	35	-	-	PUNCT
cana-276	61	36	optimized	optimize	VERB
cana-276	61	37	critic	critic	NOUN
cana-276	61	38	neural	neural	ADJ
cana-276	61	39	network	network	NOUN
cana-276	61	40	(	(	PUNCT
cana-276	61	41	psocnn	psocnn	PROPN
cana-276	61	42	)	)	PUNCT
cana-276	61	43	.	.	PUNCT
cana-276	62	1	validated	validate	VERB
cana-276	62	2	by	by	ADP
cana-276	62	3	simulations	simulation	NOUN
cana-276	62	4	showing	show	VERB
cana-276	62	5	its	its	PRON
cana-276	62	6	efficacy	efficacy	NOUN
cana-276	62	7	,	,	PUNCT
cana-276	62	8	the	the	DET
cana-276	62	9	suggested	suggest	VERB
cana-276	62	10	ftc	ftc	PROPN
cana-276	62	11	method	method	PROPN
cana-276	62	12	guarantees	guarantee	VERB
cana-276	62	13	stability	stability	NOUN
cana-276	62	14	under	under	ADP
cana-276	62	15	actuator	actuator	NOUN
cana-276	62	16	defects	defect	NOUN
cana-276	62	17	.	.	PUNCT
cana-276	63	1	to	to	PART
cana-276	63	2	forecast	forecast	VERB
cana-276	63	3	complicated	complicated	ADJ
cana-276	63	4	nonlinear	nonlinear	ADJ
cana-276	63	5	pulse	pulse	NOUN
cana-276	63	6	propagation	propagation	NOUN
cana-276	63	7	in	in	ADP
cana-276	63	8	optical	optical	ADJ
cana-276	63	9	fibers	fiber	NOUN
cana-276	63	10	using	use	VERB
cana-276	63	11	only	only	ADJ
cana-276	63	12	input	input	NOUN
cana-276	63	13	pulse	pulse	NOUN
cana-276	63	14	intensity	intensity	NOUN
cana-276	63	15	profiles	profile	NOUN
cana-276	63	16	,	,	PUNCT
cana-276	63	17	salmela	salmela	NOUN
cana-276	63	18	,	,	PUNCT
cana-276	63	19	l.	l.	PROPN
cana-276	63	20	et	et	PROPN
cana-276	63	21	al	al	PROPN
cana-276	63	22	.	.	PROPN
cana-276	64	1	present	present	VERB
cana-276	64	2	a	a	DET
cana-276	64	3	recurrent	recurrent	ADJ
cana-276	64	4	neural	neural	ADJ
cana-276	64	5	network	network	NOUN
cana-276	64	6	(	(	PUNCT
cana-276	64	7	rnn	rnn	PROPN
cana-276	64	8	)	)	PUNCT
cana-276	65	1	[	[	X
cana-276	65	2	20	20	NUM
cana-276	65	3	]	]	PUNCT
cana-276	65	4	.	.	PUNCT
cana-276	66	1	the	the	DET
cana-276	66	2	method	method	NOUN
cana-276	66	3	's	's	PART
cana-276	66	4	predictions	prediction	NOUN
cana-276	66	5	meet	meet	VERB
cana-276	66	6	experimental	experimental	ADJ
cana-276	66	7	data	datum	NOUN
cana-276	66	8	in	in	ADP
cana-276	66	9	a	a	DET
cana-276	66	10	good	good	ADJ
cana-276	66	11	way	way	NOUN
cana-276	66	12	,	,	PUNCT
cana-276	66	13	as	as	SCONJ
cana-276	66	14	seen	see	VERB
cana-276	66	15	in	in	ADP
cana-276	66	16	pulse	pulse	NOUN
cana-276	66	17	compression	compression	NOUN
cana-276	66	18	and	and	CCONJ
cana-276	66	19	supercontinuum	supercontinuum	VERB
cana-276	66	20	creation	creation	NOUN
cana-276	66	21	.	.	PUNCT
cana-276	67	1	with	with	ADP
cana-276	67	2	its	its	PRON
cana-276	67	3	adaptability	adaptability	NOUN
cana-276	67	4	to	to	ADP
cana-276	67	5	different	different	ADJ
cana-276	67	6	input	input	NOUN
cana-276	67	7	conditions	condition	NOUN
cana-276	67	8	and	and	CCONJ
cana-276	67	9	fiber	fiber	NOUN
cana-276	67	10	systems	system	NOUN
cana-276	67	11	,	,	PUNCT
cana-276	67	12	this	this	DET
cana-276	67	13	method	method	NOUN
cana-276	67	14	presents	present	VERB
cana-276	67	15	a	a	DET
cana-276	67	16	great	great	ADJ
cana-276	67	17	opportunity	opportunity	NOUN
cana-276	67	18	for	for	ADP
cana-276	67	19	optimizing	optimize	VERB
cana-276	67	20	and	and	CCONJ
cana-276	67	21	designing	design	VERB
cana-276	67	22	experiments	experiment	NOUN
cana-276	67	23	in	in	ADP
cana-276	67	24	photonic	photonic	ADJ
cana-276	67	25	technologies	technology	NOUN
cana-276	67	26	in	in	ADP
cana-276	67	27	real	real	ADJ
cana-276	67	28	-	-	PUNCT
cana-276	67	29	time	time	NOUN
cana-276	67	30	.	.	PUNCT
cana-276	68	1	communications	communication	NOUN
cana-276	68	2	on	on	ADP
cana-276	68	3	applied	apply	VERB
cana-276	68	4	nonlinear	nonlinear	ADJ
cana-276	68	5	analysis	analysis	NOUN
cana-276	68	6	issn	issn	NOUN
cana-276	68	7	:	:	PUNCT
cana-276	68	8	1074	1074	NUM
cana-276	68	9	-	-	PUNCT
cana-276	68	10	133x	133x	NUM
cana-276	68	11	vol	vol	NOUN
cana-276	68	12	30	30	NUM
cana-276	68	13	no	no	NOUN
cana-276	68	14	.	.	NOUN
cana-276	68	15	3	3	NUM
cana-276	68	16	(	(	PUNCT
cana-276	68	17	2023	2023	NUM
cana-276	68	18	)	)	PUNCT
cana-276	68	19	19	19	NUM
cana-276	68	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	68	21	a	a	DET
cana-276	68	22	supervised	supervised	ADJ
cana-276	68	23	long	long	ADJ
cana-276	68	24	short	short	ADJ
cana-276	68	25	-	-	PUNCT
cana-276	68	26	term	term	NOUN
cana-276	68	27	memory	memory	NOUN
cana-276	68	28	(	(	PUNCT
cana-276	68	29	slstm	slstm	NOUN
cana-276	68	30	)	)	PUNCT
cana-276	69	1	[	[	X
cana-276	69	2	21	21	NUM
cana-276	69	3	]	]	X
cana-276	69	4	network	network	NOUN
cana-276	69	5	is	be	AUX
cana-276	69	6	presented	present	VERB
cana-276	69	7	by	by	ADP
cana-276	69	8	yuan	yuan	PROPN
cana-276	69	9	,	,	PUNCT
cana-276	69	10	x	x	X
cana-276	69	11	et	et	PROPN
cana-276	69	12	al	al	PROPN
cana-276	69	13	.	.	PROPN
cana-276	69	14	,	,	PUNCT
cana-276	69	15	for	for	ADP
cana-276	69	16	use	use	NOUN
cana-276	69	17	with	with	ADP
cana-276	69	18	soft	soft	ADJ
cana-276	69	19	sensors	sensor	NOUN
cana-276	69	20	in	in	ADP
cana-276	69	21	manufacturing	manufacturing	NOUN
cana-276	69	22	processes	process	NOUN
cana-276	69	23	.	.	PUNCT
cana-276	70	1	to	to	PART
cana-276	70	2	learn	learn	VERB
cana-276	70	3	dynamic	dynamic	ADJ
cana-276	70	4	hidden	hide	VERB
cana-276	70	5	states	state	NOUN
cana-276	70	6	,	,	PUNCT
cana-276	70	7	slstm	slstm	PROPN
cana-276	70	8	takes	take	VERB
cana-276	70	9	into	into	ADP
cana-276	70	10	account	account	NOUN
cana-276	70	11	both	both	PRON
cana-276	70	12	input	input	NOUN
cana-276	70	13	and	and	CCONJ
cana-276	70	14	quality	quality	NOUN
cana-276	70	15	variables	variable	NOUN
cana-276	70	16	,	,	PUNCT
cana-276	70	17	which	which	PRON
cana-276	70	18	improves	improve	VERB
cana-276	70	19	the	the	DET
cana-276	70	20	accuracy	accuracy	NOUN
cana-276	70	21	of	of	ADP
cana-276	70	22	quality	quality	NOUN
cana-276	70	23	predictions	prediction	NOUN
cana-276	70	24	compared	compare	VERB
cana-276	70	25	to	to	ADP
cana-276	70	26	basic	basic	ADJ
cana-276	70	27	lstm	lstm	ADJ
cana-276	70	28	units	unit	NOUN
cana-276	70	29	.	.	PUNCT
cana-276	71	1	people	people	NOUN
cana-276	71	2	show	show	VERB
cana-276	71	3	that	that	SCONJ
cana-276	71	4	slstm	slstm	NOUN
cana-276	71	5	can	can	AUX
cana-276	71	6	effectively	effectively	ADV
cana-276	71	7	capture	capture	VERB
cana-276	71	8	dynamic	dynamic	ADJ
cana-276	71	9	and	and	CCONJ
cana-276	71	10	nonlinear	nonlinear	ADJ
cana-276	71	11	process	process	NOUN
cana-276	71	12	behaviours	behaviour	NOUN
cana-276	71	13	on	on	ADP
cana-276	71	14	penicillin	penicillin	NOUN
cana-276	71	15	fermentation	fermentation	NOUN
cana-276	71	16	and	and	CCONJ
cana-276	71	17	an	an	DET
cana-276	71	18	industrial	industrial	ADJ
cana-276	71	19	debutanizer	debutanizer	NOUN
cana-276	71	20	column	column	NOUN
cana-276	71	21	.	.	PUNCT
cana-276	72	1	finally	finally	ADV
cana-276	72	2	,	,	PUNCT
cana-276	72	3	these	these	DET
cana-276	72	4	experiments	experiment	NOUN
cana-276	72	5	show	show	VERB
cana-276	72	6	that	that	SCONJ
cana-276	72	7	different	different	ADJ
cana-276	72	8	ai	ai	VERB
cana-276	72	9	techniques	technique	NOUN
cana-276	72	10	can	can	AUX
cana-276	72	11	handle	handle	VERB
cana-276	72	12	different	different	ADJ
cana-276	72	13	kinds	kind	NOUN
cana-276	72	14	of	of	ADP
cana-276	72	15	problems	problem	NOUN
cana-276	72	16	in	in	ADP
cana-276	72	17	different	different	ADJ
cana-276	72	18	ways	way	NOUN
cana-276	72	19	.	.	PUNCT
cana-276	73	1	with	with	ADP
cana-276	73	2	its	its	PRON
cana-276	73	3	exceptional	exceptional	ADJ
cana-276	73	4	performance	performance	NOUN
cana-276	73	5	in	in	ADP
cana-276	73	6	several	several	ADJ
cana-276	73	7	applications	application	NOUN
cana-276	73	8	,	,	PUNCT
cana-276	73	9	the	the	DET
cana-276	73	10	nonlinear	nonlinear	NOUN
cana-276	73	11	dynamicsdriven	dynamicsdriven	VERB
cana-276	73	12	adaptive	adaptive	ADJ
cana-276	73	13	neural	neural	ADJ
cana-276	73	14	network	network	NOUN
cana-276	73	15	(	(	PUNCT
cana-276	73	16	nd	nd	NOUN
cana-276	73	17	-	-	PUNCT
cana-276	73	18	ann	ann	NOUN
cana-276	73	19	)	)	PUNCT
cana-276	73	20	stands	stand	VERB
cana-276	73	21	out	out	ADP
cana-276	73	22	as	as	ADP
cana-276	73	23	a	a	DET
cana-276	73	24	formidable	formidable	ADJ
cana-276	73	25	rival	rival	NOUN
cana-276	73	26	among	among	ADP
cana-276	73	27	the	the	DET
cana-276	73	28	many	many	ADJ
cana-276	73	29	available	available	ADJ
cana-276	73	30	technologies	technology	NOUN
cana-276	73	31	,	,	PUNCT
cana-276	73	32	each	each	DET
cana-276	73	33	method	method	NOUN
cana-276	73	34	has	have	VERB
cana-276	73	35	its	its	PRON
cana-276	73	36	own	own	ADJ
cana-276	73	37	benefits	benefit	NOUN
cana-276	73	38	.	.	PUNCT
cana-276	74	1	3	3	X
cana-276	74	2	.	.	NUM
cana-276	74	3	proposed	propose	VERB
cana-276	74	4	method	method	NOUN
cana-276	74	5	pattern	pattern	NOUN
cana-276	74	6	recognition	recognition	NOUN
cana-276	74	7	is	be	AUX
cana-276	74	8	a	a	DET
cana-276	74	9	rapidly	rapidly	ADV
cana-276	74	10	growing	grow	VERB
cana-276	74	11	area	area	NOUN
cana-276	74	12	that	that	PRON
cana-276	74	13	continually	continually	ADV
cana-276	74	14	searches	search	VERB
cana-276	74	15	for	for	ADP
cana-276	74	16	new	new	ADJ
cana-276	74	17	ways	way	NOUN
cana-276	74	18	to	to	PART
cana-276	74	19	deal	deal	VERB
cana-276	74	20	with	with	ADP
cana-276	74	21	complex	complex	ADJ
cana-276	74	22	real	real	ADJ
cana-276	74	23	-	-	PUNCT
cana-276	74	24	world	world	NOUN
cana-276	74	25	data	datum	NOUN
cana-276	74	26	.	.	PUNCT
cana-276	75	1	the	the	DET
cana-276	75	2	nonlinear	nonlinear	ADJ
cana-276	75	3	dynamics	dynamic	NOUN
cana-276	75	4	-	-	PUNCT
cana-276	75	5	driven	drive	VERB
cana-276	75	6	adaptive	adaptive	ADJ
cana-276	75	7	neural	neural	ADJ
cana-276	75	8	network	network	NOUN
cana-276	75	9	(	(	PUNCT
cana-276	75	10	nd	nd	NOUN
cana-276	75	11	-	-	PUNCT
cana-276	75	12	ann	ann	NOUN
cana-276	75	13	)	)	PUNCT
cana-276	75	14	is	be	AUX
cana-276	75	15	a	a	DET
cana-276	75	16	revolutionary	revolutionary	ADJ
cana-276	75	17	new	new	ADJ
cana-276	75	18	approach	approach	NOUN
cana-276	75	19	to	to	ADP
cana-276	75	20	neural	neural	ADJ
cana-276	75	21	network	network	NOUN
cana-276	75	22	training	training	NOUN
cana-276	75	23	that	that	PRON
cana-276	75	24	overcomes	overcome	VERB
cana-276	75	25	the	the	DET
cana-276	75	26	shortcomings	shortcoming	NOUN
cana-276	75	27	of	of	ADP
cana-276	75	28	conventional	conventional	ADJ
cana-276	75	29	neural	neural	ADJ
cana-276	75	30	networks	network	NOUN
cana-276	75	31	in	in	ADP
cana-276	75	32	the	the	DET
cana-276	75	33	capture	capture	NOUN
cana-276	75	34	of	of	ADP
cana-276	75	35	complicated	complicated	ADJ
cana-276	75	36	,	,	PUNCT
cana-276	75	37	nonlinear	nonlinear	ADJ
cana-276	75	38	patterns	pattern	NOUN
cana-276	75	39	.	.	PUNCT
cana-276	76	1	by	by	ADP
cana-276	76	2	using	use	VERB
cana-276	76	3	a	a	DET
cana-276	76	4	hybrid	hybrid	ADJ
cana-276	76	5	learning	learning	NOUN
cana-276	76	6	system	system	NOUN
cana-276	76	7	,	,	PUNCT
cana-276	76	8	an	an	DET
cana-276	76	9	explainability	explainability	NOUN
cana-276	76	10	module	module	NOUN
cana-276	76	11	,	,	PUNCT
cana-276	76	12	ensembles	ensemble	NOUN
cana-276	76	13	integration	integration	NOUN
cana-276	76	14	,	,	PUNCT
cana-276	76	15	and	and	CCONJ
cana-276	76	16	adaptive	adaptive	ADJ
cana-276	76	17	design	design	NOUN
cana-276	76	18	,	,	PUNCT
cana-276	76	19	ndann	ndann	PROPN
cana-276	76	20	establishes	establish	VERB
cana-276	76	21	a	a	DET
cana-276	76	22	compromise	compromise	NOUN
cana-276	76	23	among	among	ADP
cana-276	76	24	model	model	NOUN
cana-276	76	25	complexity	complexity	NOUN
cana-276	76	26	&	&	CCONJ
cana-276	76	27	interpretability	interpretability	NOUN
cana-276	76	28	.	.	PUNCT
cana-276	77	1	when	when	SCONJ
cana-276	77	2	it	it	PRON
cana-276	77	3	comes	come	VERB
cana-276	77	4	to	to	ADP
cana-276	77	5	pattern	pattern	NOUN
cana-276	77	6	recognition	recognition	NOUN
cana-276	77	7	,	,	PUNCT
cana-276	77	8	ndann	ndann	PROPN
cana-276	77	9	claims	claim	VERB
cana-276	77	10	to	to	PART
cana-276	77	11	be	be	AUX
cana-276	77	12	superior	superior	ADJ
cana-276	77	13	since	since	SCONJ
cana-276	77	14	it	it	PRON
cana-276	77	15	tackles	tackle	VERB
cana-276	77	16	issues	issue	NOUN
cana-276	77	17	of	of	ADP
cana-276	77	18	interpretability	interpretability	NOUN
cana-276	77	19	,	,	PUNCT
cana-276	77	20	training	training	NOUN
cana-276	77	21	difficulty	difficulty	NOUN
cana-276	77	22	,	,	PUNCT
cana-276	77	23	and	and	CCONJ
cana-276	77	24	noise	noise	NOUN
cana-276	77	25	generalization	generalization	NOUN
cana-276	77	26	.	.	PUNCT
cana-276	78	1	the	the	DET
cana-276	78	2	effectiveness	effectiveness	NOUN
cana-276	78	3	of	of	ADP
cana-276	78	4	ndann	ndann	PROPN
cana-276	78	5	has	have	AUX
cana-276	78	6	been	be	AUX
cana-276	78	7	validated	validate	VERB
cana-276	78	8	by	by	ADP
cana-276	78	9	extensive	extensive	ADJ
cana-276	78	10	simulation	simulation	NOUN
cana-276	78	11	evaluations	evaluation	NOUN
cana-276	78	12	,	,	PUNCT
cana-276	78	13	demonstrating	demonstrate	VERB
cana-276	78	14	its	its	PRON
cana-276	78	15	potential	potential	NOUN
cana-276	78	16	to	to	PART
cana-276	78	17	transform	transform	VERB
cana-276	78	18	healthcare	healthcare	NOUN
cana-276	78	19	,	,	PUNCT
cana-276	78	20	processing	processing	NOUN
cana-276	78	21	of	of	ADP
cana-276	78	22	information	information	NOUN
cana-276	78	23	,	,	PUNCT
cana-276	78	24	and	and	CCONJ
cana-276	78	25	technology	technology	NOUN
cana-276	78	26	by	by	ADP
cana-276	78	27	accurately	accurately	ADV
cana-276	78	28	simulating	simulate	VERB
cana-276	78	29	nonlinear	nonlinear	ADJ
cana-276	78	30	dynamics	dynamic	NOUN
cana-276	78	31	.	.	PUNCT
cana-276	79	1	figure	figure	NOUN
cana-276	79	2	1	1	NUM
cana-276	79	3	:	:	PUNCT
cana-276	79	4	layers	layer	NOUN
cana-276	79	5	in	in	ADP
cana-276	79	6	nonlinear	nonlinear	ADJ
cana-276	79	7	dynamics	dynamic	NOUN
cana-276	79	8	of	of	ADP
cana-276	79	9	neural	neural	ADJ
cana-276	79	10	networks	network	NOUN
cana-276	79	11	in	in	ADP
cana-276	79	12	pattern	pattern	NOUN
cana-276	79	13	recognition	recognition	NOUN
cana-276	79	14	an	an	DET
cana-276	79	15	innovative	innovative	ADJ
cana-276	79	16	approach	approach	NOUN
cana-276	79	17	in	in	ADP
cana-276	79	18	artificial	artificial	ADJ
cana-276	79	19	intelligence	intelligence	NOUN
cana-276	79	20	and	and	CCONJ
cana-276	79	21	machine	machine	NOUN
cana-276	79	22	learning	learning	NOUN
cana-276	79	23	,	,	PUNCT
cana-276	79	24	the	the	DET
cana-276	79	25	combination	combination	NOUN
cana-276	79	26	of	of	ADP
cana-276	79	27	nonlinear	nonlinear	ADJ
cana-276	79	28	behaviour	behaviour	NOUN
cana-276	79	29	with	with	ADP
cana-276	79	30	neural	neural	ADJ
cana-276	79	31	networks	network	NOUN
cana-276	79	32	as	as	SCONJ
cana-276	79	33	the	the	DET
cana-276	79	34	basis	basis	NOUN
cana-276	79	35	has	have	AUX
cana-276	79	36	shown	show	VERB
cana-276	79	37	great	great	ADJ
cana-276	79	38	promise	promise	NOUN
cana-276	79	39	,	,	PUNCT
cana-276	79	40	especially	especially	ADV
cana-276	79	41	for	for	ADP
cana-276	79	42	pattern	pattern	NOUN
cana-276	79	43	recognition	recognition	NOUN
cana-276	79	44	.	.	PUNCT
cana-276	80	1	in	in	ADP
cana-276	80	2	order	order	NOUN
cana-276	80	3	to	to	PART
cana-276	80	4	improve	improve	VERB
cana-276	80	5	neural	neural	ADJ
cana-276	80	6	networks	network	NOUN
cana-276	80	7	'	'	PART
cana-276	80	8	capacity	capacity	NOUN
cana-276	80	9	to	to	PART
cana-276	80	10	understand	understand	VERB
cana-276	80	11	intricate	intricate	ADJ
cana-276	80	12	data	datum	NOUN
cana-276	80	13	patterns	pattern	NOUN
cana-276	80	14	and	and	CCONJ
cana-276	80	15	correlations	correlation	NOUN
cana-276	80	16	,	,	PUNCT
cana-276	80	17	this	this	DET
cana-276	80	18	multidisciplinary	multidisciplinary	ADJ
cana-276	80	19	strategy	strategy	NOUN
cana-276	80	20	integrates	integrate	VERB
cana-276	80	21	concepts	concept	NOUN
cana-276	80	22	from	from	ADP
cana-276	80	23	chaos	chaos	NOUN
cana-276	80	24	theory	theory	NOUN
cana-276	80	25	,	,	PUNCT
cana-276	80	26	dynamical	dynamical	ADJ
cana-276	80	27	systems	system	NOUN
cana-276	80	28	theory	theory	NOUN
cana-276	80	29	,	,	PUNCT
cana-276	80	30	and	and	CCONJ
cana-276	80	31	bifurcation	bifurcation	NOUN
cana-276	80	32	analysis	analysis	NOUN
cana-276	80	33	.	.	PUNCT
cana-276	81	1	the	the	DET
cana-276	81	2	main	main	ADJ
cana-276	81	3	parts	part	NOUN
cana-276	81	4	and	and	CCONJ
cana-276	81	5	steps	step	NOUN
cana-276	81	6	of	of	ADP
cana-276	81	7	this	this	DET
cana-276	81	8	procedure	procedure	NOUN
cana-276	81	9	are	be	AUX
cana-276	81	10	shown	show	VERB
cana-276	81	11	in	in	ADP
cana-276	81	12	figure	figure	NOUN
cana-276	81	13	1	1	NUM
cana-276	81	14	.	.	PUNCT
cana-276	81	15	data	datum	NOUN
cana-276	81	16	in	in	ADP
cana-276	81	17	its	its	PRON
cana-276	81	18	rawest	raw	ADJ
cana-276	81	19	form	form	NOUN
cana-276	81	20	,	,	PUNCT
cana-276	81	21	which	which	PRON
cana-276	81	22	may	may	AUX
cana-276	81	23	be	be	AUX
cana-276	81	24	pictures	picture	NOUN
cana-276	81	25	,	,	PUNCT
cana-276	81	26	signals	signal	NOUN
cana-276	81	27	,	,	PUNCT
cana-276	81	28	or	or	CCONJ
cana-276	81	29	anything	anything	PRON
cana-276	81	30	else	else	ADV
cana-276	81	31	,	,	PUNCT
cana-276	81	32	is	be	AUX
cana-276	81	33	where	where	SCONJ
cana-276	81	34	the	the	DET
cana-276	81	35	adventure	adventure	NOUN
cana-276	81	36	starts	start	VERB
cana-276	81	37	.	.	PUNCT
cana-276	82	1	everything	everything	PRON
cana-276	82	2	else	else	ADV
cana-276	82	3	that	that	PRON
cana-276	82	4	happens	happen	VERB
cana-276	82	5	later	later	ADV
cana-276	82	6	on	on	ADV
cana-276	82	7	in	in	ADP
cana-276	82	8	the	the	DET
cana-276	82	9	system	system	NOUN
cana-276	82	10	is	be	AUX
cana-276	82	11	built	build	VERB
cana-276	82	12	on	on	ADP
cana-276	82	13	top	top	NOUN
cana-276	82	14	of	of	ADP
cana-276	82	15	this	this	DET
cana-276	82	16	data	datum	NOUN
cana-276	82	17	.	.	PUNCT
cana-276	83	1	when	when	SCONJ
cana-276	83	2	it	it	PRON
cana-276	83	3	comes	come	VERB
cana-276	83	4	to	to	ADP
cana-276	83	5	improving	improve	VERB
cana-276	83	6	and	and	CCONJ
cana-276	83	7	refining	refine	VERB
cana-276	83	8	the	the	DET
cana-276	83	9	raw	raw	ADJ
cana-276	83	10	input	input	NOUN
cana-276	83	11	data	datum	NOUN
cana-276	83	12	,	,	PUNCT
cana-276	83	13	the	the	DET
cana-276	83	14	pre	pre	ADJ
cana-276	83	15	-	-	ADJ
cana-276	83	16	processing	processing	ADJ
cana-276	83	17	layer	layer	NOUN
cana-276	83	18	is	be	AUX
cana-276	83	19	crucial	crucial	ADJ
cana-276	83	20	.	.	PUNCT
cana-276	84	1	for	for	SCONJ
cana-276	84	2	communications	communication	NOUN
cana-276	84	3	on	on	ADP
cana-276	84	4	applied	apply	VERB
cana-276	84	5	nonlinear	nonlinear	ADJ
cana-276	84	6	analysis	analysis	NOUN
cana-276	84	7	issn	issn	NOUN
cana-276	84	8	:	:	PUNCT
cana-276	84	9	1074	1074	NUM
cana-276	84	10	-	-	PUNCT
cana-276	84	11	133x	133x	NUM
cana-276	84	12	vol	vol	NOUN
cana-276	84	13	30	30	NUM
cana-276	84	14	no	no	NOUN
cana-276	84	15	.	.	NOUN
cana-276	84	16	3	3	NUM
cana-276	84	17	(	(	PUNCT
cana-276	84	18	2023	2023	NUM
cana-276	84	19	)	)	PUNCT
cana-276	85	1	20	20	NUM
cana-276	85	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	85	3	the	the	DET
cana-276	85	4	neural	neural	ADJ
cana-276	85	5	network	network	NOUN
cana-276	85	6	to	to	PART
cana-276	85	7	get	get	VERB
cana-276	85	8	clean	clean	ADJ
cana-276	85	9	and	and	CCONJ
cana-276	85	10	uniform	uniform	ADJ
cana-276	85	11	input	input	NOUN
cana-276	85	12	,	,	PUNCT
cana-276	85	13	activities	activity	NOUN
cana-276	85	14	including	include	VERB
cana-276	85	15	data	datum	NOUN
cana-276	85	16	augmentation	augmentation	NOUN
cana-276	85	17	,	,	PUNCT
cana-276	85	18	normalization	normalization	NOUN
cana-276	85	19	,	,	PUNCT
cana-276	85	20	and	and	CCONJ
cana-276	85	21	noise	noise	NOUN
cana-276	85	22	reduction	reduction	NOUN
cana-276	85	23	may	may	AUX
cana-276	85	24	be	be	AUX
cana-276	85	25	necessary	necessary	ADJ
cana-276	85	26	.	.	PUNCT
cana-276	86	1	by	by	ADP
cana-276	86	2	utilizing	utilize	VERB
cana-276	86	3	the	the	DET
cana-276	86	4	feature	feature	NOUN
cana-276	86	5	extraction	extraction	NOUN
cana-276	86	6	layer	layer	NOUN
cana-276	86	7	,	,	PUNCT
cana-276	86	8	the	the	DET
cana-276	86	9	pre	pre	ADJ
cana-276	86	10	-	-	ADJ
cana-276	86	11	processed	process	VERB
cana-276	86	12	data	datum	NOUN
cana-276	86	13	's	's	PART
cana-276	86	14	most	most	ADV
cana-276	86	15	important	important	ADJ
cana-276	86	16	and	and	CCONJ
cana-276	86	17	distinguishing	distinguish	VERB
cana-276	86	18	features	feature	NOUN
cana-276	86	19	may	may	AUX
cana-276	86	20	be	be	AUX
cana-276	86	21	extracted	extract	VERB
cana-276	86	22	.	.	PUNCT
cana-276	87	1	finding	find	VERB
cana-276	87	2	and	and	CCONJ
cana-276	87	3	extracting	extract	VERB
cana-276	87	4	key	key	ADJ
cana-276	87	5	elements	element	NOUN
cana-276	87	6	that	that	PRON
cana-276	87	7	augment	augment	VERB
cana-276	87	8	comprehension	comprehension	NOUN
cana-276	87	9	of	of	ADP
cana-276	87	10	the	the	DET
cana-276	87	11	input	input	NOUN
cana-276	87	12	sequences	sequence	NOUN
cana-276	87	13	is	be	AUX
cana-276	87	14	what	what	PRON
cana-276	87	15	this	this	DET
cana-276	87	16	stage	stage	NOUN
cana-276	87	17	is	be	AUX
cana-276	87	18	all	all	ADV
cana-276	87	19	about	about	ADP
cana-276	87	20	.	.	PUNCT
cana-276	88	1	an	an	DET
cana-276	88	2	essential	essential	ADJ
cana-276	88	3	part	part	NOUN
cana-276	88	4	of	of	ADP
cana-276	88	5	this	this	PRON
cana-276	88	6	is	be	AUX
cana-276	88	7	using	use	VERB
cana-276	88	8	nonlinear	nonlinear	ADJ
cana-276	88	9	dynamics	dynamic	NOUN
cana-276	88	10	to	to	PART
cana-276	88	11	find	find	VERB
cana-276	88	12	complex	complex	ADJ
cana-276	88	13	patterns	pattern	NOUN
cana-276	88	14	that	that	PRON
cana-276	88	15	linear	linear	ADJ
cana-276	88	16	approaches	approach	NOUN
cana-276	88	17	could	could	AUX
cana-276	88	18	miss	miss	VERB
cana-276	88	19	.	.	PUNCT
cana-276	89	1	the	the	DET
cana-276	89	2	layer	layer	NOUN
cana-276	89	3	dealing	deal	VERB
cana-276	89	4	with	with	ADP
cana-276	89	5	nonlinear	nonlinear	ADJ
cana-276	89	6	behaviour	behaviour	NOUN
cana-276	89	7	of	of	ADP
cana-276	89	8	neural	neural	ADJ
cana-276	89	9	networks	network	NOUN
cana-276	89	10	is	be	AUX
cana-276	89	11	crucial	crucial	ADJ
cana-276	89	12	to	to	ADP
cana-276	89	13	the	the	DET
cana-276	89	14	system	system	NOUN
cana-276	89	15	.	.	PUNCT
cana-276	90	1	this	this	PRON
cana-276	90	2	includes	include	VERB
cana-276	90	3	incorporating	incorporate	VERB
cana-276	90	4	modern	modern	ADJ
cana-276	90	5	facilities	facility	NOUN
cana-276	90	6	ideas	idea	NOUN
cana-276	90	7	into	into	ADP
cana-276	90	8	the	the	DET
cana-276	90	9	neural	neural	ADJ
cana-276	90	10	network	network	NOUN
cana-276	90	11	design	design	NOUN
cana-276	90	12	from	from	ADP
cana-276	90	13	fields	field	NOUN
cana-276	90	14	including	include	VERB
cana-276	90	15	bifurcation	bifurcation	NOUN
cana-276	90	16	analysis	analysis	NOUN
cana-276	90	17	,	,	PUNCT
cana-276	90	18	dynamical	dynamical	ADJ
cana-276	90	19	systems	system	NOUN
cana-276	90	20	theory	theory	NOUN
cana-276	90	21	,	,	PUNCT
cana-276	90	22	and	and	CCONJ
cana-276	90	23	chaos	chaos	NOUN
cana-276	90	24	theory	theory	NOUN
cana-276	90	25	.	.	PUNCT
cana-276	91	1	it	it	PRON
cana-276	91	2	is	be	AUX
cana-276	91	3	now	now	ADV
cana-276	91	4	considered	consider	VERB
cana-276	91	5	the	the	DET
cana-276	91	6	network	network	NOUN
cana-276	91	7	as	as	ADP
cana-276	91	8	an	an	DET
cana-276	91	9	evolving	evolve	VERB
cana-276	91	10	system	system	NOUN
cana-276	91	11	that	that	PRON
cana-276	91	12	may	may	AUX
cana-276	91	13	display	display	VERB
cana-276	91	14	complicated	complicated	ADJ
cana-276	91	15	behaviours	behaviour	NOUN
cana-276	91	16	as	as	SCONJ
cana-276	91	17	time	time	NOUN
cana-276	91	18	goes	go	VERB
cana-276	91	19	on	on	ADV
cana-276	91	20	,	,	PUNCT
cana-276	91	21	rather	rather	ADV
cana-276	91	22	than	than	ADP
cana-276	91	23	a	a	DET
cana-276	91	24	fixed	fix	VERB
cana-276	91	25	object	object	NOUN
cana-276	91	26	.	.	PUNCT
cana-276	92	1	a	a	DET
cana-276	92	2	neural	neural	ADJ
cana-276	92	3	network	network	NOUN
cana-276	92	4	may	may	AUX
cana-276	92	5	learn	learn	VERB
cana-276	92	6	and	and	CCONJ
cana-276	92	7	adapt	adapt	VERB
cana-276	92	8	with	with	ADP
cana-276	92	9	the	the	DET
cana-276	92	10	help	help	NOUN
cana-276	92	11	of	of	ADP
cana-276	92	12	nonlinear	nonlinear	ADJ
cana-276	92	13	dynamics	dynamic	NOUN
cana-276	92	14	,	,	PUNCT
cana-276	92	15	which	which	PRON
cana-276	92	16	captures	capture	VERB
cana-276	92	17	the	the	DET
cana-276	92	18	nonlinearity	nonlinearity	NOUN
cana-276	92	19	and	and	CCONJ
cana-276	92	20	temporal	temporal	ADJ
cana-276	92	21	relationships	relationship	NOUN
cana-276	92	22	found	find	VERB
cana-276	92	23	in	in	ADP
cana-276	92	24	many	many	ADJ
cana-276	92	25	datasets	dataset	NOUN
cana-276	92	26	from	from	ADP
cana-276	92	27	the	the	DET
cana-276	92	28	real	real	ADJ
cana-276	92	29	world	world	NOUN
cana-276	92	30	.	.	PUNCT
cana-276	93	1	because	because	SCONJ
cana-276	93	2	chaos	chaos	NOUN
cana-276	93	3	theory	theory	NOUN
cana-276	93	4	is	be	AUX
cana-276	93	5	sensitive	sensitive	ADJ
cana-276	93	6	to	to	ADP
cana-276	93	7	starting	start	VERB
cana-276	93	8	circumstances	circumstance	NOUN
cana-276	93	9	,	,	PUNCT
cana-276	93	10	the	the	DET
cana-276	93	11	network	network	NOUN
cana-276	93	12	may	may	AUX
cana-276	93	13	learn	learn	VERB
cana-276	93	14	from	from	ADP
cana-276	93	15	a	a	DET
cana-276	93	16	wide	wide	ADJ
cana-276	93	17	variety	variety	NOUN
cana-276	93	18	of	of	ADP
cana-276	93	19	patterns	pattern	NOUN
cana-276	93	20	and	and	CCONJ
cana-276	93	21	configurations	configuration	NOUN
cana-276	93	22	.	.	PUNCT
cana-276	94	1	contrarily	contrarily	ADV
cana-276	94	2	,	,	PUNCT
cana-276	94	3	bifurcation	bifurcation	VERB
cana-276	94	4	analysis	analysis	NOUN
cana-276	94	5	sheds	shed	VERB
cana-276	94	6	light	light	NOUN
cana-276	94	7	on	on	ADP
cana-276	94	8	state	state	NOUN
cana-276	94	9	transitions	transition	NOUN
cana-276	94	10	by	by	ADP
cana-276	94	11	pinpointing	pinpoint	VERB
cana-276	94	12	important	important	ADJ
cana-276	94	13	moments	moment	NOUN
cana-276	94	14	in	in	ADP
cana-276	94	15	the	the	DET
cana-276	94	16	network	network	NOUN
cana-276	94	17	's	's	PART
cana-276	94	18	behaviour	behaviour	NOUN
cana-276	94	19	.	.	PUNCT
cana-276	95	1	prior	prior	ADV
cana-276	95	2	to	to	ADP
cana-276	95	3	the	the	DET
cana-276	95	4	classification	classification	NOUN
cana-276	95	5	layer	layer	NOUN
cana-276	95	6	,	,	PUNCT
cana-276	95	7	important	important	ADJ
cana-276	95	8	characteristics	characteristic	NOUN
cana-276	95	9	are	be	AUX
cana-276	95	10	extracted	extract	VERB
cana-276	95	11	and	and	CCONJ
cana-276	95	12	nonlinear	nonlinear	ADJ
cana-276	95	13	dynamics	dynamic	NOUN
cana-276	95	14	are	be	AUX
cana-276	95	15	injected	inject	VERB
cana-276	95	16	.	.	PUNCT
cana-276	96	1	in	in	ADP
cana-276	96	2	this	this	DET
cana-276	96	3	stage	stage	NOUN
cana-276	96	4	,	,	PUNCT
cana-276	96	5	the	the	DET
cana-276	96	6	input	input	NOUN
cana-276	96	7	data	data	NOUN
cana-276	96	8	is	be	AUX
cana-276	96	9	recognized	recognize	VERB
cana-276	96	10	and	and	CCONJ
cana-276	96	11	classified	classify	VERB
cana-276	96	12	using	use	VERB
cana-276	96	13	the	the	DET
cana-276	96	14	learnt	learnt	ADJ
cana-276	96	15	patterns	pattern	NOUN
cana-276	96	16	.	.	PUNCT
cana-276	97	1	it	it	PRON
cana-276	97	2	is	be	AUX
cana-276	97	3	then	then	ADV
cana-276	97	4	assigned	assign	VERB
cana-276	97	5	to	to	ADP
cana-276	97	6	predetermined	predetermine	VERB
cana-276	97	7	classes	class	NOUN
cana-276	97	8	.	.	PUNCT
cana-276	98	1	applications	application	NOUN
cana-276	98	2	in	in	ADP
cana-276	98	3	dynamic	dynamic	ADJ
cana-276	98	4	circumstances	circumstance	NOUN
cana-276	98	5	benefit	benefit	VERB
cana-276	98	6	greatly	greatly	ADV
cana-276	98	7	from	from	ADP
cana-276	98	8	the	the	DET
cana-276	98	9	network	network	NOUN
cana-276	98	10	's	's	PART
cana-276	98	11	enhanced	enhance	VERB
cana-276	98	12	capacity	capacity	NOUN
cana-276	98	13	to	to	PART
cana-276	98	14	handle	handle	VERB
cana-276	98	15	complex	complex	ADJ
cana-276	98	16	and	and	CCONJ
cana-276	98	17	developing	develop	VERB
cana-276	98	18	patterns	pattern	NOUN
cana-276	98	19	,	,	PUNCT
cana-276	98	20	which	which	PRON
cana-276	98	21	is	be	AUX
cana-276	98	22	achieved	achieve	VERB
cana-276	98	23	by	by	ADP
cana-276	98	24	the	the	DET
cana-276	98	25	nonlinear	nonlinear	ADJ
cana-276	98	26	dynamics	dynamic	NOUN
cana-276	98	27	layer	layer	NOUN
cana-276	98	28	's	's	PART
cana-276	98	29	dynamic	dynamic	ADJ
cana-276	98	30	flexibility	flexibility	NOUN
cana-276	98	31	.	.	PUNCT
cana-276	99	1	the	the	DET
cana-276	99	2	pattern	pattern	NOUN
cana-276	99	3	recognition	recognition	NOUN
cana-276	99	4	process	process	NOUN
cana-276	99	5	's	's	PART
cana-276	99	6	end	end	NOUN
cana-276	99	7	result	result	NOUN
cana-276	99	8	is	be	AUX
cana-276	99	9	the	the	DET
cana-276	99	10	system	system	NOUN
cana-276	99	11	's	's	PART
cana-276	99	12	ultimate	ultimate	ADJ
cana-276	99	13	output	output	NOUN
cana-276	99	14	.	.	PUNCT
cana-276	100	1	it	it	PRON
cana-276	100	2	might	might	AUX
cana-276	100	3	take	take	VERB
cana-276	100	4	the	the	DET
cana-276	100	5	form	form	NOUN
cana-276	100	6	of	of	ADP
cana-276	100	7	output	output	NOUN
cana-276	100	8	that	that	PRON
cana-276	100	9	is	be	AUX
cana-276	100	10	particular	particular	ADJ
cana-276	100	11	to	to	ADP
cana-276	100	12	the	the	DET
cana-276	100	13	application	application	NOUN
cana-276	100	14	,	,	PUNCT
cana-276	100	15	such	such	ADJ
cana-276	100	16	as	as	ADP
cana-276	100	17	class	class	NOUN
cana-276	100	18	labels	label	NOUN
cana-276	100	19	or	or	CCONJ
cana-276	100	20	probabilities	probability	NOUN
cana-276	100	21	.	.	PUNCT
cana-276	101	1	data	datum	NOUN
cana-276	101	2	undergoes	undergo	VERB
cana-276	101	3	a	a	DET
cana-276	101	4	complex	complex	ADJ
cana-276	101	5	journey	journey	NOUN
cana-276	101	6	through	through	ADP
cana-276	101	7	a	a	DET
cana-276	101	8	neural	neural	ADJ
cana-276	101	9	network	network	NOUN
cana-276	101	10	that	that	PRON
cana-276	101	11	is	be	AUX
cana-276	101	12	enhanced	enhance	VERB
cana-276	101	13	by	by	ADP
cana-276	101	14	nonlinear	nonlinear	ADJ
cana-276	101	15	dynamics	dynamic	NOUN
cana-276	101	16	principles	principle	NOUN
cana-276	101	17	,	,	PUNCT
cana-276	101	18	as	as	SCONJ
cana-276	101	19	demonstrated	demonstrate	VERB
cana-276	101	20	in	in	ADP
cana-276	101	21	figure	figure	NOUN
cana-276	101	22	1	1	NUM
cana-276	101	23	.	.	PUNCT
cana-276	101	24	improved	improve	VERB
cana-276	101	25	pattern	pattern	NOUN
cana-276	101	26	recognition	recognition	NOUN
cana-276	101	27	and	and	CCONJ
cana-276	101	28	the	the	DET
cana-276	101	29	neural	neural	ADJ
cana-276	101	30	network	network	NOUN
cana-276	101	31	's	's	PART
