id	sid	tid	token	lemma	pos
cana-275	1	1	communications	communication	NOUN
cana-275	1	2	on	on	ADP
cana-275	1	3	applied	apply	VERB
cana-275	1	4	nonlinear	nonlinear	ADJ
cana-275	1	5	analysis	analysis	NOUN
cana-275	1	6	issn	issn	NOUN
cana-275	1	7	:	:	PUNCT
cana-275	1	8	1074	1074	NUM
cana-275	1	9	-	-	PUNCT
cana-275	1	10	133x	133x	NUM
cana-275	1	11	vol	vol	NOUN
cana-275	1	12	30	30	NUM
cana-275	1	13	no	no	NOUN
cana-275	1	14	.	.	NOUN
cana-275	1	15	3	3	NUM
cana-275	1	16	(	(	PUNCT
cana-275	1	17	2023	2023	NUM
cana-275	1	18	)	)	PUNCT
cana-275	1	19	1	1	NUM
cana-275	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	1	21	machine	machine	NOUN
cana-275	1	22	learning	learn	VERB
cana-275	1	23	approaches	approach	NOUN
cana-275	1	24	for	for	ADP
cana-275	1	25	predicting	predict	VERB
cana-275	1	26	chaotic	chaotic	ADJ
cana-275	1	27	behavior	behavior	NOUN
cana-275	1	28	in	in	ADP
cana-275	1	29	nonlinear	nonlinear	ADJ
cana-275	1	30	systems	system	NOUN
cana-275	1	31	omprakash	omprakash	NOUN
cana-275	1	32	dewangan	dewangan	VERB
cana-275	1	33	assistant	assistant	NOUN
cana-275	1	34	professor	professor	NOUN
cana-275	1	35	,	,	PUNCT
cana-275	1	36	faculty	faculty	NOUN
cana-275	1	37	of	of	ADP
cana-275	1	38	cs	cs	PROPN
cana-275	1	39	&	&	CCONJ
cana-275	1	40	it	it	PRON
cana-275	1	41	,	,	PUNCT
cana-275	1	42	kalinga	kalinga	PROPN
cana-275	1	43	university	university	PROPN
cana-275	1	44	,	,	PUNCT
cana-275	1	45	naya	naya	PROPN
cana-275	1	46	raipur	raipur	PROPN
cana-275	1	47	,	,	PUNCT
cana-275	1	48	chhattisgarh	chhattisgarh	PROPN
cana-275	1	49	,	,	PUNCT
cana-275	1	50	india	india	PROPN
cana-275	1	51	.	.	PUNCT
cana-275	2	1	mail	mail	NOUN
cana-275	2	2	id:ku.omprakashdewangan@kalingauniversity.ac.in	id:ku.omprakashdewangan@kalingauniversity.ac.in	PROPN
cana-275	2	3	article	article	NOUN
cana-275	2	4	history	history	NOUN
cana-275	2	5	:	:	PUNCT
cana-275	2	6	received	receive	VERB
cana-275	2	7	:	:	PUNCT
cana-275	2	8	20	20	NUM
cana-275	2	9	-	-	SYM
cana-275	2	10	05	05	NUM
cana-275	2	11	-	-	PUNCT
cana-275	2	12	2023	2023	NUM
cana-275	2	13	revised	revise	VERB
cana-275	2	14	:	:	PUNCT
cana-275	2	15	25	25	NUM
cana-275	2	16	-	-	PUNCT
cana-275	2	17	06	06	NUM
cana-275	2	18	-	-	PUNCT
cana-275	2	19	2023	2023	NUM
cana-275	2	20	accepted	accept	VERB
cana-275	2	21	:	:	PUNCT
cana-275	2	22	04	04	NUM
cana-275	2	23	-	-	SYM
cana-275	2	24	08	08	NUM
cana-275	2	25	-	-	PUNCT
cana-275	2	26	2023	2023	NUM
cana-275	2	27	abstract	abstract	NOUN
cana-275	2	28	:	:	PUNCT
cana-275	2	29	in	in	ADP
cana-275	2	30	many	many	ADJ
cana-275	2	31	domains	domain	NOUN
cana-275	2	32	,	,	PUNCT
cana-275	2	33	including	include	VERB
cana-275	2	34	biology	biology	NOUN
cana-275	2	35	,	,	PUNCT
cana-275	2	36	engineering	engineering	NOUN
cana-275	2	37	,	,	PUNCT
cana-275	2	38	physics	physics	NOUN
cana-275	2	39	,	,	PUNCT
cana-275	2	40	and	and	CCONJ
cana-275	2	41	finance	finance	NOUN
cana-275	2	42	,	,	PUNCT
cana-275	2	43	the	the	DET
cana-275	2	44	ability	ability	NOUN
cana-275	2	45	to	to	PART
cana-275	2	46	forecast	forecast	VERB
cana-275	2	47	chaotic	chaotic	ADJ
cana-275	2	48	behavior	behavior	NOUN
cana-275	2	49	is	be	AUX
cana-275	2	50	of	of	ADP
cana-275	2	51	the	the	DET
cana-275	2	52	utmost	utmost	ADJ
cana-275	2	53	importance	importance	NOUN
cana-275	2	54	.	.	PUNCT
cana-275	3	1	predicting	predict	VERB
cana-275	3	2	nonlinear	nonlinear	ADJ
cana-275	3	3	systems	system	NOUN
cana-275	3	4	accurately	accurately	ADV
cana-275	3	5	is	be	AUX
cana-275	3	6	a	a	DET
cana-275	3	7	critical	critical	ADJ
cana-275	3	8	task	task	NOUN
cana-275	3	9	due	due	ADP
cana-275	3	10	to	to	ADP
cana-275	3	11	their	their	PRON
cana-275	3	12	intrinsic	intrinsic	ADJ
cana-275	3	13	sensitivity	sensitivity	NOUN
cana-275	3	14	to	to	ADP
cana-275	3	15	initial	initial	ADJ
cana-275	3	16	conditions	condition	NOUN
cana-275	3	17	and	and	CCONJ
cana-275	3	18	lack	lack	NOUN
cana-275	3	19	of	of	ADP
cana-275	3	20	apparent	apparent	ADJ
cana-275	3	21	patterns	pattern	NOUN
cana-275	3	22	.	.	PUNCT
cana-275	4	1	one	one	NUM
cana-275	4	2	potential	potential	ADJ
cana-275	4	3	way	way	NOUN
cana-275	4	4	to	to	PART
cana-275	4	5	address	address	VERB
cana-275	4	6	this	this	DET
cana-275	4	7	difficulty	difficulty	NOUN
cana-275	4	8	is	be	AUX
cana-275	4	9	by	by	ADP
cana-275	4	10	utilizing	utilize	VERB
cana-275	4	11	machine	machine	NOUN
cana-275	4	12	learning	learn	VERB
cana-275	4	13	techniques	technique	NOUN
cana-275	4	14	.	.	PUNCT
cana-275	5	1	these	these	DET
cana-275	5	2	methods	method	NOUN
cana-275	5	3	can	can	AUX
cana-275	5	4	help	help	VERB
cana-275	5	5	us	we	PRON
cana-275	5	6	better	well	ADV
cana-275	5	7	understand	understand	VERB
cana-275	5	8	and	and	CCONJ
cana-275	5	9	manage	manage	VERB
cana-275	5	10	complex	complex	ADJ
cana-275	5	11	systems	system	NOUN
cana-275	5	12	that	that	PRON
cana-275	5	13	display	display	VERB
cana-275	5	14	chaotic	chaotic	ADJ
cana-275	5	15	dynamics	dynamic	NOUN
cana-275	5	16	.	.	PUNCT
cana-275	6	1	complex	complex	ADJ
cana-275	6	2	nonlinear	nonlinear	ADJ
cana-275	6	3	systems	system	NOUN
cana-275	6	4	,	,	PUNCT
cana-275	6	5	with	with	ADP
cana-275	6	6	their	their	PRON
cana-275	6	7	great	great	ADJ
cana-275	6	8	dimensionality	dimensionality	NOUN
cana-275	6	9	,	,	PUNCT
cana-275	6	10	temporal	temporal	ADJ
cana-275	6	11	interdependence	interdependence	NOUN
cana-275	6	12	,	,	PUNCT
cana-275	6	13	and	and	CCONJ
cana-275	6	14	sensitivity	sensitivity	NOUN
cana-275	6	15	to	to	ADP
cana-275	6	16	initial	initial	ADJ
cana-275	6	17	conditions	condition	NOUN
cana-275	6	18	,	,	PUNCT
cana-275	6	19	make	make	VERB
cana-275	6	20	chaotic	chaotic	ADJ
cana-275	6	21	behavior	behavior	NOUN
cana-275	6	22	prediction	prediction	NOUN
cana-275	6	23	difficult	difficult	ADJ
cana-275	6	24	.	.	PUNCT
cana-275	7	1	the	the	DET
cana-275	7	2	development	development	NOUN
cana-275	7	3	of	of	ADP
cana-275	7	4	sophisticated	sophisticated	ADJ
cana-275	7	5	tools	tool	NOUN
cana-275	7	6	that	that	PRON
cana-275	7	7	can	can	AUX
cana-275	7	8	detect	detect	VERB
cana-275	7	9	patterns	pattern	NOUN
cana-275	7	10	in	in	ADP
cana-275	7	11	chaotic	chaotic	ADJ
cana-275	7	12	dynamics	dynamic	NOUN
cana-275	7	13	is	be	AUX
cana-275	7	14	often	often	ADV
cana-275	7	15	necessary	necessary	ADJ
cana-275	7	16	because	because	SCONJ
cana-275	7	17	traditional	traditional	ADJ
cana-275	7	18	methods	method	NOUN
cana-275	7	19	fail	fail	VERB
cana-275	7	20	to	to	PART
cana-275	7	21	capture	capture	VERB
cana-275	7	22	these	these	DET
cana-275	7	23	subtleties	subtlety	NOUN
cana-275	7	24	.	.	PUNCT
cana-275	8	1	the	the	DET
cana-275	8	2	present	present	ADJ
cana-275	8	3	research	research	NOUN
cana-275	8	4	presents	present	VERB
cana-275	8	5	chaotic	chaotic	ADJ
cana-275	8	6	dynamics	dynamic	NOUN
cana-275	8	7	prediction	prediction	NOUN
cana-275	8	8	through	through	ADP
cana-275	8	9	deep	deep	ADJ
cana-275	8	10	ensemble	ensemble	ADJ
cana-275	8	11	learning	learning	NOUN
cana-275	8	12	(	(	PUNCT
cana-275	8	13	cdp	cdp	NOUN
cana-275	8	14	-	-	PUNCT
cana-275	8	15	del	del	NOUN
cana-275	8	16	)	)	PUNCT
cana-275	8	17	,	,	PUNCT
cana-275	8	18	an	an	DET
cana-275	8	19	approach	approach	NOUN
cana-275	8	20	to	to	ADP
cana-275	8	21	chaotic	chaotic	ADJ
cana-275	8	22	dynamics	dynamic	NOUN
cana-275	8	23	prediction	prediction	NOUN
cana-275	8	24	(	(	PUNCT
cana-275	8	25	cdp	cdp	X
cana-275	8	26	)	)	PUNCT
cana-275	8	27	that	that	PRON
cana-275	8	28	combines	combine	VERB
cana-275	8	29	deep	deep	ADJ
cana-275	8	30	learning	learning	NOUN
cana-275	8	31	architectures	architecture	NOUN
cana-275	8	32	with	with	ADP
cana-275	8	33	ensemble	ensemble	ADJ
cana-275	8	34	learning	learning	NOUN
cana-275	8	35	methodologies	methodology	NOUN
cana-275	8	36	.	.	PUNCT
cana-275	9	1	ensemble	ensemble	ADJ
cana-275	9	2	learning	learning	NOUN
cana-275	9	3	improves	improve	VERB
cana-275	9	4	generalizability	generalizability	NOUN
cana-275	9	5	and	and	CCONJ
cana-275	9	6	reduces	reduce	VERB
cana-275	9	7	overfitting	overfitte	VERB
cana-275	9	8	,	,	PUNCT
cana-275	9	9	whereas	whereas	SCONJ
cana-275	9	10	deep	deep	ADJ
cana-275	9	11	neural	neural	ADJ
cana-275	9	12	networks	network	NOUN
cana-275	9	13	are	be	AUX
cana-275	9	14	made	make	VERB
cana-275	9	15	to	to	PART
cana-275	9	16	capture	capture	VERB
cana-275	9	17	complicated	complicated	ADJ
cana-275	9	18	nonlinear	nonlinear	ADJ
cana-275	9	19	interactions	interaction	NOUN
cana-275	9	20	.	.	PUNCT
cana-275	10	1	cdp	cdp	VERB
cana-275	10	2	-	-	PUNCT
cana-275	10	3	del	del	PROPN
cana-275	10	4	is	be	AUX
cana-275	10	5	an	an	DET
cana-275	10	6	all	all	ADV
cana-275	10	7	-	-	PUNCT
cana-275	10	8	inclusive	inclusive	ADJ
cana-275	10	9	method	method	NOUN
cana-275	10	10	for	for	ADP
cana-275	10	11	predicting	predict	VERB
cana-275	10	12	chaotic	chaotic	ADJ
cana-275	10	13	behavior	behavior	NOUN
cana-275	10	14	in	in	ADP
cana-275	10	15	nonlinear	nonlinear	ADJ
cana-275	10	16	systems	system	NOUN
cana-275	10	17	since	since	SCONJ
cana-275	10	18	it	it	PRON
cana-275	10	19	uses	use	VERB
cana-275	10	20	feature	feature	NOUN
cana-275	10	21	engineering	engineering	NOUN
cana-275	10	22	,	,	PUNCT
cana-275	10	23	integrates	integrate	NOUN
cana-275	10	24	system	system	NOUN
cana-275	10	25	factors	factor	NOUN
cana-275	10	26	,	,	PUNCT
cana-275	10	27	and	and	CCONJ
cana-275	10	28	handles	handle	VERB
cana-275	10	29	temporal	temporal	ADJ
cana-275	10	30	dependencies	dependency	NOUN
cana-275	10	31	.	.	PUNCT
cana-275	11	1	among	among	ADP
cana-275	11	2	the	the	DET
cana-275	11	3	many	many	ADJ
cana-275	11	4	fields	field	NOUN
cana-275	11	5	that	that	PRON
cana-275	11	6	have	have	AUX
cana-275	11	7	found	find	VERB
cana-275	11	8	use	use	NOUN
cana-275	11	9	for	for	ADP
cana-275	11	10	cdp	cdp	NOUN
cana-275	11	11	-	-	PUNCT
cana-275	11	12	del	del	NOUN
cana-275	11	13	are	be	AUX
cana-275	11	14	control	control	NOUN
cana-275	11	15	systems	system	NOUN
cana-275	11	16	,	,	PUNCT
cana-275	11	17	ecological	ecological	ADJ
cana-275	11	18	research	research	NOUN
cana-275	11	19	,	,	PUNCT
cana-275	11	20	financial	financial	ADJ
cana-275	11	21	modeling	modeling	NOUN
cana-275	11	22	,	,	PUNCT
cana-275	11	23	and	and	CCONJ
cana-275	11	24	weather	weather	NOUN
cana-275	11	25	forecasting	forecasting	NOUN
cana-275	11	26	.	.	PUNCT
cana-275	12	1	when	when	SCONJ
cana-275	12	2	applied	apply	VERB
cana-275	12	3	to	to	ADP
cana-275	12	4	real	real	ADJ
cana-275	12	5	-	-	PUNCT
cana-275	12	6	world	world	NOUN
cana-275	12	7	scenarios	scenario	NOUN
cana-275	12	8	with	with	ADP
cana-275	12	9	substantial	substantial	ADJ
cana-275	12	10	chaotic	chaotic	ADJ
cana-275	12	11	dynamics	dynamic	NOUN
cana-275	12	12	repercussions	repercussion	NOUN
cana-275	12	13	,	,	PUNCT
cana-275	12	14	cdp	cdp	NOUN
cana-275	12	15	-	-	PUNCT
cana-275	12	16	del	del	PROPN
cana-275	12	17	's	's	PART
cana-275	12	18	improved	improve	VERB
cana-275	12	19	prediction	prediction	NOUN
cana-275	12	20	capabilities	capability	NOUN
cana-275	12	21	may	may	AUX
cana-275	12	22	help	help	VERB
cana-275	12	23	optimize	optimize	VERB
cana-275	12	24	decision	decision	NOUN
cana-275	12	25	-	-	PUNCT
cana-275	12	26	making	make	VERB
cana-275	12	27	processes	process	NOUN
cana-275	12	28	.	.	PUNCT
cana-275	13	1	extensive	extensive	ADJ
cana-275	13	2	simulation	simulation	NOUN
cana-275	13	3	evaluations	evaluation	NOUN
cana-275	13	4	are	be	AUX
cana-275	13	5	performed	perform	VERB
cana-275	13	6	utilizing	utilize	VERB
cana-275	13	7	benchmark	benchmark	ADJ
cana-275	13	8	chaotic	chaotic	ADJ
cana-275	13	9	systems	system	NOUN
cana-275	13	10	to	to	PART
cana-275	13	11	validate	validate	VERB
cana-275	13	12	the	the	DET
cana-275	13	13	efficacy	efficacy	NOUN
cana-275	13	14	of	of	ADP
cana-275	13	15	cdp	cdp	PROPN
cana-275	13	16	-	-	PUNCT
cana-275	13	17	del	del	PROPN
cana-275	13	18	.	.	PROPN
cana-275	13	19	research	research	NOUN
cana-275	13	20	comparing	compare	VERB
cana-275	13	21	cdp	cdp	NOUN
cana-275	13	22	-	-	PUNCT
cana-275	13	23	del	del	NOUN
cana-275	13	24	to	to	ADP
cana-275	13	25	more	more	ADJ
cana-275	13	26	conventional	conventional	ADJ
cana-275	13	27	methods	method	NOUN
cana-275	13	28	show	show	VERB
cana-275	13	29	that	that	SCONJ
cana-275	13	30	it	it	PRON
cana-275	13	31	is	be	AUX
cana-275	13	32	more	more	ADV
cana-275	13	33	effective	effective	ADJ
cana-275	13	34	at	at	ADP
cana-275	13	35	predicting	predict	VERB
cana-275	13	36	chaotic	chaotic	ADJ
cana-275	13	37	behavior	behavior	NOUN
cana-275	13	38	and	and	CCONJ
cana-275	13	39	overall	overall	ADJ
cana-275	13	40	outperforms	outperform	VERB
cana-275	13	41	the	the	DET
cana-275	13	42	competition	competition	NOUN
cana-275	13	43	.	.	PUNCT
cana-275	14	1	keywords	keyword	NOUN
cana-275	14	2	:	:	PUNCT
cana-275	14	3	machine	machine	NOUN
cana-275	14	4	learning	learning	NOUN
cana-275	14	5	,	,	PUNCT
cana-275	14	6	chaotic	chaotic	ADJ
cana-275	14	7	behavior	behavior	NOUN
cana-275	14	8	,	,	PUNCT
cana-275	14	9	nonlinear	nonlinear	ADJ
cana-275	14	10	systems	system	NOUN
cana-275	14	11	,	,	PUNCT
cana-275	14	12	chaotic	chaotic	ADJ
cana-275	14	13	dynamics	dynamic	NOUN
cana-275	14	14	,	,	PUNCT
cana-275	14	15	prediction	prediction	NOUN
cana-275	14	16	,	,	PUNCT
cana-275	14	17	deep	deep	ADJ
cana-275	14	18	learning	learning	NOUN
cana-275	14	19	.	.	PUNCT
cana-275	15	1	1	1	X
cana-275	15	2	.	.	X
cana-275	15	3	introduction	introduction	NOUN
cana-275	15	4	the	the	DET
cana-275	15	5	use	use	NOUN
cana-275	15	6	of	of	ADP
cana-275	15	7	machine	machine	NOUN
cana-275	15	8	learning	learn	VERB
cana-275	15	9	techniques	technique	NOUN
cana-275	15	10	for	for	ADP
cana-275	15	11	the	the	DET
cana-275	15	12	prediction	prediction	NOUN
cana-275	15	13	of	of	ADP
cana-275	15	14	chaotic	chaotic	ADJ
cana-275	15	15	behavior	behavior	NOUN
cana-275	15	16	in	in	ADP
cana-275	15	17	nonlinear	nonlinear	ADJ
cana-275	15	18	systems	system	NOUN
cana-275	15	19	is	be	AUX
cana-275	15	20	fraught	fraught	ADJ
cana-275	15	21	with	with	ADP
cana-275	15	22	difficulties	difficulty	NOUN
cana-275	15	23	[	[	X
cana-275	15	24	1	1	NUM
cana-275	15	25	]	]	PUNCT
cana-275	15	26	.	.	PUNCT
cana-275	16	1	chaotic	chaotic	ADJ
cana-275	16	2	systems	system	NOUN
cana-275	16	3	are	be	AUX
cana-275	16	4	difficult	difficult	ADJ
cana-275	16	5	to	to	PART
cana-275	16	6	represent	represent	VERB
cana-275	16	7	precisely	precisely	ADV
cana-275	16	8	due	due	ADJ
cana-275	16	9	to	to	ADP
cana-275	16	10	their	their	PRON
cana-275	16	11	intrinsic	intrinsic	ADJ
cana-275	16	12	complexity	complexity	NOUN
cana-275	16	13	and	and	CCONJ
cana-275	16	14	sensitivity	sensitivity	NOUN
cana-275	16	15	to	to	ADP
cana-275	16	16	starting	start	VERB
cana-275	16	17	conditions	condition	NOUN
cana-275	16	18	[	[	X
cana-275	16	19	2	2	NUM
cana-275	16	20	]	]	PUNCT
cana-275	16	21	.	.	PUNCT
cana-275	17	1	the	the	DET
cana-275	17	2	complex	complex	ADJ
cana-275	17	3	dynamics	dynamic	NOUN
cana-275	17	4	of	of	ADP
cana-275	17	5	chaotic	chaotic	ADJ
cana-275	17	6	systems	system	NOUN
cana-275	17	7	can	can	AUX
cana-275	17	8	be	be	AUX
cana-275	17	9	difficult	difficult	ADJ
cana-275	17	10	for	for	SCONJ
cana-275	17	11	traditional	traditional	ADJ
cana-275	17	12	machine	machine	NOUN
cana-275	17	13	learning	learn	VERB
cana-275	17	14	methods	method	NOUN
cana-275	17	15	to	to	PART
cana-275	17	16	grasp	grasp	VERB
cana-275	17	17	because	because	SCONJ
cana-275	17	18	these	these	DET
cana-275	17	19	algorithms	algorithm	NOUN
cana-275	17	20	are	be	AUX
cana-275	17	21	designed	design	VERB
cana-275	17	22	to	to	PART
cana-275	17	23	handle	handle	VERB
cana-275	17	24	low	low	ADJ
cana-275	17	25	-	-	PUNCT
cana-275	17	26	dimensional	dimensional	ADJ
cana-275	17	27	,	,	PUNCT
cana-275	17	28	non	non	ADJ
cana-275	17	29	-	-	ADJ
cana-275	17	30	smooth	smooth	ADJ
cana-275	17	31	data	datum	NOUN
cana-275	17	32	and	and	CCONJ
cana-275	17	33	frequently	frequently	ADV
cana-275	17	34	depend	depend	VERB
cana-275	17	35	on	on	ADP
cana-275	17	36	linear	linear	ADJ
cana-275	17	37	assumptions	assumption	NOUN
cana-275	18	1	[	[	X
cana-275	18	2	3	3	NUM
cana-275	18	3	]	]	PUNCT
cana-275	18	4	.	.	PUNCT
cana-275	19	1	even	even	ADV
cana-275	19	2	little	little	ADJ
cana-275	19	3	noise	noise	NOUN
cana-275	19	4	can	can	AUX
cana-275	19	5	have	have	VERB
cana-275	19	6	a	a	DET
cana-275	19	7	big	big	ADJ
cana-275	19	8	impact	impact	NOUN
cana-275	19	9	on	on	ADP
cana-275	19	10	chaotic	chaotic	ADJ
cana-275	19	11	systems	system	NOUN
cana-275	19	12	,	,	PUNCT
cana-275	19	13	making	make	VERB
cana-275	19	14	it	it	PRON
cana-275	19	15	difficult	difficult	ADJ
cana-275	19	16	to	to	PART
cana-275	19	17	make	make	VERB
cana-275	19	18	accurate	accurate	ADJ
cana-275	19	19	predictions	prediction	NOUN
cana-275	19	20	[	[	X
cana-275	19	21	4	4	NUM
cana-275	19	22	]	]	PUNCT
cana-275	19	23	.	.	PUNCT
cana-275	20	1	this	this	DET
cana-275	20	2	sensitivity	sensitivity	NOUN
cana-275	20	3	is	be	AUX
cana-275	20	4	a	a	DET
cana-275	20	5	big	big	ADJ
cana-275	20	6	problem	problem	NOUN
cana-275	20	7	for	for	ADP
cana-275	20	8	machine	machine	NOUN
cana-275	20	9	learning	learn	VERB
cana-275	20	10	algorithms	algorithm	NOUN
cana-275	20	11	since	since	SCONJ
cana-275	20	12	they	they	PRON
cana-275	20	13	could	could	AUX
cana-275	20	14	be	be	AUX
cana-275	20	15	easily	easily	ADV
cana-275	20	16	fooled	fool	VERB
cana-275	20	17	by	by	ADP
cana-275	20	18	data	datum	NOUN
cana-275	20	19	noise	noise	NOUN
cana-275	20	20	and	and	CCONJ
cana-275	20	21	have	have	VERB
cana-275	20	22	a	a	DET
cana-275	20	23	hard	hard	ADJ
cana-275	20	24	time	time	NOUN
cana-275	20	25	differentiating	differentiate	VERB
cana-275	20	26	between	between	ADP
cana-275	20	27	random	random	ADJ
cana-275	20	28	fluctuations	fluctuation	NOUN
cana-275	20	29	and	and	CCONJ
cana-275	20	30	chaotic	chaotic	ADJ
cana-275	20	31	patterns	pattern	NOUN
cana-275	20	32	[	[	X
cana-275	20	33	5	5	NUM
cana-275	20	34	]	]	PUNCT
cana-275	20	35	.	.	PUNCT
cana-275	21	1	another	another	DET
cana-275	21	2	important	important	ADJ
cana-275	21	3	issue	issue	NOUN
cana-275	21	4	with	with	ADP
cana-275	21	5	chaotic	chaotic	ADJ
cana-275	21	6	systems	system	NOUN
cana-275	21	7	is	be	AUX
cana-275	21	8	their	their	PRON
cana-275	21	9	long	long	ADJ
cana-275	21	10	-	-	PUNCT
cana-275	21	11	term	term	NOUN
cana-275	21	12	predictability	predictability	NOUN
cana-275	21	13	,	,	PUNCT
cana-275	21	14	since	since	SCONJ
cana-275	21	15	even	even	ADV
cana-275	21	16	little	little	ADJ
cana-275	21	17	communications	communication	NOUN
cana-275	21	18	on	on	ADP
cana-275	21	19	applied	apply	VERB
cana-275	21	20	nonlinear	nonlinear	ADJ
cana-275	21	21	analysis	analysis	NOUN
cana-275	21	22	issn	issn	NOUN
cana-275	21	23	:	:	PUNCT
cana-275	21	24	1074	1074	NUM
cana-275	21	25	-	-	PUNCT
cana-275	21	26	133x	133x	NUM
cana-275	21	27	vol	vol	NOUN
cana-275	21	28	30	30	NUM
cana-275	21	29	no	no	NOUN
cana-275	21	30	.	.	NOUN
cana-275	21	31	3	3	NUM
cana-275	21	32	(	(	PUNCT
cana-275	21	33	2023	2023	NUM
cana-275	21	34	)	)	PUNCT
cana-275	21	35	2	2	NUM
cana-275	21	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	21	37	mistakes	mistake	NOUN
cana-275	21	38	in	in	ADP
cana-275	21	39	the	the	DET
cana-275	21	40	starting	starting	NOUN
cana-275	21	41	conditions	condition	NOUN
cana-275	21	42	can	can	AUX
cana-275	21	43	add	add	VERB
cana-275	21	44	up	up	ADP
cana-275	21	45	and	and	CCONJ
cana-275	21	46	cause	cause	VERB
cana-275	21	47	different	different	ADJ
cana-275	21	48	predictions	prediction	NOUN
cana-275	21	49	[	[	X
cana-275	21	50	6	6	NUM
cana-275	21	51	]	]	PUNCT
cana-275	21	52	.	.	PUNCT
cana-275	22	1	building	build	VERB
cana-275	22	2	ml	ml	ADP
cana-275	22	3	models	model	NOUN
cana-275	22	4	robust	robust	ADJ
cana-275	22	5	enough	enough	ADV
cana-275	22	6	to	to	PART
cana-275	22	7	face	face	VERB
cana-275	22	8	these	these	DET
cana-275	22	9	problems	problem	NOUN
cana-275	22	10	calls	call	VERB
cana-275	22	11	for	for	ADP
cana-275	22	12	in	in	ADP
cana-275	22	13	-	-	PUNCT
cana-275	22	14	depth	depth	NOUN
cana-275	22	15	familiarity	familiarity	NOUN
cana-275	22	16	of	of	ADP
cana-275	22	17	the	the	DET
cana-275	22	18	algorithms	algorithm	NOUN
cana-275	22	19	'	'	PART
cana-275	23	1	[	[	X
cana-275	23	2	7	7	NUM
cana-275	23	3	]	]	ADJ
cana-275	23	4	constraints	constraint	NOUN
cana-275	23	5	as	as	ADV
cana-275	23	6	well	well	ADV
cana-275	23	7	as	as	ADP
cana-275	23	8	the	the	DET
cana-275	23	9	chaotic	chaotic	ADJ
cana-275	23	10	dynamics	dynamic	NOUN
cana-275	23	11	at	at	ADP
cana-275	23	12	work	work	NOUN
cana-275	23	13	[	[	X
cana-275	23	14	8	8	NUM
cana-275	23	15	]	]	PUNCT
cana-275	23	16	.	.	PUNCT
cana-275	24	1	although	although	SCONJ
cana-275	24	2	new	new	ADJ
cana-275	24	3	methods	method	NOUN
cana-275	24	4	like	like	ADP
cana-275	24	5	reservoir	reservoir	NOUN
cana-275	24	6	computing	computing	NOUN
cana-275	24	7	and	and	CCONJ
cana-275	24	8	recurrent	recurrent	ADJ
cana-275	24	9	neural	neural	ADJ
cana-275	24	10	networks	network	NOUN
cana-275	24	11	are	be	AUX
cana-275	24	12	being	be	AUX
cana-275	24	13	investigated	investigate	VERB
cana-275	24	14	to	to	PART
cana-275	24	15	solve	solve	VERB
cana-275	24	16	these	these	DET
cana-275	24	17	problems	problem	NOUN
cana-275	24	18	[	[	X
cana-275	24	19	9	9	NUM
cana-275	24	20	]	]	PUNCT
cana-275	24	21	,	,	PUNCT
cana-275	24	22	the	the	DET
cana-275	24	23	prediction	prediction	NOUN
cana-275	24	24	of	of	ADP
cana-275	24	25	chaotic	chaotic	ADJ
cana-275	24	26	behavior	behavior	NOUN
cana-275	24	27	in	in	ADP
cana-275	24	28	nonlinear	nonlinear	ADJ
cana-275	24	29	systems	system	NOUN
cana-275	24	30	is	be	AUX
cana-275	24	31	still	still	ADV
cana-275	24	32	a	a	DET
cana-275	24	33	complicated	complicated	ADJ
cana-275	24	34	and	and	CCONJ
cana-275	24	35	developing	develop	VERB
cana-275	24	36	field	field	NOUN
cana-275	24	37	of	of	ADP
cana-275	24	38	study	study	NOUN
cana-275	24	39	at	at	ADP
cana-275	24	40	the	the	DET
cana-275	24	41	crossing	crossing	NOUN
cana-275	24	42	of	of	ADP
cana-275	24	43	chaos	chaos	NOUN
cana-275	24	44	theory	theory	NOUN
cana-275	24	45	and	and	CCONJ
cana-275	24	46	machine	machine	NOUN
cana-275	24	47	learning	learn	VERB
cana-275	24	48	[	[	X
cana-275	24	49	10	10	NUM
cana-275	24	50	]	]	PUNCT
cana-275	24	51	.	.	PUNCT
cana-275	25	1	the	the	DET
cana-275	25	2	intricacies	intricacy	NOUN
cana-275	25	3	of	of	ADP
cana-275	25	4	chaotic	chaotic	ADJ
cana-275	25	5	dynamics	dynamic	NOUN
cana-275	25	6	are	be	AUX
cana-275	25	7	tackled	tackle	VERB
cana-275	25	8	by	by	ADP
cana-275	25	9	machine	machine	NOUN
cana-275	25	10	learning	learning	NOUN
cana-275	25	11	methods	method	NOUN
cana-275	25	12	that	that	PRON
cana-275	25	13	attempt	attempt	VERB
cana-275	25	14	to	to	PART
cana-275	25	15	forecast	forecast	VERB
cana-275	25	16	chaotic	chaotic	ADJ
cana-275	25	17	behavior	behavior	NOUN
cana-275	25	18	in	in	ADP
cana-275	25	19	nonlinear	nonlinear	ADJ
cana-275	25	20	systems	system	NOUN
cana-275	25	21	[	[	X
cana-275	25	22	11	11	NUM
cana-275	25	23	]	]	PUNCT
cana-275	25	24	.	.	PUNCT
cana-275	26	1	when	when	SCONJ
cana-275	26	2	it	it	PRON
cana-275	26	3	comes	come	VERB
cana-275	26	4	to	to	ADP
cana-275	26	5	identifying	identify	VERB
cana-275	26	6	patterns	pattern	NOUN
cana-275	26	7	and	and	CCONJ
cana-275	26	8	temporal	temporal	ADJ
cana-275	26	9	dependencies	dependency	NOUN
cana-275	26	10	in	in	ADP
cana-275	26	11	chaotic	chaotic	ADJ
cana-275	26	12	time	time	NOUN
cana-275	26	13	-	-	PUNCT
cana-275	26	14	series	series	NOUN
cana-275	26	15	data	datum	NOUN
cana-275	26	16	,	,	PUNCT
cana-275	26	17	recurrent	recurrent	ADJ
cana-275	26	18	neural	neural	ADJ
cana-275	26	19	networks	network	NOUN
cana-275	26	20	(	(	PUNCT
cana-275	26	21	rnns	rnns	PROPN
cana-275	26	22	)	)	PUNCT
cana-275	27	1	[	[	X
cana-275	27	2	12	12	NUM
cana-275	27	3	]	]	PUNCT
cana-275	27	4	and	and	CCONJ
cana-275	27	5	lstm	lstm	NOUN
cana-275	27	6	networks	network	NOUN
cana-275	27	7	in	in	ADP
cana-275	27	8	particular	particular	ADJ
cana-275	27	9	have	have	AUX
cana-275	27	10	demonstrated	demonstrate	VERB
cana-275	27	11	potential	potential	ADJ
cana-275	27	12	.	.	PUNCT
cana-275	28	1	another	another	DET
cana-275	28	2	method	method	NOUN
cana-275	28	3	that	that	PRON
cana-275	28	4	has	have	AUX
cana-275	28	5	been	be	AUX
cana-275	28	6	effective	effective	ADJ
cana-275	28	7	in	in	ADP
cana-275	28	8	modeling	model	VERB
cana-275	28	9	chaotic	chaotic	ADJ
cana-275	28	10	systems	system	NOUN
cana-275	28	11	is	be	AUX
cana-275	28	12	reservoir	reservoir	NOUN
cana-275	28	13	computing	computing	NOUN
cana-275	28	14	,	,	PUNCT
cana-275	28	15	which	which	PRON
cana-275	28	16	uses	use	VERB
cana-275	28	17	a	a	DET
cana-275	28	18	fixed	fix	VERB
cana-275	28	19	random	random	ADJ
cana-275	28	20	structure	structure	NOUN
cana-275	28	21	to	to	PART
cana-275	28	22	analyze	analyze	VERB
cana-275	28	23	temporal	temporal	ADJ
cana-275	28	24	information	information	NOUN
cana-275	28	25	[	[	X
cana-275	28	26	13	13	NUM
cana-275	28	27	]	]	PUNCT
cana-275	28	28	.	.	PUNCT
cana-275	29	1	in	in	ADP
cana-275	29	2	addition	addition	NOUN
cana-275	29	3	,	,	PUNCT
cana-275	29	4	optimization	optimization	NOUN
cana-275	29	5	techniques	technique	NOUN
cana-275	29	6	like	like	ADP
cana-275	29	7	particle	particle	NOUN
cana-275	29	8	swarm	swarm	NOUN
cana-275	29	9	optimization	optimization	NOUN
cana-275	29	10	and	and	CCONJ
cana-275	29	11	genetic	genetic	ADJ
cana-275	29	12	algorithms	algorithm	NOUN
cana-275	29	13	are	be	AUX
cana-275	29	14	used	use	VERB
cana-275	29	15	to	to	ADP
cana-275	29	16	fine	fine	ADJ
cana-275	29	17	-	-	PUNCT
cana-275	29	18	tune	tune	NOUN
cana-275	29	19	model	model	NOUN
cana-275	29	20	parameters	parameter	NOUN
cana-275	29	21	,	,	PUNCT
cana-275	29	22	making	make	VERB
cana-275	29	23	them	they	PRON
cana-275	29	24	more	more	ADV
cana-275	29	25	predictive	predictive	ADJ
cana-275	30	1	[	[	X
cana-275	30	2	14	14	NUM
cana-275	30	3	]	]	PUNCT
cana-275	30	4	.	.	PUNCT
cana-275	31	1	there	there	PRON
cana-275	31	2	are	be	VERB
cana-275	31	3	still	still	ADV
cana-275	31	4	major	major	ADJ
cana-275	31	5	obstacles	obstacle	NOUN
cana-275	31	6	to	to	PART
cana-275	31	7	overcome	overcome	VERB
cana-275	31	8	,	,	PUNCT
cana-275	31	9	even	even	ADV
cana-275	31	10	with	with	ADP
cana-275	31	11	these	these	DET
cana-275	31	12	improvements	improvement	NOUN
cana-275	31	13	.	.	PUNCT
cana-275	32	1	precise	precise	ADJ
cana-275	32	2	and	and	CCONJ
cana-275	32	3	noise	noise	NOUN
cana-275	32	4	-	-	PUNCT
cana-275	32	5	resistant	resistant	ADJ
cana-275	32	6	models	model	NOUN
cana-275	32	7	are	be	AUX
cana-275	32	8	necessary	necessary	ADJ
cana-275	32	9	for	for	ADP
cana-275	32	10	chaotic	chaotic	ADJ
cana-275	32	11	systems	system	NOUN
cana-275	32	12	since	since	SCONJ
cana-275	32	13	they	they	PRON
cana-275	32	14	are	be	AUX
cana-275	32	15	very	very	ADV
cana-275	32	16	sensitive	sensitive	ADJ
cana-275	32	17	to	to	ADP
cana-275	32	18	starting	start	VERB
cana-275	32	19	conditions	condition	NOUN
cana-275	32	20	[	[	X
cana-275	32	21	15	15	NUM
cana-275	32	22	]	]	PUNCT
cana-275	32	23	.	.	PUNCT
cana-275	33	1	complex	complex	ADJ
cana-275	33	2	data	datum	NOUN
cana-275	33	3	structures	structure	NOUN
cana-275	33	4	and	and	CCONJ
cana-275	33	5	high	high	ADJ
cana-275	33	6	data	datum	NOUN
cana-275	33	7	dimensions	dimension	NOUN
cana-275	33	8	can	can	AUX
cana-275	33	9	be	be	AUX
cana-275	33	10	a	a	DET
cana-275	33	11	challenge	challenge	NOUN
cana-275	33	12	for	for	ADP
cana-275	33	13	traditional	traditional	ADJ
cana-275	33	14	machine	machine	NOUN
cana-275	33	15	learning	learning	NOUN
cana-275	33	16	methods	method	NOUN
cana-275	33	17	[	[	X
cana-275	33	18	16	16	NUM
cana-275	33	19	]	]	PUNCT
cana-275	33	20	.	.	PUNCT
cana-275	34	1	finding	find	VERB
cana-275	34	2	the	the	DET
cana-275	34	3	sweet	sweet	ADJ
cana-275	34	4	spot	spot	NOUN
cana-275	34	5	when	when	SCONJ
cana-275	34	6	incorporating	incorporate	VERB
cana-275	34	7	domain	domain	NOUN
cana-275	34	8	knowledge	knowledge	NOUN
cana-275	34	9	is	be	AUX
cana-275	34	10	difficult	difficult	ADJ
cana-275	34	11	.	.	PUNCT
cana-275	35	1	in	in	ADP
cana-275	35	2	addition	addition	NOUN
cana-275	35	3	,	,	PUNCT
cana-275	35	4	unstable	unstable	ADJ
cana-275	35	5	models	model	NOUN
cana-275	35	6	are	be	AUX
cana-275	35	7	required	require	VERB
cana-275	35	8	for	for	ADP
cana-275	35	9	long	long	ADJ
cana-275	35	10	-	-	PUNCT
cana-275	35	11	term	term	NOUN
cana-275	35	12	predictions	prediction	NOUN
cana-275	35	13	in	in	ADP
cana-275	35	14	chaotic	chaotic	ADJ
cana-275	35	15	systems	system	NOUN
cana-275	35	16	because	because	SCONJ
cana-275	35	17	of	of	ADP
cana-275	35	18	the	the	DET
cana-275	35	19	problem	problem	NOUN
cana-275	35	20	of	of	ADP
cana-275	35	21	diverging	diverge	VERB
cana-275	35	22	trajectories	trajectory	NOUN
cana-275	35	23	caused	cause	VERB
cana-275	35	24	by	by	ADP
cana-275	35	25	tiny	tiny	ADJ
cana-275	35	26	mistakes	mistake	NOUN
cana-275	35	27	.	.	PUNCT
cana-275	36	1	chaotic	chaotic	ADJ
cana-275	36	2	systems	system	NOUN
cana-275	36	3	often	often	ADV
cana-275	36	4	have	have	VERB
cana-275	36	5	scarce	scarce	ADJ
cana-275	36	6	and	and	CCONJ
cana-275	36	7	noisy	noisy	ADJ
cana-275	36	8	data	datum	NOUN
cana-275	36	9	,	,	PUNCT
cana-275	36	10	which	which	PRON
cana-275	36	11	further	far	ADV
cana-275	36	12	complicates	complicate	VERB
cana-275	36	13	matters	matter	NOUN
cana-275	36	14	.	.	PUNCT
cana-275	37	1	additional	additional	ADJ
cana-275	37	2	difficulties	difficulty	NOUN
cana-275	37	3	arise	arise	VERB
cana-275	37	4	when	when	SCONJ
cana-275	37	5	trying	try	VERB
cana-275	37	6	to	to	PART
cana-275	37	7	validate	validate	VERB
cana-275	37	8	and	and	CCONJ
cana-275	37	9	generalize	generalize	VERB
cana-275	37	10	models	model	NOUN
cana-275	37	11	to	to	ADP
cana-275	37	12	other	other	ADJ
cana-275	37	13	chaotic	chaotic	ADJ
cana-275	37	14	systems	system	NOUN
cana-275	37	15	.	.	PUNCT
cana-275	38	1	experts	expert	NOUN
cana-275	38	2	in	in	ADP
cana-275	38	3	chaos	chaos	NOUN
cana-275	38	4	theory	theory	NOUN
cana-275	38	5	and	and	CCONJ
cana-275	38	6	machine	machine	NOUN
cana-275	38	7	learning	learning	NOUN
cana-275	38	8	will	will	AUX
cana-275	38	9	need	need	VERB
cana-275	38	10	to	to	PART
cana-275	38	11	work	work	VERB
cana-275	38	12	together	together	ADV
cana-275	38	13	to	to	PART
cana-275	38	14	solve	solve	VERB
cana-275	38	15	this	this	DET
cana-275	38	16	multidisciplinary	multidisciplinary	ADJ
cana-275	38	17	problem	problem	NOUN
cana-275	38	18	.	.	PUNCT
cana-275	39	1	overcoming	overcome	VERB
cana-275	39	2	these	these	DET
cana-275	39	3	issues	issue	NOUN
cana-275	39	4	is	be	AUX
cana-275	39	5	crucial	crucial	ADJ
cana-275	39	6	for	for	ADP
cana-275	39	7	improving	improve	VERB
cana-275	39	8	the	the	DET
cana-275	39	9	reliability	reliability	NOUN
cana-275	39	10	and	and	CCONJ
cana-275	39	11	practicality	practicality	NOUN
cana-275	39	12	of	of	ADP
cana-275	39	13	machine	machine	NOUN
cana-275	39	14	learning	learning	NOUN
cana-275	39	15	models	model	NOUN
cana-275	39	16	in	in	ADP
cana-275	39	17	forecasting	forecast	VERB
cana-275	39	18	chaotic	chaotic	ADJ
cana-275	39	19	behavior	behavior	NOUN
cana-275	39	20	,	,	PUNCT
cana-275	39	21	even	even	ADV
cana-275	39	22	though	though	SCONJ
cana-275	39	23	machine	machine	NOUN
cana-275	39	24	learning	learning	NOUN
cana-275	39	25	has	have	VERB
cana-275	39	26	potential	potential	NOUN
cana-275	39	27	in	in	ADP
cana-275	39	28	this	this	DET
cana-275	39	29	area	area	NOUN
cana-275	39	30	.	.	PUNCT
cana-275	40	1	•	•	NUM
cana-275	40	2	recognizing	recognize	VERB
cana-275	40	3	the	the	DET
cana-275	40	4	difficulty	difficulty	NOUN
cana-275	40	5	in	in	ADP
cana-275	40	6	predicting	predict	VERB
cana-275	40	7	chaotic	chaotic	ADJ
cana-275	40	8	behavior	behavior	NOUN
cana-275	40	9	in	in	ADP
cana-275	40	10	complex	complex	ADJ
cana-275	40	11	nonlinear	nonlinear	ADJ
cana-275	40	12	systems	system	NOUN
