id	sid	tid	token	lemma	pos
ajema-7952	1	1	79	79	NUM
ajema-7952	1	2	journal	journal	NOUN
ajema-7952	1	3	of	of	ADP
ajema-7952	1	4	engineering	engineering	NOUN
ajema-7952	1	5	,	,	PUNCT
ajema-7952	1	6	mechanics	mechanic	NOUN
ajema-7952	1	7	and	and	CCONJ
ajema-7952	1	8	architecture	architecture	NOUN
ajema-7952	1	9	www	www	NOUN
ajema-7952	1	10	.	.	PUNCT
ajema-7952	2	1	grnjournal.us	grnjournal.us	PROPN
ajema-7952	2	2	american	american	PROPN
ajema-7952	2	3	journal	journal	PROPN
ajema-7952	2	4	of	of	ADP
ajema-7952	2	5	engineering	engineering	NOUN
ajema-7952	2	6	,	,	PUNCT
ajema-7952	2	7	mechanics	mechanic	NOUN
ajema-7952	2	8	and	and	CCONJ
ajema-7952	2	9	architecture	architecture	NOUN
ajema-7952	2	10	volume	volume	NOUN
ajema-7952	2	11	3	3	NUM
ajema-7952	2	12	,	,	PUNCT
ajema-7952	2	13	issue	issue	NOUN
ajema-7952	2	14	6	6	NUM
ajema-7952	2	15	,	,	PUNCT
ajema-7952	2	16	2025	2025	NUM
ajema-7952	2	17	issn	issn	X
ajema-7952	2	18	(	(	PUNCT
ajema-7952	2	19	e	e	NOUN
ajema-7952	2	20	):	):	PUNCT
ajema-7952	2	21	2993	2993	NUM
ajema-7952	2	22	-	-	SYM
ajema-7952	2	23	2637	2637	NUM
ajema-7952	2	24	investigation	investigation	NOUN
ajema-7952	2	25	of	of	ADP
ajema-7952	2	26	training	training	NOUN
ajema-7952	2	27	algorithms	algorithm	NOUN
ajema-7952	2	28	for	for	ADP
ajema-7952	2	29	neural	neural	ADJ
ajema-7952	2	30	networks	network	NOUN
ajema-7952	2	31	in	in	ADP
ajema-7952	2	32	nonlinear	nonlinear	ADJ
ajema-7952	2	33	dynamic	dynamic	ADJ
ajema-7952	2	34	systems	systems	PROPN
ajema-7952	2	35	sabirov	sabirov	PROPN
ajema-7952	2	36	ulugbek	ulugbek	PROPN
ajema-7952	2	37	kuchkarovich	kuchkarovich	PROPN
ajema-7952	2	38	associate	associate	PROPN
ajema-7952	2	39	professor	professor	NOUN
ajema-7952	2	40	,	,	PUNCT
ajema-7952	2	41	andijan	andijan	NOUN
ajema-7952	2	42	state	state	PROPN
ajema-7952	2	43	technical	technical	PROPN
ajema-7952	2	44	institute	institute	PROPN
ajema-7952	2	45	uqsabirovasu1951@gmail.com	uqsabirovasu1951@gmail.com	PROPN
ajema-7952	3	1	abstract	abstract	PROPN
ajema-7952	3	2	:	:	PUNCT
ajema-7952	3	3	this	this	DET
ajema-7952	3	4	paper	paper	NOUN
ajema-7952	3	5	explores	explore	VERB
ajema-7952	3	6	various	various	ADJ
ajema-7952	3	7	training	training	NOUN
ajema-7952	3	8	algorithms	algorithm	NOUN
ajema-7952	3	9	for	for	ADP
ajema-7952	3	10	neural	neural	ADJ
ajema-7952	3	11	networks	network	NOUN
ajema-7952	3	12	applied	apply	VERB
ajema-7952	3	13	to	to	ADP
ajema-7952	3	14	the	the	DET
ajema-7952	3	15	modeling	modeling	NOUN
ajema-7952	3	16	and	and	CCONJ
ajema-7952	3	17	control	control	NOUN
ajema-7952	3	18	of	of	ADP
ajema-7952	3	19	nonlinear	nonlinear	ADJ
ajema-7952	3	20	dynamic	dynamic	ADJ
ajema-7952	3	21	systems	system	NOUN
ajema-7952	3	22	.	.	PUNCT
ajema-7952	4	1	nonlinear	nonlinear	ADJ
ajema-7952	4	2	systems	system	NOUN
ajema-7952	4	3	are	be	AUX
ajema-7952	4	4	characterized	characterize	VERB
ajema-7952	4	5	by	by	ADP
ajema-7952	4	6	complexities	complexity	NOUN
ajema-7952	4	7	that	that	PRON
ajema-7952	4	8	linear	linear	NOUN
ajema-7952	4	9	models	model	NOUN
ajema-7952	4	10	can	can	AUX
ajema-7952	4	11	not	not	PART
ajema-7952	4	12	capture	capture	VERB
ajema-7952	4	13	,	,	PUNCT
ajema-7952	4	14	making	make	VERB
ajema-7952	4	15	traditional	traditional	ADJ
ajema-7952	4	16	methods	method	NOUN
ajema-7952	4	17	insufficient	insufficient	ADJ
ajema-7952	4	18	.	.	PUNCT
ajema-7952	5	1	neural	neural	ADJ
ajema-7952	5	2	networks	network	NOUN
ajema-7952	5	3	,	,	PUNCT
ajema-7952	5	4	due	due	ADP
ajema-7952	5	5	to	to	ADP
ajema-7952	5	6	their	their	PRON
ajema-7952	5	7	universal	universal	ADJ
ajema-7952	5	8	approximation	approximation	NOUN
ajema-7952	5	9	capabilities	capability	NOUN
ajema-7952	5	10	,	,	PUNCT
ajema-7952	5	11	have	have	AUX
ajema-7952	5	12	emerged	emerge	VERB
ajema-7952	5	13	as	as	ADP
ajema-7952	5	14	powerful	powerful	ADJ
ajema-7952	5	15	tools	tool	NOUN
ajema-7952	5	16	for	for	ADP
ajema-7952	5	17	learning	learn	VERB
ajema-7952	5	18	complex	complex	ADJ
ajema-7952	5	19	system	system	NOUN
ajema-7952	5	20	behaviors	behavior	NOUN
ajema-7952	5	21	.	.	PUNCT
ajema-7952	6	1	the	the	DET
ajema-7952	6	2	study	study	NOUN
ajema-7952	6	3	compares	compare	VERB
ajema-7952	6	4	several	several	ADJ
ajema-7952	6	5	supervised	supervised	ADJ
ajema-7952	6	6	and	and	CCONJ
ajema-7952	6	7	unsupervised	unsupervised	ADJ
ajema-7952	6	8	training	training	NOUN
ajema-7952	6	9	algorithms	algorithm	NOUN
ajema-7952	6	10	,	,	PUNCT
ajema-7952	6	11	including	include	VERB
ajema-7952	6	12	backpropagation	backpropagation	NOUN
ajema-7952	6	13	,	,	PUNCT
ajema-7952	6	14	levenberg	levenberg	PROPN
ajema-7952	6	15	–	–	PUNCT
ajema-7952	6	16	marquardt	marquardt	PROPN
ajema-7952	6	17	,	,	PUNCT
ajema-7952	6	18	resilient	resilient	ADJ
ajema-7952	6	19	backpropagation	backpropagation	NOUN
ajema-7952	6	20	,	,	PUNCT
ajema-7952	6	21	and	and	CCONJ
ajema-7952	6	22	gradient	gradient	ADJ
ajema-7952	6	23	descent	descent	NOUN
ajema-7952	6	24	with	with	ADP
ajema-7952	6	25	momentum	momentum	NOUN
ajema-7952	6	26	.	.	PUNCT
ajema-7952	7	1	simulation	simulation	NOUN
ajema-7952	7	2	experiments	experiment	NOUN
ajema-7952	7	3	demonstrate	demonstrate	VERB
ajema-7952	7	4	the	the	DET
ajema-7952	7	5	effectiveness	effectiveness	NOUN
ajema-7952	7	6	and	and	CCONJ
ajema-7952	7	7	limitations	limitation	NOUN
ajema-7952	7	8	of	of	ADP
ajema-7952	7	9	each	each	DET
ajema-7952	7	10	method	method	NOUN
ajema-7952	7	11	in	in	ADP
ajema-7952	7	12	dynamic	dynamic	ADJ
ajema-7952	7	13	adaptation	adaptation	NOUN
ajema-7952	7	14	,	,	PUNCT
ajema-7952	7	15	convergence	convergence	NOUN
ajema-7952	7	16	speed	speed	NOUN
ajema-7952	7	17	,	,	PUNCT
ajema-7952	7	18	and	and	CCONJ
ajema-7952	7	19	generalization	generalization	NOUN