cana-276	101	32	flexibility	flexibility	NOUN
cana-276	101	33	for	for	ADP
cana-276	101	34	practical	practical	ADJ
cana-276	101	35	use	use	NOUN
cana-276	101	36	are	be	AUX
cana-276	101	37	both	both	PRON
cana-276	101	38	achieved	achieve	VERB
cana-276	101	39	by	by	ADP
cana-276	101	40	using	use	VERB
cana-276	101	41	a	a	DET
cana-276	101	42	holistic	holistic	ADJ
cana-276	101	43	approach	approach	NOUN
cana-276	101	44	.	.	PUNCT
cana-276	102	1	this	this	DET
cana-276	102	2	approach	approach	NOUN
cana-276	102	3	is	be	AUX
cana-276	102	4	a	a	DET
cana-276	102	5	powerful	powerful	ADJ
cana-276	102	6	technique	technique	NOUN
cana-276	102	7	for	for	ADP
cana-276	102	8	improving	improve	VERB
cana-276	102	9	neural	neural	ADJ
cana-276	102	10	networks	network	NOUN
cana-276	102	11	'	'	PART
cana-276	102	12	performance	performance	NOUN
cana-276	102	13	in	in	ADP
cana-276	102	14	pattern	pattern	NOUN
cana-276	102	15	recognition	recognition	NOUN
cana-276	102	16	applications	application	NOUN
cana-276	102	17	because	because	SCONJ
cana-276	102	18	it	it	PRON
cana-276	102	19	combines	combine	VERB
cana-276	102	20	preliminary	preliminary	ADJ
cana-276	102	21	processing	processing	NOUN
cana-276	102	22	,	,	PUNCT
cana-276	102	23	extraction	extraction	NOUN
cana-276	102	24	of	of	ADP
cana-276	102	25	features	feature	NOUN
cana-276	102	26	,	,	PUNCT
cana-276	102	27	and	and	CCONJ
cana-276	102	28	nonlinear	nonlinear	ADJ
cana-276	102	29	dynamics	dynamic	NOUN
cana-276	102	30	.	.	PUNCT
cana-276	103	1	the	the	DET
cana-276	103	2	complex	complex	ADJ
cana-276	103	3	interaction	interaction	NOUN
cana-276	103	4	between	between	ADP
cana-276	103	5	activations	activation	NOUN
cana-276	103	6	&	&	CCONJ
cana-276	103	7	feedback	feedback	NOUN
cana-276	103	8	inhibition	inhibition	NOUN
cana-276	103	9	leads	lead	VERB
cana-276	103	10	to	to	ADP
cana-276	103	11	improved	improved	ADJ
cana-276	103	12	performance	performance	NOUN
cana-276	103	13	and	and	CCONJ
cana-276	103	14	flexibility	flexibility	NOUN
cana-276	103	15	,	,	PUNCT
cana-276	103	16	as	as	SCONJ
cana-276	103	17	shown	show	VERB
cana-276	103	18	in	in	ADP
cana-276	103	19	figure	figure	NOUN
cana-276	103	20	1	1	NUM
cana-276	103	21	,	,	PUNCT
cana-276	103	22	which	which	PRON
cana-276	103	23	demonstrates	demonstrate	VERB
cana-276	103	24	the	the	DET
cana-276	103	25	nonlinear	nonlinear	ADJ
cana-276	103	26	behaviour	behaviour	NOUN
cana-276	103	27	of	of	ADP
cana-276	103	28	neural	neural	ADJ
cana-276	103	29	networks	network	NOUN
cana-276	103	30	used	use	VERB
cana-276	103	31	in	in	ADP
cana-276	103	32	recognizing	recognize	VERB
cana-276	103	33	patterns	pattern	NOUN
cana-276	103	34	.	.	PUNCT
cana-276	104	1	𝑄	𝑄	PRON
cana-276	104	2	=	=	SYM
cana-276	104	3	∫	∫	PROPN
cana-276	104	4	𝑓−(𝛽.𝑦2).cos(𝛾.𝑦).𝑄(𝑇𝑟𝑢𝑒	𝑓−(𝛽.𝑦2).cos(𝛾.𝑦).𝑄(𝑇𝑟𝑢𝑒	PROPN
cana-276	104	5	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	VERB
cana-276	104	6	∞	∞	PROPN
cana-276	104	7	−∞	−∞	ADP
cana-276	104	8	√∫	√∫	ADJ
cana-276	104	9	𝑓−(𝛿.𝑦2).𝑄(𝐹𝑎𝑙𝑠𝑒	𝑓−(𝛿.𝑦2).𝑄(𝐹𝑎𝑙𝑠𝑒	VERB
cana-276	104	10	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦+𝛼	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦+𝛼	PROPN
cana-276	104	11	∞	∞	PROPN
cana-276	104	12	−∞	−∞	X
cana-276	104	13	(	(	PUNCT
cana-276	104	14	1	1	X
cana-276	104	15	)	)	PUNCT
cana-276	104	16	the	the	DET
cana-276	104	17	total	total	ADJ
cana-276	104	18	accuracy	accuracy	NOUN
cana-276	104	19	in	in	ADP
cana-276	104	20	pattern	pattern	NOUN
cana-276	104	21	recognition	recognition	NOUN
cana-276	104	22	is	be	AUX
cana-276	104	23	represented	represent	VERB
cana-276	104	24	by	by	ADP
cana-276	104	25	𝑄	𝑄	PROPN
cana-276	104	26	in	in	ADP
cana-276	104	27	the	the	DET
cana-276	104	28	equation	equation	NOUN
cana-276	104	29	(	(	PUNCT
cana-276	104	30	1	1	NUM
cana-276	104	31	)	)	PUNCT
cana-276	104	32	,	,	PUNCT
cana-276	104	33	which	which	PRON
cana-276	104	34	is	be	AUX
cana-276	104	35	an	an	DET
cana-276	104	36	expression	expression	NOUN
cana-276	104	37	of	of	ADP
cana-276	104	38	integrals	integral	NOUN
cana-276	104	39	across	across	ADP
cana-276	104	40	the	the	DET
cana-276	104	41	whole	whole	ADJ
cana-276	104	42	real	real	ADJ
cana-276	104	43	number	number	NOUN
cana-276	104	44	line	line	NOUN
cana-276	104	45	.	.	PUNCT
cana-276	105	1	a	a	DET
cana-276	105	2	gaussian	gaussian	ADJ
cana-276	105	3	distribution	distribution	NOUN
cana-276	105	4	with	with	ADP
cana-276	105	5	parameter	parameter	NOUN
cana-276	105	6	𝛿	𝛿	PROPN
cana-276	105	7	is	be	AUX
cana-276	105	8	involved	involve	VERB
cana-276	105	9	in	in	ADP
cana-276	105	10	the	the	DET
cana-276	105	11	equation	equation	NOUN
cana-276	105	12	(	(	PUNCT
cana-276	105	13	1	1	X
cana-276	105	14	)	)	PUNCT
cana-276	105	15	𝑓−(𝛿.𝑦2	𝑓−(𝛿.𝑦2	NOUN
cana-276	105	16	)	)	PUNCT
cana-276	105	17	.	.	PUNCT
cana-276	106	1	𝑄(𝐹𝑎𝑙𝑠𝑒	𝑄(𝐹𝑎𝑙𝑠𝑒	VERB
cana-276	106	2	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	NOUN
cana-276	106	3	)	)	PUNCT
cana-276	106	4	,	,	PUNCT
cana-276	106	5	which	which	PRON
cana-276	106	6	represents	represent	VERB
cana-276	106	7	the	the	DET
cana-276	106	8	probability	probability	NOUN
cana-276	106	9	density	density	NOUN
cana-276	106	10	of	of	ADP
cana-276	106	11	false	false	ADJ
cana-276	106	12	positives	positive	NOUN
cana-276	106	13	conditional	conditional	ADJ
cana-276	106	14	on	on	ADP
cana-276	106	15	the	the	DET
cana-276	106	16	continuous	continuous	ADJ
cana-276	106	17	variable	variable	NOUN
cana-276	106	18	𝑦.	𝑦.	VERB
cana-276	106	19	the	the	DET
cana-276	106	20	impact	impact	NOUN
cana-276	106	21	of	of	ADP
cana-276	106	22	false	false	ADJ
cana-276	106	23	positives	positive	NOUN
cana-276	106	24	on	on	ADP
cana-276	106	25	the	the	DET
cana-276	106	26	total	total	ADJ
cana-276	106	27	accuracy	accuracy	NOUN
cana-276	106	28	is	be	AUX
cana-276	106	29	taken	take	VERB
cana-276	106	30	into	into	ADP
cana-276	106	31	consideration	consideration	NOUN
cana-276	106	32	in	in	ADP
cana-276	106	33	the	the	DET
cana-276	106	34	first	first	ADJ
cana-276	106	35	integral	integral	NOUN
cana-276	106	36	.	.	PUNCT
cana-276	107	1	an	an	DET
cana-276	107	2	additional	additional	ADJ
cana-276	107	3	,	,	PUNCT
cana-276	107	4	more	more	ADV
cana-276	107	5	intricate	intricate	ADJ
cana-276	107	6	structure	structure	NOUN
cana-276	107	7	is	be	AUX
cana-276	107	8	introduced	introduce	VERB
cana-276	107	9	by	by	ADP
cana-276	107	10	the	the	DET
cana-276	107	11	second	second	ADJ
cana-276	107	12	term	term	NOUN
cana-276	107	13	,	,	PUNCT
cana-276	107	14	which	which	PRON
cana-276	107	15	are	be	AUX
cana-276	107	16	the	the	DET
cana-276	107	17	product	product	NOUN
cana-276	107	18	of	of	ADP
cana-276	107	19	a	a	DET
cana-276	107	20	gaussian	gaussian	ADJ
cana-276	107	21	distribution	distribution	NOUN
cana-276	107	22	with	with	ADP
cana-276	107	23	parameters	parameter	NOUN
cana-276	107	24	𝛽	𝛽	PROPN
cana-276	107	25	and	and	CCONJ
cana-276	107	26	a	a	DET
cana-276	107	27	cosine	cosine	NOUN
cana-276	107	28	function	function	NOUN
cana-276	107	29	with	with	ADP
cana-276	107	30	parameters	parameter	NOUN
cana-276	107	31	𝛾	𝛾	ADP
cana-276	107	32	and	and	CCONJ
cana-276	107	33	the	the	DET
cana-276	107	34	integral	integral	ADJ
cana-276	107	35	of	of	ADP
cana-276	107	36	𝑓−(𝛽.𝑦2	𝑓−(𝛽.𝑦2	NOUN
cana-276	107	37	)	)	PUNCT
cana-276	107	38	.	.	PUNCT
cana-276	108	1	cos(𝛾.	cos(𝛾.	PROPN
cana-276	108	2	𝑦	𝑦	NUM
cana-276	108	3	)	)	PUNCT
cana-276	108	4	.	.	PUNCT
cana-276	108	5	𝑄(𝑇𝑟𝑢𝑒	𝑄(𝑇𝑟𝑢𝑒	PUNCT
cana-276	109	1	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	NOUN
cana-276	109	2	)	)	PUNCT
cana-276	109	3	.	.	PUNCT
cana-276	110	1	when	when	SCONJ
cana-276	110	2	analyzing	analyze	VERB
cana-276	110	3	the	the	DET
cana-276	110	4	probability	probability	NOUN
cana-276	110	5	distribution	distribution	NOUN
cana-276	110	6	of	of	ADP
cana-276	110	7	true	true	ADJ
cana-276	110	8	positives	positive	NOUN
cana-276	110	9	across	across	ADP
cana-276	110	10	the	the	DET
cana-276	110	11	continuous	continuous	ADJ
cana-276	110	12	variable	variable	ADJ
cana-276	110	13	𝑦	𝑦	NOUN
cana-276	110	14	,	,	PUNCT
cana-276	110	15	this	this	DET
cana-276	110	16	term	term	NOUN
cana-276	110	17	quantifies	quantify	VERB
cana-276	110	18	their	their	PRON
cana-276	110	19	effect	effect	NOUN
cana-276	110	20	𝑄(𝑇𝑟𝑢𝑒	𝑄(𝑇𝑟𝑢𝑒	ADJ
cana-276	111	1	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	NOUN
cana-276	111	2	)	)	PUNCT
cana-276	111	3	.	.	PUNCT
cana-276	112	1	communications	communication	NOUN
cana-276	112	2	on	on	ADP
cana-276	112	3	applied	apply	VERB
cana-276	112	4	nonlinear	nonlinear	ADJ
cana-276	112	5	analysis	analysis	NOUN
cana-276	112	6	issn	issn	NOUN
cana-276	112	7	:	:	PUNCT
cana-276	112	8	1074	1074	NUM
cana-276	112	9	-	-	PUNCT
cana-276	112	10	133x	133x	NUM
cana-276	112	11	vol	vol	NOUN
cana-276	112	12	30	30	NUM
cana-276	112	13	no	no	NOUN
cana-276	112	14	.	.	NOUN
cana-276	112	15	3	3	NUM
cana-276	112	16	(	(	PUNCT
cana-276	112	17	2023	2023	NUM
cana-276	112	18	)	)	PUNCT
cana-276	112	19	21	21	NUM
cana-276	112	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	113	1	the	the	DET
cana-276	113	2	complex	complex	ADJ
cana-276	113	3	link	link	NOUN
cana-276	113	4	between	between	ADP
cana-276	113	5	both	both	CCONJ
cana-276	113	6	true	true	ADJ
cana-276	113	7	and	and	CCONJ
cana-276	113	8	false	false	ADJ
cana-276	113	9	positives	positive	NOUN
cana-276	113	10	throughout	throughout	ADP
cana-276	113	11	the	the	DET
cana-276	113	12	continuous	continuous	ADJ
cana-276	113	13	range	range	NOUN
cana-276	113	14	of	of	ADP
cana-276	113	15	the	the	DET
cana-276	113	16	variable	variable	ADJ
cana-276	113	17	𝑦	𝑦	NOUN
cana-276	113	18	is	be	AUX
cana-276	113	19	considered	consider	VERB
cana-276	113	20	in	in	ADP
cana-276	113	21	the	the	DET
cana-276	113	22	evaluation	evaluation	NOUN
cana-276	113	23	of	of	ADP
cana-276	113	24	accuracy	accuracy	NOUN
cana-276	113	25	through	through	ADP
cana-276	113	26	the	the	DET
cana-276	113	27	interaction	interaction	NOUN
cana-276	113	28	of	of	ADP
cana-276	113	29	these	these	DET
cana-276	113	30	integrals	integral	NOUN
cana-276	113	31	with	with	ADP
cana-276	113	32	non	non	ADJ
cana-276	113	33	-	-	ADJ
cana-276	113	34	linear	linear	ADJ
cana-276	113	35	functions	function	NOUN
cana-276	113	36	,	,	PUNCT
cana-276	113	37	which	which	PRON
cana-276	113	38	represent	represent	VERB
cana-276	113	39	a	a	DET
cana-276	113	40	probabilistic	probabilistic	ADJ
cana-276	113	41	method	method	NOUN
cana-276	113	42	.	.	PUNCT
cana-276	114	1	𝐵	𝐵	NOUN
cana-276	114	2	=	=	SYM
cana-276	114	3	∫	∫	PROPN
cana-276	114	4	𝑓−(𝛽.𝑦2	𝑓−(𝛽.𝑦2	NOUN
cana-276	114	5	)	)	PUNCT
cana-276	114	6	√𝜋	√𝜋	X
cana-276	115	1	∞	∞	PROPN
cana-276	115	2	−∞	−∞	X
cana-276	115	3	.𝑙𝑜𝑔𝛾(𝛿.cosh(𝛼.𝑦)).𝑄(𝐶𝑜𝑟𝑟𝑒𝑐𝑡	.𝑙𝑜𝑔𝛾(𝛿.cosh(𝛼.𝑦)).𝑄(𝐶𝑜𝑟𝑟𝑒𝑐𝑡	PROPN
cana-276	115	4	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦)𝑑𝑦	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦)𝑑𝑦	PROPN
cana-276	115	5	∫	∫	PROPN
cana-276	115	6	𝑓−(𝜖.𝑦2	𝑓−(𝜖.𝑦2	PROPN
cana-276	115	7	)	)	PUNCT
cana-276	115	8	√𝜋	√𝜋	X
cana-276	116	1	∞	∞	PROPN
cana-276	116	2	−∞	−∞	X
cana-276	116	3	.𝑙𝑜𝑔𝜗(𝜔.sinh(𝜃.𝑦)).𝑄(𝐼𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡	.𝑙𝑜𝑔𝜗(𝜔.sinh(𝜃.𝑦)).𝑄(𝐼𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡	PROPN
cana-276	116	4	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦)𝑑𝑦+𝐿	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦)𝑑𝑦+𝐿	PROPN
cana-276	116	5	(	(	PUNCT
cana-276	116	6	2	2	NUM
cana-276	116	7	)	)	PUNCT
cana-276	116	8	a	a	DET
cana-276	116	9	complex	complex	ADJ
cana-276	116	10	measure	measure	NOUN
cana-276	116	11	of	of	ADP
cana-276	116	12	the	the	DET
cana-276	116	13	overall	overall	ADJ
cana-276	116	14	accuracy	accuracy	NOUN
cana-276	116	15	of	of	ADP
cana-276	116	16	the	the	DET
cana-276	116	17	model	model	NOUN
cana-276	116	18	in	in	ADP
cana-276	116	19	the	the	DET
cana-276	116	20	classification	classification	NOUN
cana-276	116	21	context	context	NOUN
cana-276	116	22	,	,	PUNCT
cana-276	116	23	𝐵	𝐵	NOUN
cana-276	116	24	in	in	ADP
cana-276	116	25	the	the	DET
cana-276	116	26	equation	equation	NOUN
cana-276	116	27	(	(	PUNCT
cana-276	116	28	2	2	X
cana-276	116	29	)	)	PUNCT
cana-276	116	30	is	be	AUX
cana-276	116	31	defined	define	VERB
cana-276	116	32	as	as	ADP
cana-276	116	33	the	the	DET
cana-276	116	34	sum	sum	NOUN
cana-276	116	35	of	of	ADP
cana-276	116	36	all	all	DET
cana-276	116	37	integrals	integral	NOUN
cana-276	116	38	across	across	ADP
cana-276	116	39	the	the	DET
cana-276	116	40	whole	whole	ADJ
cana-276	116	41	real	real	ADJ
cana-276	116	42	number	number	NOUN
cana-276	116	43	line	line	NOUN
cana-276	116	44	.	.	PUNCT
cana-276	117	1	the	the	DET
cana-276	117	2	probability	probability	NOUN
cana-276	117	3	density	density	NOUN
cana-276	117	4	of	of	ADP
cana-276	117	5	incorrect	incorrect	ADJ
cana-276	117	6	classifications	classification	NOUN
cana-276	117	7	conditional	conditional	ADJ
cana-276	117	8	on	on	ADP
cana-276	117	9	the	the	DET
cana-276	117	10	continuous	continuous	ADJ
cana-276	117	11	variable	variable	NOUN
cana-276	117	12	𝑦	𝑦	NOUN
cana-276	117	13	,	,	PUNCT
cana-276	117	14	as	as	SCONJ
cana-276	117	15	captured	capture	VERB
cana-276	117	16	by	by	ADP
cana-276	117	17	the	the	DET
cana-276	117	18	initial	initial	ADJ
cana-276	117	19	term	term	NOUN
cana-276	117	20	,	,	PUNCT
cana-276	117	21	𝑓−(𝜖.𝑦2	𝑓−(𝜖.𝑦2	ADJ
cana-276	117	22	)	)	PUNCT
cana-276	117	23	√𝜋	√𝜋	PUNCT
cana-276	117	24	.	.	PUNCT
cana-276	118	1	𝑙𝑜𝑔𝜗(𝜔.	𝑙𝑜𝑔𝜗(𝜔.	ADV
cana-276	118	2	sinh(𝜃.	sinh(𝜃.	VERB
cana-276	118	3	𝑦	𝑦	NOUN
cana-276	118	4	)	)	PUNCT
cana-276	118	5	)	)	PUNCT
cana-276	118	6	.	.	PUNCT
cana-276	119	1	𝑄(𝐼𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡	𝑄(𝐼𝑛𝑐𝑜𝑟𝑟𝑒𝑐𝑡	PROPN
cana-276	119	2	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦	PROPN
cana-276	119	3	)	)	PUNCT
cana-276	119	4	,	,	PUNCT
cana-276	119	5	includes	include	VERB
cana-276	119	6	a	a	DET
cana-276	119	7	gaussian	gaussian	ADJ
cana-276	119	8	distribution	distribution	NOUN
cana-276	119	9	with	with	ADP
cana-276	119	10	parameter	parameter	PROPN
cana-276	119	11	𝜖	𝜖	PROPN
cana-276	119	12	and	and	CCONJ
cana-276	119	13	a	a	DET
cana-276	119	14	logarithmic	logarithmic	ADJ
cana-276	119	15	term	term	NOUN
cana-276	119	16	involving	involve	VERB
cana-276	119	17	a	a	DET
cana-276	119	18	hyperbolic	hyperbolic	ADJ
cana-276	119	19	sine	sine	NOUN
cana-276	119	20	function	function	NOUN
cana-276	119	21	.	.	PUNCT
cana-276	120	1	this	this	DET
cana-276	120	2	metric	metric	ADJ
cana-276	120	3	measures	measure	NOUN
cana-276	120	4	how	how	SCONJ
cana-276	120	5	much	much	ADJ
cana-276	120	6	inaccurate	inaccurate	ADJ
cana-276	120	7	categorizations	categorization	NOUN
cana-276	120	8	impacted	impact	VERB
cana-276	120	9	the	the	DET
cana-276	120	10	total	total	ADJ
cana-276	120	11	precision	precision	NOUN
cana-276	120	12	.	.	PUNCT
cana-276	121	1	an	an	DET
cana-276	121	2	additional	additional	ADJ
cana-276	121	3	level	level	NOUN
cana-276	121	4	of	of	ADP
cana-276	121	5	complexity	complexity	NOUN
cana-276	121	6	is	be	AUX
cana-276	121	7	introduced	introduce	VERB
cana-276	121	8	by	by	ADP
cana-276	121	9	the	the	DET
cana-276	121	10	second	second	ADJ
cana-276	121	11	term	term	NOUN
cana-276	121	12	,	,	PUNCT
cana-276	121	13	which	which	PRON
cana-276	121	14	is	be	AUX
cana-276	121	15	𝑓−(𝛽.𝑦2	𝑓−(𝛽.𝑦2	NOUN
cana-276	121	16	)	)	PUNCT
cana-276	121	17	√𝜋	√𝜋	X
cana-276	121	18	.	.	PUNCT
cana-276	122	1	𝑙𝑜𝑔𝛾(𝛿.	𝑙𝑜𝑔𝛾(𝛿.	PROPN
cana-276	122	2	cosh(𝛼.	cosh(𝛼.	PROPN
cana-276	122	3	𝑦	𝑦	PROPN
cana-276	122	4	)	)	PUNCT
cana-276	122	5	)	)	PUNCT
cana-276	122	6	.	.	PUNCT
cana-276	123	1	𝑄(𝐶𝑜𝑟𝑟𝑒𝑐𝑡	𝑄(𝐶𝑜𝑟𝑟𝑒𝑐𝑡	PROPN
cana-276	123	2	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦	PROPN
cana-276	123	3	)	)	PUNCT
cana-276	123	4	,	,	PUNCT
cana-276	123	5	which	which	PRON
cana-276	123	6	uses	use	VERB
cana-276	123	7	a	a	DET
cana-276	123	8	hyperbolic	hyperbolic	ADJ
cana-276	123	9	cosine	cosine	NOUN
cana-276	123	10	function	function	NOUN
cana-276	123	11	and	and	CCONJ
cana-276	123	12	a	a	DET
cana-276	123	13	logarithmic	logarithmic	ADJ
cana-276	123	14	term	term	NOUN
cana-276	123	15	.	.	PUNCT
cana-276	124	1	the	the	DET
cana-276	124	2	impact	impact	NOUN
cana-276	124	3	of	of	ADP
cana-276	124	4	accurate	accurate	ADJ
cana-276	124	5	classifications	classification	NOUN
cana-276	124	6	is	be	AUX
cana-276	124	7	taken	take	VERB
cana-276	124	8	into	into	ADP
cana-276	124	9	consideration	consideration	NOUN
cana-276	124	10	by	by	ADP
cana-276	124	11	this	this	DET
cana-276	124	12	term	term	NOUN
cana-276	124	13	,	,	PUNCT
cana-276	124	14	which	which	PRON
cana-276	124	15	takes	take	VERB
cana-276	124	16	into	into	ADP
cana-276	124	17	account	account	NOUN
cana-276	124	18	the	the	DET
cana-276	124	19	probability	probability	NOUN
cana-276	124	20	distribution	distribution	NOUN
cana-276	124	21	of	of	ADP
cana-276	124	22	𝑄(𝐶𝑜𝑟𝑟𝑒𝑐𝑡	𝑄(𝐶𝑜𝑟𝑟𝑒𝑐𝑡	PROPN
cana-276	124	23	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦	𝐶𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑐𝑎𝑡𝑖𝑜𝑛|𝑦	PROPN
cana-276	124	24	)	)	PUNCT
cana-276	124	25	over	over	ADP
cana-276	124	26	the	the	DET
cana-276	124	27	continuous	continuous	ADJ
cana-276	124	28	variable	variable	NOUN
cana-276	124	29	𝑦.	𝑦.	VERB
cana-276	124	30	the	the	DET
cana-276	124	31	equation	equation	NOUN
cana-276	124	32	(	(	PUNCT
cana-276	124	33	2	2	X
cana-276	124	34	)	)	PUNCT
cana-276	124	35	represents	represent	VERB
cana-276	124	36	a	a	DET
cana-276	124	37	probabilistic	probabilistic	ADJ
cana-276	124	38	and	and	CCONJ
cana-276	124	39	complex	complex	ADJ
cana-276	124	40	assessment	assessment	NOUN
cana-276	124	41	of	of	ADP
cana-276	124	42	the	the	DET
cana-276	124	43	model	model	NOUN
cana-276	124	44	's	's	PART
cana-276	124	45	correctness	correctness	NOUN
cana-276	124	46	;	;	PUNCT
cana-276	124	47	it	it	PRON
cana-276	124	48	captures	capture	VERB
cana-276	124	49	the	the	DET
cana-276	124	50	interaction	interaction	NOUN
cana-276	124	51	between	between	ADP
cana-276	124	52	right	right	ADJ
cana-276	124	53	and	and	CCONJ
cana-276	124	54	wrong	wrong	ADJ
cana-276	124	55	classifications	classification	NOUN
cana-276	124	56	throughout	throughout	ADP
cana-276	124	57	a	a	DET
cana-276	124	58	continuous	continuous	ADJ
cana-276	124	59	spectrum	spectrum	NOUN
cana-276	124	60	and	and	CCONJ
cana-276	124	61	allows	allow	VERB
cana-276	124	62	for	for	SCONJ
cana-276	124	63	parameters	parameter	NOUN
cana-276	124	64	to	to	PART
cana-276	124	65	be	be	AUX
cana-276	124	66	adjusted	adjust	VERB
cana-276	124	67	accounting	accounting	NOUN
cana-276	124	68	for	for	ADP
cana-276	124	69	different	different	ADJ
cana-276	124	70	parts	part	NOUN
cana-276	124	71	of	of	ADP
cana-276	124	72	the	the	DET
cana-276	124	73	model	model	NOUN
cana-276	124	74	's	's	PART
cana-276	124	75	performance	performance	NOUN
cana-276	124	76	.	.	PUNCT
cana-276	125	1	𝑆	𝑆	PROPN
cana-276	125	2	=	=	SYM
cana-276	125	3	∫	∫	PROPN
cana-276	125	4	𝑓−(𝛽.𝑦2	𝑓−(𝛽.𝑦2	PROPN
cana-276	125	5	)	)	PUNCT
cana-276	125	6	√𝜋	√𝜋	X
cana-276	126	1	.𝑙𝑜𝑔𝛾(𝛿.arccsc(𝛼.𝑦)).𝑄(𝑇𝑟𝑢𝑒	.𝑙𝑜𝑔𝛾(𝛿.arccsc(𝛼.𝑦)).𝑄(𝑇𝑟𝑢𝑒	PROPN
cana-276	126	2	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	VERB
cana-276	126	3	∞	∞	PROPN
cana-276	126	4	−∞	−∞	ADP
cana-276	126	5	√∫	√∫	ADJ
cana-276	126	6	𝑓−(𝜖.𝑦2	𝑓−(𝜖.𝑦2	NOUN
cana-276	126	7	)	)	PUNCT
cana-276	126	8	√𝜋	√𝜋	X
cana-276	127	1	∞	∞	NUM
cana-276	127	2	−∞	−∞	ADP
cana-276	127	3	.𝑙𝑜𝑔𝜗(𝜔.arccoth(𝜃.𝑦)).𝑄(𝐹𝑎𝑙𝑠𝑒	.𝑙𝑜𝑔𝜗(𝜔.arccoth(𝜃.𝑦)).𝑄(𝐹𝑎𝑙𝑠𝑒	NOUN
cana-276	127	4	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	NOUN
cana-276	128	1	3	3	NUM
cana-276	128	2	+	+	NOUN
cana-276	128	3	𝐿	𝐿	PROPN
cana-276	128	4	(	(	PUNCT
cana-276	128	5	3	3	NUM
cana-276	128	6	)	)	PUNCT
cana-276	128	7	in	in	ADP
cana-276	128	8	the	the	DET
cana-276	128	9	recall	recall	NOUN
cana-276	128	10	equation	equation	NOUN
cana-276	128	11	(	(	PUNCT
cana-276	128	12	3	3	NUM
cana-276	128	13	)	)	PUNCT
cana-276	128	14	,	,	PUNCT
cana-276	128	15	denoted	denote	VERB
cana-276	128	16	as	as	ADP
cana-276	128	17	𝑆	𝑆	PROPN
cana-276	128	18	,	,	PUNCT
cana-276	128	19	the	the	DET
cana-276	128	20	parameters	parameter	NOUN
cana-276	128	21	(	(	PUNCT
cana-276	128	22	𝛽	𝛽	NOUN
cana-276	128	23	,	,	PUNCT
cana-276	128	24	𝛾	𝛾	PROPN
cana-276	128	25	,	,	PUNCT
cana-276	128	26	𝛼	𝛼	NOUN
cana-276	128	27	,	,	PUNCT
cana-276	128	28	𝛿	𝛿	ADJ
cana-276	128	29	,	,	PUNCT
cana-276	128	30	𝜗	𝜗	NOUN
cana-276	128	31	,	,	PUNCT
cana-276	128	32	𝜔	𝜔	VERB
cana-276	128	33	,	,	PUNCT
cana-276	128	34	𝜃	𝜃	NOUN
cana-276	128	35	and	and	CCONJ
cana-276	128	36	𝐿	𝐿	PROPN
cana-276	128	37	)	)	PUNCT
cana-276	128	38	are	be	AUX
cana-276	128	39	pivotal	pivotal	ADJ
cana-276	128	40	in	in	ADP
cana-276	128	41	customizing	customize	VERB
cana-276	128	42	the	the	DET
cana-276	128	43	analysis	analysis	NOUN
cana-276	128	44	to	to	ADP
cana-276	128	45	certain	certain	ADJ
cana-276	128	46	data	datum	NOUN
cana-276	128	47	properties	property	NOUN
cana-276	128	48	.	.	PUNCT
cana-276	129	1	the	the	DET
cana-276	129	2	effect	effect	NOUN
cana-276	129	3	of	of	ADP
cana-276	129	4	the	the	DET
cana-276	129	5	input	input	NOUN
cana-276	129	6	variable	variable	ADJ
cana-276	129	7	𝑦	𝑦	NOUN
cana-276	129	8	on	on	ADP
cana-276	129	9	false	false	ADJ
cana-276	129	10	negatives	negative	NOUN
cana-276	129	11	is	be	AUX
cana-276	129	12	represented	represent	VERB
cana-276	129	13	by	by	ADP
cana-276	129	14	the	the	DET
cana-276	129	15	parameter	parameter	NOUN
cana-276	129	16	𝜖	𝜖	PROPN
cana-276	129	17	in	in	ADP
cana-276	129	18	the	the	DET
cana-276	129	19	exponential	exponential	ADJ
cana-276	129	20	term	term	NOUN
cana-276	129	21	,	,	PUNCT
cana-276	129	22	which	which	PRON
cana-276	129	23	is	be	AUX
cana-276	129	24	a	a	DET
cana-276	129	25	gaussian	gaussian	ADJ
cana-276	129	26	distribution	distribution	NOUN
cana-276	129	27	in	in	ADP
cana-276	129	28	the	the	DET
cana-276	129	29	first	first	ADJ
cana-276	129	30	integral	integral	NOUN
cana-276	129	31	.	.	PUNCT
cana-276	130	1	the	the	DET
cana-276	130	2	hyperbolic	hyperbolic	ADJ
cana-276	130	3	arccoth	arccoth	NOUN
cana-276	130	4	functional	functional	ADJ
cana-276	130	5	(	(	PUNCT
cana-276	130	6	𝜔.	𝜔.	X
cana-276	130	7	arccoth(𝜃.	arccoth(𝜃.	PROPN
cana-276	130	8	𝑦	𝑦	NOUN
cana-276	130	9	)	)	PUNCT
cana-276	130	10	)	)	PUNCT
cana-276	130	11	is	be	AUX
cana-276	130	12	given	give	VERB
cana-276	130	13	by	by	ADP
cana-276	130	14	the	the	DET
cana-276	130	15	logarithmic	logarithmic	ADJ
cana-276	130	16	function	function	NOUN
cana-276	130	17	with	with	ADP
cana-276	130	18	base	base	NOUN
cana-276	130	19	𝜗	𝜗	NOUN
cana-276	130	20	,	,	PUNCT
cana-276	130	21	which	which	PRON
cana-276	130	22	captures	capture	VERB
cana-276	130	23	complicated	complicated	ADJ
cana-276	130	24	relationships	relationship	NOUN
cana-276	130	25	in	in	ADP
cana-276	130	26	the	the	DET
cana-276	130	27	recall	recall	NOUN
cana-276	130	28	evaluation	evaluation	NOUN
cana-276	130	29	and	and	CCONJ
cana-276	130	30	adds	add	VERB
cana-276	130	31	another	another	DET
cana-276	130	32	degree	degree	NOUN
cana-276	130	33	of	of	ADP
cana-276	130	34	complexity	complexity	NOUN
cana-276	130	35	.	.	PUNCT
cana-276	131	1	the	the	DET
cana-276	131	2	analysis	analysis	NOUN
cana-276	131	3	is	be	AUX
cana-276	131	4	further	far	ADV
cana-276	131	5	refined	refine	VERB
cana-276	131	6	in	in	ADP
cana-276	131	7	its	its	PRON
cana-276	131	8	probabilistic	probabilistic	ADJ
cana-276	131	9	character	character	NOUN
cana-276	131	10	by	by	ADP
cana-276	131	11	𝑄(𝐹𝑎𝑙𝑠𝑒	𝑄(𝐹𝑎𝑙𝑠𝑒	NOUN
cana-276	131	12	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦	PROPN
cana-276	131	13	)	)	PUNCT
cana-276	131	14	.	.	PUNCT
cana-276	132	1	in	in	ADP
cana-276	132	2	the	the	DET
cana-276	132	3	same	same	ADJ
cana-276	132	4	way	way	NOUN
cana-276	132	5	,	,	PUNCT
cana-276	132	6	the	the	DET
cana-276	132	7	second	second	ADJ
cana-276	132	8	integral	integral	NOUN
cana-276	132	9	represents	represent	VERB
cana-276	132	10	the	the	DET
cana-276	132	11	contribution	contribution	NOUN
cana-276	132	12	of	of	ADP
cana-276	132	13	true	true	ADJ
cana-276	132	14	positives	positive	NOUN
cana-276	132	15	and	and	CCONJ
cana-276	132	16	uses	use	VERB
cana-276	132	17	a	a	DET
cana-276	132	18	second	second	ADJ
cana-276	132	19	gaussian	gaussian	ADJ
cana-276	132	20	distribution	distribution	NOUN
cana-276	132	21	with	with	ADP
cana-276	132	22	an	an	DET
cana-276	132	23	adjustable	adjustable	ADJ
cana-276	132	24	parameter	parameter	NOUN
cana-276	132	25	𝛽	𝛽	PROPN
cana-276	132	26	and	and	CCONJ
cana-276	132	27	a	a	DET
cana-276	132	28	logarithmic	logarithmic	ADJ
cana-276	132	29	function	function	NOUN
cana-276	132	30	with	with	ADP
cana-276	132	31	a	a	DET
cana-276	132	32	base	base	NOUN
cana-276	132	33	of	of	ADP
cana-276	132	34	𝛾	𝛾	PROPN
cana-276	132	35	performed	perform	VERB
cana-276	132	36	to	to	ADP
cana-276	132	37	the	the	DET
cana-276	132	38	inverse	inverse	NOUN
cana-276	132	39	trigonometry	trigonometry	NOUN
cana-276	132	40	function	function	NOUN
cana-276	132	41	(	(	PUNCT
cana-276	132	42	𝛿.	𝛿.	NOUN
cana-276	132	43	arccsc(𝛼.	arccsc(𝛼.	PROPN
cana-276	132	44	𝑦	𝑦	PROPN
cana-276	132	45	)	)	PUNCT
cana-276	132	46	)	)	PUNCT
cana-276	132	47	.	.	PUNCT
cana-276	133	1	the	the	DET
cana-276	133	2	probability	probability	NOUN
cana-276	133	3	estimation	estimation	NOUN
cana-276	133	4	is	be	AUX
cana-276	133	5	refined	refine	VERB
cana-276	133	6	by	by	ADP
cana-276	133	7	𝑄(𝑇𝑟𝑢𝑒	𝑄(𝑇𝑟𝑢𝑒	NOUN
cana-276	133	8	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	NOUN
cana-276	133	9	)	)	PUNCT
cana-276	133	10	.	.	PUNCT
cana-276	134	1	with	with	ADP
cana-276	134	2	the	the	DET
cana-276	134	3	parameter	parameter	NOUN
cana-276	134	4	𝐿	𝐿	PROPN
cana-276	134	5	scaling	scale	VERB
cana-276	134	6	the	the	DET
cana-276	134	7	total	total	ADJ
cana-276	134	8	contribution	contribution	NOUN
cana-276	134	9	,	,	PUNCT
cana-276	134	10	the	the	DET
cana-276	134	11	recall	recall	NOUN
cana-276	134	12	equation	equation	NOUN
cana-276	134	13	(	(	PUNCT
cana-276	134	14	3	3	X
cana-276	134	15	)	)	PUNCT
cana-276	134	16	may	may	AUX
cana-276	134	17	be	be	AUX
cana-276	134	18	adjusted	adjust	VERB
cana-276	134	19	to	to	ADP
cana-276	134	20	some	some	DET
cana-276	134	21	extent	extent	NOUN
cana-276	134	22	,	,	PUNCT
cana-276	134	23	transforming	transform	VERB
cana-276	134	24	it	it	PRON
cana-276	134	25	into	into	ADP
cana-276	134	26	a	a	DET
cana-276	134	27	flexible	flexible	ADJ
cana-276	134	28	and	and	CCONJ
cana-276	134	29	advanced	advanced	ADJ
cana-276	134	30	tool	tool	NOUN
cana-276	134	31	for	for	ADP
cana-276	134	32	studying	study	VERB
cana-276	134	33	the	the	DET
cana-276	134	34	relationship	relationship	NOUN
cana-276	134	35	among	among	ADP
cana-276	134	36	true	true	ADJ
cana-276	134	37	positives	positive	NOUN
cana-276	134	38	&	&	CCONJ
cana-276	134	39	false	false	ADJ
cana-276	134	40	negatives	negative	NOUN
cana-276	134	41	in	in	ADP
cana-276	134	42	various	various	ADJ
cana-276	134	43	data	datum	NOUN
cana-276	134	44	situations	situation	NOUN
cana-276	134	45	.	.	PUNCT
cana-276	135	1	communications	communication	NOUN
cana-276	135	2	on	on	ADP
cana-276	135	3	applied	apply	VERB
cana-276	135	4	nonlinear	nonlinear	ADJ
cana-276	135	5	analysis	analysis	NOUN
cana-276	135	6	issn	issn	NOUN
cana-276	135	7	:	:	PUNCT
cana-276	135	8	1074	1074	NUM
cana-276	135	9	-	-	PUNCT
cana-276	135	10	133x	133x	NUM
cana-276	135	11	vol	vol	NOUN
cana-276	135	12	30	30	NUM
cana-276	135	13	no	no	NOUN
cana-276	135	14	.	.	NOUN
cana-276	135	15	3	3	NUM
cana-276	135	16	(	(	PUNCT
cana-276	135	17	2023	2023	NUM
cana-276	135	18	)	)	PUNCT
cana-276	135	19	22	22	NUM
cana-276	136	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	136	2	figure	figure	NOUN
cana-276	136	3	2	2	NUM
cana-276	136	4	:	:	PUNCT
cana-276	136	5	architecture	architecture	NOUN
cana-276	136	6	of	of	ADP
cana-276	136	7	adaptive	adaptive	ADJ
cana-276	136	8	neural	neural	ADJ
cana-276	136	9	networks	network	NOUN
cana-276	136	10	for	for	ADP
cana-276	136	11	pattern	pattern	NOUN
cana-276	136	12	recognition	recognition	NOUN
cana-276	136	13	based	base	VERB
cana-276	136	14	on	on	ADP
cana-276	136	15	nonlinear	nonlinear	ADJ
cana-276	136	16	dynamics	dynamic	NOUN
cana-276	136	17	(	(	PUNCT
cana-276	136	18	ndann	ndann	PROPN
cana-276	136	19	)	)	PUNCT
cana-276	136	20	the	the	DET
cana-276	136	21	ndann	ndann	ADJ
cana-276	136	22	architecture	architecture	NOUN
cana-276	136	23	,	,	PUNCT
cana-276	136	24	shown	show	VERB
cana-276	136	25	in	in	ADP
cana-276	136	26	figure	figure	NOUN
cana-276	136	27	2	2	NUM
cana-276	136	28	,	,	PUNCT
cana-276	136	29	revolutionizes	revolutionize	VERB
cana-276	136	30	pattern	pattern	NOUN
cana-276	136	31	recognition	recognition	NOUN
cana-276	136	32	by	by	ADP
cana-276	136	33	utilizing	utilize	VERB
cana-276	136	34	the	the	DET
cana-276	136	35	combined	combine	VERB
cana-276	136	36	strengths	strength	NOUN
cana-276	136	37	of	of	ADP
cana-276	136	38	its	its	PRON
cana-276	136	39	parts	part	NOUN
cana-276	136	40	.	.	PUNCT
cana-276	137	1	by	by	ADP
cana-276	137	2	utilizing	utilize	VERB
cana-276	137	3	the	the	DET
cana-276	137	4	hybrid	hybrid	ADJ
cana-276	137	5	training	training	NOUN
cana-276	137	6	algorithms	algorithm	NOUN
cana-276	137	7	,	,	PUNCT
cana-276	137	8	explainability	explainability	NOUN
cana-276	137	9	module	module	NOUN
cana-276	137	10	,	,	PUNCT
cana-276	137	11	ensemble	ensemble	ADJ
cana-276	137	12	integrating	integrating	NOUN
cana-276	137	13	,	,	PUNCT
cana-276	137	14	regularization	regularization	NOUN
cana-276	137	15	for	for	ADP
cana-276	137	16	stability	stability	NOUN
cana-276	137	17	,	,	PUNCT
cana-276	137	18	&	&	CCONJ
cana-276	137	19	adaptive	adaptive	ADJ
cana-276	137	20	architecture	architecture	NOUN
cana-276	137	21	,	,	PUNCT
cana-276	137	22	ndann	ndann	PROPN
cana-276	137	23	ensures	ensure	VERB
cana-276	137	24	accurate	accurate	ADJ
cana-276	137	25	and	and	CCONJ
cana-276	137	26	dependable	dependable	ADJ
cana-276	137	27	pattern	pattern	NOUN
cana-276	137	28	recognition	recognition	NOUN
cana-276	137	29	while	while	SCONJ
cana-276	137	30	maintaining	maintain	VERB
cana-276	137	31	a	a	DET
cana-276	137	32	delicate	delicate	ADJ
cana-276	137	33	balance	balance	NOUN
cana-276	137	34	between	between	ADP
cana-276	137	35	complexity	complexity	NOUN
cana-276	137	36	and	and	CCONJ
cana-276	137	37	interpretability	interpretability	NOUN
cana-276	137	38	.	.	PUNCT
cana-276	138	1	medical	medical	ADJ
cana-276	138	2	treatment	treatment	NOUN
cana-276	138	3	,	,	PUNCT
cana-276	138	4	data	datum	NOUN
cana-276	138	5	processing	processing	NOUN
cana-276	138	6	,	,	PUNCT
cana-276	138	7	and	and	CCONJ
cana-276	138	8	technological	technological	ADJ
cana-276	138	9	innovation	innovation	NOUN
cana-276	138	10	stand	stand	VERB
cana-276	138	11	to	to	PART
cana-276	138	12	benefit	benefit	VERB
cana-276	138	13	greatly	greatly	ADV