cana-275	40	13	due	due	ADP
cana-275	40	14	to	to	ADP
cana-275	40	15	their	their	PRON
cana-275	40	16	apparent	apparent	ADJ
cana-275	40	17	absence	absence	NOUN
cana-275	40	18	of	of	ADP
cana-275	40	19	patterns	pattern	NOUN
cana-275	40	20	and	and	CCONJ
cana-275	40	21	sensitivity	sensitivity	NOUN
cana-275	40	22	to	to	ADP
cana-275	40	23	beginning	begin	VERB
cana-275	40	24	conditions	condition	NOUN
cana-275	40	25	,	,	PUNCT
cana-275	40	26	the	the	DET
cana-275	40	27	research	research	NOUN
cana-275	40	28	seeks	seek	VERB
cana-275	40	29	to	to	PART
cana-275	40	30	make	make	VERB
cana-275	40	31	progress	progress	NOUN
cana-275	40	32	in	in	ADP
cana-275	40	33	this	this	DET
cana-275	40	34	area	area	NOUN
cana-275	40	35	.	.	PUNCT
cana-275	41	1	•	•	NUM
cana-275	41	2	the	the	DET
cana-275	41	3	main	main	ADJ
cana-275	41	4	emphasis	emphasis	NOUN
cana-275	41	5	is	be	AUX
cana-275	41	6	on	on	ADP
cana-275	41	7	presenting	present	VERB
cana-275	41	8	and	and	CCONJ
cana-275	41	9	applying	apply	VERB
cana-275	41	10	the	the	DET
cana-275	41	11	cdp	cdp	NOUN
cana-275	41	12	-	-	PUNCT
cana-275	41	13	del	del	ADJ
cana-275	41	14	method	method	NOUN
cana-275	41	15	,	,	PUNCT
cana-275	41	16	which	which	PRON
cana-275	41	17	combines	combine	VERB
cana-275	41	18	deep	deep	ADJ
cana-275	41	19	learning	learning	NOUN
cana-275	41	20	architectures	architecture	NOUN
cana-275	41	21	with	with	ADP
cana-275	41	22	ensemble	ensemble	ADJ
cana-275	41	23	learning	learning	NOUN
cana-275	41	24	techniques	technique	NOUN
cana-275	41	25	to	to	PART
cana-275	41	26	enhance	enhance	VERB
cana-275	41	27	generalizability	generalizability	NOUN
cana-275	41	28	and	and	CCONJ
cana-275	41	29	capture	capture	VERB
cana-275	41	30	complex	complex	ADJ
cana-275	41	31	nonlinear	nonlinear	ADJ
cana-275	41	32	interactions	interaction	NOUN
cana-275	41	33	;	;	PUNCT
cana-275	41	34	this	this	DET
cana-275	41	35	approach	approach	NOUN
cana-275	41	36	aims	aim	VERB
cana-275	41	37	to	to	PART
cana-275	41	38	predict	predict	VERB
cana-275	41	39	chaotic	chaotic	ADJ
cana-275	41	40	dynamics	dynamic	NOUN
cana-275	41	41	.	.	PUNCT
cana-275	42	1	•	•	NUM
cana-275	42	2	the	the	DET
cana-275	42	3	main	main	ADJ
cana-275	42	4	objective	objective	NOUN
cana-275	42	5	is	be	AUX
cana-275	42	6	to	to	PART
cana-275	42	7	demonstrate	demonstrate	VERB
cana-275	42	8	how	how	SCONJ
cana-275	42	9	versatile	versatile	ADJ
cana-275	42	10	cdp	cdp	VERB
cana-275	42	11	-	-	PUNCT
cana-275	42	12	del	del	NOUN
cana-275	42	13	is	be	AUX
cana-275	42	14	in	in	ADP
cana-275	42	15	many	many	ADJ
cana-275	42	16	different	different	ADJ
cana-275	42	17	contexts	contexts	NOUN
cana-275	42	18	,	,	PUNCT
cana-275	42	19	including	include	VERB
cana-275	42	20	control	control	NOUN
cana-275	42	21	systems	system	NOUN
cana-275	42	22	,	,	PUNCT
cana-275	42	23	ecological	ecological	ADJ
cana-275	42	24	research	research	NOUN
cana-275	42	25	,	,	PUNCT
cana-275	42	26	financial	financial	ADJ
cana-275	42	27	modeling	modeling	NOUN
cana-275	42	28	,	,	PUNCT
cana-275	42	29	and	and	CCONJ
cana-275	42	30	weather	weather	NOUN
cana-275	42	31	forecasting	forecasting	NOUN
cana-275	42	32	.	.	PUNCT
cana-275	43	1	by	by	ADP
cana-275	43	2	outperforming	outperform	VERB
cana-275	43	3	traditional	traditional	ADJ
cana-275	43	4	approaches	approach	NOUN
cana-275	43	5	in	in	ADP
cana-275	43	6	comprehensive	comprehensive	ADJ
cana-275	43	7	simulation	simulation	NOUN
cana-275	43	8	evaluations	evaluation	NOUN
cana-275	43	9	,	,	PUNCT
cana-275	43	10	the	the	DET
cana-275	43	11	research	research	NOUN
cana-275	43	12	highlights	highlight	VERB
cana-275	43	13	cdp	cdp	NOUN
cana-275	43	14	-	-	PUNCT
cana-275	43	15	del	del	PROPN
cana-275	43	16	's	's	PART
cana-275	43	17	ability	ability	NOUN
cana-275	43	18	to	to	PART
cana-275	43	19	optimize	optimize	VERB
cana-275	43	20	decision	decision	NOUN
cana-275	43	21	-	-	PUNCT
cana-275	43	22	making	make	VERB
cana-275	43	23	processes	process	NOUN
cana-275	43	24	in	in	ADP
cana-275	43	25	real	real	ADJ
cana-275	43	26	-	-	PUNCT
cana-275	43	27	world	world	NOUN
cana-275	43	28	scenarios	scenario	NOUN
cana-275	43	29	with	with	ADP
cana-275	43	30	substantial	substantial	ADJ
cana-275	43	31	chaotic	chaotic	ADJ
cana-275	43	32	dynamics	dynamic	NOUN
cana-275	43	33	consequences	consequence	NOUN
cana-275	43	34	.	.	PUNCT
cana-275	44	1	the	the	DET
cana-275	44	2	following	follow	VERB
cana-275	44	3	sections	section	NOUN
cana-275	44	4	constitute	constitute	VERB
cana-275	44	5	the	the	DET
cana-275	44	6	remainder	remainder	NOUN
cana-275	44	7	of	of	ADP
cana-275	44	8	the	the	DET
cana-275	44	9	document	document	NOUN
cana-275	44	10	:	:	PUNCT
cana-275	44	11	in	in	ADP
cana-275	44	12	section	section	PROPN
cana-275	44	13	ii	ii	PROPN
cana-275	44	14	,	,	PUNCT
cana-275	44	15	examines	examine	VERB
cana-275	44	16	the	the	DET
cana-275	44	17	present	present	ADJ
cana-275	44	18	state	state	NOUN
cana-275	44	19	of	of	ADP
cana-275	44	20	the	the	DET
cana-275	44	21	field	field	NOUN
cana-275	44	22	and	and	CCONJ
cana-275	44	23	identify	identify	VERB
cana-275	44	24	areas	area	NOUN
cana-275	44	25	that	that	PRON
cana-275	44	26	require	require	VERB
cana-275	44	27	further	further	ADJ
cana-275	44	28	research	research	NOUN
cana-275	44	29	in	in	ADP
cana-275	44	30	the	the	DET
cana-275	44	31	prediction	prediction	NOUN
cana-275	44	32	of	of	ADP
cana-275	44	33	chaotic	chaotic	ADJ
cana-275	44	34	behavior	behavior	NOUN
cana-275	44	35	in	in	ADP
cana-275	44	36	nonlinear	nonlinear	ADJ
cana-275	44	37	systems	system	NOUN
cana-275	44	38	.	.	PUNCT
cana-275	45	1	a	a	DET
cana-275	45	2	revised	revise	VERB
cana-275	45	3	and	and	CCONJ
cana-275	45	4	enhanced	enhance	VERB
cana-275	45	5	version	version	NOUN
cana-275	45	6	of	of	ADP
cana-275	45	7	cdp	cdp	PROPN
cana-275	45	8	-	-	PUNCT
cana-275	45	9	del	del	NOUN
cana-275	45	10	,	,	PUNCT
cana-275	45	11	which	which	PRON
cana-275	45	12	stands	stand	VERB
cana-275	45	13	for	for	ADP
cana-275	45	14	chaotic	chaotic	ADJ
cana-275	45	15	dynamics	dynamic	NOUN
cana-275	45	16	prediction	prediction	NOUN
cana-275	45	17	using	use	VERB
cana-275	45	18	deep	deep	ADJ
cana-275	45	19	ensemble	ensemble	ADJ
cana-275	45	20	learning	learning	NOUN
cana-275	45	21	,	,	PUNCT
cana-275	45	22	has	have	AUX
cana-275	45	23	been	be	AUX
cana-275	45	24	provided	provide	VERB
cana-275	45	25	as	as	ADP
cana-275	45	26	a	a	DET
cana-275	45	27	solution	solution	NOUN
cana-275	45	28	in	in	ADP
cana-275	45	29	section	section	PROPN
cana-275	45	30	iii	iii	PROPN
cana-275	45	31	.	.	PUNCT
cana-275	45	32	section	section	NOUN
cana-275	45	33	iv	iv	NUM
cana-275	45	34	presents	present	VERB
cana-275	45	35	the	the	DET
cana-275	45	36	results	result	NOUN
cana-275	45	37	,	,	PUNCT
cana-275	45	38	analysis	analysis	NOUN
cana-275	45	39	,	,	PUNCT
cana-275	45	40	and	and	CCONJ
cana-275	45	41	comparisons	comparison	NOUN
cana-275	45	42	of	of	ADP
cana-275	45	43	the	the	DET
cana-275	45	44	experiments	experiment	NOUN
cana-275	45	45	compared	compare	VERB
cana-275	45	46	to	to	ADP
cana-275	45	47	earlier	early	ADJ
cana-275	45	48	methodologies	methodology	NOUN
cana-275	45	49	.	.	PUNCT
cana-275	46	1	a	a	DET
cana-275	46	2	final	final	ADJ
cana-275	46	3	analysis	analysis	NOUN
cana-275	46	4	and	and	CCONJ
cana-275	46	5	summary	summary	NOUN
cana-275	46	6	are	be	AUX
cana-275	46	7	presented	present	VERB
cana-275	46	8	in	in	ADP
cana-275	46	9	section	section	NOUN
cana-275	46	10	5	5	NUM
cana-275	46	11	.	.	PUNCT
cana-275	47	1	communications	communication	NOUN
cana-275	47	2	on	on	ADP
cana-275	47	3	applied	apply	VERB
cana-275	47	4	nonlinear	nonlinear	ADJ
cana-275	47	5	analysis	analysis	NOUN
cana-275	47	6	issn	issn	NOUN
cana-275	47	7	:	:	PUNCT
cana-275	47	8	1074	1074	NUM
cana-275	47	9	-	-	PUNCT
cana-275	47	10	133x	133x	NUM
cana-275	47	11	vol	vol	NOUN
cana-275	47	12	30	30	NUM
cana-275	47	13	no	no	NOUN
cana-275	47	14	.	.	NOUN
cana-275	47	15	3	3	NUM
cana-275	47	16	(	(	PUNCT
cana-275	47	17	2023	2023	NUM
cana-275	47	18	)	)	PUNCT
cana-275	47	19	3	3	NUM
cana-275	47	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	47	21	2	2	X
cana-275	47	22	.	.	X
cana-275	48	1	literature	literature	NOUN
cana-275	48	2	survey	survey	VERB
cana-275	48	3	several	several	ADJ
cana-275	48	4	research	research	NOUN
cana-275	48	5	examines	examine	VERB
cana-275	48	6	different	different	ADJ
cana-275	48	7	machine	machine	NOUN
cana-275	48	8	learning	learn	VERB
cana-275	48	9	algorithms	algorithm	NOUN
cana-275	48	10	in	in	ADP
cana-275	48	11	the	the	DET
cana-275	48	12	domain	domain	NOUN
cana-275	48	13	of	of	ADP
cana-275	48	14	chaotic	chaotic	ADJ
cana-275	48	15	systems	system	NOUN
cana-275	48	16	prediction	prediction	NOUN
cana-275	48	17	.	.	PUNCT
cana-275	49	1	the	the	DET
cana-275	49	2	multiscale	multiscale	ADJ
cana-275	49	3	spatiotemporal	spatiotemporal	ADJ
cana-275	49	4	lorenz	lorenz	PROPN
cana-275	49	5	96	96	NUM
cana-275	49	6	system	system	NOUN
cana-275	49	7	is	be	AUX
cana-275	49	8	subject	subject	ADJ
cana-275	49	9	to	to	ADP
cana-275	49	10	an	an	DET
cana-275	49	11	evaluation	evaluation	NOUN
cana-275	49	12	by	by	ADP
cana-275	49	13	chattopadhyay	chattopadhyay	PROPN
cana-275	49	14	,	,	PUNCT
cana-275	49	15	a.	a.	PROPN
cana-275	49	16	et	et	PROPN
cana-275	49	17	al	al	PROPN
cana-275	49	18	.	.	PROPN
cana-275	50	1	of	of	ADP
cana-275	50	2	three	three	NUM
cana-275	50	3	machine	machine	NOUN
cana-275	50	4	-	-	PUNCT
cana-275	50	5	learning	learn	VERB
cana-275	50	6	approaches	approach	NOUN
cana-275	50	7	:	:	PUNCT
cana-275	50	8	rc	rc	PROPN
cana-275	50	9	-	-	PUNCT
cana-275	50	10	esn	esn	PROPN
cana-275	50	11	,	,	PUNCT
cana-275	50	12	ann	ann	PROPN
cana-275	50	13	,	,	PUNCT
cana-275	50	14	and	and	CCONJ
cana-275	50	15	rnn	rnn	PROPN
cana-275	50	16	-	-	PUNCT
cana-275	50	17	lstm	lstm	PROPN
cana-275	50	18	.	.	PUNCT
cana-275	51	1	the	the	DET
cana-275	51	2	aim	aim	NOUN
cana-275	51	3	is	be	AUX
cana-275	51	4	to	to	PART
cana-275	51	5	forecast	forecast	VERB
cana-275	51	6	the	the	DET
cana-275	51	7	short	short	ADJ
cana-275	51	8	-	-	PUNCT
cana-275	51	9	term	term	NOUN
cana-275	51	10	evolution	evolution	NOUN
cana-275	51	11	and	and	CCONJ
cana-275	51	12	reproduce	reproduce	VERB
cana-275	51	13	the	the	DET
cana-275	51	14	long	long	ADJ
cana-275	51	15	-	-	PUNCT
cana-275	51	16	term	term	NOUN
cana-275	51	17	statistics	statistic	NOUN
cana-275	51	18	of	of	ADP
cana-275	51	19	the	the	DET
cana-275	51	20	system	system	NOUN
cana-275	51	21	.	.	PUNCT
cana-275	52	1	rc	rc	PROPN
cana-275	52	2	-	-	PUNCT
cana-275	52	3	esn	esn	PROPN
cana-275	52	4	[	[	X
cana-275	52	5	17	17	NUM
cana-275	52	6	]	]	PUNCT
cana-275	52	7	predicts	predict	VERB
cana-275	52	8	chaotic	chaotic	ADJ
cana-275	52	9	trajectories	trajectory	NOUN
cana-275	52	10	with	with	ADP
cana-275	52	11	more	more	ADJ
cana-275	52	12	accuracy	accuracy	NOUN
cana-275	52	13	for	for	ADP
cana-275	52	14	a	a	DET
cana-275	52	15	number	number	NOUN
cana-275	52	16	of	of	ADP
cana-275	52	17	lyapunov	lyapunov	ADJ
cana-275	52	18	timescales	timescale	NOUN
cana-275	52	19	than	than	ADP
cana-275	52	20	ann	ann	PROPN
cana-275	52	21	and	and	CCONJ
cana-275	52	22	rnnlstm	rnnlstm	NOUN
cana-275	52	23	do	do	AUX
cana-275	52	24	for	for	ADP
cana-275	52	25	shorter	short	ADJ
cana-275	52	26	time	time	NOUN
cana-275	52	27	periods	period	NOUN
cana-275	52	28	.	.	PUNCT
cana-275	53	1	while	while	SCONJ
cana-275	53	2	ann	ann	PROPN
cana-275	53	3	and	and	CCONJ
cana-275	53	4	rnn	rnn	PROPN
cana-275	53	5	-	-	PUNCT
cana-275	53	6	lstm	lstm	NOUN
cana-275	53	7	both	both	PRON
cana-275	53	8	show	show	VERB
cana-275	53	9	promise	promise	NOUN
cana-275	53	10	as	as	ADP
cana-275	53	11	prediction	prediction	NOUN
cana-275	53	12	models	model	NOUN
cana-275	53	13	,	,	PUNCT
cana-275	53	14	rnn	rnn	NOUN
cana-275	53	15	-	-	PUNCT
cana-275	53	16	lstm	lstm	NOUN
cana-275	53	17	performs	perform	VERB
cana-275	53	18	better	well	ADV
cana-275	53	19	.	.	PUNCT
cana-275	54	1	notably	notably	ADV
cana-275	54	2	,	,	PUNCT
cana-275	54	3	ann	ann	PROPN
cana-275	54	4	departs	depart	VERB
cana-275	54	5	from	from	ADP
cana-275	54	6	the	the	DET
cana-275	54	7	correct	correct	ADJ
cana-275	54	8	pdf	pdf	NOUN
cana-275	54	9	even	even	ADV
cana-275	54	10	at	at	ADP
cana-275	54	11	the	the	DET
cana-275	54	12	tails	tail	NOUN
cana-275	54	13	,	,	PUNCT
cana-275	54	14	whereas	whereas	SCONJ
cana-275	54	15	rc	rc	PROPN
cana-275	54	16	-	-	PUNCT
cana-275	54	17	esn	esn	PROPN
cana-275	54	18	and	and	CCONJ
cana-275	54	19	rnn	rnn	PROPN
cana-275	54	20	-	-	PUNCT
cana-275	54	21	lstm	lstm	NOUN
cana-275	54	22	keep	keep	VERB
cana-275	54	23	their	their	PRON
cana-275	54	24	probability	probability	NOUN
cana-275	54	25	density	density	NOUN
cana-275	54	26	curves	curve	NOUN
cana-275	54	27	close	close	ADV
cana-275	54	28	to	to	ADP
cana-275	54	29	it	it	PRON
cana-275	54	30	.	.	PUNCT
cana-275	55	1	the	the	DET
cana-275	55	2	results	result	NOUN
cana-275	55	3	could	could	AUX
cana-275	55	4	be	be	AUX
cana-275	55	5	useful	useful	ADJ
cana-275	55	6	for	for	ADP
cana-275	55	7	data	data	NOUN
cana-275	55	8	-	-	PUNCT
cana-275	55	9	driven	drive	VERB
cana-275	55	10	models	model	NOUN
cana-275	55	11	of	of	ADP
cana-275	55	12	complicated	complicated	ADJ
cana-275	55	13	nonlinear	nonlinear	ADJ
cana-275	55	14	systems	system	NOUN
cana-275	55	15	,	,	PUNCT
cana-275	55	16	especially	especially	ADV
cana-275	55	17	for	for	ADP
cana-275	55	18	climate	climate	NOUN
cana-275	55	19	and	and	CCONJ
cana-275	55	20	weather	weather	NOUN
cana-275	55	21	applications	application	NOUN
cana-275	55	22	.	.	PUNCT
cana-275	56	1	a	a	DET
cana-275	56	2	basic	basic	ADJ
cana-275	56	3	symmetrical	symmetrical	ADJ
cana-275	56	4	system	system	NOUN
cana-275	56	5	with	with	ADP
cana-275	56	6	five	five	NUM
cana-275	56	7	nonlinear	nonlinear	ADJ
cana-275	56	8	terms	term	NOUN
cana-275	56	9	is	be	AUX
cana-275	56	10	studied	study	VERB
cana-275	56	11	by	by	ADP
cana-275	56	12	thoai	thoai	PROPN
cana-275	56	13	,	,	PUNCT
cana-275	56	14	v.	v.	ADP
cana-275	56	15	p.	p.	NOUN
cana-275	56	16	et	et	PROPN
cana-275	57	1	al	al	PROPN
cana-275	57	2	.	.	PROPN
cana-275	57	3	,	,	PUNCT
cana-275	57	4	who	who	PRON
cana-275	57	5	uncover	uncover	VERB
cana-275	57	6	chaotic	chaotic	ADJ
cana-275	57	7	behavior	behavior	NOUN
cana-275	57	8	by	by	ADP
cana-275	57	9	means	mean	NOUN
cana-275	57	10	of	of	ADP
cana-275	57	11	phase	phase	NOUN
cana-275	57	12	pictures	picture	NOUN
cana-275	57	13	,	,	PUNCT
cana-275	57	14	bifurcation	bifurcation	NOUN
cana-275	57	15	diagrams	diagram	NOUN
cana-275	57	16	,	,	PUNCT
cana-275	57	17	lyapunov	lyapunov	NOUN
cana-275	57	18	exponents	exponent	NOUN
cana-275	57	19	,	,	PUNCT
cana-275	57	20	and	and	CCONJ
cana-275	57	21	entropy	entropy	PROPN
cana-275	57	22	,	,	PUNCT
cana-275	57	23	among	among	ADP
cana-275	57	24	other	other	ADJ
cana-275	57	25	things	thing	NOUN
cana-275	57	26	.	.	PUNCT
cana-275	58	1	changing	change	VERB
cana-275	58	2	the	the	DET
cana-275	58	3	initial	initial	ADJ
cana-275	58	4	conditions	condition	NOUN
cana-275	58	5	causes	cause	VERB
cana-275	58	6	multi	multi	ADJ
cana-275	58	7	-	-	NOUN
cana-275	58	8	stability	stability	NOUN
cana-275	58	9	to	to	PART
cana-275	58	10	be	be	AUX
cana-275	58	11	noticed	notice	VERB
cana-275	58	12	.	.	PUNCT
cana-275	59	1	the	the	DET
cana-275	59	2	promise	promise	NOUN
cana-275	59	3	of	of	ADP
cana-275	59	4	such	such	ADJ
cana-275	59	5	methods	method	NOUN
cana-275	59	6	in	in	ADP
cana-275	59	7	understanding	understanding	NOUN
cana-275	59	8	and	and	CCONJ
cana-275	59	9	forecasting	forecast	VERB
cana-275	59	10	chaotic	chaotic	ADJ
cana-275	59	11	dynamics	dynamic	NOUN
cana-275	59	12	in	in	ADP
cana-275	59	13	basic	basic	ADJ
cana-275	59	14	systems	system	NOUN
cana-275	59	15	is	be	AUX
cana-275	59	16	demonstrated	demonstrate	VERB
cana-275	59	17	by	by	ADP
cana-275	59	18	the	the	DET
cana-275	59	19	new	new	ADJ
cana-275	59	20	approach	approach	NOUN
cana-275	59	21	of	of	ADP
cana-275	59	22	employing	employ	VERB
cana-275	59	23	a	a	DET
cana-275	59	24	machine	machine	NOUN
cana-275	59	25	learning	learning	NOUN
cana-275	59	26	method	method	NOUN
cana-275	59	27	based	base	VERB
cana-275	59	28	on	on	ADP
cana-275	59	29	a	a	DET
cana-275	59	30	neural	neural	ADJ
cana-275	59	31	network	network	NOUN
cana-275	59	32	(	(	PUNCT
cana-275	59	33	mla	mla	PROPN
cana-275	59	34	-	-	PUNCT
cana-275	59	35	nn	nn	NOUN
cana-275	59	36	)	)	PUNCT
cana-275	60	1	[	[	X
cana-275	60	2	18	18	NUM
cana-275	60	3	]	]	PUNCT
cana-275	60	4	to	to	PART
cana-275	60	5	anticipate	anticipate	VERB
cana-275	60	6	chaos	chaos	NOUN
cana-275	60	7	.	.	PUNCT
cana-275	61	1	one	one	NUM
cana-275	61	2	type	type	NOUN
cana-275	61	3	of	of	ADP
cana-275	61	4	recurrent	recurrent	ADJ
cana-275	61	5	neural	neural	ADJ
cana-275	61	6	network	network	NOUN
cana-275	61	7	utilized	utilize	VERB
cana-275	61	8	for	for	ADP
cana-275	61	9	data	data	NOUN
cana-275	61	10	-	-	PUNCT
cana-275	61	11	based	base	VERB
cana-275	61	12	prediction	prediction	NOUN
cana-275	61	13	of	of	ADP
cana-275	61	14	chaotic	chaotic	ADJ
cana-275	61	15	systems	system	NOUN
cana-275	61	16	(	(	PUNCT
cana-275	61	17	d	d	NOUN
cana-275	61	18	-	-	PUNCT
cana-275	61	19	pcs	pc	NOUN
cana-275	61	20	)	)	PUNCT
cana-275	62	1	[	[	X
cana-275	62	2	19	19	NUM
cana-275	62	3	]	]	PUNCT
cana-275	62	4	is	be	AUX
cana-275	62	5	reservoir	reservoir	PROPN
cana-275	62	6	computing	computing	NOUN
cana-275	62	7	systems	system	NOUN
cana-275	62	8	,	,	PUNCT
cana-275	62	9	which	which	DET
cana-275	62	10	fan	fan	NOUN
cana-275	62	11	et	et	PROPN
cana-275	62	12	al	al	PROPN
cana-275	62	13	.	.	PROPN
cana-275	62	14	investigate	investigate	VERB
cana-275	62	15	in	in	ADP
cana-275	62	16	their	their	PRON
cana-275	62	17	investigation	investigation	NOUN
cana-275	62	18	of	of	ADP
cana-275	62	19	expanding	expand	VERB
cana-275	62	20	prediction	prediction	NOUN
cana-275	62	21	horizons	horizon	NOUN
cana-275	62	22	.	.	PUNCT
cana-275	63	1	in	in	ADP
cana-275	63	2	order	order	NOUN
cana-275	63	3	to	to	PART
cana-275	63	4	facilitate	facilitate	VERB
cana-275	63	5	exceptionally	exceptionally	ADV
cana-275	63	6	large	large	ADJ
cana-275	63	7	prediction	prediction	NOUN
cana-275	63	8	horizons	horizon	NOUN
cana-275	63	9	for	for	ADP
cana-275	63	10	a	a	DET
cana-275	63	11	variety	variety	NOUN
cana-275	63	12	of	of	ADP
cana-275	63	13	chaotic	chaotic	ADJ
cana-275	63	14	systems	system	NOUN
cana-275	63	15	,	,	PUNCT
cana-275	63	16	the	the	DET
cana-275	63	17	suggested	suggest	VERB
cana-275	63	18	technique	technique	NOUN
cana-275	63	19	incorporates	incorporate	VERB
cana-275	63	20	sparse	sparse	ADJ
cana-275	63	21	,	,	PUNCT
cana-275	63	22	time	time	NOUN
cana-275	63	23	-	-	PUNCT
cana-275	63	24	dependent	dependent	ADJ
cana-275	63	25	data	datum	NOUN
cana-275	63	26	inputs	input	NOUN
cana-275	63	27	.	.	PUNCT
cana-275	64	1	a	a	DET
cana-275	64	2	theoretical	theoretical	ADJ
cana-275	64	3	framework	framework	NOUN
cana-275	64	4	based	base	VERB
cana-275	64	5	on	on	ADP
cana-275	64	6	the	the	DET
cana-275	64	7	idea	idea	NOUN
cana-275	64	8	of	of	ADP
cana-275	64	9	temporal	temporal	ADJ
cana-275	64	10	synchronization	synchronization	NOUN
cana-275	64	11	is	be	AUX
cana-275	64	12	established	establish	VERB
cana-275	64	13	,	,	PUNCT
cana-275	64	14	which	which	PRON
cana-275	64	15	sheds	shed	VERB
cana-275	64	16	light	light	NOUN
cana-275	64	17	on	on	ADP
cana-275	64	18	the	the	DET
cana-275	64	19	expanded	expand	VERB
cana-275	64	20	prediction	prediction	NOUN
cana-275	64	21	capabilities	capability	NOUN
cana-275	64	22	compared	compare	VERB
cana-275	64	23	to	to	ADP
cana-275	64	24	the	the	DET
cana-275	64	25	traditional	traditional	ADJ
cana-275	64	26	boundaries	boundary	NOUN
cana-275	64	27	.	.	PUNCT
cana-275	65	1	a	a	DET
cana-275	65	2	laser	laser	NOUN
cana-275	65	3	model	model	NOUN
cana-275	65	4	is	be	AUX
cana-275	65	5	used	use	VERB
cana-275	65	6	by	by	ADP
cana-275	65	7	amil	amil	PROPN
cana-275	65	8	et	et	PROPN
cana-275	65	9	al	al	PROPN
cana-275	65	10	.	.	PUNCT
cana-275	65	11	to	to	PART
cana-275	65	12	evaluate	evaluate	VERB
cana-275	65	13	the	the	DET
cana-275	65	14	effectiveness	effectiveness	NOUN
cana-275	65	15	of	of	ADP
cana-275	65	16	machine	machine	NOUN
cana-275	65	17	learning	learn	VERB
cana-275	65	18	algorithms	algorithm	NOUN
cana-275	65	19	(	(	PUNCT
cana-275	65	20	mla	mla	NOUN
cana-275	65	21	)	)	PUNCT
cana-275	66	1	[	[	X
cana-275	66	2	20	20	NUM
cana-275	66	3	]	]	PUNCT
cana-275	66	4	in	in	ADP
cana-275	66	5	forecasting	forecast	VERB
cana-275	66	6	the	the	DET
cana-275	66	7	amplitudes	amplitude	NOUN
cana-275	66	8	of	of	ADP
cana-275	66	9	chaotic	chaotic	ADJ
cana-275	66	10	pulses	pulse	NOUN
cana-275	66	11	.	.	PUNCT
cana-275	67	1	the	the	DET
cana-275	67	2	study	study	NOUN
cana-275	67	3	evaluates	evaluate	VERB
cana-275	67	4	several	several	ADJ
cana-275	67	5	machine	machine	NOUN
cana-275	67	6	learning	learning	NOUN
cana-275	67	7	algorithms	algorithm	NOUN
cana-275	67	8	,	,	PUNCT
cana-275	67	9	including	include	VERB
cana-275	67	10	svm	svm	PROPN
cana-275	67	11	,	,	PUNCT
cana-275	67	12	dl	dl	PROPN
cana-275	67	13	,	,	PUNCT
cana-275	67	14	nn	nn	PROPN
cana-275	67	15	,	,	PUNCT
cana-275	67	16	and	and	CCONJ
cana-275	67	17	reservoir	reservoir	PROPN
cana-275	67	18	computing	computing	NOUN
cana-275	67	19	,	,	PUNCT
cana-275	67	20	using	use	VERB
cana-275	67	21	an	an	DET
cana-275	67	22	optically	optically	ADV
cana-275	67	23	injected	inject	VERB
cana-275	67	24	semiconductor	semiconductor	NOUN
cana-275	67	25	laser	laser	NOUN
cana-275	67	26	with	with	ADP
cana-275	67	27	various	various	ADJ
cana-275	67	28	dynamical	dynamical	ADJ
cana-275	67	29	regimes	regime	NOUN
cana-275	67	30	,	,	PUNCT
cana-275	67	31	even	even	ADV
cana-275	67	32	ultrahigh	ultrahigh	ADJ
cana-275	67	33	intensity	intensity	NOUN
cana-275	67	34	pulses	pulse	NOUN
cana-275	67	35	.	.	PUNCT
cana-275	68	1	to	to	PART
cana-275	68	2	gain	gain	VERB
cana-275	68	3	insights	insight	NOUN
cana-275	68	4	into	into	ADP
cana-275	68	5	the	the	DET
cana-275	68	6	performance	performance	NOUN
cana-275	68	7	of	of	ADP
cana-275	68	8	the	the	DET
cana-275	68	9	forecast	forecast	NOUN
cana-275	68	10	,	,	PUNCT
cana-275	68	11	evaluation	evaluation	NOUN
cana-275	68	12	takes	take	VERB
cana-275	68	13	noise	noise	NOUN
cana-275	68	14	levels	level	NOUN
cana-275	68	15	and	and	CCONJ
cana-275	68	16	the	the	DET
cana-275	68	17	length	length	NOUN
cana-275	68	18	of	of	ADP
cana-275	68	19	the	the	DET
cana-275	68	20	training	training	NOUN
cana-275	68	21	time	time	NOUN
cana-275	68	22	series	series	NOUN
cana-275	68	23	into	into	ADP
cana-275	68	24	account	account	NOUN
cana-275	68	25	.	.	PUNCT
cana-275	69	1	using	use	VERB
cana-275	69	2	three	three	NUM
cana-275	69	3	chaotic	chaotic	ADJ
cana-275	69	4	systems	system	NOUN
cana-275	69	5	as	as	ADP
cana-275	69	6	examples	example	NOUN
cana-275	69	7	,	,	PUNCT
cana-275	69	8	serrano	serrano	NOUN
cana-275	69	9	-	-	PUNCT
cana-275	69	10	pérez	pérez	NOUN
cana-275	69	11	et	et	PROPN
cana-275	69	12	al	al	PROPN
cana-275	69	13	.	.	PROPN
cana-275	69	14	compare	compare	VERB
cana-275	69	15	standard	standard	ADJ
cana-275	69	16	neural	neural	ADJ
cana-275	69	17	networks	network	NOUN
cana-275	69	18	(	(	PUNCT
cana-275	69	19	such	such	ADJ
cana-275	69	20	as	as	ADP
cana-275	69	21	multilayer	multilayer	ADJ
cana-275	69	22	perceptrons	perceptron	NOUN
cana-275	69	23	and	and	CCONJ
cana-275	69	24	recurrent	recurrent	ADJ
cana-275	69	25	neural	neural	ADJ
cana-275	69	26	networks	network	NOUN
cana-275	69	27	with	with	ADP
cana-275	69	28	lstm	lstm	ADJ
cana-275	69	29	units	unit	NOUN
cana-275	69	30	)	)	PUNCT
cana-275	69	31	to	to	ADP
cana-275	69	32	deep	deep	ADJ
cana-275	69	33	learning	learning	NOUN
cana-275	69	34	models	model	NOUN
cana-275	69	35	(	(	PUNCT
cana-275	69	36	such	such	ADJ
cana-275	69	37	as	as	ADP
cana-275	69	38	lstm	lstm	NOUN
cana-275	69	39	-	-	PUNCT
cana-275	69	40	drnn	drnn	NOUN
cana-275	69	41	and	and	CCONJ
cana-275	69	42	gru	gru	NOUN
cana-275	69	43	-	-	NOUN
cana-275	69	44	drnn	drnn	NOUN
cana-275	69	45	)	)	PUNCT
cana-275	70	1	[	[	X
cana-275	70	2	21	21	NUM
cana-275	70	3	]	]	PUNCT
cana-275	70	4	.	.	PUNCT
cana-275	71	1	in	in	ADP
cana-275	71	2	order	order	NOUN
cana-275	71	3	to	to	PART
cana-275	71	4	manage	manage	VERB
cana-275	71	5	and	and	CCONJ
cana-275	71	6	synchronize	synchronize	VERB
cana-275	71	7	chaotic	chaotic	ADJ
cana-275	71	8	systems	system	NOUN
cana-275	71	9	,	,	PUNCT
cana-275	71	10	for	for	ADP
cana-275	71	11	example	example	NOUN
cana-275	71	12	,	,	PUNCT
cana-275	71	13	or	or	CCONJ
cana-275	71	14	to	to	PART
cana-275	71	15	solve	solve	VERB
cana-275	71	16	other	other	ADJ
cana-275	71	17	complicated	complicated	ADJ
cana-275	71	18	problems	problem	NOUN
cana-275	71	19	,	,	PUNCT
cana-275	71	20	gru	gru	NOUN
cana-275	71	21	-	-	NOUN
cana-275	71	22	drnn	drnn	NOUN
cana-275	71	23	performs	perform	VERB
cana-275	71	24	better	well	ADJ
cana-275	71	25	than	than	ADP
cana-275	71	26	alternatives	alternative	NOUN
cana-275	71	27	with	with	ADP
cana-275	71	28	fewer	few	ADJ
cana-275	71	29	neurons	neuron	NOUN
cana-275	71	30	and	and	CCONJ
cana-275	71	31	layers	layer	NOUN
cana-275	71	32	,	,	PUNCT
cana-275	71	33	according	accord	VERB
cana-275	71	34	to	to	ADP
cana-275	71	35	the	the	DET
cana-275	71	36	results	result	NOUN
cana-275	71	37	.	.	PUNCT
cana-275	72	1	the	the	DET
cana-275	72	2	new	new	ADJ
cana-275	72	3	chaotic	chaotic	ADJ
cana-275	72	4	dynamics	dynamic	NOUN
cana-275	72	5	prediction	prediction	NOUN
cana-275	72	6	through	through	ADP
cana-275	72	7	deep	deep	ADJ
cana-275	72	8	ensemble	ensemble	ADJ
cana-275	72	9	learning	learning	NOUN
cana-275	72	10	(	(	PUNCT
cana-275	72	11	cdp	cdp	NOUN
cana-275	72	12	-	-	PUNCT
cana-275	72	13	del	del	NOUN
cana-275	72	14	)	)	PUNCT
cana-275	72	15	system	system	NOUN
cana-275	72	16	is	be	AUX
cana-275	72	17	more	more	ADV
cana-275	72	18	effective	effective	ADJ
cana-275	72	19	than	than	ADP
cana-275	72	20	the	the	DET
cana-275	72	21	state	state	NOUN
cana-275	72	22	-	-	PUNCT
cana-275	72	23	of	of	ADP
cana-275	72	24	-	-	PUNCT
cana-275	72	25	the	the	DET
cana-275	72	26	-	-	PUNCT
cana-275	72	27	art	art	NOUN
cana-275	72	28	methods	method	NOUN
cana-275	72	29	,	,	PUNCT
cana-275	72	30	which	which	PRON
cana-275	72	31	indicates	indicate	VERB
cana-275	72	32	well	well	ADV
cana-275	72	33	for	for	ADP
cana-275	72	34	the	the	DET
cana-275	72	35	future	future	NOUN
cana-275	72	36	of	of	ADP
cana-275	72	37	chaotic	chaotic	ADJ
cana-275	72	38	dynamics	dynamic	NOUN
cana-275	72	39	forecasting	forecasting	NOUN
cana-275	72	40	.	.	PUNCT
cana-275	73	1	communications	communication	NOUN
cana-275	73	2	on	on	ADP
cana-275	73	3	applied	apply	VERB
cana-275	73	4	nonlinear	nonlinear	ADJ
cana-275	73	5	analysis	analysis	NOUN
cana-275	73	6	issn	issn	NOUN
cana-275	73	7	:	:	PUNCT
cana-275	73	8	1074	1074	NUM
cana-275	73	9	-	-	PUNCT
cana-275	73	10	133x	133x	NUM
cana-275	73	11	vol	vol	NOUN
cana-275	73	12	30	30	NUM
cana-275	73	13	no	no	NOUN
cana-275	73	14	.	.	NOUN
cana-275	73	15	3	3	NUM
cana-275	73	16	(	(	PUNCT
cana-275	73	17	2023	2023	NUM
cana-275	73	18	)	)	PUNCT
cana-275	73	19	4	4	NUM
cana-275	73	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	73	21	3	3	NUM
cana-275	73	22	.	.	PUNCT
cana-275	73	23	proposed	propose	VERB
cana-275	73	24	method	method	NOUN
cana-275	73	25	many	many	ADJ
cana-275	73	26	disciplines	discipline	NOUN
cana-275	73	27	rely	rely	VERB
cana-275	73	28	on	on	ADP
cana-275	73	29	the	the	DET
cana-275	73	30	ability	ability	NOUN
cana-275	73	31	to	to	PART
cana-275	73	32	predict	predict	VERB
cana-275	73	33	chaotic	chaotic	ADJ
cana-275	73	34	actions	action	NOUN
cana-275	73	35	in	in	ADP
cana-275	73	36	nonlinear	nonlinear	ADJ
cana-275	73	37	systems	system	NOUN
cana-275	73	38	,	,	PUNCT
cana-275	73	39	including	include	VERB
cana-275	73	40	biology	biology	NOUN
cana-275	73	41	,	,	PUNCT
cana-275	73	42	physics	physics	NOUN
cana-275	73	43	,	,	PUNCT
cana-275	73	44	engineering	engineering	NOUN
cana-275	73	45	,	,	PUNCT
cana-275	73	46	and	and	CCONJ
cana-275	73	47	finance	finance	NOUN
cana-275	73	48	.	.	PUNCT
cana-275	74	1	problems	problem	NOUN
cana-275	74	2	arise	arise	VERB
cana-275	74	3	from	from	ADP
cana-275	74	4	these	these	DET
cana-275	74	5	systems	system	NOUN
cana-275	74	6	'	'	PART
cana-275	74	7	apparent	apparent	ADJ
cana-275	74	8	absence	absence	NOUN
cana-275	74	9	of	of	ADP
cana-275	74	10	patterns	pattern	NOUN
cana-275	74	11	and	and	CCONJ
cana-275	74	12	their	their	PRON
cana-275	74	13	innate	innate	ADJ
cana-275	74	14	sensitivity	sensitivity	NOUN
cana-275	74	15	to	to	ADP
cana-275	74	16	starting	start	VERB
cana-275	74	17	circumstances	circumstance	NOUN
cana-275	74	18	.	.	PUNCT
cana-275	75	1	the	the	DET
cana-275	75	2	paper	paper	NOUN
cana-275	75	3	presents	present	VERB
cana-275	75	4	cdp	cdp	NOUN
cana-275	75	5	-	-	PUNCT
cana-275	75	6	del	del	ADJ
cana-275	75	7	,	,	PUNCT
cana-275	75	8	or	or	CCONJ
cana-275	75	9	chaotic	chaotic	ADJ
cana-275	75	10	dynamics	dynamic	NOUN
cana-275	75	11	prediction	prediction	NOUN
cana-275	75	12	using	use	VERB
cana-275	75	13	deep	deep	ADJ
cana-275	75	14	ensemble	ensemble	ADJ
cana-275	75	15	learning	learning	NOUN
cana-275	75	16	,	,	PUNCT
cana-275	75	17	for	for	ADP
cana-275	75	18	addressing	address	VERB
cana-275	75	19	this	this	DET
cana-275	75	20	complexity	complexity	NOUN
cana-275	75	21	.	.	PUNCT
cana-275	76	1	the	the	DET
cana-275	76	2	cdp	cdp	PROPN
cana-275	76	3	-	-	PUNCT
cana-275	76	4	del	del	ADJ
cana-275	76	5	framework	framework	NOUN
cana-275	76	6	provides	provide	VERB
cana-275	76	7	a	a	DET
cana-275	76	8	thorough	thorough	ADJ
cana-275	76	9	method	method	NOUN
cana-275	76	10	for	for	ADP
cana-275	76	11	predicting	predict	VERB
cana-275	76	12	chaotic	chaotic	ADJ
cana-275	76	13	dynamics	dynamic	NOUN
cana-275	76	14	by	by	ADP
cana-275	76	15	utilizing	utilize	VERB
cana-275	76	16	the	the	DET
cana-275	76	17	complementary	complementary	ADJ
cana-275	76	18	strengths	strength	NOUN
cana-275	76	19	of	of	ADP
cana-275	76	20	deep	deep	ADJ
cana-275	76	21	learning	learning	NOUN
cana-275	76	22	frameworks	framework	NOUN
cana-275	76	23	and	and	CCONJ
cana-275	76	24	ensemble	ensemble	ADJ
cana-275	76	25	learning	learning	NOUN
cana-275	76	26	methods	method	NOUN
cana-275	76	27	.	.	PUNCT
cana-275	77	1	conventional	conventional	ADJ
cana-275	77	2	approaches	approach	NOUN
cana-275	77	3	are	be	AUX
cana-275	77	4	surpassed	surpass	VERB
cana-275	77	5	by	by	ADP
cana-275	77	6	cdp	cdp	NOUN
cana-275	77	7	-	-	PUNCT
cana-275	77	8	del	del	NOUN
cana-275	77	9	,	,	PUNCT
cana-275	77	10	which	which	PRON
cana-275	77	11	incorporates	incorporate	VERB
cana-275	77	12	feature	feature	NOUN
cana-275	77	13	engineering	engineering	NOUN
cana-275	77	14	,	,	PUNCT
cana-275	77	15	system	system	NOUN
cana-275	77	16	aspects	aspect	NOUN
cana-275	77	17	,	,	PUNCT
cana-275	77	18	and	and	CCONJ
cana-275	77	19	addresses	address	VERB
cana-275	77	20	temporal	temporal	ADJ
cana-275	77	21	dependencies	dependency	NOUN
cana-275	77	22	.	.	PUNCT
cana-275	78	1	optimal	optimal	ADJ
cana-275	78	2	decision	decision	NOUN
cana-275	78	3	-	-	PUNCT
cana-275	78	4	making	making	NOUN
cana-275	78	5	in	in	ADP
cana-275	78	6	real	real	ADJ
cana-275	78	7	-	-	PUNCT
cana-275	78	8	world	world	NOUN
cana-275	78	9	settings	setting	NOUN
cana-275	78	10	with	with	ADP
cana-275	78	11	significant	significant	ADJ
cana-275	78	12	chaotic	chaotic	ADJ
cana-275	78	13	dynamics	dynamic	NOUN
cana-275	78	14	is	be	AUX
cana-275	78	15	within	within	ADP
cana-275	78	16	reach	reach	NOUN
cana-275	78	17	,	,	PUNCT
cana-275	78	18	due	due	ADP
cana-275	78	19	to	to	ADP
cana-275	78	20	its	its	PRON
cana-275	78	21	increased	increase	VERB
cana-275	78	22	predictive	predictive	ADJ
cana-275	78	23	skills	skill	NOUN
cana-275	78	24	.	.	PUNCT
cana-275	79	1	these	these	DET
cana-275	79	2	capabilities	capability	NOUN
cana-275	79	3	find	find	VERB