ajema-7952	7	20	ability	ability	NOUN
ajema-7952	7	21	.	.	PUNCT
ajema-7952	8	1	the	the	DET
ajema-7952	8	2	findings	finding	NOUN
ajema-7952	8	3	support	support	VERB
ajema-7952	8	4	the	the	DET
ajema-7952	8	5	selection	selection	NOUN
ajema-7952	8	6	of	of	ADP
ajema-7952	8	7	appropriate	appropriate	ADJ
ajema-7952	8	8	algorithms	algorithm	NOUN
ajema-7952	8	9	depending	depend	VERB
ajema-7952	8	10	on	on	ADP
ajema-7952	8	11	the	the	DET
ajema-7952	8	12	system	system	NOUN
ajema-7952	8	13	's	's	PART
ajema-7952	8	14	structure	structure	NOUN
ajema-7952	8	15	and	and	CCONJ
ajema-7952	8	16	real	real	ADJ
ajema-7952	8	17	-	-	PUNCT
ajema-7952	8	18	time	time	NOUN
ajema-7952	8	19	demands	demand	NOUN
ajema-7952	8	20	.	.	PUNCT
ajema-7952	9	1	keywords	keyword	NOUN
ajema-7952	9	2	:	:	PUNCT
ajema-7952	9	3	nonlinear	nonlinear	ADJ
ajema-7952	9	4	systems	system	NOUN
ajema-7952	9	5	,	,	PUNCT
ajema-7952	9	6	neural	neural	ADJ
ajema-7952	9	7	networks	network	NOUN
ajema-7952	9	8	,	,	PUNCT
ajema-7952	9	9	training	training	NOUN
ajema-7952	9	10	algorithms	algorithm	NOUN
ajema-7952	9	11	,	,	PUNCT
ajema-7952	9	12	dynamic	dynamic	ADJ
ajema-7952	9	13	systems	system	NOUN
ajema-7952	9	14	,	,	PUNCT
ajema-7952	9	15	adaptive	adaptive	ADJ
ajema-7952	9	16	modeling	modeling	NOUN
ajema-7952	9	17	,	,	PUNCT
ajema-7952	9	18	backpropagation	backpropagation	NOUN
ajema-7952	9	19	,	,	PUNCT
ajema-7952	9	20	levenberg	levenberg	PROPN
ajema-7952	9	21	–	–	PUNCT
ajema-7952	9	22	marquardt	marquardt	PROPN
ajema-7952	9	23	.	.	PUNCT
ajema-7952	10	1	introduction	introduction	NOUN
ajema-7952	10	2	.	.	PUNCT
ajema-7952	11	1	nonlinear	nonlinear	ADJ
ajema-7952	11	2	dynamic	dynamic	ADJ
ajema-7952	11	3	systems	system	NOUN
ajema-7952	11	4	are	be	AUX
ajema-7952	11	5	prevalent	prevalent	ADJ
ajema-7952	11	6	in	in	ADP
ajema-7952	11	7	many	many	ADJ
ajema-7952	11	8	real	real	ADJ
ajema-7952	11	9	-	-	PUNCT
ajema-7952	11	10	world	world	NOUN
ajema-7952	11	11	applications	application	NOUN
ajema-7952	11	12	,	,	PUNCT
ajema-7952	11	13	ranging	range	VERB
ajema-7952	11	14	from	from	ADP
ajema-7952	11	15	robotics	robotic	NOUN
ajema-7952	11	16	and	and	CCONJ
ajema-7952	11	17	aerospace	aerospace	NOUN
ajema-7952	11	18	engineering	engineering	NOUN
ajema-7952	11	19	to	to	ADP
ajema-7952	11	20	energy	energy	NOUN
ajema-7952	11	21	systems	system	NOUN
ajema-7952	11	22	and	and	CCONJ
ajema-7952	11	23	biomedical	biomedical	ADJ
ajema-7952	11	24	devices	device	NOUN
ajema-7952	11	25	.	.	PUNCT
ajema-7952	12	1	these	these	DET
ajema-7952	12	2	systems	system	NOUN
ajema-7952	12	3	exhibit	exhibit	VERB
ajema-7952	12	4	complex	complex	ADJ
ajema-7952	12	5	behaviors	behavior	NOUN
ajema-7952	12	6	such	such	ADJ
ajema-7952	12	7	as	as	ADP
ajema-7952	12	8	hysteresis	hysteresis	NOUN
ajema-7952	12	9	,	,	PUNCT
ajema-7952	12	10	saturation	saturation	NOUN
ajema-7952	12	11	,	,	PUNCT
ajema-7952	12	12	and	and	CCONJ
ajema-7952	12	13	time	time	NOUN
ajema-7952	12	14	-	-	PUNCT
ajema-7952	12	15	varying	vary	VERB
ajema-7952	12	16	parameters	parameter	NOUN
ajema-7952	12	17	,	,	PUNCT
ajema-7952	12	18	which	which	PRON
ajema-7952	12	19	make	make	VERB
ajema-7952	12	20	their	their	PRON
ajema-7952	12	21	modeling	modeling	NOUN
ajema-7952	12	22	and	and	CCONJ
ajema-7952	12	23	control	control	NOUN
ajema-7952	12	24	particularly	particularly	ADV
ajema-7952	12	25	challenging	challenging	ADJ
ajema-7952	12	26	.	.	PUNCT
ajema-7952	13	1	classical	classical	ADJ
ajema-7952	13	2	identification	identification	NOUN
ajema-7952	13	3	and	and	CCONJ
ajema-7952	13	4	control	control	NOUN
ajema-7952	13	5	techniques	technique	NOUN
ajema-7952	13	6	,	,	PUNCT
ajema-7952	13	7	which	which	PRON
ajema-7952	13	8	rely	rely	VERB
ajema-7952	13	9	on	on	ADP
ajema-7952	13	10	linear	linear	PROPN
ajema-7952	13	11	assumptions	assumption	NOUN
ajema-7952	13	12	,	,	PUNCT
ajema-7952	13	13	often	often	ADV
ajema-7952	13	14	fail	fail	VERB
ajema-7952	13	15	to	to	PART
ajema-7952	13	16	capture	capture	VERB
ajema-7952	13	17	the	the	DET
ajema-7952	13	18	intrinsic	intrinsic	ADJ
ajema-7952	13	19	nonlinearities	nonlinearitie	NOUN
ajema-7952	13	20	of	of	ADP
ajema-7952	13	21	such	such	ADJ
ajema-7952	13	22	systems	system	NOUN
ajema-7952	13	23	.	.	PUNCT
ajema-7952	14	1	as	as	ADP
ajema-7952	14	2	a	a	DET
ajema-7952	14	3	result	result	NOUN
ajema-7952	14	4	,	,	PUNCT
ajema-7952	14	5	there	there	PRON
ajema-7952	14	6	is	be	VERB
ajema-7952	14	7	a	a	DET
ajema-7952	14	8	growing	grow	VERB
ajema-7952	14	9	need	need	NOUN
ajema-7952	14	10	for	for	ADP
ajema-7952	14	11	advanced	advanced	ADJ
ajema-7952	14	12	modeling	modeling	NOUN
ajema-7952	14	13	approaches	approach	NOUN
ajema-7952	14	14	that	that	PRON
ajema-7952	14	15	can	can	AUX
ajema-7952	14	16	handle	handle	VERB
ajema-7952	14	17	the	the	DET
ajema-7952	14	18	inherent	inherent	ADJ
ajema-7952	14	19	complexity	complexity	NOUN
ajema-7952	14	20	and	and	CCONJ
ajema-7952	14	21	uncertainty	uncertainty	NOUN
ajema-7952	14	22	of	of	ADP
ajema-7952	14	23	nonlinear	nonlinear	ADJ
ajema-7952	14	24	dynamics	dynamic	NOUN
ajema-7952	14	25	.	.	PUNCT
ajema-7952	15	1	artificial	artificial	ADJ
ajema-7952	15	2	neural	neural	ADJ
ajema-7952	15	3	networks	network	NOUN
ajema-7952	15	4	(	(	PUNCT
ajema-7952	15	5	anns	anns	PROPN
ajema-7952	15	6	)	)	PUNCT
ajema-7952	15	7	have	have	AUX
ajema-7952	15	8	emerged	emerge	VERB
ajema-7952	15	9	as	as	ADP
ajema-7952	15	10	a	a	DET
ajema-7952	15	11	promising	promising	ADJ
ajema-7952	15	12	solution	solution	NOUN
ajema-7952	15	13	due	due	ADP
ajema-7952	15	14	to	to	ADP
ajema-7952	15	15	their	their	PRON
ajema-7952	15	16	powerful	powerful	ADJ
ajema-7952	15	17	approximation	approximation	NOUN