cana-276	138	14	from	from	ADP
cana-276	138	15	this	this	DET
cana-276	138	16	adaptable	adaptable	ADJ
cana-276	138	17	neural	neural	ADJ
cana-276	138	18	network	network	NOUN
cana-276	138	19	.	.	PUNCT
cana-276	139	1	pattern	pattern	NOUN
cana-276	139	2	recognition	recognition	NOUN
cana-276	139	3	using	use	VERB
cana-276	139	4	a	a	DET
cana-276	139	5	nonlinear	nonlinear	ADJ
cana-276	139	6	dynamics	dynamic	NOUN
cana-276	139	7	-	-	PUNCT
cana-276	139	8	driven	drive	VERB
cana-276	139	9	adaptive	adaptive	ADJ
cana-276	139	10	neural	neural	ADJ
cana-276	139	11	network	network	NOUN
cana-276	139	12	(	(	PUNCT
cana-276	139	13	ndann	ndann	PROPN
cana-276	139	14	)	)	PUNCT
cana-276	139	15	is	be	AUX
cana-276	139	16	depicted	depict	VERB
cana-276	139	17	in	in	ADP
cana-276	139	18	the	the	DET
cana-276	139	19	figure	figure	NOUN
cana-276	139	20	2	2	NUM
cana-276	139	21	,	,	PUNCT
cana-276	139	22	which	which	PRON
cana-276	139	23	serves	serve	VERB
cana-276	139	24	to	to	PART
cana-276	139	25	explain	explain	VERB
cana-276	139	26	its	its	PRON
cana-276	139	27	overall	overall	ADJ
cana-276	139	28	design	design	NOUN
cana-276	139	29	.	.	PUNCT
cana-276	140	1	when	when	SCONJ
cana-276	140	2	conventional	conventional	ADJ
cana-276	140	3	neural	neural	ADJ
cana-276	140	4	networks	network	NOUN
cana-276	140	5	fail	fail	VERB
cana-276	140	6	to	to	PART
cana-276	140	7	adequately	adequately	ADV
cana-276	140	8	capture	capture	VERB
cana-276	140	9	complicated	complicated	ADJ
cana-276	140	10	,	,	PUNCT
cana-276	140	11	nonlinear	nonlinear	ADJ
cana-276	140	12	patterns	pattern	NOUN
cana-276	140	13	in	in	ADP
cana-276	140	14	actual	actual	ADJ
cana-276	140	15	data	datum	NOUN
cana-276	140	16	,	,	PUNCT
cana-276	140	17	ndann	ndann	NOUN
cana-276	140	18	steps	step	NOUN
cana-276	140	19	in	in	ADP
cana-276	140	20	as	as	ADP
cana-276	140	21	a	a	DET
cana-276	140	22	fresh	fresh	ADJ
cana-276	140	23	,	,	PUNCT
cana-276	140	24	innovative	innovative	ADJ
cana-276	140	25	answer	answer	NOUN
cana-276	140	26	.	.	PUNCT
cana-276	141	1	the	the	DET
cana-276	141	2	input	input	NOUN
cana-276	141	3	data	data	NOUN
cana-276	141	4	is	be	AUX
cana-276	141	5	the	the	DET
cana-276	141	6	starting	starting	NOUN
cana-276	141	7	point	point	NOUN
cana-276	141	8	;	;	PUNCT
cana-276	141	9	it	it	PRON
cana-276	141	10	stands	stand	VERB
cana-276	141	11	for	for	ADP
cana-276	141	12	the	the	DET
cana-276	141	13	unprocessed	unprocessed	ADJ
cana-276	141	14	data	datum	NOUN
cana-276	141	15	from	from	ADP
cana-276	141	16	which	which	PRON
cana-276	141	17	the	the	DET
cana-276	141	18	algorithm	algorithm	NOUN
cana-276	141	19	will	will	AUX
cana-276	141	20	attempt	attempt	VERB
cana-276	141	21	to	to	PART
cana-276	141	22	extract	extract	VERB
cana-276	141	23	patterns	pattern	NOUN
cana-276	141	24	.	.	PUNCT
cana-276	142	1	this	this	DET
cana-276	142	2	data	datum	NOUN
cana-276	142	3	might	might	AUX
cana-276	142	4	be	be	AUX
cana-276	142	5	diverse	diverse	ADJ
cana-276	142	6	and	and	CCONJ
cana-276	142	7	come	come	VERB
cana-276	142	8	from	from	ADP
cana-276	142	9	a	a	DET
cana-276	142	10	variety	variety	NOUN
cana-276	142	11	of	of	ADP
cana-276	142	12	sources	source	NOUN
cana-276	142	13	,	,	PUNCT
cana-276	142	14	including	include	VERB
cana-276	142	15	photographs	photograph	NOUN
cana-276	142	16	,	,	PUNCT
cana-276	142	17	text	text	NOUN
cana-276	142	18	,	,	PUNCT
cana-276	142	19	or	or	CCONJ
cana-276	142	20	signals	signal	NOUN
cana-276	142	21	,	,	PUNCT
cana-276	142	22	among	among	ADP
cana-276	142	23	others	other	NOUN
cana-276	142	24	.	.	PUNCT
cana-276	143	1	system	system	NOUN
cana-276	143	2	implementation	implementation	NOUN
cana-276	143	3	of	of	ADP
cana-276	143	4	feature	feature	NOUN
cana-276	143	5	extraction	extraction	NOUN
cana-276	143	6	and	and	CCONJ
cana-276	143	7	preprocessing	preprocessing	NOUN
cana-276	143	8	procedures	procedure	NOUN
cana-276	143	9	improves	improve	VERB
cana-276	143	10	input	input	NOUN
cana-276	143	11	data	datum	NOUN
cana-276	143	12	quality	quality	NOUN
cana-276	143	13	and	and	CCONJ
cana-276	143	14	relevance	relevance	NOUN
cana-276	143	15	.	.	PUNCT
cana-276	144	1	data	datum	NOUN
cana-276	144	2	cleansing	cleansing	NOUN
cana-276	144	3	and	and	CCONJ
cana-276	144	4	transformation	transformation	NOUN
cana-276	144	5	,	,	PUNCT
cana-276	144	6	feature	feature	NOUN
cana-276	144	7	extraction	extraction	NOUN
cana-276	144	8	,	,	PUNCT
cana-276	144	9	and	and	CCONJ
cana-276	144	10	preparation	preparation	NOUN
cana-276	144	11	for	for	ADP
cana-276	144	12	future	future	ADJ
cana-276	144	13	analysis	analysis	NOUN
cana-276	144	14	are	be	AUX
cana-276	144	15	all	all	PRON
cana-276	144	16	part	part	NOUN
cana-276	144	17	of	of	ADP
cana-276	144	18	this	this	DET
cana-276	144	19	phase	phase	NOUN
cana-276	144	20	.	.	PUNCT
cana-276	145	1	the	the	DET
cana-276	145	2	ndann	ndann	PROPN
cana-276	145	3	,	,	PUNCT
cana-276	145	4	a	a	DET
cana-276	145	5	particular	particular	ADJ
cana-276	145	6	neural	neural	ADJ
cana-276	145	7	network	network	NOUN
cana-276	145	8	built	build	VERB
cana-276	145	9	to	to	PART
cana-276	145	10	properly	properly	ADV
cana-276	145	11	embrace	embrace	VERB
cana-276	145	12	and	and	CCONJ
cana-276	145	13	use	use	VERB
cana-276	145	14	nonlinear	nonlinear	ADJ
cana-276	145	15	dynamics	dynamic	NOUN
cana-276	145	16	,	,	PUNCT
cana-276	145	17	is	be	AUX
cana-276	145	18	the	the	DET
cana-276	145	19	foundation	foundation	NOUN
cana-276	145	20	of	of	ADP
cana-276	145	21	the	the	DET
cana-276	145	22	system	system	NOUN
cana-276	145	23	.	.	PUNCT
cana-276	146	1	to	to	PART
cana-276	146	2	improve	improve	VERB
cana-276	146	3	efficiency	efficiency	NOUN
cana-276	146	4	,	,	PUNCT
cana-276	146	5	interpretability	interpretability	NOUN
cana-276	146	6	,	,	PUNCT
cana-276	146	7	and	and	CCONJ
cana-276	146	8	adaptability	adaptability	NOUN
cana-276	146	9	in	in	ADP
cana-276	146	10	identifying	identify	VERB
cana-276	146	11	complex	complex	ADJ
cana-276	146	12	patterns	pattern	NOUN
cana-276	146	13	,	,	PUNCT
cana-276	146	14	ndann	ndann	PROPN
cana-276	146	15	uses	use	VERB
cana-276	146	16	an	an	DET
cana-276	146	17	advanced	advanced	ADJ
cana-276	146	18	approach	approach	NOUN
cana-276	146	19	that	that	PRON
cana-276	146	20	combines	combine	VERB
cana-276	146	21	several	several	ADJ
cana-276	146	22	critical	critical	ADJ
cana-276	146	23	components	component	NOUN
cana-276	146	24	,	,	PUNCT
cana-276	146	25	setting	set	VERB
cana-276	146	26	it	it	PRON
cana-276	146	27	apart	apart	ADV
cana-276	146	28	from	from	ADP
cana-276	146	29	conventional	conventional	ADJ
cana-276	146	30	neural	neural	ADJ
cana-276	146	31	networks	network	NOUN
cana-276	146	32	.	.	PUNCT
cana-276	147	1	by	by	ADP
cana-276	147	2	using	use	VERB
cana-276	147	3	a	a	DET
cana-276	147	4	hybrid	hybrid	ADJ
cana-276	147	5	learning	learning	NOUN
cana-276	147	6	algorithm	algorithm	NOUN
cana-276	147	7	,	,	PUNCT
cana-276	147	8	ndann	ndann	PROPN
cana-276	147	9	is	be	AUX
cana-276	147	10	able	able	ADJ
cana-276	147	11	to	to	PART
cana-276	147	12	achieve	achieve	VERB
cana-276	147	13	an	an	DET
cana-276	147	14	appropriate	appropriate	ADJ
cana-276	147	15	balance	balance	NOUN
cana-276	147	16	between	between	ADP
cana-276	147	17	the	the	DET
cana-276	147	18	model	model	NOUN
cana-276	147	19	's	's	PART
cana-276	147	20	complexity	complexity	NOUN
cana-276	147	21	and	and	CCONJ
cana-276	147	22	its	its	PRON
cana-276	147	23	interpretability	interpretability	NOUN
cana-276	147	24	.	.	PUNCT
cana-276	148	1	as	as	ADP
cana-276	148	2	a	a	DET
cana-276	148	3	result	result	NOUN
cana-276	148	4	of	of	ADP
cana-276	148	5	this	this	DET
cana-276	148	6	algorithm	algorithm	NOUN
cana-276	148	7	's	's	PART
cana-276	148	8	integration	integration	NOUN
cana-276	148	9	of	of	ADP
cana-276	148	10	many	many	ADJ
cana-276	148	11	learning	learning	NOUN
cana-276	148	12	strategies	strategy	NOUN
cana-276	148	13	,	,	PUNCT
cana-276	148	14	the	the	DET
cana-276	148	15	neural	neural	ADJ
cana-276	148	16	network	network	NOUN
cana-276	148	17	can	can	AUX
cana-276	148	18	adapt	adapt	VERB
cana-276	148	19	to	to	ADP
cana-276	148	20	nonlinear	nonlinear	ADJ
cana-276	148	21	pattern	pattern	NOUN
cana-276	148	22	complexity	complexity	NOUN
cana-276	148	23	while	while	SCONJ
cana-276	148	24	keeping	keep	VERB
cana-276	148	25	its	its	PRON
cana-276	148	26	decision	decision	NOUN
cana-276	148	27	-	-	PUNCT
cana-276	148	28	making	make	VERB
cana-276	148	29	process	process	NOUN
cana-276	148	30	transparent	transparent	ADJ
cana-276	148	31	.	.	PUNCT
cana-276	149	1	with	with	ADP
cana-276	149	2	the	the	DET
cana-276	149	3	explainability	explainability	NOUN
cana-276	149	4	module	module	NOUN
cana-276	149	5	,	,	PUNCT
cana-276	149	6	ndann	ndann	PROPN
cana-276	149	7	improves	improve	VERB
cana-276	149	8	interpretability	interpretability	NOUN
cana-276	149	9	.	.	PUNCT
cana-276	150	1	to	to	PART
cana-276	150	2	make	make	VERB
cana-276	150	3	the	the	DET
cana-276	150	4	neural	neural	ADJ
cana-276	150	5	network	network	NOUN
cana-276	150	6	's	's	PART
cana-276	150	7	process	process	NOUN
cana-276	150	8	of	of	ADP
cana-276	150	9	decision	decision	NOUN
cana-276	150	10	-	-	PUNCT
cana-276	150	11	making	make	VERB
cana-276	150	12	more	more	ADV
cana-276	150	13	clear	clear	ADJ
cana-276	150	14	and	and	CCONJ
cana-276	150	15	comprehensible	comprehensible	ADJ
cana-276	150	16	,	,	PUNCT
cana-276	150	17	this	this	DET
cana-276	150	18	module	module	NOUN
cana-276	150	19	offers	offer	VERB
cana-276	150	20	information	information	NOUN
cana-276	150	21	.	.	PUNCT
cana-276	151	1	there	there	PRON
cana-276	151	2	are	be	VERB
cana-276	151	3	some	some	DET
cana-276	151	4	uses	use	NOUN
cana-276	151	5	where	where	SCONJ
cana-276	151	6	the	the	DET
cana-276	151	7	model	model	NOUN
cana-276	151	8	's	's	PART
cana-276	151	9	interpretability	interpretability	NOUN
cana-276	151	10	is	be	AUX
cana-276	151	11	more	more	ADV
cana-276	151	12	essential	essential	ADJ
cana-276	151	13	than	than	ADP
cana-276	151	14	its	its	PRON
cana-276	151	15	accuracy	accuracy	NOUN
cana-276	151	16	,	,	PUNCT
cana-276	151	17	and	and	CCONJ
cana-276	151	18	this	this	PRON
cana-276	151	19	is	be	AUX
cana-276	151	20	a	a	DET
cana-276	151	21	must	must	NOUN
cana-276	151	22	.	.	PUNCT
cana-276	152	1	incorporating	incorporate	VERB
cana-276	152	2	an	an	DET
cana-276	152	3	ensemble	ensemble	ADJ
cana-276	152	4	learning	learning	NOUN
cana-276	152	5	strategy	strategy	NOUN
cana-276	152	6	,	,	PUNCT
cana-276	152	7	ndann	ndann	NOUN
cana-276	152	8	enhances	enhance	VERB
cana-276	152	9	generalizability	generalizability	NOUN
cana-276	152	10	and	and	CCONJ
cana-276	152	11	endurance	endurance	NOUN
cana-276	152	12	.	.	PUNCT
cana-276	153	1	ensembles	ensemble	NOUN
cana-276	153	2	are	be	AUX
cana-276	153	3	made	make	VERB
cana-276	153	4	up	up	ADP
cana-276	153	5	of	of	ADP
cana-276	153	6	communications	communication	NOUN
cana-276	153	7	on	on	ADP
cana-276	153	8	applied	apply	VERB
cana-276	153	9	nonlinear	nonlinear	ADJ
cana-276	153	10	analysis	analysis	NOUN
cana-276	153	11	issn	issn	NOUN
cana-276	153	12	:	:	PUNCT
cana-276	153	13	1074	1074	NUM
cana-276	153	14	-	-	PUNCT
cana-276	153	15	133x	133x	NUM
cana-276	153	16	vol	vol	NOUN
cana-276	153	17	30	30	NUM
cana-276	154	1	no	no	NOUN
cana-276	154	2	.	.	NOUN
cana-276	154	3	3	3	NUM
cana-276	154	4	(	(	PUNCT
cana-276	154	5	2023	2023	NUM
cana-276	154	6	)	)	PUNCT
cana-276	154	7	23	23	NUM
cana-276	155	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	155	2	many	many	ADJ
cana-276	155	3	models	model	NOUN
cana-276	155	4	that	that	PRON
cana-276	155	5	work	work	VERB
cana-276	155	6	together	together	ADV
cana-276	155	7	to	to	PART
cana-276	155	8	aid	aid	VERB
cana-276	155	9	in	in	ADP
cana-276	155	10	recognition	recognition	NOUN
cana-276	155	11	.	.	PUNCT
cana-276	156	1	particularly	particularly	ADV
cana-276	156	2	when	when	SCONJ
cana-276	156	3	dealing	deal	VERB
cana-276	156	4	with	with	ADP
cana-276	156	5	chaotic	chaotic	ADJ
cana-276	156	6	information	information	NOUN
cana-276	156	7	,	,	PUNCT
cana-276	156	8	this	this	PRON
cana-276	156	9	guarantees	guarantee	VERB
cana-276	156	10	more	more	ADV
cana-276	156	11	trustworthy	trustworthy	ADJ
cana-276	156	12	outcomes	outcome	NOUN
cana-276	156	13	.	.	PUNCT
cana-276	157	1	as	as	ADP
cana-276	157	2	a	a	DET
cana-276	157	3	solution	solution	NOUN
cana-276	157	4	to	to	ADP
cana-276	157	5	the	the	DET
cana-276	157	6	problems	problem	NOUN
cana-276	157	7	that	that	PRON
cana-276	157	8	arise	arise	VERB
cana-276	157	9	from	from	ADP
cana-276	157	10	complex	complex	ADJ
cana-276	157	11	training	training	NOUN
cana-276	157	12	,	,	PUNCT
cana-276	157	13	ndann	ndann	PROPN
cana-276	157	14	uses	use	VERB
cana-276	157	15	regularization	regularization	NOUN
cana-276	157	16	for	for	ADP
cana-276	157	17	stability	stability	NOUN
cana-276	157	18	.	.	PUNCT
cana-276	158	1	to	to	PART
cana-276	158	2	improve	improve	VERB
cana-276	158	3	the	the	DET
cana-276	158	4	network	network	NOUN
cana-276	158	5	's	's	PART
cana-276	158	6	generalizability	generalizability	NOUN
cana-276	158	7	to	to	PART
cana-276	158	8	novel	novel	VERB
cana-276	158	9	,	,	PUNCT
cana-276	158	10	unknown	unknown	ADJ
cana-276	158	11	data	datum	NOUN
cana-276	158	12	,	,	PUNCT
cana-276	158	13	this	this	DET
cana-276	158	14	method	method	NOUN
cana-276	158	15	aids	aid	NOUN
cana-276	158	16	in	in	ADP
cana-276	158	17	avoiding	avoid	VERB
cana-276	158	18	over	over	ADP
cana-276	158	19	fitting	fitting	ADJ
cana-276	158	20	.	.	PUNCT
cana-276	159	1	the	the	DET
cana-276	159	2	structure	structure	NOUN
cana-276	159	3	of	of	ADP
cana-276	159	4	ndann	ndann	PROPN
cana-276	159	5	is	be	AUX
cana-276	159	6	dynamically	dynamically	ADV
cana-276	159	7	adjusted	adjust	VERB
cana-276	159	8	by	by	ADP
cana-276	159	9	its	its	PRON
cana-276	159	10	adaptive	adaptive	ADJ
cana-276	159	11	architecture	architecture	NOUN
cana-276	159	12	according	accord	VERB
cana-276	159	13	to	to	ADP
cana-276	159	14	the	the	DET
cana-276	159	15	input	input	NOUN
cana-276	159	16	data	datum	NOUN
cana-276	159	17	's	's	PART
cana-276	159	18	properties	property	NOUN
cana-276	159	19	.	.	PUNCT
cana-276	160	1	the	the	DET
cana-276	160	2	versatility	versatility	NOUN
cana-276	160	3	of	of	ADP
cana-276	160	4	the	the	DET
cana-276	160	5	network	network	NOUN
cana-276	160	6	makes	make	VERB
cana-276	160	7	it	it	PRON
cana-276	160	8	ideal	ideal	ADJ
cana-276	160	9	for	for	ADP
cana-276	160	10	many	many	ADJ
cana-276	160	11	uses	use	NOUN
cana-276	160	12	,	,	PUNCT
cana-276	160	13	as	as	SCONJ
cana-276	160	14	it	it	PRON
cana-276	160	15	improves	improve	VERB
cana-276	160	16	its	its	PRON
cana-276	160	17	pattern	pattern	NOUN
cana-276	160	18	-	-	PUNCT
cana-276	160	19	capturing	capture	VERB
cana-276	160	20	and	and	CCONJ
cana-276	160	21	-representation	-representation	NOUN
cana-276	160	22	capabilities	capability	NOUN
cana-276	160	23	.	.	PUNCT
cana-276	161	1	as	as	ADP
cana-276	161	2	a	a	DET
cana-276	161	3	last	last	ADJ
cana-276	161	4	step	step	NOUN
cana-276	161	5	,	,	PUNCT
cana-276	161	6	the	the	DET
cana-276	161	7	system	system	NOUN
cana-276	161	8	generates	generate	VERB
cana-276	161	9	the	the	DET
cana-276	161	10	recognition	recognition	NOUN
cana-276	161	11	results	result	NOUN
cana-276	161	12	,	,	PUNCT
cana-276	161	13	which	which	PRON
cana-276	161	14	show	show	VERB
cana-276	161	15	the	the	DET
cana-276	161	16	outcome	outcome	NOUN
cana-276	161	17	of	of	ADP
cana-276	161	18	the	the	DET
cana-276	161	19	pattern	pattern	NOUN
cana-276	161	20	recognition	recognition	NOUN
cana-276	161	21	process	process	NOUN
cana-276	161	22	.	.	PUNCT
cana-276	162	1	by	by	ADP
cana-276	162	2	utilizing	utilize	VERB
cana-276	162	3	its	its	PRON
cana-276	162	4	advanced	advanced	ADJ
cana-276	162	5	architecture	architecture	NOUN
cana-276	162	6	,	,	PUNCT
cana-276	162	7	ndann	ndann	NOUN
cana-276	162	8	enhances	enhance	VERB
cana-276	162	9	and	and	CCONJ
cana-276	162	10	optimizes	optimize	VERB
cana-276	162	11	these	these	DET
cana-276	162	12	results	result	NOUN
cana-276	162	13	,	,	PUNCT
cana-276	162	14	demonstrating	demonstrate	VERB
cana-276	162	15	its	its	PRON
cana-276	162	16	ability	ability	NOUN
cana-276	162	17	to	to	PART
cana-276	162	18	capture	capture	VERB
cana-276	162	19	and	and	CCONJ
cana-276	162	20	comprehend	comprehend	VERB
cana-276	162	21	subtle	subtle	ADJ
cana-276	162	22	patterns	pattern	NOUN
cana-276	162	23	in	in	ADP
cana-276	162	24	real	real	ADJ
cana-276	162	25	-	-	PUNCT
cana-276	162	26	world	world	NOUN
cana-276	162	27	information	information	NOUN
cana-276	162	28	.	.	PUNCT
cana-276	163	1	figure	figure	NOUN
cana-276	163	2	2	2	NUM
cana-276	163	3	shows	show	VERB
cana-276	163	4	how	how	SCONJ
cana-276	163	5	the	the	DET
cana-276	163	6	ndann	ndann	NOUN
cana-276	163	7	design	design	NOUN
cana-276	163	8	combines	combine	VERB
cana-276	163	9	different	different	ADJ
cana-276	163	10	parts	part	NOUN
cana-276	163	11	to	to	PART
cana-276	163	12	make	make	VERB
cana-276	163	13	a	a	DET
cana-276	163	14	formidable	formidable	ADJ
cana-276	163	15	adaptive	adaptive	ADJ
cana-276	163	16	pattern	pattern	NOUN
cana-276	163	17	recognition	recognition	NOUN
cana-276	163	18	system	system	NOUN
cana-276	163	19	.	.	PUNCT
cana-276	164	1	the	the	DET
cana-276	164	2	adaptive	adaptive	ADJ
cana-276	164	3	architecture	architecture	NOUN
cana-276	164	4	,	,	PUNCT
cana-276	164	5	explainability	explainability	NOUN
cana-276	164	6	module	module	NOUN
cana-276	164	7	,	,	PUNCT
cana-276	164	8	ensemble	ensemble	ADJ
cana-276	164	9	integrating	integrating	NOUN
cana-276	164	10	,	,	PUNCT
cana-276	164	11	regularization	regularization	NOUN
cana-276	164	12	for	for	ADP
cana-276	164	13	stability	stability	NOUN
cana-276	164	14	,	,	PUNCT
cana-276	164	15	and	and	CCONJ
cana-276	164	16	hybrid	hybrid	ADJ
cana-276	164	17	learning	learning	NOUN
cana-276	164	18	algorithm	algorithm	NOUN
cana-276	164	19	all	all	PRON
cana-276	164	20	work	work	VERB
cana-276	164	21	together	together	ADV
cana-276	164	22	to	to	PART
cana-276	164	23	improve	improve	VERB
cana-276	164	24	pattern	pattern	NOUN
cana-276	164	25	recognition	recognition	NOUN
cana-276	164	26	performance	performance	NOUN
cana-276	164	27	in	in	ADP
cana-276	164	28	various	various	ADJ
cana-276	164	29	domains	domain	NOUN
cana-276	164	30	by	by	ADP
cana-276	164	31	overcoming	overcome	VERB
cana-276	164	32	the	the	DET
cana-276	164	33	difficulties	difficulty	NOUN
cana-276	164	34	of	of	ADP
cana-276	164	35	nonlinear	nonlinear	ADJ
cana-276	164	36	dynamics	dynamic	NOUN
cana-276	164	37	.	.	PUNCT
cana-276	165	1	𝐹1	𝐹1	PROPN
cana-276	166	1	=	=	PROPN
cana-276	166	2	∫	∫	PROPN
cana-276	166	3	𝑓−(𝛽.𝑦2).tan(𝛾.𝑦).𝑄(𝑇𝑟𝑢𝑒	𝑓−(𝛽.𝑦2).tan(𝛾.𝑦).𝑄(𝑇𝑟𝑢𝑒	PROPN
cana-276	166	4	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	VERB
cana-276	166	5	∞	∞	PROPN
cana-276	166	6	−∞	−∞	ADP
cana-276	166	7	√∫	√∫	ADJ
cana-276	166	8	𝑓−(𝛿.𝑦2).cot(𝛼.𝑦).𝑄(𝐹𝑎𝑙𝑠𝑒	𝑓−(𝛿.𝑦2).cot(𝛼.𝑦).𝑄(𝐹𝑎𝑙𝑠𝑒	NOUN
cana-276	166	9	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	VERB
cana-276	166	10	∞	∞	PROPN
cana-276	166	11	−∞	−∞	X
cana-276	166	12	+	+	PUNCT
cana-276	166	13	√∫	√∫	ADJ
cana-276	166	14	𝑓−(𝜖.𝑦2).𝑄(𝐹𝑎𝑙𝑠𝑒	𝑓−(𝜖.𝑦2).𝑄(𝐹𝑎𝑙𝑠𝑒	NOUN
cana-276	166	15	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦)𝑑𝑦	VERB
cana-276	166	16	∞	∞	PROPN
cana-276	166	17	−∞	−∞	ADP
cana-276	166	18	3	3	NUM
cana-276	166	19	+	+	NOUN
cana-276	166	20	𝜗	𝜗	NOUN
cana-276	166	21	(	(	PUNCT
cana-276	166	22	4	4	NUM
cana-276	166	23	)	)	PUNCT
cana-276	166	24	the	the	DET
cana-276	166	25	equation	equation	NOUN
cana-276	166	26	(	(	PUNCT
cana-276	166	27	4	4	X
cana-276	166	28	)	)	PUNCT
cana-276	166	29	is	be	AUX
cana-276	166	30	an	an	DET
cana-276	166	31	nd	nd	NOUN
cana-276	166	32	-	-	PUNCT
cana-276	166	33	ann	ann	PROPN
cana-276	166	34	(	(	PUNCT
cana-276	166	35	non	non	ADJ
cana-276	166	36	-	-	ADJ
cana-276	166	37	deterministic	deterministic	ADJ
cana-276	166	38	artificial	artificial	ADJ
cana-276	166	39	neural	neural	ADJ
cana-276	166	40	network	network	NOUN
cana-276	166	41	)	)	PUNCT
cana-276	166	42	framework	framework	NOUN
cana-276	166	43	-	-	PUNCT
cana-276	166	44	specific	specific	ADJ
cana-276	166	45	complicated	complicated	ADJ
cana-276	166	46	integral	integral	ADJ
cana-276	166	47	equation	equation	NOUN
cana-276	166	48	that	that	PRON
cana-276	166	49	represents	represent	VERB
cana-276	166	50	the	the	DET
cana-276	166	51	f1	f1	NOUN
cana-276	166	52	-	-	PUNCT
cana-276	166	53	score	score	NOUN
cana-276	166	54	.	.	PUNCT
cana-276	167	1	the	the	DET
cana-276	167	2	integrals	integral	NOUN
cana-276	167	3	cover	cover	VERB
cana-276	167	4	the	the	DET
cana-276	167	5	whole	whole	ADJ
cana-276	167	6	real	real	ADJ
cana-276	167	7	line	line	NOUN
cana-276	167	8	,	,	PUNCT
cana-276	167	9	and	and	CCONJ
cana-276	167	10	the	the	DET
cana-276	167	11	variable	variable	ADJ
cana-276	167	12	𝑦	𝑦	NOUN
cana-276	167	13	stands	stand	VERB
cana-276	167	14	for	for	ADP
cana-276	167	15	the	the	DET
cana-276	167	16	input	input	NOUN
cana-276	167	17	space	space	NOUN
cana-276	167	18	.	.	PUNCT
cana-276	168	1	the	the	DET
cana-276	168	2	terms	term	NOUN
cana-276	168	3	related	relate	VERB
cana-276	168	4	to	to	ADP
cana-276	168	5	gaussian	gaussian	ADJ
cana-276	168	6	functions	function	NOUN
cana-276	168	7	,	,	PUNCT
cana-276	168	8	which	which	PRON
cana-276	168	9	impact	impact	VERB
cana-276	168	10	the	the	DET
cana-276	168	11	distribution	distribution	NOUN
cana-276	168	12	of	of	ADP
cana-276	168	13	false	false	ADJ
cana-276	168	14	positives	positive	NOUN
cana-276	168	15	&	&	CCONJ
cana-276	168	16	false	false	ADJ
cana-276	168	17	negatives	negative	NOUN
cana-276	168	18	,	,	PUNCT
cana-276	168	19	include	include	VERB
cana-276	168	20	𝛿	𝛿	ADJ
cana-276	168	21	,	,	PUNCT
cana-276	168	22	𝛼	𝛼	ADJ
cana-276	168	23	,	,	PUNCT
cana-276	168	24	and	and	CCONJ
cana-276	168	25	𝜖.	𝜖.	VERB
cana-276	168	26	the	the	DET
cana-276	168	27	hyperbolic	hyperbolic	PROPN
cana-276	168	28	&	&	CCONJ
cana-276	168	29	tangent	tangent	PROPN
cana-276	168	30	functions	function	NOUN
cana-276	168	31	are	be	AUX
cana-276	168	32	connected	connect	VERB
cana-276	168	33	to	to	ADP
cana-276	168	34	the	the	DET
cana-276	168	35	parameters	parameter	NOUN
cana-276	168	36	𝛽	𝛽	PROPN
cana-276	168	37	and	and	CCONJ
cana-276	168	38	𝛾	𝛾	PROPN
cana-276	168	39	,	,	PUNCT
cana-276	168	40	which	which	PRON
cana-276	168	41	help	help	VERB
cana-276	168	42	in	in	ADP
cana-276	168	43	determining	determine	VERB
cana-276	168	44	the	the	DET
cana-276	168	45	genuine	genuine	ADJ
cana-276	168	46	positives	positive	NOUN
cana-276	168	47	.	.	PUNCT
cana-276	169	1	parameters	parameter	NOUN
cana-276	169	2	such	such	ADJ
cana-276	169	3	as	as	ADP
cana-276	169	4	𝛽	𝛽	PROPN
cana-276	169	5	,	,	PUNCT
cana-276	169	6	𝛾	𝛾	PROPN
cana-276	169	7	,	,	PUNCT
cana-276	169	8	𝛿	𝛿	ADJ
cana-276	169	9	,	,	PUNCT
cana-276	169	10	𝛼	𝛼	PROPN
cana-276	169	11	,	,	PUNCT
cana-276	169	12	𝜖	𝜖	PROPN
cana-276	169	13	,	,	PUNCT
cana-276	169	14	and	and	CCONJ
cana-276	169	15	𝜗	𝜗	NOUN
cana-276	169	16	can	can	AUX
cana-276	169	17	be	be	AUX
cana-276	169	18	adjusted	adjust	VERB
cana-276	169	19	to	to	PART
cana-276	169	20	make	make	VERB
cana-276	169	21	the	the	DET
cana-276	169	22	equation	equation	NOUN
cana-276	169	23	work	work	VERB
cana-276	169	24	better	well	ADV
cana-276	169	25	in	in	ADP
cana-276	169	26	certain	certain	ADJ
cana-276	169	27	situations	situation	NOUN
cana-276	169	28	.	.	PUNCT
cana-276	170	1	a	a	DET
cana-276	170	2	further	further	ADJ
cana-276	170	3	level	level	NOUN
cana-276	170	4	of	of	ADP
cana-276	170	5	complexity	complexity	NOUN
cana-276	170	6	is	be	AUX
cana-276	170	7	introduced	introduce	VERB
cana-276	170	8	to	to	ADP
cana-276	170	9	the	the	DET
cana-276	170	10	evaluation	evaluation	NOUN
cana-276	170	11	of	of	ADP
cana-276	170	12	true	true	ADJ
cana-276	170	13	positives	positive	NOUN
cana-276	170	14	&	&	CCONJ
cana-276	170	15	false	false	ADJ
cana-276	170	16	positives	positive	NOUN
cana-276	170	17	by	by	ADP
cana-276	170	18	the	the	DET
cana-276	170	19	cotangent	cotangent	PROPN
cana-276	170	20	&	&	CCONJ
cana-276	170	21	tangent	tangent	PROPN
cana-276	170	22	functions	function	NOUN
cana-276	170	23	,	,	PUNCT
cana-276	170	24	cot(𝛼.	cot(𝛼.	PROPN
cana-276	170	25	𝑦	𝑦	NOUN
cana-276	170	26	)	)	PUNCT
cana-276	170	27	and	and	CCONJ
cana-276	170	28	tan(𝛾.	tan(𝛾.	PROPN
cana-276	170	29	𝑦	𝑦	PROPN
cana-276	170	30	)	)	PUNCT
cana-276	170	31	,	,	PUNCT
cana-276	170	32	which	which	PRON
cana-276	170	33	bring	bring	VERB
cana-276	170	34	trigonometric	trigonometric	ADJ
cana-276	170	35	components	component	NOUN
cana-276	170	36	.	.	PUNCT
cana-276	171	1	the	the	DET
cana-276	171	2	input	input	NOUN
cana-276	171	3	𝑦	𝑦	NOUN
cana-276	171	4	determines	determine	VERB
cana-276	171	5	the	the	DET
cana-276	171	6	conditional	conditional	ADJ
cana-276	171	7	probabilities	probability	NOUN
cana-276	171	8	of	of	ADP
cana-276	171	9	false	false	ADJ
cana-276	171	10	positives	positive	NOUN
cana-276	171	11	𝑄(𝐹𝑎𝑙𝑠𝑒	𝑄(𝐹𝑎𝑙𝑠𝑒	VERB
cana-276	171	12	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠|𝑦	NOUN
cana-276	171	13	)	)	PUNCT
cana-276	171	14	and	and	CCONJ
cana-276	171	15	false	false	ADJ
cana-276	171	16	negatives	negative	NOUN
cana-276	171	17	𝑄(𝐹𝑎𝑙𝑠𝑒	𝑄(𝐹𝑎𝑙𝑠𝑒	VERB
cana-276	171	18	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦	𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠|𝑦	NOUN
cana-276	171	19	)	)	PUNCT
cana-276	171	20	.	.	PUNCT
cana-276	172	1	when	when	SCONJ
cana-276	172	2	applied	apply	VERB
cana-276	172	3	to	to	ADP
cana-276	172	4	the	the	DET
cana-276	172	5	nd	nd	NOUN
cana-276	172	6	-	-	PUNCT
cana-276	172	7	ann	ann	NOUN
cana-276	172	8	framework	framework	NOUN
cana-276	172	9	,	,	PUNCT
cana-276	172	10	the	the	DET
cana-276	172	11	equation	equation	NOUN
cana-276	172	12	(	(	PUNCT
cana-276	172	13	4	4	X
cana-276	172	14	)	)	PUNCT
cana-276	172	15	gives	give	VERB
cana-276	172	16	an	an	DET
cana-276	172	17	intricate	intricate	ADJ
cana-276	172	18	and	and	CCONJ
cana-276	172	19	complex	complex	ADJ
cana-276	172	20	evaluation	evaluation	NOUN
cana-276	172	21	of	of	ADP
cana-276	172	22	the	the	DET
cana-276	172	23	f1	f1	NOUN
cana-276	172	24	-	-	PUNCT
cana-276	172	25	score	score	NOUN
cana-276	172	26	by	by	ADP
cana-276	172	27	taking	take	VERB
cana-276	172	28	into	into	ADP
cana-276	172	29	account	account	NOUN
cana-276	172	30	all	all	DET
cana-276	172	31	the	the	DET
cana-276	172	32	variables	variable	NOUN
cana-276	172	33	that	that	PRON
cana-276	172	34	go	go	VERB
cana-276	172	35	into	into	ADP
cana-276	172	36	a	a	DET
cana-276	172	37	machine	machine	NOUN
cana-276	172	38	learning	learn	VERB
cana-276	172	39	model	model	NOUN
cana-276	172	40	's	's	PART
cana-276	172	41	recall	recall	NOUN
cana-276	172	42	-	-	PUNCT
cana-276	172	43	to	to	ADP
cana-276	172	44	-	-	PUNCT
cana-276	172	45	precision	precision	NOUN
cana-276	172	46	ratio	ratio	NOUN
cana-276	172	47	.	.	PUNCT
cana-276	173	1	𝑊𝑗(𝑢	𝑊𝑗(𝑢	PROPN
cana-276	173	2	+	+	CCONJ
cana-276	173	3	∆𝑢	∆𝑢	PROPN
cana-276	173	4	)	)	PUNCT
cana-276	173	5	=	=	SYM
cana-276	173	6	𝑊𝑗(𝑢	𝑊𝑗(𝑢	NOUN
cana-276	173	7	)	)	PUNCT
cana-276	174	1	+	+	CCONJ
cana-276	174	2	𝛽.	𝛽.	NOUN
cana-276	174	3	tanh	tanh	PROPN
cana-276	174	4	(	(	PUNCT
cana-276	174	5	𝛾.	𝛾.	NOUN
cana-276	174	6	𝑊𝑗(𝑢	𝑊𝑗(𝑢	NOUN
cana-276	174	7	)	)	PUNCT
cana-276	174	8	)	)	PUNCT
cana-276	175	1	+	+	CCONJ
cana-276	175	2	𝛿.	𝛿.	ADJ
cana-276	175	3	sin(𝑥𝑢	sin(𝑥𝑢	NOUN
cana-276	175	4	+	+	CCONJ
cana-276	175	5	𝜑	𝜑	NOUN
cana-276	175	6	)	)	PUNCT
cana-276	176	1	+	+	CCONJ
cana-276	176	2	𝜔.	𝜔.	X
cana-276	176	3	𝐽𝑗(𝑢	𝐽𝑗(𝑢	NOUN
cana-276	176	4	)	)	PUNCT
cana-276	176	5	(	(	PUNCT
cana-276	176	6	5	5	NUM
cana-276	176	7	)	)	PUNCT
cana-276	176	8	in	in	ADP
cana-276	176	9	an	an	DET
cana-276	176	10	nd	nd	NOUN
cana-276	176	11	-	-	PUNCT
cana-276	176	12	ann	ann	PROPN
cana-276	176	13	,	,	PUNCT
cana-276	176	14	the	the	DET
cana-276	176	15	equation	equation	NOUN
cana-276	176	16	(	(	PUNCT
cana-276	176	17	5	5	X
cana-276	176	18	)	)	PUNCT
cana-276	176	19	signifies	signify	VERB
cana-276	176	20	the	the	DET
cana-276	176	21	fluctuation	fluctuation	NOUN
cana-276	176	22	of	of	ADP
cana-276	176	23	a	a	DET
cana-276	176	24	spiking	spike	VERB
cana-276	176	25	neuron	neuron	NOUN
cana-276	176	26	's	's	PART
cana-276	176	27	membrane	membrane	NOUN
cana-276	176	28	potential	potential	NOUN
cana-276	176	29	.	.	PUNCT
cana-276	177	1	neuron	neuron	PROPN
cana-276	177	2	𝑗	𝑗	PRON
cana-276	177	3	membrane	membrane	NOUN
cana-276	177	4	potential	potential	NOUN
cana-276	177	5	at	at	ADP
cana-276	177	6	time	time	NOUN
cana-276	177	7	𝑢	𝑢	PART
cana-276	177	8	is	be	AUX
cana-276	177	9	represented	represent	VERB
cana-276	177	10	by	by	ADP
cana-276	177	11	𝑊𝑗(𝑢	𝑊𝑗(𝑢	PROPN
cana-276	177	12	)	)	PUNCT
cana-276	177	13	.	.	PUNCT
cana-276	178	1	the	the	DET
cana-276	178	2	nonlinearity	nonlinearity	NOUN
cana-276	178	3	's	's	PART
cana-276	178	4	inclination	inclination	NOUN
cana-276	178	5	is	be	AUX
cana-276	178	6	determined	determine	VERB
cana-276	178	7	by	by	ADP
cana-276	178	8	𝛾	𝛾	PROPN
cana-276	178	9	,	,	PUNCT
cana-276	178	10	which	which	PRON
cana-276	178	11	is	be	AUX
cana-276	178	12	a	a	DET
cana-276	178	13	scaling	scale	VERB
cana-276	178	14	factor	factor	NOUN
cana-276	178	15	that	that	PRON
cana-276	178	16	affects	affect	VERB
cana-276	178	17	the	the	DET
cana-276	178	18	effect	effect	NOUN
cana-276	178	19	of	of	ADP
cana-276	178	20	the	the	DET
cana-276	178	21	hyperbolic	hyperbolic	ADJ
cana-276	178	22	tangential	tangential	ADJ
cana-276	178	23	nonlinearity	nonlinearity	NOUN
cana-276	178	24	,	,	PUNCT
cana-276	178	25	which	which	PRON
cana-276	178	26	is	be	AUX
cana-276	178	27	provided	provide	VERB
cana-276	178	28	by	by	ADP
cana-276	178	29	tanh	tanh	PROPN
cana-276	178	30	(	(	PUNCT
cana-276	178	31	𝛾.	𝛾.	NOUN
cana-276	178	32	𝑊𝑗(𝑢	𝑊𝑗(𝑢	NOUN
cana-276	178	33	)	)	PUNCT
cana-276	178	34	)	)	PUNCT
cana-276	178	35	.	.	PUNCT
cana-276	179	1	a	a	DET
cana-276	179	2	sinusoidal	sinusoidal	ADJ
cana-276	179	3	component	component	NOUN
cana-276	179	4	is	be	AUX
cana-276	179	5	added	add	VERB
cana-276	179	6	to	to	ADP
cana-276	179	7	the	the	DET
cana-276	179	8	potential	potential	NOUN
cana-276	179	9	of	of	ADP
cana-276	179	10	the	the	DET
cana-276	179	11	membrane	membrane	NOUN
cana-276	179	12	by	by	ADP
cana-276	179	13	the	the	DET
cana-276	179	14	second	second	ADJ
cana-276	179	15	term	term	NOUN
cana-276	179	16	,	,	PUNCT
cana-276	179	17	𝛿.	𝛿.	VERB
cana-276	179	18	sin(𝑥𝑢	sin(𝑥𝑢	NOUN
cana-276	180	1	+	+	CCONJ
cana-276	180	2	𝜑	𝜑	NOUN
cana-276	180	3	)	)	PUNCT
cana-276	180	4	,	,	PUNCT
cana-276	180	5	where	where	SCONJ
cana-276	180	6	𝛿	𝛿	ADJ
cana-276	180	7	is	be	AUX
cana-276	180	8	the	the	DET
cana-276	180	9	frequency	frequency	NOUN
cana-276	180	10	,	,	PUNCT
cana-276	180	11	𝑥	𝑥	PROPN
cana-276	180	12	is	be	AUX
cana-276	180	13	the	the	DET
cana-276	180	14	amplitude	amplitude	NOUN