cana-275	79	4	applications	application	NOUN
cana-275	79	5	in	in	ADP
cana-275	79	6	control	control	NOUN
cana-275	79	7	systems	system	NOUN
cana-275	79	8	and	and	CCONJ
cana-275	79	9	weather	weather	NOUN
cana-275	79	10	forecasting	forecasting	NOUN
cana-275	79	11	,	,	PUNCT
cana-275	79	12	among	among	ADP
cana-275	79	13	others	other	NOUN
cana-275	79	14	.	.	PUNCT
cana-275	80	1	figure	figure	VERB
cana-275	80	2	1	1	NUM
cana-275	80	3	:	:	PUNCT
cana-275	80	4	mechanism	mechanism	NOUN
cana-275	80	5	for	for	ADP
cana-275	80	6	predicting	predict	VERB
cana-275	80	7	nonlinear	nonlinear	ADJ
cana-275	80	8	systems	system	NOUN
cana-275	80	9	'	'	PART
cana-275	80	10	chaotic	chaotic	ADJ
cana-275	80	11	behaviour	behaviour	NOUN
cana-275	80	12	using	use	VERB
cana-275	80	13	machine	machine	NOUN
cana-275	80	14	learning	learn	VERB
cana-275	80	15	a	a	DET
cana-275	80	16	potent	potent	ADJ
cana-275	80	17	technique	technique	NOUN
cana-275	80	18	for	for	ADP
cana-275	80	19	comprehending	comprehend	VERB
cana-275	80	20	and	and	CCONJ
cana-275	80	21	forecasting	forecast	VERB
cana-275	80	22	intricate	intricate	ADJ
cana-275	80	23	behaviours	behaviour	NOUN
cana-275	80	24	in	in	ADP
cana-275	80	25	nonlinear	nonlinear	ADJ
cana-275	80	26	systems	system	NOUN
cana-275	80	27	,	,	PUNCT
cana-275	80	28	machine	machine	NOUN
cana-275	80	29	learning	learning	NOUN
cana-275	80	30	(	(	PUNCT
cana-275	80	31	ml	ml	NOUN
cana-275	80	32	)	)	PUNCT
cana-275	80	33	has	have	AUX
cana-275	80	34	recently	recently	ADV
cana-275	80	35	arisen	arise	VERB
cana-275	80	36	.	.	PUNCT
cana-275	81	1	predicting	predict	VERB
cana-275	81	2	chaotic	chaotic	ADJ
cana-275	81	3	actions	action	NOUN
cana-275	81	4	in	in	ADP
cana-275	81	5	nonlinear	nonlinear	ADJ
cana-275	81	6	systems	system	NOUN
cana-275	81	7	using	use	VERB
cana-275	81	8	ml	ml	ADP
cana-275	81	9	techniques	technique	NOUN
cana-275	81	10	is	be	AUX
cana-275	81	11	depicted	depict	VERB
cana-275	81	12	in	in	ADP
cana-275	81	13	figure	figure	NOUN
cana-275	81	14	1	1	NUM
cana-275	81	15	as	as	ADP
cana-275	81	16	a	a	DET
cana-275	81	17	complete	complete	ADJ
cana-275	81	18	workflow	workflow	NOUN
cana-275	81	19	.	.	PUNCT
cana-275	82	1	data	datum	NOUN
cana-275	82	2	collecting	collecting	NOUN
cana-275	82	3	,	,	PUNCT
cana-275	82	4	model	model	NOUN
cana-275	82	5	assessment	assessment	NOUN
cana-275	82	6	and	and	CCONJ
cana-275	82	7	visualization	visualization	NOUN
cana-275	82	8	are	be	AUX
cana-275	82	9	all	all	PRON
cana-275	82	10	parts	part	NOUN
cana-275	82	11	of	of	ADP
cana-275	82	12	this	this	DET
cana-275	82	13	approach	approach	NOUN
cana-275	82	14	.	.	PUNCT
cana-275	83	1	the	the	DET
cana-275	83	2	first	first	ADJ
cana-275	83	3	step	step	NOUN
cana-275	83	4	is	be	AUX
cana-275	83	5	to	to	PART
cana-275	83	6	gather	gather	VERB
cana-275	83	7	data	datum	NOUN
cana-275	83	8	,	,	PUNCT
cana-275	83	9	which	which	PRON
cana-275	83	10	can	can	AUX
cana-275	83	11	be	be	AUX
cana-275	83	12	done	do	VERB
cana-275	83	13	by	by	ADP
cana-275	83	14	experimental	experimental	ADJ
cana-275	83	15	observations	observation	NOUN
cana-275	83	16	or	or	CCONJ
cana-275	83	17	by	by	ADP
cana-275	83	18	simulating	simulate	VERB
cana-275	83	19	the	the	DET
cana-275	83	20	results	result	NOUN
cana-275	83	21	of	of	ADP
cana-275	83	22	nonlinear	nonlinear	ADJ
cana-275	83	23	systems	system	NOUN
cana-275	83	24	.	.	PUNCT
cana-275	84	1	this	this	DET
cana-275	84	2	first	first	ADJ
cana-275	84	3	stage	stage	NOUN
cana-275	84	4	,	,	PUNCT
cana-275	84	5	labelled	label	VERB
cana-275	84	6	"	"	PUNCT
cana-275	84	7	data	datum	NOUN
cana-275	84	8	source	source	NOUN
cana-275	84	9	"	"	PUNCT
cana-275	84	10	in	in	ADP
cana-275	84	11	figure	figure	NOUN
cana-275	84	12	1	1	NUM
cana-275	84	13	,	,	PUNCT
cana-275	84	14	establishes	establish	VERB
cana-275	84	15	the	the	DET
cana-275	84	16	groundwork	groundwork	NOUN
cana-275	84	17	for	for	ADP
cana-275	84	18	the	the	DET
cana-275	84	19	analysis	analysis	NOUN
cana-275	84	20	and	and	CCONJ
cana-275	84	21	prediction	prediction	NOUN
cana-275	84	22	that	that	PRON
cana-275	84	23	follows	follow	VERB
cana-275	84	24	.	.	PUNCT
cana-275	85	1	in	in	ADP
cana-275	85	2	order	order	NOUN
cana-275	85	3	to	to	PART
cana-275	85	4	make	make	VERB
cana-275	85	5	sure	sure	ADJ
cana-275	85	6	the	the	DET
cana-275	85	7	raw	raw	ADJ
cana-275	85	8	data	data	NOUN
cana-275	85	9	is	be	AUX
cana-275	85	10	suitable	suitable	ADJ
cana-275	85	11	for	for	ADP
cana-275	85	12	ml	ml	NOUN
cana-275	85	13	algorithms	algorithm	NOUN
cana-275	85	14	,	,	PUNCT
cana-275	85	15	it	it	PRON
cana-275	85	16	is	be	AUX
cana-275	85	17	pre	pre	ADJ
cana-275	85	18	-	-	VERB
cana-275	85	19	processed	processed	ADJ
cana-275	85	20	.	.	PUNCT
cana-275	86	1	data	datum	NOUN
cana-275	86	2	normalization	normalization	NOUN
cana-275	86	3	,	,	PUNCT
cana-275	86	4	feature	feature	NOUN
cana-275	86	5	extraction	extraction	NOUN
cana-275	86	6	,	,	PUNCT
cana-275	86	7	and	and	CCONJ
cana-275	86	8	noise	noise	NOUN
cana-275	86	9	removal	removal	NOUN
cana-275	86	10	are	be	AUX
cana-275	86	11	all	all	PRON
cana-275	86	12	part	part	NOUN
cana-275	86	13	of	of	ADP
cana-275	86	14	the	the	DET
cana-275	86	15	"	"	PUNCT
cana-275	86	16	data	datum	NOUN
cana-275	86	17	pre	pre	ADJ
cana-275	86	18	-	-	ADJ
cana-275	86	19	processing	processing	ADJ
cana-275	86	20	"	"	PUNCT
cana-275	86	21	block	block	NOUN
cana-275	86	22	.	.	PUNCT
cana-275	87	1	in	in	ADP
cana-275	87	2	order	order	NOUN
cana-275	87	3	to	to	PART
cana-275	87	4	improve	improve	VERB
cana-275	87	5	the	the	DET
cana-275	87	6	effectiveness	effectiveness	NOUN
cana-275	87	7	of	of	ADP
cana-275	87	8	the	the	DET
cana-275	87	9	following	follow	VERB
cana-275	87	10	ml	ml	NOUN
cana-275	87	11	models	model	NOUN
cana-275	87	12	,	,	PUNCT
cana-275	87	13	some	some	DET
cana-275	87	14	actions	action	NOUN
cana-275	87	15	are	be	AUX
cana-275	87	16	essential	essential	ADJ
cana-275	87	17	.	.	PUNCT
cana-275	88	1	important	important	ADJ
cana-275	88	2	characteristics	characteristic	NOUN
cana-275	88	3	can	can	AUX
cana-275	88	4	be	be	AUX
cana-275	88	5	extracted	extract	VERB
cana-275	88	6	from	from	ADP
cana-275	88	7	the	the	DET
cana-275	88	8	data	datum	NOUN
cana-275	88	9	that	that	PRON
cana-275	88	10	has	have	AUX
cana-275	88	11	been	be	AUX
cana-275	88	12	pre	pre	VERB
cana-275	88	13	-	-	VERB
cana-275	88	14	processed	process	VERB
cana-275	88	15	in	in	ADP
cana-275	88	16	the	the	DET
cana-275	88	17	"	"	PUNCT
cana-275	88	18	nonlinear	nonlinear	ADJ
cana-275	88	19	features	feature	NOUN
cana-275	88	20	extraction	extraction	NOUN
cana-275	88	21	"	"	PUNCT
cana-275	88	22	section	section	NOUN
cana-275	88	23	.	.	PUNCT
cana-275	89	1	complex	complex	ADJ
cana-275	89	2	behaviours	behaviour	NOUN
cana-275	89	3	of	of	ADP
cana-275	89	4	nonlinear	nonlinear	ADJ
cana-275	89	5	systems	system	NOUN
cana-275	89	6	can	can	AUX
cana-275	89	7	be	be	AUX
cana-275	89	8	described	describe	VERB
cana-275	89	9	using	use	VERB
cana-275	89	10	metrics	metric	NOUN
cana-275	89	11	like	like	ADP
cana-275	89	12	fractal	fractal	ADJ
cana-275	89	13	dimensions	dimension	NOUN
cana-275	89	14	and	and	CCONJ
cana-275	89	15	lyapunov	lyapunov	PROPN
cana-275	89	16	exponents	exponent	NOUN
cana-275	89	17	.	.	PUNCT
cana-275	90	1	the	the	DET
cana-275	90	2	ml	ml	PROPN
cana-275	90	3	model	model	PROPN
cana-275	90	4	uses	use	VERB
cana-275	90	5	these	these	DET
cana-275	90	6	qualities	quality	NOUN
cana-275	90	7	as	as	ADP
cana-275	90	8	inputs	input	NOUN
cana-275	90	9	to	to	PART
cana-275	90	10	capture	capture	VERB
cana-275	90	11	the	the	DET
cana-275	90	12	system	system	NOUN
cana-275	90	13	's	's	PART
cana-275	90	14	complex	complex	ADJ
cana-275	90	15	dynamics	dynamic	NOUN
cana-275	90	16	.	.	PUNCT
cana-275	91	1	at	at	ADP
cana-275	91	2	its	its	PRON
cana-275	91	3	core	core	NOUN
cana-275	91	4	,	,	PUNCT
cana-275	91	5	the	the	DET
cana-275	91	6	process	process	NOUN
cana-275	91	7	is	be	AUX
cana-275	91	8	the	the	DET
cana-275	91	9	"	"	PUNCT
cana-275	91	10	supervised	supervised	ADJ
cana-275	91	11	learning	learning	NOUN
cana-275	91	12	module	module	NOUN
cana-275	91	13	.	.	PUNCT
cana-275	91	14	"	"	PUNCT
cana-275	92	1	the	the	DET
cana-275	92	2	application	application	NOUN
cana-275	92	3	of	of	ADP
cana-275	92	4	ml	ml	ADP
cana-275	92	5	algorithms	algorithm	NOUN
cana-275	92	6	that	that	PRON
cana-275	92	7	can	can	AUX
cana-275	92	8	detect	detect	VERB
cana-275	92	9	nonlinear	nonlinear	ADJ
cana-275	92	10	correlations	correlation	NOUN
cana-275	92	11	in	in	ADP
cana-275	92	12	the	the	DET
cana-275	92	13	data	data	NOUN
cana-275	92	14	is	be	AUX
cana-275	92	15	symbolized	symbolize	VERB
cana-275	92	16	by	by	ADP
cana-275	92	17	this	this	DET
cana-275	92	18	block	block	NOUN
cana-275	92	19	.	.	PUNCT
cana-275	93	1	various	various	ADJ
cana-275	93	2	advanced	advanced	ADJ
cana-275	93	3	models	model	NOUN
cana-275	93	4	,	,	PUNCT
cana-275	93	5	such	such	ADJ
cana-275	93	6	as	as	ADP
cana-275	93	7	neural	neural	ADJ
cana-275	93	8	networks	network	NOUN
cana-275	93	9	and	and	CCONJ
cana-275	93	10	support	support	VERB
cana-275	93	11	vector	vector	NOUN
cana-275	93	12	machines	machine	NOUN
cana-275	93	13	(	(	PUNCT
cana-275	93	14	svms	svms	NOUN
cana-275	93	15	)	)	PUNCT
cana-275	93	16	,	,	PUNCT
cana-275	93	17	communications	communication	NOUN
cana-275	93	18	on	on	ADP
cana-275	93	19	applied	apply	VERB
cana-275	93	20	nonlinear	nonlinear	ADJ
cana-275	93	21	analysis	analysis	NOUN
cana-275	93	22	issn	issn	NOUN
cana-275	93	23	:	:	PUNCT
cana-275	93	24	1074	1074	NUM
cana-275	93	25	-	-	PUNCT
cana-275	93	26	133x	133x	NUM
cana-275	93	27	vol	vol	NOUN
cana-275	93	28	30	30	NUM
cana-275	93	29	no	no	NOUN
cana-275	93	30	.	.	NOUN
cana-275	93	31	3	3	NUM
cana-275	93	32	(	(	PUNCT
cana-275	93	33	2023	2023	NUM
cana-275	93	34	)	)	PUNCT
cana-275	93	35	5	5	NUM
cana-275	93	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	93	37	can	can	AUX
cana-275	93	38	be	be	AUX
cana-275	93	39	utilized	utilize	VERB
cana-275	93	40	for	for	ADP
cana-275	93	41	this	this	DET
cana-275	93	42	purpose	purpose	NOUN
cana-275	93	43	.	.	PUNCT
cana-275	94	1	the	the	DET
cana-275	94	2	fundamental	fundamental	ADJ
cana-275	94	3	patterns	pattern	NOUN
cana-275	94	4	and	and	CCONJ
cana-275	94	5	correlations	correlation	NOUN
cana-275	94	6	are	be	AUX
cana-275	94	7	learned	learn	VERB
cana-275	94	8	by	by	ADP
cana-275	94	9	training	train	VERB
cana-275	94	10	the	the	DET
cana-275	94	11	model	model	NOUN
cana-275	94	12	with	with	ADP
cana-275	94	13	the	the	DET
cana-275	94	14	pre	pre	ADJ
cana-275	94	15	-	-	ADJ
cana-275	94	16	processed	processed	ADJ
cana-275	94	17	data	datum	NOUN
cana-275	94	18	.	.	PUNCT
cana-275	95	1	datasets	dataset	NOUN
cana-275	95	2	specifically	specifically	ADV
cana-275	95	3	designed	design	VERB
cana-275	95	4	to	to	PART
cana-275	95	5	train	train	VERB
cana-275	95	6	the	the	DET
cana-275	95	7	model	model	NOUN
cana-275	95	8	are	be	AUX
cana-275	95	9	called	call	VERB
cana-275	95	10	"	"	PUNCT
cana-275	95	11	training	training	NOUN
cana-275	95	12	data	datum	NOUN
cana-275	95	13	.	.	PUNCT
cana-275	95	14	"	"	PUNCT
cana-275	96	1	the	the	DET
cana-275	96	2	ml	ml	PROPN
cana-275	96	3	model	model	NOUN
cana-275	96	4	can	can	AUX
cana-275	96	5	modify	modify	VERB
cana-275	96	6	its	its	PRON
cana-275	96	7	variables	variable	NOUN
cana-275	96	8	and	and	CCONJ
cana-275	96	9	internal	internal	ADJ
cana-275	96	10	representations	representation	NOUN
cana-275	96	11	using	use	VERB
cana-275	96	12	this	this	DET
cana-275	96	13	dataset	dataset	NOUN
cana-275	96	14	,	,	PUNCT
cana-275	96	15	which	which	PRON
cana-275	96	16	is	be	AUX
cana-275	96	17	a	a	DET
cana-275	96	18	portion	portion	NOUN
cana-275	96	19	of	of	ADP
cana-275	96	20	the	the	DET
cana-275	96	21	pre	pre	ADJ
cana-275	96	22	-	-	ADJ
cana-275	96	23	processed	processed	ADJ
cana-275	96	24	data	datum	NOUN
cana-275	96	25	,	,	PUNCT
cana-275	96	26	in	in	ADP
cana-275	96	27	order	order	NOUN
cana-275	96	28	to	to	PART
cana-275	96	29	reliably	reliably	ADV
cana-275	96	30	forecast	forecast	VERB
cana-275	96	31	chaotic	chaotic	ADJ
cana-275	96	32	behaviour	behaviour	NOUN
cana-275	96	33	.	.	PUNCT
cana-275	97	1	the	the	DET
cana-275	97	2	"	"	PUNCT
cana-275	97	3	testing	testing	NOUN
cana-275	97	4	&	&	CCONJ
cana-275	97	5	prediction	prediction	NOUN
cana-275	97	6	"	"	PUNCT
cana-275	97	7	step	step	NOUN
cana-275	97	8	uses	use	VERB
cana-275	97	9	a	a	DET
cana-275	97	10	different	different	ADJ
cana-275	97	11	dataset	dataset	NOUN
cana-275	97	12	to	to	PART
cana-275	97	13	test	test	VERB
cana-275	97	14	the	the	DET
cana-275	97	15	trained	train	VERB
cana-275	97	16	model	model	NOUN
cana-275	97	17	.	.	PUNCT
cana-275	98	1	this	this	DET
cana-275	98	2	dataset	dataset	NOUN
cana-275	98	3	,	,	PUNCT
cana-275	98	4	which	which	PRON
cana-275	98	5	is	be	AUX
cana-275	98	6	known	know	VERB
cana-275	98	7	as	as	ADP
cana-275	98	8	the	the	DET
cana-275	98	9	validation	validation	NOUN
cana-275	98	10	set	set	NOUN
cana-275	98	11	,	,	PUNCT
cana-275	98	12	is	be	AUX
cana-275	98	13	used	use	VERB
cana-275	98	14	to	to	PART
cana-275	98	15	evaluate	evaluate	VERB
cana-275	98	16	the	the	DET
cana-275	98	17	model	model	NOUN
cana-275	98	18	's	's	PART
cana-275	98	19	ability	ability	NOUN
cana-275	98	20	to	to	PART
cana-275	98	21	generalize	generalize	VERB
cana-275	98	22	.	.	PUNCT
cana-275	99	1	using	use	VERB
cana-275	99	2	the	the	DET
cana-275	99	3	patterns	pattern	NOUN
cana-275	99	4	learnt	learn	VERB
cana-275	99	5	during	during	ADP
cana-275	99	6	training	training	NOUN
cana-275	99	7	,	,	PUNCT
cana-275	99	8	the	the	DET
cana-275	99	9	model	model	NOUN
cana-275	99	10	can	can	AUX
cana-275	99	11	anticipate	anticipate	VERB
cana-275	99	12	chaotic	chaotic	ADJ
cana-275	99	13	behaviour	behaviour	NOUN
cana-275	99	14	.	.	PUNCT
cana-275	100	1	a	a	DET
cana-275	100	2	"	"	PUNCT
cana-275	100	3	comparison	comparison	NOUN
cana-275	100	4	&	&	CCONJ
cana-275	100	5	evaluation	evaluation	NOUN
cana-275	100	6	"	"	PUNCT
cana-275	100	7	block	block	NOUN
cana-275	100	8	is	be	AUX
cana-275	100	9	added	add	VERB
cana-275	100	10	to	to	PART
cana-275	100	11	measure	measure	VERB
cana-275	100	12	the	the	DET
cana-275	100	13	ml	ml	NOUN
cana-275	100	14	model	model	NOUN
cana-275	100	15	's	's	PART
cana-275	100	16	performance	performance	NOUN
cana-275	100	17	.	.	PUNCT
cana-275	101	1	the	the	DET
cana-275	101	2	projected	project	VERB
cana-275	101	3	values	value	NOUN
cana-275	101	4	are	be	AUX
cana-275	101	5	compared	compare	VERB
cana-275	101	6	to	to	ADP
cana-275	101	7	the	the	DET
cana-275	101	8	actual	actual	ADJ
cana-275	101	9	results	result	NOUN
cana-275	101	10	using	use	VERB
cana-275	101	11	a	a	DET
cana-275	101	12	variety	variety	NOUN
cana-275	101	13	of	of	ADP
cana-275	101	14	metrics	metric	NOUN
cana-275	101	15	,	,	PUNCT
cana-275	101	16	including	include	VERB
cana-275	101	17	as	as	ADV
cana-275	101	18	mean	mean	NOUN
cana-275	101	19	squared	square	VERB
cana-275	101	20	error	error	NOUN
cana-275	101	21	and	and	CCONJ
cana-275	101	22	correlation	correlation	NOUN
cana-275	101	23	coefficients	coefficient	NOUN
cana-275	101	24	,	,	PUNCT
cana-275	101	25	among	among	ADP
cana-275	101	26	others	other	NOUN
cana-275	101	27	.	.	PUNCT
cana-275	102	1	to	to	PART
cana-275	102	2	illustrate	illustrate	VERB
cana-275	102	3	an	an	DET
cana-275	102	4	iterative	iterative	NOUN
cana-275	102	5	process	process	NOUN
cana-275	102	6	,	,	PUNCT
cana-275	102	7	the	the	DET
cana-275	102	8	"	"	PUNCT
cana-275	102	9	model	model	NOUN
cana-275	102	10	adjustment	adjustment	NOUN
cana-275	102	11	"	"	PUNCT
cana-275	102	12	block	block	NOUN
cana-275	102	13	is	be	AUX
cana-275	102	14	visible	visible	ADJ
cana-275	102	15	.	.	PUNCT
cana-275	103	1	the	the	DET
cana-275	103	2	evaluation	evaluation	NOUN
cana-275	103	3	findings	finding	NOUN
cana-275	103	4	inform	inform	VERB
cana-275	103	5	the	the	DET
cana-275	103	6	process	process	NOUN
cana-275	103	7	of	of	ADP
cana-275	103	8	making	make	VERB
cana-275	103	9	improvements	improvement	NOUN
cana-275	103	10	to	to	ADP
cana-275	103	11	the	the	DET
cana-275	103	12	model	model	NOUN
cana-275	103	13	in	in	ADP
cana-275	103	14	order	order	NOUN
cana-275	103	15	to	to	PART
cana-275	103	16	improve	improve	VERB
cana-275	103	17	its	its	PRON
cana-275	103	18	forecasting	forecasting	NOUN
cana-275	103	19	skills	skill	NOUN
cana-275	103	20	.	.	PUNCT
cana-275	104	1	in	in	ADP
cana-275	104	2	order	order	NOUN
cana-275	104	3	to	to	PART
cana-275	104	4	capture	capture	VERB
cana-275	104	5	subtle	subtle	ADJ
cana-275	104	6	behaviours	behaviour	NOUN
cana-275	104	7	,	,	PUNCT
cana-275	104	8	it	it	PRON
cana-275	104	9	may	may	AUX
cana-275	104	10	be	be	AUX
cana-275	104	11	necessary	necessary	ADJ
cana-275	104	12	to	to	PART
cana-275	104	13	adjust	adjust	VERB
cana-275	104	14	hyper	hyper	ADJ
cana-275	104	15	parameters	parameter	NOUN
cana-275	104	16	,	,	PUNCT
cana-275	104	17	change	change	VERB
cana-275	104	18	the	the	DET
cana-275	104	19	model	model	NOUN
cana-275	104	20	's	's	PART
cana-275	104	21	architecture	architecture	NOUN
cana-275	104	22	,	,	PUNCT
cana-275	104	23	or	or	CCONJ
cana-275	104	24	add	add	VERB
cana-275	104	25	new	new	ADJ
cana-275	104	26	features	feature	NOUN
cana-275	104	27	.	.	PUNCT
cana-275	105	1	in	in	ADP
cana-275	105	2	order	order	NOUN
cana-275	105	3	to	to	PART
cana-275	105	4	comprehend	comprehend	VERB
cana-275	105	5	the	the	DET
cana-275	105	6	forecasts	forecast	NOUN
cana-275	105	7	and	and	CCONJ
cana-275	105	8	convey	convey	VERB
cana-275	105	9	the	the	DET
cana-275	105	10	outcomes	outcome	NOUN
cana-275	105	11	,	,	PUNCT
cana-275	105	12	it	it	PRON
cana-275	105	13	is	be	AUX
cana-275	105	14	essential	essential	ADJ
cana-275	105	15	to	to	PART
cana-275	105	16	visualize	visualize	VERB
cana-275	105	17	the	the	DET
cana-275	105	18	data	datum	NOUN
cana-275	105	19	.	.	PUNCT
cana-275	106	1	making	make	VERB
cana-275	106	2	charts	chart	NOUN
cana-275	106	3	,	,	PUNCT
cana-275	106	4	graphs	graph	NOUN
cana-275	106	5	,	,	PUNCT
cana-275	106	6	and	and	CCONJ
cana-275	106	7	other	other	ADJ
cana-275	106	8	illustrations	illustration	NOUN
cana-275	106	9	to	to	PART
cana-275	106	10	explain	explain	VERB
cana-275	106	11	the	the	DET
cana-275	106	12	model	model	NOUN
cana-275	106	13	's	's	PART
cana-275	106	14	output	output	NOUN
cana-275	106	15	and	and	CCONJ
cana-275	106	16	display	display	VERB
cana-275	106	17	the	the	DET
cana-275	106	18	expected	expect	VERB
cana-275	106	19	disorderly	disorderly	ADJ
cana-275	106	20	behaviour	behaviour	NOUN
cana-275	106	21	is	be	AUX
cana-275	106	22	part	part	NOUN
cana-275	106	23	of	of	ADP
cana-275	106	24	the	the	DET
cana-275	106	25	"	"	PUNCT
cana-275	106	26	visualization	visualization	NOUN
cana-275	106	27	"	"	PUNCT
cana-275	106	28	section	section	NOUN
cana-275	106	29	.	.	PUNCT
cana-275	107	1	figure	figure	NOUN
cana-275	107	2	1	1	NUM
cana-275	107	3	show	show	VERB
cana-275	107	4	a	a	DET
cana-275	107	5	comprehensive	comprehensive	ADJ
cana-275	107	6	ml	ml	NOUN
cana-275	107	7	workflow	workflow	NOUN
cana-275	107	8	developed	develop	VERB
cana-275	107	9	for	for	ADP
cana-275	107	10	the	the	DET
cana-275	107	11	purpose	purpose	NOUN
cana-275	107	12	of	of	ADP
cana-275	107	13	forecasting	forecast	VERB
cana-275	107	14	chaotic	chaotic	ADJ
cana-275	107	15	actions	action	NOUN
cana-275	107	16	in	in	ADP
cana-275	107	17	nonlinear	nonlinear	ADJ
cana-275	107	18	systems	system	NOUN
cana-275	107	19	.	.	PUNCT
cana-275	108	1	from	from	ADP
cana-275	108	2	collecting	collect	VERB
cana-275	108	3	and	and	CCONJ
cana-275	108	4	cleaning	clean	VERB
cana-275	108	5	data	datum	NOUN
cana-275	108	6	to	to	ADP
cana-275	108	7	training	training	NOUN
cana-275	108	8	and	and	CCONJ
cana-275	108	9	evaluating	evaluating	NOUN
cana-275	108	10	models	model	NOUN
cana-275	108	11	and	and	CCONJ
cana-275	108	12	finally	finally	ADV
cana-275	108	13	visualizing	visualize	VERB
cana-275	108	14	the	the	DET
cana-275	108	15	results	result	NOUN
cana-275	108	16	,	,	PUNCT
cana-275	108	17	every	every	DET
cana-275	108	18	step	step	NOUN
cana-275	108	19	is	be	AUX
cana-275	108	20	critical	critical	ADJ
cana-275	108	21	.	.	PUNCT
cana-275	109	1	by	by	ADP
cana-275	109	2	taking	take	VERB
cana-275	109	3	a	a	DET
cana-275	109	4	holistic	holistic	ADJ
cana-275	109	5	view	view	NOUN
cana-275	109	6	,	,	PUNCT
cana-275	109	7	scientists	scientist	NOUN
cana-275	109	8	and	and	CCONJ
cana-275	109	9	engineers	engineer	NOUN
cana-275	109	10	may	may	AUX
cana-275	109	11	better	well	ADV
cana-275	109	12	comprehend	comprehend	VERB
cana-275	109	13	and	and	CCONJ
cana-275	109	14	anticipate	anticipate	VERB
cana-275	109	15	chaotic	chaotic	ADJ
cana-275	109	16	behaviours	behaviour	NOUN
cana-275	109	17	by	by	ADP
cana-275	109	18	delving	delve	VERB
cana-275	109	19	into	into	ADP
cana-275	109	20	the	the	DET
cana-275	109	21	complex	complex	ADJ
cana-275	109	22	dynamics	dynamic	NOUN
cana-275	109	23	of	of	ADP
cana-275	109	24	nonlinear	nonlinear	ADJ
cana-275	109	25	systems	system	NOUN
cana-275	109	26	.	.	PUNCT
cana-275	110	1	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
cana-275	110	2	=	=	SYM
cana-275	110	3	1	1	NUM
cana-275	110	4	𝐿	𝐿	PROPN
cana-275	110	5	∑	∑	PROPN
cana-275	110	6	1	1	NUM
cana-275	110	7	𝑜𝑗	𝑜𝑗	NOUN
cana-275	110	8	∑	∑	PROPN
cana-275	110	9	(	(	PUNCT
cana-275	110	10	𝑧𝑗𝑘	𝑧𝑗𝑘	ADV
cana-275	110	11	−	−	PRON
cana-275	110	12	�	�	PROPN
cana-275	110	13	̂	̂	NOUN
cana-275	110	14	�	�	NOUN
cana-275	110	15	𝑗𝑘	𝑗𝑘	NOUN
cana-275	110	16	)	)	PUNCT
cana-275	110	17	2	2	NUM
cana-275	110	18	+	+	CCONJ
cana-275	110	19	𝜔	𝜔	ADP
cana-275	110	20	∑	∑	PROPN
cana-275	110	21	𝛾𝑙	𝛾𝑙	ADP
cana-275	110	22	2𝑞	2𝑞	NUM
cana-275	110	23	𝑙=1	𝑙=1	PUNCT
cana-275	110	24	𝑜𝑗	𝑜𝑗	PROPN
cana-275	110	25	𝑘=1	𝑘=1	PUNCT
cana-275	110	26	𝐿	𝐿	PROPN
cana-275	110	27	𝑗=1	𝑗=1	PROPN
cana-275	110	28	(	(	PUNCT
cana-275	110	29	1	1	X
cana-275	110	30	)	)	PUNCT
cana-275	110	31	root	root	NOUN
cana-275	110	32	mean	mean	VERB
cana-275	110	33	squared	square	VERB
cana-275	110	34	error	error	NOUN
cana-275	110	35	(	(	PUNCT
cana-275	110	36	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
cana-275	110	37	)	)	PUNCT
cana-275	110	38	is	be	AUX
cana-275	110	39	a	a	DET
cana-275	110	40	statistic	statistic	NOUN
cana-275	110	41	used	use	VERB
cana-275	110	42	to	to	PART
cana-275	110	43	evaluate	evaluate	VERB
cana-275	110	44	the	the	DET
cana-275	110	45	precision	precision	NOUN
cana-275	110	46	of	of	ADP
cana-275	110	47	a	a	DET
cana-275	110	48	prediction	prediction	NOUN
cana-275	110	49	model	model	NOUN
cana-275	110	50	in	in	ADP
cana-275	110	51	the	the	DET
cana-275	110	52	equation	equation	NOUN
cana-275	110	53	(	(	PUNCT
cana-275	110	54	1	1	NUM
cana-275	110	55	)	)	PUNCT
cana-275	110	56	.	.	PUNCT
cana-275	111	1	there	there	PRON
cana-275	111	2	are	be	VERB
cana-275	111	3	two	two	NUM
cana-275	111	4	primary	primary	ADJ
cana-275	111	5	parts	part	NOUN
cana-275	111	6	.	.	PUNCT
cana-275	112	1	the	the	DET
cana-275	112	2	initial	initial	ADJ
cana-275	112	3	step	step	NOUN
cana-275	112	4	is	be	AUX
cana-275	112	5	to	to	PART
cana-275	112	6	add	add	VERB
cana-275	112	7	up	up	ADP
cana-275	112	8	,	,	PUNCT
cana-275	112	9	across	across	ADP
cana-275	112	10	𝐿	𝐿	PROPN
cana-275	112	11	folds	fold	NOUN
cana-275	112	12	,	,	PUNCT
cana-275	112	13	with	with	ADP
cana-275	112	14	𝑜𝑗	𝑜𝑗	PROPN
cana-275	112	15	data	data	PROPN
cana-275	112	16	points	point	NOUN
cana-275	112	17	each	each	PRON
cana-275	112	18	,	,	PUNCT
cana-275	112	19	the	the	DET
cana-275	112	20	squared	square	VERB
cana-275	112	21	discrepancies	discrepancy	NOUN
cana-275	112	22	among	among	ADP
cana-275	112	23	the	the	DET
cana-275	112	24	values	value	NOUN
cana-275	112	25	that	that	PRON
cana-275	112	26	were	be	AUX
cana-275	112	27	observed	observe	VERB
cana-275	112	28	(	(	PUNCT
cana-275	112	29	𝑧𝑗𝑘	𝑧𝑗𝑘	ADV
cana-275	112	30	)	)	PUNCT
cana-275	112	31	with	with	ADP
cana-275	112	32	their	their	PRON
cana-275	112	33	matching	matching	NOUN
cana-275	112	34	forecasts	forecast	NOUN
cana-275	112	35	(	(	PUNCT
cana-275	112	36	�	�	PROPN
cana-275	112	37	̂	̂	NOUN
cana-275	112	38	�	�	NOUN
cana-275	112	39	𝑗𝑘	𝑗𝑘	NOUN
cana-275	112	40	)	)	PUNCT
cana-275	112	41	.	.	PUNCT
cana-275	113	1	this	this	DET
cana-275	113	2	measures	measure	VERB
cana-275	113	3	the	the	DET
cana-275	113	4	total	total	ADJ
cana-275	113	5	dataset	dataset	NOUN
cana-275	113	6	-	-	PUNCT
cana-275	113	7	wide	wide	ADJ
cana-275	113	8	error	error	NOUN
cana-275	113	9	in	in	ADP
cana-275	113	10	model	model	NOUN
cana-275	113	11	predictions	prediction	NOUN
cana-275	113	12	.	.	PUNCT
cana-275	114	1	regularization	regularization	NOUN
cana-275	114	2	,	,	PUNCT
cana-275	114	3	a	a	DET
cana-275	114	4	method	method	NOUN
cana-275	114	5	to	to	PART
cana-275	114	6	penalize	penalize	VERB
cana-275	114	7	complicated	complicated	ADJ
cana-275	114	8	models	model	NOUN
cana-275	114	9	and	and	CCONJ
cana-275	114	10	avoid	avoid	VERB
cana-275	114	11	overfitting	overfitting	NOUN
cana-275	114	12	,	,	PUNCT
cana-275	114	13	is	be	AUX
cana-275	114	14	introduced	introduce	VERB
cana-275	114	15	in	in	ADP
cana-275	114	16	the	the	DET
cana-275	114	17	second	second	ADJ
cana-275	114	18	section	section	NOUN
cana-275	114	19	.	.	PUNCT
cana-275	115	1	a	a	DET
cana-275	115	2	penalty	penalty	NOUN
cana-275	115	3	parameter	parameter	NOUN
cana-275	115	4	𝜔	𝜔	PROPN
cana-275	115	5	,	,	PUNCT
cana-275	115	6	which	which	PRON
cana-275	115	7	signifies	signify	VERB
cana-275	115	8	the	the	DET
cana-275	115	9	intensity	intensity	NOUN
cana-275	115	10	of	of	ADP
cana-275	115	11	regularization	regularization	NOUN
cana-275	115	12	,	,	PUNCT
cana-275	115	13	with	with	ADP
cana-275	115	14	a	a	DET
cana-275	115	15	sum	sum	NOUN
cana-275	115	16	over	over	ADP
cana-275	115	17	𝑞	𝑞	ADP
cana-275	115	18	squared	square	VERB
cana-275	115	19	regression	regression	NOUN
cana-275	115	20	coefficients	coefficient	NOUN
cana-275	115	21	(	(	PUNCT
cana-275	115	22	𝛾𝑙	𝛾𝑙	ADP
cana-275	115	23	2	2	NUM
cana-275	115	24	)	)	PUNCT
cana-275	115	25	make	make	VERB
cana-275	115	26	up	up	ADP
cana-275	115	27	the	the	DET
cana-275	115	28	regularization	regularization	NOUN
cana-275	115	29	term	term	NOUN
cana-275	115	30	.	.	PUNCT
cana-275	116	1	the	the	DET
cana-275	116	2	correlation	correlation	NOUN
cana-275	116	3	between	between	ADP
cana-275	116	4	the	the	DET
cana-275	116	5	regression	regression	NOUN
cana-275	116	6	model	model	NOUN
cana-275	116	7	's	's	PART
cana-275	116	8	predictor	predictor	NOUN
cana-275	116	9	and	and	CCONJ
cana-275	116	10	response	response	NOUN
cana-275	116	11	variables	variable	NOUN
cana-275	116	12	is	be	AUX
cana-275	116	13	established	establish	VERB
cana-275	116	14	by	by	ADP
cana-275	116	15	these	these	DET
cana-275	116	16	coefficients	coefficient	NOUN
cana-275	116	17	.	.	PUNCT
cana-275	117	1	to	to	PART
cana-275	117	2	promote	promote	VERB
cana-275	117	3	a	a	DET
cana-275	117	4	balance	balance	NOUN
cana-275	117	5	between	between	ADP
cana-275	117	6	model	model	NOUN
cana-275	117	7	correctness	correctness	NOUN
cana-275	117	8	&	&	CCONJ
cana-275	117	9	simplicity	simplicity	NOUN
cana-275	117	10	during	during	ADP
cana-275	117	11	cross	cross	ADJ
cana-275	117	12	-	-	ADJ
cana-275	117	13	validation	validation	ADJ
cana-275	117	14	analysis	analysis	NOUN
cana-275	117	15	,	,	PUNCT
cana-275	117	16	the	the	DET
cana-275	117	17	regularization	regularization	NOUN
cana-275	117	18	term	term	NOUN
cana-275	117	19	discourages	discourage	VERB
cana-275	117	20	extremely	extremely	ADV
cana-275	117	21	large	large	ADJ
cana-275	117	22	coefficient	coefficient	NOUN
cana-275	117	23	values	value	NOUN
cana-275	117	24	,	,	PUNCT
cana-275	117	25	which	which	PRON
cana-275	117	26	in	in	ADP
cana-275	117	27	turn	turn	NOUN
cana-275	117	28	supports	support	VERB
cana-275	117	29	simpler	simple	ADJ
cana-275	117	30	models	model	NOUN
cana-275	117	31	.	.	PUNCT
cana-275	118	1	𝑆𝑡𝑟𝑒𝑠𝑠	𝑆𝑡𝑟𝑒𝑠𝑠	PROPN
cana-275	118	2	=	=	PUNCT
cana-275	118	3	√	√	ADP
cana-275	118	4	∑	∑	PROPN
cana-275	118	5	∑	∑	PROPN
cana-275	118	6	𝑥𝑗𝑘(𝑔(𝑒𝑗𝑘)−𝑔(𝛼𝑗𝑘	𝑥𝑗𝑘(𝑔(𝑒𝑗𝑘)−𝑔(𝛼𝑗𝑘	PROPN
cana-275	118	7	)	)	PUNCT
cana-275	118	8	)	)	PUNCT
cana-275	118	9	2	2	NUM
cana-275	119	1	+	+	NOUN
cana-275	119	2	𝛽	𝛽	NOUN
cana-275	119	3	∑	∑	PUNCT
cana-275	119	4	𝛾𝑙	𝛾𝑙	ADP
cana-275	119	5	2𝑞	2𝑞	NUM
cana-275	119	6	𝑙=1	𝑙=1	ADP
cana-275	119	7	𝑜	𝑜	PROPN
cana-275	119	8	𝑘=1	𝑘=1	X
cana-275	119	9	𝑜	𝑜	X
cana-275	119	10	𝑗=1	𝑗=1	NOUN
cana-275	119	11	∑	∑	ADV
cana-275	119	12	∑	∑	ADV
cana-275	119	13	𝑥𝑗𝑘.(𝑔(𝑒𝑗𝑘	𝑥𝑗𝑘.(𝑔(𝑒𝑗𝑘	PROPN
cana-275	119	14	)	)	PUNCT
cana-275	119	15	)	)	PUNCT
cana-275	119	16	2	2	NUM
cana-275	120	1	+	+	NOUN
cana-275	120	2	𝛾	𝛾	NOUN
cana-275	120	3	∑	∑	PUNCT
cana-275	120	4	𝛽𝑙	𝛽𝑙	ADP
cana-275	120	5	2𝑞	2𝑞	NOUN
cana-275	120	6	𝑙=1	𝑙=1	ADP
cana-275	120	7	𝑜	𝑜	PROPN
cana-275	120	8	𝑘=1	𝑘=1	NOUN
cana-275	120	9	𝑜	𝑜	VERB
cana-275	120	10	𝑗=1	𝑗=1	X
cana-275	120	11	(	(	PUNCT
cana-275	120	12	2	2	X
cana-275	120	13	)	)	PUNCT
cana-275	120	14	the	the	DET
cana-275	120	15	stress	stress	NOUN
cana-275	120	16	in	in	ADP
cana-275	120	17	the	the	DET
cana-275	120	18	equation	equation	NOUN
cana-275	120	19	(	(	PUNCT
cana-275	120	20	2	2	X
cana-275	120	21	)	)	PUNCT
cana-275	120	22	provides	provide	VERB
cana-275	120	23	a	a	DET
cana-275	120	24	way	way	NOUN
cana-275	120	25	to	to	PART
cana-275	120	26	quantify	quantify	VERB
cana-275	120	27	the	the	DET
cana-275	120	28	dissimilarity	dissimilarity	NOUN
cana-275	120	29	between	between	ADP
cana-275	120	30	the	the	DET
cana-275	120	31	observed	observed	ADJ
cana-275	120	32	and	and	CCONJ
cana-275	120	33	low	low	ADV
cana-275	120	34	-	-	PUNCT
cana-275	120	35	dimensional	dimensional	ADJ
cana-275	120	36	distances	distance	NOUN
cana-275	120	37	.	.	PUNCT
cana-275	121	1	doing	do	VERB
cana-275	121	2	the	the	DET
cana-275	121	3	sum	sum	NOUN
cana-275	121	4	twice	twice	ADV
cana-275	121	5	over	over	ADP
cana-275	121	6	the	the	DET
cana-275	121	7	𝑗	𝑗	NOUN
cana-275	121	8	and	and	CCONJ
cana-275	121	9	𝑘	𝑘	PROPN
cana-275	121	10	indices	index	NOUN
cana-275	121	11	is	be	AUX
cana-275	121	12	the	the	DET
cana-275	121	13	same	same	ADJ
cana-275	121	14	as	as	ADP
cana-275	121	15	going	go	VERB
cana-275	121	16	through	through	ADP
cana-275	121	17	every	every	DET
cana-275	121	18	possible	possible	ADJ
cana-275	121	19	dataset	dataset	NOUN
cana-275	121	20	iteration	iteration	NOUN
cana-275	121	21	.	.	PUNCT
cana-275	122	1	the	the	DET
cana-275	122	2	weight	weight	NOUN
cana-275	122	3	given	give	VERB
cana-275	122	4	to	to	ADP
cana-275	122	5	the	the	DET
cana-275	122	6	distance	distance	NOUN
cana-275	122	7	among	among	ADP
cana-275	122	8	points	point	NOUN
cana-275	122	9	𝑗	𝑗	VERB
cana-275	122	10	and	and	CCONJ
cana-275	122	11	𝑘	𝑘	PROPN
cana-275	122	12	is	be	AUX
cana-275	122	13	denoted	denote	VERB
cana-275	122	14	by	by	ADP
cana-275	122	15	𝑥𝑗𝑘	𝑥𝑗𝑘	NOUN
cana-275	122	16	,	,	PUNCT
cana-275	122	17	and	and	CCONJ
cana-275	122	18	the	the	DET
cana-275	122	19	transformed	transform	VERB
cana-275	122	20	measured	measure	VERB
cana-275	122	21	and	and	CCONJ
cana-275	122	22	low	low	ADV
cana-275	122	23	-	-	PUNCT
cana-275	122	24	dimensional	dimensional	ADJ
cana-275	122	25	distances	distance	NOUN
cana-275	122	26	are	be	AUX
cana-275	122	27	denoted	denote	VERB
cana-275	122	28	by	by	ADP
cana-275	122	29	𝑔(𝑒𝑗𝑘	𝑔(𝑒𝑗𝑘	PROPN
cana-275	122	30	)	)	PUNCT
cana-275	122	31	and	and	CCONJ
cana-275	122	32	𝑔(𝛼𝑗𝑘	𝑔(𝛼𝑗𝑘	PROPN
cana-275	122	33	)	)	PUNCT
cana-275	122	34	,	,	PUNCT
cana-275	122	35	communications	communication	NOUN
cana-275	122	36	on	on	ADP
cana-275	122	37	applied	apply	VERB
cana-275	122	38	nonlinear	nonlinear	ADJ
cana-275	122	39	analysis	analysis	NOUN
cana-275	122	40	issn	issn	NOUN
cana-275	122	41	:	:	PUNCT
cana-275	122	42	1074	1074	NUM
cana-275	122	43	-	-	PUNCT
cana-275	122	44	133x	133x	NUM
cana-275	122	45	vol	vol	NOUN
cana-275	122	46	30	30	NUM
cana-275	123	1	no	no	NOUN
cana-275	123	2	.	.	NOUN
cana-275	123	3	3	3	NUM