ajema-7952	15	18	capabilities	capability	NOUN
ajema-7952	15	19	and	and	CCONJ
ajema-7952	15	20	ability	ability	NOUN
ajema-7952	15	21	to	to	PART
ajema-7952	15	22	learn	learn	VERB
ajema-7952	15	23	from	from	ADP
ajema-7952	15	24	data	datum	NOUN
ajema-7952	15	25	without	without	ADP
ajema-7952	15	26	requiring	require	VERB
ajema-7952	15	27	an	an	DET
ajema-7952	15	28	explicit	explicit	ADJ
ajema-7952	15	29	mathematical	mathematical	ADJ
ajema-7952	15	30	model	model	NOUN
ajema-7952	15	31	.	.	PUNCT
ajema-7952	16	1	they	they	PRON
ajema-7952	16	2	can	can	AUX
ajema-7952	16	3	represent	represent	VERB
ajema-7952	16	4	a	a	DET
ajema-7952	16	5	wide	wide	ADJ
ajema-7952	16	6	range	range	NOUN
ajema-7952	16	7	of	of	ADP
ajema-7952	16	8	nonlinear	nonlinear	ADJ
ajema-7952	16	9	mappings	mapping	NOUN
ajema-7952	16	10	and	and	CCONJ
ajema-7952	16	11	adapt	adapt	VERB
ajema-7952	16	12	to	to	ADP
ajema-7952	16	13	dynamic	dynamic	ADJ
ajema-7952	16	14	environments	environment	NOUN
ajema-7952	16	15	,	,	PUNCT
ajema-7952	16	16	making	make	VERB
ajema-7952	16	17	them	they	PRON
ajema-7952	16	18	ideal	ideal	ADJ
ajema-7952	16	19	candidates	candidate	NOUN
ajema-7952	16	20	for	for	ADP
ajema-7952	16	21	modeling	modeling	NOUN
ajema-7952	16	22	,	,	PUNCT
ajema-7952	16	23	prediction	prediction	NOUN
ajema-7952	16	24	,	,	PUNCT
ajema-7952	16	25	and	and	CCONJ
ajema-7952	16	26	control	control	NOUN
ajema-7952	16	27	of	of	ADP
ajema-7952	16	28	nonlinear	nonlinear	ADJ
ajema-7952	16	29	systems	system	NOUN
ajema-7952	16	30	.	.	PUNCT
ajema-7952	17	1	however	however	ADV
ajema-7952	17	2	,	,	PUNCT
ajema-7952	17	3	the	the	DET
ajema-7952	17	4	success	success	NOUN
ajema-7952	17	5	of	of	ADP
ajema-7952	17	6	neural	neural	ADJ
ajema-7952	17	7	network	network	NOUN
ajema-7952	17	8	-	-	PUNCT
ajema-7952	17	9	based	base	VERB
ajema-7952	17	10	modeling	modeling	NOUN
ajema-7952	17	11	heavily	heavily	ADV
ajema-7952	17	12	depends	depend	VERB
ajema-7952	17	13	on	on	ADP
ajema-7952	17	14	the	the	DET
ajema-7952	17	15	choice	choice	NOUN
ajema-7952	17	16	of	of	ADP
ajema-7952	17	17	training	training	NOUN
ajema-7952	17	18	algorithm	algorithm	NOUN
ajema-7952	17	19	.	.	PUNCT
ajema-7952	18	1	an	an	DET
ajema-7952	18	2	efficient	efficient	ADJ
ajema-7952	18	3	training	training	NOUN
ajema-7952	18	4	algorithm	algorithm	NOUN
ajema-7952	18	5	must	must	AUX
ajema-7952	18	6	not	not	PART
ajema-7952	18	7	only	only	ADV
ajema-7952	18	8	minimize	minimize	VERB
ajema-7952	18	9	prediction	prediction	NOUN
ajema-7952	18	10	error	error	NOUN
ajema-7952	18	11	but	but	CCONJ
ajema-7952	18	12	also	also	ADV
ajema-7952	18	13	ensure	ensure	VERB
ajema-7952	18	14	stability	stability	NOUN
ajema-7952	18	15	,	,	PUNCT
ajema-7952	18	16	generalization	generalization	NOUN
ajema-7952	18	17	,	,	PUNCT
ajema-7952	18	18	and	and	CCONJ
ajema-7952	18	19	fast	fast	ADJ
ajema-7952	18	20	convergence	convergence	NOUN
ajema-7952	18	21	.	.	PUNCT
ajema-7952	19	1	over	over	ADP
ajema-7952	19	2	the	the	DET
ajema-7952	19	3	years	year	NOUN
ajema-7952	19	4	,	,	PUNCT
ajema-7952	19	5	numerous	numerous	ADJ
ajema-7952	19	6	training	training	NOUN
ajema-7952	19	7	algorithms	algorithm	NOUN
ajema-7952	19	8	have	have	AUX
ajema-7952	19	9	been	be	AUX
ajema-7952	19	10	proposed	propose	VERB
ajema-7952	19	11	and	and	CCONJ
ajema-7952	19	12	applied	apply	VERB
ajema-7952	19	13	to	to	PART
ajema-7952	19	14	train	train	VERB
ajema-7952	19	15	neural	neural	ADJ
ajema-7952	19	16	networks	network	NOUN
ajema-7952	19	17	,	,	PUNCT
ajema-7952	19	18	including	include	VERB
ajema-7952	19	19	gradient	gradient	ADJ
ajema-7952	19	20	descent	descent	NOUN
ajema-7952	19	21	,	,	PUNCT
ajema-7952	19	22	levenberg	levenberg	PROPN
ajema-7952	19	23	–	–	PUNCT
ajema-7952	19	24	marquardt	marquardt	PROPN
ajema-7952	19	25	(	(	PUNCT
ajema-7952	19	26	lm	lm	PROPN
ajema-7952	19	27	)	)	PUNCT
ajema-7952	19	28	,	,	PUNCT
ajema-7952	19	29	resilient	resilient	ADJ
ajema-7952	19	30	backpropagation	backpropagation	NOUN
ajema-7952	19	31	(	(	PUNCT
ajema-7952	19	32	rprop	rprop	NOUN
ajema-7952	19	33	)	)	PUNCT
ajema-7952	19	34	,	,	PUNCT
ajema-7952	19	35	and	and	CCONJ
ajema-7952	19	36	conjugate	conjugate	VERB
ajema-7952	19	37	gradient	gradient	ADJ
ajema-7952	19	38	methods	method	NOUN
ajema-7952	19	39	.	.	PUNCT
ajema-7952	20	1	each	each	PRON
ajema-7952	20	2	of	of	ADP
ajema-7952	20	3	these	these	DET
ajema-7952	20	4	algorithms	algorithm	NOUN
ajema-7952	20	5	offers	offer	VERB
ajema-7952	20	6	specific	specific	ADJ
ajema-7952	20	7	advantages	advantage	NOUN
ajema-7952	20	8	and	and	CCONJ
ajema-7952	20	9	trade	trade	NOUN
ajema-7952	20	10	-	-	PUNCT
ajema-7952	20	11	offs	off	NOUN
ajema-7952	20	12	in	in	ADP
ajema-7952	20	13	terms	term	NOUN
ajema-7952	20	14	of	of	ADP
ajema-7952	20	15	convergence	convergence	NOUN
ajema-7952	20	16	speed	speed	NOUN
ajema-7952	20	17	,	,	PUNCT
ajema-7952	20	18	computational	computational	ADJ
ajema-7952	20	19	complexity	complexity	NOUN
ajema-7952	20	20	,	,	PUNCT
ajema-7952	20	21	and	and	CCONJ
ajema-7952	20	22	robustness	robustness	NOUN
ajema-7952	20	23	to	to	ADP
ajema-7952	20	24	local	local	ADJ
ajema-7952	20	25	minima	minima	NOUN
ajema-7952	20	26	.	.	PUNCT
ajema-7952	21	1	therefore	therefore	ADV
ajema-7952	21	2	,	,	PUNCT
ajema-7952	21	3	selecting	select	VERB
ajema-7952	21	4	the	the	DET
ajema-7952	21	5	appropriate	appropriate	ADJ
ajema-7952	21	6	training	training	NOUN
ajema-7952	21	7	algorithm	algorithm	NOUN
ajema-7952	21	8	is	be	AUX
ajema-7952	21	9	crucial	crucial	ADJ
ajema-7952	21	10	for	for	ADP
ajema-7952	21	11	achieving	achieve	VERB
ajema-7952	21	12	optimal	optimal	ADJ
ajema-7952	21	13	performance	performance	NOUN
ajema-7952	21	14	in	in	ADP
ajema-7952	21	15	dynamic	dynamic	ADJ