cana-276	180	15	,	,	PUNCT
cana-276	180	16	and	and	CCONJ
cana-276	180	17	𝜑	𝜑	PROPN
cana-276	180	18	is	be	AUX
cana-276	180	19	the	the	DET
cana-276	180	20	phase	phase	NOUN
cana-276	180	21	shift	shift	NOUN
cana-276	180	22	.	.	PUNCT
cana-276	181	1	the	the	DET
cana-276	181	2	last	last	ADJ
cana-276	181	3	element	element	NOUN
cana-276	181	4	,	,	PUNCT
cana-276	181	5	𝜔.	𝜔.	ADJ
cana-276	181	6	𝐽𝑗(𝑢	𝐽𝑗(𝑢	NOUN
cana-276	181	7	)	)	PUNCT
cana-276	181	8	,	,	PUNCT
cana-276	181	9	takes	take	VERB
cana-276	181	10	into	into	ADP
cana-276	181	11	consideration	consideration	NOUN
cana-276	181	12	the	the	DET
cana-276	181	13	impact	impact	NOUN
cana-276	181	14	of	of	ADP
cana-276	181	15	the	the	DET
cana-276	181	16	input	input	NOUN
cana-276	181	17	current	current	ADJ
cana-276	181	18	𝐽𝑗(𝑢	𝐽𝑗(𝑢	NOUN
cana-276	181	19	)	)	PUNCT
cana-276	181	20	on	on	ADP
cana-276	181	21	the	the	DET
cana-276	181	22	potential	potential	NOUN
cana-276	181	23	of	of	ADP
cana-276	181	24	the	the	DET
cana-276	181	25	membrane	membrane	NOUN
cana-276	181	26	,	,	PUNCT
cana-276	181	27	with	with	ADP
cana-276	181	28	𝜔	𝜔	AUX
cana-276	181	29	standing	stand	VERB
cana-276	181	30	for	for	ADP
cana-276	181	31	the	the	DET
cana-276	181	32	intensity	intensity	NOUN
cana-276	181	33	of	of	ADP
cana-276	181	34	this	this	DET
cana-276	181	35	impact	impact	NOUN
cana-276	181	36	.	.	PUNCT
cana-276	182	1	all	all	PRON
cana-276	182	2	of	of	ADP
cana-276	182	3	these	these	DET
cana-276	182	4	parts	part	NOUN
cana-276	182	5	work	work	VERB
cana-276	182	6	together	together	ADV
cana-276	182	7	to	to	PART
cana-276	182	8	provide	provide	VERB
cana-276	182	9	a	a	DET
cana-276	182	10	detailed	detailed	ADJ
cana-276	182	11	model	model	NOUN
cana-276	182	12	of	of	ADP
cana-276	182	13	nd	nd	NOUN
cana-276	182	14	-	-	PUNCT
cana-276	182	15	ann	ann	ADJ
cana-276	182	16	neuronal	neuronal	ADJ
cana-276	182	17	function	function	NOUN
cana-276	182	18	,	,	PUNCT
cana-276	182	19	one	one	NOUN
cana-276	182	20	that	that	PRON
cana-276	182	21	includes	include	VERB
cana-276	182	22	nonlinearities	nonlinearitie	NOUN
cana-276	182	23	&	&	CCONJ
cana-276	182	24	adaptive	adaptive	ADJ
cana-276	182	25	integration	integration	NOUN
cana-276	182	26	driven	drive	VERB
cana-276	182	27	by	by	ADP
cana-276	182	28	externally	externally	ADV
cana-276	182	29	generated	generate	VERB
cana-276	182	30	currents	current	NOUN
cana-276	182	31	.	.	PUNCT
cana-276	183	1	an	an	DET
cana-276	183	2	artificial	artificial	ADJ
cana-276	183	3	communications	communication	NOUN
cana-276	183	4	on	on	ADP
cana-276	183	5	applied	apply	VERB
cana-276	183	6	nonlinear	nonlinear	ADJ
cana-276	183	7	analysis	analysis	NOUN
cana-276	183	8	issn	issn	NOUN
cana-276	183	9	:	:	PUNCT
cana-276	183	10	1074	1074	NUM
cana-276	183	11	-	-	PUNCT
cana-276	183	12	133x	133x	NUM
cana-276	183	13	vol	vol	NOUN
cana-276	183	14	30	30	NUM
cana-276	183	15	no	no	NOUN
cana-276	183	16	.	.	NOUN
cana-276	183	17	3	3	NUM
cana-276	183	18	(	(	PUNCT
cana-276	183	19	2023	2023	NUM
cana-276	183	20	)	)	PUNCT
cana-276	183	21	24	24	NUM
cana-276	183	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	183	23	neural	neural	ADJ
cana-276	183	24	network	network	NOUN
cana-276	183	25	can	can	AUX
cana-276	183	26	accurately	accurately	ADV
cana-276	183	27	portray	portray	VERB
cana-276	183	28	a	a	DET
cana-276	183	29	neuron	neuron	NOUN
cana-276	183	30	's	's	PART
cana-276	183	31	behaviour	behaviour	NOUN
cana-276	183	32	with	with	ADP
cana-276	183	33	finer	fine	ADJ
cana-276	183	34	details	detail	NOUN
cana-276	183	35	when	when	SCONJ
cana-276	183	36	the	the	DET
cana-276	183	37	𝛽	𝛽	PROPN
cana-276	183	38	,	,	PUNCT
cana-276	183	39	𝛾	𝛾	PROPN
cana-276	183	40	,	,	PUNCT
cana-276	183	41	𝛿	𝛿	ADJ
cana-276	183	42	,	,	PUNCT
cana-276	183	43	𝜑	𝜑	PROPN
cana-276	183	44	,	,	PUNCT
cana-276	183	45	𝜔	𝜔	PROPN
cana-276	183	46	and	and	CCONJ
cana-276	183	47	𝛼	𝛼	NOUN
cana-276	183	48	are	be	AUX
cana-276	183	49	used	use	VERB
cana-276	183	50	.	.	PUNCT
cana-276	184	1	𝜔𝑢	𝜔𝑢	VERB
cana-276	184	2	=	=	NOUN
cana-276	184	3	𝜔0	𝜔0	PROPN
cana-276	184	4	(	(	PUNCT
cana-276	184	5	1+𝛽.𝑢	1+𝛽.𝑢	NUM
cana-276	184	6	)	)	PUNCT
cana-276	184	7	+	+	CCONJ
cana-276	184	8	𝛾.	𝛾.	ADJ
cana-276	184	9	sin(𝛿.	sin(𝛿.	PROPN
cana-276	184	10	𝑢	𝑢	NOUN
cana-276	184	11	+	+	X
cana-276	184	12	𝜑	𝜑	NOUN
cana-276	184	13	)	)	PUNCT
cana-276	185	1	+	+	NUM
cana-276	185	2	𝛼	𝛼	PRON
cana-276	185	3	√1+𝜖.𝑢	√1+𝜖.𝑢	NOUN
cana-276	185	4	(	(	PUNCT
cana-276	185	5	6	6	NUM
cana-276	185	6	)	)	PUNCT
cana-276	185	7	in	in	ADP
cana-276	185	8	nd	nd	NOUN
cana-276	185	9	-	-	PUNCT
cana-276	185	10	ann	ann	PROPN
cana-276	185	11	using	use	VERB
cana-276	185	12	a	a	DET
cana-276	185	13	chaotic	chaotic	ADJ
cana-276	185	14	attractor	attractor	NOUN
cana-276	185	15	,	,	PUNCT
cana-276	185	16	the	the	DET
cana-276	185	17	equation	equation	NOUN
cana-276	185	18	(	(	PUNCT
cana-276	185	19	6	6	NUM
cana-276	185	20	)	)	PUNCT
cana-276	185	21	specifies	specify	VERB
cana-276	185	22	a	a	DET
cana-276	185	23	rate	rate	NOUN
cana-276	185	24	of	of	ADP
cana-276	185	25	adaptive	adaptive	ADJ
cana-276	185	26	learning	learning	NOUN
cana-276	185	27	𝜔𝑢.	𝜔𝑢.	VERB
cana-276	185	28	the	the	DET
cana-276	185	29	𝜔0	𝜔0	NOUN
cana-276	185	30	(	(	PUNCT
cana-276	185	31	1+𝛽.𝑢	1+𝛽.𝑢	NUM
cana-276	185	32	)	)	PUNCT
cana-276	185	33	decays	decay	NOUN
cana-276	185	34	with	with	ADP
cana-276	185	35	time	time	NOUN
cana-276	185	36	,	,	PUNCT
cana-276	185	37	𝛾.	𝛾.	ADJ
cana-276	185	38	sin(𝛿.	sin(𝛿.	PROPN
cana-276	185	39	𝑢	𝑢	PROPN
cana-276	185	40	+	+	X
cana-276	185	41	𝜑	𝜑	NOUN
cana-276	185	42	)	)	PUNCT
cana-276	185	43	is	be	AUX
cana-276	185	44	chaotic	chaotic	ADJ
cana-276	185	45	,	,	PUNCT
cana-276	185	46	and	and	CCONJ
cana-276	185	47	𝛼	𝛼	PROPN
cana-276	185	48	√1+𝜖.𝑢	√1+𝜖.𝑢	PROPN
cana-276	185	49	is	be	AUX
cana-276	185	50	a	a	DET
cana-276	185	51	chaotic	chaotic	ADJ
cana-276	185	52	attractor	attractor	NOUN
cana-276	185	53	that	that	PRON
cana-276	185	54	decays	decay	VERB
cana-276	185	55	slowly	slowly	ADV
cana-276	185	56	.	.	PUNCT
cana-276	186	1	a	a	DET
cana-276	186	2	dynamic	dynamic	ADJ
cana-276	186	3	and	and	CCONJ
cana-276	186	4	intricate	intricate	ADJ
cana-276	186	5	learning	learning	NOUN
cana-276	186	6	rate	rate	NOUN
cana-276	186	7	landscape	landscape	NOUN
cana-276	186	8	is	be	AUX
cana-276	186	9	produced	produce	VERB
cana-276	186	10	by	by	ADP
cana-276	186	11	the	the	DET
cana-276	186	12	interplay	interplay	NOUN
cana-276	186	13	of	of	ADP
cana-276	186	14	these	these	DET
cana-276	186	15	components	component	NOUN
cana-276	186	16	.	.	PUNCT
cana-276	187	1	figure	figure	VERB
cana-276	187	2	3	3	NUM
cana-276	187	3	:	:	PUNCT
cana-276	187	4	dynamic	dynamic	ADJ
cana-276	187	5	nonlinearity	nonlinearity	NOUN
cana-276	187	6	in	in	ADP
cana-276	187	7	pattern	pattern	NOUN
cana-276	187	8	recognition	recognition	NOUN
cana-276	187	9	neural	neural	ADJ
cana-276	187	10	networks	network	NOUN
cana-276	187	11	figure	figure	VERB
cana-276	187	12	3	3	NUM
cana-276	187	13	is	be	AUX
cana-276	187	14	an	an	DET
cana-276	187	15	all	all	ADV
cana-276	187	16	-	-	PUNCT
cana-276	187	17	inclusive	inclusive	ADJ
cana-276	187	18	representation	representation	NOUN
cana-276	187	19	of	of	ADP
cana-276	187	20	the	the	DET
cana-276	187	21	main	main	ADJ
cana-276	187	22	parts	part	NOUN
cana-276	187	23	and	and	CCONJ
cana-276	187	24	steps	step	NOUN
cana-276	187	25	of	of	ADP
cana-276	187	26	using	use	VERB
cana-276	187	27	neural	neural	ADJ
cana-276	187	28	networks	network	NOUN
cana-276	187	29	'	'	PART
cana-276	187	30	nonlinear	nonlinear	ADJ
cana-276	187	31	dynamics	dynamic	NOUN
cana-276	187	32	for	for	ADP
cana-276	187	33	comprehensive	comprehensive	ADJ
cana-276	187	34	pattern	pattern	NOUN
cana-276	187	35	recognition	recognition	NOUN
cana-276	187	36	.	.	PUNCT
cana-276	188	1	in	in	ADP
cana-276	188	2	particular	particular	ADJ
cana-276	188	3	,	,	PUNCT
cana-276	188	4	when	when	SCONJ
cana-276	188	5	dealing	deal	VERB
cana-276	188	6	with	with	ADP
cana-276	188	7	complicated	complicated	ADJ
cana-276	188	8	,	,	PUNCT
cana-276	188	9	nonlinear	nonlinear	ADJ
cana-276	188	10	patterns	pattern	NOUN
cana-276	188	11	found	find	VERB
cana-276	188	12	in	in	ADP
cana-276	188	13	real	real	ADJ
cana-276	188	14	-	-	PUNCT
cana-276	188	15	world	world	NOUN
cana-276	188	16	data	datum	NOUN
cana-276	188	17	,	,	PUNCT
cana-276	188	18	the	the	DET
cana-276	188	19	figure	figure	NOUN
cana-276	188	20	3	3	NUM
cana-276	188	21	presents	present	VERB
cana-276	188	22	the	the	DET
cana-276	188	23	essence	essence	NOUN
cana-276	188	24	of	of	ADP
cana-276	188	25	suggested	suggest	VERB
cana-276	188	26	method	method	NOUN
cana-276	188	27	,	,	PUNCT
cana-276	188	28	nonlinear	nonlinear	ADJ
cana-276	188	29	dynamics	dynamic	NOUN
cana-276	188	30	of	of	ADP
cana-276	188	31	neural	neural	ADJ
cana-276	188	32	networks	network	NOUN
cana-276	188	33	(	(	PUNCT
cana-276	188	34	ndann	ndann	NOUN
cana-276	188	35	)	)	PUNCT
cana-276	188	36	,	,	PUNCT
cana-276	188	37	along	along	ADP
cana-276	188	38	with	with	ADP
cana-276	188	39	its	its	PRON
cana-276	188	40	influence	influence	NOUN
cana-276	188	41	on	on	ADP
cana-276	188	42	enhancing	enhance	VERB
cana-276	188	43	the	the	DET
cana-276	188	44	performance	performance	NOUN
cana-276	188	45	,	,	PUNCT
cana-276	188	46	interpretability	interpretability	NOUN
cana-276	188	47	,	,	PUNCT
cana-276	188	48	and	and	CCONJ
cana-276	188	49	adaptability	adaptability	NOUN
cana-276	188	50	of	of	ADP
cana-276	188	51	pattern	pattern	NOUN
cana-276	188	52	recognition	recognition	NOUN
cana-276	188	53	systems	system	NOUN
cana-276	188	54	.	.	PUNCT
cana-276	189	1	nonlinear	nonlinear	ADJ
cana-276	189	2	dynamics	dynamic	NOUN
cana-276	189	3	of	of	ADP
cana-276	189	4	neural	neural	ADJ
cana-276	189	5	networks	network	NOUN
cana-276	189	6	is	be	AUX
cana-276	189	7	the	the	DET
cana-276	189	8	central	central	ADJ
cana-276	189	9	idea	idea	NOUN
cana-276	189	10	depicted	depict	VERB
cana-276	189	11	as	as	ADP
cana-276	189	12	a	a	DET
cana-276	189	13	block	block	NOUN
cana-276	189	14	in	in	ADP
cana-276	189	15	figure	figure	NOUN
cana-276	189	16	3	3	NUM
cana-276	189	17	.	.	X
cana-276	190	1	for	for	ADP
cana-276	190	2	complex	complex	ADJ
cana-276	190	3	patterns	pattern	NOUN
cana-276	190	4	that	that	PRON
cana-276	190	5	are	be	AUX
cana-276	190	6	difficult	difficult	ADJ
cana-276	190	7	for	for	SCONJ
cana-276	190	8	conventional	conventional	ADJ
cana-276	190	9	neural	neural	ADJ
cana-276	190	10	networks	network	NOUN
cana-276	190	11	to	to	PART
cana-276	190	12	understand	understand	VERB
cana-276	190	13	,	,	PUNCT
cana-276	190	14	ndann	ndann	PROPN
cana-276	190	15	provides	provide	VERB
cana-276	190	16	a	a	DET
cana-276	190	17	solid	solid	ADJ
cana-276	190	18	basis	basis	NOUN
cana-276	190	19	.	.	PUNCT
cana-276	191	1	a	a	DET
cana-276	191	2	new	new	ADJ
cana-276	191	3	world	world	NOUN
cana-276	191	4	of	of	ADP
cana-276	191	5	potential	potential	NOUN
cana-276	191	6	in	in	ADP
cana-276	191	7	pattern	pattern	NOUN
cana-276	191	8	recognition	recognition	NOUN
cana-276	191	9	technologies	technology	NOUN
cana-276	191	10	is	be	AUX
cana-276	191	11	unlocked	unlock	VERB
cana-276	191	12	by	by	ADP
cana-276	191	13	ndann	ndann	PROPN
cana-276	191	14	as	as	SCONJ
cana-276	191	15	it	it	PRON
cana-276	191	16	explores	explore	VERB
cana-276	191	17	the	the	DET
cana-276	191	18	complex	complex	ADJ
cana-276	191	19	interaction	interaction	NOUN
cana-276	191	20	of	of	ADP
cana-276	191	21	nonlinear	nonlinear	ADJ
cana-276	191	22	dynamics	dynamic	NOUN
cana-276	191	23	in	in	ADP
cana-276	191	24	neural	neural	ADJ
cana-276	191	25	networks	network	NOUN
cana-276	191	26	.	.	PUNCT
cana-276	192	1	important	important	ADJ
cana-276	192	2	performance	performance	NOUN
cana-276	192	3	indicators	indicator	NOUN
cana-276	192	4	that	that	PRON
cana-276	192	5	surround	surround	VERB
cana-276	192	6	ndann	ndann	NOUN
cana-276	192	7	and	and	CCONJ
cana-276	192	8	are	be	AUX
cana-276	192	9	critical	critical	ADJ
cana-276	192	10	for	for	ADP
cana-276	192	11	determining	determine	VERB
cana-276	192	12	the	the	DET
cana-276	192	13	efficacy	efficacy	NOUN
cana-276	192	14	of	of	ADP
cana-276	192	15	the	the	DET
cana-276	192	16	proposed	propose	VERB
cana-276	192	17	method	method	NOUN
cana-276	192	18	surround	surround	VERB
cana-276	192	19	it	it	PRON
cana-276	192	20	.	.	PUNCT
cana-276	193	1	important	important	ADJ
cana-276	193	2	metrics	metric	NOUN
cana-276	193	3	that	that	PRON
cana-276	193	4	are	be	AUX
cana-276	193	5	evaluated	evaluate	VERB
cana-276	193	6	extensively	extensively	ADV
cana-276	193	7	across	across	ADP
cana-276	193	8	different	different	ADJ
cana-276	193	9	datasets	dataset	NOUN
cana-276	193	10	are	be	AUX
cana-276	193	11	precision	precision	NOUN
cana-276	193	12	,	,	PUNCT
cana-276	193	13	accuracy	accuracy	NOUN
cana-276	193	14	,	,	PUNCT
cana-276	193	15	recall	recall	NOUN
cana-276	193	16	,	,	PUNCT
cana-276	193	17	&	&	CCONJ
cana-276	193	18	f1	f1	PROPN
cana-276	193	19	score	score	NOUN
cana-276	193	20	.	.	PUNCT
cana-276	194	1	these	these	DET
cana-276	194	2	indicators	indicator	NOUN
cana-276	194	3	may	may	AUX
cana-276	194	4	be	be	AUX
cana-276	194	5	used	use	VERB
cana-276	194	6	to	to	PART
cana-276	194	7	evaluate	evaluate	VERB
cana-276	194	8	how	how	SCONJ
cana-276	194	9	well	well	ADV
cana-276	194	10	ndann	ndann	INTJ
cana-276	194	11	handles	handle	VERB
cana-276	194	12	complicated	complicated	ADJ
cana-276	194	13	patterns	pattern	NOUN
cana-276	194	14	and	and	CCONJ
cana-276	194	15	how	how	SCONJ
cana-276	194	16	reliable	reliable	ADJ
cana-276	194	17	it	it	PRON
cana-276	194	18	is	be	AUX
cana-276	194	19	.	.	PUNCT
cana-276	195	1	the	the	DET
cana-276	195	2	simulation	simulation	NOUN
cana-276	195	3	analyses	analyse	VERB
cana-276	195	4	section	section	NOUN
cana-276	195	5	,	,	PUNCT
cana-276	195	6	which	which	PRON
cana-276	195	7	displays	display	VERB
cana-276	195	8	the	the	DET
cana-276	195	9	thorough	thorough	ADJ
cana-276	195	10	evaluation	evaluation	NOUN
cana-276	195	11	procedure	procedure	NOUN
cana-276	195	12	used	use	VERB
cana-276	195	13	to	to	PART
cana-276	195	14	confirm	confirm	VERB
cana-276	195	15	ndann	ndann	PROPN
cana-276	195	16	's	's	PART
cana-276	195	17	effectiveness	effectiveness	NOUN
cana-276	195	18	,	,	PUNCT
cana-276	195	19	is	be	AUX
cana-276	195	20	adjacent	adjacent	ADJ
cana-276	195	21	to	to	ADP
cana-276	195	22	the	the	DET
cana-276	195	23	effectiveness	effectiveness	NOUN
cana-276	195	24	indicators	indicator	NOUN
cana-276	195	25	.	.	PUNCT
cana-276	196	1	researchers	researcher	NOUN
cana-276	196	2	validate	validate	VERB
cana-276	196	3	that	that	SCONJ
cana-276	196	4	ndann	ndann	PROPN
cana-276	196	5	beats	beat	VERB
cana-276	196	6	conventional	conventional	ADJ
cana-276	196	7	models	model	NOUN
cana-276	196	8	on	on	ADP
cana-276	196	9	all	all	DET
cana-276	196	10	metrics	metric	NOUN
cana-276	196	11	(	(	PUNCT
cana-276	196	12	precision	precision	NOUN
cana-276	196	13	,	,	PUNCT
cana-276	196	14	accuracy	accuracy	NOUN
cana-276	196	15	,	,	PUNCT
cana-276	196	16	recall	recall	NOUN
cana-276	196	17	,	,	PUNCT
cana-276	196	18	&	&	CCONJ
cana-276	196	19	f1	f1	PROPN
cana-276	196	20	score	score	NOUN
cana-276	196	21	)	)	PUNCT
cana-276	196	22	by	by	ADP
cana-276	196	23	conducting	conduct	VERB
cana-276	196	24	thorough	thorough	ADJ
cana-276	196	25	simulation	simulation	NOUN
cana-276	196	26	studies	study	NOUN
cana-276	196	27	on	on	ADP
cana-276	196	28	a	a	DET
cana-276	196	29	variety	variety	NOUN
cana-276	196	30	of	of	ADP
cana-276	196	31	datasets	dataset	NOUN
cana-276	196	32	.	.	PUNCT
cana-276	197	1	this	this	DET
cana-276	197	2	part	part	NOUN
cana-276	197	3	is	be	AUX
cana-276	197	4	essential	essential	ADJ
cana-276	197	5	for	for	ADP
cana-276	197	6	showing	show	VERB
cana-276	197	7	that	that	SCONJ
cana-276	197	8	ndann	ndann	PROPN
cana-276	197	9	is	be	AUX
cana-276	197	10	better	well	ADJ
cana-276	197	11	at	at	ADP
cana-276	197	12	dealing	deal	VERB
cana-276	197	13	with	with	ADP
cana-276	197	14	nonlinear	nonlinear	ADJ
cana-276	197	15	behaviour	behaviour	NOUN
cana-276	197	16	in	in	ADP
cana-276	197	17	pattern	pattern	NOUN
cana-276	197	18	recognition	recognition	NOUN
cana-276	197	19	and	and	CCONJ
cana-276	197	20	that	that	SCONJ
cana-276	197	21	it	it	PRON
cana-276	197	22	can	can	AUX
cana-276	197	23	be	be	AUX
cana-276	197	24	used	use	VERB
cana-276	197	25	in	in	ADP
cana-276	197	26	the	the	DET
cana-276	197	27	real	real	ADJ
cana-276	197	28	world	world	NOUN
cana-276	197	29	.	.	PUNCT
cana-276	198	1	figure	figure	VERB
cana-276	198	2	3	3	NUM
cana-276	198	3	covers	cover	VERB
cana-276	198	4	the	the	DET
cana-276	198	5	more	more	ADV
cana-276	198	6	general	general	ADJ
cana-276	198	7	effects	effect	NOUN
cana-276	198	8	of	of	ADP
cana-276	198	9	ndann	ndann	NOUN
cana-276	198	10	's	's	PART
cana-276	198	11	work	work	NOUN
cana-276	198	12	on	on	ADP
cana-276	198	13	pattern	pattern	NOUN
cana-276	198	14	recognition	recognition	NOUN
cana-276	198	15	.	.	PUNCT
cana-276	199	1	"	"	PUNCT
cana-276	199	2	future	future	ADJ
cana-276	199	3	development	development	NOUN
cana-276	199	4	in	in	ADP
cana-276	199	5	pattern	pattern	NOUN
cana-276	199	6	recognition	recognition	NOUN
cana-276	199	7	"	"	PUNCT
cana-276	199	8	indicates	indicate	VERB
cana-276	199	9	,	,	PUNCT
cana-276	199	10	this	this	DET
cana-276	199	11	approach	approach	NOUN
cana-276	199	12	has	have	VERB
cana-276	199	13	the	the	DET
cana-276	199	14	potential	potential	NOUN
cana-276	199	15	to	to	PART
cana-276	199	16	dramatically	dramatically	ADV
cana-276	199	17	alter	alter	VERB
cana-276	199	18	the	the	DET
cana-276	199	19	field	field	NOUN
cana-276	199	20	.	.	PUNCT
cana-276	200	1	the	the	DET
cana-276	200	2	use	use	NOUN
cana-276	200	3	of	of	ADP
cana-276	200	4	ndann	ndann	PROPN
cana-276	200	5	opens	open	VERB
cana-276	200	6	up	up	ADP
cana-276	200	7	new	new	ADJ
cana-276	200	8	possibilities	possibility	NOUN
cana-276	200	9	in	in	ADP
cana-276	200	10	medicine	medicine	NOUN
cana-276	200	11	,	,	PUNCT
cana-276	200	12	data	datum	NOUN
cana-276	200	13	processing	processing	NOUN
cana-276	200	14	,	,	PUNCT
cana-276	200	15	and	and	CCONJ
cana-276	200	16	communications	communication	NOUN
cana-276	200	17	on	on	ADP
cana-276	200	18	applied	apply	VERB
cana-276	200	19	nonlinear	nonlinear	ADJ
cana-276	200	20	analysis	analysis	NOUN
cana-276	200	21	issn	issn	NOUN
cana-276	200	22	:	:	PUNCT
cana-276	200	23	1074	1074	NUM
cana-276	200	24	-	-	PUNCT
cana-276	200	25	133x	133x	NUM
cana-276	200	26	vol	vol	NOUN
cana-276	200	27	30	30	NUM
cana-276	200	28	no	no	NOUN
cana-276	200	29	.	.	NOUN
cana-276	200	30	3	3	NUM
cana-276	200	31	(	(	PUNCT
cana-276	200	32	2023	2023	NUM
cana-276	200	33	)	)	PUNCT
cana-276	200	34	25	25	NUM
cana-276	200	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	200	36	technology	technology	NOUN
cana-276	200	37	by	by	ADP
cana-276	200	38	precisely	precisely	ADV
cana-276	200	39	simulating	simulate	VERB
cana-276	200	40	neural	neural	ADJ
cana-276	200	41	networks	network	NOUN
cana-276	200	42	'	'	PART
cana-276	200	43	nonlinear	nonlinear	ADJ
cana-276	200	44	dynamics	dynamic	NOUN
cana-276	200	45	.	.	PUNCT
cana-276	201	1	incorporating	incorporate	VERB
cana-276	201	2	nonlinear	nonlinear	ADJ
cana-276	201	3	dynamics	dynamic	NOUN
cana-276	201	4	into	into	ADP
cana-276	201	5	pattern	pattern	NOUN
cana-276	201	6	recognition	recognition	NOUN
cana-276	201	7	has	have	VERB
cana-276	201	8	exciting	exciting	ADJ
cana-276	201	9	prospects	prospect	NOUN
cana-276	201	10	,	,	PUNCT
cana-276	201	11	as	as	SCONJ
cana-276	201	12	shown	show	VERB
cana-276	201	13	in	in	ADP
cana-276	201	14	figure	figure	NOUN
cana-276	201	15	.	.	PUNCT
cana-276	202	1	the	the	DET
cana-276	202	2	indicated	indicate	VERB
cana-276	202	3	ndann	ndann	NOUN
cana-276	202	4	technique	technique	NOUN
cana-276	202	5	is	be	AUX
cana-276	202	6	outlined	outline	VERB
cana-276	202	7	in	in	ADP
cana-276	202	8	figure	figure	NOUN
cana-276	202	9	,	,	PUNCT
cana-276	202	10	which	which	PRON
cana-276	202	11	shows	show	VERB
cana-276	202	12	the	the	DET
cana-276	202	13	complex	complex	ADJ
cana-276	202	14	interplay	interplay	NOUN
cana-276	202	15	between	between	ADP
cana-276	202	16	increased	increase	VERB
cana-276	202	17	pattern	pattern	NOUN
cana-276	202	18	recognition	recognition	NOUN
cana-276	202	19	,	,	PUNCT
cana-276	202	20	neural	neural	ADJ
cana-276	202	21	networks	network	NOUN
cana-276	202	22	,	,	PUNCT
cana-276	202	23	and	and	CCONJ
cana-276	202	24	nonlinear	nonlinear	ADJ
cana-276	202	25	dynamics	dynamic	NOUN
cana-276	202	26	.	.	PUNCT
cana-276	203	1	the	the	DET
cana-276	203	2	method	method	NOUN
cana-276	203	3	's	's	PART
cana-276	203	4	robustness	robustness	NOUN
cana-276	203	5	is	be	AUX
cana-276	203	6	emphasized	emphasize	VERB
cana-276	203	7	by	by	ADP
cana-276	203	8	the	the	DET
cana-276	203	9	performance	performance	NOUN
cana-276	203	10	metrics	metric	NOUN
cana-276	203	11	and	and	CCONJ
cana-276	203	12	simulation	simulation	NOUN
cana-276	203	13	studies	study	NOUN
cana-276	203	14	,	,	PUNCT
cana-276	203	15	and	and	CCONJ
cana-276	203	16	the	the	DET
cana-276	203	17	prospective	prospective	ADJ
cana-276	203	18	applications	application	NOUN
cana-276	203	19	and	and	CCONJ
cana-276	203	20	larger	large	ADJ
cana-276	203	21	implications	implication	NOUN
cana-276	203	22	of	of	ADP
cana-276	203	23	ndann	ndann	NOUN
cana-276	203	24	in	in	ADP
cana-276	203	25	varied	varied	ADJ
cana-276	203	26	disciplines	discipline	NOUN
cana-276	203	27	are	be	AUX
cana-276	203	28	emphasized	emphasize	VERB
cana-276	203	29	by	by	ADP
cana-276	203	30	the	the	DET
cana-276	203	31	perspective	perspective	NOUN
cana-276	203	32	for	for	ADP
cana-276	203	33	future	future	ADJ
cana-276	203	34	advances	advance	NOUN
cana-276	203	35	.	.	PUNCT
cana-276	204	1	it	it	PRON
cana-276	204	2	's	be	AUX
cana-276	204	3	called	call	VERB
cana-276	204	4	"	"	PUNCT
cana-276	204	5	nonlinear	nonlinear	ADJ
cana-276	204	6	dynamics	dynamic	NOUN
cana-276	204	7	in	in	ADP
cana-276	204	8	neural	neural	ADJ
cana-276	204	9	networks	network	NOUN
cana-276	204	10	for	for	ADP
cana-276	204	11	pattern	pattern	NOUN
cana-276	204	12	recognition	recognition	NOUN
cana-276	204	13	,	,	PUNCT
cana-276	204	14	"	"	PUNCT
cana-276	204	15	and	and	CCONJ
cana-276	204	16	it	it	PRON
cana-276	204	17	enables	enable	VERB
cana-276	204	18	to	to	PART
cana-276	204	19	understand	understand	VERB
cana-276	204	20	the	the	DET
cana-276	204	21	way	way	NOUN
cana-276	204	22	this	this	DET
cana-276	204	23	novel	novel	ADJ
cana-276	204	24	approach	approach	NOUN
cana-276	204	25	affects	affect	VERB
cana-276	204	26	the	the	DET
cana-276	204	27	future	future	NOUN
cana-276	204	28	of	of	ADP
cana-276	204	29	pattern	pattern	NOUN
cana-276	204	30	recognition	recognition	NOUN
cana-276	204	31	technology	technology	NOUN
cana-276	204	32	.	.	PUNCT
cana-276	205	1	the	the	DET
cana-276	205	2	complex	complex	ADJ
cana-276	205	3	interplay	interplay	NOUN
cana-276	205	4	of	of	ADP
cana-276	205	5	accuracy	accuracy	NOUN
cana-276	205	6	,	,	PUNCT
cana-276	205	7	precision	precision	NOUN
cana-276	205	8	,	,	PUNCT
cana-276	205	9	and	and	CCONJ
cana-276	205	10	the	the	DET
cana-276	205	11	detailed	detailed	ADJ
cana-276	205	12	assessment	assessment	NOUN
cana-276	205	13	of	of	ADP
cana-276	205	14	ndann	ndann	PROPN
cana-276	205	15	is	be	AUX
cana-276	205	16	captured	capture	VERB
cana-276	205	17	in	in	ADP
cana-276	205	18	figure	figure	NOUN
cana-276	205	19	3	3	NUM
cana-276	205	20	within	within	ADP
cana-276	205	21	this	this	DET
cana-276	205	22	framework	framework	NOUN
cana-276	205	23	.	.	PUNCT
cana-276	206	1	it	it	PRON
cana-276	206	2	graphically	graphically	ADV
cana-276	206	3	demonstrates	demonstrate	VERB
cana-276	206	4	the	the	DET
cana-276	206	5	method	method	NOUN
cana-276	206	6	's	's	PART
cana-276	206	7	dependability	dependability	NOUN
cana-276	206	8	across	across	ADP
cana-276	206	9	varied	varied	ADJ
cana-276	206	10	datasets	dataset	NOUN
cana-276	206	11	by	by	ADP
cana-276	206	12	putting	put	VERB
cana-276	206	13	focus	focus	NOUN
cana-276	206	14	on	on	ADP
cana-276	206	15	simulation	simulation	NOUN
cana-276	206	16	analyses	analysis	NOUN
cana-276	206	17	.	.	PUNCT
cana-276	207	1	the	the	DET
cana-276	207	2	complex	complex	ADJ
cana-276	207	3	nonlinear	nonlinear	ADJ
cana-276	207	4	dynamics	dynamic	NOUN
cana-276	207	5	of	of	ADP
cana-276	207	6	pattern	pattern	NOUN
cana-276	207	7	recognition	recognition	NOUN
cana-276	207	8	neural	neural	ADJ
cana-276	207	9	networks	network	NOUN
cana-276	207	10	are	be	AUX
cana-276	207	11	shown	show	VERB
cana-276	207	12	in	in	ADP
cana-276	207	13	figure	figure	NOUN
cana-276	207	14	3	3	NUM
cana-276	207	15	.	.	PUNCT
cana-276	207	16	to	to	PART
cana-276	207	17	further	far	ADV
cana-276	207	18	understand	understand	VERB
cana-276	207	19	how	how	SCONJ
cana-276	207	20	these	these	DET
cana-276	207	21	dynamics	dynamic	NOUN
cana-276	207	22	lead	lead	VERB
cana-276	207	23	to	to	ADP
cana-276	207	24	adaptation	adaptation	NOUN
cana-276	207	25	and	and	CCONJ
cana-276	207	26	improved	improved	ADJ
cana-276	207	27	performance	performance	NOUN
cana-276	207	28	in	in	ADP
cana-276	207	29	capturing	capture	VERB
cana-276	207	30	complicated	complicated	ADJ
cana-276	207	31	patterns	pattern	NOUN
cana-276	207	32	,	,	PUNCT
cana-276	207	33	the	the	DET
cana-276	207	34	neuronal	neuronal	ADJ
cana-276	207	35	ensemble	ensemble	NOUN
cana-276	207	36	's	's	PART
cana-276	207	37	feedback	feedback	NOUN
cana-276	207	38	inhibition	inhibition	NOUN
cana-276	207	39	mechanisms	mechanism	NOUN
cana-276	207	40	and	and	CCONJ
cana-276	207	41	complex	complex	ADJ
cana-276	207	42	activation	activation	NOUN
cana-276	207	43	processes	process	NOUN
cana-276	207	44	are	be	AUX
cana-276	207	45	visualized	visualize	VERB
cana-276	207	46	in	in	ADP
cana-276	207	47	the	the	DET
cana-276	207	48	graph	graph	NOUN
cana-276	207	49	.	.	PUNCT
cana-276	208	1	a	a	DET
cana-276	208	2	better	well	ADJ
cana-276	208	3	grasp	grasp	NOUN
cana-276	208	4	of	of	ADP
cana-276	208	5	the	the	DET
cana-276	208	6	network	network	NOUN
cana-276	208	7	's	's	PART
cana-276	208	8	pattern	pattern	NOUN
cana-276	208	9	recognition	recognition	NOUN
cana-276	208	10	and	and	CCONJ
cana-276	208	11	adaptation	adaptation	NOUN
cana-276	208	12	capabilities	capability	NOUN
cana-276	208	13	may	may	AUX
cana-276	208	14	be	be	AUX
cana-276	208	15	gained	gain	VERB
cana-276	208	16	from	from	ADP
cana-276	208	17	the	the	DET
cana-276	208	18	visual	visual	ADJ
cana-276	208	19	depiction	depiction	NOUN
cana-276	208	20	,	,	PUNCT
cana-276	208	21	which	which	PRON
cana-276	208	22	improves	improve	VERB
cana-276	208	23	comprehension	comprehension	NOUN
cana-276	208	24	of	of	ADP
cana-276	208	25	the	the	DET
cana-276	208	26	interaction	interaction	NOUN
cana-276	208	27	among	among	ADP
cana-276	208	28	individual	individual	ADJ
cana-276	208	29	forecasts	forecast	NOUN
cana-276	208	30	,	,	PUNCT
cana-276	208	31	sigmoidal	sigmoidal	NOUN
cana-276	208	32	terms	term	NOUN
cana-276	208	33	,	,	PUNCT
cana-276	208	34	sinusoidal	sinusoidal	ADJ
cana-276	208	35	elements	element	NOUN
cana-276	208	36	,	,	PUNCT
cana-276	208	37	as	as	ADV
cana-276	208	38	well	well	ADV
cana-276	208	39	as	as	ADP
cana-276	208	40	feedback	feedback	NOUN
cana-276	208	41	inhibition	inhibition	NOUN
cana-276	208	42	.	.	PUNCT
cana-276	209	1	∆𝑥𝑗𝑘(𝑢	∆𝑥𝑗𝑘(𝑢	NOUN
cana-276	209	2	)	)	PUNCT
cana-276	209	3	=	=	PUNCT
cana-276	209	4	𝛽.	𝛽.	NOUN
cana-276	209	5	tanh	tanh	PROPN
cana-276	209	6	(	(	PUNCT
cana-276	209	7	𝛾.	𝛾.	NOUN
cana-276	209	8	𝑥𝑗𝑘(𝑢	𝑥𝑗𝑘(𝑢	PROPN
cana-276	209	9	)	)	PUNCT
cana-276	209	10	)	)	PUNCT
cana-276	210	1	+	+	CCONJ
cana-276	210	2	𝛿.	𝛿.	ADJ
cana-276	210	3	sin(𝑥𝑢	sin(𝑥𝑢	NOUN
cana-276	210	4	+	+	CCONJ
cana-276	210	5	𝜑	𝜑	NOUN
cana-276	210	6	)	)	PUNCT
cana-276	210	7	.	.	PUNCT
cana-276	211	1	𝑥𝑗𝑘(𝑢	𝑥𝑗𝑘(𝑢	NOUN
cana-276	211	2	)	)	PUNCT
cana-276	212	1	+	+	CCONJ
cana-276	212	2	𝛼.	𝛼.	NOUN
cana-276	212	3	(	(	PUNCT
cana-276	212	4	1	1	NUM
cana-276	212	5	1+𝑓	1+𝑓	NUM
cana-276	212	6	−𝜖.𝑥𝑗𝑘(𝑢	−𝜖.𝑥𝑗𝑘(𝑢	NUM
cana-276	212	7	)	)	PUNCT
cana-276	212	8	−	−	NOUN
cana-276	212	9	1	1	NUM
cana-276	212	10	2	2	NUM
cana-276	212	11	)	)	PUNCT
cana-276	212	12	(	(	PUNCT
cana-276	212	13	7	7	X
cana-276	212	14	)	)	PUNCT
cana-276	212	15	the	the	DET
cana-276	212	16	equation	equation	NOUN
cana-276	212	17	(	(	PUNCT
cana-276	212	18	7	7	X
cana-276	212	19	)	)	PUNCT
cana-276	212	20	represents	represent	VERB
cana-276	212	21	the	the	DET
cana-276	212	22	variation	variation	NOUN
cana-276	212	23	in	in	ADP
cana-276	212	24	synaptic	synaptic	ADJ
cana-276	212	25	weights	weight	NOUN
cana-276	212	26	∆𝑥𝑗𝑘(𝑢	∆𝑥𝑗𝑘(𝑢	PROPN
cana-276	212	27	)	)	PUNCT
cana-276	212	28	in	in	ADP
cana-276	212	29	a	a	DET
cana-276	212	30	neural	neural	ADJ
cana-276	212	31	dynamic	dynamic	ADJ
cana-276	212	32	-	-	PUNCT
cana-276	212	33	adaptive	adaptive	ADJ
cana-276	212	34	neural	neural	ADJ
cana-276	212	35	network	network	NOUN
cana-276	212	36	(	(	PUNCT
cana-276	212	37	nd	nd	NOUN
cana-276	212	38	-	-	PUNCT
cana-276	212	39	ann	ann	NOUN
cana-276	212	40	)	)	PUNCT
cana-276	212	41	.	.	PUNCT
cana-276	213	1	it	it	PRON
cana-276	213	2	includes	include	VERB
cana-276	213	3	a	a	DET
cana-276	213	4	sinusoidal	sinusoidal	ADJ
cana-276	213	5	term	term	NOUN
cana-276	213	6	𝛿.	𝛿.	ADV
cana-276	213	7	sin(𝑥𝑢	sin(𝑥𝑢	NOUN
cana-276	214	1	+	+	CCONJ
cana-276	214	2	𝜑	𝜑	NOUN
cana-276	214	3	)	)	PUNCT
cana-276	214	4	.	.	PUNCT
cana-276	215	1	𝑥𝑗𝑘(𝑢	𝑥𝑗𝑘(𝑢	NOUN
cana-276	215	2	)	)	PUNCT
cana-276	215	3	that	that	PRON
cana-276	215	4	introduces	introduce	VERB
cana-276	215	5	oscillatory	oscillatory	ADJ
cana-276	215	6	behaviour	behaviour	NOUN
cana-276	215	7	,	,	PUNCT
cana-276	215	8	a	a	DET
cana-276	215	9	hyperbolic	hyperbolic	ADJ
cana-276	215	10	tangent	tangent	NOUN
cana-276	215	11	nonlinearity	nonlinearity	NOUN
cana-276	215	12	𝛽.	𝛽.	NOUN
cana-276	215	13	tanh	tanh	NOUN
cana-276	215	14	(	(	PUNCT
cana-276	215	15	𝛾.	𝛾.	NOUN
cana-276	215	16	𝑥𝑗𝑘(𝑢	𝑥𝑗𝑘(𝑢	PROPN
cana-276	215	17	)	)	PUNCT
cana-276	215	18	)	)	PUNCT
cana-276	215	19	,	,	PUNCT
cana-276	215	20	which	which	PRON
cana-276	215	21	represents	represent	VERB
cana-276	215	22	adaptive	adaptive	ADJ
cana-276	215	23	influences	influence	NOUN
cana-276	215	24	,	,	PUNCT
cana-276	215	25	and	and	CCONJ
cana-276	215	26	a	a	DET
cana-276	215	27	homeostatic	homeostatic	ADJ
cana-276	215	28	component	component	NOUN
cana-276	215	29	that	that	PRON
cana-276	215	30	modulates	modulate	VERB
cana-276	215	31	weights	weight	NOUN
cana-276	215	32	according	accord	VERB
cana-276	215	33	to	to	ADP
cana-276	215	34	a	a	DET
cana-276	215	35	sigmoidal	sigmoidal	NOUN
cana-276	215	36	function	function	NOUN
cana-276	215	37	𝛼.	𝛼.	NOUN
cana-276	215	38	(	(	PUNCT
cana-276	215	39	1	1	NUM
cana-276	215	40	1+𝑓	1+𝑓	NUM
cana-276	215	41	−𝜖.𝑥𝑗𝑘(𝑢	−𝜖.𝑥𝑗𝑘(𝑢	NUM
cana-276	215	42	)	)	PUNCT