cana-275	123	4	(	(	PUNCT
cana-275	123	5	2023	2023	NUM
cana-275	123	6	)	)	PUNCT
cana-275	123	7	6	6	NUM
cana-275	123	8	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	123	9	respectively	respectively	ADV
cana-275	123	10	.	.	PUNCT
cana-275	124	1	the	the	DET
cana-275	124	2	significance	significance	NOUN
cana-275	124	3	of	of	ADP
cana-275	124	4	recording	record	VERB
cana-275	124	5	the	the	DET
cana-275	124	6	relationships	relationship	NOUN
cana-275	124	7	among	among	ADP
cana-275	124	8	data	datum	NOUN
cana-275	124	9	points	point	NOUN
cana-275	124	10	is	be	AUX
cana-275	124	11	shown	show	VERB
cana-275	124	12	by	by	ADP
cana-275	124	13	square	square	ADJ
cana-275	124	14	rooting	rooting	NOUN
cana-275	124	15	and	and	CCONJ
cana-275	124	16	adding	add	VERB
cana-275	124	17	the	the	DET
cana-275	124	18	weights	weight	NOUN
cana-275	124	19	and	and	CCONJ
cana-275	124	20	transformations	transformation	NOUN
cana-275	124	21	.	.	PUNCT
cana-275	125	1	parameters	parameter	NOUN
cana-275	125	2	𝛾𝑙	𝛾𝑙	ADP
cana-275	125	3	2	2	NUM
cana-275	125	4	and	and	CCONJ
cana-275	125	5	𝛽𝑙	𝛽𝑙	VERB
cana-275	125	6	2	2	NUM
cana-275	125	7	in	in	ADP
cana-275	125	8	the	the	DET
cana-275	125	9	transformation	transformation	NOUN
cana-275	125	10	functions	function	NOUN
cana-275	125	11	and	and	CCONJ
cana-275	125	12	weighting	weight	VERB
cana-275	125	13	scheme	scheme	NOUN
cana-275	125	14	,	,	PUNCT
cana-275	125	15	respectively	respectively	ADV
cana-275	125	16	,	,	PUNCT
cana-275	125	17	influence	influence	VERB
cana-275	125	18	the	the	DET
cana-275	125	19	strength	strength	NOUN
cana-275	125	20	of	of	ADP
cana-275	125	21	regularization	regularization	NOUN
cana-275	125	22	,	,	PUNCT
cana-275	125	23	which	which	PRON
cana-275	125	24	are	be	AUX
cana-275	125	25	introduced	introduce	VERB
cana-275	125	26	in	in	ADP
cana-275	125	27	the	the	DET
cana-275	125	28	second	second	ADJ
cana-275	125	29	portion	portion	NOUN
cana-275	125	30	of	of	ADP
cana-275	125	31	the	the	DET
cana-275	125	32	equation	equation	NOUN
cana-275	125	33	as	as	ADP
cana-275	125	34	regularization	regularization	NOUN
cana-275	125	35	terms	term	NOUN
cana-275	125	36	.	.	PUNCT
cana-275	126	1	to	to	PART
cana-275	126	2	encourage	encourage	VERB
cana-275	126	3	easier	easy	ADJ
cana-275	126	4	and	and	CCONJ
cana-275	126	5	more	more	ADV
cana-275	126	6	interpretable	interpretable	ADJ
cana-275	126	7	models	model	NOUN
cana-275	126	8	,	,	PUNCT
cana-275	126	9	the	the	DET
cana-275	126	10	regularization	regularization	NOUN
cana-275	126	11	factors	factor	NOUN
cana-275	126	12	penalize	penalize	VERB
cana-275	126	13	complexity	complexity	NOUN
cana-275	126	14	.	.	PUNCT
cana-275	127	1	a	a	DET
cana-275	127	2	thorough	thorough	ADJ
cana-275	127	3	examination	examination	NOUN
cana-275	127	4	of	of	ADP
cana-275	127	5	data	datum	NOUN
cana-275	127	6	visualization	visualization	NOUN
cana-275	127	7	is	be	AUX
cana-275	127	8	made	make	VERB
cana-275	127	9	possible	possible	ADJ
cana-275	127	10	by	by	ADP
cana-275	127	11	this	this	DET
cana-275	127	12	approach	approach	NOUN
cana-275	127	13	,	,	PUNCT
cana-275	127	14	which	which	PRON
cana-275	127	15	strikes	strike	VERB
cana-275	127	16	a	a	DET
cana-275	127	17	balance	balance	NOUN
cana-275	127	18	between	between	ADP
cana-275	127	19	representational	representational	ADJ
cana-275	127	20	integrity	integrity	NOUN
cana-275	127	21	and	and	CCONJ
cana-275	127	22	regularization	regularization	NOUN
cana-275	127	23	to	to	PART
cana-275	127	24	improve	improve	VERB
cana-275	127	25	resilience	resilience	NOUN
cana-275	127	26	and	and	CCONJ
cana-275	127	27	interpretability	interpretability	NOUN
cana-275	127	28	.	.	PUNCT
cana-275	128	1	𝐸𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑐𝑦	𝐸𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑐𝑦	NOUN
cana-275	128	2	=	=	NOUN
cana-275	128	3	1	1	NUM
cana-275	128	4	𝑂	𝑂	NOUN
cana-275	128	5	∑	∑	PUNCT
cana-275	128	6	(	(	PUNCT
cana-275	128	7	1	1	NUM
cana-275	128	8	−	−	PROPN
cana-275	128	9	𝑢𝑗	𝑢𝑗	NOUN
cana-275	128	10	𝑞𝑗−𝑡𝑗	𝑞𝑗−𝑡𝑗	X
cana-275	128	11	)	)	PUNCT
cana-275	128	12	.	.	PUNCT
cana-275	129	1	(	(	PUNCT
cana-275	129	2	1	1	NUM
cana-275	129	3	−	−	NOUN
cana-275	129	4	𝑛𝑗	𝑛𝑗	ADP
cana-275	129	5	𝑜𝑗	𝑜𝑗	NOUN
cana-275	129	6	)	)	PUNCT
cana-275	129	7	𝑂	𝑂	PROPN
cana-275	129	8	𝑗=1	𝑗=1	PROPN
cana-275	129	9	.	.	PUNCT
cana-275	130	1	𝑙𝑜𝑔2	𝑙𝑜𝑔2	PROPN
cana-275	130	2	(	(	PUNCT
cana-275	130	3	𝑑𝑗+𝑐𝑗	𝑑𝑗+𝑐𝑗	PUNCT
cana-275	130	4	𝑏𝑗.𝑒𝑗	𝑏𝑗.𝑒𝑗	NOUN
cana-275	130	5	)	)	PUNCT
cana-275	130	6	(	(	PUNCT
cana-275	130	7	3	3	X
cana-275	130	8	)	)	PUNCT
cana-275	130	9	𝐸𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑐𝑦	𝐸𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑐𝑦	PROPN
cana-275	130	10	stands	stand	VERB
cana-275	130	11	for	for	ADP
cana-275	130	12	the	the	DET
cana-275	130	13	total	total	ADJ
cana-275	130	14	efficiency	efficiency	NOUN
cana-275	130	15	of	of	ADP
cana-275	130	16	performance	performance	NOUN
cana-275	130	17	of	of	ADP
cana-275	130	18	𝑂	𝑂	PROPN
cana-275	130	19	nodes	node	NOUN
cana-275	130	20	for	for	ADP
cana-275	130	21	computing	compute	VERB
cana-275	130	22	in	in	ADP
cana-275	130	23	the	the	DET
cana-275	130	24	equation	equation	NOUN
cana-275	130	25	(	(	PUNCT
cana-275	130	26	3	3	NUM
cana-275	130	27	)	)	PUNCT
cana-275	130	28	.	.	PUNCT
cana-275	131	1	the	the	DET
cana-275	131	2	execution	execution	NOUN
cana-275	131	3	time	time	NOUN
cana-275	131	4	(	(	PUNCT
cana-275	131	5	𝑢𝑗	𝑢𝑗	NOUN
cana-275	131	6	)	)	PUNCT
cana-275	131	7	,	,	PUNCT
cana-275	131	8	the	the	DET
cana-275	131	9	total	total	ADJ
cana-275	131	10	amount	amount	NOUN
cana-275	131	11	of	of	ADP
cana-275	131	12	processors	processor	NOUN
cana-275	131	13	(	(	PUNCT
cana-275	131	14	𝑞𝑗	𝑞𝑗	NUM
cana-275	131	15	)	)	PUNCT
cana-275	131	16	,	,	PUNCT
cana-275	131	17	and	and	CCONJ
cana-275	131	18	the	the	DET
cana-275	131	19	speedup	speedup	NOUN
cana-275	131	20	obtained	obtain	VERB
cana-275	131	21	from	from	ADP
cana-275	131	22	the	the	DET
cana-275	131	23	𝑗th	𝑗th	NOUN
cana-275	131	24	node	node	NOUN
cana-275	131	25	(	(	PUNCT
cana-275	131	26	𝑡𝑗	𝑡𝑗	NOUN
cana-275	131	27	)	)	PUNCT
cana-275	131	28	are	be	AUX
cana-275	131	29	all	all	DET
cana-275	131	30	variables	variable	NOUN
cana-275	131	31	.	.	PUNCT
cana-275	132	1	the	the	DET
cana-275	132	2	𝑗th	𝑗th	NUM
cana-275	132	3	node	node	PROPN
cana-275	132	4	's	's	PART
cana-275	132	5	memory	memory	NOUN
cana-275	132	6	utilization	utilization	NOUN
cana-275	132	7	is	be	AUX
cana-275	132	8	denoted	denote	VERB
cana-275	132	9	as	as	ADP
cana-275	132	10	𝑛𝑗	𝑛𝑗	ADV
cana-275	132	11	and	and	CCONJ
cana-275	132	12	its	its	PRON
cana-275	132	13	available	available	ADJ
cana-275	132	14	memory	memory	NOUN
cana-275	132	15	as	as	ADP
cana-275	132	16	𝑜𝑗.	𝑜𝑗.	NUM
cana-275	132	17	the	the	DET
cana-275	132	18	data	data	NOUN
cana-275	132	19	transmission	transmission	NOUN
cana-275	132	20	speeds	speed	NOUN
cana-275	132	21	(	(	PUNCT
cana-275	132	22	𝑏𝑗	𝑏𝑗	NOUN
cana-275	132	23	)	)	PUNCT
cana-275	132	24	,	,	PUNCT
cana-275	132	25	input	input	NOUN
cana-275	132	26	and	and	CCONJ
cana-275	132	27	output	output	NOUN
cana-275	132	28	processes	process	NOUN
cana-275	132	29	(	(	PUNCT
cana-275	132	30	𝑐𝑗	𝑐𝑗	NOUN
cana-275	132	31	)	)	PUNCT
cana-275	132	32	,	,	PUNCT
cana-275	132	33	&	&	CCONJ
cana-275	132	34	communication	communication	NOUN
cana-275	132	35	delay	delay	NOUN
cana-275	132	36	(	(	PUNCT
cana-275	132	37	𝑑𝑗	𝑑𝑗	NOUN
cana-275	132	38	,	,	PUNCT
cana-275	132	39	𝑒𝑗	𝑒𝑗	PUNCT
cana-275	132	40	)	)	PUNCT
cana-275	132	41	are	be	AUX
cana-275	132	42	all	all	PRON
cana-275	132	43	part	part	NOUN
cana-275	132	44	of	of	ADP
cana-275	132	45	the	the	DET
cana-275	132	46	ratio	ratio	NOUN
cana-275	132	47	represented	represent	VERB
cana-275	132	48	by	by	ADP
cana-275	132	49	𝑑𝑗+𝑐𝑗	𝑑𝑗+𝑐𝑗	PUNCT
cana-275	132	50	𝑏𝑗.𝑒𝑗	𝑏𝑗.𝑒𝑗	NOUN
cana-275	132	51	.	.	PUNCT
cana-275	133	1	computing	compute	VERB
cana-275	133	2	efficiency	efficiency	NOUN
cana-275	133	3	of	of	ADP
cana-275	133	4	resources	resource	NOUN
cana-275	133	5	in	in	ADP
cana-275	133	6	dispersed	disperse	VERB
cana-275	133	7	contexts	contexts	NOUN
cana-275	133	8	may	may	AUX
cana-275	133	9	be	be	AUX
cana-275	133	10	thoroughly	thoroughly	ADV
cana-275	133	11	evaluated	evaluate	VERB
cana-275	133	12	using	use	VERB
cana-275	133	13	the	the	DET
cana-275	133	14	equation	equation	NOUN
cana-275	133	15	(	(	PUNCT
cana-275	133	16	3	3	NUM
cana-275	133	17	)	)	PUNCT
cana-275	133	18	,	,	PUNCT
cana-275	133	19	which	which	PRON
cana-275	133	20	accounts	account	VERB
cana-275	133	21	for	for	ADP
cana-275	133	22	the	the	DET
cana-275	133	23	interaction	interaction	NOUN
cana-275	133	24	of	of	ADP
cana-275	133	25	time	time	NOUN
cana-275	133	26	,	,	PUNCT
cana-275	133	27	memory	memory	NOUN
cana-275	133	28	,	,	PUNCT
cana-275	133	29	&	&	CCONJ
cana-275	133	30	communication	communication	NOUN
cana-275	133	31	elements	element	NOUN
cana-275	133	32	.	.	PUNCT
cana-275	134	1	figure	figure	VERB
cana-275	134	2	2	2	NUM
cana-275	134	3	:	:	PUNCT
cana-275	134	4	comprehensive	comprehensive	ADJ
cana-275	134	5	overview	overview	NOUN
cana-275	134	6	of	of	ADP
cana-275	134	7	the	the	DET
cana-275	134	8	cdp	cdp	PROPN
cana-275	134	9	-	-	PUNCT
cana-275	134	10	del	del	ADJ
cana-275	134	11	method	method	NOUN
cana-275	134	12	figure	figure	NOUN
cana-275	134	13	2	2	NUM
cana-275	134	14	shows	show	VERB
cana-275	134	15	a	a	DET
cana-275	134	16	detailed	detailed	ADJ
cana-275	134	17	explanation	explanation	NOUN
cana-275	134	18	of	of	ADP
cana-275	134	19	the	the	DET
cana-275	134	20	chaotic	chaotic	ADJ
cana-275	134	21	dynamics	dynamic	NOUN
cana-275	134	22	prediction	prediction	NOUN
cana-275	134	23	with	with	ADP
cana-275	134	24	deep	deep	ADJ
cana-275	134	25	ensemble	ensemble	ADJ
cana-275	134	26	learning	learning	NOUN
cana-275	134	27	(	(	PUNCT
cana-275	134	28	cdp	cdp	NOUN
cana-275	134	29	-	-	PUNCT
cana-275	134	30	del	del	ADJ
cana-275	134	31	)	)	PUNCT
cana-275	134	32	method	method	NOUN
cana-275	134	33	,	,	PUNCT
cana-275	134	34	which	which	PRON
cana-275	134	35	is	be	AUX
cana-275	134	36	an	an	DET
cana-275	134	37	intricate	intricate	ADJ
cana-275	134	38	and	and	CCONJ
cana-275	134	39	multi	multi	ADJ
cana-275	134	40	-	-	ADJ
cana-275	134	41	layered	layered	ADJ
cana-275	134	42	process	process	NOUN
cana-275	134	43	developed	develop	VERB
cana-275	134	44	to	to	PART
cana-275	134	45	deal	deal	VERB
cana-275	134	46	with	with	ADP
cana-275	134	47	chaotic	chaotic	ADJ
cana-275	134	48	systems	system	NOUN
cana-275	134	49	in	in	ADP
cana-275	134	50	contexts	context	NOUN
cana-275	134	51	as	as	ADV
cana-275	134	52	diverse	diverse	ADJ
cana-275	134	53	as	as	ADP
cana-275	134	54	biology	biology	NOUN
cana-275	134	55	,	,	PUNCT
cana-275	134	56	engineering	engineering	NOUN
cana-275	134	57	,	,	PUNCT
cana-275	134	58	physics	physics	NOUN
cana-275	134	59	,	,	PUNCT
cana-275	134	60	as	as	ADV
cana-275	134	61	well	well	ADV
cana-275	134	62	as	as	ADP
cana-275	134	63	finance	finance	NOUN
cana-275	134	64	.	.	PUNCT
cana-275	135	1	the	the	DET
cana-275	135	2	complex	complex	ADJ
cana-275	135	3	interplay	interplay	NOUN
cana-275	135	4	of	of	ADP
cana-275	135	5	many	many	ADJ
cana-275	135	6	parts	part	NOUN
cana-275	135	7	is	be	AUX
cana-275	135	8	central	central	ADJ
cana-275	135	9	to	to	ADP
cana-275	135	10	this	this	DET
cana-275	135	11	method	method	NOUN
cana-275	135	12	,	,	PUNCT
cana-275	135	13	because	because	SCONJ
cana-275	135	14	it	it	PRON
cana-275	135	15	all	all	PRON
cana-275	135	16	work	work	VERB
cana-275	135	17	together	together	ADV
cana-275	135	18	to	to	PART
cana-275	135	19	explain	explain	VERB
cana-275	135	20	the	the	DET
cana-275	135	21	nonlinear	nonlinear	ADJ
cana-275	135	22	systems	system	NOUN
cana-275	135	23	'	'	PART
cana-275	135	24	seemingly	seemingly	ADV
cana-275	135	25	random	random	ADJ
cana-275	135	26	behaviour	behaviour	NOUN
cana-275	135	27	.	.	PUNCT
cana-275	136	1	an	an	DET
cana-275	136	2	approach	approach	NOUN
cana-275	136	3	that	that	PRON
cana-275	136	4	goes	go	VERB
cana-275	136	5	beyond	beyond	ADP
cana-275	136	6	simple	simple	ADJ
cana-275	136	7	feature	feature	NOUN
cana-275	136	8	extraction	extraction	NOUN
cana-275	136	9	is	be	AUX
cana-275	136	10	introduced	introduce	VERB
cana-275	136	11	in	in	ADP
cana-275	136	12	the	the	DET
cana-275	136	13	first	first	ADJ
cana-275	136	14	module	module	NOUN
cana-275	136	15	,	,	PUNCT
cana-275	136	16	feature	feature	NOUN
cana-275	136	17	extraction	extraction	NOUN
cana-275	136	18	and	and	CCONJ
cana-275	136	19	transformation	transformation	NOUN
cana-275	136	20	.	.	PUNCT
cana-275	137	1	an	an	DET
cana-275	137	2	acute	acute	ADJ
cana-275	137	3	grasp	grasp	NOUN
cana-275	137	4	of	of	ADP
cana-275	137	5	temporal	temporal	ADJ
cana-275	137	6	relationships	relationship	NOUN
cana-275	137	7	guides	guide	VERB
cana-275	137	8	the	the	DET
cana-275	137	9	transformation	transformation	NOUN
cana-275	137	10	of	of	ADP
cana-275	137	11	important	important	ADJ
cana-275	137	12	aspects	aspect	NOUN
cana-275	137	13	that	that	PRON
cana-275	137	14	are	be	AUX
cana-275	137	15	found	find	VERB
cana-275	137	16	and	and	CCONJ
cana-275	137	17	retrieved	retrieve	VERB
cana-275	137	18	from	from	ADP
cana-275	137	19	communications	communication	NOUN
cana-275	137	20	on	on	ADP
cana-275	137	21	applied	apply	VERB
cana-275	137	22	nonlinear	nonlinear	ADJ
cana-275	137	23	analysis	analysis	NOUN
cana-275	137	24	issn	issn	NOUN
cana-275	137	25	:	:	PUNCT
cana-275	137	26	1074	1074	NUM
cana-275	137	27	-	-	PUNCT
cana-275	137	28	133x	133x	NUM
cana-275	137	29	vol	vol	NOUN
cana-275	137	30	30	30	NUM
cana-275	137	31	no	no	NOUN
cana-275	137	32	.	.	NOUN
cana-275	137	33	3	3	NUM
cana-275	137	34	(	(	PUNCT
cana-275	137	35	2023	2023	NUM
cana-275	137	36	)	)	PUNCT
cana-275	137	37	7	7	NUM
cana-275	137	38	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	137	39	the	the	DET
cana-275	137	40	nonlinear	nonlinear	ADJ
cana-275	137	41	system	system	NOUN
cana-275	137	42	.	.	PUNCT
cana-275	138	1	to	to	PART
cana-275	138	2	understand	understand	VERB
cana-275	138	3	the	the	DET
cana-275	138	4	complexities	complexity	NOUN
cana-275	138	5	and	and	CCONJ
cana-275	138	6	patterns	pattern	NOUN
cana-275	138	7	present	present	ADJ
cana-275	138	8	in	in	ADP
cana-275	138	9	chaotic	chaotic	ADJ
cana-275	138	10	dynamics	dynamic	NOUN
cana-275	138	11	,	,	PUNCT
cana-275	138	12	cdpdel	cdpdel	PROPN
cana-275	138	13	relies	rely	VERB
cana-275	138	14	on	on	ADP
cana-275	138	15	advanced	advanced	ADJ
cana-275	138	16	feature	feature	NOUN
cana-275	138	17	engineering	engineering	NOUN
cana-275	138	18	.	.	PUNCT
cana-275	139	1	the	the	DET
cana-275	139	2	next	next	ADJ
cana-275	139	3	step	step	NOUN
cana-275	139	4	is	be	AUX
cana-275	139	5	for	for	SCONJ
cana-275	139	6	the	the	DET
cana-275	139	7	modified	modify	VERB
cana-275	139	8	features	feature	NOUN
cana-275	139	9	to	to	PART
cana-275	139	10	be	be	AUX
cana-275	139	11	processed	process	VERB
cana-275	139	12	by	by	ADP
cana-275	139	13	deep	deep	ADJ
cana-275	139	14	neural	neural	ADJ
cana-275	139	15	networks	network	NOUN
cana-275	139	16	(	(	PUNCT
cana-275	139	17	dnns	dnn	NOUN
cana-275	139	18	)	)	PUNCT
cana-275	139	19	.	.	PUNCT
cana-275	140	1	two	two	NUM
cana-275	140	2	deep	deep	ADJ
cana-275	140	3	neural	neural	ADJ
cana-275	140	4	networks	network	NOUN
cana-275	140	5	,	,	PUNCT
cana-275	140	6	designated	designate	VERB
cana-275	140	7	as	as	ADP
cana-275	140	8	network	network	NOUN
cana-275	140	9	1	1	NUM
cana-275	140	10	&	&	CCONJ
cana-275	140	11	network	network	PROPN
cana-275	140	12	2	2	NUM
cana-275	140	13	,	,	PUNCT
cana-275	140	14	are	be	AUX
cana-275	140	15	part	part	NOUN
cana-275	140	16	of	of	ADP
cana-275	140	17	the	the	DET
cana-275	140	18	architecture	architecture	NOUN
cana-275	140	19	that	that	PRON
cana-275	140	20	branches	branch	VERB
cana-275	140	21	out	out	ADP
cana-275	140	22	in	in	ADP
cana-275	140	23	this	this	DET
cana-275	140	24	section	section	NOUN
cana-275	140	25	.	.	PUNCT
cana-275	141	1	designed	design	VERB
cana-275	141	2	to	to	PART
cana-275	141	3	represent	represent	VERB
cana-275	141	4	the	the	DET
cana-275	141	5	chaotic	chaotic	ADJ
cana-275	141	6	system	system	NOUN
cana-275	141	7	's	's	PART
cana-275	141	8	intricate	intricate	ADJ
cana-275	141	9	nonlinear	nonlinear	ADJ
cana-275	141	10	interactions	interaction	NOUN
cana-275	141	11	,	,	PUNCT
cana-275	141	12	these	these	DET
cana-275	141	13	networks	network	NOUN
cana-275	141	14	are	be	AUX
cana-275	141	15	the	the	DET
cana-275	141	16	ensemble	ensemble	NOUN
cana-275	141	17	's	's	PART
cana-275	141	18	workhorses	workhorse	NOUN
cana-275	141	19	.	.	PUNCT
cana-275	142	1	the	the	DET
cana-275	142	2	strategic	strategic	ADJ
cana-275	142	3	decision	decision	NOUN
cana-275	142	4	to	to	PART
cana-275	142	5	use	use	VERB
cana-275	142	6	numerous	numerous	ADJ
cana-275	142	7	neural	neural	ADJ
cana-275	142	8	networks	network	NOUN
cana-275	142	9	is	be	AUX
cana-275	142	10	based	base	VERB
cana-275	142	11	on	on	ADP
cana-275	142	12	ensemble	ensemble	ADJ
cana-275	142	13	learning	learning	NOUN
cana-275	142	14	concepts	concept	NOUN
cana-275	142	15	.	.	PUNCT
cana-275	143	1	in	in	ADP
cana-275	143	2	order	order	NOUN
cana-275	143	3	to	to	PART
cana-275	143	4	provide	provide	VERB
cana-275	143	5	reliable	reliable	ADJ
cana-275	143	6	predictions	prediction	NOUN
cana-275	143	7	,	,	PUNCT
cana-275	143	8	especially	especially	ADV
cana-275	143	9	when	when	SCONJ
cana-275	143	10	dealing	deal	VERB
cana-275	143	11	with	with	ADP
cana-275	143	12	complex	complex	ADJ
cana-275	143	13	and	and	CCONJ
cana-275	143	14	unpredictable	unpredictable	ADJ
cana-275	143	15	chaotic	chaotic	ADJ
cana-275	143	16	dynamics	dynamic	NOUN
cana-275	143	17	,	,	PUNCT
cana-275	143	18	cdp	cdp	NOUN
cana-275	143	19	-	-	PUNCT
cana-275	143	20	del	del	ADJ
cana-275	143	21	diversifies	diversifie	NOUN
cana-275	143	22	the	the	DET
cana-275	143	23	architectures	architecture	NOUN
cana-275	143	24	in	in	ADP
cana-275	143	25	an	an	DET
cana-275	143	26	effort	effort	NOUN
cana-275	143	27	to	to	PART
cana-275	143	28	improve	improve	VERB
cana-275	143	29	generalizability	generalizability	NOUN
cana-275	143	30	and	and	CCONJ
cana-275	143	31	reduce	reduce	VERB
cana-275	143	32	over	over	ADP
cana-275	143	33	fitting	fitting	ADJ
cana-275	143	34	.	.	PUNCT
cana-275	144	1	rather	rather	ADV
cana-275	144	2	than	than	ADP
cana-275	144	3	being	be	AUX
cana-275	144	4	carbon	carbon	NOUN
cana-275	144	5	copies	copy	NOUN
cana-275	144	6	of	of	ADP
cana-275	144	7	one	one	NUM
cana-275	144	8	another	another	DET
cana-275	144	9	,	,	PUNCT
cana-275	144	10	networks	network	NOUN
cana-275	144	11	1	1	NUM
cana-275	144	12	and	and	CCONJ
cana-275	144	13	2	2	NUM
cana-275	144	14	are	be	AUX
cana-275	144	15	independent	independent	ADJ
cana-275	144	16	entities	entity	NOUN
cana-275	144	17	with	with	ADP
cana-275	144	18	their	their	PRON
cana-275	144	19	own	own	ADJ
cana-275	144	20	biases	bias	NOUN
cana-275	144	21	and	and	CCONJ
cana-275	144	22	weights	weight	NOUN
cana-275	144	23	.	.	PUNCT
cana-275	145	1	a	a	DET
cana-275	145	2	thorough	thorough	ADJ
cana-275	145	3	comprehension	comprehension	NOUN
cana-275	145	4	of	of	ADP
cana-275	145	5	nonlinear	nonlinear	ADJ
cana-275	145	6	behaviour	behaviour	NOUN
cana-275	145	7	is	be	AUX
cana-275	145	8	guaranteed	guarantee	VERB
cana-275	145	9	by	by	ADP
cana-275	145	10	the	the	DET
cana-275	145	11	fact	fact	NOUN
cana-275	145	12	that	that	SCONJ
cana-275	145	13	their	their	PRON
cana-275	145	14	varied	varied	ADJ
cana-275	145	15	internal	internal	ADJ
cana-275	145	16	configurations	configuration	NOUN
cana-275	145	17	enable	enable	VERB
cana-275	145	18	them	they	PRON
cana-275	145	19	to	to	PART
cana-275	145	20	focus	focus	VERB
cana-275	145	21	on	on	ADP
cana-275	145	22	distinct	distinct	ADJ
cana-275	145	23	parts	part	NOUN
cana-275	145	24	of	of	ADP
cana-275	145	25	the	the	DET
cana-275	145	26	chaotic	chaotic	ADJ
cana-275	145	27	system	system	NOUN
cana-275	145	28	.	.	PUNCT
cana-275	146	1	for	for	SCONJ
cana-275	146	2	these	these	DET
cana-275	146	3	networks	network	NOUN
cana-275	146	4	to	to	PART
cana-275	146	5	understand	understand	VERB
cana-275	146	6	the	the	DET
cana-275	146	7	characteristics	characteristic	NOUN
cana-275	146	8	'	'	PART
cana-275	146	9	underlying	underlie	VERB
cana-275	146	10	patterns	pattern	NOUN
cana-275	146	11	&	&	CCONJ
cana-275	146	12	temporal	temporal	ADJ
cana-275	146	13	connections	connection	NOUN
cana-275	146	14	,	,	PUNCT
cana-275	146	15	it	it	PRON
cana-275	146	16	is	be	AUX
cana-275	146	17	trained	train	VERB
cana-275	146	18	using	use	VERB
cana-275	146	19	historical	historical	ADJ
cana-275	146	20	data	datum	NOUN
cana-275	146	21	.	.	PUNCT
cana-275	147	1	the	the	DET
cana-275	147	2	cdp	cdp	PROPN
cana-275	147	3	-	-	PUNCT
cana-275	147	4	del	del	ADJ
cana-275	147	5	architecture	architecture	NOUN
cana-275	147	6	moves	move	NOUN
cana-275	147	7	into	into	ADP
cana-275	147	8	ensemble	ensemble	ADJ
cana-275	147	9	learning	learning	NOUN
cana-275	147	10	as	as	SCONJ
cana-275	147	11	the	the	DET
cana-275	147	12	deep	deep	ADJ
cana-275	147	13	neural	neural	ADJ
cana-275	147	14	networks	network	NOUN
cana-275	147	15	adapt	adapt	VERB
cana-275	147	16	and	and	CCONJ
cana-275	147	17	learn	learn	VERB
cana-275	147	18	.	.	PUNCT
cana-275	148	1	at	at	ADP
cana-275	148	2	this	this	DET
cana-275	148	3	stage	stage	NOUN
cana-275	148	4	,	,	PUNCT
cana-275	148	5	the	the	DET
cana-275	148	6	predictions	prediction	NOUN
cana-275	148	7	from	from	ADP
cana-275	148	8	both	both	DET
cana-275	148	9	network	network	NOUN
cana-275	148	10	1	1	NUM
cana-275	148	11	&	&	CCONJ
cana-275	148	12	network	network	PROPN
cana-275	148	13	2	2	NUM
cana-275	148	14	are	be	AUX
cana-275	148	15	combined	combine	VERB
cana-275	148	16	,	,	PUNCT
cana-275	148	17	making	make	VERB
cana-275	148	18	use	use	NOUN
cana-275	148	19	of	of	ADP
cana-275	148	20	the	the	DET
cana-275	148	21	strengths	strength	NOUN
cana-275	148	22	of	of	ADP
cana-275	148	23	both	both	DET
cana-275	148	24	networks	network	NOUN
cana-275	148	25	to	to	PART
cana-275	148	26	create	create	VERB
cana-275	148	27	a	a	DET
cana-275	148	28	stronger	strong	ADJ
cana-275	148	29	and	and	CCONJ
cana-275	148	30	more	more	ADV
cana-275	148	31	accurate	accurate	ADJ
cana-275	148	32	forecast	forecast	NOUN
cana-275	148	33	.	.	PUNCT
cana-275	149	1	ensemble	ensemble	ADJ
cana-275	149	2	learning	learning	NOUN
cana-275	149	3	is	be	AUX
cana-275	149	4	an	an	DET
cana-275	149	5	effective	effective	ADJ
cana-275	149	6	method	method	NOUN
cana-275	149	7	for	for	ADP
cana-275	149	8	improving	improve	VERB
cana-275	149	9	the	the	DET
cana-275	149	10	general	general	ADJ
cana-275	149	11	precision	precision	NOUN
cana-275	149	12	and	and	CCONJ
cana-275	149	13	reliability	reliability	NOUN
cana-275	149	14	of	of	ADP
cana-275	149	15	chaotic	chaotic	ADJ
cana-275	149	16	behaviour	behaviour	NOUN
cana-275	149	17	prediction	prediction	NOUN
cana-275	149	18	by	by	ADP
cana-275	149	19	reducing	reduce	VERB
cana-275	149	20	the	the	DET
cana-275	149	21	influence	influence	NOUN
cana-275	149	22	of	of	ADP
cana-275	149	23	individual	individual	ADJ
cana-275	149	24	network	network	NOUN
cana-275	149	25	distortions	distortion	NOUN
cana-275	149	26	and	and	CCONJ
cana-275	149	27	mistakes	mistake	NOUN
cana-275	149	28	.	.	PUNCT
cana-275	150	1	the	the	DET
cana-275	150	2	prediction	prediction	NOUN
cana-275	150	3	output	output	NOUN
cana-275	150	4	,	,	PUNCT
cana-275	150	5	the	the	DET
cana-275	150	6	outcome	outcome	NOUN
cana-275	150	7	of	of	ADP
cana-275	150	8	the	the	DET
cana-275	150	9	collective	collective	ADJ
cana-275	150	10	consciousness	consciousness	NOUN
cana-275	150	11	buried	bury	VERB
cana-275	150	12	in	in	ADP
cana-275	150	13	the	the	DET
cana-275	150	14	deep	deep	ADJ
cana-275	150	15	ensemble	ensemble	ADJ
cana-275	150	16	,	,	PUNCT
cana-275	150	17	emerges	emerge	VERB
cana-275	150	18	as	as	ADP
cana-275	150	19	the	the	DET
cana-275	150	20	grand	grand	NOUN
cana-275	150	21	the	the	DET
cana-275	150	22	end	end	NOUN
cana-275	150	23	of	of	ADP
cana-275	150	24	this	this	DET
cana-275	150	25	elaborate	elaborate	ADJ
cana-275	150	26	process	process	NOUN
cana-275	150	27	.	.	PUNCT
cana-275	151	1	the	the	DET
cana-275	151	2	result	result	NOUN
cana-275	151	3	is	be	AUX
cana-275	151	4	more	more	ADJ
cana-275	151	5	than	than	ADP
cana-275	151	6	a	a	DET
cana-275	151	7	simple	simple	ADJ
cana-275	151	8	yes	yes	INTJ
cana-275	151	9	or	or	CCONJ
cana-275	151	10	no	no	DET
cana-275	151	11	prediction	prediction	NOUN
cana-275	151	12	;	;	PUNCT
cana-275	151	13	it	it	PRON
cana-275	151	14	captures	capture	VERB
cana-275	151	15	a	a	DET
cana-275	151	16	detailed	detailed	ADJ
cana-275	151	17	comprehension	comprehension	NOUN
cana-275	151	18	of	of	ADP
cana-275	151	19	the	the	DET
cana-275	151	20	unpredictable	unpredictable	ADJ
cana-275	151	21	behaviour	behaviour	NOUN
cana-275	151	22	and	and	CCONJ
cana-275	151	23	sheds	shed	VERB
cana-275	151	24	light	light	NOUN
cana-275	151	25	on	on	ADP
cana-275	151	26	the	the	DET
cana-275	151	27	intricate	intricate	ADJ
cana-275	151	28	workings	working	NOUN
cana-275	151	29	of	of	ADP
cana-275	151	30	a	a	DET
cana-275	151	31	nonlinear	nonlinear	ADJ
cana-275	151	32	system	system	NOUN
cana-275	151	33	.	.	PUNCT
cana-275	152	1	those	those	PRON
cana-275	152	2	making	make	VERB
cana-275	152	3	decisions	decision	NOUN
cana-275	152	4	in	in	ADP
cana-275	152	5	domains	domain	NOUN
cana-275	152	6	like	like	ADP
cana-275	152	7	control	control	NOUN
cana-275	152	8	systems	system	NOUN
cana-275	152	9	,	,	PUNCT
cana-275	152	10	ecology	ecology	NOUN
cana-275	152	11	,	,	PUNCT
cana-275	152	12	finance	finance	NOUN
cana-275	152	13	,	,	PUNCT
cana-275	152	14	and	and	CCONJ
cana-275	152	15	weather	weather	NOUN
cana-275	152	16	forecasting	forecasting	NOUN
cana-275	152	17	can	can	AUX
cana-275	152	18	greatly	greatly	ADV
cana-275	152	19	benefit	benefit	VERB
cana-275	152	20	from	from	ADP
cana-275	152	21	this	this	DET
cana-275	152	22	prediction	prediction	NOUN
cana-275	152	23	output	output	NOUN
cana-275	152	24	.	.	PUNCT
cana-275	153	1	a	a	DET
cana-275	153	2	comprehensive	comprehensive	ADJ
cana-275	153	3	and	and	CCONJ
cana-275	153	4	advanced	advanced	ADJ
cana-275	153	5	technique	technique	NOUN
cana-275	153	6	is	be	AUX
cana-275	153	7	exemplified	exemplify	VERB
cana-275	153	8	by	by	ADP
cana-275	153	9	the	the	DET
cana-275	153	10	comprehensive	comprehensive	ADJ
cana-275	153	11	perspective	perspective	NOUN
cana-275	153	12	of	of	ADP
cana-275	153	13	the	the	DET
cana-275	153	14	cdp	cdp	NOUN
cana-275	153	15	-	-	PUNCT
cana-275	153	16	del	del	ADJ
cana-275	153	17	technique	technique	NOUN
cana-275	153	18	in	in	ADP
cana-275	153	19	figure	figure	NOUN
cana-275	153	20	2	2	NUM
cana-275	153	21	.	.	PUNCT
cana-275	154	1	the	the	DET
cana-275	154	2	ultimate	ultimate	ADJ
cana-275	154	3	aim	aim	NOUN
cana-275	154	4	is	be	AUX
cana-275	154	5	to	to	PART
cana-275	154	6	correctly	correctly	ADV
cana-275	154	7	forecast	forecast	VERB
cana-275	154	8	unpredictable	unpredictable	ADJ
cana-275	154	9	outcomes	outcome	NOUN
cana-275	154	10	in	in	ADP
cana-275	154	11	nonlinear	nonlinear	ADJ
cana-275	154	12	systems	system	NOUN
cana-275	154	13	,	,	PUNCT
cana-275	154	14	and	and	CCONJ
cana-275	154	15	each	each	DET
cana-275	154	16	step	step	NOUN
cana-275	154	17	along	along	ADP
cana-275	154	18	the	the	DET
cana-275	154	19	way	way	NOUN
cana-275	154	20	from	from	ADP
cana-275	154	21	feature	feature	NOUN
cana-275	154	22	extraction	extraction	NOUN
cana-275	154	23	and	and	CCONJ
cana-275	154	24	transformation	transformation	NOUN
cana-275	154	25	to	to	ADP
cana-275	154	26	deep	deep	ADJ
cana-275	154	27	neural	neural	ADJ
cana-275	154	28	network	network	NOUN
cana-275	154	29	collaboration	collaboration	NOUN
cana-275	154	30	and	and	CCONJ
cana-275	154	31	ensemble	ensemble	ADJ
cana-275	154	32	learning	learning	NOUN
cana-275	154	33	contributes	contribute	VERB
cana-275	154	34	to	to	ADP
cana-275	154	35	this	this	DET
cana-275	154	36	objective	objective	NOUN
cana-275	154	37	.	.	PUNCT
cana-275	155	1	by	by	ADP
cana-275	155	2	providing	provide	VERB
cana-275	155	3	a	a	DET
cana-275	155	4	strong	strong	ADJ
cana-275	155	5	answer	answer	NOUN
cana-275	155	6	to	to	ADP
cana-275	155	7	the	the	DET
cana-275	155	8	problems	problem	NOUN
cana-275	155	9	caused	cause	VERB
cana-275	155	10	by	by	ADP
cana-275	155	11	unpredictable	unpredictable	ADJ
cana-275	155	12	dynamics	dynamic	NOUN
cana-275	155	13	in	in	ADP
cana-275	155	14	several	several	ADJ
cana-275	155	15	domains	domain	NOUN
cana-275	155	16	,	,	PUNCT
cana-275	155	17	cdp	cdp	NOUN
cana-275	155	18	-	-	ADJ
cana-275	155	19	del	del	NOUN
cana-275	155	20	demonstrates	demonstrate	VERB
cana-275	155	21	the	the	DET
cana-275	155	22	efficacy	efficacy	NOUN
cana-275	155	23	of	of	ADP
cana-275	155	24	integrating	integrate	VERB
cana-275	155	25	deep	deep	ADJ
cana-275	155	26	learning	learning	NOUN
cana-275	155	27	with	with	ADP
cana-275	155	28	collaborative	collaborative	ADJ
cana-275	155	29	methods	method	NOUN
cana-275	155	30	.	.	PUNCT
cana-275	156	1	𝑅𝑒𝑝𝑟𝑜𝑑𝑢𝑐𝑖𝑏𝑖𝑙𝑖𝑡𝑦	𝑅𝑒𝑝𝑟𝑜𝑑𝑢𝑐𝑖𝑏𝑖𝑙𝑖𝑡𝑦	PROPN
cana-275	156	2	=	=	SYM
cana-275	156	3	1	1	NUM
cana-275	156	4	𝑂	𝑂	NOUN
cana-275	156	5	∑	∑	PUNCT
cana-275	156	6	(	(	PUNCT
cana-275	156	7	1	1	NUM
cana-275	156	8	−	−	PROPN
cana-275	156	9	|𝜇𝑗−𝜇𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒|	|𝜇𝑗−𝜇𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒|	NOUN
cana-275	156	10	𝛿𝑗+𝜖	𝛿𝑗+𝜖	PROPN
cana-275	156	11	)	)	PUNCT
cana-275	156	12	𝑜	𝑜	PROPN
cana-275	156	13	𝑗=1	𝑗=1	PROPN
cana-275	156	14	.	.	PUNCT
cana-275	157	1	(	(	PUNCT
cana-275	157	2	1	1	NUM
cana-275	157	3	−	−	PROPN
cana-275	157	4	|𝜌𝑗−𝜌𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒|	|𝜌𝑗−𝜌𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒|	PROPN
cana-275	157	5	𝛿𝑗+𝜖	𝛿𝑗+𝜖	PROPN
cana-275	157	6	)	)	PUNCT
cana-275	157	7	.	.	PUNCT
cana-275	158	1	𝑙𝑜𝑔2	𝑙𝑜𝑔2	PROPN
cana-275	158	2	(	(	PUNCT
cana-275	158	3	𝛾𝑗	𝛾𝑗	ADV
cana-275	158	4	2+𝛼𝑗	2+𝛼𝑗	PROPN
cana-275	158	5	2	2	NUM
cana-275	158	6	𝛽𝑗	𝛽𝑗	NOUN
cana-275	158	7	2.𝛿𝑗	2.𝛿𝑗	NUM
cana-275	158	8	)	)	PUNCT
cana-275	158	9	(	(	PUNCT
cana-275	158	10	4	4	X
cana-275	158	11	)	)	PUNCT
cana-275	158	12	the	the	DET
cana-275	158	13	repeatability	repeatability	NOUN
cana-275	158	14	of	of	ADP
cana-275	158	15	𝑂	𝑂	PROPN
cana-275	158	16	separate	separate	ADJ
cana-275	158	17	experimental	experimental	ADJ
cana-275	158	18	runs	run	NOUN
cana-275	158	19	is	be	AUX
cana-275	158	20	measured	measure	VERB
cana-275	158	21	by	by	ADP
cana-275	158	22	reproducibility	reproducibility	NOUN
cana-275	158	23	.	.	PUNCT
cana-275	159	1	there	there	PRON
cana-275	159	2	are	be	VERB
cana-275	159	3	variables	variable	NOUN
cana-275	159	4	𝜇𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒	𝜇𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒	NOUN
cana-275	159	5	and	and	CCONJ
cana-275	159	6	𝜌𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒	𝜌𝑏𝑎𝑠𝑒𝑙𝑖𝑛𝑒	NOUN
cana-275	159	7	that	that	PRON
cana-275	159	8	reflect	reflect	VERB
cana-275	159	9	the	the	DET
cana-275	159	10	corresponding	corresponding	ADJ
cana-275	159	11	baseline	baseline	NOUN
cana-275	159	12	statistics	statistic	NOUN
cana-275	159	13	,	,	PUNCT
cana-275	159	14	and	and	CCONJ
cana-275	159	15	𝜇𝑗	𝜇𝑗	NOUN
cana-275	159	16	and	and	CCONJ
cana-275	159	17	𝜌𝑗	𝜌𝑗	ADP
cana-275	159	18	that	that	PRON
cana-275	159	19	indicate	indicate	VERB
cana-275	159	20	the	the	DET
cana-275	159	21	mean	mean	ADJ
cana-275	159	22	and	and	CCONJ
cana-275	159	23	standard	standard	ADJ
cana-275	159	24	deviation	deviation	NOUN
cana-275	159	25	of	of	ADP
cana-275	159	26	the	the	DET
cana-275	159	27	findings	finding	NOUN
cana-275	159	28	from	from	ADP
cana-275	159	29	the	the	DET
cana-275	159	30	𝑗th	𝑗th	PROPN
cana-275	159	31	run	run	NOUN
cana-275	159	32	,	,	PUNCT