ajema-7952	21	16	and	and	CCONJ
ajema-7952	21	17	nonlinear	nonlinear	ADJ
ajema-7952	21	18	environments	environment	NOUN
ajema-7952	21	19	[	[	X
ajema-7952	21	20	1	1	NUM
ajema-7952	21	21	-	-	SYM
ajema-7952	21	22	3	3	NUM
ajema-7952	21	23	]	]	PUNCT
ajema-7952	21	24	.	.	PUNCT
ajema-7952	22	1	80	80	NUM
ajema-7952	22	2	journal	journal	NOUN
ajema-7952	22	3	of	of	ADP
ajema-7952	22	4	engineering	engineering	NOUN
ajema-7952	22	5	,	,	PUNCT
ajema-7952	22	6	mechanics	mechanic	NOUN
ajema-7952	22	7	and	and	CCONJ
ajema-7952	22	8	architecture	architecture	NOUN
ajema-7952	22	9	www	www	NOUN
ajema-7952	22	10	.	.	PUNCT
ajema-7952	23	1	grnjournal.us	grnjournal.us	X
ajema-7952	23	2	this	this	DET
ajema-7952	23	3	paper	paper	NOUN
ajema-7952	23	4	investigates	investigate	VERB
ajema-7952	23	5	the	the	DET
ajema-7952	23	6	performance	performance	NOUN
ajema-7952	23	7	of	of	ADP
ajema-7952	23	8	various	various	ADJ
ajema-7952	23	9	training	training	NOUN
ajema-7952	23	10	algorithms	algorithm	NOUN
ajema-7952	23	11	in	in	ADP
ajema-7952	23	12	the	the	DET
ajema-7952	23	13	context	context	NOUN
ajema-7952	23	14	of	of	ADP
ajema-7952	23	15	nonlinear	nonlinear	ADJ
ajema-7952	23	16	dynamic	dynamic	ADJ
ajema-7952	23	17	system	system	NOUN
ajema-7952	23	18	modeling	modeling	NOUN
ajema-7952	23	19	.	.	PUNCT
ajema-7952	24	1	by	by	ADP
ajema-7952	24	2	analyzing	analyze	VERB
ajema-7952	24	3	simulation	simulation	NOUN
ajema-7952	24	4	results	result	NOUN
ajema-7952	24	5	,	,	PUNCT
ajema-7952	24	6	we	we	PRON
ajema-7952	24	7	aim	aim	VERB
ajema-7952	24	8	to	to	PART
ajema-7952	24	9	identify	identify	VERB
ajema-7952	24	10	the	the	DET
ajema-7952	24	11	most	most	ADV
ajema-7952	24	12	effective	effective	ADJ
ajema-7952	24	13	algorithms	algorithm	NOUN
ajema-7952	24	14	under	under	ADP
ajema-7952	24	15	different	different	ADJ
ajema-7952	24	16	system	system	NOUN
ajema-7952	24	17	conditions	condition	NOUN
ajema-7952	24	18	and	and	CCONJ
ajema-7952	24	19	provide	provide	VERB
ajema-7952	24	20	recommendations	recommendation	NOUN
ajema-7952	24	21	for	for	ADP
ajema-7952	24	22	their	their	PRON
ajema-7952	24	23	practical	practical	ADJ
ajema-7952	24	24	application	application	NOUN
ajema-7952	24	25	in	in	ADP
ajema-7952	24	26	intelligent	intelligent	ADJ
ajema-7952	24	27	control	control	NOUN
ajema-7952	24	28	systems	system	NOUN
ajema-7952	24	29	.	.	PUNCT
ajema-7952	25	1	methodology	methodology	NOUN
ajema-7952	25	2	.	.	PUNCT
ajema-7952	26	1	to	to	PART
ajema-7952	26	2	investigate	investigate	VERB
ajema-7952	26	3	the	the	DET
ajema-7952	26	4	efficiency	efficiency	NOUN
ajema-7952	26	5	of	of	ADP
ajema-7952	26	6	neural	neural	ADJ
ajema-7952	26	7	network	network	NOUN
ajema-7952	26	8	training	training	NOUN
ajema-7952	26	9	algorithms	algorithm	NOUN
ajema-7952	26	10	in	in	ADP
ajema-7952	26	11	modeling	model	VERB
ajema-7952	26	12	nonlinear	nonlinear	ADJ
ajema-7952	26	13	dynamic	dynamic	ADJ
ajema-7952	26	14	systems	system	NOUN
ajema-7952	26	15	,	,	PUNCT
ajema-7952	26	16	a	a	DET
ajema-7952	26	17	structured	structured	ADJ
ajema-7952	26	18	methodology	methodology	NOUN
ajema-7952	26	19	was	be	AUX
ajema-7952	26	20	developed	develop	VERB
ajema-7952	26	21	,	,	PUNCT
ajema-7952	26	22	encompassing	encompass	VERB
ajema-7952	26	23	data	data	NOUN
ajema-7952	26	24	generation	generation	NOUN
ajema-7952	26	25	,	,	PUNCT
ajema-7952	26	26	neural	neural	ADJ
ajema-7952	26	27	network	network	NOUN
ajema-7952	26	28	architecture	architecture	NOUN
ajema-7952	26	29	selection	selection	NOUN
ajema-7952	26	30	,	,	PUNCT
ajema-7952	26	31	algorithm	algorithm	NOUN
ajema-7952	26	32	implementation	implementation	NOUN
ajema-7952	26	33	,	,	PUNCT
ajema-7952	26	34	and	and	CCONJ
ajema-7952	26	35	performance	performance	NOUN
ajema-7952	26	36	evaluation	evaluation	NOUN
ajema-7952	26	37	.	.	PUNCT
ajema-7952	27	1	the	the	DET
ajema-7952	27	2	first	first	ADJ
ajema-7952	27	3	step	step	NOUN
ajema-7952	27	4	involved	involve	VERB
ajema-7952	27	5	generating	generate	VERB
ajema-7952	27	6	synthetic	synthetic	ADJ
ajema-7952	27	7	data	datum	NOUN
ajema-7952	27	8	from	from	ADP
ajema-7952	27	9	benchmark	benchmark	ADJ
ajema-7952	27	10	nonlinear	nonlinear	ADJ
ajema-7952	27	11	dynamic	dynamic	ADJ
ajema-7952	27	12	systems	system	NOUN
ajema-7952	27	13	commonly	commonly	ADV
ajema-7952	27	14	used	use	VERB
ajema-7952	27	15	in	in	ADP
ajema-7952	27	16	system	system	NOUN
ajema-7952	27	17	identification	identification	NOUN
ajema-7952	27	18	research	research	NOUN
ajema-7952	27	19	.	.	PUNCT
ajema-7952	28	1	these	these	PRON
ajema-7952	28	2	included	include	VERB
ajema-7952	28	3	the	the	DET
ajema-7952	28	4	duffing	duffing	NOUN
ajema-7952	28	5	oscillator	oscillator	NOUN
ajema-7952	28	6	,	,	PUNCT
ajema-7952	28	7	van	van	PROPN
ajema-7952	28	8	der	der	PROPN
ajema-7952	28	9	pol	pol	PROPN
ajema-7952	28	10	oscillator	oscillator	NOUN
ajema-7952	28	11	,	,	PUNCT
ajema-7952	28	12	and	and	CCONJ
ajema-7952	28	13	a	a	DET
ajema-7952	28	14	nonlinear	nonlinear	ADJ
ajema-7952	28	15	inverted	inverted	ADJ
ajema-7952	28	16	pendulum	pendulum	NOUN
ajema-7952	28	17	system	system	NOUN
ajema-7952	28	18	.	.	PUNCT
ajema-7952	29	1	each	each	DET
ajema-7952	29	2	system	system	NOUN
ajema-7952	29	3	was	be	AUX
ajema-7952	29	4	simulated	simulate	VERB
ajema-7952	29	5	over	over	ADP
ajema-7952	29	6	a	a	DET
ajema-7952	29	7	specified	specify	VERB
ajema-7952	29	8	time	time	NOUN
ajema-7952	29	9	range	range	NOUN
ajema-7952	29	10	with	with	ADP
ajema-7952	29	11	varying	vary	VERB
ajema-7952	29	12	initial	initial	ADJ
ajema-7952	29	13	conditions	condition	NOUN
ajema-7952	29	14	to	to	PART
ajema-7952	29	15	ensure	ensure	VERB
ajema-7952	29	16	diverse	diverse	ADJ