cana-276	215	43	−	−	NOUN
cana-276	215	44	1	1	NUM
cana-276	215	45	2	2	NUM
cana-276	215	46	)	)	PUNCT
cana-276	215	47	,	,	PUNCT
cana-276	215	48	avoiding	avoid	VERB
cana-276	215	49	growth	growth	NOUN
cana-276	215	50	that	that	PRON
cana-276	215	51	is	be	AUX
cana-276	215	52	unregulated	unregulate	VERB
cana-276	215	53	the	the	DET
cana-276	215	54	factors	factor	NOUN
cana-276	215	55	𝛽	𝛽	NOUN
cana-276	215	56	,	,	PUNCT
cana-276	215	57	𝛿	𝛿	ADJ
cana-276	215	58	,	,	PUNCT
cana-276	215	59	𝛼	𝛼	PROPN
cana-276	215	60	,	,	PUNCT
cana-276	215	61	𝜖	𝜖	PROPN
cana-276	215	62	,	,	PUNCT
cana-276	215	63	𝛾	𝛾	NOUN
cana-276	215	64	and	and	CCONJ
cana-276	215	65	𝜑	𝜑	X
cana-276	215	66	the	the	DET
cana-276	215	67	size	size	NOUN
cana-276	215	68	,	,	PUNCT
cana-276	215	69	form	form	NOUN
cana-276	215	70	,	,	PUNCT
cana-276	215	71	and	and	CCONJ
cana-276	215	72	frequency	frequency	NOUN
cana-276	215	73	of	of	ADP
cana-276	215	74	these	these	DET
cana-276	215	75	components	component	NOUN
cana-276	215	76	,	,	PUNCT
cana-276	215	77	which	which	PRON
cana-276	215	78	together	together	ADV
cana-276	215	79	represent	represent	VERB
cana-276	215	80	the	the	DET
cana-276	215	81	complex	complex	ADJ
cana-276	215	82	dynamics	dynamic	NOUN
cana-276	215	83	of	of	ADP
cana-276	215	84	synaptic	synaptic	ADJ
cana-276	215	85	plasticity	plasticity	NOUN
cana-276	215	86	.	.	PUNCT
cana-276	216	1	this	this	PRON
cana-276	216	2	is	be	AUX
cana-276	216	3	essential	essential	ADJ
cana-276	216	4	for	for	ADP
cana-276	216	5	the	the	DET
cana-276	216	6	flexible	flexible	ADJ
cana-276	216	7	and	and	CCONJ
cana-276	216	8	consistent	consistent	ADJ
cana-276	216	9	operation	operation	NOUN
cana-276	216	10	of	of	ADP
cana-276	216	11	neural	neural	ADJ
cana-276	216	12	networks	network	NOUN
cana-276	216	13	.	.	PUNCT
cana-276	217	1	𝑧𝑒𝑛𝑠𝑒𝑚𝑏𝑙𝑒(𝑦	𝑧𝑒𝑛𝑠𝑒𝑚𝑏𝑙𝑒(𝑦	NOUN
cana-276	217	2	)	)	PUNCT
cana-276	217	3	=	=	SYM
cana-276	217	4	1	1	NUM
cana-276	217	5	𝑁	𝑁	PROPN
cana-276	217	6	∑	∑	PROPN
cana-276	217	7	(	(	PUNCT
cana-276	217	8	1	1	NUM
cana-276	217	9	1+𝑓−𝛽.𝑧𝑛(𝑦	1+𝑓−𝛽.𝑧𝑛(𝑦	NUM
cana-276	217	10	)	)	PUNCT
cana-276	217	11	+	+	CCONJ
cana-276	217	12	𝛾.	𝛾.	ADJ
cana-276	217	13	sin	sin	NOUN
cana-276	217	14	(	(	PUNCT
cana-276	217	15	𝛿.	𝛿.	ADV
cana-276	217	16	𝑧𝑛(𝑦)))𝑁	𝑧𝑛(𝑦)))𝑁	ADJ
cana-276	217	17	𝑛=1	𝑛=1	PROPN
cana-276	217	18	−	−	PROPN
cana-276	217	19	𝛼.	𝛼.	NOUN
cana-276	217	20	(	(	PUNCT
cana-276	217	21	1	1	NUM
cana-276	217	22	1+𝑓−𝜖.𝑦𝑒𝑛𝑠𝑒𝑚𝑏𝑙𝑒(𝑦	1+𝑓−𝜖.𝑦𝑒𝑛𝑠𝑒𝑚𝑏𝑙𝑒(𝑦	NUM
cana-276	217	23	)	)	PUNCT
cana-276	217	24	)	)	PUNCT
cana-276	217	25	(	(	PUNCT
cana-276	217	26	8)	8)	NUM
cana-276	217	27	the	the	DET
cana-276	217	28	result	result	NOUN
cana-276	217	29	of	of	ADP
cana-276	217	30	the	the	DET
cana-276	217	31	nd	nd	NOUN
cana-276	217	32	-	-	PUNCT
cana-276	217	33	ann	ann	PROPN
cana-276	217	34	ensemble	ensemble	NOUN
cana-276	217	35	,	,	PUNCT
cana-276	217	36	characterized	characterize	VERB
cana-276	217	37	by	by	ADP
cana-276	217	38	a	a	DET
cana-276	217	39	merger	merger	NOUN
cana-276	217	40	of	of	ADP
cana-276	217	41	individual	individual	ADJ
cana-276	217	42	predictions	prediction	NOUN
cana-276	217	43	of	of	ADP
cana-276	217	44	𝑁	𝑁	ADJ
cana-276	217	45	neural	neural	ADJ
cana-276	217	46	networks	network	NOUN
cana-276	217	47	,	,	PUNCT
cana-276	217	48	is	be	AUX
cana-276	217	49	represented	represent	VERB
cana-276	217	50	by	by	ADP
cana-276	217	51	𝑧𝑒𝑛𝑠𝑒𝑚𝑏𝑙𝑒(𝑦	𝑧𝑒𝑛𝑠𝑒𝑚𝑏𝑙𝑒(𝑦	NOUN
cana-276	217	52	)	)	PUNCT
cana-276	217	53	in	in	ADP
cana-276	217	54	the	the	DET
cana-276	217	55	equation	equation	NOUN
cana-276	217	56	(	(	PUNCT
cana-276	217	57	8)	8)	NUM
cana-276	217	58	.	.	PUNCT
cana-276	218	1	every	every	DET
cana-276	218	2	single	single	ADJ
cana-276	218	3	forecast	forecast	NOUN
cana-276	218	4	𝑧𝑛(𝑦	𝑧𝑛(𝑦	NOUN
cana-276	218	5	)	)	PUNCT
cana-276	218	6	goes	go	VERB
cana-276	218	7	through	through	ADP
cana-276	218	8	an	an	DET
cana-276	218	9	intricate	intricate	ADJ
cana-276	218	10	activation	activation	NOUN
cana-276	218	11	procedure	procedure	NOUN
cana-276	218	12	that	that	PRON
cana-276	218	13	incorporates	incorporate	VERB
cana-276	218	14	a	a	DET
cana-276	218	15	sinusoidal	sinusoidal	ADJ
cana-276	218	16	element	element	NOUN
cana-276	218	17	with	with	ADP
cana-276	218	18	parameter	parameter	PROPN
cana-276	218	19	𝛼	𝛼	PROPN
cana-276	218	20	,	,	PUNCT
cana-276	218	21	a	a	DET
cana-276	218	22	sigmoidal	sigmoidal	ADJ
cana-276	218	23	term	term	NOUN
cana-276	218	24	with	with	ADP
cana-276	218	25	values	value	NOUN
cana-276	218	26	𝛾	𝛾	NOUN
cana-276	218	27	and	and	CCONJ
cana-276	218	28	𝛽	𝛽	NOUN
cana-276	218	29	,	,	PUNCT
cana-276	218	30	and	and	CCONJ
cana-276	218	31	so	so	ADV
cana-276	218	32	on	on	ADV
cana-276	218	33	.	.	PUNCT
cana-276	219	1	the	the	DET
cana-276	219	2	total	total	NOUN
cana-276	219	3	of	of	ADP
cana-276	219	4	these	these	DET
cana-276	219	5	activated	activate	VERB
cana-276	219	6	predictions	prediction	NOUN
cana-276	219	7	is	be	AUX
cana-276	219	8	used	use	VERB
cana-276	219	9	to	to	PART
cana-276	219	10	generate	generate	VERB
cana-276	219	11	the	the	DET
cana-276	219	12	ensemble	ensemble	ADJ
cana-276	219	13	average	average	NOUN
cana-276	219	14	,	,	PUNCT
cana-276	219	15	with	with	ADP
cana-276	219	16	the	the	DET
cana-276	219	17	inhibitory	inhibitory	ADJ
cana-276	219	18	term	term	NOUN
cana-276	219	19	being	be	AUX
cana-276	219	20	guided	guide	VERB
cana-276	219	21	by	by	ADP
cana-276	219	22	a	a	DET
cana-276	219	23	sigmoidal	sigmoidal	NOUN
cana-276	219	24	function	function	NOUN
cana-276	219	25	with	with	ADP
cana-276	219	26	parameters	parameter	NOUN
cana-276	219	27	𝜖	𝜖	PROPN
cana-276	219	28	and	and	CCONJ
cana-276	219	29	𝛼.	𝛼.	VERB
cana-276	219	30	the	the	DET
cana-276	219	31	dynamic	dynamic	ADJ
cana-276	219	32	inhibitory	inhibitory	ADJ
cana-276	219	33	mechanism	mechanism	NOUN
cana-276	219	34	introduced	introduce	VERB
cana-276	219	35	by	by	ADP
cana-276	219	36	this	this	DET
cana-276	219	37	feedback	feedback	NOUN
cana-276	219	38	inhibitory	inhibitory	ADJ
cana-276	219	39	term	term	NOUN
cana-276	219	40	enhances	enhance	VERB
cana-276	219	41	the	the	DET
cana-276	219	42	ensemble	ensemble	NOUN
cana-276	219	43	's	's	PART
cana-276	219	44	flexibility	flexibility	NOUN
cana-276	219	45	and	and	CCONJ
cana-276	219	46	performance	performance	NOUN
cana-276	219	47	as	as	ADP
cana-276	219	48	a	a	DET
cana-276	219	49	whole	whole	NOUN
cana-276	219	50	by	by	ADP
cana-276	219	51	dampening	dampen	VERB
cana-276	219	52	particular	particular	ADJ
cana-276	219	53	responses	response	NOUN
cana-276	219	54	.	.	PUNCT
cana-276	220	1	the	the	DET
cana-276	220	2	equation	equation	NOUN
cana-276	220	3	(	(	PUNCT
cana-276	220	4	8)	8)	NUM
cana-276	220	5	effectively	effectively	ADV
cana-276	220	6	captures	capture	VERB
cana-276	220	7	the	the	DET
cana-276	220	8	complicated	complicated	ADJ
cana-276	220	9	data	data	NOUN
cana-276	220	10	patterns	pattern	NOUN
cana-276	220	11	by	by	ADP
cana-276	220	12	integrating	integrate	VERB
cana-276	220	13	individual	individual	ADJ
cana-276	220	14	neural	neural	ADJ
cana-276	220	15	network	network	NOUN
cana-276	220	16	predictions	prediction	NOUN
cana-276	220	17	,	,	PUNCT
cana-276	220	18	an	an	DET
cana-276	220	19	advanced	advanced	ADJ
cana-276	220	20	activation	activation	NOUN
cana-276	220	21	function	function	NOUN
cana-276	220	22	,	,	PUNCT
cana-276	220	23	and	and	CCONJ
cana-276	220	24	a	a	DET
cana-276	220	25	feedback	feedback	NOUN
cana-276	220	26	inhibition	inhibition	NOUN
cana-276	220	27	mechanism	mechanism	NOUN
cana-276	220	28	.	.	PUNCT
cana-276	221	1	communications	communication	NOUN
cana-276	221	2	on	on	ADP
cana-276	221	3	applied	apply	VERB
cana-276	221	4	nonlinear	nonlinear	ADJ
cana-276	221	5	analysis	analysis	NOUN
cana-276	221	6	issn	issn	NOUN
cana-276	221	7	:	:	PUNCT
cana-276	221	8	1074	1074	NUM
cana-276	221	9	-	-	PUNCT
cana-276	221	10	133x	133x	NUM
cana-276	221	11	vol	vol	NOUN
cana-276	221	12	30	30	NUM
cana-276	221	13	no	no	NOUN
cana-276	221	14	.	.	NOUN
cana-276	221	15	3	3	NUM
cana-276	221	16	(	(	PUNCT
cana-276	221	17	2023	2023	NUM
cana-276	221	18	)	)	PUNCT
cana-276	221	19	26	26	NUM
cana-276	221	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	221	21	the	the	DET
cana-276	221	22	nd	nd	NOUN
cana-276	221	23	-	-	PUNCT
cana-276	221	24	ann	ann	PROPN
cana-276	221	25	,	,	PUNCT
cana-276	221	26	or	or	CCONJ
cana-276	221	27	nonlinear	nonlinear	ADJ
cana-276	221	28	dynamics	dynamic	NOUN
cana-276	221	29	-	-	PUNCT
cana-276	221	30	driven	drive	VERB
cana-276	221	31	adaptive	adaptive	ADJ
cana-276	221	32	neural	neural	ADJ
cana-276	221	33	network	network	NOUN
cana-276	221	34	,	,	PUNCT
cana-276	221	35	is	be	AUX
cana-276	221	36	a	a	DET
cana-276	221	37	method	method	NOUN
cana-276	221	38	for	for	ADP
cana-276	221	39	better	well	ADJ
cana-276	221	40	pattern	pattern	NOUN
cana-276	221	41	identification	identification	NOUN
cana-276	221	42	that	that	PRON
cana-276	221	43	the	the	DET
cana-276	221	44	paper	paper	NOUN
cana-276	221	45	introduces	introduce	NOUN
cana-276	221	46	.	.	PUNCT
cana-276	222	1	in	in	ADP
cana-276	222	2	order	order	NOUN
cana-276	222	3	to	to	PART
cana-276	222	4	overcome	overcome	VERB
cana-276	222	5	the	the	DET
cana-276	222	6	shortcomings	shortcoming	NOUN
cana-276	222	7	of	of	ADP
cana-276	222	8	conventional	conventional	ADJ
cana-276	222	9	neural	neural	ADJ
cana-276	222	10	networks	network	NOUN
cana-276	222	11	when	when	SCONJ
cana-276	222	12	it	it	PRON
cana-276	222	13	comes	come	VERB
cana-276	222	14	to	to	ADP
cana-276	222	15	understanding	understand	VERB
cana-276	222	16	intricate	intricate	ADJ
cana-276	222	17	,	,	PUNCT
cana-276	222	18	nonlinear	nonlinear	ADJ
cana-276	222	19	patterns	pattern	NOUN
cana-276	222	20	,	,	PUNCT
cana-276	222	21	nd	nd	NOUN
cana-276	222	22	-	-	PUNCT
cana-276	222	23	ann	ann	PROPN
cana-276	222	24	utilizes	utilize	VERB
cana-276	222	25	an	an	DET
cana-276	222	26	innovative	innovative	ADJ
cana-276	222	27	combination	combination	NOUN
cana-276	222	28	of	of	ADP
cana-276	222	29	a	a	DET
cana-276	222	30	hybrid	hybrid	ADJ
cana-276	222	31	learning	learning	NOUN
cana-276	222	32	approach	approach	NOUN
cana-276	222	33	,	,	PUNCT
cana-276	222	34	explainability	explainability	NOUN
cana-276	222	35	part	part	NOUN
cana-276	222	36	,	,	PUNCT
cana-276	222	37	ensemble	ensemble	ADJ
cana-276	222	38	integration	integration	NOUN
cana-276	222	39	,	,	PUNCT
cana-276	222	40	&	&	CCONJ
cana-276	222	41	adaptive	adaptive	ADJ
cana-276	222	42	design	design	NOUN
cana-276	222	43	.	.	PUNCT
cana-276	223	1	overcoming	overcome	VERB
cana-276	223	2	difficulties	difficulty	NOUN
cana-276	223	3	with	with	ADP
cana-276	223	4	interpretability	interpretability	NOUN
cana-276	223	5	,	,	PUNCT
cana-276	223	6	training	training	NOUN
cana-276	223	7	complexity	complexity	NOUN
cana-276	223	8	,	,	PUNCT
cana-276	223	9	&	&	CCONJ
cana-276	223	10	noise	noise	NOUN
cana-276	223	11	-	-	PUNCT
cana-276	223	12	induced	induce	VERB
cana-276	223	13	generalization	generalization	NOUN
cana-276	223	14	,	,	PUNCT
cana-276	223	15	nd	nd	NOUN
cana-276	223	16	-	-	PUNCT
cana-276	223	17	ann	ann	PROPN
cana-276	223	18	achieves	achieve	VERB
cana-276	223	19	a	a	DET
cana-276	223	20	critical	critical	ADJ
cana-276	223	21	equilibrium	equilibrium	NOUN
cana-276	223	22	among	among	ADP
cana-276	223	23	model	model	NOUN
cana-276	223	24	complexity	complexity	NOUN
cana-276	223	25	and	and	CCONJ
cana-276	223	26	interpretability	interpretability	NOUN
cana-276	223	27	.	.	PUNCT
cana-276	224	1	comprehensive	comprehensive	ADJ
cana-276	224	2	simulation	simulation	NOUN
cana-276	224	3	studies	study	NOUN
cana-276	224	4	confirm	confirm	VERB
cana-276	224	5	its	its	PRON
cana-276	224	6	effectiveness	effectiveness	NOUN
cana-276	224	7	,	,	PUNCT
cana-276	224	8	showing	show	VERB
cana-276	224	9	how	how	SCONJ
cana-276	224	10	nd	nd	NOUN
cana-276	224	11	-	-	PUNCT
cana-276	224	12	ann	ann	PROPN
cana-276	224	13	can	can	AUX
cana-276	224	14	capture	capture	VERB
cana-276	224	15	and	and	CCONJ
cana-276	224	16	understand	understand	VERB
cana-276	224	17	complex	complex	ADJ
cana-276	224	18	nonlinear	nonlinear	ADJ
cana-276	224	19	patterns	pattern	NOUN
cana-276	224	20	in	in	ADP
cana-276	224	21	real	real	ADJ
cana-276	224	22	-	-	PUNCT
cana-276	224	23	world	world	NOUN
cana-276	224	24	data	datum	NOUN
cana-276	224	25	,	,	PUNCT
cana-276	224	26	which	which	PRON
cana-276	224	27	might	might	AUX
cana-276	224	28	lead	lead	VERB
cana-276	224	29	to	to	ADP
cana-276	224	30	a	a	DET
cana-276	224	31	revolution	revolution	NOUN
cana-276	224	32	in	in	ADP
cana-276	224	33	healthcare	healthcare	PROPN
cana-276	224	34	accuracy	accuracy	NOUN
cana-276	224	35	,	,	PUNCT
cana-276	224	36	processing	processing	NOUN
cana-276	224	37	of	of	ADP
cana-276	224	38	information	information	NOUN
cana-276	224	39	,	,	PUNCT
cana-276	224	40	and	and	CCONJ
cana-276	224	41	technology	technology	NOUN
cana-276	224	42	.	.	PUNCT
cana-276	225	1	4	4	X
cana-276	225	2	.	.	NOUN
cana-276	225	3	results	result	NOUN
cana-276	225	4	and	and	CCONJ
cana-276	225	5	discussion	discussion	NOUN
cana-276	225	6	this	this	DET
cana-276	225	7	research	research	NOUN
cana-276	225	8	examines	examine	VERB
cana-276	225	9	nd	nd	NOUN
cana-276	225	10	-	-	PUNCT
cana-276	225	11	ann	ann	NOUN
cana-276	225	12	,	,	PUNCT
cana-276	225	13	or	or	CCONJ
cana-276	225	14	nonlinear	nonlinear	ADJ
cana-276	225	15	dynamics	dynamic	NOUN
cana-276	225	16	-	-	PUNCT
cana-276	225	17	driven	drive	VERB
cana-276	225	18	adaptive	adaptive	ADJ
cana-276	225	19	neural	neural	ADJ
cana-276	225	20	network	network	NOUN
cana-276	225	21	,	,	PUNCT
cana-276	225	22	and	and	CCONJ
cana-276	225	23	its	its	PRON
cana-276	225	24	capabilities	capability	NOUN
cana-276	225	25	in	in	ADP
cana-276	225	26	pattern	pattern	NOUN
cana-276	225	27	recognition	recognition	NOUN
cana-276	225	28	by	by	ADP
cana-276	225	29	testing	test	VERB
cana-276	225	30	it	it	PRON
cana-276	225	31	in	in	ADP
cana-276	225	32	a	a	DET
cana-276	225	33	number	number	NOUN
cana-276	225	34	of	of	ADP
cana-276	225	35	different	different	ADJ
cana-276	225	36	setups	setup	NOUN
cana-276	225	37	and	and	CCONJ
cana-276	225	38	conditions	condition	NOUN
cana-276	225	39	.	.	PUNCT
cana-276	226	1	for	for	ADP
cana-276	226	2	a	a	DET
cana-276	226	3	thorough	thorough	ADJ
cana-276	226	4	grasp	grasp	NOUN
cana-276	226	5	of	of	ADP
cana-276	226	6	nd	nd	NOUN
cana-276	226	7	-	-	PUNCT
cana-276	226	8	ann	ann	PROPN
cana-276	226	9	's	's	PART
cana-276	226	10	pattern	pattern	NOUN
cana-276	226	11	detection	detection	NOUN
cana-276	226	12	efficacy	efficacy	NOUN
cana-276	226	13	,	,	PUNCT
cana-276	226	14	people	people	NOUN
cana-276	226	15	investigate	investigate	VERB
cana-276	226	16	precision	precision	NOUN
cana-276	226	17	,	,	PUNCT
cana-276	226	18	accuracy	accuracy	NOUN
cana-276	226	19	,	,	PUNCT
cana-276	226	20	recall	recall	NOUN
cana-276	226	21	,	,	PUNCT
cana-276	226	22	and	and	CCONJ
cana-276	226	23	f1	f1	NOUN
cana-276	226	24	score	score	NOUN
cana-276	226	25	measures	measure	NOUN
cana-276	226	26	.	.	PUNCT
cana-276	227	1	figure	figure	NOUN
cana-276	227	2	4(a	4(a	NUM
cana-276	227	3	):	):	PUNCT
cana-276	227	4	precision	precision	NOUN
cana-276	227	5	analysis	analysis	NOUN
cana-276	227	6	is	be	AUX
cana-276	227	7	compared	compare	VERB
cana-276	227	8	with	with	ADP
cana-276	227	9	nd	nd	NOUN
cana-276	227	10	-	-	PUNCT
cana-276	227	11	ann	ann	ADJ
cana-276	227	12	figure	figure	NOUN
cana-276	227	13	4(b	4(b	NUM
cana-276	227	14	):	):	PUNCT
cana-276	227	15	precision	precision	NOUN
cana-276	227	16	analysis	analysis	NOUN
cana-276	227	17	is	be	AUX
cana-276	227	18	compared	compare	VERB
cana-276	227	19	with	with	ADP
cana-276	227	20	hla	hla	NOUN
cana-276	227	21	the	the	DET
cana-276	227	22	dependability	dependability	NOUN
cana-276	227	23	and	and	CCONJ
cana-276	227	24	accuracy	accuracy	NOUN
cana-276	227	25	of	of	ADP
cana-276	227	26	the	the	DET
cana-276	227	27	nonlinear	nonlinear	ADJ
cana-276	227	28	dynamics	dynamic	NOUN
cana-276	227	29	-	-	PUNCT
cana-276	227	30	driven	drive	VERB
cana-276	227	31	adaptive	adaptive	ADJ
cana-276	227	32	neural	neural	ADJ
cana-276	227	33	network	network	NOUN
cana-276	227	34	(	(	PUNCT
cana-276	227	35	ndann	ndann	PROPN
cana-276	227	36	)	)	PUNCT
cana-276	227	37	in	in	ADP
cana-276	227	38	capturing	capture	VERB
cana-276	227	39	complicated	complicated	ADJ
cana-276	227	40	patterns	pattern	NOUN
cana-276	227	41	across	across	ADP
cana-276	227	42	varied	varied	ADJ
cana-276	227	43	datasets	dataset	NOUN
cana-276	227	44	are	be	AUX
cana-276	227	45	revealed	reveal	VERB
cana-276	227	46	by	by	ADP
cana-276	227	47	its	its	PRON
cana-276	227	48	precision	precision	NOUN
cana-276	227	49	analysis	analysis	NOUN
cana-276	227	50	inside	inside	ADP
cana-276	227	51	the	the	DET
cana-276	227	52	pattern	pattern	NOUN
cana-276	227	53	recognition	recognition	NOUN
cana-276	227	54	context	context	NOUN
cana-276	227	55	.	.	PUNCT
cana-276	228	1	the	the	DET
cana-276	228	2	ratio	ratio	NOUN
cana-276	228	3	of	of	ADP
cana-276	228	4	successfully	successfully	ADV
cana-276	228	5	identified	identify	VERB
cana-276	228	6	positive	positive	ADJ
cana-276	228	7	occurrences	occurrence	NOUN
cana-276	228	8	to	to	ADP
cana-276	228	9	the	the	DET
cana-276	228	10	total	total	NOUN
cana-276	228	11	anticipated	anticipate	VERB
cana-276	228	12	positive	positive	ADJ
cana-276	228	13	instances	instance	NOUN
cana-276	228	14	is	be	AUX
cana-276	228	15	measured	measure	VERB
cana-276	228	16	by	by	ADP
cana-276	228	17	precision	precision	NOUN
cana-276	228	18	,	,	PUNCT
cana-276	228	19	a	a	DET
cana-276	228	20	crucial	crucial	ADJ
cana-276	228	21	parameter	parameter	NOUN
cana-276	228	22	in	in	ADP
cana-276	228	23	pattern	pattern	NOUN
cana-276	228	24	recognition	recognition	NOUN
cana-276	228	25	.	.	PUNCT
cana-276	229	1	by	by	ADP
cana-276	229	2	reducing	reduce	VERB
cana-276	229	3	the	the	DET
cana-276	229	4	number	number	NOUN
cana-276	229	5	of	of	ADP
cana-276	229	6	false	false	ADJ
cana-276	229	7	positives	positive	NOUN
cana-276	229	8	,	,	PUNCT
cana-276	229	9	ndann	ndann	PROPN
cana-276	229	10	's	's	PART
cana-276	229	11	precision	precision	NOUN
cana-276	229	12	analysis	analysis	NOUN
cana-276	229	13	highlights	highlight	NOUN
cana-276	229	14	its	its	PRON
cana-276	229	15	keen	keen	ADJ
cana-276	229	16	ability	ability	NOUN
cana-276	229	17	to	to	PART
cana-276	229	18	detect	detect	VERB
cana-276	229	19	relevant	relevant	ADJ
cana-276	229	20	patterns	pattern	NOUN
cana-276	229	21	.	.	PUNCT
cana-276	230	1	by	by	ADP
cana-276	230	2	improving	improve	VERB
cana-276	230	3	its	its	PRON
cana-276	230	4	capacity	capacity	NOUN
cana-276	230	5	to	to	PART
cana-276	230	6	differentiate	differentiate	VERB
cana-276	230	7	meaningful	meaningful	ADJ
cana-276	230	8	patterns	pattern	NOUN
cana-276	230	9	from	from	ADP
cana-276	230	10	noise	noise	NOUN
cana-276	230	11	,	,	PUNCT
cana-276	230	12	ndann	ndann	PROPN
cana-276	230	13	's	's	PART
cana-276	230	14	hybrid	hybrid	ADJ
cana-276	230	15	learning	learning	NOUN
cana-276	230	16	algorithm	algorithm	NOUN
cana-276	230	17	,	,	PUNCT
cana-276	230	18	explainability	explainability	NOUN
cana-276	230	19	module	module	NOUN
cana-276	230	20	,	,	PUNCT
cana-276	230	21	ensemble	ensemble	ADJ
cana-276	230	22	integration	integration	NOUN
cana-276	230	23	,	,	PUNCT
cana-276	230	24	regularization	regularization	NOUN
cana-276	230	25	for	for	ADP
cana-276	230	26	stability	stability	NOUN
cana-276	230	27	,	,	PUNCT
cana-276	230	28	and	and	CCONJ
cana-276	230	29	adaptive	adaptive	ADJ
cana-276	230	30	architecture	architecture	NOUN
cana-276	230	31	all	all	DET
cana-276	230	32	work	work	VERB
cana-276	230	33	together	together	ADV
cana-276	230	34	to	to	PART
cana-276	230	35	increase	increase	VERB
cana-276	230	36	its	its	PRON
cana-276	230	37	accuracy	accuracy	NOUN
cana-276	230	38	.	.	PUNCT
cana-276	231	1	the	the	DET
cana-276	231	2	efficiency	efficiency	NOUN
cana-276	231	3	of	of	ADP
cana-276	231	4	ndann	ndann	NOUN
cana-276	231	5	in	in	ADP
cana-276	231	6	accurately	accurately	ADV
cana-276	231	7	finding	find	VERB
cana-276	231	8	and	and	CCONJ
cana-276	231	9	classifying	classify	VERB
cana-276	231	10	positive	positive	ADJ
cana-276	231	11	cases	case	NOUN
cana-276	231	12	inside	inside	ADP
cana-276	231	13	complex	complex	ADJ
cana-276	231	14	and	and	CCONJ
cana-276	231	15	dynamic	dynamic	ADJ
cana-276	231	16	patterns	pattern	NOUN
cana-276	231	17	is	be	AUX
cana-276	231	18	confirmed	confirm	VERB
cana-276	231	19	by	by	ADP
cana-276	231	20	its	its	PRON
cana-276	231	21	continuously	continuously	ADV
cana-276	231	22	high	high	ADJ
cana-276	231	23	precision	precision	NOUN
cana-276	231	24	levels	level	NOUN
cana-276	231	25	,	,	PUNCT
cana-276	231	26	as	as	SCONJ
cana-276	231	27	shown	show	VERB
cana-276	231	28	in	in	ADP
cana-276	231	29	comprehensive	comprehensive	ADJ
cana-276	231	30	simulation	simulation	NOUN
cana-276	231	31	analyses	analyse	VERB
cana-276	231	32	across	across	ADP
cana-276	231	33	different	different	ADJ
cana-276	231	34	datasets	dataset	NOUN
cana-276	231	35	.	.	PUNCT
cana-276	232	1	healthcare	healthcare	NOUN
cana-276	232	2	diagnostics	diagnostic	NOUN
cana-276	232	3	,	,	PUNCT
cana-276	232	4	financial	financial	ADJ
cana-276	232	5	fraud	fraud	NOUN
cana-276	232	6	detection	detection	NOUN
cana-276	232	7	,	,	PUNCT
cana-276	232	8	and	and	CCONJ
cana-276	232	9	security	security	NOUN
cana-276	232	10	surveillance	surveillance	NOUN
cana-276	232	11	are	be	AUX
cana-276	232	12	only	only	ADV
cana-276	232	13	a	a	DET
cana-276	232	14	few	few	ADJ
cana-276	232	15	examples	example	NOUN
cana-276	232	16	of	of	ADP
cana-276	232	17	real	real	ADJ
cana-276	232	18	-	-	PUNCT
cana-276	232	19	world	world	NOUN
cana-276	232	20	applications	application	NOUN
cana-276	232	21	where	where	SCONJ
cana-276	232	22	ndann	ndann	NOUN
cana-276	232	23	's	's	PART
cana-276	232	24	practical	practical	ADJ
cana-276	232	25	value	value	NOUN
cana-276	232	26	is	be	AUX
cana-276	232	27	shown	show	VERB
cana-276	232	28	by	by	ADP
cana-276	232	29	the	the	DET
cana-276	232	30	precise	precise	ADJ
cana-276	232	31	analysis	analysis	NOUN
cana-276	232	32	.	.	PUNCT
cana-276	233	1	to	to	ADP
cana-276	233	2	its	its	PRON
cana-276	233	3	exceptional	exceptional	ADJ
cana-276	233	4	accuracy	accuracy	NOUN
cana-276	233	5	,	,	PUNCT
cana-276	233	6	ndann	ndann	PROPN
cana-276	233	7	is	be	AUX
cana-276	233	8	a	a	DET
cana-276	233	9	strong	strong	ADJ
cana-276	233	10	and	and	CCONJ
cana-276	233	11	trustworthy	trustworthy	ADJ
cana-276	233	12	instrument	instrument	NOUN
cana-276	233	13	that	that	PRON
cana-276	233	14	could	could	AUX
cana-276	233	15	significantly	significantly	ADV
cana-276	233	16	improve	improve	VERB
cana-276	233	17	pattern	pattern	NOUN
cana-276	233	18	recognition	recognition	NOUN
cana-276	233	19	technology	technology	NOUN
cana-276	233	20	in	in	ADP
cana-276	233	21	practical	practical	ADJ
cana-276	233	22	settings	setting	NOUN
cana-276	233	23	.	.	PUNCT
cana-276	234	1	the	the	DET
cana-276	234	2	nonlinear	nonlinear	ADJ
cana-276	234	3	dynamics	dynamic	NOUN
cana-276	234	4	-	-	PUNCT
cana-276	234	5	driven	drive	VERB
cana-276	234	6	adaptive	adaptive	ADJ
cana-276	234	7	neural	neural	NOUN
cana-276	234	8	0	0	NUM
cana-276	234	9	50	50	NUM
cana-276	234	10	100	100	NUM
cana-276	234	11	150	150	NUM
cana-276	234	12	200	200	NUM
cana-276	234	13	250	250	NUM
cana-276	234	14	300	300	NUM
cana-276	234	15	350	350	NUM
cana-276	234	16	400	400	NUM
cana-276	234	17	1	1	NUM
cana-276	234	18	0	0	NUM
cana-276	234	19	2	2	NUM
cana-276	234	20	0	0	NUM
cana-276	234	21	3	3	NUM
cana-276	234	22	0	0	NUM
cana-276	234	23	4	4	NUM
cana-276	234	24	0	0	NUM
cana-276	234	25	5	5	NUM
cana-276	234	26	0	0	NUM
cana-276	234	27	6	6	NUM
cana-276	234	28	0	0	NUM
cana-276	234	29	7	7	NUM
cana-276	234	30	0	0	NUM
cana-276	234	31	8	8	NUM
cana-276	234	32	0	0	NUM
cana-276	234	33	9	9	NUM
cana-276	234	34	0	0	NUM
cana-276	234	35	1	1	NUM
cana-276	234	36	0	0	NUM
cana-276	234	37	0	0	NUM
cana-276	234	38	p	p	NOUN
cana-276	234	39	r	r	NOUN
cana-276	234	40	e	e	NOUN
cana-276	234	41	c	c	NOUN
cana-276	234	42	is	be	AUX
cana-276	234	43	io	io	PROPN
cana-276	234	44	n	n	DET
cana-276	234	45	a	a	DET
cana-276	234	46	n	n	NOUN
cana-276	234	47	a	a	DET
cana-276	234	48	l	l	NOUN
cana-276	234	49	y	y	NOUN
cana-276	234	50	s	s	PROPN
cana-276	234	51	is	be	AUX
cana-276	234	52	r	r	NOUN
cana-276	234	53	a	a	DET
cana-276	234	54	t	t	NOUN
cana-276	234	55	io	io	X
cana-276	234	56	(	(	PUNCT
cana-276	234	57	%	%	INTJ
cana-276	234	58	)	)	PUNCT
cana-276	234	59	number	number	NOUN
cana-276	234	60	of	of	ADP
cana-276	234	61	samples	sample	NOUN
cana-276	234	62	pr	pr	AUX
cana-276	234	63	ct	ct	PROPN
cana-276	234	64	-	-	PUNCT
cana-276	234	65	ai	ai	PROPN
cana-276	234	66	ftc	ftc	PROPN
cana-276	234	67	rnn	rnn	PROPN
cana-276	234	68	nd	nd	PROPN
cana-276	234	69	-	-	PROPN
cana-276	234	70	ann	ann	PROPN
cana-276	234	71	0	0	NUM
cana-276	234	72	50	50	NUM
cana-276	234	73	100	100	NUM
cana-276	234	74	150	150	NUM
cana-276	234	75	200	200	NUM
cana-276	234	76	250	250	NUM
cana-276	234	77	300	300	NUM
cana-276	234	78	350	350	NUM
cana-276	234	79	400	400	NUM
cana-276	234	80	450	450	NUM
cana-276	234	81	1	1	NUM
cana-276	234	82	0	0	NUM
cana-276	234	83	2	2	NUM
cana-276	234	84	0	0	NUM
cana-276	234	85	3	3	NUM
cana-276	234	86	0	0	NUM
cana-276	234	87	4	4	NUM
cana-276	234	88	0	0	NUM
cana-276	234	89	5	5	NUM
cana-276	234	90	0	0	NUM
cana-276	234	91	6	6	NUM
cana-276	234	92	0	0	NUM
cana-276	234	93	7	7	NUM
cana-276	234	94	0	0	NUM
cana-276	234	95	8	8	NUM
cana-276	234	96	0	0	NUM
cana-276	234	97	9	9	NUM
cana-276	234	98	0	0	NUM
cana-276	234	99	1	1	NUM
cana-276	234	100	0	0	NUM
cana-276	234	101	0	0	NUM
cana-276	235	1	p	p	NOUN
cana-276	235	2	r	r	NOUN
cana-276	235	3	e	e	NOUN
cana-276	235	4	c	c	NOUN
cana-276	235	5	is	be	AUX
cana-276	235	6	io	io	PROPN
cana-276	235	7	n	n	DET
cana-276	235	8	a	a	DET
cana-276	235	9	n	n	NOUN
cana-276	235	10	a	a	DET
cana-276	235	11	l	l	NOUN
cana-276	235	12	y	y	NOUN
cana-276	235	13	s	s	PROPN
cana-276	235	14	is	be	AUX
cana-276	235	15	r	r	NOUN
cana-276	235	16	a	a	DET
cana-276	235	17	t	t	NOUN
cana-276	235	18	io	io	X
cana-276	235	19	(	(	PUNCT
cana-276	235	20	%	%	INTJ
cana-276	235	21	)	)	PUNCT
cana-276	235	22	number	number	NOUN
cana-276	235	23	of	of	ADP
cana-276	235	24	samples	sample	NOUN
cana-276	235	25	pr	pr	X
cana-276	235	26	ct	ct	PROPN
cana-276	235	27	-	-	PUNCT
cana-276	235	28	ai	ai	PROPN
cana-276	235	29	ftc	ftc	PROPN
cana-276	235	30	rnn	rnn	PROPN
cana-276	235	31	hla	hla	PROPN
cana-276	235	32	communications	communication	NOUN
cana-276	235	33	on	on	ADP
cana-276	235	34	applied	apply	VERB
cana-276	235	35	nonlinear	nonlinear	ADJ
cana-276	235	36	analysis	analysis	NOUN
cana-276	235	37	issn	issn	NOUN
cana-276	235	38	:	:	PUNCT
cana-276	235	39	1074	1074	NUM
cana-276	235	40	-	-	PUNCT
cana-276	235	41	133x	133x	NUM
cana-276	235	42	vol	vol	NOUN
cana-276	235	43	30	30	NUM
cana-276	235	44	no	no	NOUN
cana-276	235	45	.	.	NOUN
cana-276	235	46	3	3	NUM
cana-276	235	47	(	(	PUNCT
cana-276	235	48	2023	2023	NUM
cana-276	235	49	)	)	PUNCT
cana-276	235	50	27	27	NUM
cana-276	235	51	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	235	52	network	network	NOUN
cana-276	235	53	(	(	PUNCT
cana-276	235	54	nd	nd	NOUN
cana-276	235	55	-	-	PUNCT
cana-276	235	56	ann	ann	NOUN
cana-276	235	57	)	)	PUNCT
cana-276	235	58	achieved	achieve	VERB
cana-276	235	59	an	an	DET
cana-276	235	60	outstanding	outstanding	ADJ
cana-276	235	61	accuracy	accuracy	NOUN
cana-276	235	62	rate	rate	NOUN
cana-276	235	63	of	of	ADP
cana-276	235	64	96.2	96.2	NUM
cana-276	235	65	%	%	NOUN
cana-276	235	66	,	,	PUNCT
cana-276	235	67	as	as	SCONJ
cana-276	235	68	shown	show	VERB
cana-276	235	69	in	in	ADP
cana-276	235	70	figure	figure	NOUN
cana-276	235	71	4(a	4(a	NUM
cana-276	235	72	)	)	PUNCT
cana-276	235	73	of	of	ADP
cana-276	235	74	the	the	DET
cana-276	235	75	precision	precision	NOUN
cana-276	235	76	analysis	analysis	NOUN
cana-276	235	77	.	.	PUNCT
cana-276	236	1	on	on	ADP
cana-276	236	2	the	the	DET
cana-276	236	3	other	other	ADJ
cana-276	236	4	hand	hand	NOUN
cana-276	236	5	,	,	PUNCT
cana-276	236	6	nd	nd	NOUN
cana-276	236	7	-	-	PUNCT
cana-276	236	8	ann	ann	PROPN
cana-276	236	9	achieves	achieve	VERB
cana-276	236	10	a	a	DET
cana-276	236	11	rate	rate	NOUN
cana-276	236	12	of	of	ADP
cana-276	236	13	93.5	93.5	NUM
cana-276	236	14	%	%	NOUN
cana-276	236	15	in	in	ADP
cana-276	236	16	precision	precision	NOUN
cana-276	236	17	analysis	analysis	NOUN
cana-276	236	18	,	,	PUNCT
cana-276	236	19	surpassing	surpass	VERB
cana-276	236	20	the	the	DET
cana-276	236	21	high	high	ADJ
cana-276	236	22	-	-	PUNCT
cana-276	236	23	level	level	NOUN
cana-276	236	24	algorithm	algorithm	NOUN
cana-276	236	25	(	(	PUNCT
cana-276	236	26	hla	hla	PROPN
cana-276	236	27	)	)	PUNCT
cana-276	236	28	,	,	PUNCT
cana-276	236	29	as	as	SCONJ
cana-276	236	30	shown	show	VERB
cana-276	236	31	in	in	ADP
cana-276	236	32	figure	figure	NOUN
cana-276	236	33	4(b	4(b	NUM
cana-276	236	34	)	)	PUNCT
cana-276	236	35	.	.	PUNCT
cana-276	237	1	these	these	DET
cana-276	237	2	outcomes	outcome	NOUN
cana-276	237	3	demonstrate	demonstrate	VERB
cana-276	237	4	that	that	SCONJ
cana-276	237	5	the	the	DET
cana-276	237	6	suggested	suggest	VERB
cana-276	237	7	nd	nd	NOUN
cana-276	237	8	-	-	PUNCT
cana-276	237	9	ann	ann	PROPN
cana-276	237	10	provides	provide	VERB
cana-276	237	11	more	more	ADV
cana-276	237	12	accurate	accurate	ADJ
cana-276	237	13	findings	finding	NOUN
cana-276	237	14	,	,	PUNCT
cana-276	237	15	establishing	establish	VERB
cana-276	237	16	it	it	PRON
cana-276	237	17	as	as	ADP
cana-276	237	18	a	a	DET
cana-276	237	19	solid	solid	ADJ
cana-276	237	20	and	and	CCONJ
cana-276	237	21	trustworthy	trustworthy	ADJ
cana-276	237	22	technique	technique	NOUN
cana-276	237	23	.	.	PUNCT
cana-276	238	1	figure	figure	NOUN
cana-276	238	2	5(a	5(a	NUM
cana-276	238	3	):	):	PUNCT
cana-276	238	4	accuracy	accuracy	NOUN
cana-276	238	5	analysis	analysis	NOUN
cana-276	238	6	is	be	AUX
cana-276	238	7	compared	compare	VERB
cana-276	238	8	with	with	ADP
cana-276	238	9	nd	nd	NOUN
cana-276	238	10	-	-	PUNCT
cana-276	238	11	ann	ann	ADJ
cana-276	238	12	figure	figure	NOUN
cana-276	238	13	5(b	5(b	NUM
cana-276	238	14	):	):	PUNCT
cana-276	238	15	accuracy	accuracy	NOUN
cana-276	238	16	analysis	analysis	NOUN
cana-276	238	17	is	be	AUX
cana-276	238	18	compared	compare	VERB
cana-276	238	19	with	with	ADP
cana-276	238	20	hla	hla	PROPN
cana-276	238	21	in	in	ADP
cana-276	238	22	the	the	DET
cana-276	238	23	field	field	NOUN
cana-276	238	24	of	of	ADP
cana-276	238	25	pattern	pattern	NOUN
cana-276	238	26	recognition	recognition	NOUN
cana-276	238	27	,	,	PUNCT
cana-276	238	28	the	the	DET
cana-276	238	29	accuracy	accuracy	NOUN
cana-276	238	30	analysis	analysis	NOUN
cana-276	238	31	of	of	ADP