cana-275	159	33	respectively	respectively	ADV
cana-275	159	34	.	.	PUNCT
cana-275	160	1	the	the	DET
cana-275	160	2	correlation	correlation	NOUN
cana-275	160	3	coefficient	coefficient	NOUN
cana-275	160	4	&	&	CCONJ
cana-275	160	5	divergence	divergence	NOUN
cana-275	160	6	from	from	ADP
cana-275	160	7	baseline	baseline	NOUN
cana-275	160	8	correlations	correlation	NOUN
cana-275	160	9	for	for	ADP
cana-275	160	10	the	the	DET
cana-275	160	11	𝑗th	𝑗th	PROPN
cana-275	160	12	run	run	NOUN
cana-275	160	13	are	be	AUX
cana-275	160	14	represented	represent	VERB
cana-275	160	15	by	by	ADP
cana-275	160	16	𝜌𝑗	𝜌𝑗	ADP
cana-275	160	17	and	and	CCONJ
cana-275	160	18	𝛿𝑗	𝛿𝑗	X
cana-275	160	19	,	,	PUNCT
cana-275	160	20	respectively	respectively	ADV
cana-275	160	21	.	.	PUNCT
cana-275	161	1	the	the	DET
cana-275	161	2	interaction	interaction	NOUN
cana-275	161	3	between	between	ADP
cana-275	161	4	noise	noise	NOUN
cana-275	161	5	(	(	PUNCT
cana-275	161	6	𝛽𝑗	𝛽𝑗	NOUN
cana-275	161	7	2	2	NUM
cana-275	161	8	)	)	PUNCT
cana-275	161	9	,	,	PUNCT
cana-275	161	10	signal	signal	NOUN
cana-275	161	11	(	(	PUNCT
cana-275	161	12	𝛾𝑗	𝛾𝑗	INTJ
cana-275	161	13	2	2	NUM
cana-275	161	14	)	)	PUNCT
cana-275	161	15	,	,	PUNCT
cana-275	161	16	with	with	ADP
cana-275	161	17	background	background	NOUN
cana-275	161	18	variance	variance	NOUN
cana-275	161	19	(	(	PUNCT
cana-275	161	20	𝛼𝑗	𝛼𝑗	PROPN
cana-275	161	21	2	2	NUM
cana-275	161	22	)	)	PUNCT
cana-275	161	23	is	be	AUX
cana-275	161	24	captured	capture	VERB
cana-275	161	25	by	by	ADP
cana-275	161	26	the	the	DET
cana-275	161	27	proportion	proportion	NOUN
cana-275	161	28	of	of	ADP
cana-275	161	29	(	(	PUNCT
cana-275	161	30	𝛾𝑗	𝛾𝑗	INTJ
cana-275	161	31	2+𝛼𝑗	2+𝛼𝑗	PROPN
cana-275	161	32	2	2	NUM
cana-275	162	1	𝛽𝑗	𝛽𝑗	NOUN
cana-275	162	2	2.𝛿𝑗	2.𝛿𝑗	NUM
cana-275	162	3	)	)	PUNCT
cana-275	162	4	.	.	PUNCT
cana-275	163	1	by	by	ADP
cana-275	163	2	taking	take	VERB
cana-275	163	3	into	into	ADP
cana-275	163	4	account	account	NOUN
cana-275	163	5	statistical	statistical	ADJ
cana-275	163	6	metrics	metric	NOUN
cana-275	163	7	and	and	CCONJ
cana-275	163	8	random	random	ADJ
cana-275	163	9	seed	seed	NOUN
cana-275	163	10	fluctuations	fluctuation	NOUN
cana-275	163	11	in	in	ADP
cana-275	163	12	experimental	experimental	ADJ
cana-275	163	13	results	result	NOUN
cana-275	163	14	,	,	PUNCT
cana-275	163	15	the	the	DET
cana-275	163	16	equation	equation	NOUN
cana-275	163	17	(	(	PUNCT
cana-275	163	18	4	4	X
cana-275	163	19	)	)	PUNCT
cana-275	163	20	offers	offer	VERB
cana-275	163	21	a	a	DET
cana-275	163	22	detailed	detailed	ADJ
cana-275	163	23	evaluation	evaluation	NOUN
cana-275	163	24	of	of	ADP
cana-275	163	25	repeatability	repeatability	NOUN
cana-275	163	26	.	.	PUNCT
cana-275	164	1	𝑦𝑜+1	𝑦𝑜+1	X
cana-275	165	1	=	=	PUNCT
cana-275	165	2	𝑏.	𝑏.	NOUN
cana-275	165	3	sin(𝑐.	sin(𝑐.	PROPN
cana-275	165	4	𝑦𝑜	𝑦𝑜	PROPN
cana-275	165	5	)	)	PUNCT
cana-275	166	1	+	+	CCONJ
cana-275	166	2	𝑑.	𝑑.	NOUN
cana-275	166	3	cos(𝑒.	cos(𝑒.	PROPN
cana-275	166	4	𝑧𝑜	𝑧𝑜	PROPN
cana-275	166	5	)	)	PUNCT
cana-275	167	1	+	+	CCONJ
cana-275	167	2	𝑓.	𝑓.	NOUN
cana-275	167	3	sin	sin	NOUN
cana-275	167	4	(	(	PUNCT
cana-275	167	5	𝑔.	𝑔.	NOUN
cana-275	167	6	𝑎𝑜	𝑎𝑜	PROPN
cana-275	167	7	)	)	PUNCT
cana-275	167	8	(	(	PUNCT
cana-275	167	9	5	5	X
cana-275	167	10	)	)	PUNCT
cana-275	167	11	communications	communication	NOUN
cana-275	167	12	on	on	ADP
cana-275	167	13	applied	apply	VERB
cana-275	167	14	nonlinear	nonlinear	ADJ
cana-275	167	15	analysis	analysis	NOUN
cana-275	167	16	issn	issn	NOUN
cana-275	167	17	:	:	PUNCT
cana-275	167	18	1074	1074	NUM
cana-275	167	19	-	-	PUNCT
cana-275	167	20	133x	133x	NUM
cana-275	167	21	vol	vol	NOUN
cana-275	167	22	30	30	NUM
cana-275	167	23	no	no	NOUN
cana-275	167	24	.	.	NOUN
cana-275	167	25	3	3	NUM
cana-275	167	26	(	(	PUNCT
cana-275	167	27	2023	2023	NUM
cana-275	167	28	)	)	PUNCT
cana-275	167	29	8	8	NUM
cana-275	167	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	167	31	the	the	DET
cana-275	167	32	augmented	augment	VERB
cana-275	167	33	equation	equation	NOUN
cana-275	167	34	(	(	PUNCT
cana-275	167	35	5	5	NUM
cana-275	167	36	)	)	PUNCT
cana-275	167	37	has	have	VERB
cana-275	167	38	several	several	ADJ
cana-275	167	39	variables	variable	NOUN
cana-275	167	40	,	,	PUNCT
cana-275	167	41	and	and	CCONJ
cana-275	167	42	each	each	DET
cana-275	167	43	one	one	NOUN
cana-275	167	44	is	be	AUX
cana-275	167	45	crucial	crucial	ADJ
cana-275	167	46	to	to	ADP
cana-275	167	47	the	the	DET
cana-275	167	48	system	system	NOUN
cana-275	167	49	's	's	PART
cana-275	167	50	development	development	NOUN
cana-275	167	51	.	.	PUNCT
cana-275	168	1	the	the	DET
cana-275	168	2	state	state	NOUN
cana-275	168	3	of	of	ADP
cana-275	168	4	the	the	DET
cana-275	168	5	variables	variable	NOUN
cana-275	168	6	𝑦	𝑦	NOUN
cana-275	168	7	,	,	PUNCT
cana-275	168	8	denoted	denote	VERB
cana-275	168	9	as	as	ADP
cana-275	168	10	𝑦𝑜+1	𝑦𝑜+1	NUM
cana-275	168	11	,	,	PUNCT
cana-275	168	12	is	be	AUX
cana-275	168	13	affected	affect	VERB
cana-275	168	14	by	by	ADP
cana-275	168	15	the	the	DET
cana-275	168	16	present	present	ADJ
cana-275	168	17	situation	situation	NOUN
cana-275	168	18	𝑦𝑜	𝑦𝑜	PROPN
cana-275	168	19	&	&	CCONJ
cana-275	168	20	the	the	DET
cana-275	168	21	extra	extra	ADJ
cana-275	168	22	terms	term	NOUN
cana-275	168	23	concerning	concern	VERB
cana-275	168	24	the	the	DET
cana-275	168	25	parameters	parameter	NOUN
cana-275	168	26	𝑧𝑜	𝑧𝑜	PRON
cana-275	168	27	and	and	CCONJ
cana-275	168	28	𝑎𝑜.	𝑎𝑜.	VERB
cana-275	168	29	the	the	DET
cana-275	168	30	complicated	complicated	ADJ
cana-275	168	31	interactions	interaction	NOUN
cana-275	168	32	between	between	ADP
cana-275	168	33	the	the	DET
cana-275	168	34	variables	variable	NOUN
cana-275	168	35	are	be	AUX
cana-275	168	36	controlled	control	VERB
cana-275	168	37	by	by	ADP
cana-275	168	38	the	the	DET
cana-275	168	39	parameters	parameter	NOUN
cana-275	168	40	(	(	PUNCT
cana-275	168	41	𝑏	𝑏	NOUN
cana-275	168	42	,	,	PUNCT
cana-275	168	43	𝑐	𝑐	PROPN
cana-275	168	44	,	,	PUNCT
cana-275	168	45	𝑑	𝑑	NOUN
cana-275	168	46	,	,	PUNCT
cana-275	168	47	𝑒	𝑒	ADP
cana-275	168	48	,	,	PUNCT
cana-275	168	49	𝑓,and	𝑓,and	X
cana-275	168	50	𝑔	𝑔	PROPN
cana-275	168	51	)	)	PUNCT
cana-275	168	52	,	,	PUNCT
cana-275	168	53	which	which	PRON
cana-275	168	54	require	require	VERB
cana-275	168	55	the	the	DET
cana-275	168	56	magnitudes	magnitude	NOUN
cana-275	168	57	and	and	CCONJ
cana-275	168	58	frequency	frequency	NOUN
cana-275	168	59	of	of	ADP
cana-275	168	60	the	the	DET
cana-275	168	61	sine	sine	NOUN
cana-275	168	62	and	and	CCONJ
cana-275	168	63	cosine	cosine	NOUN
cana-275	168	64	functions	function	NOUN
cana-275	168	65	.	.	PUNCT
cana-275	169	1	the	the	DET
cana-275	169	2	amount	amount	NOUN
cana-275	169	3	of	of	ADP
cana-275	169	4	amplitude	amplitude	NOUN
cana-275	169	5	of	of	ADP
cana-275	169	6	the	the	DET
cana-275	169	7	sine	sine	ADJ
cana-275	169	8	function	function	NOUN
cana-275	169	9	related	relate	VERB
cana-275	169	10	to	to	ADP
cana-275	169	11	the	the	DET
cana-275	169	12	current	current	ADJ
cana-275	169	13	state	state	NOUN
cana-275	169	14	of	of	ADP
cana-275	169	15	𝑦	𝑦	NOUN
cana-275	169	16	is	be	AUX
cana-275	169	17	controlled	control	VERB
cana-275	169	18	by	by	ADP
cana-275	169	19	𝑏	𝑏	PROPN
cana-275	169	20	,	,	PUNCT
cana-275	169	21	the	the	DET
cana-275	169	22	frequency	frequency	NOUN
cana-275	169	23	at	at	ADP
cana-275	169	24	which	which	PRON
cana-275	169	25	it	it	PRON
cana-275	169	26	occurs	occur	VERB
cana-275	169	27	of	of	ADP
cana-275	169	28	the	the	DET
cana-275	169	29	sine	sine	ADJ
cana-275	169	30	function	function	NOUN
cana-275	169	31	is	be	AUX
cana-275	169	32	determined	determine	VERB
cana-275	169	33	by	by	ADP
cana-275	169	34	𝑐	𝑐	PROPN
cana-275	169	35	in	in	ADP
cana-275	169	36	relation	relation	NOUN
cana-275	169	37	to	to	ADP
cana-275	169	38	(	(	PUNCT
cana-275	169	39	𝑐.	𝑐.	NOUN
cana-275	169	40	𝑦𝑜	𝑦𝑜	NOUN
cana-275	169	41	)	)	PUNCT
cana-275	169	42	,	,	PUNCT
cana-275	169	43	the	the	DET
cana-275	169	44	cosine	cosine	NOUN
cana-275	169	45	function	function	NOUN
cana-275	169	46	's	's	PART
cana-275	169	47	contribution	contribution	NOUN
cana-275	169	48	is	be	AUX
cana-275	169	49	governed	govern	VERB
cana-275	169	50	by	by	ADP
cana-275	169	51	𝑑	𝑑	PRON
cana-275	169	52	and	and	CCONJ
cana-275	169	53	𝑒	𝑒	PROPN
cana-275	169	54	in	in	ADP
cana-275	169	55	relation	relation	NOUN
cana-275	169	56	to	to	ADP
cana-275	169	57	the	the	DET
cana-275	169	58	state	state	NOUN
cana-275	169	59	of	of	ADP
cana-275	169	60	𝑧𝑜	𝑧𝑜	PRON
cana-275	169	61	,	,	PUNCT
cana-275	169	62	and	and	CCONJ
cana-275	169	63	the	the	DET
cana-275	169	64	frequency	frequency	NOUN
cana-275	169	65	and	and	CCONJ
cana-275	169	66	amplitude	amplitude	NOUN
cana-275	169	67	of	of	ADP
cana-275	169	68	the	the	DET
cana-275	169	69	sine	sine	ADJ
cana-275	169	70	function	function	NOUN
cana-275	169	71	related	relate	VERB
cana-275	169	72	to	to	ADP
cana-275	169	73	the	the	DET
cana-275	169	74	state	state	NOUN
cana-275	169	75	of	of	ADP
cana-275	169	76	𝑎𝑜	𝑎𝑜	PROPN
cana-275	169	77	are	be	AUX
cana-275	169	78	controlled	control	VERB
cana-275	169	79	by	by	ADP
cana-275	169	80	𝑓	𝑓	PRON
cana-275	169	81	and	and	CCONJ
cana-275	169	82	𝑔.	𝑔.	VERB
cana-275	169	83	the	the	DET
cana-275	169	84	complex	complex	ADJ
cana-275	169	85	and	and	CCONJ
cana-275	169	86	chaotic	chaotic	ADJ
cana-275	169	87	dynamics	dynamic	NOUN
cana-275	169	88	of	of	ADP
cana-275	169	89	real	real	ADJ
cana-275	169	90	-	-	PUNCT
cana-275	169	91	world	world	NOUN
cana-275	169	92	systems	system	NOUN
cana-275	169	93	are	be	AUX
cana-275	169	94	mirrored	mirror	VERB
cana-275	169	95	by	by	ADP
cana-275	169	96	this	this	DET
cana-275	169	97	complex	complex	ADJ
cana-275	169	98	collection	collection	NOUN
cana-275	169	99	of	of	ADP
cana-275	169	100	parameters	parameter	NOUN
cana-275	169	101	and	and	CCONJ
cana-275	169	102	variables	variable	NOUN
cana-275	169	103	.	.	PUNCT
cana-275	170	1	𝑧𝑜+1	𝑧𝑜+1	NUM
cana-275	170	2	=	=	SYM
cana-275	170	3	𝛽.	𝛽.	NOUN
cana-275	170	4	𝑧𝑜	𝑧𝑜	PRON
cana-275	171	1	+	+	CCONJ
cana-275	171	2	𝛾.	𝛾.	PROPN
cana-275	171	3	sin(𝛼.	sin(𝛼.	PROPN
cana-275	171	4	𝑦𝑜	𝑦𝑜	PROPN
cana-275	171	5	)	)	PUNCT
cana-275	172	1	+	+	CCONJ
cana-275	172	2	𝛿.	𝛿.	ADJ
cana-275	173	1	cos(𝜖.	cos(𝜖.	PROPN
cana-275	173	2	𝑧𝑜	𝑧𝑜	PROPN
cana-275	173	3	)	)	PUNCT
cana-275	174	1	+	+	CCONJ
cana-275	174	2	𝜗.	𝜗.	PROPN
cana-275	174	3	sin(𝜔.	sin(𝜔.	PROPN
cana-275	174	4	𝑎𝑜	𝑎𝑜	PROPN
cana-275	174	5	)	)	PUNCT
cana-275	174	6	(	(	PUNCT
cana-275	174	7	6	6	NUM
cana-275	174	8	)	)	PUNCT
cana-275	174	9	at	at	ADP
cana-275	174	10	separate	separate	ADJ
cana-275	174	11	time	time	NOUN
cana-275	174	12	steps	step	NOUN
cana-275	174	13	𝑜	𝑜	NOUN
cana-275	174	14	,	,	PUNCT
cana-275	174	15	the	the	DET
cana-275	174	16	variable	variable	NOUN
cana-275	174	17	𝑧	𝑧	VERB
cana-275	174	18	in	in	ADP
cana-275	174	19	the	the	DET
cana-275	174	20	equation	equation	NOUN
cana-275	174	21	(	(	PUNCT
cana-275	174	22	6	6	NUM
cana-275	174	23	)	)	PUNCT
cana-275	174	24	for	for	ADP
cana-275	174	25	differential	differential	ADJ
cana-275	174	26	equations	equation	NOUN
cana-275	174	27	signifies	signify	VERB
cana-275	174	28	the	the	DET
cana-275	174	29	changing	change	VERB
cana-275	174	30	situation	situation	NOUN
cana-275	174	31	in	in	ADP
cana-275	174	32	a	a	DET
cana-275	174	33	dynamic	dynamic	ADJ
cana-275	174	34	system	system	NOUN
cana-275	174	35	.	.	PUNCT
cana-275	175	1	the	the	DET
cana-275	175	2	weight	weight	NOUN
cana-275	175	3	of	of	ADP
cana-275	175	4	the	the	DET
cana-275	175	5	prior	prior	ADJ
cana-275	175	6	state	state	NOUN
cana-275	175	7	in	in	ADP
cana-275	175	8	the	the	DET
cana-275	175	9	next	next	ADJ
cana-275	175	10	repetition	repetition	NOUN
cana-275	175	11	is	be	AUX
cana-275	175	12	determined	determine	VERB
cana-275	175	13	by	by	ADP
cana-275	175	14	𝛽	𝛽	NOUN
cana-275	175	15	,	,	PUNCT
cana-275	175	16	which	which	PRON
cana-275	175	17	determines	determine	VERB
cana-275	175	18	the	the	DET
cana-275	175	19	self	self	NOUN
cana-275	175	20	-	-	PUNCT
cana-275	175	21	feedback	feedback	NOUN
cana-275	175	22	or	or	CCONJ
cana-275	175	23	an	an	DET
cana-275	175	24	autoregressive	autoregressive	ADJ
cana-275	175	25	component	component	NOUN
cana-275	175	26	.	.	PUNCT
cana-275	176	1	a	a	DET
cana-275	176	2	nonlinear	nonlinear	ADJ
cana-275	176	3	behaviour	behaviour	NOUN
cana-275	176	4	of	of	ADP
cana-275	176	5	the	the	DET
cana-275	176	6	system	system	NOUN
cana-275	176	7	is	be	AUX
cana-275	176	8	contributed	contribute	VERB
cana-275	176	9	to	to	ADP
cana-275	176	10	by	by	ADP
cana-275	176	11	𝛾.	𝛾.	PROPN
cana-275	176	12	sin(𝛼.	sin(𝛼.	PROPN
cana-275	176	13	𝑦𝑜	𝑦𝑜	NOUN
cana-275	176	14	)	)	PUNCT
cana-275	176	15	,	,	PUNCT
cana-275	176	16	which	which	PRON
cana-275	176	17	adds	add	VERB
cana-275	176	18	a	a	DET
cana-275	176	19	sinusoidal	sinusoidal	ADJ
cana-275	176	20	function	function	NOUN
cana-275	176	21	of	of	ADP
cana-275	176	22	frequencies	frequency	NOUN
cana-275	176	23	𝛼	𝛼	PRON
cana-275	176	24	modified	modify	VERB
cana-275	176	25	by	by	ADP
cana-275	176	26	𝑦.	𝑦.	PROPN
cana-275	176	27	a	a	DET
cana-275	176	28	cosine	cosine	NOUN
cana-275	176	29	function	function	NOUN
cana-275	176	30	having	have	VERB
cana-275	176	31	frequency	frequency	NOUN
cana-275	176	32	𝜖	𝜖	X
cana-275	176	33	modified	modify	VERB
cana-275	176	34	by	by	ADP
cana-275	176	35	the	the	DET
cana-275	176	36	current	current	ADJ
cana-275	176	37	state	state	NOUN
cana-275	176	38	𝑧	𝑧	PROPN
cana-275	176	39	is	be	AUX
cana-275	176	40	introduced	introduce	VERB
cana-275	176	41	by	by	ADP
cana-275	176	42	𝛿.	𝛿.	ADJ
cana-275	176	43	cos(𝜖.	cos(𝜖.	PROPN
cana-275	176	44	𝑧𝑜	𝑧𝑜	PROPN
cana-275	176	45	)	)	PUNCT
cana-275	176	46	,	,	PUNCT
cana-275	176	47	providing	provide	VERB
cana-275	176	48	another	another	DET
cana-275	176	49	level	level	NOUN
cana-275	176	50	of	of	ADP
cana-275	176	51	complexity	complexity	NOUN
cana-275	176	52	,	,	PUNCT
cana-275	176	53	in	in	ADP
cana-275	176	54	a	a	DET
cana-275	176	55	comparable	comparable	ADJ
cana-275	176	56	manner	manner	NOUN
cana-275	176	57	.	.	PUNCT
cana-275	177	1	the	the	DET
cana-275	177	2	third	third	ADJ
cana-275	177	3	variable	variable	NOUN
cana-275	177	4	𝑎	𝑎	DET
cana-275	177	5	modulates	modulate	NOUN
cana-275	177	6	the	the	DET
cana-275	177	7	sinusoidal	sinusoidal	ADJ
cana-275	177	8	function	function	NOUN
cana-275	177	9	of	of	ADP
cana-275	177	10	frequency	frequency	NOUN
cana-275	177	11	𝜔	𝜔	NOUN
cana-275	177	12	,	,	PUNCT
cana-275	177	13	which	which	PRON
cana-275	177	14	is	be	AUX
cana-275	177	15	introduced	introduce	VERB
cana-275	177	16	by	by	ADP
cana-275	177	17	𝜗.	𝜗.	PROPN
cana-275	177	18	sin(𝜔.	sin(𝜔.	PROPN
cana-275	177	19	𝑎𝑜	𝑎𝑜	PROPN
cana-275	177	20	)	)	PUNCT
cana-275	177	21	.	.	PUNCT
cana-275	178	1	the	the	DET
cana-275	178	2	complex	complex	ADJ
cana-275	178	3	and	and	CCONJ
cana-275	178	4	chaotic	chaotic	ADJ
cana-275	178	5	character	character	NOUN
cana-275	178	6	of	of	ADP
cana-275	178	7	the	the	DET
cana-275	178	8	system	system	NOUN
cana-275	178	9	is	be	AUX
cana-275	178	10	enhanced	enhance	VERB
cana-275	178	11	by	by	ADP
cana-275	178	12	the	the	DET
cana-275	178	13	combined	combine	VERB
cana-275	178	14	effects	effect	NOUN
cana-275	178	15	of	of	ADP
cana-275	178	16	the	the	DET
cana-275	178	17	parameters	parameter	NOUN
cana-275	178	18	,	,	PUNCT
cana-275	178	19	(	(	PUNCT
cana-275	178	20	𝛽	𝛽	NOUN
cana-275	178	21	,	,	PUNCT
cana-275	178	22	𝛾	𝛾	PROPN
cana-275	178	23	,	,	PUNCT
cana-275	178	24	𝛿	𝛿	ADJ
cana-275	178	25	,	,	PUNCT
cana-275	178	26	𝜖	𝜖	PROPN
cana-275	178	27	,	,	PUNCT
cana-275	178	28	𝜗	𝜗	NOUN
cana-275	178	29	and	and	CCONJ
cana-275	178	30	𝜔	𝜔	VERB
cana-275	178	31	)	)	PUNCT
cana-275	178	32	on	on	ADP
cana-275	178	33	the	the	DET
cana-275	178	34	amplitudes	amplitude	NOUN
cana-275	178	35	and	and	CCONJ
cana-275	178	36	frequencies	frequency	NOUN
cana-275	178	37	of	of	ADP
cana-275	178	38	these	these	DET
cana-275	178	39	additional	additional	ADJ
cana-275	178	40	components	component	NOUN
cana-275	178	41	.	.	PUNCT
cana-275	179	1	a	a	DET
cana-275	179	2	more	more	ADV
cana-275	179	3	accurate	accurate	ADJ
cana-275	179	4	depiction	depiction	NOUN
cana-275	179	5	of	of	ADP
cana-275	179	6	chaotic	chaotic	ADJ
cana-275	179	7	actions	action	NOUN
cana-275	179	8	in	in	ADP
cana-275	179	9	dynamic	dynamic	ADJ
cana-275	179	10	systems	system	NOUN
cana-275	179	11	is	be	AUX
cana-275	179	12	achieved	achieve	VERB
cana-275	179	13	by	by	ADP
cana-275	179	14	increasing	increase	VERB
cana-275	179	15	the	the	DET
cana-275	179	16	system	system	NOUN
cana-275	179	17	's	's	PART
cana-275	179	18	complexity	complexity	NOUN
cana-275	179	19	by	by	ADP
cana-275	179	20	the	the	DET
cana-275	179	21	introduction	introduction	NOUN
cana-275	179	22	of	of	ADP
cana-275	179	23	several	several	ADJ
cana-275	179	24	cosine	cosine	NOUN
cana-275	179	25	and	and	CCONJ
cana-275	179	26	sine	sine	ADJ
cana-275	179	27	terms	term	NOUN
cana-275	179	28	with	with	ADP
cana-275	179	29	varied	varied	ADJ
cana-275	179	30	frequencies	frequency	NOUN
cana-275	179	31	.	.	PUNCT
cana-275	180	1	figure	figure	VERB
cana-275	180	2	3	3	NUM
cana-275	180	3	:	:	PUNCT
cana-275	180	4	temporally	temporally	ADV
cana-275	180	5	dependent	dependent	ADJ
cana-275	180	6	improved	improved	ADJ
cana-275	180	7	cdp	cdp	NOUN
cana-275	180	8	-	-	PUNCT
cana-275	180	9	del	del	ADJ
cana-275	180	10	components	component	NOUN
cana-275	180	11	a	a	DET
cana-275	180	12	complete	complete	ADJ
cana-275	180	13	and	and	CCONJ
cana-275	180	14	advanced	advanced	ADJ
cana-275	180	15	method	method	NOUN
cana-275	180	16	for	for	ADP
cana-275	180	17	predicting	predict	VERB
cana-275	180	18	chaotic	chaotic	ADJ
cana-275	180	19	behaviour	behaviour	NOUN
cana-275	180	20	in	in	ADP
cana-275	180	21	nonlinear	nonlinear	ADJ
cana-275	180	22	systems	system	NOUN
cana-275	180	23	is	be	AUX
cana-275	180	24	shown	show	VERB
cana-275	180	25	in	in	ADP
cana-275	180	26	figure	figure	NOUN
cana-275	180	27	3	3	NUM
cana-275	180	28	,	,	PUNCT
cana-275	180	29	the	the	DET
cana-275	180	30	improved	improve	VERB
cana-275	180	31	schematic	schematic	ADJ
cana-275	180	32	representation	representation	NOUN
cana-275	180	33	of	of	ADP
cana-275	180	34	the	the	DET
cana-275	180	35	chaotic	chaotic	ADJ
cana-275	180	36	dynamics	dynamic	NOUN
cana-275	180	37	prediction	prediction	NOUN
cana-275	180	38	through	through	ADP
cana-275	180	39	deep	deep	ADJ
cana-275	180	40	ensemble	ensemble	ADJ
cana-275	180	41	learning	learning	NOUN
cana-275	180	42	(	(	PUNCT
cana-275	180	43	cdp	cdp	NOUN
cana-275	180	44	-	-	PUNCT
cana-275	180	45	del	del	NOUN
cana-275	180	46	)	)	PUNCT
cana-275	180	47	including	include	VERB
cana-275	180	48	temporal	temporal	ADJ
cana-275	180	49	dependencies	dependency	NOUN
cana-275	180	50	.	.	PUNCT
cana-275	181	1	this	this	DET
cana-275	181	2	improved	improve	VERB
cana-275	181	3	model	model	NOUN
cana-275	181	4	introduces	introduce	VERB
cana-275	181	5	a	a	DET
cana-275	181	6	sophisticated	sophisticated	ADJ
cana-275	181	7	integration	integration	NOUN
cana-275	181	8	of	of	ADP
cana-275	181	9	time	time	NOUN
cana-275	181	10	dependencies	dependency	NOUN
cana-275	181	11	into	into	ADP
cana-275	181	12	prediction	prediction	NOUN
cana-275	181	13	,	,	PUNCT
cana-275	181	14	beyond	beyond	ADP
cana-275	181	15	the	the	DET
cana-275	181	16	conventional	conventional	ADJ
cana-275	181	17	limits	limit	NOUN
cana-275	181	18	of	of	ADP
cana-275	181	19	communications	communication	NOUN
cana-275	181	20	on	on	ADP
cana-275	181	21	applied	apply	VERB
cana-275	181	22	nonlinear	nonlinear	ADJ
cana-275	181	23	analysis	analysis	NOUN
cana-275	181	24	issn	issn	NOUN
cana-275	181	25	:	:	PUNCT
cana-275	181	26	1074	1074	NUM
cana-275	181	27	-	-	PUNCT
cana-275	181	28	133x	133x	NUM
cana-275	181	29	vol	vol	NOUN
cana-275	181	30	30	30	NUM
cana-275	181	31	no	no	NOUN
cana-275	181	32	.	.	NOUN
cana-275	181	33	3	3	NUM
cana-275	181	34	(	(	PUNCT
cana-275	181	35	2023	2023	NUM
cana-275	181	36	)	)	PUNCT
cana-275	181	37	9	9	NUM
cana-275	181	38	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-275	181	39	feature	feature	NOUN
cana-275	181	40	engineering	engineering	NOUN
cana-275	181	41	&	&	CCONJ
cana-275	181	42	ensemble	ensemble	ADJ
cana-275	181	43	learning	learning	NOUN
cana-275	181	44	.	.	PUNCT
cana-275	182	1	the	the	DET
cana-275	182	2	understanding	understanding	NOUN
cana-275	182	3	that	that	SCONJ
cana-275	182	4	chaotic	chaotic	ADJ
cana-275	182	5	systems	system	NOUN
cana-275	182	6	frequently	frequently	ADV
cana-275	182	7	display	display	VERB
cana-275	182	8	complex	complex	ADJ
cana-275	182	9	temporal	temporal	ADJ
cana-275	182	10	patterns	pattern	NOUN
cana-275	182	11	and	and	CCONJ
cana-275	182	12	relationships	relationship	NOUN
cana-275	182	13	is	be	AUX
cana-275	182	14	fundamental	fundamental	ADJ
cana-275	182	15	to	to	ADP
cana-275	182	16	this	this	DET
cana-275	182	17	improvement	improvement	NOUN
cana-275	182	18	.	.	PUNCT
cana-275	183	1	the	the	DET
cana-275	183	2	cdp	cdp	PROPN
cana-275	183	3	-	-	PUNCT
cana-275	183	4	del	del	ADJ
cana-275	183	5	method	method	NOUN
cana-275	183	6	solves	solve	VERB
cana-275	183	7	this	this	PRON
cana-275	183	8	by	by	ADP
cana-275	183	9	including	include	VERB
cana-275	183	10	temporal	temporal	ADJ
cana-275	183	11	dependencies	dependency	NOUN
cana-275	183	12	into	into	ADP
cana-275	183	13	its	its	PRON
cana-275	183	14	feature	feature	NOUN
cana-275	183	15	engineering	engineering	NOUN
cana-275	183	16	from	from	ADP
cana-275	183	17	the	the	DET
cana-275	183	18	ground	ground	NOUN
cana-275	183	19	up	up	ADP
cana-275	183	20	using	use	VERB
cana-275	183	21	the	the	DET
cana-275	183	22	specific	specific	ADJ
cana-275	183	23	temporal	temporal	ADJ
cana-275	183	24	dependencies	dependency	NOUN
cana-275	183	25	block	block	NOUN
cana-275	183	26	.	.	PUNCT
cana-275	184	1	realizing	realize	VERB
cana-275	184	2	that	that	SCONJ
cana-275	184	3	deciphering	decipher	VERB
cana-275	184	4	a	a	DET
cana-275	184	5	system	system	NOUN
cana-275	184	6	's	's	PART
cana-275	184	7	chaotic	chaotic	ADJ
cana-275	184	8	dynamics	dynamic	NOUN
cana-275	184	9	in	in	ADP
cana-275	184	10	the	the	DET
cana-275	184	11	future	future	NOUN
cana-275	184	12	requires	require	VERB
cana-275	184	13	knowledge	knowledge	NOUN
cana-275	184	14	of	of	ADP
cana-275	184	15	its	its	PRON
cana-275	184	16	previous	previous	ADJ
cana-275	184	17	behaviour	behaviour	NOUN
cana-275	184	18	,	,	PUNCT
cana-275	184	19	this	this	DET
cana-275	184	20	block	block	NOUN
cana-275	184	21	shows	show	VERB
cana-275	184	22	a	a	DET
cana-275	184	23	more	more	ADV
cana-275	184	24	thorough	thorough	ADJ
cana-275	184	25	and	and	CCONJ
cana-275	184	26	explicit	explicit	ADJ
cana-275	184	27	comprehension	comprehension	NOUN
cana-275	184	28	of	of	ADP
cana-275	184	29	time	time	NOUN
cana-275	184	30	-	-	PUNCT
cana-275	184	31	related	relate	VERB
cana-275	184	32	complexities	complexity	NOUN
cana-275	184	33	.	.	PUNCT
cana-275	185	1	figure	figure	VERB
cana-275	185	2	3	3	NUM
cana-275	185	3	showcases	showcase	VERB
cana-275	185	4	the	the	DET
cana-275	185	5	innovation	innovation	NOUN
cana-275	185	6	with	with	ADP
cana-275	185	7	the	the	DET
cana-275	185	8	addition	addition	NOUN
cana-275	185	9	of	of	ADP
cana-275	185	10	the	the	DET
cana-275	185	11	temporal	temporal	ADJ
cana-275	185	12	synthesis	synthesis	NOUN
cana-275	185	13	and	and	CCONJ
cana-275	185	14	adaptation	adaptation	NOUN
cana-275	185	15	layer	layer	NOUN
cana-275	185	16	.	.	PUNCT
cana-275	186	1	this	this	DET
cana-275	186	2	layer	layer	NOUN
cana-275	186	3	is	be	AUX
cana-275	186	4	essential	essential	ADJ
cana-275	186	5	because	because	SCONJ
cana-275	186	6	it	it	PRON
cana-275	186	7	connects	connect	VERB
cana-275	186	8	the	the	DET
cana-275	186	9	deep	deep	ADJ
cana-275	186	10	neural	neural	ADJ
cana-275	186	11	networks	network	NOUN
cana-275	186	12	that	that	PRON
cana-275	186	13	follow	follow	VERB
cana-275	186	14	to	to	ADP
cana-275	186	15	the	the	DET
cana-275	186	16	data	datum	NOUN
cana-275	186	17	's	's	PART
cana-275	186	18	imbedded	imbedded	ADJ
cana-275	186	19	historical	historical	ADJ
cana-275	186	20	context	context	NOUN
cana-275	186	21	.	.	PUNCT
cana-275	187	1	adaptively	adaptively	ADV
cana-275	187	2	incorporating	incorporate	VERB
cana-275	187	3	temporal	temporal	ADJ
cana-275	187	4	information	information	NOUN
cana-275	187	5	retrieved	retrieve	VERB
cana-275	187	6	using	use	VERB
cana-275	187	7	historical	historical	ADJ
cana-275	187	8	data	datum	NOUN
cana-275	187	9	as	as	ADV
cana-275	187	10	well	well	ADV
cana-275	187	11	as	as	ADP
cana-275	187	12	time	time	NOUN
cana-275	187	13	series	series	NOUN
cana-275	187	14	analysis	analysis	NOUN
cana-275	187	15	methods	method	NOUN
cana-275	187	16	into	into	ADP
cana-275	187	17	the	the	DET
cana-275	187	18	next	next	ADJ
cana-275	187	19	stages	stage	NOUN
cana-275	187	20	of	of	ADP
cana-275	187	21	the	the	DET
cana-275	187	22	model	model	NOUN
cana-275	187	23	is	be	AUX
cana-275	187	24	its	its	PRON
cana-275	187	25	intended	intend	VERB
cana-275	187	26	usage	usage	NOUN
cana-275	187	27	.	.	PUNCT
cana-275	188	1	this	this	DET
cana-275	188	2	comprehensive	comprehensive	ADJ
cana-275	188	3	adjustment	adjustment	NOUN
cana-275	188	4	makes	make	VERB
cana-275	188	5	sure	sure	ADJ
cana-275	188	6	that	that	SCONJ
cana-275	188	7	the	the	DET
cana-275	188	8	temporal	temporal	ADJ
cana-275	188	9	connections	connection	NOUN
cana-275	188	10	are	be	AUX
cana-275	188	11	n't	not	PART
cana-275	188	12	just	just	ADV
cana-275	188	13	recognized	recognize	VERB
cana-275	188	14	,	,	PUNCT
cana-275	188	15	but	but	CCONJ
cana-275	188	16	used	use	VERB
cana-275	188	17	to	to	PART
cana-275	188	18	improve	improve	VERB
cana-275	188	19	the	the	DET
cana-275	188	20	ensemble	ensemble	NOUN
cana-275	188	21	's	's	PART
cana-275	188	22	predictive	predictive	ADJ
cana-275	188	23	power	power	NOUN
cana-275	188	24	.	.	PUNCT
cana-275	189	1	network	network	NOUN
cana-275	189	2	3	3	NUM
cana-275	189	3	&	&	CCONJ
cana-275	189	4	network	network	PROPN
cana-275	189	5	4	4	NUM
cana-275	189	6	are	be	AUX
cana-275	189	7	two	two	NUM
cana-275	189	8	more	more	ADV
cana-275	189	9	deep	deep	ADJ
cana-275	189	10	neural	neural	ADJ
cana-275	189	11	networks	network	NOUN
cana-275	189	12	added	add	VERB
cana-275	189	13	to	to	ADP
cana-275	189	14	the	the	DET
cana-275	189	15	ensemble	ensemble	ADJ
cana-275	189	16	in	in	ADP
cana-275	189	17	figure	figure	NOUN
cana-275	189	18	3	3	NUM
cana-275	189	19	.	.	PUNCT
cana-275	190	1	the	the	DET
cana-275	190	2	temporal	temporal	ADJ
cana-275	190	3	fluctuations	fluctuation	NOUN
cana-275	190	4	of	of	ADP
cana-275	190	5	the	the	DET
cana-275	190	6	chaotic	chaotic	ADJ
cana-275	190	7	structure	structure	NOUN
cana-275	190	8	may	may	AUX
cana-275	190	9	be	be	AUX
cana-275	190	10	handled	handle	VERB
cana-275	190	11	by	by	ADP
cana-275	190	12	these	these	DET
cana-275	190	13	networks	network	NOUN
cana-275	190	14	because	because	SCONJ
cana-275	190	15	of	of	ADP
cana-275	190	16	their	their	PRON
cana-275	190	17	strategic	strategic	ADJ
cana-275	190	18	positioning	positioning	NOUN
cana-275	190	19	.	.	PUNCT
cana-275	191	1	incorporating	incorporate	VERB
cana-275	191	2	the	the	DET
cana-275	191	3	temporal	temporal	ADJ
cana-275	191	4	fusion	fusion	NOUN
cana-275	191	5	and	and	CCONJ
cana-275	191	6	adaptation	adaptation	NOUN
cana-275	191	7	layer	layer	NOUN
cana-275	191	8	into	into	ADP
cana-275	191	9	these	these	DET
cana-275	191	10	networks	network	NOUN
cana-275	191	11	is	be	AUX
cana-275	191	12	a	a	DET
cana-275	191	13	calculated	calculated	ADJ
cana-275	191	14	move	move	NOUN
cana-275	191	15	to	to	PART
cana-275	191	16	provide	provide	VERB
cana-275	191	17	them	they	PRON
cana-275	191	18	access	access	NOUN
cana-275	191	19	to	to	ADP
cana-275	191	20	knowledge	knowledge	NOUN
cana-275	191	21	gleaned	glean	VERB
cana-275	191	22	from	from	ADP
cana-275	191	23	past	past	ADJ
cana-275	191	24	data	datum	NOUN
cana-275	191	25	and	and	CCONJ
cana-275	191	26	modern	modern	ADJ
cana-275	191	27	time	time	NOUN
cana-275	191	28	series	series	PROPN
cana-275	191	29	analysis	analysis	NOUN
cana-275	191	30	methods	method	NOUN
cana-275	191	31	.	.	PUNCT
cana-275	192	1	therefore	therefore	ADV
cana-275	192	2	,	,	PUNCT
cana-275	192	3	network	network	NOUN
cana-275	192	4	3	3	NUM
cana-275	192	5	&	&	CCONJ
cana-275	192	6	network	network	PROPN
cana-275	192	7	4	4	NUM
cana-275	192	8	is	be	AUX
cana-275	192	9	more	more	ADJ
cana-275	192	10	than	than	ADP
cana-275	192	11	just	just	ADV
cana-275	192	12	regular	regular	ADJ
cana-275	192	13	neural	neural	ADJ
cana-275	192	14	networks	network	NOUN
cana-275	192	15	;	;	PUNCT
cana-275	192	16	it	it	PRON
cana-275	192	17	has	have	VERB
cana-275	192	18	a	a	DET
cana-275	192	19	sense	sense	NOUN
cana-275	192	20	of	of	ADP
cana-275	192	21	time	time	NOUN
cana-275	192	22	that	that	PRON
cana-275	192	23	allows	allow	VERB
cana-275	192	24	them	they	PRON
cana-275	192	25	to	to	PART
cana-275	192	26	grasp	grasp	VERB
cana-275	192	27	how	how	SCONJ
cana-275	192	28	the	the	DET
cana-275	192	29	chaotic	chaotic	ADJ
cana-275	192	30	system	system	NOUN
cana-275	192	31	is	be	AUX
cana-275	192	32	changing	change	VERB
cana-275	192	33	and	and	CCONJ
cana-275	192	34	identify	identify	VERB
cana-275	192	35	patterns	pattern	NOUN
cana-275	192	36	in	in	ADP
cana-275	192	37	it	it	PRON
cana-275	192	38	.	.	PUNCT
cana-275	193	1	recognizing	recognize	VERB
cana-275	193	2	the	the	DET
cana-275	193	3	abundance	abundance	NOUN
cana-275	193	4	of	of	ADP
cana-275	193	5	information	information	NOUN
cana-275	193	6	included	include	VERB
cana-275	193	7	in	in	ADP
cana-275	193	8	the	the	DET
cana-275	193	9	system	system	NOUN
cana-275	193	10	's	's	PART
cana-275	193	11	historical	historical	ADJ
cana-275	193	12	behaviour	behaviour	NOUN
cana-275	193	13	,	,	PUNCT
cana-275	193	14	the	the	DET
cana-275	193	15	historical	historical	ADJ
cana-275	193	16	data	datum	NOUN
cana-275	193	17	and	and	CCONJ
cana-275	193	18	time	time	NOUN
cana-275	193	19	series	series	PROPN
cana-275	193	20	analysis	analysis	NOUN
cana-275	193	21	approaches	approach	NOUN
cana-275	193	22	component	component	NOUN
cana-275	193	23	was	be	AUX
cana-275	193	24	included	include	VERB
cana-275	193	25	.	.	PUNCT
cana-275	194	1	a	a	DET
cana-275	194	2	deeper	deep	ADJ
cana-275	194	3	understanding	understanding	NOUN
cana-275	194	4	of	of	ADP
cana-275	194	5	the	the	DET
cana-275	194	6	temporal	temporal	ADJ
cana-275	194	7	relationships	relationship	NOUN
cana-275	194	8	may	may	AUX
cana-275	194	9	be	be	AUX
cana-275	194	10	achieved	achieve	VERB
cana-275	194	11	by	by	ADP
cana-275	194	12	combining	combine	VERB
cana-275	194	13	historical	historical	ADJ
cana-275	194	14	data	datum	NOUN
cana-275	194	15	with	with	ADP
cana-275	194	16	advanced	advanced	ADJ
cana-275	194	17	time	time	NOUN
cana-275	194	18	series	series	NOUN
cana-275	194	19	analysis	analysis	NOUN
cana-275	194	20	techniques	technique	NOUN
cana-275	194	21	.	.	PUNCT
cana-275	195	1	both	both	CCONJ
cana-275	195	2	the	the	DET
cana-275	195	3	deep	deep	ADJ
cana-275	195	4	neural	neural	ADJ
cana-275	195	5	network	network	NOUN
cana-275	195	6	training	training	NOUN
cana-275	195	7	and	and	CCONJ
cana-275	195	8	the	the	DET
cana-275	195	9	ensemble	ensemble	NOUN
cana-275	195	10	's	's	PART
cana-275	195	11	decision	decision	NOUN
cana-275	195	12	-	-	PUNCT
cana-275	195	13	making	making	NOUN
cana-275	195	14	are	be	AUX
cana-275	195	15	impacted	impact	VERB
cana-275	195	16	by	by	ADP
cana-275	195	17	these	these	DET
cana-275	195	18	insights	insight	NOUN
cana-275	195	19	,	,	PUNCT
cana-275	195	20	which	which	PRON
cana-275	195	21	are	be	AUX
cana-275	195	22	woven	weave	VERB
cana-275	195	23	into	into	ADP
cana-275	195	24	the	the	DET
cana-275	195	25	ensemble	ensemble	ADJ
cana-275	195	26	's	's	PART