ajema-7952	29	17	dynamic	dynamic	ADJ
ajema-7952	29	18	behaviors	behavior	NOUN
ajema-7952	29	19	were	be	AUX
ajema-7952	29	20	captured	capture	VERB
ajema-7952	29	21	.	.	PUNCT
ajema-7952	30	1	the	the	DET
ajema-7952	30	2	inputs	input	NOUN
ajema-7952	30	3	and	and	CCONJ
ajema-7952	30	4	outputs	output	NOUN
ajema-7952	30	5	from	from	ADP
ajema-7952	30	6	these	these	DET
ajema-7952	30	7	simulations	simulation	NOUN
ajema-7952	30	8	served	serve	VERB
ajema-7952	30	9	as	as	ADP
ajema-7952	30	10	the	the	DET
ajema-7952	30	11	training	training	NOUN
ajema-7952	30	12	and	and	CCONJ
ajema-7952	30	13	testing	testing	NOUN
ajema-7952	30	14	datasets	dataset	NOUN
ajema-7952	30	15	for	for	ADP
ajema-7952	30	16	the	the	DET
ajema-7952	30	17	neural	neural	ADJ
ajema-7952	30	18	networks	network	NOUN
ajema-7952	30	19	[	[	X
ajema-7952	30	20	4	4	NUM
ajema-7952	30	21	]	]	PUNCT
ajema-7952	30	22	.	.	PUNCT
ajema-7952	31	1	a	a	DET
ajema-7952	31	2	feedforward	feedforward	ADJ
ajema-7952	31	3	multilayer	multilayer	NOUN
ajema-7952	31	4	perceptron	perceptron	PROPN
ajema-7952	31	5	(	(	PUNCT
ajema-7952	31	6	mlp	mlp	NOUN
ajema-7952	31	7	)	)	PUNCT
ajema-7952	31	8	architecture	architecture	NOUN
ajema-7952	31	9	was	be	AUX
ajema-7952	31	10	chosen	choose	VERB
ajema-7952	31	11	for	for	ADP
ajema-7952	31	12	its	its	PRON
ajema-7952	31	13	wide	wide	ADJ
ajema-7952	31	14	use	use	NOUN
ajema-7952	31	15	and	and	CCONJ
ajema-7952	31	16	effectiveness	effectiveness	NOUN
ajema-7952	31	17	in	in	ADP
ajema-7952	31	18	function	function	NOUN
ajema-7952	31	19	approximation	approximation	NOUN
ajema-7952	31	20	tasks	task	NOUN
ajema-7952	31	21	.	.	PUNCT
ajema-7952	32	1	the	the	DET
ajema-7952	32	2	network	network	NOUN
ajema-7952	32	3	comprised	comprise	VERB
ajema-7952	32	4	an	an	DET
ajema-7952	32	5	input	input	NOUN
ajema-7952	32	6	layer	layer	NOUN
ajema-7952	32	7	(	(	PUNCT
ajema-7952	32	8	corresponding	correspond	VERB
ajema-7952	32	9	to	to	ADP
ajema-7952	32	10	system	system	NOUN
ajema-7952	32	11	inputs	input	NOUN
ajema-7952	32	12	)	)	PUNCT
ajema-7952	32	13	,	,	PUNCT
ajema-7952	32	14	one	one	NUM
ajema-7952	32	15	or	or	CCONJ
ajema-7952	32	16	two	two	NUM
ajema-7952	32	17	hidden	hidden	ADJ
ajema-7952	32	18	layers	layer	NOUN
ajema-7952	32	19	with	with	ADP
ajema-7952	32	20	nonlinear	nonlinear	ADJ
ajema-7952	32	21	activation	activation	NOUN
ajema-7952	32	22	functions	function	NOUN
ajema-7952	32	23	(	(	PUNCT
ajema-7952	32	24	e.g.	e.g.	ADV
ajema-7952	32	25	,	,	PUNCT
ajema-7952	32	26	hyperbolic	hyperbolic	ADJ
ajema-7952	32	27	tangent	tangent	NOUN
ajema-7952	32	28	or	or	CCONJ
ajema-7952	32	29	relu	relu	NOUN
ajema-7952	32	30	)	)	PUNCT
ajema-7952	32	31	,	,	PUNCT
ajema-7952	32	32	and	and	CCONJ
ajema-7952	32	33	an	an	DET
ajema-7952	32	34	output	output	NOUN
ajema-7952	32	35	layer	layer	NOUN
ajema-7952	32	36	representing	represent	VERB
ajema-7952	32	37	the	the	DET
ajema-7952	32	38	system	system	NOUN
ajema-7952	32	39	response	response	NOUN
ajema-7952	32	40	.	.	PUNCT
ajema-7952	33	1	the	the	DET
ajema-7952	33	2	number	number	NOUN
ajema-7952	33	3	of	of	ADP
ajema-7952	33	4	hidden	hide	VERB
ajema-7952	33	5	neurons	neuron	NOUN
ajema-7952	33	6	was	be	AUX
ajema-7952	33	7	selected	select	VERB
ajema-7952	33	8	empirically	empirically	ADV
ajema-7952	33	9	to	to	PART
ajema-7952	33	10	balance	balance	VERB
ajema-7952	33	11	between	between	ADP
ajema-7952	33	12	model	model	NOUN
ajema-7952	33	13	complexity	complexity	NOUN
ajema-7952	33	14	and	and	CCONJ
ajema-7952	33	15	generalization	generalization	NOUN
ajema-7952	33	16	[	[	X
ajema-7952	33	17	5	5	NUM
ajema-7952	33	18	]	]	PUNCT
ajema-7952	33	19	.	.	PUNCT
ajema-7952	34	1	four	four	NUM
ajema-7952	34	2	training	training	NOUN
ajema-7952	34	3	algorithms	algorithm	NOUN
ajema-7952	34	4	were	be	AUX
ajema-7952	34	5	implemented	implement	VERB
ajema-7952	34	6	and	and	CCONJ
ajema-7952	34	7	tested	test	VERB
ajema-7952	34	8	using	use	VERB
ajema-7952	34	9	matlab	matlab	PROPN
ajema-7952	34	10	and	and	CCONJ
ajema-7952	34	11	python	python	NOUN
ajema-7952	34	12	-	-	PUNCT
ajema-7952	34	13	based	base	VERB
ajema-7952	34	14	environments	environment	NOUN
ajema-7952	34	15	:	:	PUNCT
ajema-7952	34	16	standard	standard	ADJ
ajema-7952	34	17	backpropagation	backpropagation	NOUN
ajema-7952	34	18	with	with	ADP
ajema-7952	34	19	gradient	gradient	ADJ
ajema-7952	34	20	descent	descent	NOUN
ajema-7952	34	21	,	,	PUNCT
ajema-7952	34	22	gradient	gradient	ADJ
ajema-7952	34	23	descent	descent	NOUN
ajema-7952	34	24	with	with	ADP
ajema-7952	34	25	momentum	momentum	NOUN
ajema-7952	34	26	,	,	PUNCT
ajema-7952	34	27	the	the	DET
ajema-7952	34	28	levenberg	levenberg	PROPN
ajema-7952	34	29	–	–	PUNCT
ajema-7952	34	30	marquardt	marquardt	PROPN
ajema-7952	34	31	(	(	PUNCT
ajema-7952	34	32	lm	lm	INTJ
ajema-7952	34	33	)	)	PUNCT
ajema-7952	34	34	algorithm	algorithm	NOUN
ajema-7952	34	35	,	,	PUNCT
ajema-7952	34	36	and	and	CCONJ
ajema-7952	34	37	resilient	resilient	ADJ
ajema-7952	34	38	backpropagation	backpropagation	NOUN
ajema-7952	34	39	(	(	PUNCT
ajema-7952	34	40	rprop	rprop	NOUN
ajema-7952	34	41	)	)	PUNCT
ajema-7952	34	42	.	.	PUNCT
ajema-7952	35	1	each	each	DET
ajema-7952	35	2	algorithm	algorithm	NOUN
ajema-7952	35	3	was	be	AUX
ajema-7952	35	4	trained	train	VERB
ajema-7952	35	5	on	on	ADP
ajema-7952	35	6	the	the	DET
ajema-7952	35	7	same	same	ADJ
ajema-7952	35	8	dataset	dataset	NOUN
ajema-7952	35	9	and	and	CCONJ
ajema-7952	35	10	initialized	initialize	VERB
ajema-7952	35	11	with	with	ADP
ajema-7952	35	12	the	the	DET
ajema-7952	35	13	same	same	ADJ
ajema-7952	35	14	random	random	ADJ
ajema-7952	35	15	weights	weight	NOUN
ajema-7952	35	16	to	to	PART
ajema-7952	35	17	ensure	ensure	VERB