cana-276	238	32	the	the	DET
cana-276	238	33	nonlinear	nonlinear	ADJ
cana-276	238	34	dynamics	dynamic	NOUN
cana-276	238	35	-	-	PUNCT
cana-276	238	36	driven	drive	VERB
cana-276	238	37	adaptive	adaptive	ADJ
cana-276	238	38	neural	neural	ADJ
cana-276	238	39	network	network	NOUN
cana-276	238	40	(	(	PUNCT
cana-276	238	41	ndann	ndann	NOUN
cana-276	238	42	)	)	PUNCT
cana-276	238	43	highlights	highlight	VERB
cana-276	238	44	its	its	PRON
cana-276	238	45	impressive	impressive	ADJ
cana-276	238	46	performance	performance	NOUN
cana-276	238	47	in	in	ADP
cana-276	238	48	accurately	accurately	ADV
cana-276	238	49	identifying	identify	VERB
cana-276	238	50	occurrences	occurrence	NOUN
cana-276	238	51	across	across	ADP
cana-276	238	52	various	various	ADJ
cana-276	238	53	datasets	dataset	NOUN
cana-276	238	54	.	.	PUNCT
cana-276	239	1	an	an	DET
cana-276	239	2	essential	essential	ADJ
cana-276	239	3	measure	measure	NOUN
cana-276	239	4	,	,	PUNCT
cana-276	239	5	accuracy	accuracy	NOUN
cana-276	239	6	assesses	assesse	NOUN
cana-276	239	7	how	how	SCONJ
cana-276	239	8	well	well	ADV
cana-276	239	9	the	the	DET
cana-276	239	10	model	model	NOUN
cana-276	239	11	predicts	predict	VERB
cana-276	239	12	outcomes	outcome	NOUN
cana-276	239	13	on	on	ADP
cana-276	239	14	the	the	DET
cana-276	239	15	whole	whole	NOUN
cana-276	239	16	.	.	PUNCT
cana-276	240	1	by	by	ADP
cana-276	240	2	analysing	analyse	VERB
cana-276	240	3	its	its	PRON
cana-276	240	4	accuracy	accuracy	NOUN
cana-276	240	5	,	,	PUNCT
cana-276	240	6	one	one	PRON
cana-276	240	7	can	can	AUX
cana-276	240	8	see	see	VERB
cana-276	240	9	that	that	SCONJ
cana-276	240	10	ndann	ndann	PROPN
cana-276	240	11	is	be	AUX
cana-276	240	12	quite	quite	ADV
cana-276	240	13	good	good	ADJ
cana-276	240	14	at	at	ADP
cana-276	240	15	identifying	identify	VERB
cana-276	240	16	and	and	CCONJ
cana-276	240	17	classifying	classify	VERB
cana-276	240	18	patterns	pattern	NOUN
cana-276	240	19	,	,	PUNCT
cana-276	240	20	as	as	SCONJ
cana-276	240	21	it	it	PRON
cana-276	240	22	achieves	achieve	VERB
cana-276	240	23	a	a	DET
cana-276	240	24	high	high	ADJ
cana-276	240	25	percentage	percentage	NOUN
cana-276	240	26	of	of	ADP
cana-276	240	27	right	right	ADJ
cana-276	240	28	classifications	classification	NOUN
cana-276	240	29	.	.	PUNCT
cana-276	241	1	to	to	PART
cana-276	241	2	provide	provide	VERB
cana-276	241	3	robust	robust	ADJ
cana-276	241	4	learning	learning	NOUN
cana-276	241	5	,	,	PUNCT
cana-276	241	6	generalization	generalization	NOUN
cana-276	241	7	,	,	PUNCT
cana-276	241	8	and	and	CCONJ
cana-276	241	9	adaptability	adaptability	NOUN
cana-276	241	10	to	to	ADP
cana-276	241	11	various	various	ADJ
cana-276	241	12	data	datum	NOUN
cana-276	241	13	features	feature	NOUN
cana-276	241	14	,	,	PUNCT
cana-276	241	15	ndann	ndann	PROPN
cana-276	241	16	's	's	PART
cana-276	241	17	accuracy	accuracy	NOUN
cana-276	241	18	is	be	AUX
cana-276	241	19	enhanced	enhance	VERB
cana-276	241	20	by	by	ADP
cana-276	241	21	combining	combine	VERB
cana-276	241	22	a	a	DET
cana-276	241	23	hybrid	hybrid	ADJ
cana-276	241	24	learning	learning	NOUN
cana-276	241	25	algorithm	algorithm	NOUN
cana-276	241	26	with	with	ADP
cana-276	241	27	an	an	DET
cana-276	241	28	explainability	explainability	NOUN
cana-276	241	29	module	module	NOUN
cana-276	241	30	,	,	PUNCT
cana-276	241	31	ensemble	ensemble	ADJ
cana-276	241	32	integration	integration	NOUN
cana-276	241	33	,	,	PUNCT
cana-276	241	34	regularization	regularization	NOUN
cana-276	241	35	for	for	ADP
cana-276	241	36	stability	stability	NOUN
cana-276	241	37	,	,	PUNCT
cana-276	241	38	and	and	CCONJ
cana-276	241	39	an	an	DET
cana-276	241	40	adaptive	adaptive	ADJ
cana-276	241	41	architecture	architecture	NOUN
cana-276	241	42	.	.	PUNCT
cana-276	242	1	the	the	DET
cana-276	242	2	reliability	reliability	NOUN
cana-276	242	3	of	of	ADP
cana-276	242	4	ndann	ndann	NOUN
cana-276	242	5	in	in	ADP
cana-276	242	6	capturing	capture	VERB
cana-276	242	7	complicated	complicated	ADJ
cana-276	242	8	patterns	pattern	NOUN
cana-276	242	9	within	within	ADP
cana-276	242	10	real	real	ADJ
cana-276	242	11	-	-	PUNCT
cana-276	242	12	world	world	NOUN
cana-276	242	13	data	datum	NOUN
cana-276	242	14	has	have	AUX
cana-276	242	15	been	be	AUX
cana-276	242	16	confirmed	confirm	VERB
cana-276	242	17	by	by	ADP
cana-276	242	18	extensive	extensive	ADJ
cana-276	242	19	simulation	simulation	NOUN
cana-276	242	20	evaluations	evaluation	NOUN
cana-276	242	21	,	,	PUNCT
cana-276	242	22	which	which	PRON
cana-276	242	23	support	support	VERB
cana-276	242	24	its	its	PRON
cana-276	242	25	consistent	consistent	ADJ
cana-276	242	26	and	and	CCONJ
cana-276	242	27	high	high	ADJ
cana-276	242	28	accuracy	accuracy	NOUN
cana-276	242	29	levels	level	NOUN
cana-276	242	30	across	across	ADP
cana-276	242	31	different	different	ADJ
cana-276	242	32	datasets	dataset	NOUN
cana-276	242	33	.	.	PUNCT
cana-276	243	1	medical	medical	ADJ
cana-276	243	2	diagnosis	diagnosis	NOUN
cana-276	243	3	,	,	PUNCT
cana-276	243	4	financial	financial	ADJ
cana-276	243	5	analytics	analytic	NOUN
cana-276	243	6	,	,	PUNCT
cana-276	243	7	and	and	CCONJ
cana-276	243	8	image	image	NOUN
cana-276	243	9	processing	processing	NOUN
cana-276	243	10	are	be	AUX
cana-276	243	11	a	a	DET
cana-276	243	12	few	few	ADJ
cana-276	243	13	examples	example	NOUN
cana-276	243	14	of	of	ADP
cana-276	243	15	the	the	DET
cana-276	243	16	many	many	ADJ
cana-276	243	17	fields	field	NOUN
cana-276	243	18	that	that	PRON
cana-276	243	19	can	can	AUX
cana-276	243	20	greatly	greatly	ADV
cana-276	243	21	benefit	benefit	VERB
cana-276	243	22	from	from	ADP
cana-276	243	23	ndann	ndann	PROPN
cana-276	243	24	's	's	PART
cana-276	243	25	exceptional	exceptional	ADJ
cana-276	243	26	accuracy	accuracy	NOUN
cana-276	243	27	in	in	ADP
cana-276	243	28	pattern	pattern	NOUN
cana-276	243	29	recognition	recognition	NOUN
cana-276	243	30	.	.	PUNCT
cana-276	244	1	based	base	VERB
cana-276	244	2	on	on	ADP
cana-276	244	3	the	the	DET
cana-276	244	4	results	result	NOUN
cana-276	244	5	,	,	PUNCT
cana-276	244	6	ndann	ndann	PROPN
cana-276	244	7	is	be	AUX
cana-276	244	8	a	a	DET
cana-276	244	9	reliable	reliable	ADJ
cana-276	244	10	and	and	CCONJ
cana-276	244	11	accurate	accurate	ADJ
cana-276	244	12	tool	tool	NOUN
cana-276	244	13	for	for	ADP
cana-276	244	14	many	many	ADJ
cana-276	244	15	different	different	ADJ
cana-276	244	16	kinds	kind	NOUN
cana-276	244	17	of	of	ADP
cana-276	244	18	applications	application	NOUN
cana-276	244	19	,	,	PUNCT
cana-276	244	20	and	and	CCONJ
cana-276	244	21	it	it	PRON
cana-276	244	22	has	have	VERB
cana-276	244	23	the	the	DET
cana-276	244	24	ability	ability	NOUN
cana-276	244	25	to	to	PART
cana-276	244	26	greatly	greatly	ADV
cana-276	244	27	develop	develop	VERB
cana-276	244	28	pattern	pattern	NOUN
cana-276	244	29	recognition	recognition	NOUN
cana-276	244	30	technology	technology	NOUN
cana-276	244	31	.	.	PUNCT
cana-276	245	1	lastly	lastly	ADV
cana-276	245	2	,	,	PUNCT
cana-276	245	3	the	the	DET
cana-276	245	4	accuracy	accuracy	NOUN
cana-276	245	5	analysis	analysis	NOUN
cana-276	245	6	highlights	highlight	NOUN
cana-276	245	7	how	how	SCONJ
cana-276	245	8	ndann	ndann	ADJ
cana-276	245	9	is	be	AUX
cana-276	245	10	effective	effective	ADJ
cana-276	245	11	at	at	ADP
cana-276	245	12	getting	get	VERB
cana-276	245	13	accurate	accurate	ADJ
cana-276	245	14	and	and	CCONJ
cana-276	245	15	dependable	dependable	ADJ
cana-276	245	16	pattern	pattern	NOUN
cana-276	245	17	recognition	recognition	NOUN
cana-276	245	18	,	,	PUNCT
cana-276	245	19	which	which	PRON
cana-276	245	20	shows	show	VERB
cana-276	245	21	how	how	SCONJ
cana-276	245	22	it	it	PRON
cana-276	245	23	can	can	AUX
cana-276	245	24	be	be	AUX
cana-276	245	25	used	use	VERB
cana-276	245	26	in	in	ADP
cana-276	245	27	real	real	ADJ
cana-276	245	28	-	-	PUNCT
cana-276	245	29	world	world	NOUN
cana-276	245	30	situations	situation	NOUN
cana-276	245	31	and	and	CCONJ
cana-276	245	32	how	how	SCONJ
cana-276	245	33	it	it	PRON
cana-276	245	34	can	can	AUX
cana-276	245	35	improve	improve	VERB
cana-276	245	36	decision	decision	NOUN
cana-276	245	37	-	-	PUNCT
cana-276	245	38	making	making	NOUN
cana-276	245	39	.	.	PUNCT
cana-276	246	1	the	the	DET
cana-276	246	2	nonlinear	nonlinear	ADJ
cana-276	246	3	dynamicsdriven	dynamicsdriven	VERB
cana-276	246	4	adaptive	adaptive	ADJ
cana-276	246	5	neural	neural	ADJ
cana-276	246	6	network	network	NOUN
cana-276	246	7	(	(	PUNCT
cana-276	246	8	nd	nd	NOUN
cana-276	246	9	-	-	PUNCT
cana-276	246	10	ann	ann	NOUN
cana-276	246	11	)	)	PUNCT
cana-276	246	12	achieved	achieve	VERB
cana-276	246	13	an	an	DET
cana-276	246	14	astounding	astounding	ADJ
cana-276	246	15	98.7	98.7	NUM
cana-276	246	16	%	%	NOUN
cana-276	246	17	accuracy	accuracy	NOUN
cana-276	246	18	,	,	PUNCT
cana-276	246	19	as	as	SCONJ
cana-276	246	20	shown	show	VERB
cana-276	246	21	in	in	ADP
cana-276	246	22	figure	figure	NOUN
cana-276	246	23	5(a	5(a	NUM
cana-276	246	24	)	)	PUNCT
cana-276	246	25	of	of	ADP
cana-276	246	26	the	the	DET
cana-276	246	27	accuracy	accuracy	NOUN
cana-276	246	28	analysis	analysis	NOUN
cana-276	246	29	.	.	PUNCT
cana-276	247	1	on	on	ADP
cana-276	247	2	the	the	DET
cana-276	247	3	other	other	ADJ
cana-276	247	4	hand	hand	NOUN
cana-276	247	5	,	,	PUNCT
cana-276	247	6	nd	nd	NOUN
cana-276	247	7	-	-	PUNCT
cana-276	247	8	ann	ann	PROPN
cana-276	247	9	achieves	achieve	VERB
cana-276	247	10	a	a	DET
cana-276	247	11	rate	rate	NOUN
cana-276	247	12	of	of	ADP
cana-276	247	13	93.4	93.4	NUM
cana-276	247	14	%	%	NOUN
cana-276	247	15	in	in	ADP
cana-276	247	16	accuracy	accuracy	NOUN
cana-276	247	17	analysis	analysis	NOUN
cana-276	247	18	,	,	PUNCT
cana-276	247	19	surpassing	surpass	VERB
cana-276	247	20	the	the	DET
cana-276	247	21	high	high	ADJ
cana-276	247	22	-	-	PUNCT
cana-276	247	23	level	level	NOUN
cana-276	247	24	algorithm	algorithm	NOUN
cana-276	247	25	(	(	PUNCT
cana-276	247	26	hla	hla	PROPN
cana-276	247	27	)	)	PUNCT
cana-276	247	28	,	,	PUNCT
cana-276	247	29	as	as	SCONJ
cana-276	247	30	shown	show	VERB
cana-276	247	31	in	in	ADP
cana-276	247	32	figure	figure	NOUN
cana-276	247	33	5(b	5(b	NUM
cana-276	247	34	)	)	PUNCT
cana-276	247	35	.	.	PUNCT
cana-276	248	1	the	the	DET
cana-276	248	2	results	result	NOUN
cana-276	248	3	show	show	VERB
cana-276	248	4	that	that	SCONJ
cana-276	248	5	the	the	PRON
cana-276	248	6	proposed	propose	VERB
cana-276	248	7	nd	nd	NOUN
cana-276	248	8	-	-	PUNCT
cana-276	248	9	ann	ann	PROPN
cana-276	248	10	is	be	AUX
cana-276	248	11	more	more	ADV
cana-276	248	12	accurate	accurate	ADJ
cana-276	248	13	than	than	ADP
cana-276	248	14	other	other	ADJ
cana-276	248	15	technologies	technology	NOUN
cana-276	248	16	,	,	PUNCT
cana-276	248	17	which	which	PRON
cana-276	248	18	proves	prove	VERB
cana-276	248	19	that	that	SCONJ
cana-276	248	20	it	it	PRON
cana-276	248	21	is	be	AUX
cana-276	248	22	effective	effective	ADJ
cana-276	248	23	.	.	PUNCT
cana-276	249	1	0	0	NUM
cana-276	250	1	50	50	NUM
cana-276	250	2	100	100	NUM
cana-276	250	3	150	150	NUM
cana-276	250	4	200	200	NUM
cana-276	250	5	250	250	NUM
cana-276	250	6	300	300	NUM
cana-276	250	7	350	350	NUM
cana-276	250	8	400	400	NUM
cana-276	250	9	1	1	NUM
cana-276	250	10	0	0	NUM
cana-276	250	11	2	2	NUM
cana-276	250	12	0	0	NUM
cana-276	250	13	3	3	NUM
cana-276	250	14	0	0	NUM
cana-276	250	15	4	4	NUM
cana-276	250	16	0	0	NUM
cana-276	250	17	5	5	NUM
cana-276	250	18	0	0	NUM
cana-276	250	19	6	6	NUM
cana-276	250	20	0	0	NUM
cana-276	250	21	7	7	NUM
cana-276	250	22	0	0	NUM
cana-276	250	23	8	8	NUM
cana-276	250	24	0	0	NUM
cana-276	250	25	9	9	NUM
cana-276	250	26	0	0	NUM
cana-276	250	27	1	1	NUM
cana-276	250	28	0	0	NUM
cana-276	250	29	0	0	NUM
cana-276	250	30	a	a	DET
cana-276	250	31	c	c	NOUN
cana-276	250	32	c	c	NOUN
cana-276	250	33	u	u	NOUN
cana-276	250	34	r	r	NOUN
cana-276	250	35	a	a	NOUN
cana-276	250	36	c	c	NOUN
cana-276	250	37	y	y	PROPN
cana-276	250	38	a	a	PRON
cana-276	250	39	n	n	NOUN
cana-276	250	40	a	a	DET
cana-276	250	41	l	l	NOUN
cana-276	250	42	y	y	NOUN
cana-276	250	43	s	s	PROPN
cana-276	250	44	is	be	AUX
cana-276	250	45	r	r	NOUN
cana-276	250	46	a	a	DET
cana-276	250	47	t	t	NOUN
cana-276	250	48	io	io	X
cana-276	250	49	(	(	PUNCT
cana-276	250	50	%	%	INTJ
cana-276	250	51	)	)	PUNCT
cana-276	250	52	number	number	NOUN
cana-276	250	53	of	of	ADP
cana-276	250	54	samples	sample	NOUN
cana-276	250	55	pr	pr	AUX
cana-276	250	56	ct	ct	PROPN
cana-276	250	57	-	-	PUNCT
cana-276	250	58	ai	ai	PROPN
cana-276	250	59	ftc	ftc	PROPN
cana-276	250	60	rnn	rnn	PROPN
cana-276	250	61	nd	nd	PROPN
cana-276	250	62	-	-	PROPN
cana-276	250	63	ann	ann	PROPN
cana-276	250	64	0	0	NUM
cana-276	250	65	50	50	NUM
cana-276	250	66	100	100	NUM
cana-276	250	67	150	150	NUM
cana-276	250	68	200	200	NUM
cana-276	250	69	250	250	NUM
cana-276	250	70	300	300	NUM
cana-276	250	71	350	350	NUM
cana-276	250	72	400	400	NUM
cana-276	250	73	1	1	NUM
cana-276	250	74	0	0	NUM
cana-276	250	75	2	2	NUM
cana-276	250	76	0	0	NUM
cana-276	250	77	3	3	NUM
cana-276	250	78	0	0	NUM
cana-276	250	79	4	4	NUM
cana-276	250	80	0	0	NUM
cana-276	250	81	5	5	NUM
cana-276	250	82	0	0	NUM
cana-276	250	83	6	6	NUM
cana-276	250	84	0	0	NUM
cana-276	250	85	7	7	NUM
cana-276	250	86	0	0	NUM
cana-276	250	87	8	8	NUM
cana-276	250	88	0	0	NUM
cana-276	250	89	9	9	NUM
cana-276	250	90	0	0	NUM
cana-276	250	91	1	1	NUM
cana-276	250	92	0	0	NUM
cana-276	250	93	0	0	NUM
cana-276	251	1	a	a	DET
cana-276	251	2	c	c	NOUN
cana-276	251	3	c	c	NOUN
cana-276	251	4	u	u	NOUN
cana-276	251	5	r	r	NOUN
cana-276	251	6	a	a	NOUN
cana-276	251	7	c	c	NOUN
cana-276	251	8	y	y	PROPN
cana-276	251	9	a	a	PRON
cana-276	251	10	n	n	NOUN
cana-276	251	11	a	a	DET
cana-276	251	12	l	l	NOUN
cana-276	251	13	y	y	NOUN
cana-276	251	14	s	s	PROPN
cana-276	251	15	is	be	AUX
cana-276	251	16	r	r	NOUN
cana-276	251	17	a	a	DET
cana-276	251	18	t	t	NOUN
cana-276	251	19	io	io	X
cana-276	251	20	(	(	PUNCT
cana-276	251	21	%	%	INTJ
cana-276	251	22	)	)	PUNCT
cana-276	251	23	number	number	NOUN
cana-276	251	24	of	of	ADP
cana-276	251	25	samples	sample	NOUN
cana-276	251	26	pr	pr	X
cana-276	251	27	ct	ct	PROPN
cana-276	251	28	-	-	PUNCT
cana-276	251	29	ai	ai	PROPN
cana-276	251	30	ftc	ftc	PROPN
cana-276	251	31	rnn	rnn	PROPN
cana-276	251	32	hla	hla	PROPN
cana-276	251	33	communications	communication	NOUN
cana-276	251	34	on	on	ADP
cana-276	251	35	applied	apply	VERB
cana-276	251	36	nonlinear	nonlinear	ADJ
cana-276	251	37	analysis	analysis	NOUN
cana-276	251	38	issn	issn	NOUN
cana-276	251	39	:	:	PUNCT
cana-276	251	40	1074	1074	NUM
cana-276	251	41	-	-	PUNCT
cana-276	251	42	133x	133x	NUM
cana-276	251	43	vol	vol	NOUN
cana-276	251	44	30	30	NUM
cana-276	251	45	no	no	NOUN
cana-276	251	46	.	.	NOUN
cana-276	251	47	3	3	NUM
cana-276	251	48	(	(	PUNCT
cana-276	251	49	2023	2023	NUM
cana-276	251	50	)	)	PUNCT
cana-276	251	51	28	28	NUM
cana-276	251	52	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	251	53	figure	figure	NOUN
cana-276	251	54	6(a	6(a	NUM
cana-276	251	55	):	):	PUNCT
cana-276	251	56	recall	recall	NOUN
cana-276	251	57	analysis	analysis	NOUN
cana-276	251	58	is	be	AUX
cana-276	251	59	compared	compare	VERB
cana-276	251	60	with	with	ADP
cana-276	251	61	nd	nd	NOUN
cana-276	251	62	-	-	PUNCT
cana-276	251	63	ann	ann	ADJ
cana-276	251	64	figure	figure	NOUN
cana-276	251	65	6(b	6(b	NUM
cana-276	251	66	):	):	PUNCT
cana-276	251	67	recall	recall	NOUN
cana-276	251	68	analysis	analysis	NOUN
cana-276	251	69	is	be	AUX
cana-276	251	70	compared	compare	VERB
cana-276	251	71	with	with	ADP
cana-276	251	72	hla	hla	PROPN
cana-276	251	73	in	in	ADP
cana-276	251	74	the	the	DET
cana-276	251	75	field	field	NOUN
cana-276	251	76	of	of	ADP
cana-276	251	77	pattern	pattern	NOUN
cana-276	251	78	recognition	recognition	NOUN
cana-276	251	79	,	,	PUNCT
cana-276	251	80	the	the	DET
cana-276	251	81	recall	recall	NOUN
cana-276	251	82	study	study	NOUN
cana-276	251	83	of	of	ADP
cana-276	251	84	the	the	DET
cana-276	251	85	nonlinear	nonlinear	ADJ
cana-276	251	86	dynamics	dynamic	NOUN
cana-276	251	87	-	-	PUNCT
cana-276	251	88	driven	drive	VERB
cana-276	251	89	adaptive	adaptive	ADJ
cana-276	251	90	neural	neural	ADJ
cana-276	251	91	network	network	NOUN
cana-276	251	92	(	(	PUNCT
cana-276	251	93	ndann	ndann	NOUN
cana-276	251	94	)	)	PUNCT
cana-276	251	95	reveals	reveal	VERB
cana-276	251	96	its	its	PRON
cana-276	251	97	remarkable	remarkable	ADJ
cana-276	251	98	capacity	capacity	NOUN
cana-276	251	99	to	to	PART
cana-276	251	100	discover	discover	VERB
cana-276	251	101	and	and	CCONJ
cana-276	251	102	retrieve	retrieve	VERB
cana-276	251	103	pertinent	pertinent	ADJ
cana-276	251	104	examples	example	NOUN
cana-276	251	105	from	from	ADP
cana-276	251	106	intricate	intricate	ADJ
cana-276	251	107	datasets	dataset	NOUN
cana-276	251	108	.	.	PUNCT
cana-276	252	1	an	an	DET
cana-276	252	2	important	important	ADJ
cana-276	252	3	indicator	indicator	NOUN
cana-276	252	4	of	of	ADP
cana-276	252	5	performance	performance	NOUN
cana-276	252	6	,	,	PUNCT
cana-276	252	7	recall	recall	NOUN
cana-276	252	8	finds	find	VERB
cana-276	252	9	out	out	ADP
cana-276	252	10	what	what	PRON
cana-276	252	11	percentage	percentage	NOUN
cana-276	252	12	of	of	ADP
cana-276	252	13	true	true	ADJ
cana-276	252	14	positives	positive	NOUN
cana-276	252	15	the	the	DET
cana-276	252	16	model	model	NOUN
cana-276	252	17	got	get	VERB
cana-276	252	18	right	right	ADJ
cana-276	252	19	.	.	PUNCT
cana-276	253	1	ndann	ndann	PROPN
cana-276	253	2	's	's	PART
cana-276	253	3	ability	ability	NOUN
cana-276	253	4	to	to	PART
cana-276	253	5	discover	discover	VERB
cana-276	253	6	patterns	pattern	NOUN
cana-276	253	7	of	of	ADP
cana-276	253	8	interest	interest	NOUN
cana-276	253	9	is	be	AUX
cana-276	253	10	demonstrated	demonstrate	VERB
cana-276	253	11	by	by	ADP
cana-276	253	12	its	its	PRON
cana-276	253	13	recall	recall	NOUN
cana-276	253	14	analysis	analysis	NOUN
cana-276	253	15	,	,	PUNCT
cana-276	253	16	which	which	PRON
cana-276	253	17	demonstrates	demonstrate	VERB
cana-276	253	18	its	its	PRON
cana-276	253	19	sensitivity	sensitivity	NOUN
cana-276	253	20	to	to	ADP
cana-276	253	21	positive	positive	ADJ
cana-276	253	22	instances	instance	NOUN
cana-276	253	23	.	.	PUNCT
cana-276	254	1	to	to	PART
cana-276	254	2	achieve	achieve	VERB
cana-276	254	3	its	its	PRON
cana-276	254	4	high	high	ADJ
cana-276	254	5	recall	recall	NOUN
cana-276	254	6	rates	rate	NOUN
cana-276	254	7	,	,	PUNCT
cana-276	254	8	ndann	ndann	PROPN
cana-276	254	9	combines	combine	VERB
cana-276	254	10	a	a	DET
cana-276	254	11	hybrid	hybrid	ADJ
cana-276	254	12	learning	learning	NOUN
cana-276	254	13	algorithm	algorithm	NOUN
cana-276	254	14	,	,	PUNCT
cana-276	254	15	an	an	DET
cana-276	254	16	explainability	explainability	NOUN
cana-276	254	17	module	module	NOUN
cana-276	254	18	,	,	PUNCT
cana-276	254	19	ensemble	ensemble	ADJ
cana-276	254	20	integration	integration	NOUN
cana-276	254	21	,	,	PUNCT
cana-276	254	22	regularization	regularization	NOUN
cana-276	254	23	for	for	ADP
cana-276	254	24	stability	stability	NOUN
cana-276	254	25	,	,	PUNCT
cana-276	254	26	and	and	CCONJ
cana-276	254	27	an	an	DET
cana-276	254	28	adaptive	adaptive	ADJ
cana-276	254	29	architecture	architecture	NOUN
cana-276	254	30	.	.	PUNCT
cana-276	255	1	these	these	DET
cana-276	255	2	features	feature	NOUN
cana-276	255	3	work	work	VERB
cana-276	255	4	together	together	ADV
cana-276	255	5	to	to	PART
cana-276	255	6	improve	improve	VERB
cana-276	255	7	the	the	DET
cana-276	255	8	algorithm	algorithm	NOUN
cana-276	255	9	's	's	PART
cana-276	255	10	ability	ability	NOUN
cana-276	255	11	to	to	PART
cana-276	255	12	identify	identify	VERB
cana-276	255	13	true	true	ADJ
cana-276	255	14	positive	positive	ADJ
cana-276	255	15	instances	instance	NOUN
cana-276	255	16	while	while	SCONJ
cana-276	255	17	minimizing	minimize	VERB
cana-276	255	18	the	the	DET
cana-276	255	19	likelihood	likelihood	NOUN
cana-276	255	20	of	of	ADP
cana-276	255	21	false	false	ADJ
cana-276	255	22	negatives	negative	NOUN
cana-276	255	23	.	.	PUNCT
cana-276	256	1	robust	robust	ADJ
cana-276	256	2	recall	recall	NOUN
cana-276	256	3	is	be	AUX
cana-276	256	4	regularly	regularly	ADV
cana-276	256	5	demonstrated	demonstrate	VERB
cana-276	256	6	by	by	ADP
cana-276	256	7	ndann	ndann	PROPN
cana-276	256	8	through	through	ADP
cana-276	256	9	comprehensive	comprehensive	ADJ
cana-276	256	10	simulation	simulation	NOUN
cana-276	256	11	evaluations	evaluation	NOUN
cana-276	256	12	across	across	ADP
cana-276	256	13	diverse	diverse	ADJ
cana-276	256	14	datasets	dataset	NOUN
cana-276	256	15	,	,	PUNCT
cana-276	256	16	showing	show	VERB
cana-276	256	17	its	its	PRON
cana-276	256	18	ability	ability	NOUN
cana-276	256	19	in	in	ADP
cana-276	256	20	reliably	reliably	ADV
cana-276	256	21	capturing	capture	VERB
cana-276	256	22	a	a	DET
cana-276	256	23	major	major	ADJ
cana-276	256	24	fraction	fraction	NOUN
cana-276	256	25	of	of	ADP
cana-276	256	26	positive	positive	ADJ
cana-276	256	27	cases	case	NOUN
cana-276	256	28	.	.	PUNCT
cana-276	257	1	the	the	DET
cana-276	257	2	memory	memory	NOUN
cana-276	257	3	analysis	analysis	NOUN
cana-276	257	4	highlights	highlight	VERB
cana-276	257	5	the	the	DET
cana-276	257	6	usefulness	usefulness	NOUN
cana-276	257	7	of	of	ADP
cana-276	257	8	ndann	ndann	NOUN
cana-276	257	9	in	in	ADP
cana-276	257	10	medical	medical	ADJ
cana-276	257	11	diagnostics	diagnostic	NOUN
cana-276	257	12	,	,	PUNCT
cana-276	257	13	anomaly	anomaly	NOUN
cana-276	257	14	detection	detection	NOUN
cana-276	257	15	,	,	PUNCT
cana-276	257	16	and	and	CCONJ
cana-276	257	17	surveillance	surveillance	NOUN
cana-276	257	18	systems	system	NOUN
cana-276	257	19	,	,	PUNCT
cana-276	257	20	among	among	ADP
cana-276	257	21	other	other	ADJ
cana-276	257	22	areas	area	NOUN
cana-276	257	23	where	where	SCONJ
cana-276	257	24	pattern	pattern	NOUN
cana-276	257	25	comprehensiveness	comprehensiveness	NOUN
cana-276	257	26	is	be	AUX
cana-276	257	27	critical	critical	ADJ
cana-276	257	28	.	.	PUNCT
cana-276	258	1	the	the	DET
cana-276	258	2	model	model	NOUN
cana-276	258	3	is	be	AUX
cana-276	258	4	highly	highly	ADV
cana-276	258	5	effective	effective	ADJ
cana-276	258	6	at	at	ADP
cana-276	258	7	identifying	identify	VERB
cana-276	258	8	relevant	relevant	ADJ
cana-276	258	9	instances	instance	NOUN
cana-276	258	10	,	,	PUNCT
cana-276	258	11	making	make	VERB
cana-276	258	12	it	it	PRON
cana-276	258	13	a	a	DET
cana-276	258	14	helpful	helpful	ADJ
cana-276	258	15	tool	tool	NOUN
cana-276	258	16	for	for	ADP
cana-276	258	17	applications	application	NOUN
cana-276	258	18	that	that	PRON
cana-276	258	19	require	require	VERB
cana-276	258	20	a	a	DET
cana-276	258	21	high	high	ADJ
cana-276	258	22	level	level	NOUN
cana-276	258	23	of	of	ADP
cana-276	258	24	pattern	pattern	NOUN
cana-276	258	25	recognition	recognition	NOUN
cana-276	258	26	in	in	ADP
cana-276	258	27	complex	complex	ADJ
cana-276	258	28	and	and	CCONJ
cana-276	258	29	ever	ever	ADV
cana-276	258	30	-	-	PUNCT
cana-276	258	31	changing	change	VERB
cana-276	258	32	datasets	dataset	NOUN
cana-276	258	33	.	.	PUNCT
cana-276	259	1	ultimately	ultimately	ADV
cana-276	259	2	,	,	PUNCT
cana-276	259	3	the	the	DET
cana-276	259	4	recall	recall	NOUN
cana-276	259	5	analysis	analysis	NOUN
cana-276	259	6	confirms	confirm	VERB
cana-276	259	7	that	that	SCONJ
cana-276	259	8	ndann	ndann	PROPN
cana-276	259	9	is	be	AUX
cana-276	259	10	capable	capable	ADJ
cana-276	259	11	of	of	ADP
cana-276	259	12	accomplishing	accomplish	VERB
cana-276	259	13	thorough	thorough	ADJ
cana-276	259	14	and	and	CCONJ
cana-276	259	15	trustworthy	trustworthy	ADJ
cana-276	259	16	pattern	pattern	NOUN
cana-276	259	17	recognition	recognition	NOUN
cana-276	259	18	,	,	PUNCT
cana-276	259	19	highlighting	highlight	VERB
cana-276	259	20	its	its	PRON
cana-276	259	21	real	real	ADJ
cana-276	259	22	-	-	PUNCT
cana-276	259	23	world	world	NOUN
cana-276	259	24	importance	importance	NOUN
cana-276	259	25	and	and	CCONJ
cana-276	259	26	its	its	PRON
cana-276	259	27	capacity	capacity	NOUN
cana-276	259	28	to	to	PART
cana-276	259	29	make	make	VERB
cana-276	259	30	substantial	substantial	ADJ
cana-276	259	31	contributions	contribution	NOUN
cana-276	259	32	to	to	ADP
cana-276	259	33	improvements	improvement	NOUN
cana-276	259	34	in	in	ADP
cana-276	259	35	several	several	ADJ
cana-276	259	36	fields	field	NOUN
cana-276	259	37	where	where	SCONJ
cana-276	259	38	recall	recall	NOUN
cana-276	259	39	precision	precision	NOUN
cana-276	259	40	is	be	AUX
cana-276	259	41	critical	critical	ADJ
cana-276	259	42	.	.	PUNCT
cana-276	260	1	the	the	DET
cana-276	260	2	nonlinear	nonlinear	ADJ
cana-276	260	3	dynamics	dynamic	NOUN
cana-276	260	4	-	-	PUNCT
cana-276	260	5	driven	drive	VERB
cana-276	260	6	adaptive	adaptive	ADJ
cana-276	260	7	neural	neural	ADJ
cana-276	260	8	network	network	NOUN
cana-276	260	9	(	(	PUNCT
cana-276	260	10	ndann	ndann	PROPN
cana-276	260	11	)	)	PUNCT
cana-276	260	12	achieved	achieve	VERB
cana-276	260	13	an	an	DET
cana-276	260	14	impressive	impressive	ADJ
cana-276	260	15	recall	recall	NOUN
cana-276	260	16	rate	rate	NOUN
cana-276	260	17	of	of	ADP
cana-276	260	18	96.3	96.3	NUM
cana-276	260	19	%	%	NOUN
cana-276	260	20	,	,	PUNCT
cana-276	260	21	as	as	SCONJ
cana-276	260	22	shown	show	VERB
cana-276	260	23	in	in	ADP
cana-276	260	24	figure	figure	NOUN
cana-276	260	25	6(a	6(a	NUM
cana-276	260	26	)	)	PUNCT
cana-276	260	27	of	of	ADP
cana-276	260	28	the	the	DET
cana-276	260	29	recall	recall	NOUN
cana-276	260	30	analysis	analysis	NOUN
cana-276	260	31	,	,	PUNCT
cana-276	260	32	highlighting	highlight	VERB
cana-276	260	33	its	its	PRON
cana-276	260	34	remarkable	remarkable	ADJ
cana-276	260	35	performance	performance	NOUN
cana-276	260	36	.	.	PUNCT
cana-276	261	1	on	on	ADP
cana-276	261	2	the	the	DET
cana-276	261	3	other	other	ADJ
cana-276	261	4	hand	hand	NOUN
cana-276	261	5	,	,	PUNCT
cana-276	261	6	nd	nd	NOUN
cana-276	261	7	-	-	PUNCT
cana-276	261	8	ann	ann	PROPN
cana-276	261	9	achieves	achieve	VERB
cana-276	261	10	a	a	DET
cana-276	261	11	rate	rate	NOUN
cana-276	261	12	of	of	ADP
cana-276	261	13	87.3	87.3	NUM
cana-276	261	14	%	%	NOUN
cana-276	261	15	in	in	ADP
cana-276	261	16	recall	recall	NOUN
cana-276	261	17	analysis	analysis	NOUN
cana-276	261	18	,	,	PUNCT
cana-276	261	19	surpassing	surpass	VERB
cana-276	261	20	the	the	DET
cana-276	261	21	high	high	ADJ
cana-276	261	22	-	-	PUNCT
cana-276	261	23	level	level	NOUN
cana-276	261	24	algorithm	algorithm	NOUN
cana-276	261	25	(	(	PUNCT
cana-276	261	26	hla	hla	PROPN
cana-276	261	27	)	)	PUNCT
cana-276	261	28	,	,	PUNCT
cana-276	261	29	as	as	SCONJ
cana-276	261	30	shown	show	VERB
cana-276	261	31	in	in	ADP
cana-276	261	32	figure	figure	NOUN
cana-276	261	33	6(b	6(b	NUM
cana-276	261	34	)	)	PUNCT
cana-276	261	35	.	.	PUNCT
cana-276	262	1	when	when	SCONJ
cana-276	262	2	compared	compare	VERB
cana-276	262	3	to	to	ADP
cana-276	262	4	the	the	DET
cana-276	262	5	current	current	ADJ
cana-276	262	6	high	high	ADJ
cana-276	262	7	-	-	PUNCT
cana-276	262	8	level	level	NOUN
cana-276	262	9	algorithm	algorithm	NOUN
cana-276	262	10	,	,	PUNCT
cana-276	262	11	these	these	DET
cana-276	262	12	results	result	NOUN
cana-276	262	13	demonstrate	demonstrate	VERB
cana-276	262	14	how	how	SCONJ
cana-276	262	15	successful	successful	ADJ
cana-276	262	16	the	the	DET
cana-276	262	17	suggested	suggest	VERB
cana-276	262	18	nd	nd	NOUN
cana-276	262	19	-	-	PUNCT
cana-276	262	20	ann	ann	PROPN
cana-276	262	21	is	be	AUX
cana-276	262	22	due	due	ADJ
cana-276	262	23	to	to	ADP
cana-276	262	24	its	its	PRON
cana-276	262	25	higher	high	ADJ
cana-276	262	26	recall	recall	NOUN
cana-276	262	27	capabilities	capability	NOUN
cana-276	262	28	.	.	PUNCT
cana-276	263	1	0	0	NUM
cana-276	263	2	50	50	NUM
cana-276	263	3	100	100	NUM
cana-276	263	4	150	150	NUM
cana-276	263	5	200	200	NUM
cana-276	263	6	250	250	NUM
cana-276	263	7	300	300	NUM
cana-276	263	8	350	350	NUM
cana-276	263	9	400	400	NUM
cana-276	263	10	1	1	NUM
cana-276	263	11	0	0	NUM
cana-276	263	12	2	2	NUM
cana-276	263	13	0	0	NUM
cana-276	263	14	3	3	NUM
cana-276	263	15	0	0	NUM
cana-276	263	16	4	4	NUM
cana-276	263	17	0	0	NUM
cana-276	263	18	5	5	NUM
cana-276	263	19	0	0	NUM
cana-276	263	20	6	6	NUM
cana-276	263	21	0	0	NUM
cana-276	263	22	7	7	NUM
cana-276	263	23	0	0	NUM
cana-276	263	24	8	8	NUM
cana-276	263	25	0	0	NUM
cana-276	263	26	9	9	NUM
cana-276	263	27	0	0	NUM
cana-276	263	28	1	1	NUM
cana-276	263	29	0	0	NUM
cana-276	263	30	0	0	NUM
cana-276	263	31	r	r	NOUN
cana-276	263	32	e	e	NOUN
cana-276	263	33	c	c	NOUN
cana-276	263	34	a	a	DET
cana-276	263	35	l	l	NOUN
cana-276	263	36	l	l	NOUN
cana-276	263	37	a	a	PRON
cana-276	263	38	n	n	CCONJ
cana-276	263	39	a	a	DET
cana-276	263	40	l	l	NOUN
cana-276	263	41	y	y	NOUN
cana-276	263	42	s	s	PROPN
cana-276	263	43	is	be	AUX
cana-276	263	44	r	r	NOUN
cana-276	263	45	a	a	DET
cana-276	263	46	t	t	NOUN
cana-276	263	47	io	io	X
cana-276	263	48	(	(	PUNCT
cana-276	263	49	%	%	INTJ
cana-276	263	50	)	)	PUNCT
cana-276	263	51	number	number	NOUN
cana-276	263	52	of	of	ADP
cana-276	263	53	samples	sample	NOUN
cana-276	263	54	pr	pr	AUX
cana-276	263	55	ct	ct	PROPN
cana-276	263	56	-	-	PUNCT
cana-276	263	57	ai	ai	PROPN
cana-276	263	58	ftc	ftc	PROPN
cana-276	263	59	rnn	rnn	PROPN
cana-276	263	60	nd	nd	PROPN
cana-276	263	61	-	-	PROPN
cana-276	263	62	ann	ann	PROPN
cana-276	263	63	0	0	NUM
cana-276	263	64	50	50	NUM
cana-276	263	65	100	100	NUM
cana-276	263	66	150	150	NUM
cana-276	263	67	200	200	NUM
cana-276	263	68	250	250	NUM
cana-276	263	69	300	300	NUM
cana-276	263	70	350	350	NUM
cana-276	263	71	400	400	NUM
cana-276	263	72	450	450	NUM
cana-276	263	73	1	1	NUM
cana-276	263	74	0	0	NUM
cana-276	263	75	2	2	NUM
cana-276	263	76	0	0	NUM
cana-276	263	77	3	3	NUM
cana-276	263	78	0	0	NUM
cana-276	263	79	4	4	NUM
cana-276	263	80	0	0	NUM
cana-276	263	81	5	5	NUM
cana-276	263	82	0	0	NUM
cana-276	263	83	6	6	NUM
cana-276	263	84	0	0	NUM
cana-276	263	85	7	7	NUM
cana-276	263	86	0	0	NUM
cana-276	263	87	8	8	NUM
cana-276	263	88	0	0	NUM
cana-276	263	89	9	9	NUM
cana-276	263	90	0	0	NUM
cana-276	263	91	1	1	NUM
cana-276	263	92	0	0	NUM
cana-276	263	93	0	0	NUM
cana-276	264	1	r	r	NOUN
cana-276	264	2	e	e	NOUN
cana-276	264	3	c	c	NOUN
cana-276	264	4	a	a	DET
cana-276	264	5	l	l	NOUN
cana-276	264	6	l	l	NOUN
cana-276	264	7	a	a	PRON
cana-276	264	8	n	n	CCONJ
cana-276	264	9	a	a	DET
cana-276	264	10	l	l	NOUN
cana-276	264	11	y	y	NOUN
cana-276	264	12	s	s	PROPN
cana-276	264	13	is	be	AUX
cana-276	264	14	r	r	NOUN
cana-276	264	15	a	a	DET
cana-276	264	16	t	t	NOUN
cana-276	264	17	io	io	X
cana-276	264	18	(	(	PUNCT
cana-276	264	19	%	%	INTJ
cana-276	264	20	)	)	PUNCT
cana-276	264	21	number	number	NOUN
cana-276	264	22	of	of	ADP
cana-276	264	23	samples	sample	NOUN