cana-275	195	27	fabric	fabric	NOUN
cana-275	195	28	using	use	VERB
cana-275	195	29	the	the	DET
cana-275	195	30	temporal	temporal	ADJ
cana-275	195	31	fusion	fusion	NOUN
cana-275	195	32	and	and	CCONJ
cana-275	195	33	adaptation	adaptation	NOUN
cana-275	195	34	layer	layer	NOUN
cana-275	195	35	.	.	PUNCT
cana-275	196	1	by	by	ADP
cana-275	196	2	prioritizing	prioritize	VERB
cana-275	196	3	temporal	temporal	ADJ
cana-275	196	4	dependencies	dependency	NOUN
cana-275	196	5	in	in	ADP
cana-275	196	6	the	the	DET
cana-275	196	7	prediction	prediction	NOUN
cana-275	196	8	process	process	NOUN
cana-275	196	9	,	,	PUNCT
cana-275	196	10	figure	figure	VERB
cana-275	196	11	3	3	NUM
cana-275	196	12	illustrates	illustrate	VERB
cana-275	196	13	a	a	DET
cana-275	196	14	paradigm	paradigm	NOUN
cana-275	196	15	change	change	NOUN
cana-275	196	16	in	in	ADP
cana-275	196	17	the	the	DET
cana-275	196	18	cdp	cdp	NOUN
cana-275	196	19	-	-	PUNCT
cana-275	196	20	del	del	ADJ
cana-275	196	21	method	method	NOUN
cana-275	196	22	.	.	PUNCT
cana-275	197	1	a	a	DET
cana-275	197	2	dynamic	dynamic	ADJ
cana-275	197	3	architecture	architecture	NOUN
cana-275	197	4	that	that	PRON
cana-275	197	5	takes	take	VERB
cana-275	197	6	into	into	ADP
cana-275	197	7	account	account	NOUN
cana-275	197	8	the	the	DET
cana-275	197	9	temporal	temporal	ADJ
cana-275	197	10	complexities	complexity	NOUN
cana-275	197	11	of	of	ADP
cana-275	197	12	chaotic	chaotic	ADJ
cana-275	197	13	systems	system	NOUN
cana-275	197	14	and	and	CCONJ
cana-275	197	15	uses	use	VERB
cana-275	197	16	them	they	PRON
cana-275	197	17	to	to	PART
cana-275	197	18	make	make	VERB
cana-275	197	19	better	well	ADJ
cana-275	197	20	predictions	prediction	NOUN
cana-275	197	21	is	be	AUX
cana-275	197	22	formed	form	VERB
cana-275	197	23	by	by	ADP
cana-275	197	24	the	the	DET
cana-275	197	25	temporal	temporal	ADJ
cana-275	197	26	fusion	fusion	NOUN
cana-275	197	27	and	and	CCONJ
cana-275	197	28	adaptation	adaptation	NOUN
cana-275	197	29	layer	layer	NOUN
cana-275	197	30	in	in	ADP
cana-275	197	31	conjunction	conjunction	NOUN
cana-275	197	32	with	with	ADP
cana-275	197	33	the	the	DET
cana-275	197	34	specialised	specialised	ADJ
cana-275	197	35	deep	deep	ADJ
cana-275	197	36	neural	neural	ADJ
cana-275	197	37	network	network	NOUN
cana-275	197	38	structures	structure	NOUN
cana-275	197	39	(	(	PUNCT
cana-275	197	40	network	network	NOUN
cana-275	197	41	3	3	NUM
cana-275	197	42	&	&	CCONJ
cana-275	197	43	network	network	PROPN
cana-275	197	44	4	4	NUM
cana-275	197	45	)	)	PUNCT
cana-275	197	46	.	.	PUNCT
cana-275	198	1	by	by	ADP
cana-275	198	2	using	use	VERB
cana-275	198	3	sophisticated	sophisticated	ADJ
cana-275	198	4	time	time	NOUN
cana-275	198	5	series	series	PROPN
cana-275	198	6	analytic	analytic	ADJ
cana-275	198	7	techniques	technique	NOUN
cana-275	198	8	and	and	CCONJ
cana-275	198	9	historical	historical	ADJ
cana-275	198	10	data	datum	NOUN
cana-275	198	11	,	,	PUNCT
cana-275	198	12	the	the	DET
cana-275	198	13	cdp	cdp	PROPN
cana-275	198	14	-	-	PUNCT
cana-275	198	15	del	del	ADJ
cana-275	198	16	methodology	methodology	NOUN
cana-275	198	17	is	be	AUX
cana-275	198	18	taken	take	VERB
cana-275	198	19	to	to	ADP
cana-275	198	20	a	a	DET
cana-275	198	21	higher	high	ADJ
cana-275	198	22	degree	degree	NOUN
cana-275	198	23	of	of	ADP
cana-275	198	24	sophistication	sophistication	NOUN
cana-275	198	25	,	,	PUNCT
cana-275	198	26	providing	provide	VERB
cana-275	198	27	a	a	DET
cana-275	198	28	reliable	reliable	ADJ
cana-275	198	29	solution	solution	NOUN
cana-275	198	30	for	for	ADP
cana-275	198	31	predicting	predict	VERB
cana-275	198	32	chaotic	chaotic	ADJ
cana-275	198	33	actions	action	NOUN
cana-275	198	34	in	in	ADP
cana-275	198	35	nonlinear	nonlinear	ADJ
cana-275	198	36	systems	system	NOUN
cana-275	198	37	in	in	ADP
cana-275	198	38	different	different	ADJ
cana-275	198	39	domains	domain	NOUN
cana-275	198	40	.	.	PUNCT
cana-275	199	1	incorporating	incorporate	VERB
cana-275	199	2	the	the	DET
cana-275	199	3	intricacy	intricacy	NOUN
cana-275	199	4	of	of	ADP
cana-275	199	5	chaotic	chaotic	ADJ
cana-275	199	6	dynamics	dynamic	NOUN
cana-275	199	7	,	,	PUNCT
cana-275	199	8	this	this	DET
cana-275	199	9	improved	improved	ADJ
cana-275	199	10	model	model	NOUN
cana-275	199	11	exemplifies	exemplify	VERB
cana-275	199	12	how	how	SCONJ
cana-275	199	13	predictive	predictive	ADJ
cana-275	199	14	approaches	approach	NOUN
cana-275	199	15	are	be	AUX
cana-275	199	16	evolving	evolve	VERB
cana-275	199	17	.	.	PUNCT
cana-275	200	1	improving	improve	VERB
cana-275	200	2	efficiency	efficiency	NOUN
cana-275	200	3	and	and	CCONJ
cana-275	200	4	flexibility	flexibility	NOUN
cana-275	200	5	,	,	PUNCT
cana-275	200	6	advanced	advanced	ADJ
cana-275	200	7	cdp	cdp	NOUN
cana-275	200	8	-	-	PUNCT
cana-275	200	9	del	del	ADJ
cana-275	200	10	components	component	NOUN
cana-275	200	11	optimize	optimize	VERB
cana-275	200	12	data	datum	NOUN
cana-275	200	13	processing	processing	NOUN
cana-275	200	14	for	for	ADP
cana-275	200	15	immediate	immediate	ADJ
cana-275	200	16	applications	application	NOUN
cana-275	200	17	by	by	ADP
cana-275	200	18	including	include	VERB
cana-275	200	19	dynamic	dynamic	ADJ
cana-275	200	20	temporal	temporal	ADJ
cana-275	200	21	dependencies	dependency	NOUN
cana-275	200	22	.	.	PUNCT
cana-275	201	1	𝑎𝑜+1	𝑎𝑜+1	X
cana-275	201	2	=	=	SYM
cana-275	201	3	𝑓𝑒.𝑎𝑜	𝑓𝑒.𝑎𝑜	PROPN
cana-275	201	4	.	.	PUNCT
cana-275	202	1	cos(𝑒.	cos(𝑒.	PROPN
cana-275	202	2	𝑦𝑜	𝑦𝑜	PROPN
cana-275	202	3	)	)	PUNCT
cana-275	203	1	+	+	CCONJ
cana-275	203	2	ℎ.	ℎ.	ADJ
cana-275	203	3	sin(𝑖.	sin(𝑖.	PROPN
cana-275	203	4	𝑧𝑜	𝑧𝑜	PROPN
cana-275	203	5	)	)	PUNCT
cana-275	204	1	+	+	CCONJ
cana-275	204	2	𝑗.	𝑗.	NOUN
cana-275	204	3	cos(𝑘.	cos(𝑘.	PROPN
cana-275	204	4	𝑎𝑜	𝑎𝑜	PROPN
cana-275	204	5	)	)	PUNCT
cana-275	204	6	+	+	CCONJ
cana-275	205	1	𝑙.	𝑙.	ADJ
cana-275	205	2	sin	sin	NOUN
cana-275	205	3	(	(	PUNCT
cana-275	205	4	𝑚.	𝑚.	NOUN
cana-275	205	5	𝑦𝑜	𝑦𝑜	NOUN
cana-275	205	6	)	)	PUNCT
cana-275	205	7	(	(	PUNCT
cana-275	205	8	7	7	X
cana-275	205	9	)	)	PUNCT
cana-275	205	10	there	there	PRON
cana-275	205	11	is	be	VERB
cana-275	205	12	a	a	DET
cana-275	205	13	clear	clear	ADJ
cana-275	205	14	relationship	relationship	NOUN
cana-275	205	15	between	between	ADP
cana-275	205	16	the	the	DET
cana-275	205	17	development	development	NOUN
cana-275	205	18	of	of	ADP
cana-275	205	19	the	the	DET
cana-275	205	20	system	system	NOUN
cana-275	205	21	and	and	CCONJ
cana-275	205	22	each	each	PRON
cana-275	205	23	of	of	ADP
cana-275	205	24	the	the	DET
cana-275	205	25	variables	variable	NOUN
cana-275	205	26	in	in	ADP
cana-275	205	27	the	the	DET
cana-275	205	28	equation	equation	NOUN
cana-275	205	29	(	(	PUNCT
cana-275	205	30	7	7	NUM
cana-275	205	31	)	)	PUNCT
cana-275	205	32	.	.	PUNCT
cana-275	206	1	the	the	DET
cana-275	206	2	current	current	ADJ
cana-275	206	3	state	state	NOUN
cana-275	206	4	of	of	ADP
cana-275	206	5	the	the	DET
cana-275	206	6	system	system	NOUN
cana-275	206	7	,	,	PUNCT
cana-275	206	8	𝑎𝑜	𝑎𝑜	PROPN
cana-275	206	9	,	,	PUNCT
cana-275	206	10	is	be	AUX
cana-275	206	11	used	use	VERB
cana-275	206	12	to	to	PART
cana-275	206	13	determine	determine	VERB
cana-275	206	14	the	the	DET
cana-275	206	15	next	next	ADJ
cana-275	206	16	stage	stage	NOUN
cana-275	206	17	of	of	ADP
cana-275	206	18	the	the	DET
cana-275	206	19	system	system	NOUN
cana-275	206	20	,	,	PUNCT
cana-275	206	21	𝑎𝑜	𝑎𝑜	ADP
cana-275	206	22	,	,	PUNCT
cana-275	206	23	which	which	PRON
cana-275	206	24	is	be	AUX
cana-275	206	25	then	then	ADV
cana-275	206	26	scaled	scale	VERB
cana-275	206	27	exponentially	exponentially	ADV
cana-275	206	28	by	by	ADP
cana-275	206	29	𝑓𝑒.𝑎𝑜.	𝑓𝑒.𝑎𝑜.	PROPN
cana-275	206	30	the	the	DET
cana-275	206	31	cross	cross	ADJ
cana-275	206	32	-	-	ADJ
cana-275	206	33	variable	variable	ADJ
cana-275	206	34	interactions	interaction	NOUN
cana-275	206	35	are	be	AUX
cana-275	206	36	shown	show	VERB
cana-275	206	37	by	by	ADP
cana-275	206	38	𝑦𝑜	𝑦𝑜	ADP
cana-275	206	39	,	,	PUNCT
cana-275	206	40	𝑧𝑜	𝑧𝑜	PRON
cana-275	206	41	,	,	PUNCT
cana-275	206	42	and	and	CCONJ
cana-275	206	43	𝑎𝑜.	𝑎𝑜.	VERB
cana-275	206	44	the	the	DET
cana-275	206	45	𝑦𝑜	𝑦𝑜	NOUN
cana-275	206	46	and	and	CCONJ
cana-275	206	47	𝑎𝑜	𝑎𝑜	PART
cana-275	206	48	are	be	AUX
cana-275	206	49	trigonometric	trigonometric	ADJ
cana-275	206	50	functions	function	NOUN
cana-275	206	51	,	,	PUNCT
cana-275	206	52	while	while	SCONJ
cana-275	206	53	𝑧𝑜	𝑧𝑜	PRON
cana-275	206	54	participates	participate	VERB
cana-275	206	55	in	in	ADP
cana-275	206	56	a	a	DET
cana-275	206	57	sinusoidal	sinusoidal	ADJ
cana-275	206	58	process	process	NOUN
cana-275	206	59	.	.	PUNCT
cana-275	207	1	coefficients	coefficient	NOUN
cana-275	207	2	𝑚	𝑚	PROPN
cana-275	207	3	and	and	CCONJ
cana-275	207	4	(	(	PUNCT
cana-275	207	5	𝑒	𝑒	PROPN
cana-275	207	6	,	,	PUNCT
cana-275	207	7	𝑓	𝑓	PRON
cana-275	207	8	,	,	PUNCT
cana-275	207	9	𝑔	𝑔	NOUN
cana-275	207	10	,	,	PUNCT
cana-275	207	11	ℎ	ℎ	PROPN
cana-275	207	12	,	,	PUNCT
cana-275	207	13	𝑖	𝑖	SYM
cana-275	207	14	,	,	PUNCT
cana-275	207	15	𝑗	𝑗	PROPN
cana-275	207	16	,	,	PUNCT
cana-275	207	17	𝑘	𝑘	NOUN
cana-275	207	18	)	)	PUNCT
cana-275	207	19	determine	determine	VERB
cana-275	207	20	the	the	DET
cana-275	207	21	amplitude	amplitude	NOUN
cana-275	207	22	&	&	CCONJ
cana-275	207	23	frequency	frequency	NOUN
cana-275	207	24	for	for	ADP
cana-275	207	25	each	each	DET
cana-275	207	26	component	component	NOUN
cana-275	207	27	.	.	PUNCT
cana-275	208	1	while	while	SCONJ
cana-275	208	2	𝑔	𝑔	NOUN
cana-275	208	3	,	,	PUNCT
cana-275	208	4	𝑖	𝑖	SYM
cana-275	208	5	,	,	PUNCT
cana-275	208	6	𝑘	𝑘	PROPN
cana-275	208	7	and	and	CCONJ
cana-275	208	8	𝑚	𝑚	X
cana-275	208	9	regulate	regulate	VERB
cana-275	208	10	the	the	DET
cana-275	208	11	total	total	ADJ
cana-275	208	12	effect	effect	NOUN
cana-275	208	13	of	of	ADP
cana-275	208	14	the	the	DET
cana-275	208	15	exponential	exponential	NOUN
cana-275	208	16	as	as	ADV
cana-275	208	17	well	well	ADV
cana-275	208	18	as	as	ADP
cana-275	208	19	trigonometric	trigonometric	ADJ
cana-275	208	20	terms	term	NOUN
cana-275	208	21	,	,	PUNCT
cana-275	208	22	𝑒	𝑒	X
cana-275	208	23	,	,	PUNCT
cana-275	208	24	ℎ	ℎ	PROPN
cana-275	208	25	,	,	PUNCT
cana-275	208	26	𝑗	𝑗	NOUN
cana-275	208	27	and	and	CCONJ
cana-275	208	28	𝑙	𝑙	CCONJ
cana-275	208	29	govern	govern	VERB
cana-275	208	30	the	the	DET
cana-275	208	31	frequency	frequency	NOUN
cana-275	208	32	ranges	range	NOUN
cana-275	208	33	of	of	ADP
cana-275	208	34	the	the	DET
cana-275	208	35	cosine	cosine	NOUN
cana-275	208	36	and	and	CCONJ
cana-275	208	37	sine	sine	ADJ
cana-275	208	38	functions	function	NOUN
cana-275	208	39	linked	link	VERB
cana-275	208	40	to	to	ADP
cana-275	208	41	𝑦𝑜	𝑦𝑜	ADP
cana-275	208	42	,	,	PUNCT
cana-275	208	43	𝑧𝑜	𝑧𝑜	PRON
cana-275	208	44	and	and	CCONJ
cana-275	208	45	𝑎𝑜	𝑎𝑜	ADP
cana-275	208	46	respectively	respectively	ADV
cana-275	208	47	.	.	PUNCT
cana-275	209	1	communications	communication	NOUN
cana-275	209	2	on	on	ADP
cana-275	209	3	applied	apply	VERB
cana-275	209	4	nonlinear	nonlinear	ADJ
cana-275	209	5	analysis	analysis	NOUN
cana-275	209	6	issn	issn	NOUN
cana-275	209	7	:	:	PUNCT
cana-275	209	8	1074	1074	NUM
cana-275	209	9	-	-	PUNCT
cana-275	209	10	133x	133x	NUM
cana-275	209	11	vol	vol	NOUN
cana-275	209	12	30	30	NUM
cana-275	209	13	no	no	NOUN
cana-275	209	14	.	.	NOUN
cana-275	209	15	3	3	NUM
cana-275	209	16	(	(	PUNCT
cana-275	209	17	2023	2023	NUM
cana-275	209	18	)	)	PUNCT
cana-275	209	19	10	10	NUM
cana-275	209	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	209	21	incorporating	incorporate	VERB
cana-275	209	22	these	these	DET
cana-275	209	23	varied	varied	ADJ
cana-275	209	24	components	component	NOUN
cana-275	209	25	with	with	ADP
cana-275	209	26	varying	vary	VERB
cana-275	209	27	frequencies	frequency	NOUN
cana-275	209	28	and	and	CCONJ
cana-275	209	29	interactions	interaction	NOUN
cana-275	209	30	increases	increase	VERB
cana-275	209	31	the	the	DET
cana-275	209	32	system	system	NOUN
cana-275	209	33	's	's	PART
cana-275	209	34	complexity	complexity	NOUN
cana-275	209	35	,	,	PUNCT
cana-275	209	36	demonstrating	demonstrate	VERB
cana-275	209	37	how	how	SCONJ
cana-275	209	38	complicated	complicated	ADJ
cana-275	209	39	it	it	PRON
cana-275	209	40	is	be	AUX
cana-275	209	41	to	to	PART
cana-275	209	42	anticipate	anticipate	VERB
cana-275	209	43	chaotic	chaotic	ADJ
cana-275	209	44	behaviour	behaviour	NOUN
cana-275	209	45	in	in	ADP
cana-275	209	46	dynamical	dynamical	ADJ
cana-275	209	47	systems	system	NOUN
cana-275	209	48	with	with	ADP
cana-275	209	49	multiple	multiple	ADJ
cana-275	209	50	variables	variable	NOUN
cana-275	209	51	.	.	PUNCT
cana-275	210	1	𝑥𝑜+1	𝑥𝑜+1	X
cana-275	210	2	=	=	SYM
cana-275	210	3	sin(ℎ.	sin(ℎ.	PROPN
cana-275	210	4	𝑥𝑜	𝑥𝑜	X
cana-275	210	5	)	)	PUNCT
cana-275	210	6	+	+	CCONJ
cana-275	210	7	𝑖.	𝑖.	ADJ
cana-275	210	8	cos(𝑗.	cos(𝑗.	PRON
cana-275	210	9	𝑦𝑜	𝑦𝑜	NOUN
cana-275	210	10	)	)	PUNCT
cana-275	210	11	+	+	NUM
cana-275	210	12	𝑘.	𝑘.	NOUN
cana-275	210	13	sin(𝑙.	sin(𝑙.	PROPN
cana-275	210	14	𝑧𝑜	𝑧𝑜	NOUN
cana-275	210	15	)	)	PUNCT
cana-275	210	16	+	+	CCONJ
cana-275	210	17	𝜖.	𝜖.	ADJ
cana-275	210	18	cos(𝜔.	cos(𝜔.	PROPN
cana-275	210	19	𝑎𝑜	𝑎𝑜	PROPN
cana-275	210	20	)	)	PUNCT
cana-275	210	21	+	+	CCONJ
cana-275	210	22	𝜇.	𝜇.	ADJ
cana-275	210	23	sin	sin	NOUN
cana-275	210	24	(	(	PUNCT
cana-275	210	25	휀	휀	NOUN
cana-275	210	26	.	.	NOUN
cana-275	211	1	𝑥𝑜	𝑥𝑜	NUM
cana-275	211	2	)	)	PUNCT
cana-275	211	3	(	(	PUNCT
cana-275	211	4	8)	8)	NUM
cana-275	211	5	the	the	DET
cana-275	211	6	current	current	ADJ
cana-275	211	7	state	state	NOUN
cana-275	211	8	𝑥𝑜	𝑥𝑜	X
cana-275	211	9	and	and	CCONJ
cana-275	211	10	other	other	ADJ
cana-275	211	11	cross	cross	ADJ
cana-275	211	12	-	-	ADJ
cana-275	211	13	variable	variable	ADJ
cana-275	211	14	factors	factor	NOUN
cana-275	211	15	including	include	VERB
cana-275	211	16	𝑦𝑜	𝑦𝑜	PROPN
cana-275	211	17	,	,	PUNCT
cana-275	211	18	𝑧𝑜	𝑧𝑜	PRON
cana-275	211	19	,	,	PUNCT
cana-275	211	20	and	and	CCONJ
cana-275	211	21	𝑎𝑜	𝑎𝑜	PART
cana-275	211	22	impact	impact	VERB
cana-275	211	23	the	the	DET
cana-275	211	24	future	future	ADJ
cana-275	211	25	state	state	NOUN
cana-275	211	26	of	of	ADP
cana-275	211	27	the	the	DET
cana-275	211	28	system	system	NOUN
cana-275	211	29	,	,	PUNCT
cana-275	211	30	represented	represent	VERB
cana-275	211	31	by	by	ADP
cana-275	211	32	𝑥𝑜+1	𝑥𝑜+1	NUM
cana-275	211	33	in	in	ADP
cana-275	211	34	the	the	DET
cana-275	211	35	equation	equation	NOUN
cana-275	211	36	(	(	PUNCT
cana-275	211	37	8)	8)	NUM
cana-275	211	38	.	.	PUNCT
cana-275	212	1	the	the	DET
cana-275	212	2	system	system	NOUN
cana-275	212	3	dynamics	dynamic	NOUN
cana-275	212	4	become	become	VERB
cana-275	212	5	nonlinear	nonlinear	ADJ
cana-275	212	6	and	and	CCONJ
cana-275	212	7	complicated	complicated	ADJ
cana-275	212	8	due	due	ADP
cana-275	212	9	to	to	ADP
cana-275	212	10	the	the	DET
cana-275	212	11	parameters	parameter	NOUN
cana-275	212	12	(	(	PUNCT
cana-275	212	13	ℎ	ℎ	PROPN
cana-275	212	14	,	,	PUNCT
cana-275	212	15	𝑖	𝑖	SYM
cana-275	212	16	,	,	PUNCT
cana-275	212	17	𝑗	𝑗	PROPN
cana-275	212	18	,	,	PUNCT
cana-275	212	19	𝑘	𝑘	PROPN
cana-275	212	20	,	,	PUNCT
cana-275	212	21	𝑙	𝑙	X
cana-275	212	22	,	,	PUNCT
cana-275	212	23	𝜔	𝜔	ADP
cana-275	212	24	,	,	PUNCT
cana-275	212	25	휀	휀	NOUN
cana-275	212	26	,	,	PUNCT
cana-275	212	27	𝜇	𝜇	NOUN
cana-275	212	28	)	)	PUNCT
cana-275	212	29	which	which	PRON
cana-275	212	30	determine	determine	VERB
cana-275	212	31	the	the	DET
cana-275	212	32	frequency	frequency	NOUN
cana-275	212	33	and	and	CCONJ
cana-275	212	34	intensity	intensity	NOUN
cana-275	212	35	of	of	ADP
cana-275	212	36	the	the	DET
cana-275	212	37	sine	sine	NOUN
cana-275	212	38	and	and	CCONJ
cana-275	212	39	cosine	cosine	NOUN
cana-275	212	40	terms	term	NOUN
cana-275	212	41	.	.	PUNCT
cana-275	213	1	the	the	DET
cana-275	213	2	incorporation	incorporation	NOUN
cana-275	213	3	of	of	ADP
cana-275	213	4	these	these	DET
cana-275	213	5	components	component	NOUN
cana-275	213	6	,	,	PUNCT
cana-275	213	7	in	in	ADP
cana-275	213	8	addition	addition	NOUN
cana-275	213	9	to	to	ADP
cana-275	213	10	an	an	DET
cana-275	213	11	exponential	exponential	ADJ
cana-275	213	12	term	term	NOUN
cana-275	213	13	,	,	PUNCT
cana-275	213	14	represents	represent	VERB
cana-275	213	15	an	an	DET
cana-275	213	16	advanced	advanced	ADJ
cana-275	213	17	and	and	CCONJ
cana-275	213	18	accurate	accurate	ADJ
cana-275	213	19	depiction	depiction	NOUN
cana-275	213	20	of	of	ADP
cana-275	213	21	chaotic	chaotic	ADJ
cana-275	213	22	behaviour	behaviour	NOUN
cana-275	213	23	in	in	ADP
cana-275	213	24	systems	system	NOUN
cana-275	213	25	with	with	ADP
cana-275	213	26	many	many	ADJ
cana-275	213	27	variables	variable	NOUN
cana-275	213	28	,	,	PUNCT
cana-275	213	29	where	where	SCONJ
cana-275	213	30	the	the	DET
cana-275	213	31	parameters	parameter	NOUN
cana-275	213	32	govern	govern	VERB
cana-275	213	33	complex	complex	ADJ
cana-275	213	34	interdependencies	interdependency	NOUN
cana-275	213	35	among	among	ADP
cana-275	213	36	the	the	DET
cana-275	213	37	variables	variable	NOUN
cana-275	213	38	.	.	PUNCT
cana-275	214	1	the	the	DET
cana-275	214	2	paper	paper	NOUN
cana-275	214	3	presents	present	VERB
cana-275	214	4	cdp	cdp	NOUN
cana-275	214	5	-	-	PUNCT
cana-275	214	6	del	del	PROPN
cana-275	214	7	,	,	PUNCT
cana-275	214	8	a	a	DET
cana-275	214	9	new	new	ADJ
cana-275	214	10	method	method	NOUN
cana-275	214	11	for	for	ADP
cana-275	214	12	predicting	predict	VERB
cana-275	214	13	chaotic	chaotic	ADJ
cana-275	214	14	actions	action	NOUN
cana-275	214	15	in	in	ADP
cana-275	214	16	nonlinear	nonlinear	ADJ
cana-275	214	17	systems	system	NOUN
cana-275	214	18	using	use	VERB
cana-275	214	19	deep	deep	ADJ
cana-275	214	20	ensemble	ensemble	ADJ
cana-275	214	21	learning	learning	NOUN
cana-275	214	22	.	.	PUNCT
cana-275	215	1	complex	complex	ADJ
cana-275	215	2	nonlinear	nonlinear	ADJ
cana-275	215	3	systems	system	NOUN
cana-275	215	4	may	may	AUX
cana-275	215	5	be	be	AUX
cana-275	215	6	addressed	address	VERB
cana-275	215	7	by	by	ADP
cana-275	215	8	utilizing	utilize	VERB
cana-275	215	9	cdp	cdp	NOUN
cana-275	215	10	-	-	PUNCT
cana-275	215	11	del	del	NOUN
cana-275	215	12	,	,	PUNCT
cana-275	215	13	which	which	PRON
cana-275	215	14	combines	combine	VERB
cana-275	215	15	architectures	architecture	NOUN
cana-275	215	16	of	of	ADP
cana-275	215	17	deep	deep	ADJ
cana-275	215	18	learning	learning	NOUN
cana-275	215	19	with	with	ADP
cana-275	215	20	ensemble	ensemble	ADJ
cana-275	215	21	learning	learning	NOUN
cana-275	215	22	.	.	PUNCT
cana-275	216	1	this	this	DET
cana-275	216	2	approach	approach	NOUN
cana-275	216	3	takes	take	VERB
cana-275	216	4	into	into	ADP
cana-275	216	5	account	account	NOUN
cana-275	216	6	both	both	DET
cana-275	216	7	the	the	DET
cana-275	216	8	sensitivity	sensitivity	NOUN
cana-275	216	9	to	to	ADP
cana-275	216	10	beginning	begin	VERB
cana-275	216	11	circumstances	circumstance	NOUN
cana-275	216	12	and	and	CCONJ
cana-275	216	13	the	the	DET
cana-275	216	14	absence	absence	NOUN
cana-275	216	15	of	of	ADP
cana-275	216	16	apparent	apparent	ADJ
cana-275	216	17	patterns	pattern	NOUN
cana-275	216	18	.	.	PUNCT
cana-275	217	1	feature	feature	NOUN
cana-275	217	2	engineering	engineering	NOUN
cana-275	217	3	,	,	PUNCT
cana-275	217	4	system	system	NOUN
cana-275	217	5	variables	variable	NOUN
cana-275	217	6	,	,	PUNCT
cana-275	217	7	and	and	CCONJ
cana-275	217	8	temporal	temporal	ADJ
cana-275	217	9	relationships	relationship	NOUN
cana-275	217	10	are	be	AUX
cana-275	217	11	all	all	PRON
cana-275	217	12	part	part	NOUN
cana-275	217	13	of	of	ADP
cana-275	217	14	this	this	DET
cana-275	217	15	comprehensive	comprehensive	ADJ
cana-275	217	16	strategy	strategy	NOUN
cana-275	217	17	.	.	PUNCT
cana-275	218	1	among	among	ADP
cana-275	218	2	the	the	DET
cana-275	218	3	many	many	ADJ
cana-275	218	4	fields	field	NOUN
cana-275	218	5	that	that	PRON
cana-275	218	6	find	find	VERB
cana-275	218	7	use	use	NOUN
cana-275	218	8	for	for	ADP
cana-275	218	9	it	it	PRON
cana-275	218	10	are	be	AUX
cana-275	218	11	control	control	NOUN
cana-275	218	12	systems	system	NOUN
cana-275	218	13	,	,	PUNCT
cana-275	218	14	ecological	ecological	ADJ
cana-275	218	15	studies	study	NOUN
cana-275	218	16	,	,	PUNCT
cana-275	218	17	financial	financial	ADJ
cana-275	218	18	models	model	NOUN
cana-275	218	19	,	,	PUNCT
cana-275	218	20	and	and	CCONJ
cana-275	218	21	even	even	ADV
cana-275	218	22	weather	weather	NOUN
cana-275	218	23	prediction	prediction	NOUN
cana-275	218	24	.	.	PUNCT
cana-275	219	1	when	when	SCONJ
cana-275	219	2	compared	compare	VERB
cana-275	219	3	to	to	ADP
cana-275	219	4	more	more	ADJ
cana-275	219	5	conventional	conventional	ADJ
cana-275	219	6	approaches	approach	NOUN
cana-275	219	7	,	,	PUNCT
cana-275	219	8	cdp	cdp	NOUN
cana-275	219	9	-	-	PUNCT
cana-275	219	10	del	del	NOUN
cana-275	219	11	shows	show	NOUN
cana-275	219	12	far	far	ADV
cana-275	219	13	better	well	ADJ
cana-275	219	14	results	result	NOUN
cana-275	219	15	in	in	ADP
cana-275	219	16	anticipating	anticipate	VERB
cana-275	219	17	chaotic	chaotic	ADJ
cana-275	219	18	behaviour	behaviour	NOUN
cana-275	219	19	,	,	PUNCT
cana-275	219	20	which	which	PRON
cana-275	219	21	makes	make	VERB
cana-275	219	22	it	it	PRON
cana-275	219	23	a	a	DET
cana-275	219	24	promising	promising	ADJ
cana-275	219	25	tool	tool	NOUN
cana-275	219	26	for	for	ADP
cana-275	219	27	improving	improve	VERB
cana-275	219	28	decisionmaking	decisionmake	VERB
cana-275	219	29	in	in	ADP
cana-275	219	30	real	real	ADJ
cana-275	219	31	-	-	PUNCT
cana-275	219	32	world	world	NOUN
cana-275	219	33	situations	situation	NOUN
cana-275	219	34	where	where	SCONJ
cana-275	219	35	chaotic	chaotic	ADJ
cana-275	219	36	dynamics	dynamic	NOUN
cana-275	219	37	play	play	VERB
cana-275	219	38	a	a	DET
cana-275	219	39	big	big	ADJ
cana-275	219	40	role	role	NOUN
cana-275	219	41	.	.	PUNCT
cana-275	220	1	4	4	X
cana-275	220	2	.	.	NOUN
cana-275	220	3	results	result	NOUN
cana-275	220	4	and	and	CCONJ
cana-275	220	5	discussion	discussion	NOUN
cana-275	220	6	with	with	ADP
cana-275	220	7	a	a	DET
cana-275	220	8	focus	focus	NOUN
cana-275	220	9	on	on	ADP
cana-275	220	10	chaotic	chaotic	ADJ
cana-275	220	11	behavior	behavior	NOUN
cana-275	220	12	prediction	prediction	NOUN
cana-275	220	13	in	in	ADP
cana-275	220	14	nonlinear	nonlinear	ADJ
cana-275	220	15	systems	system	NOUN
cana-275	220	16	,	,	PUNCT
cana-275	220	17	this	this	DET
cana-275	220	18	chapter	chapter	NOUN
cana-275	220	19	explores	explore	VERB
cana-275	220	20	the	the	DET
cana-275	220	21	thorough	thorough	ADJ
cana-275	220	22	examination	examination	NOUN
cana-275	220	23	of	of	ADP
cana-275	220	24	machine	machine	NOUN
cana-275	220	25	learning	learning	NOUN
cana-275	220	26	models	model	NOUN
cana-275	220	27	.	.	PUNCT
cana-275	221	1	important	important	ADJ
cana-275	221	2	components	component	NOUN
cana-275	221	3	are	be	AUX
cana-275	221	4	covered	cover	VERB
cana-275	221	5	by	by	ADP
cana-275	221	6	the	the	DET
cana-275	221	7	evaluations	evaluation	NOUN
cana-275	221	8	,	,	PUNCT
cana-275	221	9	which	which	PRON
cana-275	221	10	include	include	VERB
cana-275	221	11	analyses	analysis	NOUN
cana-275	221	12	of	of	ADP
cana-275	221	13	data	datum	NOUN
cana-275	221	14	visualization	visualization	NOUN
cana-275	221	15	,	,	PUNCT
cana-275	221	16	evaluation	evaluation	NOUN
cana-275	221	17	of	of	ADP
cana-275	221	18	computer	computer	NOUN
cana-275	221	19	resources	resource	NOUN
cana-275	221	20	,	,	PUNCT
cana-275	221	21	and	and	CCONJ
cana-275	221	22	reproducibility	reproducibility	NOUN
cana-275	221	23	.	.	PUNCT
cana-275	222	1	two	two	NUM
cana-275	222	2	models	model	NOUN
cana-275	222	3	,	,	PUNCT
cana-275	222	4	cdp	cdp	NOUN
cana-275	222	5	-	-	PUNCT
cana-275	222	6	del	del	NOUN
cana-275	222	7	and	and	CCONJ
cana-275	222	8	the	the	DET
cana-275	222	9	more	more	ADV
cana-275	222	10	conventional	conventional	ADJ
cana-275	222	11	cdp	cdp	NOUN
cana-275	222	12	,	,	PUNCT
cana-275	222	13	are	be	AUX
cana-275	222	14	compared	compare	VERB
cana-275	222	15	here	here	ADV
cana-275	222	16	.	.	PUNCT
cana-275	223	1	cdp	cdp	PROPN
cana-275	223	2	stands	stand	VERB
cana-275	223	3	for	for	ADP
cana-275	223	4	chaotic	chaotic	ADJ
cana-275	223	5	dynamics	dynamic	NOUN
cana-275	223	6	prediction	prediction	NOUN
cana-275	223	7	.	.	PUNCT
cana-275	224	1	the	the	DET
cana-275	224	2	purpose	purpose	NOUN
cana-275	224	3	of	of	ADP
cana-275	224	4	these	these	DET
cana-275	224	5	tests	test	NOUN
cana-275	224	6	is	be	AUX
cana-275	224	7	to	to	PART
cana-275	224	8	reveal	reveal	VERB
cana-275	224	9	how	how	SCONJ
cana-275	224	10	well	well	ADV
cana-275	224	11	these	these	DET
cana-275	224	12	models	model	NOUN
cana-275	224	13	work	work	VERB
cana-275	224	14	in	in	ADP
cana-275	224	15	the	the	DET
cana-275	224	16	difficult	difficult	ADJ
cana-275	224	17	domain	domain	NOUN
cana-275	224	18	of	of	ADP
cana-275	224	19	chaotic	chaotic	ADJ
cana-275	224	20	systems	system	NOUN
cana-275	224	21	and	and	CCONJ
cana-275	224	22	whether	whether	SCONJ
cana-275	224	23	or	or	CCONJ
cana-275	224	24	not	not	PART
cana-275	224	25	they	they	PRON
cana-275	224	26	are	be	AUX
cana-275	224	27	generalizable	generalizable	ADJ
cana-275	224	28	.	.	PUNCT
cana-275	225	1	figure	figure	NOUN
cana-275	225	2	4(a	4(a	NUM
cana-275	225	3	):	):	PUNCT
cana-275	225	4	analysis	analysis	NOUN
cana-275	225	5	of	of	ADP
cana-275	225	6	cross	cross	NOUN
cana-275	225	7	-	-	ADJ
cana-275	225	8	validation	validation	NOUN
cana-275	225	9	is	be	AUX
cana-275	225	10	compared	compare	VERB
cana-275	225	11	with	with	ADP
cana-275	225	12	cdp	cdp	NOUN
cana-275	225	13	-	-	PUNCT
cana-275	225	14	del	del	ADJ
cana-275	225	15	figure	figure	NOUN
cana-275	225	16	4(b	4(b	NUM
cana-275	225	17	):	):	PUNCT
cana-275	225	18	analysis	analysis	NOUN
cana-275	225	19	of	of	ADP
cana-275	225	20	cross	cross	NOUN
cana-275	225	21	-	-	ADJ
cana-275	225	22	validation	validation	NOUN
cana-275	225	23	is	be	AUX
cana-275	225	24	compared	compare	VERB
cana-275	225	25	with	with	ADP
cana-275	225	26	cdp	cdp	NOUN
cana-275	225	27	communications	communication	NOUN
cana-275	225	28	on	on	ADP
cana-275	225	29	applied	apply	VERB
cana-275	225	30	nonlinear	nonlinear	ADJ
cana-275	225	31	analysis	analysis	NOUN
cana-275	225	32	issn	issn	NOUN
cana-275	225	33	:	:	PUNCT
cana-275	225	34	1074	1074	NUM
cana-275	225	35	-	-	PUNCT
cana-275	225	36	133x	133x	NUM
cana-275	225	37	vol	vol	NOUN
cana-275	225	38	30	30	NUM
cana-275	225	39	no	no	NOUN
cana-275	225	40	.	.	NOUN
cana-275	225	41	3	3	NUM
cana-275	225	42	(	(	PUNCT
cana-275	225	43	2023	2023	NUM
cana-275	225	44	)	)	PUNCT
cana-275	225	45	11	11	NUM
cana-275	225	46	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	225	47	when	when	SCONJ
cana-275	225	48	evaluating	evaluate	VERB
cana-275	225	49	the	the	DET
cana-275	225	50	generalizability	generalizability	NOUN
cana-275	225	51	and	and	CCONJ
cana-275	225	52	robustness	robustness	NOUN
cana-275	225	53	of	of	ADP
cana-275	225	54	machine	machine	NOUN
cana-275	225	55	learning	learning	NOUN
cana-275	225	56	models	model	NOUN
cana-275	225	57	for	for	ADP
cana-275	225	58	chaotic	chaotic	ADJ
cana-275	225	59	behavior	behavior	NOUN
cana-275	225	60	prediction	prediction	NOUN
cana-275	225	61	in	in	ADP
cana-275	225	62	nonlinear	nonlinear	ADJ
cana-275	225	63	systems	system	NOUN
cana-275	225	64	,	,	PUNCT
cana-275	225	65	it	it	PRON
cana-275	225	66	is	be	AUX
cana-275	225	67	essential	essential	ADJ
cana-275	225	68	to	to	PART
cana-275	225	69	examine	examine	VERB
cana-275	225	70	cross	cross	NOUN
cana-275	225	71	-	-	NOUN
cana-275	225	72	validation	validation	NOUN
cana-275	225	73	.	.	PUNCT
cana-275	226	1	by	by	ADP
cana-275	226	2	dividing	divide	VERB
cana-275	226	3	the	the	DET
cana-275	226	4	available	available	ADJ
cana-275	226	5	data	datum	NOUN
cana-275	226	6	into	into	ADP
cana-275	226	7	training	training	NOUN
cana-275	226	8	and	and	CCONJ
cana-275	226	9	testing	testing	NOUN
cana-275	226	10	subsets	subset	NOUN
cana-275	226	11	,	,	PUNCT
cana-275	226	12	predictive	predictive	ADJ
cana-275	226	13	models	model	NOUN
cana-275	226	14	are	be	AUX
cana-275	226	15	tested	test	VERB
cana-275	226	16	using	use	VERB
cana-275	226	17	cross	cross	NOUN
cana-275	226	18	-	-	NOUN
cana-275	226	19	validation	validation	NOUN
cana-275	226	20	.	.	PUNCT
cana-275	227	1	to	to	PART
cana-275	227	2	make	make	VERB
cana-275	227	3	sure	sure	ADJ
cana-275	227	4	the	the	DET
cana-275	227	5	prediction	prediction	NOUN
cana-275	227	6	models	model	NOUN
cana-275	227	7	can	can	AUX
cana-275	227	8	handle	handle	VERB
cana-275	227	9	different	different	ADJ
cana-275	227	10	circumstances	circumstance	NOUN
cana-275	227	11	,	,	PUNCT
cana-275	227	12	cross	cross	NOUN
cana-275	227	13	-	-	ADJ
cana-275	227	14	validation	validation	NOUN
cana-275	227	15	is	be	AUX
cana-275	227	16	useful	useful	ADJ
cana-275	227	17	in	in	ADP
cana-275	227	18	chaotic	chaotic	ADJ
cana-275	227	19	systems	system	NOUN
cana-275	227	20	,	,	PUNCT
cana-275	227	21	where	where	SCONJ
cana-275	227	22	beginning	begin	VERB
cana-275	227	23	condition	condition	NOUN
cana-275	227	24	sensitivity	sensitivity	NOUN
cana-275	227	25	is	be	AUX
cana-275	227	26	critical	critical	ADJ
cana-275	227	27	.	.	PUNCT
cana-275	228	1	to	to	PART
cana-275	228	2	reduce	reduce	VERB
cana-275	228	3	the	the	DET
cana-275	228	4	likelihood	likelihood	NOUN
cana-275	228	5	of	of	ADP
cana-275	228	6	overfitting	overfitte	VERB
cana-275	228	7	or	or	CCONJ
cana-275	228	8	underfitting	underfitting	NOUN
cana-275	228	9	,	,	PUNCT
cana-275	228	10	cross	cross	ADJ
cana-275	228	11	-	-	ADJ
cana-275	228	12	validation	validation	NOUN
cana-275	228	13	repeatedly	repeatedly	ADV
cana-275	228	14	divides	divide	VERB
cana-275	228	15	the	the	DET
cana-275	228	16	dataset	dataset	NOUN
cana-275	228	17	into	into	ADP
cana-275	228	18	training	training	NOUN
cana-275	228	19	and	and	CCONJ
cana-275	228	20	testing	testing	NOUN
cana-275	228	21	sets	set	NOUN
cana-275	228	22	.	.	PUNCT
cana-275	229	1	this	this	PRON
cana-275	229	2	allows	allow	VERB
cana-275	229	3	for	for	ADP
cana-275	229	4	a	a	DET
cana-275	229	5	more	more	ADV
cana-275	229	6	thorough	thorough	ADJ
cana-275	229	7	assessment	assessment	NOUN
cana-275	229	8	of	of	ADP
cana-275	229	9	the	the	DET
cana-275	229	10	model	model	NOUN
cana-275	229	11	's	's	PART
cana-275	229	12	performance	performance	NOUN
cana-275	229	13	across	across	ADP
cana-275	229	14	various	various	ADJ
cana-275	229	15	data	datum	NOUN
cana-275	229	16	distributions	distribution	NOUN
cana-275	229	17	.	.	PUNCT
cana-275	230	1	furthermore	furthermore	ADV
cana-275	230	2	,	,	PUNCT
cana-275	230	3	it	it	PRON
cana-275	230	4	sheds	shed	VERB
cana-275	230	5	light	light	NOUN
cana-275	230	6	on	on	ADP
cana-275	230	7	the	the	DET
cana-275	230	8	predictability	predictability	NOUN
cana-275	230	9	and	and	CCONJ
cana-275	230	10	stability	stability	NOUN
cana-275	230	11	of	of	ADP
cana-275	230	12	the	the	DET
cana-275	230	13	system	system	NOUN
cana-275	230	14	,	,	PUNCT
cana-275	230	15	particularly	particularly	ADV
cana-275	230	16	when	when	SCONJ
cana-275	230	17	dealing	deal	VERB
cana-275	230	18	with	with	ADP
cana-275	230	19	the	the	DET
cana-275	230	20	uncertainty	uncertainty	NOUN
cana-275	230	21	and	and	CCONJ
cana-275	230	22	noise	noise	NOUN
cana-275	230	23	that	that	PRON
cana-275	230	24	are	be	AUX
cana-275	230	25	characteristic	characteristic	ADJ
cana-275	230	26	of	of	ADP
cana-275	230	27	chaotic	chaotic	ADJ
cana-275	230	28	systems	system	NOUN
cana-275	230	29	.	.	PUNCT
cana-275	231	1	researchers	researcher	NOUN
cana-275	231	2	can	can	AUX
cana-275	231	3	optimize	optimize	VERB
cana-275	231	4	model	model	NOUN
cana-275	231	5	parameters	parameter	NOUN
cana-275	231	6	,	,	PUNCT
cana-275	231	7	evaluate	evaluate	VERB