ajema-7952	35	18	fair	fair	ADJ
ajema-7952	35	19	comparison	comparison	NOUN
ajema-7952	35	20	.	.	PUNCT
ajema-7952	36	1	performance	performance	NOUN
ajema-7952	36	2	evaluation	evaluation	NOUN
ajema-7952	36	3	was	be	AUX
ajema-7952	36	4	conducted	conduct	VERB
ajema-7952	36	5	using	use	VERB
ajema-7952	36	6	several	several	ADJ
ajema-7952	36	7	quantitative	quantitative	ADJ
ajema-7952	36	8	metrics	metric	NOUN
ajema-7952	36	9	,	,	PUNCT
ajema-7952	36	10	including	include	VERB
ajema-7952	36	11	mean	mean	ADJ
ajema-7952	36	12	squared	square	VERB
ajema-7952	36	13	error	error	NOUN
ajema-7952	36	14	(	(	PUNCT
ajema-7952	36	15	mse	mse	NOUN
ajema-7952	36	16	)	)	PUNCT
ajema-7952	36	17	,	,	PUNCT
ajema-7952	36	18	training	training	NOUN
ajema-7952	36	19	time	time	NOUN
ajema-7952	36	20	,	,	PUNCT
ajema-7952	36	21	convergence	convergence	NOUN
ajema-7952	36	22	speed	speed	NOUN
ajema-7952	36	23	(	(	PUNCT
ajema-7952	36	24	number	number	NOUN
ajema-7952	36	25	of	of	ADP
ajema-7952	36	26	epochs	epoch	NOUN
ajema-7952	36	27	to	to	PART
ajema-7952	36	28	reach	reach	VERB
ajema-7952	36	29	minimal	minimal	ADJ
ajema-7952	36	30	error	error	NOUN
ajema-7952	36	31	)	)	PUNCT
ajema-7952	36	32	,	,	PUNCT
ajema-7952	36	33	and	and	CCONJ
ajema-7952	36	34	generalization	generalization	NOUN
ajema-7952	36	35	error	error	NOUN
ajema-7952	36	36	on	on	ADP
ajema-7952	36	37	test	test	NOUN
ajema-7952	36	38	data	datum	NOUN
ajema-7952	36	39	.	.	PUNCT
ajema-7952	37	1	in	in	ADP
ajema-7952	37	2	addition	addition	NOUN
ajema-7952	37	3	,	,	PUNCT
ajema-7952	37	4	sensitivity	sensitivity	NOUN
ajema-7952	37	5	analysis	analysis	NOUN
ajema-7952	37	6	was	be	AUX
ajema-7952	37	7	performed	perform	VERB
ajema-7952	37	8	to	to	PART
ajema-7952	37	9	study	study	VERB
ajema-7952	37	10	the	the	DET
ajema-7952	37	11	impact	impact	NOUN
ajema-7952	37	12	of	of	ADP
ajema-7952	37	13	algorithm	algorithm	NOUN
ajema-7952	37	14	parameters	parameter	NOUN
ajema-7952	37	15	such	such	ADJ
ajema-7952	37	16	as	as	ADP
ajema-7952	37	17	learning	learn	VERB
ajema-7952	37	18	rate	rate	NOUN
ajema-7952	37	19	,	,	PUNCT
ajema-7952	37	20	momentum	momentum	NOUN
ajema-7952	37	21	constant	constant	ADJ
ajema-7952	37	22	,	,	PUNCT
ajema-7952	37	23	and	and	CCONJ
ajema-7952	37	24	damping	damp	VERB
ajema-7952	37	25	factor	factor	NOUN
ajema-7952	37	26	in	in	ADP
ajema-7952	37	27	lm	lm	PROPN
ajema-7952	38	1	[	[	X
ajema-7952	38	2	6	6	NUM
ajema-7952	38	3	]	]	PUNCT
ajema-7952	38	4	.	.	PUNCT
ajema-7952	39	1	to	to	PART
ajema-7952	39	2	ensure	ensure	VERB
ajema-7952	39	3	robustness	robustness	NOUN
ajema-7952	39	4	and	and	CCONJ
ajema-7952	39	5	reproducibility	reproducibility	NOUN
ajema-7952	39	6	,	,	PUNCT
ajema-7952	39	7	each	each	DET
ajema-7952	39	8	training	training	NOUN
ajema-7952	39	9	experiment	experiment	NOUN
ajema-7952	39	10	was	be	AUX
ajema-7952	39	11	repeated	repeat	VERB
ajema-7952	39	12	multiple	multiple	ADJ
ajema-7952	39	13	times	time	NOUN
ajema-7952	39	14	,	,	PUNCT
ajema-7952	39	15	and	and	CCONJ
ajema-7952	39	16	average	average	ADJ
ajema-7952	39	17	results	result	NOUN
ajema-7952	39	18	were	be	AUX
ajema-7952	39	19	recorded	record	VERB
ajema-7952	39	20	.	.	PUNCT
ajema-7952	40	1	furthermore	furthermore	ADV
ajema-7952	40	2	,	,	PUNCT
ajema-7952	40	3	statistical	statistical	ADJ
ajema-7952	40	4	tests	test	NOUN
ajema-7952	40	5	such	such	ADJ
ajema-7952	40	6	as	as	ADP
ajema-7952	40	7	the	the	DET
ajema-7952	40	8	wilcoxon	wilcoxon	PROPN
ajema-7952	40	9	signedrank	signedrank	PROPN
ajema-7952	40	10	test	test	NOUN
ajema-7952	40	11	were	be	AUX
ajema-7952	40	12	applied	apply	VERB
ajema-7952	40	13	to	to	PART
ajema-7952	40	14	validate	validate	VERB
ajema-7952	40	15	the	the	DET
ajema-7952	40	16	significance	significance	NOUN
ajema-7952	40	17	of	of	ADP
ajema-7952	40	18	differences	difference	NOUN
ajema-7952	40	19	between	between	ADP
ajema-7952	40	20	algorithms	algorithm	NOUN
ajema-7952	40	21	.	.	PUNCT
ajema-7952	41	1	this	this	DET
ajema-7952	41	2	methodological	methodological	ADJ
ajema-7952	41	3	framework	framework	NOUN
ajema-7952	41	4	enables	enable	VERB
ajema-7952	41	5	a	a	DET
ajema-7952	41	6	comprehensive	comprehensive	ADJ
ajema-7952	41	7	assessment	assessment	NOUN
ajema-7952	41	8	of	of	ADP
ajema-7952	41	9	training	training	NOUN
ajema-7952	41	10	algorithms	algorithm	NOUN
ajema-7952	41	11	under	under	ADP
ajema-7952	41	12	dynamic	dynamic	ADJ
ajema-7952	41	13	and	and	CCONJ
ajema-7952	41	14	nonlinear	nonlinear	ADJ
ajema-7952	41	15	conditions	condition	NOUN
ajema-7952	41	16	,	,	PUNCT
ajema-7952	41	17	offering	offer	VERB
ajema-7952	41	18	insights	insight	NOUN
ajema-7952	41	19	into	into	ADP
ajema-7952	41	20	their	their	PRON
ajema-7952	41	21	suitability	suitability	NOUN
ajema-7952	41	22	for	for	ADP
ajema-7952	41	23	intelligent	intelligent	ADJ
ajema-7952	41	24	system	system	NOUN
ajema-7952	41	25	modeling	modeling	NOUN
ajema-7952	41	26	.	.	PUNCT
ajema-7952	42	1	in	in	ADP
ajema-7952	42	2	the	the	DET
ajema-7952	42	3	following	follow	VERB
ajema-7952	42	4	section	section	NOUN
ajema-7952	42	5	,	,	PUNCT
ajema-7952	42	6	we	we	PRON
ajema-7952	42	7	present	present	VERB
ajema-7952	42	8	and	and	CCONJ
ajema-7952	42	9	analyze	analyze	VERB
ajema-7952	42	10	the	the	DET
ajema-7952	42	11	experimental	experimental	ADJ
ajema-7952	42	12	results	result	NOUN
ajema-7952	42	13	obtained	obtain	VERB
ajema-7952	42	14	from	from	ADP
ajema-7952	42	15	this	this	DET
ajema-7952	42	16	procedure	procedure	NOUN
ajema-7952	42	17	.	.	PUNCT
ajema-7952	43	1	results	result	NOUN
ajema-7952	43	2	and	and	CCONJ
ajema-7952	43	3	discussion	discussion	NOUN
ajema-7952	43	4	.	.	PUNCT
ajema-7952	44	1	this	this	DET
ajema-7952	44	2	section	section	NOUN
ajema-7952	44	3	presents	present	VERB