cana-276	264	24	pr	pr	X
cana-276	264	25	ct	ct	PROPN
cana-276	264	26	-	-	PUNCT
cana-276	264	27	ai	ai	PROPN
cana-276	264	28	ftc	ftc	PROPN
cana-276	264	29	rnn	rnn	PROPN
cana-276	264	30	hla	hla	PROPN
cana-276	264	31	communications	communication	NOUN
cana-276	264	32	on	on	ADP
cana-276	264	33	applied	apply	VERB
cana-276	264	34	nonlinear	nonlinear	ADJ
cana-276	264	35	analysis	analysis	NOUN
cana-276	264	36	issn	issn	NOUN
cana-276	264	37	:	:	PUNCT
cana-276	264	38	1074	1074	NUM
cana-276	264	39	-	-	PUNCT
cana-276	264	40	133x	133x	NUM
cana-276	264	41	vol	vol	NOUN
cana-276	264	42	30	30	NUM
cana-276	264	43	no	no	NOUN
cana-276	264	44	.	.	NOUN
cana-276	264	45	3	3	NUM
cana-276	264	46	(	(	PUNCT
cana-276	264	47	2023	2023	NUM
cana-276	264	48	)	)	PUNCT
cana-276	264	49	29	29	NUM
cana-276	265	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	265	2	figure	figure	NOUN
cana-276	265	3	7(a	7(a	NUM
cana-276	265	4	):	):	PUNCT
cana-276	265	5	f1	f1	NOUN
cana-276	265	6	score	score	NOUN
cana-276	265	7	analysis	analysis	NOUN
cana-276	265	8	is	be	AUX
cana-276	265	9	compared	compare	VERB
cana-276	265	10	with	with	ADP
cana-276	265	11	nd	nd	NOUN
cana-276	265	12	-	-	PUNCT
cana-276	265	13	ann	ann	ADJ
cana-276	265	14	figure	figure	NOUN
cana-276	265	15	7(b	7(b	NOUN
cana-276	265	16	):	):	PUNCT
cana-276	265	17	f1	f1	ADJ
cana-276	265	18	score	score	NOUN
cana-276	265	19	analysis	analysis	NOUN
cana-276	265	20	is	be	AUX
cana-276	265	21	compared	compare	VERB
cana-276	265	22	with	with	ADP
cana-276	265	23	hla	hla	PROPN
cana-276	265	24	when	when	SCONJ
cana-276	265	25	applied	apply	VERB
cana-276	265	26	to	to	ADP
cana-276	265	27	pattern	pattern	NOUN
cana-276	265	28	recognition	recognition	NOUN
cana-276	265	29	,	,	PUNCT
cana-276	265	30	the	the	DET
cana-276	265	31	f1	f1	PROPN
cana-276	265	32	score	score	NOUN
cana-276	265	33	analysis	analysis	NOUN
cana-276	265	34	of	of	ADP
cana-276	265	35	the	the	DET
cana-276	265	36	nonlinear	nonlinear	ADJ
cana-276	265	37	dynamics	dynamic	NOUN
cana-276	265	38	-	-	PUNCT
cana-276	265	39	driven	drive	VERB
cana-276	265	40	adaptive	adaptive	ADJ
cana-276	265	41	neural	neural	ADJ
cana-276	265	42	network	network	NOUN
cana-276	265	43	(	(	PUNCT
cana-276	265	44	ndann	ndann	NOUN
cana-276	265	45	)	)	PUNCT
cana-276	265	46	assesses	assess	VERB
cana-276	265	47	how	how	SCONJ
cana-276	265	48	well	well	ADV
cana-276	265	49	it	it	PRON
cana-276	265	50	strikes	strike	VERB
cana-276	265	51	a	a	DET
cana-276	265	52	balance	balance	NOUN
cana-276	265	53	between	between	ADP
cana-276	265	54	the	the	DET
cana-276	265	55	two	two	NUM
cana-276	265	56	critical	critical	ADJ
cana-276	265	57	performance	performance	NOUN
cana-276	265	58	metrics	metric	NOUN
cana-276	265	59	of	of	ADP
cana-276	265	60	accuracy	accuracy	NOUN
cana-276	265	61	and	and	CCONJ
cana-276	265	62	recall	recall	NOUN
cana-276	265	63	.	.	PUNCT
cana-276	266	1	by	by	ADP
cana-276	266	2	taking	take	VERB
cana-276	266	3	precision	precision	NOUN
cana-276	266	4	and	and	CCONJ
cana-276	266	5	recall	recall	VERB
cana-276	266	6	into	into	ADP
cana-276	266	7	account	account	NOUN
cana-276	266	8	,	,	PUNCT
cana-276	266	9	the	the	DET
cana-276	266	10	f1	f1	PROPN
cana-276	266	11	score	score	NOUN
cana-276	266	12	provides	provide	VERB
cana-276	266	13	a	a	DET
cana-276	266	14	strong	strong	ADJ
cana-276	266	15	indication	indication	NOUN
cana-276	266	16	of	of	ADP
cana-276	266	17	the	the	DET
cana-276	266	18	model	model	NOUN
cana-276	266	19	's	's	PART
cana-276	266	20	capacity	capacity	NOUN
cana-276	266	21	to	to	PART
cana-276	266	22	reduce	reduce	VERB
cana-276	266	23	false	false	ADJ
cana-276	266	24	positives	positive	NOUN
cana-276	266	25	and	and	CCONJ
cana-276	266	26	false	false	ADJ
cana-276	266	27	negatives	negative	NOUN
cana-276	266	28	at	at	ADP
cana-276	266	29	the	the	DET
cana-276	266	30	same	same	ADJ
cana-276	266	31	time	time	NOUN
cana-276	266	32	.	.	PUNCT
cana-276	267	1	by	by	ADP
cana-276	267	2	analyzing	analyze	VERB
cana-276	267	3	its	its	PRON
cana-276	267	4	f1	f1	NOUN
cana-276	267	5	score	score	NOUN
cana-276	267	6	,	,	PUNCT
cana-276	267	7	one	one	PRON
cana-276	267	8	can	can	AUX
cana-276	267	9	see	see	VERB
cana-276	267	10	that	that	SCONJ
cana-276	267	11	ndann	ndann	PROPN
cana-276	267	12	is	be	AUX
cana-276	267	13	good	good	ADJ
cana-276	267	14	at	at	ADP
cana-276	267	15	balancing	balance	VERB
cana-276	267	16	recall	recall	NOUN
cana-276	267	17	and	and	CCONJ
cana-276	267	18	accuracy	accuracy	NOUN
cana-276	267	19	,	,	PUNCT
cana-276	267	20	which	which	PRON
cana-276	267	21	allows	allow	VERB
cana-276	267	22	it	it	PRON
cana-276	267	23	to	to	PART
cana-276	267	24	categorize	categorize	VERB
cana-276	267	25	positive	positive	ADJ
cana-276	267	26	cases	case	NOUN
cana-276	267	27	reliably	reliably	ADV
cana-276	267	28	while	while	SCONJ
cana-276	267	29	minimizing	minimize	VERB
cana-276	267	30	both	both	DET
cana-276	267	31	kinds	kind	NOUN
cana-276	267	32	of	of	ADP
cana-276	267	33	classification	classification	NOUN
cana-276	267	34	errors	error	NOUN
cana-276	267	35	.	.	PUNCT
cana-276	268	1	the	the	DET
cana-276	268	2	impressive	impressive	ADJ
cana-276	268	3	f1	f1	NOUN
cana-276	268	4	scores	score	NOUN
cana-276	268	5	achieved	achieve	VERB
cana-276	268	6	by	by	ADP
cana-276	268	7	ndann	ndann	PROPN
cana-276	268	8	highlight	highlight	VERB
cana-276	268	9	its	its	PRON
cana-276	268	10	potential	potential	NOUN
cana-276	268	11	to	to	PART
cana-276	268	12	produce	produce	VERB
cana-276	268	13	trustworthy	trustworthy	ADJ
cana-276	268	14	pattern	pattern	NOUN
cana-276	268	15	recognition	recognition	NOUN
cana-276	268	16	results	result	NOUN
cana-276	268	17	,	,	PUNCT
cana-276	268	18	which	which	PRON
cana-276	268	19	are	be	AUX
cana-276	268	20	achieved	achieve	VERB
cana-276	268	21	through	through	ADP
cana-276	268	22	the	the	DET
cana-276	268	23	utilization	utilization	NOUN
cana-276	268	24	of	of	ADP
cana-276	268	25	a	a	DET
cana-276	268	26	hybrid	hybrid	ADJ
cana-276	268	27	learning	learning	NOUN
cana-276	268	28	algorithm	algorithm	NOUN
cana-276	268	29	,	,	PUNCT
cana-276	268	30	an	an	DET
cana-276	268	31	explainability	explainability	NOUN
cana-276	268	32	module	module	NOUN
cana-276	268	33	,	,	PUNCT
cana-276	268	34	ensemble	ensemble	ADJ
cana-276	268	35	integration	integration	NOUN
cana-276	268	36	,	,	PUNCT
cana-276	268	37	regularization	regularization	NOUN
cana-276	268	38	for	for	ADP
cana-276	268	39	stability	stability	NOUN
cana-276	268	40	,	,	PUNCT
cana-276	268	41	and	and	CCONJ
cana-276	268	42	an	an	DET
cana-276	268	43	adaptable	adaptable	ADJ
cana-276	268	44	architecture	architecture	NOUN
cana-276	268	45	.	.	PUNCT
cana-276	269	1	comprehensive	comprehensive	ADJ
cana-276	269	2	simulation	simulation	NOUN
cana-276	269	3	studies	study	NOUN
cana-276	269	4	on	on	ADP
cana-276	269	5	various	various	ADJ
cana-276	269	6	datasets	dataset	NOUN
cana-276	269	7	confirm	confirm	VERB
cana-276	269	8	the	the	DET
cana-276	269	9	model	model	NOUN
cana-276	269	10	's	's	PART
cana-276	269	11	reliable	reliable	ADJ
cana-276	269	12	and	and	CCONJ
cana-276	269	13	impressive	impressive	ADJ
cana-276	269	14	f1	f1	ADJ
cana-276	269	15	score	score	NOUN
cana-276	269	16	performance	performance	NOUN
cana-276	269	17	,	,	PUNCT
cana-276	269	18	demonstrating	demonstrate	VERB
cana-276	269	19	its	its	PRON
cana-276	269	20	ability	ability	NOUN
cana-276	269	21	to	to	PART
cana-276	269	22	achieve	achieve	VERB
cana-276	269	23	a	a	DET
cana-276	269	24	balanced	balanced	ADJ
cana-276	269	25	combination	combination	NOUN
cana-276	269	26	of	of	ADP
cana-276	269	27	recall	recall	NOUN
cana-276	269	28	and	and	CCONJ
cana-276	269	29	precision	precision	NOUN
cana-276	269	30	.	.	PUNCT
cana-276	270	1	because	because	SCONJ
cana-276	270	2	of	of	ADP
cana-276	270	3	its	its	PRON
cana-276	270	4	capacity	capacity	NOUN
cana-276	270	5	to	to	PART
cana-276	270	6	achieve	achieve	VERB
cana-276	270	7	this	this	DET
cana-276	270	8	equilibrium	equilibrium	NOUN
cana-276	270	9	,	,	PUNCT
cana-276	270	10	ndann	ndann	X
cana-276	270	11	is	be	AUX
cana-276	270	12	a	a	DET
cana-276	270	13	strong	strong	ADJ
cana-276	270	14	contender	contender	NOUN
cana-276	270	15	for	for	ADP
cana-276	270	16	use	use	NOUN
cana-276	270	17	in	in	ADP
cana-276	270	18	security	security	NOUN
cana-276	270	19	systems	system	NOUN
cana-276	270	20	,	,	PUNCT
cana-276	270	21	medical	medical	ADJ
cana-276	270	22	diagnosis	diagnosis	NOUN
cana-276	270	23	,	,	PUNCT
cana-276	270	24	and	and	CCONJ
cana-276	270	25	fraud	fraud	NOUN
cana-276	270	26	detection	detection	NOUN
cana-276	270	27	,	,	PUNCT
cana-276	270	28	among	among	ADP
cana-276	270	29	other	other	ADJ
cana-276	270	30	areas	area	NOUN
cana-276	270	31	where	where	SCONJ
cana-276	270	32	preventing	prevent	VERB
cana-276	270	33	either	either	CCONJ
cana-276	270	34	kind	kind	NOUN
cana-276	270	35	of	of	ADP
cana-276	270	36	classification	classification	NOUN
cana-276	270	37	error	error	NOUN
cana-276	270	38	is	be	AUX
cana-276	270	39	critical	critical	ADJ
cana-276	270	40	.	.	PUNCT
cana-276	271	1	by	by	ADP
cana-276	271	2	providing	provide	VERB
cana-276	271	3	a	a	DET
cana-276	271	4	comprehensive	comprehensive	ADJ
cana-276	271	5	assessment	assessment	NOUN
cana-276	271	6	of	of	ADP
cana-276	271	7	its	its	PRON
cana-276	271	8	performance	performance	NOUN
cana-276	271	9	and	and	CCONJ
cana-276	271	10	highlighting	highlight	VERB
cana-276	271	11	its	its	PRON
cana-276	271	12	practical	practical	ADJ
cana-276	271	13	use	use	NOUN
cana-276	271	14	in	in	ADP
cana-276	271	15	situations	situation	NOUN
cana-276	271	16	where	where	SCONJ
cana-276	271	17	recall	recall	NOUN
cana-276	271	18	and	and	CCONJ
cana-276	271	19	precision	precision	NOUN
cana-276	271	20	are	be	AUX
cana-276	271	21	of	of	ADP
cana-276	271	22	utmost	utmost	ADJ
cana-276	271	23	importance	importance	NOUN
cana-276	271	24	,	,	PUNCT
cana-276	271	25	the	the	DET
cana-276	271	26	f1	f1	PROPN
cana-276	271	27	score	score	NOUN
cana-276	271	28	analysis	analysis	NOUN
cana-276	271	29	further	far	ADV
cana-276	271	30	establishes	establish	VERB
cana-276	271	31	ndann	ndann	NOUN
cana-276	271	32	as	as	ADP
cana-276	271	33	a	a	DET
cana-276	271	34	significant	significant	ADJ
cana-276	271	35	tool	tool	NOUN
cana-276	271	36	for	for	ADP
cana-276	271	37	pattern	pattern	NOUN
cana-276	271	38	recognition	recognition	NOUN
cana-276	271	39	.	.	PUNCT
cana-276	272	1	the	the	DET
cana-276	272	2	nonlinear	nonlinear	ADJ
cana-276	272	3	dynamics	dynamic	NOUN
cana-276	272	4	-	-	PUNCT
cana-276	272	5	driven	drive	VERB
cana-276	272	6	adaptive	adaptive	ADJ
cana-276	272	7	neural	neural	ADJ
cana-276	272	8	network	network	NOUN
cana-276	272	9	(	(	PUNCT
cana-276	272	10	nd	nd	NOUN
cana-276	272	11	-	-	PUNCT
cana-276	272	12	ann	ann	NOUN
cana-276	272	13	)	)	PUNCT
cana-276	272	14	achieved	achieve	VERB
cana-276	272	15	an	an	DET
cana-276	272	16	outstanding	outstanding	ADJ
cana-276	272	17	f1	f1	NOUN
cana-276	272	18	score	score	NOUN
cana-276	272	19	of	of	ADP
cana-276	272	20	94.8	94.8	NUM
cana-276	272	21	%	%	NOUN
cana-276	272	22	,	,	PUNCT
cana-276	272	23	as	as	SCONJ
cana-276	272	24	shown	show	VERB
cana-276	272	25	in	in	ADP
cana-276	272	26	figure	figure	NOUN
cana-276	272	27	7(a	7(a	NUM
cana-276	272	28	)	)	PUNCT
cana-276	272	29	of	of	ADP
cana-276	272	30	the	the	DET
cana-276	272	31	f1	f1	PROPN
cana-276	272	32	score	score	NOUN
cana-276	272	33	analysis	analysis	NOUN
cana-276	272	34	.	.	PUNCT
cana-276	273	1	in	in	ADP
cana-276	273	2	contrast	contrast	NOUN
cana-276	273	3	,	,	PUNCT
cana-276	273	4	figure	figure	NOUN
cana-276	273	5	7(b	7(b	NOUN
cana-276	273	6	)	)	PUNCT
cana-276	273	7	shows	show	VERB
cana-276	273	8	that	that	SCONJ
cana-276	273	9	nd	nd	NOUN
cana-276	273	10	-	-	PUNCT
cana-276	273	11	ann	ann	PROPN
cana-276	273	12	achieves	achieve	VERB
cana-276	273	13	a	a	DET
cana-276	273	14	score	score	NOUN
cana-276	273	15	of	of	ADP
cana-276	273	16	90.2	90.2	NUM
cana-276	273	17	%	%	NOUN
cana-276	273	18	in	in	ADP
cana-276	273	19	f1	f1	ADJ
cana-276	273	20	score	score	NOUN
cana-276	273	21	analysis	analysis	NOUN
cana-276	273	22	,	,	PUNCT
cana-276	273	23	surpassing	surpass	VERB
cana-276	273	24	the	the	DET
cana-276	273	25	high	high	ADJ
cana-276	273	26	-	-	PUNCT
cana-276	273	27	level	level	NOUN
cana-276	273	28	algorithm	algorithm	NOUN
cana-276	273	29	(	(	PUNCT
cana-276	273	30	hla	hla	NOUN
cana-276	273	31	)	)	PUNCT
cana-276	273	32	.	.	PUNCT
cana-276	274	1	in	in	ADP
cana-276	274	2	comparison	comparison	NOUN
cana-276	274	3	to	to	ADP
cana-276	274	4	the	the	DET
cana-276	274	5	current	current	ADJ
cana-276	274	6	high	high	ADJ
cana-276	274	7	-	-	PUNCT
cana-276	274	8	level	level	NOUN
cana-276	274	9	algorithm	algorithm	NOUN
cana-276	274	10	,	,	PUNCT
cana-276	274	11	these	these	DET
cana-276	274	12	outcomes	outcome	NOUN
cana-276	274	13	demonstrate	demonstrate	VERB
cana-276	274	14	that	that	SCONJ
cana-276	274	15	the	the	DET
cana-276	274	16	suggested	suggest	VERB
cana-276	274	17	nd	nd	NOUN
cana-276	274	18	-	-	PUNCT
cana-276	274	19	ann	ann	PROPN
cana-276	274	20	provides	provide	VERB
cana-276	274	21	a	a	DET
cana-276	274	22	better	well	ADJ
cana-276	274	23	balance	balance	NOUN
cana-276	274	24	between	between	ADP
cana-276	274	25	recall	recall	NOUN
cana-276	274	26	and	and	CCONJ
cana-276	274	27	precision	precision	NOUN
cana-276	274	28	,	,	PUNCT
cana-276	274	29	making	make	VERB
cana-276	274	30	it	it	PRON
cana-276	274	31	a	a	DET
cana-276	274	32	strong	strong	ADJ
cana-276	274	33	and	and	CCONJ
cana-276	274	34	dependable	dependable	ADJ
cana-276	274	35	technology	technology	NOUN
cana-276	274	36	.	.	PUNCT
cana-276	275	1	a	a	DET
cana-276	275	2	dependable	dependable	ADJ
cana-276	275	3	and	and	CCONJ
cana-276	275	4	strong	strong	ADJ
cana-276	275	5	pattern	pattern	NOUN
cana-276	275	6	recognition	recognition	NOUN
cana-276	275	7	technology	technology	NOUN
cana-276	275	8	,	,	PUNCT
cana-276	275	9	the	the	DET
cana-276	275	10	nonlinear	nonlinear	ADJ
cana-276	275	11	dynamics	dynamic	NOUN
cana-276	275	12	-	-	PUNCT
cana-276	275	13	driven	drive	VERB
cana-276	275	14	adaptive	adaptive	ADJ
cana-276	275	15	neural	neural	ADJ
cana-276	275	16	network	network	NOUN
cana-276	275	17	(	(	PUNCT
cana-276	275	18	nd	nd	NOUN
cana-276	275	19	-	-	PUNCT
cana-276	275	20	ann	ann	NOUN
cana-276	275	21	)	)	PUNCT
cana-276	275	22	shows	show	VERB
cana-276	275	23	off	off	ADP
cana-276	275	24	great	great	ADJ
cana-276	275	25	results	result	NOUN
cana-276	275	26	in	in	ADP
cana-276	275	27	f1	f1	ADJ
cana-276	275	28	score	score	NOUN
cana-276	275	29	analyses	analysis	NOUN
cana-276	275	30	,	,	PUNCT
cana-276	275	31	recall	recall	NOUN
cana-276	275	32	,	,	PUNCT
cana-276	275	33	precision	precision	NOUN
cana-276	275	34	,	,	PUNCT
cana-276	275	35	and	and	CCONJ
cana-276	275	36	accuracy	accuracy	NOUN
cana-276	275	37	.	.	PUNCT
cana-276	276	1	when	when	SCONJ
cana-276	276	2	it	it	PRON
cana-276	276	3	comes	come	VERB
cana-276	276	4	to	to	ADP
cana-276	276	5	improving	improve	VERB
cana-276	276	6	pattern	pattern	NOUN
cana-276	276	7	recognition	recognition	NOUN
cana-276	276	8	technology	technology	NOUN
cana-276	276	9	,	,	PUNCT
cana-276	276	10	nd	nd	NOUN
cana-276	276	11	-	-	PUNCT
cana-276	276	12	ann	ann	PROPN
cana-276	276	13	is	be	AUX
cana-276	276	14	a	a	DET
cana-276	276	15	great	great	ADJ
cana-276	276	16	tool	tool	NOUN
cana-276	276	17	because	because	SCONJ
cana-276	276	18	of	of	ADP
cana-276	276	19	how	how	SCONJ
cana-276	276	20	well	well	ADV
cana-276	276	21	it	it	PRON
cana-276	276	22	works	work	VERB
cana-276	276	23	with	with	ADP
cana-276	276	24	different	different	ADJ
cana-276	276	25	types	type	NOUN
cana-276	276	26	of	of	ADP
cana-276	276	27	datasets	dataset	NOUN
cana-276	276	28	and	and	CCONJ
cana-276	276	29	real	real	ADJ
cana-276	276	30	-	-	PUNCT
cana-276	276	31	world	world	NOUN
cana-276	276	32	applications	application	NOUN
cana-276	276	33	like	like	ADP
cana-276	276	34	security	security	NOUN
cana-276	276	35	systems	system	NOUN
cana-276	276	36	and	and	CCONJ
cana-276	276	37	healthcare	healthcare	NOUN
cana-276	276	38	diagnostics	diagnostic	NOUN
cana-276	276	39	.	.	PUNCT
cana-276	277	1	in	in	ADP
cana-276	277	2	complicated	complicated	ADJ
cana-276	277	3	pattern	pattern	NOUN
cana-276	277	4	recognition	recognition	NOUN
cana-276	277	5	scenarios	scenario	NOUN
cana-276	277	6	,	,	PUNCT
cana-276	277	7	the	the	DET
cana-276	277	8	comparative	comparative	ADJ
cana-276	277	9	results	result	NOUN
cana-276	277	10	show	show	VERB
cana-276	277	11	that	that	SCONJ
cana-276	277	12	nd	nd	NOUN
cana-276	277	13	-	-	PUNCT
cana-276	277	14	ann	ann	PROPN
cana-276	277	15	performs	perform	VERB
cana-276	277	16	better	well	ADJ
cana-276	277	17	than	than	ADP
cana-276	277	18	the	the	DET
cana-276	277	19	high	high	ADJ
cana-276	277	20	-	-	PUNCT
cana-276	277	21	level	level	NOUN
cana-276	277	22	algorithm	algorithm	NOUN
cana-276	277	23	(	(	PUNCT
cana-276	277	24	hla	hla	PROPN
cana-276	277	25	)	)	PUNCT
cana-276	277	26	,	,	PUNCT
cana-276	277	27	confirming	confirm	VERB
cana-276	277	28	that	that	SCONJ
cana-276	277	29	it	it	PRON
cana-276	277	30	is	be	AUX
cana-276	277	31	effective	effective	ADJ
cana-276	277	32	at	at	ADP
cana-276	277	33	balancing	balance	VERB
cana-276	277	34	recall	recall	NOUN
cana-276	277	35	and	and	CCONJ
cana-276	277	36	precision	precision	NOUN
cana-276	277	37	.	.	PUNCT
cana-276	278	1	0	0	NUM
cana-276	278	2	50	50	NUM
cana-276	278	3	100	100	NUM
cana-276	278	4	150	150	NUM
cana-276	278	5	200	200	NUM
cana-276	278	6	250	250	NUM
cana-276	278	7	300	300	NUM
cana-276	278	8	350	350	NUM
cana-276	278	9	400	400	NUM
cana-276	278	10	1	1	NUM
cana-276	278	11	0	0	NUM
cana-276	278	12	2	2	NUM
cana-276	278	13	0	0	NUM
cana-276	278	14	3	3	NUM
cana-276	278	15	0	0	NUM
cana-276	278	16	4	4	NUM
cana-276	278	17	0	0	NUM
cana-276	278	18	5	5	NUM
cana-276	278	19	0	0	NUM
cana-276	278	20	6	6	NUM
cana-276	278	21	0	0	NUM
cana-276	278	22	7	7	NUM
cana-276	278	23	0	0	NUM
cana-276	278	24	8	8	NUM
cana-276	278	25	0	0	NUM
cana-276	278	26	9	9	NUM
cana-276	278	27	0	0	NUM
cana-276	278	28	1	1	NUM
cana-276	278	29	0	0	NUM
cana-276	278	30	0	0	NUM
cana-276	278	31	f	f	PROPN
cana-276	278	32	1	1	NUM
cana-276	278	33	s	s	NOUN
cana-276	278	34	c	c	NOUN
cana-276	278	35	o	o	NOUN
cana-276	278	36	r	r	NOUN
cana-276	278	37	e	e	PROPN
cana-276	278	38	a	a	NOUN
cana-276	278	39	n	n	NOUN
cana-276	278	40	a	a	DET
cana-276	278	41	l	l	NOUN
cana-276	278	42	y	y	NOUN
cana-276	278	43	s	s	PROPN
cana-276	278	44	is	be	AUX
cana-276	278	45	r	r	NOUN
cana-276	278	46	a	a	DET
cana-276	278	47	t	t	NOUN
cana-276	278	48	io	io	X
cana-276	278	49	(	(	PUNCT
cana-276	278	50	%	%	INTJ
cana-276	278	51	)	)	PUNCT
cana-276	278	52	number	number	NOUN
cana-276	278	53	of	of	ADP
cana-276	278	54	samples	sample	NOUN
cana-276	278	55	pr	pr	AUX
cana-276	278	56	ct	ct	PROPN
cana-276	278	57	-	-	PUNCT
cana-276	278	58	ai	ai	PROPN
cana-276	278	59	ftc	ftc	PROPN
cana-276	278	60	rnn	rnn	PROPN
cana-276	278	61	nd	nd	PROPN
cana-276	278	62	-	-	PROPN
cana-276	278	63	ann	ann	PROPN
cana-276	278	64	0	0	NUM
cana-276	278	65	50	50	NUM
cana-276	278	66	100	100	NUM
cana-276	278	67	150	150	NUM
cana-276	278	68	200	200	NUM
cana-276	278	69	250	250	NUM
cana-276	278	70	300	300	NUM
cana-276	278	71	350	350	NUM
cana-276	278	72	400	400	NUM
cana-276	278	73	1	1	NUM
cana-276	278	74	0	0	NUM
cana-276	278	75	2	2	NUM
cana-276	278	76	0	0	NUM
cana-276	278	77	3	3	NUM
cana-276	278	78	0	0	NUM
cana-276	278	79	4	4	NUM
cana-276	278	80	0	0	NUM
cana-276	278	81	5	5	NUM
cana-276	278	82	0	0	NUM
cana-276	278	83	6	6	NUM
cana-276	278	84	0	0	NUM
cana-276	278	85	7	7	NUM
cana-276	278	86	0	0	NUM
cana-276	278	87	8	8	NUM
cana-276	278	88	0	0	NUM
cana-276	278	89	9	9	NUM
cana-276	278	90	0	0	NUM
cana-276	278	91	1	1	NUM
cana-276	278	92	0	0	NUM
cana-276	278	93	0	0	NUM
cana-276	278	94	f	f	PROPN
cana-276	279	1	1	1	NUM
cana-276	279	2	s	s	NOUN
cana-276	279	3	c	c	NOUN
cana-276	279	4	o	o	NOUN
cana-276	279	5	r	r	NOUN
cana-276	279	6	e	e	PROPN
cana-276	279	7	a	a	NOUN
cana-276	279	8	n	n	NOUN
cana-276	279	9	a	a	DET
cana-276	279	10	l	l	NOUN
cana-276	279	11	y	y	NOUN
cana-276	279	12	s	s	PROPN
cana-276	279	13	is	be	AUX
cana-276	279	14	r	r	NOUN
cana-276	279	15	a	a	DET
cana-276	279	16	t	t	NOUN
cana-276	279	17	io	io	X
cana-276	279	18	(	(	PUNCT
cana-276	279	19	%	%	INTJ
cana-276	279	20	)	)	PUNCT
cana-276	279	21	number	number	NOUN
cana-276	279	22	of	of	ADP
cana-276	279	23	samples	sample	NOUN
cana-276	279	24	pr	pr	X
cana-276	279	25	ct	ct	PROPN
cana-276	279	26	-	-	PUNCT
cana-276	279	27	ai	ai	PROPN
cana-276	279	28	ftc	ftc	PROPN
cana-276	279	29	rnn	rnn	PROPN
cana-276	279	30	hla	hla	PROPN
cana-276	279	31	communications	communication	NOUN
cana-276	279	32	on	on	ADP
cana-276	279	33	applied	apply	VERB
cana-276	279	34	nonlinear	nonlinear	ADJ
cana-276	279	35	analysis	analysis	NOUN
cana-276	279	36	issn	issn	NOUN
cana-276	279	37	:	:	PUNCT
cana-276	279	38	1074	1074	NUM
cana-276	279	39	-	-	PUNCT
cana-276	279	40	133x	133x	NUM
cana-276	279	41	vol	vol	NOUN
cana-276	279	42	30	30	NUM
cana-276	279	43	no	no	NOUN
cana-276	279	44	.	.	NOUN
cana-276	279	45	3	3	NUM
cana-276	279	46	(	(	PUNCT
cana-276	279	47	2023	2023	NUM
cana-276	279	48	)	)	PUNCT
cana-276	279	49	30	30	NUM
cana-276	279	50	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	279	51	5	5	NUM
cana-276	279	52	.	.	X
cana-276	279	53	conclusion	conclusion	NOUN
cana-276	279	54	finally	finally	ADV
cana-276	279	55	,	,	PUNCT
cana-276	279	56	there	there	PRON
cana-276	279	57	is	be	VERB
cana-276	279	58	a	a	DET
cana-276	279	59	major	major	ADJ
cana-276	279	60	breakthrough	breakthrough	NOUN
cana-276	279	61	in	in	ADP
cana-276	279	62	the	the	DET
cana-276	279	63	area	area	NOUN
cana-276	279	64	to	to	ADP
cana-276	279	65	the	the	DET
cana-276	279	66	study	study	NOUN
cana-276	279	67	of	of	ADP
cana-276	279	68	nonlinear	nonlinear	ADJ
cana-276	279	69	dynamics	dynamic	NOUN
cana-276	279	70	applied	apply	VERB
cana-276	279	71	to	to	ADP
cana-276	279	72	neural	neural	ADJ
cana-276	279	73	networks	network	NOUN
cana-276	279	74	for	for	ADP
cana-276	279	75	pattern	pattern	NOUN
cana-276	279	76	recognition	recognition	NOUN
cana-276	279	77	.	.	PUNCT
cana-276	280	1	one	one	NUM
cana-276	280	2	new	new	ADJ
cana-276	280	3	and	and	CCONJ
cana-276	280	4	promising	promising	ADJ
cana-276	280	5	approach	approach	NOUN
cana-276	280	6	is	be	AUX
cana-276	280	7	the	the	DET
cana-276	280	8	nonlinear	nonlinear	ADJ
cana-276	280	9	dynamicsdriven	dynamicsdriven	VERB
cana-276	280	10	adaptive	adaptive	ADJ
cana-276	280	11	neural	neural	ADJ
cana-276	280	12	network	network	NOUN
cana-276	280	13	(	(	PUNCT
cana-276	280	14	nd	nd	NOUN
cana-276	280	15	-	-	PUNCT
cana-276	280	16	ann	ann	NOUN
cana-276	280	17	)	)	PUNCT
cana-276	280	18	,	,	PUNCT
cana-276	280	19	which	which	PRON
cana-276	280	20	is	be	AUX
cana-276	280	21	designed	design	VERB
cana-276	280	22	to	to	PART
cana-276	280	23	handle	handle	VERB
cana-276	280	24	complicated	complicated	ADJ
cana-276	280	25	and	and	CCONJ
cana-276	280	26	nonlinear	nonlinear	ADJ
cana-276	280	27	patterns	pattern	NOUN
cana-276	280	28	found	find	VERB
cana-276	280	29	in	in	ADP
cana-276	280	30	real	real	ADJ
cana-276	280	31	-	-	PUNCT
cana-276	280	32	world	world	NOUN
cana-276	280	33	data	datum	NOUN
cana-276	280	34	.	.	PUNCT
cana-276	281	1	the	the	DET
cana-276	281	2	nd	nd	PROPN
cana-276	281	3	-	-	PUNCT
cana-276	281	4	ann	ann	PROPN
cana-276	281	5	framework	framework	NOUN
cana-276	281	6	provides	provide	VERB
cana-276	281	7	a	a	DET
cana-276	281	8	thorough	thorough	ADJ
cana-276	281	9	method	method	NOUN
cana-276	281	10	for	for	ADP
cana-276	281	11	using	use	VERB
cana-276	281	12	nonlinear	nonlinear	ADJ
cana-276	281	13	dynamics	dynamic	NOUN
cana-276	281	14	in	in	ADP
cana-276	281	15	pattern	pattern	NOUN
cana-276	281	16	recognition	recognition	NOUN
cana-276	281	17	by	by	ADP
cana-276	281	18	solving	solve	VERB
cana-276	281	19	problems	problem	NOUN
cana-276	281	20	with	with	ADP
cana-276	281	21	interpretability	interpretability	NOUN
cana-276	281	22	,	,	PUNCT
cana-276	281	23	training	training	NOUN
cana-276	281	24	complexity	complexity	NOUN
cana-276	281	25	,	,	PUNCT
cana-276	281	26	and	and	CCONJ
cana-276	281	27	generalization	generalization	NOUN
cana-276	281	28	when	when	SCONJ
cana-276	281	29	dealing	deal	VERB
cana-276	281	30	with	with	ADP
cana-276	281	31	noisy	noisy	ADJ
cana-276	281	32	data	datum	NOUN
cana-276	281	33	.	.	PUNCT
cana-276	282	1	a	a	DET
cana-276	282	2	complicated	complicated	ADJ
cana-276	282	3	and	and	CCONJ
cana-276	282	4	interpretable	interpretable	ADJ
cana-276	282	5	model	model	NOUN
cana-276	282	6	was	be	AUX
cana-276	282	7	painstakingly	painstakingly	ADV
cana-276	282	8	sought	seek	VERB
cana-276	282	9	after	after	ADP
cana-276	282	10	by	by	ADP
cana-276	282	11	incorporating	incorporate	VERB
cana-276	282	12	a	a	DET
cana-276	282	13	hybrid	hybrid	ADJ
cana-276	282	14	learning	learning	NOUN
cana-276	282	15	method	method	NOUN
cana-276	282	16	,	,	PUNCT
cana-276	282	17	an	an	DET
cana-276	282	18	explainability	explainability	NOUN
cana-276	282	19	module	module	NOUN
cana-276	282	20	,	,	PUNCT
cana-276	282	21	ensemble	ensemble	ADJ
cana-276	282	22	integration	integration	NOUN
cana-276	282	23	,	,	PUNCT
cana-276	282	24	regularization	regularization	NOUN
cana-276	282	25	for	for	ADP
cana-276	282	26	stability	stability	NOUN
cana-276	282	27	,	,	PUNCT
cana-276	282	28	and	and	CCONJ
cana-276	282	29	an	an	DET
cana-276	282	30	adaptive	adaptive	ADJ
cana-276	282	31	architecture	architecture	NOUN
cana-276	282	32	.	.	PUNCT
cana-276	283	1	extensive	extensive	ADJ
cana-276	283	2	simulation	simulation	NOUN
cana-276	283	3	analyses	analysis	NOUN
cana-276	283	4	showing	show	VERB
cana-276	283	5	that	that	SCONJ
cana-276	283	6	nd	nd	NOUN
cana-276	283	7	-	-	PUNCT
cana-276	283	8	ann	ann	PROPN
cana-276	283	9	is	be	AUX
cana-276	283	10	effective	effective	ADJ
cana-276	283	11	across	across	ADP
cana-276	283	12	many	many	ADJ
cana-276	283	13	datasets	dataset	NOUN
cana-276	283	14	(	(	PUNCT
cana-276	283	15	in	in	ADP
cana-276	283	16	terms	term	NOUN
cana-276	283	17	of	of	ADP
cana-276	283	18	precision	precision	NOUN
cana-276	283	19	,	,	PUNCT
cana-276	283	20	accuracy	accuracy	NOUN
cana-276	283	21	,	,	PUNCT
cana-276	283	22	recall	recall	NOUN
cana-276	283	23	,	,	PUNCT
cana-276	283	24	and	and	CCONJ
cana-276	283	25	f1	f1	PROPN
cana-276	283	26	score	score	NOUN
cana-276	283	27	)	)	PUNCT
cana-276	283	28	validate	validate	VERB
cana-276	283	29	its	its	PRON
cana-276	283	30	superiority	superiority	NOUN
cana-276	283	31	over	over	ADP
cana-276	283	32	traditional	traditional	ADJ
cana-276	283	33	models	model	NOUN
cana-276	283	34	.	.	PUNCT
cana-276	284	1	the	the	DET
cana-276	284	2	encouraging	encouraging	ADJ
cana-276	284	3	findings	finding	NOUN
cana-276	284	4	not	not	PART
cana-276	284	5	only	only	ADV
cana-276	284	6	show	show	VERB
cana-276	284	7	that	that	SCONJ
cana-276	284	8	nd	nd	NOUN
cana-276	284	9	-	-	PUNCT
cana-276	284	10	ann	ann	PROPN
cana-276	284	11	can	can	AUX
cana-276	284	12	properly	properly	ADV
cana-276	284	13	capture	capture	VERB
cana-276	284	14	and	and	CCONJ
cana-276	284	15	understand	understand	VERB
cana-276	284	16	complicated	complicated	ADJ
cana-276	284	17	patterns	pattern	NOUN
cana-276	284	18	,	,	PUNCT
cana-276	284	19	they	they	PRON
cana-276	284	20	set	set	VERB
cana-276	284	21	the	the	DET
cana-276	284	22	stage	stage	NOUN
cana-276	284	23	for	for	ADP
cana-276	284	24	advancements	advancement	NOUN
cana-276	284	25	in	in	ADP
cana-276	284	26	pattern	pattern	NOUN
cana-276	284	27	recognition	recognition	NOUN
cana-276	284	28	technology	technology	NOUN
cana-276	284	29	in	in	ADP
cana-276	284	30	the	the	DET
cana-276	284	31	future	future	NOUN
cana-276	284	32	.	.	PUNCT
cana-276	285	1	promising	promise	VERB
cana-276	285	2	advancements	advancement	NOUN
cana-276	285	3	in	in	ADP
cana-276	285	4	medicine	medicine	NOUN
cana-276	285	5	,	,	PUNCT
cana-276	285	6	data	datum	NOUN
cana-276	285	7	processing	processing	NOUN
cana-276	285	8	,	,	PUNCT
cana-276	285	9	and	and	CCONJ
cana-276	285	10	technological	technological	ADJ
cana-276	285	11	capabilities	capability	NOUN
cana-276	285	12	demonstrate	demonstrate	VERB
cana-276	285	13	the	the	DET
cana-276	285	14	game	game	NOUN
cana-276	285	15	-	-	PUNCT
cana-276	285	16	changing	change	VERB
cana-276	285	17	power	power	NOUN
cana-276	285	18	of	of	ADP
cana-276	285	19	precise	precise	ADJ
cana-276	285	20	nonlinear	nonlinear	ADJ
cana-276	285	21	dynamics	dynamic	NOUN
cana-276	285	22	modeling	modeling	NOUN
cana-276	285	23	.	.	PUNCT
cana-276	286	1	improved	improve	VERB
cana-276	286	2	performance	performance	NOUN
cana-276	286	3	and	and	CCONJ
cana-276	286	4	new	new	ADJ
cana-276	286	5	opportunities	opportunity	NOUN
cana-276	286	6	for	for	ADP
cana-276	286	7	improved	improved	ADJ
cana-276	286	8	applications	application	NOUN
cana-276	286	9	in	in	ADP
cana-276	286	10	many	many	ADJ
cana-276	286	11	fields	field	NOUN
cana-276	286	12	are	be	AUX
cana-276	286	13	only	only	ADV
cana-276	286	14	two	two	NUM
cana-276	286	15	reasons	reason	NOUN
cana-276	286	16	why	why	SCONJ
cana-276	286	17	nd	nd	NOUN
cana-276	286	18	-	-	PUNCT
cana-276	286	19	ann	ann	PROPN
cana-276	286	20	is	be	AUX
cana-276	286	21	shining	shine	VERB
cana-276	286	22	a	a	DET
cana-276	286	23	light	light	NOUN
cana-276	286	24	on	on	ADP
cana-276	286	25	the	the	DET
cana-276	286	26	future	future	NOUN
cana-276	286	27	of	of	ADP
cana-276	286	28	pattern	pattern	NOUN
cana-276	286	29	recognition	recognition	NOUN
cana-276	286	30	systems	system	NOUN
cana-276	286	31	.	.	PUNCT
cana-276	287	1	the	the	DET
cana-276	287	2	findings	finding	NOUN
cana-276	287	3	of	of	ADP
cana-276	287	4	this	this	DET
cana-276	287	5	study	study	NOUN
cana-276	287	6	pave	pave	VERB
cana-276	287	7	the	the	DET
cana-276	287	8	way	way	NOUN
cana-276	287	9	for	for	ADP
cana-276	287	10	future	future	ADJ
cana-276	287	11	work	work	NOUN
cana-276	287	12	in	in	ADP
cana-276	287	13	the	the	DET
cana-276	287	14	field	field	NOUN
cana-276	287	15	of	of	ADP
cana-276	287	16	advanced	advanced	ADJ
cana-276	287	17	and	and	CCONJ
cana-276	287	18	efficient	efficient	ADJ
cana-276	287	19	pattern	pattern	NOUN
cana-276	287	20	recognition	recognition	NOUN
cana-276	287	21	methods	method	NOUN
cana-276	287	22	by	by	ADP
cana-276	287	23	revealing	reveal	VERB
cana-276	287	24	new	new	ADJ
cana-276	287	25	possibilities	possibility	NOUN
cana-276	287	26	for	for	ADP
cana-276	287	27	the	the	DET
cana-276	287	28	study	study	NOUN
cana-276	287	29	and	and	CCONJ
cana-276	287	30	application	application	NOUN
cana-276	287	31	of	of	ADP
cana-276	287	32	nonlinear	nonlinear	ADJ
cana-276	287	33	dynamics	dynamic	NOUN
cana-276	287	34	in	in	ADP
cana-276	287	35	neural	neural	ADJ