cana-275	231	8	the	the	DET
cana-275	231	9	trade	trade	NOUN
cana-275	231	10	-	-	PUNCT
cana-275	231	11	off	off	NOUN
cana-275	231	12	between	between	ADP
cana-275	231	13	variance	variance	NOUN
cana-275	231	14	and	and	CCONJ
cana-275	231	15	bias	bias	NOUN
cana-275	231	16	,	,	PUNCT
cana-275	231	17	and	and	CCONJ
cana-275	231	18	select	select	VERB
cana-275	231	19	an	an	DET
cana-275	231	20	appropriate	appropriate	ADJ
cana-275	231	21	machine	machine	NOUN
cana-275	231	22	learning	learn	VERB
cana-275	231	23	strategy	strategy	NOUN
cana-275	231	24	for	for	ADP
cana-275	231	25	accurately	accurately	ADV
cana-275	231	26	and	and	CCONJ
cana-275	231	27	generically	generically	ADV
cana-275	231	28	predicting	predict	VERB
cana-275	231	29	chaotic	chaotic	ADJ
cana-275	231	30	behavior	behavior	NOUN
cana-275	231	31	in	in	ADP
cana-275	231	32	nonlinear	nonlinear	ADJ
cana-275	231	33	systems	system	NOUN
cana-275	231	34	by	by	ADP
cana-275	231	35	analyzing	analyze	VERB
cana-275	231	36	cross	cross	ADJ
cana-275	231	37	-	-	ADJ
cana-275	231	38	validation	validation	ADJ
cana-275	231	39	results	result	NOUN
cana-275	231	40	.	.	PUNCT
cana-275	232	1	as	as	SCONJ
cana-275	232	2	shown	show	VERB
cana-275	232	3	in	in	ADP
cana-275	232	4	figure	figure	NOUN
cana-275	232	5	4(a	4(a	NUM
cana-275	232	6	)	)	PUNCT
cana-275	232	7	of	of	ADP
cana-275	232	8	the	the	DET
cana-275	232	9	cross	cross	ADJ
cana-275	232	10	-	-	ADJ
cana-275	232	11	validation	validation	ADJ
cana-275	232	12	analysis	analysis	NOUN
cana-275	232	13	,	,	PUNCT
cana-275	232	14	the	the	DET
cana-275	232	15	chaotic	chaotic	ADJ
cana-275	232	16	dynamics	dynamic	NOUN
cana-275	232	17	prediction	prediction	NOUN
cana-275	232	18	through	through	ADP
cana-275	232	19	deep	deep	ADJ
cana-275	232	20	ensemble	ensemble	ADJ
cana-275	232	21	learning	learning	NOUN
cana-275	232	22	(	(	PUNCT
cana-275	232	23	cdp	cdp	NOUN
cana-275	232	24	-	-	PUNCT
cana-275	232	25	del	del	NOUN
cana-275	232	26	)	)	PUNCT
cana-275	232	27	model	model	NOUN
cana-275	232	28	exhibited	exhibit	VERB
cana-275	232	29	an	an	DET
cana-275	232	30	impressive	impressive	ADJ
cana-275	232	31	correlation	correlation	NOUN
cana-275	232	32	of	of	ADP
cana-275	232	33	95.5	95.5	NUM
cana-275	232	34	%	%	NOUN
cana-275	232	35	.	.	PUNCT
cana-275	233	1	when	when	SCONJ
cana-275	233	2	compared	compare	VERB
cana-275	233	3	to	to	ADP
cana-275	233	4	the	the	DET
cana-275	233	5	chaotic	chaotic	ADJ
cana-275	233	6	dynamics	dynamic	NOUN
cana-275	233	7	prediction	prediction	NOUN
cana-275	233	8	(	(	PUNCT
cana-275	233	9	cdp	cdp	NOUN
cana-275	233	10	)	)	PUNCT
cana-275	233	11	model	model	NOUN
cana-275	233	12	in	in	ADP
cana-275	233	13	a	a	DET
cana-275	233	14	crossvalidation	crossvalidation	NOUN
cana-275	233	15	analysis	analysis	NOUN
cana-275	233	16	,	,	PUNCT
cana-275	233	17	as	as	SCONJ
cana-275	233	18	shown	show	VERB
cana-275	233	19	in	in	ADP
cana-275	233	20	figure	figure	NOUN
cana-275	233	21	4(b	4(b	NUM
cana-275	233	22	)	)	PUNCT
cana-275	233	23	,	,	PUNCT
cana-275	233	24	the	the	DET
cana-275	233	25	correlation	correlation	NOUN
cana-275	233	26	remains	remain	VERB
cana-275	233	27	remarkable	remarkable	ADJ
cana-275	233	28	at	at	ADP
cana-275	233	29	93.5	93.5	NUM
cana-275	233	30	%	%	NOUN
cana-275	233	31	.	.	PUNCT
cana-275	234	1	compared	compare	VERB
cana-275	234	2	to	to	ADP
cana-275	234	3	the	the	DET
cana-275	234	4	normal	normal	ADJ
cana-275	234	5	cdp	cdp	NOUN
cana-275	234	6	model	model	NOUN
cana-275	234	7	,	,	PUNCT
cana-275	234	8	these	these	DET
cana-275	234	9	results	result	NOUN
cana-275	234	10	show	show	VERB
cana-275	234	11	that	that	SCONJ
cana-275	234	12	cdp	cdp	PROPN
cana-275	234	13	-	-	PUNCT
cana-275	234	14	del	del	PROPN
cana-275	234	15	has	have	VERB
cana-275	234	16	better	well	ADJ
cana-275	234	17	predictive	predictive	ADJ
cana-275	234	18	capabilities	capability	NOUN
cana-275	234	19	,	,	PUNCT
cana-275	234	20	particularly	particularly	ADV
cana-275	234	21	when	when	SCONJ
cana-275	234	22	it	it	PRON
cana-275	234	23	comes	come	VERB
cana-275	234	24	to	to	ADP
cana-275	234	25	capturing	capture	VERB
cana-275	234	26	and	and	CCONJ
cana-275	234	27	predicting	predict	VERB
cana-275	234	28	complicated	complicated	ADJ
cana-275	234	29	dynamics	dynamic	NOUN
cana-275	234	30	.	.	PUNCT
cana-275	235	1	figure	figure	NOUN
cana-275	235	2	5(a	5(a	NUM
cana-275	235	3	):	):	PUNCT
cana-275	235	4	data	datum	NOUN
cana-275	235	5	visualization	visualization	NOUN
cana-275	235	6	analysis	analysis	NOUN
cana-275	235	7	is	be	AUX
cana-275	235	8	compared	compare	VERB
cana-275	235	9	with	with	ADP
cana-275	235	10	cdp	cdp	NOUN
cana-275	235	11	-	-	PUNCT
cana-275	235	12	del	del	ADJ
cana-275	235	13	figure	figure	NOUN
cana-275	235	14	5(b	5(b	NUM
cana-275	235	15	):	):	PUNCT
cana-275	235	16	data	datum	NOUN
cana-275	235	17	visualization	visualization	NOUN
cana-275	235	18	analysis	analysis	NOUN
cana-275	235	19	is	be	AUX
cana-275	235	20	compared	compare	VERB
cana-275	235	21	with	with	ADP
cana-275	235	22	cdp	cdp	NOUN
cana-275	235	23	evaluation	evaluation	NOUN
cana-275	235	24	of	of	ADP
cana-275	235	25	machine	machine	NOUN
cana-275	235	26	learning	learning	NOUN
cana-275	235	27	methods	method	NOUN
cana-275	235	28	for	for	ADP
cana-275	235	29	chaotic	chaotic	ADJ
cana-275	235	30	behavior	behavior	NOUN
cana-275	235	31	prediction	prediction	NOUN
cana-275	235	32	in	in	ADP
cana-275	235	33	nonlinear	nonlinear	ADJ
cana-275	235	34	systems	system	NOUN
cana-275	235	35	relies	rely	VERB
cana-275	235	36	heavily	heavily	ADV
cana-275	235	37	on	on	ADP
cana-275	235	38	data	datum	NOUN
cana-275	235	39	visualization	visualization	NOUN
cana-275	235	40	analysis	analysis	NOUN
cana-275	235	41	.	.	PUNCT
cana-275	236	1	these	these	DET
cana-275	236	2	analyses	analysis	NOUN
cana-275	236	3	shed	shed	VERB
cana-275	236	4	light	light	NOUN
cana-275	236	5	on	on	ADP
cana-275	236	6	the	the	DET
cana-275	236	7	strengths	strength	NOUN
cana-275	236	8	and	and	CCONJ
cana-275	236	9	weaknesses	weakness	NOUN
cana-275	236	10	of	of	ADP
cana-275	236	11	prediction	prediction	NOUN
cana-275	236	12	models	model	NOUN
cana-275	236	13	by	by	ADP
cana-275	236	14	graphically	graphically	ADV
cana-275	236	15	depicting	depict	VERB
cana-275	236	16	intricate	intricate	ADJ
cana-275	236	17	data	datum	NOUN
cana-275	236	18	patterns	pattern	NOUN
cana-275	236	19	and	and	CCONJ
cana-275	236	20	linkages	linkage	NOUN
cana-275	236	21	.	.	PUNCT
cana-275	237	1	the	the	DET
cana-275	237	2	system	system	NOUN
cana-275	237	3	's	's	PART
cana-275	237	4	behavior	behavior	NOUN
cana-275	237	5	and	and	CCONJ
cana-275	237	6	the	the	DET
cana-275	237	7	model	model	NOUN
cana-275	237	8	's	's	PART
cana-275	237	9	prediction	prediction	NOUN
cana-275	237	10	skills	skill	NOUN
cana-275	237	11	can	can	AUX
cana-275	237	12	be	be	AUX
cana-275	237	13	better	well	ADV
cana-275	237	14	understood	understand	VERB
cana-275	237	15	with	with	ADP
cana-275	237	16	the	the	DET
cana-275	237	17	use	use	NOUN
cana-275	237	18	of	of	ADP
cana-275	237	19	plots	plot	NOUN
cana-275	237	20	like	like	ADP
cana-275	237	21	phase	phase	NOUN
cana-275	237	22	space	space	NOUN
cana-275	237	23	diagrams	diagram	NOUN
cana-275	237	24	and	and	CCONJ
cana-275	237	25	time	time	NOUN
cana-275	237	26	series	series	NOUN
cana-275	237	27	graphs	graph	NOUN
cana-275	237	28	.	.	PUNCT
cana-275	238	1	it	it	PRON
cana-275	238	2	is	be	AUX
cana-275	238	3	easier	easy	ADJ
cana-275	238	4	to	to	PART
cana-275	238	5	see	see	VERB
cana-275	238	6	nonlinear	nonlinear	ADJ
cana-275	238	7	patterns	pattern	NOUN
cana-275	238	8	,	,	PUNCT
cana-275	238	9	see	see	VERB
cana-275	238	10	how	how	SCONJ
cana-275	238	11	various	various	ADJ
cana-275	238	12	variables	variable	NOUN
cana-275	238	13	affect	affect	VERB
cana-275	238	14	predictions	prediction	NOUN
cana-275	238	15	,	,	PUNCT
cana-275	238	16	and	and	CCONJ
cana-275	238	17	see	see	VERB
cana-275	238	18	how	how	SCONJ
cana-275	238	19	sensitive	sensitive	ADJ
cana-275	238	20	the	the	DET
cana-275	238	21	model	model	NOUN
cana-275	238	22	is	be	AUX
cana-275	238	23	to	to	ADP
cana-275	238	24	starting	start	VERB
cana-275	238	25	points	point	NOUN
cana-275	238	26	when	when	SCONJ
cana-275	238	27	using	use	VERB
cana-275	238	28	visualization	visualization	NOUN
cana-275	238	29	.	.	PUNCT
cana-275	239	1	predictions	prediction	NOUN
cana-275	239	2	animated	animate	VERB
cana-275	239	3	over	over	ADP
cana-275	239	4	time	time	NOUN
cana-275	239	5	improve	improve	VERB
cana-275	239	6	dynamic	dynamic	ADJ
cana-275	239	7	understanding	understanding	NOUN
cana-275	239	8	,	,	PUNCT
cana-275	239	9	while	while	SCONJ
cana-275	239	10	heatmaps	heatmap	NOUN
cana-275	239	11	and	and	CCONJ
cana-275	239	12	scatter	scatter	NOUN
cana-275	239	13	plots	plot	NOUN
cana-275	239	14	show	show	NOUN
cana-275	239	15	correlations	correlation	NOUN
cana-275	239	16	.	.	PUNCT
cana-275	240	1	make	make	VERB
cana-275	240	2	sure	sure	ADJ
cana-275	240	3	that	that	SCONJ
cana-275	240	4	machine	machine	NOUN
cana-275	240	5	learning	learning	NOUN
cana-275	240	6	methods	method	NOUN
cana-275	240	7	can	can	AUX
cana-275	240	8	accurately	accurately	ADV
cana-275	240	9	capture	capture	VERB
cana-275	240	10	and	and	CCONJ
cana-275	240	11	forecast	forecast	VERB
cana-275	240	12	chaotic	chaotic	ADJ
cana-275	240	13	dynamics	dynamic	NOUN
cana-275	240	14	in	in	ADP
cana-275	240	15	nonlinear	nonlinear	ADJ
cana-275	240	16	systems	system	NOUN
cana-275	240	17	by	by	ADP
cana-275	240	18	using	use	VERB
cana-275	240	19	this	this	DET
cana-275	240	20	visual	visual	ADJ
cana-275	240	21	investigation	investigation	NOUN
cana-275	240	22	to	to	PART
cana-275	240	23	improve	improve	VERB
cana-275	240	24	models	model	NOUN
cana-275	240	25	,	,	PUNCT
cana-275	240	26	spot	spot	NOUN
cana-275	240	27	outliers	outlier	NOUN
cana-275	240	28	,	,	PUNCT
cana-275	240	29	and	and	CCONJ
cana-275	240	30	make	make	VERB
cana-275	240	31	them	they	PRON
cana-275	240	32	easier	easy	ADJ
cana-275	240	33	to	to	PART
cana-275	240	34	understand	understand	VERB
cana-275	240	35	.	.	PUNCT
cana-275	241	1	the	the	DET
cana-275	241	2	data	datum	NOUN
cana-275	241	3	visualization	visualization	NOUN
cana-275	241	4	analysis	analysis	NOUN
cana-275	241	5	and	and	CCONJ
cana-275	241	6	the	the	DET
cana-275	241	7	chaotic	chaotic	ADJ
cana-275	241	8	dynamics	dynamic	NOUN
cana-275	241	9	prediction	prediction	NOUN
cana-275	241	10	communications	communication	NOUN
cana-275	241	11	on	on	ADP
cana-275	241	12	applied	apply	VERB
cana-275	241	13	nonlinear	nonlinear	ADJ
cana-275	241	14	analysis	analysis	NOUN
cana-275	241	15	issn	issn	NOUN
cana-275	241	16	:	:	PUNCT
cana-275	241	17	1074	1074	NUM
cana-275	241	18	-	-	PUNCT
cana-275	241	19	133x	133x	NUM
cana-275	241	20	vol	vol	NOUN
cana-275	241	21	30	30	NUM
cana-275	241	22	no	no	NOUN
cana-275	241	23	.	.	NOUN
cana-275	241	24	3	3	NUM
cana-275	241	25	(	(	PUNCT
cana-275	241	26	2023	2023	NUM
cana-275	241	27	)	)	PUNCT
cana-275	241	28	12	12	NUM
cana-275	241	29	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	241	30	using	use	VERB
cana-275	241	31	deep	deep	ADJ
cana-275	241	32	ensemble	ensemble	ADJ
cana-275	241	33	learning	learning	NOUN
cana-275	241	34	(	(	PUNCT
cana-275	241	35	cdp	cdp	NOUN
cana-275	241	36	-	-	PUNCT
cana-275	241	37	del	del	NOUN
cana-275	241	38	)	)	PUNCT
cana-275	241	39	show	show	VERB
cana-275	241	40	an	an	DET
cana-275	241	41	impressive	impressive	ADJ
cana-275	241	42	correlation	correlation	NOUN
cana-275	241	43	of	of	ADP
cana-275	241	44	97.8	97.8	NUM
cana-275	241	45	%	%	NOUN
cana-275	241	46	in	in	ADP
cana-275	241	47	figure	figure	NOUN
cana-275	241	48	5(a	5(a	NUM
cana-275	241	49	)	)	PUNCT
cana-275	241	50	.	.	PUNCT
cana-275	242	1	the	the	DET
cana-275	242	2	data	datum	NOUN
cana-275	242	3	visualization	visualization	NOUN
cana-275	242	4	analysis	analysis	NOUN
cana-275	242	5	,	,	PUNCT
cana-275	242	6	in	in	ADP
cana-275	242	7	contrast	contrast	NOUN
cana-275	242	8	,	,	PUNCT
cana-275	242	9	shows	show	VERB
cana-275	242	10	a	a	DET
cana-275	242	11	still	still	ADV
cana-275	242	12	-	-	PUNCT
cana-275	242	13	substantial	substantial	ADJ
cana-275	242	14	92.7	92.7	NUM
cana-275	242	15	%	%	NOUN
cana-275	242	16	correlation	correlation	NOUN
cana-275	242	17	when	when	SCONJ
cana-275	242	18	compared	compare	VERB
cana-275	242	19	with	with	ADP
cana-275	242	20	the	the	DET
cana-275	242	21	traditional	traditional	ADJ
cana-275	242	22	chaotic	chaotic	ADJ
cana-275	242	23	dynamics	dynamic	NOUN
cana-275	242	24	prediction	prediction	NOUN
cana-275	242	25	(	(	PUNCT
cana-275	242	26	cdp	cdp	NOUN
cana-275	242	27	)	)	PUNCT
cana-275	242	28	,	,	PUNCT
cana-275	242	29	as	as	SCONJ
cana-275	242	30	seen	see	VERB
cana-275	242	31	in	in	ADP
cana-275	242	32	figure	figure	NOUN
cana-275	242	33	5(b	5(b	NUM
cana-275	242	34	)	)	PUNCT
cana-275	242	35	.	.	PUNCT
cana-275	243	1	the	the	DET
cana-275	243	2	results	result	NOUN
cana-275	243	3	show	show	VERB
cana-275	243	4	that	that	SCONJ
cana-275	243	5	cdp	cdp	NOUN
cana-275	243	6	-	-	PUNCT
cana-275	243	7	del	del	NOUN
cana-275	243	8	is	be	AUX
cana-275	243	9	more	more	ADV
cana-275	243	10	accurate	accurate	ADJ
cana-275	243	11	than	than	ADP
cana-275	243	12	the	the	DET
cana-275	243	13	classic	classic	ADJ
cana-275	243	14	cdp	cdp	NOUN
cana-275	243	15	model	model	NOUN
cana-275	243	16	and	and	CCONJ
cana-275	243	17	does	do	VERB
cana-275	243	18	a	a	DET
cana-275	243	19	better	well	ADJ
cana-275	243	20	job	job	NOUN
cana-275	243	21	of	of	ADP
cana-275	243	22	capturing	capture	VERB
cana-275	243	23	and	and	CCONJ
cana-275	243	24	matching	match	VERB
cana-275	243	25	with	with	ADP
cana-275	243	26	patterns	pattern	NOUN
cana-275	243	27	in	in	ADP
cana-275	243	28	data	datum	NOUN
cana-275	243	29	visualization	visualization	NOUN
cana-275	243	30	.	.	PUNCT
cana-275	244	1	figure	figure	NOUN
cana-275	244	2	6(a	6(a	NUM
cana-275	244	3	):	):	PUNCT
cana-275	244	4	evaluation	evaluation	NOUN
cana-275	244	5	of	of	ADP
cana-275	244	6	computing	compute	VERB
cana-275	244	7	resources	resource	NOUN
cana-275	244	8	analysis	analysis	NOUN
cana-275	244	9	is	be	AUX
cana-275	244	10	compared	compare	VERB
cana-275	244	11	with	with	ADP
cana-275	244	12	cdp	cdp	NOUN
cana-275	244	13	-	-	PUNCT
cana-275	244	14	del	del	ADJ
cana-275	244	15	figure	figure	NOUN
cana-275	244	16	6(b	6(b	NUM
cana-275	244	17	):	):	PUNCT
cana-275	244	18	evaluation	evaluation	NOUN
cana-275	244	19	of	of	ADP
cana-275	244	20	computing	compute	VERB
cana-275	244	21	resources	resource	NOUN
cana-275	244	22	analysis	analysis	NOUN
cana-275	244	23	is	be	AUX
cana-275	244	24	compared	compare	VERB
cana-275	244	25	with	with	ADP
cana-275	244	26	cdp	cdp	NOUN
cana-275	244	27	when	when	SCONJ
cana-275	244	28	using	use	VERB
cana-275	244	29	machine	machine	NOUN
cana-275	244	30	learning	learning	NOUN
cana-275	244	31	methods	method	NOUN
cana-275	244	32	to	to	PART
cana-275	244	33	forecast	forecast	VERB
cana-275	244	34	chaotic	chaotic	ADJ
cana-275	244	35	behavior	behavior	NOUN
cana-275	244	36	in	in	ADP
cana-275	244	37	nonlinear	nonlinear	ADJ
cana-275	244	38	systems	system	NOUN
cana-275	244	39	,	,	PUNCT
cana-275	244	40	it	it	PRON
cana-275	244	41	is	be	AUX
cana-275	244	42	crucial	crucial	ADJ
cana-275	244	43	to	to	PART
cana-275	244	44	assess	assess	VERB
cana-275	244	45	available	available	ADJ
cana-275	244	46	computational	computational	ADJ
cana-275	244	47	resources	resource	NOUN
cana-275	244	48	.	.	PUNCT
cana-275	245	1	the	the	DET
cana-275	245	2	computational	computational	ADJ
cana-275	245	3	intensity	intensity	NOUN
cana-275	245	4	and	and	CCONJ
cana-275	245	5	intrinsic	intrinsic	ADJ
cana-275	245	6	complexity	complexity	NOUN
cana-275	245	7	of	of	ADP
cana-275	245	8	training	training	NOUN
cana-275	245	9	models	model	NOUN
cana-275	245	10	on	on	ADP
cana-275	245	11	chaotic	chaotic	ADJ
cana-275	245	12	data	datum	NOUN
cana-275	245	13	makes	make	VERB
cana-275	245	14	it	it	PRON
cana-275	245	15	all	all	DET
cana-275	245	16	the	the	DET
cana-275	245	17	more	more	ADV
cana-275	245	18	important	important	ADJ
cana-275	245	19	to	to	PART
cana-275	245	20	evaluate	evaluate	VERB
cana-275	245	21	computing	computing	NOUN
cana-275	245	22	resources	resource	NOUN
cana-275	245	23	for	for	ADP
cana-275	245	24	scalability	scalability	NOUN
cana-275	245	25	and	and	CCONJ
cana-275	245	26	efficiency	efficiency	NOUN
cana-275	245	27	.	.	PUNCT
cana-275	246	1	considerations	consideration	NOUN
cana-275	246	2	including	include	VERB
cana-275	246	3	processor	processor	NOUN
cana-275	246	4	speed	speed	NOUN
cana-275	246	5	,	,	PUNCT
cana-275	246	6	memory	memory	NOUN
cana-275	246	7	capacity	capacity	NOUN
cana-275	246	8	,	,	PUNCT
cana-275	246	9	and	and	CCONJ
cana-275	246	10	parallelization	parallelization	NOUN
cana-275	246	11	capabilities	capability	NOUN
cana-275	246	12	are	be	AUX
cana-275	246	13	part	part	NOUN
cana-275	246	14	of	of	ADP
cana-275	246	15	this	this	DET
cana-275	246	16	examination	examination	NOUN
cana-275	246	17	.	.	PUNCT
cana-275	247	1	to	to	PART
cana-275	247	2	effectively	effectively	ADV
cana-275	247	3	manage	manage	VERB
cana-275	247	4	the	the	DET
cana-275	247	5	computational	computational	ADJ
cana-275	247	6	needs	need	NOUN
cana-275	247	7	,	,	PUNCT
cana-275	247	8	specialist	specialist	ADJ
cana-275	247	9	hardware	hardware	NOUN
cana-275	247	10	such	such	ADJ
cana-275	247	11	as	as	ADP
cana-275	247	12	graphics	graphics	NOUN
cana-275	247	13	processing	processing	NOUN
cana-275	247	14	units	unit	NOUN
cana-275	247	15	(	(	PUNCT
cana-275	247	16	gpus	gpu	NOUN
cana-275	247	17	)	)	PUNCT
cana-275	247	18	or	or	CCONJ
cana-275	247	19	high	high	ADJ
cana-275	247	20	-	-	PUNCT
cana-275	247	21	performance	performance	NOUN
cana-275	247	22	computing	computing	NOUN
cana-275	247	23	environments	environment	NOUN
cana-275	247	24	may	may	AUX
cana-275	247	25	be	be	AUX
cana-275	247	26	required	require	VERB
cana-275	247	27	.	.	PUNCT
cana-275	248	1	training	training	NOUN
cana-275	248	2	time	time	NOUN
cana-275	248	3	and	and	CCONJ
cana-275	248	4	general	general	ADJ
cana-275	248	5	performance	performance	NOUN
cana-275	248	6	can	can	AUX
cana-275	248	7	be	be	AUX
cana-275	248	8	greatly	greatly	ADV
cana-275	248	9	improved	improve	VERB
cana-275	248	10	by	by	ADP
cana-275	248	11	tailoring	tailor	VERB
cana-275	248	12	algorithms	algorithm	NOUN
cana-275	248	13	to	to	PART
cana-275	248	14	work	work	VERB
cana-275	248	15	with	with	ADP
cana-275	248	16	distributed	distribute	VERB
cana-275	248	17	computing	computing	NOUN
cana-275	248	18	.	.	PUNCT
cana-275	249	1	it	it	PRON
cana-275	249	2	is	be	AUX
cana-275	249	3	important	important	ADJ
cana-275	249	4	to	to	PART
cana-275	249	5	assess	assess	VERB
cana-275	249	6	computational	computational	ADJ
cana-275	249	7	resources	resource	NOUN
cana-275	249	8	to	to	PART
cana-275	249	9	make	make	VERB
cana-275	249	10	sure	sure	ADJ
cana-275	249	11	that	that	SCONJ
cana-275	249	12	machine	machine	NOUN
cana-275	249	13	learning	learning	NOUN
cana-275	249	14	models	model	NOUN
cana-275	249	15	can	can	AUX
cana-275	249	16	handle	handle	VERB
cana-275	249	17	chaotic	chaotic	ADJ
cana-275	249	18	dynamics	dynamic	NOUN
cana-275	249	19	.	.	PUNCT
cana-275	250	1	this	this	PRON
cana-275	250	2	will	will	AUX
cana-275	250	3	allow	allow	VERB
cana-275	250	4	for	for	ADP
cana-275	250	5	more	more	ADV
cana-275	250	6	accurate	accurate	ADJ
cana-275	250	7	predictions	prediction	NOUN
cana-275	250	8	and	and	CCONJ
cana-275	250	9	the	the	DET
cana-275	250	10	practical	practical	ADJ
cana-275	250	11	use	use	NOUN
cana-275	250	12	of	of	ADP
cana-275	250	13	these	these	DET
cana-275	250	14	models	model	NOUN
cana-275	250	15	in	in	ADP
cana-275	250	16	many	many	ADJ
cana-275	250	17	fields	field	NOUN
cana-275	250	18	,	,	PUNCT
cana-275	250	19	like	like	ADP
cana-275	250	20	finance	finance	NOUN
cana-275	250	21	and	and	CCONJ
cana-275	250	22	physics	physics	NOUN
cana-275	250	23	,	,	PUNCT
cana-275	250	24	where	where	SCONJ
cana-275	250	25	chaotic	chaotic	ADJ
cana-275	250	26	systems	system	NOUN
cana-275	250	27	are	be	AUX
cana-275	250	28	common	common	ADJ
cana-275	250	29	.	.	PUNCT
cana-275	251	1	the	the	DET
cana-275	251	2	evaluation	evaluation	NOUN
cana-275	251	3	of	of	ADP
cana-275	251	4	computing	compute	VERB
cana-275	251	5	resources	resource	NOUN
cana-275	251	6	analysis	analysis	NOUN
cana-275	251	7	and	and	CCONJ
cana-275	251	8	the	the	DET
cana-275	251	9	chaotic	chaotic	ADJ
cana-275	251	10	dynamics	dynamic	NOUN
cana-275	251	11	prediction	prediction	NOUN
cana-275	251	12	using	use	VERB
cana-275	251	13	deep	deep	ADJ
cana-275	251	14	ensemble	ensemble	ADJ
cana-275	251	15	learning	learning	NOUN
cana-275	251	16	(	(	PUNCT
cana-275	251	17	cdp	cdp	NOUN
cana-275	251	18	-	-	PUNCT
cana-275	251	19	del	del	NOUN
cana-275	251	20	)	)	PUNCT
cana-275	251	21	show	show	VERB
cana-275	251	22	a	a	DET
cana-275	251	23	strong	strong	ADJ
cana-275	251	24	correlation	correlation	NOUN
cana-275	251	25	of	of	ADP
cana-275	251	26	94.2	94.2	NUM
cana-275	251	27	%	%	NOUN
cana-275	251	28	,	,	PUNCT
cana-275	251	29	as	as	SCONJ
cana-275	251	30	shown	show	VERB
cana-275	251	31	in	in	ADP
cana-275	251	32	figure	figure	NOUN
cana-275	251	33	6(a	6(a	NUM
cana-275	251	34	)	)	PUNCT
cana-275	251	35	.	.	PUNCT
cana-275	252	1	figure	figure	NOUN
cana-275	252	2	6(b	6(b	NUM
cana-275	252	3	)	)	PUNCT
cana-275	252	4	shows	show	VERB
cana-275	252	5	that	that	SCONJ
cana-275	252	6	there	there	PRON
cana-275	252	7	is	be	VERB
cana-275	252	8	an	an	DET
cana-275	252	9	impressive	impressive	ADJ
cana-275	252	10	92.8	92.8	NUM
cana-275	252	11	%	%	NOUN
cana-275	252	12	connection	connection	NOUN
cana-275	252	13	between	between	ADP
cana-275	252	14	the	the	DET
cana-275	252	15	evaluation	evaluation	NOUN
cana-275	252	16	of	of	ADP
cana-275	252	17	computing	compute	VERB
cana-275	252	18	resources	resource	NOUN
cana-275	252	19	analysis	analysis	NOUN
cana-275	252	20	and	and	CCONJ
cana-275	252	21	the	the	DET
cana-275	252	22	traditional	traditional	ADJ
cana-275	252	23	chaotic	chaotic	ADJ
cana-275	252	24	dynamics	dynamic	NOUN
cana-275	252	25	prediction	prediction	NOUN
cana-275	252	26	(	(	PUNCT
cana-275	252	27	cdp	cdp	NOUN
cana-275	252	28	)	)	PUNCT
cana-275	252	29	.	.	PUNCT
cana-275	253	1	these	these	DET
cana-275	253	2	findings	finding	NOUN
cana-275	253	3	demonstrate	demonstrate	VERB
cana-275	253	4	that	that	SCONJ
cana-275	253	5	cdp	cdp	AUX
cana-275	253	6	-	-	PUNCT
cana-275	253	7	del	del	ADV
cana-275	253	8	makes	make	VERB
cana-275	253	9	better	well	ADJ
cana-275	253	10	use	use	NOUN
cana-275	253	11	of	of	ADP
cana-275	253	12	computational	computational	ADJ
cana-275	253	13	resources	resource	NOUN
cana-275	253	14	than	than	SCONJ
cana-275	253	15	the	the	DET
cana-275	253	16	conventional	conventional	ADJ
cana-275	253	17	cdp	cdp	NOUN
cana-275	253	18	model	model	NOUN
cana-275	253	19	does	do	VERB
cana-275	253	20	,	,	PUNCT
cana-275	253	21	and	and	CCONJ
cana-275	253	22	that	that	SCONJ
cana-275	253	23	its	its	PRON
cana-275	253	24	assessments	assessment	NOUN
cana-275	253	25	are	be	AUX
cana-275	253	26	more	more	ADV
cana-275	253	27	accurate	accurate	ADJ
cana-275	253	28	and	and	CCONJ
cana-275	253	29	dependable	dependable	ADJ
cana-275	253	30	.	.	PUNCT
cana-275	254	1	communications	communication	NOUN
cana-275	254	2	on	on	ADP
cana-275	254	3	applied	apply	VERB
cana-275	254	4	nonlinear	nonlinear	ADJ
cana-275	254	5	analysis	analysis	NOUN
cana-275	254	6	issn	issn	NOUN
cana-275	254	7	:	:	PUNCT
cana-275	254	8	1074	1074	NUM
cana-275	254	9	-	-	PUNCT
cana-275	254	10	133x	133x	NUM
cana-275	254	11	vol	vol	NOUN
cana-275	254	12	30	30	NUM
cana-275	254	13	no	no	NOUN
cana-275	254	14	.	.	NOUN
cana-275	254	15	3	3	NUM
cana-275	254	16	(	(	PUNCT
cana-275	254	17	2023	2023	NUM
cana-275	254	18	)	)	PUNCT
cana-275	254	19	13	13	NUM
cana-275	254	20	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-275	254	21	figure	figure	NOUN
cana-275	254	22	7(a	7(a	NUM
cana-275	254	23	):	):	PUNCT
cana-275	254	24	reproducibility	reproducibility	NOUN
cana-275	254	25	analysis	analysis	NOUN
cana-275	254	26	with	with	ADP
cana-275	254	27	a	a	DET
cana-275	254	28	random	random	ADJ
cana-275	254	29	seed	seed	NOUN
cana-275	254	30	analysis	analysis	NOUN
cana-275	254	31	is	be	AUX
cana-275	254	32	compared	compare	VERB
cana-275	254	33	with	with	ADP
cana-275	254	34	cdp	cdp	NOUN
cana-275	254	35	-	-	PUNCT
cana-275	254	36	del	del	ADJ
cana-275	254	37	figure	figure	NOUN
cana-275	254	38	7(b	7(b	NOUN
cana-275	254	39	):	):	PUNCT
cana-275	254	40	reproducibility	reproducibility	NOUN
cana-275	254	41	analysis	analysis	NOUN
cana-275	254	42	with	with	ADP
cana-275	254	43	a	a	DET
cana-275	254	44	random	random	ADJ
cana-275	254	45	seed	seed	NOUN
cana-275	254	46	analysis	analysis	NOUN
cana-275	254	47	is	be	AUX
cana-275	254	48	compared	compare	VERB
cana-275	254	49	with	with	ADP
cana-275	254	50	cdp	cdp	NOUN
cana-275	254	51	machine	machine	NOUN
cana-275	254	52	learning	learning	NOUN
cana-275	254	53	methods	method	NOUN
cana-275	254	54	for	for	ADP
cana-275	254	55	forecasting	forecast	VERB
cana-275	254	56	chaotic	chaotic	ADJ
cana-275	254	57	behavior	behavior	NOUN
cana-275	254	58	in	in	ADP
cana-275	254	59	nonlinear	nonlinear	ADJ
cana-275	254	60	systems	system	NOUN
cana-275	254	61	must	must	AUX
cana-275	254	62	undergo	undergo	VERB
cana-275	254	63	reproducibility	reproducibility	NOUN
cana-275	254	64	testing	testing	NOUN
cana-275	254	65	using	use	VERB
cana-275	254	66	a	a	DET
cana-275	254	67	random	random	ADJ
cana-275	254	68	seed	seed	NOUN
cana-275	254	69	to	to	PART
cana-275	254	70	guarantee	guarantee	VERB
cana-275	254	71	their	their	PRON
cana-275	254	72	dependability	dependability	NOUN
cana-275	254	73	.	.	PUNCT
cana-275	255	1	reproducibility	reproducibility	NOUN
cana-275	255	2	is	be	AUX
cana-275	255	3	difficult	difficult	ADJ
cana-275	255	4	in	in	ADP
cana-275	255	5	chaotic	chaotic	ADJ
cana-275	255	6	systems	system	NOUN
cana-275	255	7	because	because	SCONJ
cana-275	255	8	they	they	PRON
cana-275	255	9	are	be	AUX
cana-275	255	10	sensitive	sensitive	ADJ
cana-275	255	11	to	to	ADP
cana-275	255	12	starting	start	VERB
cana-275	255	13	conditions	condition	NOUN
cana-275	255	14	.	.	PUNCT
cana-275	256	1	for	for	ADP
cana-275	256	2	easier	easy	ADJ
cana-275	256	3	experiment	experiment	NOUN
cana-275	256	4	replication	replication	NOUN
cana-275	256	5	,	,	PUNCT
cana-275	256	6	researchers	researcher	NOUN
cana-275	256	7	can	can	AUX
cana-275	256	8	choose	choose	VERB
cana-275	256	9	a	a	DET
cana-275	256	10	random	random	ADJ
cana-275	256	11	seed	seed	NOUN
cana-275	256	12	to	to	PART
cana-275	256	13	duplicate	duplicate	VERB
cana-275	256	14	the	the	DET
cana-275	256	15	identical	identical	ADJ
cana-275	256	16	initial	initial	ADJ
cana-275	256	17	conditions	condition	NOUN
cana-275	256	18	.	.	PUNCT
cana-275	257	1	you	you	PRON
cana-275	257	2	can	can	AUX
cana-275	257	3	check	check	VERB
cana-275	257	4	if	if	SCONJ
cana-275	257	5	the	the	DET
cana-275	257	6	model	model	NOUN
cana-275	257	7	is	be	AUX
cana-275	257	8	stable	stable	ADJ
cana-275	257	9	between	between	ADP
cana-275	257	10	runs	run	NOUN
cana-275	257	11	and	and	CCONJ
cana-275	257	12	if	if	SCONJ
cana-275	257	13	the	the	DET
cana-275	257	14	patterns	pattern	NOUN
cana-275	257	15	you	you	PRON
cana-275	257	16	see	see	VERB
cana-275	257	17	are	be	AUX
cana-275	257	18	n't	not	PART
cana-275	257	19	due	due	ADJ
cana-275	257	20	to	to	ADP
cana-275	257	21	a	a	DET
cana-275	257	22	particular	particular	ADJ
cana-275	257	23	initialization	initialization	NOUN
cana-275	257	24	by	by	ADP
cana-275	257	25	changing	change	VERB
cana-275	257	26	the	the	DET
cana-275	257	27	random	random	ADJ
cana-275	257	28	seed	seed	NOUN
cana-275	257	29	in	in	ADP
cana-275	257	30	a	a	DET
cana-275	257	31	methodical	methodical	ADJ
cana-275	257	32	way	way	NOUN
cana-275	257	33	.	.	PUNCT
cana-275	258	1	using	use	VERB
cana-275	258	2	a	a	DET
cana-275	258	3	random	random	ADJ
cana-275	258	4	seed	seed	NOUN
cana-275	258	5	in	in	ADP
cana-275	258	6	a	a	DET
cana-275	258	7	reproducibility	reproducibility	NOUN
cana-275	258	8	analysis	analysis	NOUN
cana-275	258	9	increases	increase	VERB
cana-275	258	10	trust	trust	NOUN
cana-275	258	11	in	in	ADP
cana-275	258	12	results	result	NOUN
cana-275	258	13	,	,	PUNCT
cana-275	258	14	simplifies	simplifie	NOUN
cana-275	258	15	debugging	debugging	NOUN
cana-275	258	16	,	,	PUNCT
cana-275	258	17	and	and	CCONJ
cana-275	258	18	makes	make	VERB
cana-275	258	19	research	research	NOUN
cana-275	258	20	more	more	ADV
cana-275	258	21	open	open	ADJ
cana-275	258	22	and	and	CCONJ
cana-275	258	23	accessible	accessible	ADJ
cana-275	258	24	.	.	PUNCT
cana-275	259	1	predictions	prediction	NOUN
cana-275	259	2	involving	involve	VERB
cana-275	259	3	chaotic	chaotic	ADJ
cana-275	259	4	systems	system	NOUN
cana-275	259	5	rely	rely	VERB
cana-275	259	6	heavily	heavily	ADV
cana-275	259	7	on	on	ADP
cana-275	259	8	it	it	PRON
cana-275	259	9	since	since	SCONJ
cana-275	259	10	even	even	ADV
cana-275	259	11	little	little	ADJ
cana-275	259	12	changes	change	NOUN
cana-275	259	13	to	to	ADP
cana-275	259	14	the	the	DET
cana-275	259	15	input	input	NOUN
cana-275	259	16	or	or	CCONJ
cana-275	259	17	model	model	NOUN
cana-275	259	18	parameters	parameter	NOUN
cana-275	259	19	can	can	AUX
cana-275	259	20	provide	provide	VERB
cana-275	259	21	drastically	drastically	ADV
cana-275	259	22	different	different	ADJ
cana-275	259	23	results	result	NOUN
cana-275	259	24	.	.	PUNCT
cana-275	260	1	this	this	DET
cana-275	260	2	method	method	NOUN
cana-275	260	3	provides	provide	VERB
cana-275	260	4	more	more	ADJ
cana-275	260	5	evidence	evidence	NOUN
cana-275	260	6	that	that	SCONJ
cana-275	260	7	the	the	DET
cana-275	260	8	outcomes	outcome	NOUN
cana-275	260	9	are	be	AUX
cana-275	260	10	not	not	PART
cana-275	260	11	due	due	ADJ
cana-275	260	12	to	to	ADP
cana-275	260	13	random	random	ADJ
cana-275	260	14	chance	chance	NOUN
cana-275	260	15	and	and	CCONJ
cana-275	260	16	strengthens	strengthen	VERB
cana-275	260	17	the	the	DET
cana-275	260	18	assessment	assessment	NOUN
cana-275	260	19	of	of	ADP
cana-275	260	20	machine	machine	NOUN
cana-275	260	21	learning	learning	NOUN
cana-275	260	22	models	model	NOUN
cana-275	260	23	for	for	ADP
cana-275	260	24	forecasting	forecast	VERB
cana-275	260	25	nonlinear	nonlinear	ADJ
cana-275	260	26	systems	system	NOUN
cana-275	260	27	'	'	PART
cana-275	260	28	chaotic	chaotic	ADJ
cana-275	260	29	behavior	behavior	NOUN
cana-275	260	30	.	.	PUNCT
cana-275	261	1	the	the	DET
cana-275	261	2	reproducibility	reproducibility	NOUN
cana-275	261	3	analysis	analysis	NOUN
cana-275	261	4	with	with	ADP
cana-275	261	5	a	a	DET
cana-275	261	6	random	random	ADJ
cana-275	261	7	seed	seed	NOUN
cana-275	261	8	and	and	CCONJ
cana-275	261	9	the	the	DET
cana-275	261	10	chaotic	chaotic	ADJ
cana-275	261	11	dynamics	dynamic	NOUN
cana-275	261	12	prediction	prediction	NOUN
cana-275	261	13	with	with	ADP
cana-275	261	14	deep	deep	ADJ
cana-275	261	15	ensemble	ensemble	ADJ
cana-275	261	16	learning	learning	NOUN
cana-275	261	17	(	(	PUNCT
cana-275	261	18	cdp	cdp	NOUN
cana-275	261	19	-	-	PUNCT
cana-275	261	20	del	del	NOUN
cana-275	261	21	)	)	PUNCT
cana-275	261	22	show	show	VERB
cana-275	261	23	an	an	DET
cana-275	261	24	impressive	impressive	ADJ
cana-275	261	25	correlation	correlation	NOUN
cana-275	261	26	of	of	ADP
cana-275	261	27	97.4	97.4	NUM
cana-275	261	28	percent	percent	NOUN
cana-275	261	29	,	,	PUNCT
cana-275	261	30	as	as	SCONJ
cana-275	261	31	shown	show	VERB
cana-275	261	32	in	in	ADP
cana-275	261	33	figure	figure	NOUN
cana-275	261	34	7(a	7(a	NUM
cana-275	261	35	)	)	PUNCT
cana-275	261	36	.	.	PUNCT
cana-275	262	1	figure	figure	VERB
cana-275	262	2	7(b	7(b	NOUN
cana-275	262	3	)	)	PUNCT
cana-275	262	4	shows	show	VERB