ajema-7952	44	4	the	the	DET
ajema-7952	44	5	experimental	experimental	ADJ
ajema-7952	44	6	outcomes	outcome	NOUN
ajema-7952	44	7	derived	derive	VERB
ajema-7952	44	8	from	from	ADP
ajema-7952	44	9	training	train	VERB
ajema-7952	44	10	neural	neural	ADJ
ajema-7952	44	11	networks	network	NOUN
ajema-7952	44	12	using	use	VERB
ajema-7952	44	13	different	different	ADJ
ajema-7952	44	14	algorithms	algorithm	NOUN
ajema-7952	44	15	and	and	CCONJ
ajema-7952	44	16	evaluates	evaluate	VERB
ajema-7952	44	17	their	their	PRON
ajema-7952	44	18	effectiveness	effectiveness	NOUN
ajema-7952	44	19	in	in	ADP
ajema-7952	44	20	modeling	model	VERB
ajema-7952	44	21	nonlinear	nonlinear	ADJ
ajema-7952	44	22	dynamic	dynamic	ADJ
ajema-7952	44	23	systems	system	NOUN
ajema-7952	44	24	.	.	PUNCT
ajema-7952	45	1	each	each	DET
ajema-7952	45	2	training	training	NOUN
ajema-7952	45	3	algorithm	algorithm	NOUN
ajema-7952	45	4	was	be	AUX
ajema-7952	45	5	applied	apply	VERB
ajema-7952	45	6	to	to	ADP
ajema-7952	45	7	three	three	NUM
ajema-7952	45	8	distinct	distinct	ADJ
ajema-7952	45	9	system	system	NOUN
ajema-7952	45	10	models	model	NOUN
ajema-7952	45	11	:	:	PUNCT
ajema-7952	45	12	the	the	DET
ajema-7952	45	13	duffing	duffing	NOUN
ajema-7952	45	14	oscillator	oscillator	NOUN
ajema-7952	45	15	,	,	PUNCT
ajema-7952	45	16	van	van	PROPN
ajema-7952	45	17	der	der	PROPN
ajema-7952	45	18	pol	pol	PROPN
ajema-7952	45	19	oscillator	oscillator	NOUN
ajema-7952	45	20	,	,	PUNCT
ajema-7952	45	21	and	and	CCONJ
ajema-7952	45	22	the	the	DET
ajema-7952	45	23	nonlinear	nonlinear	ADJ
ajema-7952	45	24	inverted	invert	VERB
ajema-7952	45	25	pendulum	pendulum	NOUN
ajema-7952	45	26	.	.	PUNCT
ajema-7952	46	1	the	the	DET
ajema-7952	46	2	results	result	NOUN
ajema-7952	46	3	were	be	AUX
ajema-7952	46	4	analyzed	analyze	VERB
ajema-7952	46	5	in	in	ADP
ajema-7952	46	6	terms	term	NOUN
ajema-7952	46	7	of	of	ADP
ajema-7952	46	8	accuracy	accuracy	NOUN
ajema-7952	46	9	,	,	PUNCT
ajema-7952	46	10	convergence	convergence	NOUN
ajema-7952	46	11	speed	speed	NOUN
ajema-7952	46	12	,	,	PUNCT
ajema-7952	46	13	stability	stability	NOUN
ajema-7952	46	14	,	,	PUNCT
ajema-7952	46	15	and	and	CCONJ
ajema-7952	46	16	generalization	generalization	NOUN
ajema-7952	46	17	capability	capability	NOUN
ajema-7952	46	18	.	.	PUNCT
ajema-7952	47	1	the	the	DET
ajema-7952	47	2	levenberg	levenberg	PROPN
ajema-7952	47	3	–	–	PUNCT
ajema-7952	47	4	marquardt	marquardt	PROPN
ajema-7952	47	5	(	(	PUNCT
ajema-7952	47	6	lm	lm	INTJ
ajema-7952	47	7	)	)	PUNCT
ajema-7952	47	8	algorithm	algorithm	NOUN
ajema-7952	47	9	consistently	consistently	ADV
ajema-7952	47	10	outperformed	outperform	VERB
ajema-7952	47	11	the	the	DET
ajema-7952	47	12	other	other	ADJ
ajema-7952	47	13	methods	method	NOUN
ajema-7952	47	14	across	across	ADP
ajema-7952	47	15	all	all	DET
ajema-7952	47	16	systems	system	NOUN
ajema-7952	47	17	in	in	ADP
ajema-7952	47	18	terms	term	NOUN
ajema-7952	47	19	of	of	ADP
ajema-7952	47	20	achieving	achieve	VERB
ajema-7952	47	21	the	the	DET
ajema-7952	47	22	lowest	low	ADJ
ajema-7952	47	23	mean	mean	NOUN
ajema-7952	47	24	squared	square	VERB
ajema-7952	47	25	error	error	NOUN
ajema-7952	47	26	.	.	PUNCT
ajema-7952	48	1	for	for	ADP
ajema-7952	48	2	the	the	DET
ajema-7952	48	3	duffing	duffing	NOUN
ajema-7952	48	4	oscillator	oscillator	NOUN
ajema-7952	48	5	,	,	PUNCT
ajema-7952	48	6	the	the	DET
ajema-7952	48	7	lm	lm	ADJ
ajema-7952	48	8	algorithm	algorithm	NOUN
ajema-7952	48	9	reduced	reduce	VERB
ajema-7952	48	10	the	the	DET
ajema-7952	48	11	training	training	NOUN
ajema-7952	48	12	mse	mse	NOUN
ajema-7952	48	13	to	to	ADP
ajema-7952	48	14	0.0013	0.0013	NUM
ajema-7952	48	15	,	,	PUNCT
ajema-7952	48	16	whereas	whereas	SCONJ
ajema-7952	48	17	gradient	gradient	ADJ
ajema-7952	48	18	descent	descent	NOUN
ajema-7952	48	19	achieved	achieve	VERB
ajema-7952	48	20	0.0049	0.0049	NUM
ajema-7952	48	21	,	,	PUNCT
ajema-7952	48	22	and	and	CCONJ
ajema-7952	48	23	resilient	resilient	ADJ
ajema-7952	48	24	backpropagation	backpropagation	NOUN
ajema-7952	48	25	(	(	PUNCT
ajema-7952	48	26	rprop	rprop	NOUN
ajema-7952	48	27	)	)	PUNCT
ajema-7952	48	28	yielded	yield	VERB
ajema-7952	48	29	0.0026	0.0026	NUM
ajema-7952	48	30	.	.	PUNCT
ajema-7952	49	1	similar	similar	ADJ
ajema-7952	49	2	trends	trend	NOUN
ajema-7952	49	3	were	be	AUX
ajema-7952	49	4	observed	observe	VERB
ajema-7952	49	5	in	in	ADP
ajema-7952	49	6	the	the	DET
ajema-7952	49	7	van	van	PROPN
ajema-7952	49	8	der	der	ADJ
ajema-7952	49	9	pol	pol	NOUN
ajema-7952	49	10	and	and	CCONJ
ajema-7952	49	11	inverted	inverted	ADJ
ajema-7952	49	12	pendulum	pendulum	NOUN
ajema-7952	49	13	models	model	NOUN
ajema-7952	49	14	,	,	PUNCT
ajema-7952	49	15	indicating	indicate	VERB
ajema-7952	49	16	that	that	SCONJ
ajema-7952	49	17	lm	lm	PROPN
ajema-7952	49	18	provides	provide	VERB
ajema-7952	49	19	superior	superior	ADJ
ajema-7952	49	20	learning	learning	NOUN
ajema-7952	49	21	accuracy	accuracy	NOUN
ajema-7952	49	22	when	when	SCONJ
ajema-7952	49	23	the	the	DET
ajema-7952	49	24	network	network	NOUN
ajema-7952	49	25	is	be	AUX
ajema-7952	49	26	moderately	moderately	ADV
ajema-7952	49	27	sized	sized	ADJ
ajema-7952	49	28	and	and	CCONJ
ajema-7952	49	29	the	the	DET
ajema-7952	49	30	system	system	NOUN
ajema-7952	49	31	is	be	AUX
ajema-7952	49	32	smooth	smooth	ADJ
ajema-7952	49	33	and	and	CCONJ
ajema-7952	49	34	differentiable	differentiable	VERB
ajema-7952	49	35	[	[	X
ajema-7952	49	36	7	7	NUM
ajema-7952	49	37	]	]	PUNCT
ajema-7952	49	38	.	.	PUNCT
ajema-7952	50	1	81	81	NUM
ajema-7952	50	2	journal	journal	NOUN
ajema-7952	50	3	of	of	ADP
ajema-7952	50	4	engineering	engineering	NOUN
ajema-7952	50	5	,	,	PUNCT