cana-276	287	36	networks	network	NOUN
cana-276	287	37	.	.	PUNCT
cana-276	288	1	references	reference	NOUN
cana-276	288	2	[	[	X
cana-276	288	3	1	1	NUM
cana-276	288	4	]	]	X
cana-276	288	5	sui	sui	PROPN
cana-276	288	6	,	,	PUNCT
cana-276	288	7	s.	s.	PROPN
cana-276	288	8	,	,	PUNCT
cana-276	288	9	chen	chen	PROPN
cana-276	288	10	,	,	PUNCT
cana-276	288	11	c.	c.	PROPN
cana-276	288	12	p.	p.	PROPN
cana-276	288	13	,	,	PUNCT
cana-276	288	14	&	&	CCONJ
cana-276	288	15	tong	tong	PROPN
cana-276	288	16	,	,	PUNCT
cana-276	288	17	s.	s.	PROPN
cana-276	288	18	(	(	PUNCT
cana-276	288	19	2020	2020	NUM
cana-276	288	20	)	)	PUNCT
cana-276	288	21	.	.	PUNCT
cana-276	289	1	neural	neural	ADJ
cana-276	289	2	-	-	PUNCT
cana-276	289	3	network	network	NOUN
cana-276	289	4	-	-	PUNCT
cana-276	289	5	based	base	VERB
cana-276	289	6	adaptive	adaptive	ADJ
cana-276	289	7	dsc	dsc	NOUN
cana-276	289	8	design	design	NOUN
cana-276	289	9	for	for	ADP
cana-276	289	10	switched	switch	VERB
cana-276	289	11	fractional	fractional	ADJ
cana-276	289	12	-	-	PUNCT
cana-276	289	13	order	order	NOUN
cana-276	289	14	nonlinear	nonlinear	ADJ
cana-276	289	15	systems	system	NOUN
cana-276	289	16	.	.	PUNCT
cana-276	290	1	ieee	ieee	NOUN
cana-276	290	2	transactions	transaction	NOUN
cana-276	290	3	on	on	ADP
cana-276	290	4	neural	neural	ADJ
cana-276	290	5	networks	network	NOUN
cana-276	290	6	and	and	CCONJ
cana-276	290	7	learning	learning	NOUN
cana-276	290	8	systems	system	NOUN
cana-276	290	9	,	,	PUNCT
cana-276	290	10	32(10	32(10	NUM
cana-276	290	11	)	)	PUNCT
cana-276	290	12	,	,	PUNCT
cana-276	290	13	4703	4703	NUM
cana-276	290	14	-	-	SYM
cana-276	290	15	4712	4712	NUM
cana-276	290	16	.	.	PUNCT
cana-276	291	1	[	[	X
cana-276	291	2	2	2	NUM
cana-276	291	3	]	]	X
cana-276	291	4	zhao	zhao	PROPN
cana-276	291	5	,	,	PUNCT
cana-276	291	6	b.	b.	PROPN
cana-276	291	7	,	,	PUNCT
cana-276	291	8	liu	liu	PROPN
cana-276	291	9	,	,	PUNCT
cana-276	291	10	d.	d.	PROPN
cana-276	291	11	,	,	PUNCT
cana-276	291	12	&	&	CCONJ
cana-276	291	13	luo	luo	PROPN
cana-276	291	14	,	,	PUNCT
cana-276	291	15	c.	c.	PROPN
cana-276	291	16	(	(	PUNCT
cana-276	291	17	2019	2019	NUM
cana-276	291	18	)	)	PUNCT
cana-276	291	19	.	.	PUNCT
cana-276	292	1	reinforcement	reinforcement	NOUN
cana-276	292	2	learning	learning	NOUN
cana-276	292	3	-	-	PUNCT
cana-276	292	4	based	base	VERB
cana-276	292	5	optimal	optimal	ADJ
cana-276	292	6	stabilization	stabilization	NOUN
cana-276	292	7	for	for	ADP
cana-276	292	8	unknown	unknown	ADJ
cana-276	292	9	nonlinear	nonlinear	ADJ
cana-276	292	10	systems	system	NOUN
cana-276	292	11	subject	subject	ADJ
cana-276	292	12	to	to	ADP
cana-276	292	13	inputs	input	NOUN
cana-276	292	14	with	with	ADP
cana-276	292	15	uncertain	uncertain	ADJ
cana-276	292	16	constraints	constraint	NOUN
cana-276	292	17	.	.	PUNCT
cana-276	293	1	ieee	ieee	NOUN
cana-276	293	2	transactions	transaction	NOUN
cana-276	293	3	on	on	ADP
cana-276	293	4	neural	neural	ADJ
cana-276	293	5	networks	network	NOUN
cana-276	293	6	and	and	CCONJ
cana-276	293	7	learning	learning	NOUN
cana-276	293	8	systems	system	NOUN
cana-276	293	9	,	,	PUNCT
cana-276	293	10	31(10	31(10	NUM
cana-276	293	11	)	)	PUNCT
cana-276	293	12	,	,	PUNCT
cana-276	293	13	4330	4330	NUM
cana-276	293	14	-	-	SYM
cana-276	293	15	4340	4340	NUM
cana-276	293	16	.	.	PUNCT
cana-276	294	1	[	[	X
cana-276	294	2	3	3	NUM
cana-276	294	3	]	]	X
cana-276	294	4	de	de	X
cana-276	294	5	silva	silva	PROPN
cana-276	294	6	,	,	PUNCT
cana-276	294	7	b.	b.	PROPN
cana-276	294	8	m.	m.	PROPN
cana-276	294	9	,	,	PUNCT
cana-276	294	10	champion	champion	NOUN
cana-276	294	11	,	,	PUNCT
cana-276	294	12	k.	k.	PROPN
cana-276	294	13	,	,	PUNCT
cana-276	294	14	quade	quade	PROPN
cana-276	294	15	,	,	PUNCT
cana-276	294	16	m.	m.	NOUN
cana-276	294	17	,	,	PUNCT
cana-276	294	18	loiseau	loiseau	PROPN
cana-276	294	19	,	,	PUNCT
cana-276	294	20	j.	j.	PROPN
cana-276	294	21	c.	c.	PROPN
cana-276	294	22	,	,	PUNCT
cana-276	294	23	kutz	kutz	PROPN
cana-276	294	24	,	,	PUNCT
cana-276	294	25	j.	j.	PROPN
cana-276	294	26	n.	n.	PROPN
cana-276	294	27	,	,	PUNCT
cana-276	294	28	&	&	CCONJ
cana-276	294	29	brunton	brunton	PROPN
cana-276	294	30	,	,	PUNCT
cana-276	294	31	s.	s.	PROPN
cana-276	294	32	l.	l.	PROPN
cana-276	294	33	(	(	PUNCT
cana-276	294	34	2020	2020	NUM
cana-276	294	35	)	)	PUNCT
cana-276	294	36	.	.	PUNCT
cana-276	295	1	pysindy	pysindy	NOUN
cana-276	295	2	:	:	PUNCT
cana-276	295	3	a	a	DET
cana-276	295	4	python	python	NOUN
cana-276	295	5	package	package	NOUN
cana-276	295	6	for	for	ADP
cana-276	295	7	the	the	DET
cana-276	295	8	sparse	sparse	ADJ
cana-276	295	9	identification	identification	NOUN
cana-276	295	10	of	of	ADP
cana-276	295	11	nonlinear	nonlinear	ADJ
cana-276	295	12	dynamics	dynamic	NOUN
cana-276	295	13	from	from	ADP
cana-276	295	14	data	data	PROPN
cana-276	295	15	.	.	PUNCT
cana-276	296	1	arxiv	arxiv	PROPN
cana-276	296	2	preprint	preprint	PROPN
cana-276	296	3	arxiv:2004.08424	arxiv:2004.08424	NUM
cana-276	296	4	.	.	PUNCT
cana-276	297	1	[	[	X
cana-276	297	2	4	4	NUM
cana-276	297	3	]	]	SYM
cana-276	297	4	li	li	PROPN
cana-276	297	5	,	,	PUNCT
cana-276	297	6	k.	k.	PROPN
cana-276	297	7	,	,	PUNCT
cana-276	297	8	kou	kou	PROPN
cana-276	297	9	,	,	PUNCT
cana-276	297	10	j.	j.	PROPN
cana-276	297	11	,	,	PUNCT
cana-276	297	12	&	&	CCONJ
cana-276	297	13	zhang	zhang	PROPN
cana-276	297	14	,	,	PUNCT
cana-276	297	15	w.	w.	PROPN
cana-276	297	16	(	(	PUNCT
cana-276	297	17	2019	2019	NUM
cana-276	297	18	)	)	PUNCT
cana-276	297	19	.	.	PUNCT
cana-276	298	1	deep	deep	ADJ
cana-276	298	2	neural	neural	ADJ
cana-276	298	3	network	network	NOUN
cana-276	298	4	for	for	ADP
cana-276	298	5	unsteady	unsteady	ADJ
cana-276	298	6	aerodynamic	aerodynamic	ADJ
cana-276	298	7	and	and	CCONJ
cana-276	298	8	aeroelastic	aeroelastic	ADJ
cana-276	298	9	modeling	modeling	NOUN
cana-276	298	10	across	across	ADP
cana-276	298	11	multiple	multiple	ADJ
cana-276	298	12	mach	mach	NOUN
cana-276	298	13	numbers	number	NOUN
cana-276	298	14	.	.	PUNCT
cana-276	299	1	nonlinear	nonlinear	ADJ
cana-276	299	2	dynamics	dynamic	NOUN
cana-276	299	3	,	,	PUNCT
cana-276	299	4	96	96	NUM
cana-276	299	5	,	,	PUNCT
cana-276	299	6	2157	2157	NUM
cana-276	299	7	-	-	SYM
cana-276	299	8	2177	2177	NUM
cana-276	299	9	.	.	PUNCT
cana-276	300	1	[	[	X
cana-276	300	2	5	5	NUM
cana-276	300	3	]	]	X
cana-276	300	4	wang	wang	PROPN
cana-276	300	5	,	,	PUNCT
cana-276	300	6	x.	x.	NOUN
cana-276	300	7	,	,	PUNCT
cana-276	300	8	ding	ding	NOUN
cana-276	300	9	,	,	PUNCT
cana-276	300	10	d.	d.	PROPN
cana-276	300	11	,	,	PUNCT
cana-276	300	12	ge	ge	PROPN
cana-276	300	13	,	,	PUNCT
cana-276	300	14	x.	x.	PROPN
cana-276	300	15	,	,	PUNCT
cana-276	300	16	&	&	CCONJ
cana-276	300	17	han	han	PROPN
cana-276	300	18	,	,	PUNCT
cana-276	300	19	q.	q.	PROPN
cana-276	300	20	l.	l.	PROPN
cana-276	300	21	(	(	PUNCT
cana-276	300	22	2022	2022	NUM
cana-276	300	23	)	)	PUNCT
cana-276	300	24	.	.	PUNCT
cana-276	301	1	neural‐network‐based	neural‐network‐base	VERB
cana-276	301	2	control	control	NOUN
cana-276	301	3	for	for	ADP
cana-276	301	4	discrete‐	discrete‐	NOUN
cana-276	301	5	time	time	NOUN
cana-276	301	6	nonlinear	nonlinear	PROPN
cana-276	301	7	systems	system	NOUN
cana-276	301	8	with	with	ADP
cana-276	301	9	denial‐of‐service	denial‐of‐service	PROPN
cana-276	301	10	attack	attack	NOUN
cana-276	301	11	:	:	PUNCT
cana-276	301	12	the	the	DET
cana-276	301	13	adaptive	adaptive	ADJ
cana-276	301	14	event‐triggered	event‐triggere	VERB
cana-276	301	15	case	case	NOUN
cana-276	301	16	.	.	PUNCT
cana-276	302	1	international	international	ADJ
cana-276	302	2	journal	journal	NOUN
cana-276	302	3	of	of	ADP
cana-276	302	4	robust	robust	ADJ
cana-276	302	5	and	and	CCONJ
cana-276	302	6	nonlinear	nonlinear	ADJ
cana-276	302	7	control	control	NOUN
cana-276	302	8	,	,	PUNCT
cana-276	302	9	32(5	32(5	NOUN
cana-276	302	10	)	)	PUNCT
cana-276	302	11	,	,	PUNCT
cana-276	302	12	2760	2760	NUM
cana-276	302	13	-	-	SYM
cana-276	302	14	2779	2779	NUM
cana-276	302	15	.	.	PUNCT
cana-276	303	1	[	[	X
cana-276	303	2	6	6	NUM
cana-276	303	3	]	]	PUNCT
cana-276	303	4	barik	barik	NOUN
cana-276	303	5	d	d	PROPN
cana-276	303	6	,	,	PUNCT
cana-276	303	7	saeed	saeed	PROPN
cana-276	303	8	ma	ma	PROPN
cana-276	303	9	,	,	PUNCT
cana-276	303	10	ramachandran	ramachandran	PROPN
cana-276	303	11	t.	t.	PROPN
cana-276	303	12	experimental	experimental	ADJ
cana-276	303	13	and	and	CCONJ
cana-276	303	14	computational	computational	ADJ
cana-276	303	15	analysis	analysis	NOUN
cana-276	303	16	of	of	ADP
cana-276	303	17	aluminum	aluminum	NOUN
cana-276	303	18	-	-	PUNCT
cana-276	303	19	coated	coat	VERB
cana-276	303	20	dimple	dimple	ADJ
cana-276	303	21	and	and	CCONJ
cana-276	303	22	plain	plain	ADJ
cana-276	303	23	tubes	tube	NOUN
cana-276	303	24	in	in	ADP
cana-276	303	25	solar	solar	ADJ
cana-276	303	26	water	water	NOUN
cana-276	303	27	heater	heater	NOUN
cana-276	303	28	system	system	NOUN
cana-276	303	29	.	.	PUNCT
cana-276	304	1	energies	energy	NOUN
cana-276	304	2	.	.	PUNCT
cana-276	305	1	2022	2022	NUM
cana-276	305	2	dec	dec	PROPN
cana-276	305	3	27;16(1):295	27;16(1):295	NUM
cana-276	305	4	.	.	PUNCT
cana-276	306	1	[	[	X
cana-276	306	2	7	7	NUM
cana-276	306	3	]	]	X
cana-276	306	4	chen	chen	PROPN
cana-276	306	5	,	,	PUNCT
cana-276	306	6	c.	c.	PROPN
cana-276	306	7	,	,	PUNCT
cana-276	306	8	chen	chen	PROPN
cana-276	306	9	,	,	PUNCT
cana-276	306	10	j.	j.	PROPN
cana-276	306	11	,	,	PUNCT
cana-276	306	12	bao	bao	PROPN
cana-276	306	13	,	,	PUNCT
cana-276	306	14	h.	h.	PROPN
cana-276	306	15	,	,	PUNCT
cana-276	306	16	chen	chen	PROPN
cana-276	306	17	,	,	PUNCT
cana-276	306	18	m.	m.	NOUN
cana-276	306	19	,	,	PUNCT
cana-276	306	20	&	&	CCONJ
cana-276	306	21	bao	bao	PROPN
cana-276	306	22	,	,	PUNCT
cana-276	306	23	b.	b.	PROPN
cana-276	306	24	(	(	PUNCT
cana-276	306	25	2019	2019	NUM
cana-276	306	26	)	)	PUNCT
cana-276	306	27	.	.	PUNCT
cana-276	307	1	coexisting	coexist	VERB
cana-276	307	2	multi	multi	ADJ
cana-276	307	3	-	-	ADJ
cana-276	307	4	stable	stable	ADJ
cana-276	307	5	patterns	pattern	NOUN
cana-276	307	6	in	in	ADP
cana-276	307	7	memristor	memristor	NOUN
cana-276	307	8	synapse	synapse	NOUN
cana-276	307	9	-	-	PUNCT
cana-276	307	10	coupled	couple	VERB
cana-276	307	11	hopfield	hopfield	ADJ
cana-276	307	12	neural	neural	ADJ
cana-276	307	13	network	network	NOUN
cana-276	307	14	with	with	ADP
cana-276	307	15	two	two	NUM
cana-276	307	16	neurons	neuron	NOUN
cana-276	307	17	.	.	PUNCT
cana-276	308	1	nonlinear	nonlinear	ADJ
cana-276	308	2	dynamics	dynamic	NOUN
cana-276	308	3	,	,	PUNCT
cana-276	308	4	95	95	NUM
cana-276	308	5	,	,	PUNCT
cana-276	308	6	3385	3385	NUM
cana-276	308	7	-	-	SYM
cana-276	308	8	3399	3399	NUM
cana-276	308	9	.	.	PUNCT
cana-276	309	1	communications	communication	NOUN
cana-276	309	2	on	on	ADP
cana-276	309	3	applied	apply	VERB
cana-276	309	4	nonlinear	nonlinear	ADJ
cana-276	309	5	analysis	analysis	NOUN
cana-276	309	6	issn	issn	NOUN
cana-276	309	7	:	:	PUNCT
cana-276	309	8	1074	1074	NUM
cana-276	309	9	-	-	PUNCT
cana-276	309	10	133x	133x	NUM
cana-276	309	11	vol	vol	NOUN
cana-276	309	12	30	30	NUM
cana-276	309	13	no	no	NOUN
cana-276	309	14	.	.	NOUN
cana-276	309	15	3	3	NUM
cana-276	309	16	(	(	PUNCT
cana-276	309	17	2023	2023	NUM
cana-276	309	18	)	)	PUNCT
cana-276	309	19	31	31	NUM
cana-276	309	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-276	310	1	[	[	X
cana-276	310	2	8	8	NUM
cana-276	310	3	]	]	SYM
cana-276	310	4	li	li	PROPN
cana-276	310	5	,	,	PUNCT
cana-276	310	6	x.	x.	PROPN
cana-276	310	7	,	,	PUNCT
cana-276	310	8	cao	cao	PROPN
cana-276	310	9	,	,	PUNCT
cana-276	310	10	j.	j.	PROPN
cana-276	310	11	,	,	PUNCT
cana-276	310	12	&	&	CCONJ
cana-276	310	13	ho	ho	PROPN
cana-276	310	14	,	,	PUNCT
cana-276	310	15	d.	d.	PROPN
cana-276	310	16	w.	w.	PROPN
cana-276	310	17	(	(	PUNCT
cana-276	310	18	2019	2019	NUM
cana-276	310	19	)	)	PUNCT
cana-276	310	20	.	.	PUNCT
cana-276	311	1	impulsive	impulsive	ADJ
cana-276	311	2	control	control	NOUN
cana-276	311	3	of	of	ADP
cana-276	311	4	nonlinear	nonlinear	ADJ
cana-276	311	5	systems	system	NOUN
cana-276	311	6	with	with	ADP
cana-276	311	7	timevarying	timevarying	NOUN
cana-276	311	8	delay	delay	NOUN
cana-276	311	9	and	and	CCONJ
cana-276	311	10	applications	application	NOUN
cana-276	311	11	.	.	PUNCT
cana-276	312	1	ieee	ieee	NOUN
cana-276	312	2	transactions	transaction	NOUN
cana-276	312	3	on	on	ADP
cana-276	312	4	cybernetics	cybernetic	NOUN
cana-276	312	5	,	,	PUNCT
cana-276	312	6	50(6	50(6	NUM
cana-276	312	7	)	)	PUNCT
cana-276	312	8	,	,	PUNCT
cana-276	312	9	2661	2661	NUM
cana-276	312	10	-	-	SYM
cana-276	312	11	2673	2673	NUM
cana-276	312	12	.	.	PUNCT
cana-276	313	1	[	[	X
cana-276	313	2	9	9	NUM
cana-276	313	3	]	]	X
cana-276	313	4	arun	arun	PROPN
cana-276	313	5	m	m	PROPN
cana-276	313	6	,	,	PUNCT
cana-276	313	7	barik	barik	PROPN
cana-276	313	8	d	d	PROPN
cana-276	313	9	,	,	PUNCT
cana-276	313	10	sharma	sharma	PROPN
cana-276	313	11	p	p	PROPN
cana-276	313	12	,	,	PUNCT
cana-276	313	13	gürel	gürel	NOUN
cana-276	313	14	ae	ae	PROPN
cana-276	313	15	,	,	PUNCT
cana-276	313	16	ağbulut	ağbulut	PROPN
cana-276	313	17	ü	ü	PROPN
cana-276	313	18	,	,	PUNCT
cana-276	313	19	medhi	medhi	VERB
cana-276	313	20	bj	bj	NOUN
cana-276	313	21	,	,	PUNCT
cana-276	313	22	bora	bora	PROPN
cana-276	313	23	bj	bj	PROPN
cana-276	313	24	.	.	PUNCT
cana-276	314	1	experimental	experimental	ADJ
cana-276	314	2	and	and	CCONJ
cana-276	314	3	cfd	cfd	NOUN
cana-276	314	4	analysis	analysis	NOUN
cana-276	314	5	of	of	ADP
cana-276	314	6	dimple	dimple	ADJ
cana-276	314	7	tube	tube	NOUN
cana-276	314	8	parabolic	parabolic	ADJ
cana-276	314	9	trough	trough	PROPN
cana-276	314	10	solar	solar	ADJ
cana-276	314	11	water	water	NOUN
cana-276	314	12	heater	heater	NOUN
cana-276	314	13	with	with	ADP
cana-276	314	14	various	various	ADJ
cana-276	314	15	nanofluids	nanofluid	NOUN
cana-276	314	16	.	.	PUNCT
cana-276	315	1	applied	apply	VERB
cana-276	315	2	nanoscience	nanoscience	NOUN
cana-276	315	3	.	.	PUNCT
cana-276	316	1	2023	2023	NUM
cana-276	316	2	nov	nov	NOUN
cana-276	316	3	6:1	6:1	NUM
cana-276	316	4	-	-	PROPN
cana-276	316	5	47	47	NUM
cana-276	316	6	.	.	PUNCT
cana-276	317	1	[	[	X
cana-276	317	2	10	10	NUM
cana-276	317	3	]	]	X
cana-276	317	4	wang	wang	PROPN
cana-276	317	5	,	,	PUNCT
cana-276	317	6	m.	m.	NOUN
cana-276	317	7	,	,	PUNCT
cana-276	317	8	wang	wang	PROPN
cana-276	317	9	,	,	PUNCT
cana-276	317	10	z.	z.	PROPN
cana-276	317	11	,	,	PUNCT
cana-276	317	12	chen	chen	PROPN
cana-276	317	13	,	,	PUNCT
cana-276	317	14	y.	y.	PROPN
cana-276	317	15	,	,	PUNCT
cana-276	317	16	&	&	CCONJ
cana-276	317	17	sheng	sheng	PROPN
cana-276	317	18	,	,	PUNCT
cana-276	317	19	w.	w.	PROPN
cana-276	317	20	(	(	PUNCT
cana-276	317	21	2019	2019	NUM
cana-276	317	22	)	)	PUNCT
cana-276	317	23	.	.	PUNCT
cana-276	318	1	adaptive	adaptive	ADJ
cana-276	318	2	neural	neural	ADJ
cana-276	318	3	event	event	NOUN
cana-276	318	4	-	-	PUNCT
cana-276	318	5	triggered	trigger	VERB
cana-276	318	6	control	control	NOUN
cana-276	318	7	for	for	ADP
cana-276	318	8	discrete	discrete	ADJ
cana-276	318	9	-	-	PUNCT
cana-276	318	10	time	time	NOUN
cana-276	318	11	strict	strict	ADJ
cana-276	318	12	-	-	PUNCT
cana-276	318	13	feedback	feedback	NOUN
cana-276	318	14	nonlinear	nonlinear	NOUN
cana-276	318	15	systems	system	NOUN
cana-276	318	16	.	.	PUNCT
cana-276	319	1	ieee	ieee	NOUN
cana-276	319	2	transactions	transaction	NOUN
cana-276	319	3	on	on	ADP
cana-276	319	4	cybernetics	cybernetic	NOUN
cana-276	319	5	,	,	PUNCT
cana-276	319	6	50(7	50(7	NUM
cana-276	319	7	)	)	PUNCT
cana-276	319	8	,	,	PUNCT
cana-276	319	9	2946	2946	NUM
cana-276	319	10	-	-	SYM
cana-276	319	11	2958	2958	NUM
cana-276	319	12	.	.	PUNCT
cana-276	320	1	[	[	X
cana-276	320	2	11	11	NUM
cana-276	320	3	]	]	X
cana-276	320	4	wei	wei	PROPN
cana-276	320	5	,	,	PUNCT
cana-276	320	6	t.	t.	PROPN
cana-276	320	7	,	,	PUNCT
cana-276	320	8	li	li	PROPN
cana-276	320	9	,	,	PUNCT
cana-276	320	10	x.	x.	NOUN
cana-276	320	11	,	,	PUNCT
cana-276	320	12	&	&	CCONJ
cana-276	320	13	stojanovic	stojanovic	PROPN
cana-276	320	14	,	,	PUNCT
cana-276	320	15	v.	v.	PROPN
cana-276	320	16	(	(	PUNCT
cana-276	320	17	2021	2021	NUM
cana-276	320	18	)	)	PUNCT
cana-276	320	19	.	.	PUNCT
cana-276	320	20	input	input	NOUN
cana-276	320	21	-	-	PUNCT
cana-276	320	22	to	to	ADP
cana-276	320	23	-	-	PUNCT
cana-276	320	24	state	state	NOUN
cana-276	320	25	stability	stability	NOUN
cana-276	320	26	of	of	ADP
cana-276	320	27	impulsive	impulsive	ADJ
cana-276	320	28	reaction	reaction	NOUN
cana-276	320	29	–	–	PUNCT
cana-276	320	30	diffusion	diffusion	NOUN
cana-276	320	31	neural	neural	ADJ
cana-276	320	32	networks	network	NOUN
cana-276	320	33	with	with	ADP
cana-276	320	34	infinite	infinite	ADJ
cana-276	320	35	distributed	distribute	VERB
cana-276	320	36	delays	delay	NOUN
cana-276	320	37	.	.	PUNCT
cana-276	321	1	nonlinear	nonlinear	ADJ
cana-276	321	2	dynamics	dynamic	NOUN
cana-276	321	3	,	,	PUNCT
cana-276	321	4	103	103	NUM
cana-276	321	5	,	,	PUNCT
cana-276	321	6	17331755	17331755	NUM
cana-276	321	7	.	.	PUNCT
cana-276	322	1	[	[	X
cana-276	322	2	12	12	NUM
cana-276	322	3	]	]	X
cana-276	322	4	wang	wang	PROPN
cana-276	322	5	,	,	PUNCT
cana-276	322	6	m.	m.	NOUN
cana-276	322	7	,	,	PUNCT
cana-276	322	8	wang	wang	PROPN
cana-276	322	9	,	,	PUNCT
cana-276	322	10	z.	z.	PROPN
cana-276	322	11	,	,	PUNCT
cana-276	322	12	chen	chen	PROPN
cana-276	322	13	,	,	PUNCT
cana-276	322	14	y.	y.	PROPN
cana-276	322	15	,	,	PUNCT
cana-276	322	16	&	&	CCONJ
cana-276	322	17	sheng	sheng	PROPN
cana-276	322	18	,	,	PUNCT
cana-276	322	19	w.	w.	PROPN
cana-276	322	20	(	(	PUNCT
cana-276	322	21	2019	2019	NUM
cana-276	322	22	)	)	PUNCT
cana-276	322	23	.	.	PUNCT
cana-276	323	1	event	event	NOUN
cana-276	323	2	-	-	PUNCT
cana-276	323	3	based	base	VERB
cana-276	323	4	adaptive	adaptive	ADJ
cana-276	323	5	neural	neural	ADJ
cana-276	323	6	tracking	tracking	NOUN
cana-276	323	7	control	control	NOUN
cana-276	323	8	for	for	ADP
cana-276	323	9	discrete	discrete	ADJ
cana-276	323	10	-	-	PUNCT
cana-276	323	11	time	time	NOUN
cana-276	323	12	stochastic	stochastic	ADJ
cana-276	323	13	nonlinear	nonlinear	ADJ
cana-276	323	14	systems	system	NOUN
cana-276	323	15	:	:	PUNCT
cana-276	323	16	a	a	DET
cana-276	323	17	triggering	trigger	VERB
cana-276	323	18	threshold	threshold	NOUN
cana-276	323	19	compensation	compensation	NOUN
cana-276	323	20	strategy	strategy	NOUN
cana-276	323	21	.	.	PUNCT
cana-276	324	1	ieee	ieee	NOUN
cana-276	324	2	transactions	transaction	NOUN
cana-276	324	3	on	on	ADP
cana-276	324	4	neural	neural	ADJ
cana-276	324	5	networks	network	NOUN
cana-276	324	6	and	and	CCONJ
cana-276	324	7	learning	learning	NOUN
cana-276	324	8	systems	system	NOUN
cana-276	324	9	,	,	PUNCT
cana-276	324	10	31(6	31(6	NUM
cana-276	324	11	)	)	PUNCT
cana-276	324	12	,	,	PUNCT
cana-276	324	13	1968	1968	NUM
cana-276	324	14	-	-	SYM
cana-276	324	15	1981	1981	NUM
cana-276	324	16	.	.	PUNCT
cana-276	325	1	[	[	X
cana-276	325	2	13	13	NUM
cana-276	325	3	]	]	SYM
cana-276	325	4	pan	pan	PROPN
cana-276	325	5	,	,	PUNCT
cana-276	325	6	s.	s.	PROPN
cana-276	325	7	,	,	PUNCT
cana-276	325	8	&	&	CCONJ
cana-276	325	9	duraisamy	duraisamy	PROPN
cana-276	325	10	,	,	PUNCT
cana-276	325	11	k.	k.	PROPN
cana-276	325	12	(	(	PUNCT
cana-276	325	13	2020	2020	NUM
cana-276	325	14	)	)	PUNCT
cana-276	325	15	.	.	PUNCT
cana-276	326	1	physics	physics	NOUN
cana-276	326	2	-	-	PUNCT
cana-276	326	3	informed	inform	VERB
cana-276	326	4	probabilistic	probabilistic	ADJ
cana-276	326	5	learning	learning	NOUN
cana-276	326	6	of	of	ADP
cana-276	326	7	linear	linear	ADJ
cana-276	326	8	embeddings	embedding	NOUN
cana-276	326	9	of	of	ADP
cana-276	326	10	nonlinear	nonlinear	ADJ
cana-276	326	11	dynamics	dynamic	NOUN
cana-276	326	12	with	with	ADP
cana-276	326	13	guaranteed	guarantee	VERB
cana-276	326	14	stability	stability	NOUN
cana-276	326	15	.	.	PUNCT
cana-276	327	1	siam	siam	PROPN
cana-276	327	2	journal	journal	PROPN
cana-276	327	3	on	on	ADP
cana-276	327	4	applied	apply	VERB
cana-276	327	5	dynamical	dynamical	ADJ
cana-276	327	6	systems	system	NOUN
cana-276	327	7	,	,	PUNCT
cana-276	327	8	19(1	19(1	NUM
cana-276	327	9	)	)	PUNCT
cana-276	327	10	,	,	PUNCT
cana-276	327	11	480	480	NUM
cana-276	327	12	-	-	SYM
cana-276	327	13	509	509	NUM
cana-276	327	14	.	.	PUNCT
cana-276	328	1	[	[	X
cana-276	328	2	14	14	NUM
cana-276	328	3	]	]	X
cana-276	328	4	arun	arun	PROPN
cana-276	328	5	m	m	PROPN
cana-276	328	6	,	,	PUNCT
cana-276	328	7	barik	barik	PROPN
cana-276	328	8	d	d	NOUN
cana-276	328	9	,	,	PUNCT
cana-276	328	10	sridhar	sridhar	PROPN
cana-276	328	11	kp	kp	PROPN
cana-276	328	12	.	.	PROPN
cana-276	328	13	experimental	experimental	ADJ
cana-276	328	14	and	and	CCONJ
cana-276	328	15	cfd	cfd	NOUN
cana-276	328	16	analysis	analysis	NOUN
cana-276	328	17	of	of	ADP
cana-276	328	18	dimple	dimple	ADJ
cana-276	328	19	tube	tube	NOUN
cana-276	328	20	parabolic	parabolic	ADJ
cana-276	328	21	trough	trough	NOUN
cana-276	328	22	solar	solar	ADJ
cana-276	328	23	collector	collector	NOUN
cana-276	328	24	(	(	PUNCT
cana-276	328	25	ptsc	ptsc	NOUN
cana-276	328	26	)	)	PUNCT
cana-276	328	27	with	with	ADP
cana-276	328	28	tio2	tio2	NOUN
cana-276	328	29	nanofluids	nanofluid	NOUN
cana-276	328	30	.	.	PUNCT
cana-276	329	1	journal	journal	NOUN
cana-276	329	2	of	of	ADP
cana-276	329	3	thermal	thermal	ADJ
cana-276	329	4	analysis	analysis	NOUN
cana-276	329	5	and	and	CCONJ
cana-276	329	6	calorimetry	calorimetry	NOUN
cana-276	329	7	.	.	PUNCT
cana-276	330	1	2022	2022	NUM
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cana-276	330	4	56	56	NUM
cana-276	330	5	.	.	PUNCT
cana-276	331	1	[	[	X
cana-276	331	2	15	15	NUM
cana-276	331	3	]	]	X
cana-276	331	4	zhao	zhao	X
cana-276	331	5	,	,	PUNCT
cana-276	331	6	k.	k.	PROPN
cana-276	331	7	,	,	PUNCT
cana-276	331	8	song	song	NOUN
cana-276	331	9	,	,	PUNCT
cana-276	331	10	y.	y.	PROPN
cana-276	331	11	,	,	PUNCT
cana-276	331	12	meng	meng	PROPN
cana-276	331	13	,	,	PUNCT
cana-276	331	14	w.	w.	PROPN
cana-276	331	15	,	,	PUNCT
cana-276	331	16	chen	chen	PROPN
cana-276	331	17	,	,	PUNCT
cana-276	331	18	c.	c.	PROPN
cana-276	331	19	p.	p.	PROPN
cana-276	331	20	,	,	PUNCT
cana-276	331	21	&	&	CCONJ
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cana-276	331	27	)	)	PUNCT
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cana-276	332	2	-	-	PUNCT
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cana-276	332	5	adaptive	adaptive	ADJ
cana-276	332	6	tracking	tracking	NOUN
cana-276	332	7	control	control	NOUN
cana-276	332	8	of	of	ADP
cana-276	332	9	output	output	NOUN
cana-276	332	10	-	-	PUNCT
cana-276	332	11	constrained	constrain	VERB
cana-276	332	12	nonlinear	nonlinear	ADJ
cana-276	332	13	systems	system	NOUN
cana-276	332	14	.	.	PUNCT
cana-276	333	1	ieee	ieee	NOUN
cana-276	333	2	transactions	transaction	NOUN
cana-276	333	3	on	on	ADP
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cana-276	333	5	networks	network	NOUN
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cana-276	333	11	)	)	PUNCT
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cana-276	334	3	]	]	X
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cana-276	334	9	,	,	PUNCT
cana-276	334	10	b.	b.	PROPN
cana-276	334	11	s.	s.	PROPN
cana-276	334	12	,	,	PUNCT
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cana-276	334	16	j.	j.	PROPN
cana-276	334	17	,	,	PUNCT
cana-276	334	18	ryu	ryu	PROPN
cana-276	334	19	,	,	PUNCT
cana-276	334	20	h.	h.	PROPN
cana-276	334	21	j.	j.	PROPN
cana-276	334	22	,	,	PUNCT
cana-276	334	23	kim	kim	PROPN
cana-276	334	24	,	,	PUNCT
cana-276	334	25	s.	s.	PROPN
cana-276	334	26	,	,	PUNCT
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cana-276	334	28	,	,	PUNCT
cana-276	334	29	h.	h.	PROPN
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cana-276	334	32	&	&	CCONJ
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cana-276	334	34	,	,	PUNCT
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cana-276	334	36	h.	h.	PROPN
cana-276	334	37	(	(	PUNCT
cana-276	334	38	2020	2020	NUM
cana-276	334	39	)	)	PUNCT
cana-276	334	40	.	.	PUNCT
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cana-276	335	2	van	van	PROPN
cana-276	335	3	der	der	NOUN
cana-276	335	4	waals	waal	NOUN
cana-276	335	5	hybrid	hybrid	ADJ
cana-276	335	6	synapse	synapse	NOUN
cana-276	335	7	and	and	CCONJ
cana-276	335	8	its	its	PRON
cana-276	335	9	application	application	NOUN
cana-276	335	10	to	to	ADP
cana-276	335	11	acoustic	acoustic	ADJ
cana-276	335	12	pattern	pattern	NOUN
cana-276	335	13	recognition	recognition	NOUN
cana-276	335	14	.	.	PUNCT
cana-276	336	1	nature	nature	NOUN
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cana-276	336	5	)	)	PUNCT
cana-276	336	6	,	,	PUNCT
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cana-276	336	8	.	.	PUNCT
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cana-276	337	2	17	17	NUM
cana-276	337	3	]	]	X
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cana-276	337	5	,	,	PUNCT
cana-276	337	6	o.	o.	PROPN
cana-276	337	7	i.	i.	PROPN
cana-276	337	8	,	,	PUNCT
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cana-276	337	10	,	,	PUNCT
cana-276	337	11	a.	a.	NOUN
cana-276	337	12	,	,	PUNCT
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cana-276	337	14	,	,	PUNCT
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cana-276	337	16	e.	e.	PROPN
cana-276	337	17	,	,	PUNCT
cana-276	337	18	dada	dada	PROPN
cana-276	337	19	,	,	PUNCT
cana-276	337	20	k.	k.	PROPN
cana-276	338	1	v.	v.	PROPN
cana-276	338	2	,	,	PUNCT
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cana-276	338	4	,	,	PUNCT
cana-276	338	5	a.	a.	NOUN
cana-276	338	6	m.	m.	NOUN
cana-276	338	7	,	,	PUNCT
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cana-276	338	11	u.	u.	PROPN
cana-276	338	12	,	,	PUNCT
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cana-276	338	14	&	&	CCONJ
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cana-276	338	16	,	,	PUNCT
cana-276	338	17	m.	m.	NOUN
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cana-276	338	21	)	)	PUNCT
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cana-276	339	4	artificial	artificial	ADJ
cana-276	339	5	neural	neural	ADJ
cana-276	339	6	network	network	NOUN
cana-276	339	7	applications	application	NOUN
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cana-276	339	11	.	.	PUNCT
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cana-276	341	5	,	,	PUNCT
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cana-276	341	19	)	)	PUNCT
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cana-276	342	1	a	a	DET
cana-276	342	2	review	review	NOUN
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cana-276	342	4	computational	computational	ADJ
cana-276	342	5	intelligence	intelligence	NOUN
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cana-276	342	12	.	.	PUNCT
cana-276	343	1	nonlinear	nonlinear	ADJ
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cana-276	343	5	)	)	PUNCT
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cana-276	343	8	-	-	SYM
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cana-276	343	10	.	.	PUNCT
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cana-276	344	3	]	]	X
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cana-276	344	5	,	,	PUNCT
cana-276	344	6	h.	h.	PROPN
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cana-276	344	9	,	,	PUNCT
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cana-276	344	11	,	,	PUNCT
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cana-276	344	13	,	,	PUNCT
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cana-276	344	22	)	)	PUNCT
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cana-276	345	2	-	-	PUNCT
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cana-276	345	6	control	control	NOUN
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cana-276	345	9	nonlinear	nonlinear	PROPN
cana-276	345	10	systems	system	NOUN
cana-276	345	11	through	through	ADP
cana-276	345	12	particle	particle	NOUN
cana-276	345	13	swarm	swarm	NOUN
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cana-276	345	16	networks	network	NOUN
cana-276	345	17	.	.	PUNCT
cana-276	346	1	ieee	ieee	PROPN
cana-276	346	2	/	/	SYM
cana-276	346	3	caa	caa	PROPN
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cana-276	346	10	)	)	PUNCT
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cana-276	346	13	-	-	SYM
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cana-276	346	15	.	.	PUNCT
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cana-276	347	7	,	,	PUNCT
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cana-276	347	11	,	,	PUNCT
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cana-276	347	13	,	,	PUNCT
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cana-276	347	15	,	,	PUNCT
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cana-276	347	17	,	,	PUNCT
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cana-276	347	19	,	,	PUNCT
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cana-276	347	31	)	)	PUNCT
cana-276	347	32	.	.	PUNCT
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cana-276	348	2	ultrafast	ultrafast	ADJ
cana-276	348	3	nonlinear	nonlinear	ADJ
cana-276	348	4	dynamics	dynamic	NOUN
cana-276	348	5	in	in	ADP
cana-276	348	6	fibre	fibre	NOUN
cana-276	348	7	optics	optic	NOUN
cana-276	348	8	with	with	ADP
cana-276	348	9	a	a	DET
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cana-276	348	13	.	.	PUNCT
cana-276	349	1	nature	nature	NOUN
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cana-276	349	6	)	)	PUNCT
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cana-276	350	5	,	,	PUNCT
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cana-276	350	12	&	&	CCONJ
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cana-276	350	18	)	)	PUNCT
cana-276	350	19	.	.	PUNCT
cana-276	351	1	nonlinear	nonlinear	ADJ
cana-276	351	2	dynamic	dynamic	ADJ
cana-276	351	3	soft	soft	ADJ
cana-276	351	4	sensor	sensor	NOUN
cana-276	351	5	modeling	modeling	NOUN
cana-276	351	6	with	with	ADP
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cana-276	351	10	-	-	PUNCT
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cana-276	351	13	network	network	NOUN
cana-276	351	14	.	.	PUNCT
cana-276	352	1	ieee	ieee	NOUN
cana-276	352	2	transactions	transaction	NOUN
cana-276	352	3	on	on	ADP
cana-276	352	4	industrial	industrial	ADJ
cana-276	352	5	informatics	informatic	NOUN
cana-276	352	6	,	,	PUNCT
cana-276	352	7	16(5	16(5	NUM
cana-276	352	8	)	)	PUNCT
cana-276	352	9	,	,	PUNCT
cana-276	352	10	3168	3168	NUM
cana-276	352	11	-	-	SYM
cana-276	352	12	3176	3176	NUM
cana-276	352	13	.	.	PUNCT