cana-275	262	5	that	that	SCONJ
cana-275	262	6	when	when	SCONJ
cana-275	262	7	compared	compare	VERB
cana-275	262	8	to	to	ADP
cana-275	262	9	the	the	DET
cana-275	262	10	normal	normal	ADJ
cana-275	262	11	chaotic	chaotic	ADJ
cana-275	262	12	dynamics	dynamic	NOUN
cana-275	262	13	prediction	prediction	NOUN
cana-275	262	14	(	(	PUNCT
cana-275	262	15	cdp	cdp	NOUN
cana-275	262	16	)	)	PUNCT
cana-275	262	17	,	,	PUNCT
cana-275	262	18	the	the	DET
cana-275	262	19	same	same	ADJ
cana-275	262	20	reproducibility	reproducibility	NOUN
cana-275	262	21	analysis	analysis	NOUN
cana-275	262	22	using	use	VERB
cana-275	262	23	a	a	DET
cana-275	262	24	random	random	ADJ
cana-275	262	25	seed	seed	NOUN
cana-275	262	26	demonstrates	demonstrate	VERB
cana-275	262	27	an	an	DET
cana-275	262	28	impressive	impressive	ADJ
cana-275	262	29	93.6	93.6	NUM
cana-275	262	30	%	%	NOUN
cana-275	262	31	correlation	correlation	NOUN
cana-275	262	32	.	.	PUNCT
cana-275	263	1	in	in	ADP
cana-275	263	2	comparison	comparison	NOUN
cana-275	263	3	to	to	ADP
cana-275	263	4	the	the	DET
cana-275	263	5	conventional	conventional	ADJ
cana-275	263	6	cdp	cdp	NOUN
cana-275	263	7	model	model	NOUN
cana-275	263	8	,	,	PUNCT
cana-275	263	9	cdp	cdp	PROPN
cana-275	263	10	-	-	PUNCT
cana-275	263	11	del	del	NOUN
cana-275	263	12	demonstrates	demonstrate	VERB
cana-275	263	13	improved	improved	ADJ
cana-275	263	14	accuracy	accuracy	NOUN
cana-275	263	15	in	in	ADP
cana-275	263	16	achieving	achieve	VERB
cana-275	263	17	and	and	CCONJ
cana-275	263	18	maintaining	maintain	VERB
cana-275	263	19	consistency	consistency	NOUN
cana-275	263	20	with	with	ADP
cana-275	263	21	random	random	ADJ
cana-275	263	22	seed	seed	NOUN
cana-275	263	23	analyses	analysis	NOUN
cana-275	263	24	,	,	PUNCT
cana-275	263	25	as	as	SCONJ
cana-275	263	26	demonstrated	demonstrate	VERB
cana-275	263	27	by	by	ADP
cana-275	263	28	these	these	DET
cana-275	263	29	data	datum	NOUN
cana-275	263	30	.	.	PUNCT
cana-275	264	1	considered	consider	VERB
cana-275	264	2	together	together	ADV
cana-275	264	3	,	,	PUNCT
cana-275	264	4	our	our	PRON
cana-275	264	5	results	result	NOUN
cana-275	264	6	demonstrate	demonstrate	VERB
cana-275	264	7	that	that	SCONJ
cana-275	264	8	cdp	cdp	NOUN
cana-275	264	9	-	-	PUNCT
cana-275	264	10	del	del	NOUN
cana-275	264	11	is	be	AUX
cana-275	264	12	more	more	ADV
cana-275	264	13	reliable	reliable	ADJ
cana-275	264	14	and	and	CCONJ
cana-275	264	15	has	have	VERB
cana-275	264	16	better	well	ADJ
cana-275	264	17	predictive	predictive	ADJ
cana-275	264	18	capacities	capacity	NOUN
cana-275	264	19	than	than	ADP
cana-275	264	20	competing	compete	VERB
cana-275	264	21	methods	method	NOUN
cana-275	264	22	in	in	ADP
cana-275	264	23	many	many	ADJ
cana-275	264	24	important	important	ADJ
cana-275	264	25	respects	respect	NOUN
cana-275	264	26	;	;	PUNCT
cana-275	264	27	this	this	PRON
cana-275	264	28	opens	open	VERB
cana-275	264	29	up	up	ADP
cana-275	264	30	new	new	ADJ
cana-275	264	31	possibilities	possibility	NOUN
cana-275	264	32	for	for	ADP
cana-275	264	33	the	the	DET
cana-275	264	34	prediction	prediction	NOUN
cana-275	264	35	of	of	ADP
cana-275	264	36	chaotic	chaotic	ADJ
cana-275	264	37	dynamics	dynamic	NOUN
cana-275	264	38	in	in	ADP
cana-275	264	39	nonlinear	nonlinear	ADJ
cana-275	264	40	systems	system	NOUN
cana-275	264	41	.	.	PUNCT
cana-275	265	1	5	5	X
cana-275	265	2	.	.	X
cana-275	265	3	conclusion	conclusion	NOUN
cana-275	265	4	ultimately	ultimately	ADV
cana-275	265	5	,	,	PUNCT
cana-275	265	6	the	the	DET
cana-275	265	7	advancements	advancement	NOUN
cana-275	265	8	in	in	ADP
cana-275	265	9	machine	machine	NOUN
cana-275	265	10	learning	learn	VERB
cana-275	265	11	techniques	technique	NOUN
cana-275	265	12	for	for	ADP
cana-275	265	13	predicting	predict	VERB
cana-275	265	14	chaotic	chaotic	ADJ
cana-275	265	15	behavior	behavior	NOUN
cana-275	265	16	in	in	ADP
cana-275	265	17	nonlinear	nonlinear	ADJ
cana-275	265	18	systems	system	NOUN
cana-275	265	19	,	,	PUNCT
cana-275	265	20	such	such	ADJ
cana-275	265	21	as	as	ADP
cana-275	265	22	cdp	cdp	NOUN
cana-275	265	23	-	-	PUNCT
cana-275	265	24	del	del	ADJ
cana-275	265	25	(	(	PUNCT
cana-275	265	26	chaotic	chaotic	ADJ
cana-275	265	27	dynamics	dynamic	NOUN
cana-275	265	28	prediction	prediction	NOUN
cana-275	265	29	through	through	ADP
cana-275	265	30	deep	deep	ADJ
cana-275	265	31	ensemble	ensemble	ADJ
cana-275	265	32	learning	learning	NOUN
cana-275	265	33	)	)	PUNCT
cana-275	265	34	,	,	PUNCT
cana-275	265	35	offer	offer	VERB
cana-275	265	36	a	a	DET
cana-275	265	37	solution	solution	NOUN
cana-275	265	38	to	to	ADP
cana-275	265	39	the	the	DET
cana-275	265	40	problems	problem	NOUN
cana-275	265	41	of	of	ADP
cana-275	265	42	chaotic	chaotic	ADJ
cana-275	265	43	dynamics	dynamic	NOUN
cana-275	265	44	forecasting	forecasting	NOUN
cana-275	265	45	.	.	PUNCT
cana-275	266	1	since	since	SCONJ
cana-275	266	2	chaotic	chaotic	ADJ
cana-275	266	3	systems	system	NOUN
cana-275	266	4	are	be	AUX
cana-275	266	5	complex	complex	ADJ
cana-275	266	6	and	and	CCONJ
cana-275	266	7	can	can	AUX
cana-275	266	8	arise	arise	VERB
cana-275	266	9	in	in	ADP
cana-275	266	10	many	many	ADJ
cana-275	266	11	different	different	ADJ
cana-275	266	12	contexts	contexts	NOUN
cana-275	266	13	,	,	PUNCT
cana-275	266	14	new	new	ADJ
cana-275	266	15	approaches	approach	NOUN
cana-275	266	16	are	be	AUX
cana-275	266	17	needed	need	VERB
cana-275	266	18	to	to	PART
cana-275	266	19	solve	solve	VERB
cana-275	266	20	them	they	PRON
cana-275	266	21	.	.	PUNCT
cana-275	267	1	cdpdel	cdpdel	PROPN
cana-275	267	2	is	be	AUX
cana-275	267	3	a	a	DET
cana-275	267	4	complete	complete	ADJ
cana-275	267	5	method	method	NOUN
cana-275	267	6	that	that	PRON
cana-275	267	7	combines	combine	VERB
cana-275	267	8	deep	deep	ADJ
cana-275	267	9	learning	learning	NOUN
cana-275	267	10	structures	structure	NOUN
cana-275	267	11	with	with	ADP
cana-275	267	12	ensemble	ensemble	ADJ
cana-275	267	13	learning	learning	NOUN
cana-275	267	14	techniques	technique	NOUN
cana-275	267	15	.	.	PUNCT
cana-275	268	1	an	an	DET
cana-275	268	2	all	all	ADV
cana-275	268	3	-	-	PUNCT
cana-275	268	4	encompassing	encompass	VERB
cana-275	268	5	approach	approach	NOUN
cana-275	268	6	for	for	ADP
cana-275	268	7	anticipating	anticipate	VERB
cana-275	268	8	chaotic	chaotic	ADJ
cana-275	268	9	behavior	behavior	NOUN
cana-275	268	10	,	,	PUNCT
cana-275	268	11	cdp	cdp	NOUN
cana-275	268	12	-	-	ADJ
cana-275	268	13	del	del	ADJ
cana-275	268	14	combines	combine	VERB
cana-275	268	15	feature	feature	NOUN
cana-275	268	16	communications	communication	NOUN
cana-275	268	17	on	on	ADP
cana-275	268	18	applied	apply	VERB
cana-275	268	19	nonlinear	nonlinear	ADJ
cana-275	268	20	analysis	analysis	NOUN
cana-275	268	21	issn	issn	NOUN
cana-275	268	22	:	:	PUNCT
cana-275	268	23	1074	1074	NUM
cana-275	268	24	-	-	PUNCT
cana-275	268	25	133x	133x	NUM
cana-275	268	26	vol	vol	NOUN
cana-275	268	27	30	30	NUM
cana-275	268	28	no	no	NOUN
cana-275	268	29	.	.	NOUN
cana-275	268	30	3	3	NUM
cana-275	268	31	(	(	PUNCT
cana-275	268	32	2023	2023	NUM
cana-275	268	33	)	)	PUNCT
cana-275	269	1	14	14	NUM
cana-275	269	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-275	269	3	engineering	engineering	NOUN
cana-275	269	4	,	,	PUNCT
cana-275	269	5	analysis	analysis	NOUN
cana-275	269	6	of	of	ADP
cana-275	269	7	system	system	NOUN
cana-275	269	8	characteristics	characteristic	NOUN
cana-275	269	9	,	,	PUNCT
cana-275	269	10	and	and	CCONJ
cana-275	269	11	treatment	treatment	NOUN
cana-275	269	12	of	of	ADP
cana-275	269	13	temporal	temporal	ADJ
cana-275	269	14	dependencies	dependency	NOUN
cana-275	269	15	.	.	PUNCT
cana-275	270	1	its	its	PRON
cana-275	270	2	adaptability	adaptability	NOUN
cana-275	270	3	in	in	ADP
cana-275	270	4	several	several	ADJ
cana-275	270	5	domains	domain	NOUN
cana-275	270	6	,	,	PUNCT
cana-275	270	7	including	include	VERB
cana-275	270	8	as	as	ADP
cana-275	270	9	control	control	NOUN
cana-275	270	10	systems	system	NOUN
cana-275	270	11	,	,	PUNCT
cana-275	270	12	ecological	ecological	ADJ
cana-275	270	13	research	research	NOUN
cana-275	270	14	,	,	PUNCT
cana-275	270	15	financial	financial	ADJ
cana-275	270	16	modeling	modeling	NOUN
cana-275	270	17	,	,	PUNCT
cana-275	270	18	and	and	CCONJ
cana-275	270	19	weather	weather	NOUN
cana-275	270	20	forecasting	forecasting	NOUN
cana-275	270	21	,	,	PUNCT
cana-275	270	22	highlights	highlight	VERB
cana-275	270	23	its	its	PRON
cana-275	270	24	potential	potential	ADJ
cana-275	270	25	influence	influence	NOUN
cana-275	270	26	on	on	ADP
cana-275	270	27	decision	decision	NOUN
cana-275	270	28	-	-	PUNCT
cana-275	270	29	making	making	NOUN
cana-275	270	30	in	in	ADP
cana-275	270	31	the	the	DET
cana-275	270	32	face	face	NOUN
cana-275	270	33	of	of	ADP
cana-275	270	34	chaotic	chaotic	ADJ
cana-275	270	35	dynamics	dynamic	NOUN
cana-275	270	36	in	in	ADP
cana-275	270	37	the	the	DET
cana-275	270	38	real	real	ADJ
cana-275	270	39	world	world	NOUN
cana-275	270	40	.	.	PUNCT
cana-275	271	1	people	people	NOUN
cana-275	271	2	can	can	AUX
cana-275	271	3	see	see	VERB
cana-275	271	4	that	that	SCONJ
cana-275	271	5	cdp	cdp	VERB
cana-275	271	6	-	-	PUNCT
cana-275	271	7	del	del	ADJ
cana-275	271	8	outperforms	outperform	NOUN
cana-275	271	9	traditional	traditional	ADJ
cana-275	271	10	approaches	approach	NOUN
cana-275	271	11	in	in	ADP
cana-275	271	12	terms	term	NOUN
cana-275	271	13	of	of	ADP
cana-275	271	14	prediction	prediction	NOUN
cana-275	271	15	accuracy	accuracy	NOUN
cana-275	271	16	in	in	ADP
cana-275	271	17	our	our	PRON
cana-275	271	18	thorough	thorough	ADJ
cana-275	271	19	simulation	simulation	NOUN
cana-275	271	20	tests	test	NOUN
cana-275	271	21	using	use	VERB
cana-275	271	22	benchmark	benchmark	ADJ
cana-275	271	23	chaotic	chaotic	ADJ
cana-275	271	24	systems	system	NOUN
cana-275	271	25	.	.	PUNCT
cana-275	272	1	the	the	DET
cana-275	272	2	study	study	NOUN
cana-275	272	3	provides	provide	VERB
cana-275	272	4	a	a	DET
cana-275	272	5	practical	practical	ADJ
cana-275	272	6	instrument	instrument	NOUN
cana-275	272	7	,	,	PUNCT
cana-275	272	8	cdp	cdp	NOUN
cana-275	272	9	-	-	PUNCT
cana-275	272	10	del	del	ADJ
cana-275	272	11	,	,	PUNCT
cana-275	272	12	for	for	ADP
cana-275	272	13	optimizing	optimize	VERB
cana-275	272	14	decision	decision	NOUN
cana-275	272	15	-	-	PUNCT
cana-275	272	16	making	making	NOUN
cana-275	272	17	in	in	ADP
cana-275	272	18	complicated	complicated	ADJ
cana-275	272	19	settings	setting	NOUN
cana-275	272	20	and	and	CCONJ
cana-275	272	21	adds	add	VERB
cana-275	272	22	to	to	ADP
cana-275	272	23	our	our	PRON
cana-275	272	24	knowledge	knowledge	NOUN
cana-275	272	25	of	of	ADP
cana-275	272	26	chaotic	chaotic	ADJ
cana-275	272	27	systems	system	NOUN
cana-275	272	28	and	and	CCONJ
cana-275	272	29	their	their	PRON
cana-275	272	30	management	management	NOUN
cana-275	272	31	.	.	PUNCT
cana-275	273	1	with	with	ADP
cana-275	273	2	the	the	DET
cana-275	273	3	convergence	convergence	NOUN
cana-275	273	4	of	of	ADP
cana-275	273	5	chaos	chaos	NOUN
cana-275	273	6	theory	theory	NOUN
cana-275	273	7	and	and	CCONJ
cana-275	273	8	machine	machine	NOUN
cana-275	273	9	learning	learning	NOUN
cana-275	273	10	,	,	PUNCT
cana-275	273	11	the	the	DET
cana-275	273	12	incorporation	incorporation	NOUN
cana-275	273	13	of	of	ADP
cana-275	273	14	cdp	cdp	NOUN
cana-275	273	15	-	-	PUNCT
cana-275	273	16	del	del	NOUN
cana-275	273	17	represents	represent	VERB
cana-275	273	18	an	an	DET
cana-275	273	19	encouraging	encouraging	ADJ
cana-275	273	20	development	development	NOUN
cana-275	273	21	towards	towards	ADP
cana-275	273	22	the	the	DET
cana-275	273	23	realization	realization	NOUN
cana-275	273	24	of	of	ADP
cana-275	273	25	the	the	DET
cana-275	273	26	promise	promise	NOUN
cana-275	273	27	of	of	ADP
cana-275	273	28	improved	improved	ADJ
cana-275	273	29	prediction	prediction	NOUN
cana-275	273	30	capabilities	capability	NOUN
cana-275	273	31	when	when	SCONJ
cana-275	273	32	chaotic	chaotic	ADJ
cana-275	273	33	dynamics	dynamic	NOUN
cana-275	273	34	are	be	AUX
cana-275	273	35	present	present	ADJ
cana-275	273	36	.	.	PUNCT
cana-275	274	1	this	this	PRON
cana-275	274	2	could	could	AUX
cana-275	274	3	lead	lead	VERB
cana-275	274	4	to	to	ADP
cana-275	274	5	useful	useful	ADJ
cana-275	274	6	discoveries	discovery	NOUN
cana-275	274	7	in	in	ADP
cana-275	274	8	many	many	ADJ
cana-275	274	9	different	different	ADJ
cana-275	274	10	fields	field	NOUN
cana-275	274	11	,	,	PUNCT
cana-275	274	12	both	both	CCONJ
cana-275	274	13	theoretical	theoretical	ADJ
cana-275	274	14	and	and	CCONJ
cana-275	274	15	applied	apply	VERB
cana-275	274	16	.	.	PUNCT
cana-275	275	1	references	reference	NOUN
cana-275	275	2	[	[	X
cana-275	275	3	1	1	NUM
cana-275	275	4	]	]	PUNCT
cana-275	275	5	tang	tang	NOUN
cana-275	275	6	,	,	PUNCT
cana-275	275	7	y.	y.	NOUN
cana-275	275	8	,	,	PUNCT
cana-275	275	9	kurths	kurth	NOUN
cana-275	275	10	,	,	PUNCT
cana-275	275	11	j.	j.	PROPN
cana-275	275	12	,	,	PUNCT
cana-275	275	13	lin	lin	PROPN
cana-275	275	14	,	,	PUNCT
cana-275	275	15	w.	w.	PROPN
cana-275	275	16	,	,	PUNCT
cana-275	275	17	ott	ott	PROPN
cana-275	275	18	,	,	PUNCT
cana-275	275	19	e.	e.	PROPN
cana-275	275	20	,	,	PUNCT
cana-275	275	21	&	&	CCONJ
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cana-275	275	23	,	,	PUNCT
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cana-275	275	26	2020	2020	NUM
cana-275	275	27	)	)	PUNCT
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cana-275	276	2	to	to	PART
cana-275	276	3	focus	focus	VERB
cana-275	276	4	issue	issue	NOUN
cana-275	276	5	:	:	PUNCT
cana-275	276	6	when	when	SCONJ
cana-275	276	7	machine	machine	NOUN
cana-275	276	8	learning	learning	NOUN
cana-275	276	9	meets	meet	VERB
cana-275	276	10	complex	complex	ADJ
cana-275	276	11	systems	system	NOUN
cana-275	276	12	:	:	PUNCT
cana-275	276	13	networks	network	NOUN
cana-275	276	14	,	,	PUNCT
cana-275	276	15	chaos	chaos	NOUN
cana-275	276	16	,	,	PUNCT
cana-275	276	17	and	and	CCONJ
cana-275	276	18	nonlinear	nonlinear	ADJ
cana-275	276	19	dynamics	dynamic	NOUN
cana-275	276	20	.	.	PUNCT
cana-275	277	1	chaos	chaos	NOUN
cana-275	277	2	:	:	PUNCT
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cana-275	277	7	nonlinear	nonlinear	ADJ
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cana-275	277	9	,	,	PUNCT
cana-275	277	10	30(6	30(6	NUM
cana-275	277	11	)	)	PUNCT
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cana-275	278	7	,	,	PUNCT
cana-275	278	8	canaday	canaday	PROPN
cana-275	278	9	,	,	PUNCT
cana-275	278	10	d.	d.	PROPN
cana-275	278	11	,	,	PUNCT
cana-275	278	12	girvan	girvan	PROPN
cana-275	278	13	,	,	PUNCT
cana-275	278	14	m.	m.	NOUN
cana-275	278	15	,	,	PUNCT
cana-275	278	16	pomerance	pomerance	NOUN
cana-275	278	17	,	,	PUNCT
cana-275	278	18	a.	a.	NOUN
cana-275	278	19	,	,	PUNCT
cana-275	278	20	&	&	CCONJ
cana-275	278	21	ott	ott	PROPN
cana-275	278	22	,	,	PUNCT
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cana-275	278	24	(	(	PUNCT
cana-275	278	25	2021	2021	NUM
cana-275	278	26	)	)	PUNCT
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cana-275	279	11	stationary	stationary	ADJ
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cana-275	279	13	processes	process	NOUN
cana-275	279	14	:	:	PUNCT
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cana-275	279	16	climate	climate	NOUN
cana-275	279	17	,	,	PUNCT
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cana-275	279	19	transitions	transition	NOUN
cana-275	279	20	,	,	PUNCT
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cana-275	279	22	the	the	DET
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cana-275	279	25	stochasticity	stochasticity	NOUN
cana-275	279	26	.	.	PUNCT
cana-275	280	1	chaos	chaos	NOUN
cana-275	280	2	:	:	PUNCT
cana-275	280	3	an	an	DET
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cana-275	280	8	science	science	NOUN
cana-275	280	9	,	,	PUNCT
cana-275	280	10	31(3	31(3	NUM
cana-275	280	11	)	)	PUNCT
cana-275	280	12	.	.	PUNCT
cana-275	281	1	[	[	X
cana-275	281	2	3	3	NUM
cana-275	281	3	]	]	X
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cana-275	281	7	,	,	PUNCT
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cana-275	281	9	,	,	PUNCT
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cana-275	281	11	,	,	PUNCT
cana-275	281	12	&	&	CCONJ
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cana-275	281	14	,	,	PUNCT
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cana-275	281	16	(	(	PUNCT
cana-275	281	17	2020	2020	NUM
cana-275	281	18	)	)	PUNCT
cana-275	281	19	.	.	PUNCT
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cana-275	282	2	models	model	NOUN
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cana-275	282	6	chaotic	chaotic	ADJ
cana-275	282	7	multiscale	multiscale	ADJ
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cana-275	282	10	machine	machine	NOUN
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cana-275	282	12	.	.	PUNCT
cana-275	283	1	physical	physical	ADJ
cana-275	283	2	review	review	PROPN
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cana-275	283	4	,	,	PUNCT
cana-275	283	5	102(5	102(5	NUM
cana-275	283	6	)	)	PUNCT
cana-275	283	7	,	,	PUNCT
cana-275	283	8	052203	052203	NUM
cana-275	283	9	.	.	PUNCT
cana-275	284	1	[	[	X
cana-275	284	2	4	4	NUM
cana-275	284	3	]	]	X
cana-275	284	4	kong	kong	PROPN
cana-275	284	5	,	,	PUNCT
cana-275	284	6	l.	l.	PROPN
cana-275	284	7	w.	w.	PROPN
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cana-275	285	6	transition	transition	NOUN
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cana-275	285	8	system	system	NOUN
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cana-275	285	10	.	.	PUNCT
cana-275	286	1	physical	physical	ADJ
cana-275	286	2	review	review	PROPN
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cana-275	286	4	,	,	PUNCT
cana-275	286	5	3(1	3(1	NUM
cana-275	286	6	)	)	PUNCT
cana-275	286	7	,	,	PUNCT
cana-275	286	8	013090	013090	NUM
cana-275	286	9	.	.	PUNCT
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cana-275	287	3	]	]	SYM
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cana-275	287	20	y.	y.	PROPN
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cana-275	287	22	(	(	PUNCT
cana-275	287	23	2020	2020	NUM
cana-275	287	24	)	)	PUNCT
cana-275	287	25	.	.	PUNCT
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cana-275	288	13	.	.	PUNCT
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cana-275	289	2	:	:	PUNCT
cana-275	289	3	an	an	DET
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cana-275	289	12	.	.	PUNCT
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cana-275	290	3	]	]	PUNCT
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cana-275	290	9	)	)	PUNCT
cana-275	290	10	.	.	PUNCT
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cana-275	291	2	learning	learning	NOUN
cana-275	291	3	in	in	ADP
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cana-275	291	5	-	-	ADJ
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cana-275	291	11	.	.	PUNCT
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cana-275	292	2	topics	topic	NOUN
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cana-275	292	8	-	-	SYM
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cana-275	293	3	]	]	X
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cana-275	293	6	s.	s.	PROPN
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cana-275	293	13	,	,	PUNCT
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cana-275	294	11	-	-	ADJ
cana-275	294	12	linear	linear	ADJ
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cana-275	294	14	.	.	PUNCT
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cana-275	295	12	)	)	PUNCT
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cana-275	296	2	-	-	SYM
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cana-275	298	1	[	[	X
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cana-275	298	3	]	]	SYM
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cana-275	298	5	,	,	PUNCT
cana-275	298	6	t.	t.	PROPN
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cana-275	298	8	dervilis	dervili	NOUN
cana-275	298	9	,	,	PUNCT
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cana-275	298	18	)	)	PUNCT
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cana-275	299	9	nonlinear	nonlinear	ADJ
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cana-275	299	15	networks	network	NOUN
cana-275	299	16	.	.	PUNCT
cana-275	300	1	journal	journal	NOUN
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cana-275	301	20	)	)	PUNCT
cana-275	301	21	.	.	PUNCT
cana-275	302	1	knowledge	knowledge	NOUN
cana-275	302	2	-	-	PUNCT
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cana-275	302	4	learning	learning	NOUN
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cana-275	303	1	chaos	chaos	NOUN
cana-275	303	2	:	:	PUNCT
cana-275	303	3	an	an	DET
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cana-275	303	10	31(11	31(11	NUM
cana-275	303	11	)	)	PUNCT
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cana-275	304	2	10	10	NUM
cana-275	304	3	]	]	X
cana-275	304	4	lahmiri	lahmiri	NOUN
cana-275	304	5	,	,	PUNCT
cana-275	304	6	s.	s.	PROPN
cana-275	304	7	,	,	PUNCT
cana-275	304	8	&	&	CCONJ
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cana-275	304	10	,	,	PUNCT
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cana-275	304	12	(	(	PUNCT
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cana-275	304	14	)	)	PUNCT
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cana-275	307	10	v.	v.	PROPN
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cana-275	309	5	phenomena	phenomenon	NOUN
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cana-275	309	8	,	,	PUNCT
cana-275	309	9	132261	132261	NUM
cana-275	309	10	.	.	PUNCT
cana-275	310	1	communications	communication	NOUN
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cana-275	310	18	)	)	PUNCT
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cana-275	311	8	yamaguchi	yamaguchi	PROPN
cana-275	311	9	,	,	PUNCT
cana-275	311	10	k.	k.	PROPN
cana-275	311	11	,	,	PUNCT
cana-275	311	12	miyazawa	miyazawa	PROPN
cana-275	311	13	,	,	PUNCT
cana-275	311	14	y.	y.	PROPN
cana-275	311	15	,	,	PUNCT
cana-275	311	16	wiebe	wiebe	PROPN
cana-275	311	17	,	,	PUNCT
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cana-275	311	19	,	,	PUNCT
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cana-275	311	22	j.	j.	PROPN
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cana-275	311	24	,	,	PUNCT
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cana-275	311	29	(	(	PUNCT
cana-275	311	30	2020	2020	NUM
cana-275	311	31	)	)	PUNCT
cana-275	311	32	.	.	PUNCT
cana-275	312	1	datadriven	datadriven	VERB
cana-275	312	2	prediction	prediction	NOUN
cana-275	312	3	and	and	CCONJ
cana-275	312	4	analysis	analysis	NOUN
cana-275	312	5	of	of	ADP
cana-275	312	6	chaotic	chaotic	ADJ
cana-275	312	7	origami	origami	NOUN
cana-275	312	8	dynamics	dynamic	NOUN
cana-275	312	9	.	.	PUNCT
cana-275	313	1	communications	communication	NOUN
cana-275	313	2	physics	physics	NOUN
cana-275	313	3	,	,	PUNCT
cana-275	313	4	3(1	3(1	NUM
cana-275	313	5	)	)	PUNCT
cana-275	313	6	,	,	PUNCT
cana-275	313	7	168	168	NUM
cana-275	313	8	.	.	PUNCT
cana-275	314	1	[	[	X
cana-275	314	2	13	13	NUM
cana-275	314	3	]	]	SYM
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cana-275	314	7	u.	u.	PROPN
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cana-275	314	9	choi	choi	NOUN
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cana-275	314	12	,	,	PUNCT
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cana-275	314	22	(	(	PUNCT
cana-275	314	23	2023	2023	NUM
cana-275	314	24	)	)	PUNCT
cana-275	314	25	.	.	PUNCT
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cana-275	315	2	nonlinear	nonlinear	ADJ
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cana-275	315	5	network	network	NOUN
cana-275	315	6	structures	structure	NOUN
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cana-275	315	8	kuramoto	kuramoto	NOUN
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cana-275	315	11	machine	machine	NOUN
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cana-275	315	14	.	.	PUNCT
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cana-275	316	9	,	,	PUNCT
cana-275	316	10	33(7	33(7	NUM
cana-275	316	11	)	)	PUNCT
cana-275	316	12	.	.	PUNCT
cana-275	317	1	[	[	X
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cana-275	317	21	2020	2020	NUM
cana-275	317	22	)	)	PUNCT
cana-275	317	23	.	.	PUNCT
cana-275	318	1	deep	deep	ADJ
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cana-275	318	11	:	:	PUNCT
cana-275	318	12	a	a	DET
cana-275	318	13	comparative	comparative	ADJ
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cana-275	318	15	.	.	PUNCT
cana-275	319	1	chaos	chaos	NOUN
cana-275	319	2	,	,	PUNCT
cana-275	319	3	solitons	soliton	NOUN
cana-275	319	4	&	&	CCONJ
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cana-275	319	8	,	,	PUNCT
cana-275	319	9	110121	110121	NUM
cana-275	319	10	.	.	PUNCT
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cana-275	320	34	)	)	PUNCT
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cana-275	321	5	nonlinear	nonlinear	ADJ
cana-275	321	6	systems	system	NOUN
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cana-275	321	8	continuous	continuous	ADJ
cana-275	321	9	-	-	PUNCT
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cana-275	321	11	echo	echo	NOUN
cana-275	321	12	state	state	NOUN
cana-275	321	13	networks	network	NOUN
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cana-275	323	21	)	)	PUNCT
cana-275	323	22	.	.	PUNCT
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cana-275	327	17	:	:	PUNCT
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cana-275	327	20	,	,	PUNCT
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cana-275	327	22	neural	neural	ADJ
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cana-275	327	31	network	network	NOUN
cana-275	327	32	.	.	PUNCT
cana-275	328	1	nonlinear	nonlinear	ADJ
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cana-275	328	6	27(3	27(3	NUM
cana-275	328	7	)	)	PUNCT
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cana-275	328	10	-	-	SYM
cana-275	328	11	389	389	NUM
cana-275	328	12	.	.	PUNCT
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cana-275	329	2	18	18	NUM
cana-275	329	3	]	]	X
cana-275	329	4	thoai	thoai	X
cana-275	329	5	,	,	PUNCT
cana-275	329	6	v.	v.	PROPN
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cana-275	329	8	,	,	PUNCT
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cana-275	329	30	)	)	PUNCT
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cana-275	331	4	)	)	PUNCT
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cana-275	332	22	,	,	PUNCT
cana-275	332	23	y.	y.	PROPN
cana-275	332	24	c.	c.	PROPN
cana-275	332	25	(	(	PUNCT
cana-275	332	26	2020	2020	NUM
cana-275	332	27	)	)	PUNCT
cana-275	332	28	.	.	PUNCT
cana-275	333	1	long	long	ADJ
cana-275	333	2	-	-	PUNCT
cana-275	333	3	term	term	NOUN
cana-275	333	4	prediction	prediction	NOUN
cana-275	333	5	of	of	ADP
cana-275	333	6	chaotic	chaotic	ADJ
cana-275	333	7	systems	system	NOUN
cana-275	333	8	with	with	ADP
cana-275	333	9	machine	machine	NOUN
cana-275	333	10	learning	learning	NOUN
cana-275	333	11	.	.	PUNCT
cana-275	334	1	physical	physical	ADJ
cana-275	334	2	review	review	PROPN
cana-275	334	3	research	research	NOUN
cana-275	334	4	,	,	PUNCT
cana-275	334	5	2(1	2(1	NUM
cana-275	334	6	)	)	PUNCT
cana-275	334	7	,	,	PUNCT
cana-275	334	8	012080	012080	NUM
cana-275	334	9	.	.	PUNCT
cana-275	335	1	[	[	X
cana-275	335	2	20	20	NUM
cana-275	335	3	]	]	X
cana-275	335	4	amil	amil	PROPN
cana-275	335	5	,	,	PUNCT
cana-275	335	6	p.	p.	PROPN
cana-275	335	7	,	,	PUNCT
cana-275	335	8	soriano	soriano	PROPN
cana-275	335	9	,	,	PUNCT
cana-275	335	10	m.	m.	PROPN
cana-275	335	11	c.	c.	PROPN
cana-275	335	12	,	,	PUNCT
cana-275	335	13	&	&	CCONJ
cana-275	335	14	masoller	masoller	PROPN
cana-275	335	15	,	,	PUNCT
cana-275	335	16	c.	c.	PROPN
cana-275	335	17	(	(	PUNCT
cana-275	335	18	2019	2019	NUM
cana-275	335	19	)	)	PUNCT
cana-275	335	20	.	.	PUNCT
cana-275	336	1	machine	machine	NOUN
cana-275	336	2	learning	learn	VERB
cana-275	336	3	algorithms	algorithm	NOUN
cana-275	336	4	for	for	ADP
cana-275	336	5	predicting	predict	VERB
cana-275	336	6	the	the	DET
cana-275	336	7	amplitude	amplitude	NOUN
cana-275	336	8	of	of	ADP
cana-275	336	9	chaotic	chaotic	ADJ
cana-275	336	10	laser	laser	NOUN
cana-275	336	11	pulses	pulse	NOUN
cana-275	336	12	.	.	PUNCT
cana-275	337	1	chaos	chaos	NOUN
cana-275	337	2	:	:	PUNCT
cana-275	337	3	an	an	DET
cana-275	337	4	interdisciplinary	interdisciplinary	ADJ
cana-275	337	5	journal	journal	NOUN
cana-275	337	6	of	of	ADP
cana-275	337	7	nonlinear	nonlinear	ADJ
cana-275	337	8	science	science	NOUN
cana-275	337	9	,	,	PUNCT
cana-275	337	10	29(11	29(11	NUM
cana-275	337	11	)	)	PUNCT
cana-275	337	12	.	.	PUNCT
cana-275	338	1	[	[	X
cana-275	338	2	21	21	NUM
cana-275	338	3	]	]	X
cana-275	338	4	serrano	serrano	NOUN
cana-275	338	5	-	-	PUNCT
cana-275	338	6	pérez	pérez	NOUN
cana-275	338	7	,	,	PUNCT
cana-275	338	8	j.	j.	PROPN
cana-275	338	9	d.	d.	PROPN
cana-275	338	10	j.	j.	PROPN
cana-275	338	11	,	,	PUNCT
cana-275	338	12	fernández	fernández	PROPN
cana-275	338	13	-	-	PUNCT
cana-275	338	14	anaya	anaya	PROPN
cana-275	338	15	,	,	PUNCT
cana-275	338	16	g.	g.	PROPN
cana-275	338	17	,	,	PUNCT
cana-275	338	18	carrillo	carrillo	PROPN
cana-275	338	19	-	-	PUNCT
cana-275	338	20	moreno	moreno	PROPN
cana-275	338	21	,	,	PUNCT
cana-275	338	22	s.	s.	PROPN
cana-275	338	23	,	,	PUNCT
cana-275	338	24	&	&	CCONJ
cana-275	338	25	yu	yu	PROPN
cana-275	338	26	,	,	PUNCT
cana-275	338	27	w.	w.	PROPN
cana-275	338	28	(	(	PUNCT
cana-275	338	29	2021	2021	NUM
cana-275	338	30	)	)	PUNCT
cana-275	338	31	.	.	PUNCT
cana-275	339	1	new	new	ADJ
cana-275	339	2	results	result	NOUN
cana-275	339	3	for	for	ADP
cana-275	339	4	prediction	prediction	NOUN
cana-275	339	5	of	of	ADP
cana-275	339	6	chaotic	chaotic	ADJ
cana-275	339	7	systems	system	NOUN
cana-275	339	8	using	use	VERB
cana-275	339	9	deep	deep	ADJ
cana-275	339	10	recurrent	recurrent	ADJ
cana-275	339	11	neural	neural	ADJ
cana-275	339	12	networks	network	NOUN
cana-275	339	13	.	.	PUNCT
cana-275	340	1	neural	neural	ADJ
cana-275	340	2	processing	processing	NOUN
cana-275	340	3	letters	letter	NOUN
cana-275	340	4	,	,	PUNCT
cana-275	340	5	53	53	NUM
cana-275	340	6	,	,	PUNCT
cana-275	340	7	1579	1579	NUM
cana-275	340	8	-	-	SYM
cana-275	340	9	1596	1596	NUM
cana-275	340	10	.	.	PUNCT
cana-275	341	1	[	[	X
cana-275	341	2	22	22	NUM
cana-275	341	3	]	]	PUNCT
cana-275	341	4	on	on	ADP
cana-275	341	5	the	the	DET
cana-275	341	6	classification	classification	NOUN
cana-275	341	7	of	of	ADP
cana-275	341	8	fractal	fractal	ADJ
cana-275	341	9	square	square	ADJ
cana-275	341	10	dendrites	dendrite	NOUN
cana-275	341	11	.	.	PUNCT
cana-275	342	1	(	(	PUNCT
cana-275	342	2	2023	2023	NUM
cana-275	342	3	)	)	PUNCT
cana-275	342	4	.	.	PUNCT
cana-275	343	1	advances	advance	NOUN
cana-275	343	2	in	in	ADP
cana-275	343	3	the	the	DET
cana-275	343	4	theory	theory	NOUN
cana-275	343	5	of	of	ADP
cana-275	343	6	nonlinear	nonlinear	ADJ
cana-275	343	7	analysis	analysis	NOUN
cana-275	343	8	and	and	CCONJ
cana-275	343	9	its	its	PRON
cana-275	343	10	application	application	NOUN
cana-275	343	11	,	,	PUNCT
cana-275	343	12	7(3	7(3	NUM
cana-275	343	13	)	)	PUNCT
cana-275	343	14	,	,	PUNCT
cana-275	343	15	79	79	NUM
cana-275	343	16	-	-	SYM
cana-275	343	17	96	96	NUM
cana-275	343	18	.	.	PUNCT