ajema-7952	50	6	mechanics	mechanic	NOUN
ajema-7952	50	7	and	and	CCONJ
ajema-7952	50	8	architecture	architecture	NOUN
ajema-7952	50	9	www	www	NOUN
ajema-7952	50	10	.	.	PUNCT
ajema-7952	51	1	grnjournal.us	grnjournal.us	X
ajema-7952	51	2	training	training	NOUN
ajema-7952	51	3	convergence	convergence	NOUN
ajema-7952	51	4	was	be	AUX
ajema-7952	51	5	measured	measure	VERB
ajema-7952	51	6	by	by	ADP
ajema-7952	51	7	the	the	DET
ajema-7952	51	8	number	number	NOUN
ajema-7952	51	9	of	of	ADP
ajema-7952	51	10	epochs	epoch	NOUN
ajema-7952	51	11	required	require	VERB
ajema-7952	51	12	to	to	PART
ajema-7952	51	13	reach	reach	VERB
ajema-7952	51	14	a	a	DET
ajema-7952	51	15	stable	stable	ADJ
ajema-7952	51	16	error	error	NOUN
ajema-7952	51	17	threshold	threshold	NOUN
ajema-7952	51	18	.	.	PUNCT
ajema-7952	52	1	gradient	gradient	ADJ
ajema-7952	52	2	descent	descent	PROPN
ajema-7952	52	3	exhibited	exhibit	VERB
ajema-7952	52	4	the	the	DET
ajema-7952	52	5	slowest	slow	ADJ
ajema-7952	52	6	convergence	convergence	NOUN
ajema-7952	52	7	,	,	PUNCT
ajema-7952	52	8	requiring	require	VERB
ajema-7952	52	9	over	over	ADP
ajema-7952	52	10	1000	1000	NUM
ajema-7952	52	11	epochs	epoch	NOUN
ajema-7952	52	12	in	in	ADP
ajema-7952	52	13	some	some	DET
ajema-7952	52	14	cases	case	NOUN
ajema-7952	52	15	.	.	PUNCT
ajema-7952	53	1	in	in	ADP
ajema-7952	53	2	contrast	contrast	NOUN
ajema-7952	53	3	,	,	PUNCT
ajema-7952	53	4	the	the	DET
ajema-7952	53	5	lm	lm	ADJ
ajema-7952	53	6	algorithm	algorithm	NOUN
ajema-7952	53	7	converged	converge	VERB
ajema-7952	53	8	within	within	ADP
ajema-7952	53	9	150–200	150–200	NUM
ajema-7952	53	10	epochs	epoch	NOUN
ajema-7952	53	11	for	for	ADP
ajema-7952	53	12	most	most	ADJ
ajema-7952	53	13	systems	system	NOUN
ajema-7952	53	14	,	,	PUNCT
ajema-7952	53	15	demonstrating	demonstrate	VERB
ajema-7952	53	16	faster	fast	ADJ
ajema-7952	53	17	adaptation	adaptation	NOUN
ajema-7952	53	18	.	.	PUNCT
ajema-7952	54	1	rprop	rprop	NOUN
ajema-7952	54	2	also	also	ADV
ajema-7952	54	3	showed	show	VERB
ajema-7952	54	4	significantly	significantly	ADV
ajema-7952	54	5	improved	improve	VERB
ajema-7952	54	6	speed	speed	NOUN
ajema-7952	54	7	compared	compare	VERB
ajema-7952	54	8	to	to	ADP
ajema-7952	54	9	basic	basic	ADJ
ajema-7952	54	10	gradient	gradient	ADJ
ajema-7952	54	11	descent	descent	NOUN
ajema-7952	54	12	,	,	PUNCT
ajema-7952	54	13	often	often	ADV
ajema-7952	54	14	converging	converge	VERB
ajema-7952	54	15	in	in	ADP
ajema-7952	54	16	less	less	ADJ
ajema-7952	54	17	than	than	ADP
ajema-7952	54	18	300	300	NUM
ajema-7952	54	19	epochs	epoch	NOUN
ajema-7952	54	20	,	,	PUNCT
ajema-7952	54	21	making	make	VERB
ajema-7952	54	22	it	it	PRON
ajema-7952	54	23	a	a	DET
ajema-7952	54	24	computationally	computationally	ADV
ajema-7952	54	25	attractive	attractive	ADJ
ajema-7952	54	26	alternative	alternative	NOUN
ajema-7952	54	27	when	when	SCONJ
ajema-7952	54	28	lm	lm	PROPN
ajema-7952	54	29	is	be	AUX
ajema-7952	54	30	infeasible	infeasible	ADJ
ajema-7952	54	31	due	due	ADJ
ajema-7952	54	32	to	to	ADP
ajema-7952	54	33	memory	memory	NOUN
ajema-7952	54	34	limitations	limitation	NOUN
ajema-7952	54	35	[	[	X
ajema-7952	54	36	8	8	NUM
ajema-7952	54	37	]	]	PUNCT
ajema-7952	54	38	.	.	PUNCT
ajema-7952	55	1	although	although	SCONJ
ajema-7952	55	2	lm	lm	PROPN
ajema-7952	55	3	achieved	achieve	VERB
ajema-7952	55	4	the	the	DET
ajema-7952	55	5	best	good	ADJ
ajema-7952	55	6	performance	performance	NOUN
ajema-7952	55	7	on	on	ADP
ajema-7952	55	8	training	training	NOUN
ajema-7952	55	9	data	datum	NOUN
ajema-7952	55	10	,	,	PUNCT
ajema-7952	55	11	it	it	PRON
ajema-7952	55	12	exhibited	exhibit	VERB
ajema-7952	55	13	mild	mild	ADJ
ajema-7952	55	14	signs	sign	NOUN
ajema-7952	55	15	of	of	ADP
ajema-7952	55	16	overfitting	overfitte	VERB
ajema-7952	55	17	on	on	ADP
ajema-7952	55	18	test	test	NOUN
ajema-7952	55	19	data	datum	NOUN
ajema-7952	55	20	,	,	PUNCT
ajema-7952	55	21	especially	especially	ADV
ajema-7952	55	22	when	when	SCONJ
ajema-7952	55	23	the	the	DET
ajema-7952	55	24	network	network	NOUN
ajema-7952	55	25	architecture	architecture	NOUN
ajema-7952	55	26	was	be	AUX
ajema-7952	55	27	complex	complex	ADJ
ajema-7952	55	28	.	.	PUNCT
ajema-7952	56	1	rprop	rprop	NOUN
ajema-7952	56	2	and	and	CCONJ
ajema-7952	56	3	gradient	gradient	ADJ
ajema-7952	56	4	descent	descent	NOUN
ajema-7952	56	5	with	with	ADP
ajema-7952	56	6	momentum	momentum	NOUN
ajema-7952	56	7	offered	offer	VERB
ajema-7952	56	8	more	more	ADJ
ajema-7952	56	9	stable	stable	ADJ
ajema-7952	56	10	generalization	generalization	NOUN
ajema-7952	56	11	behavior	behavior	NOUN
ajema-7952	56	12	across	across	ADP
ajema-7952	56	13	test	test	NOUN
ajema-7952	56	14	scenarios	scenario	NOUN
ajema-7952	56	15	,	,	PUNCT
ajema-7952	56	16	suggesting	suggest	VERB
ajema-7952	56	17	that	that	SCONJ
ajema-7952	56	18	regularization	regularization	NOUN
ajema-7952	56	19	or	or	CCONJ
ajema-7952	56	20	early	early	ADJ
ajema-7952	56	21	stopping	stopping	NOUN
ajema-7952	56	22	is	be	AUX
ajema-7952	56	23	essential	essential	ADJ
ajema-7952	56	24	when	when	SCONJ
ajema-7952	56	25	using	use	VERB
ajema-7952	56	26	lm	lm	INTJ
ajema-7952	56	27	in	in	ADP
ajema-7952	56	28	realworld	realworld	PROPN
ajema-7952	56	29	applications	application	NOUN
ajema-7952	56	30	.	.	PUNCT
ajema-7952	57	1	the	the	DET
ajema-7952	57	2	sensitivity	sensitivity	NOUN
ajema-7952	57	3	analysis	analysis	NOUN
ajema-7952	57	4	revealed	reveal	VERB
ajema-7952	57	5	that	that	SCONJ
ajema-7952	57	6	the	the	DET
ajema-7952	57	7	standard	standard	ADJ
ajema-7952	57	8	gradient	gradient	ADJ
ajema-7952	57	9	descent	descent	NOUN
ajema-7952	57	10	was	be	AUX
ajema-7952	57	11	highly	highly	ADV
ajema-7952	57	12	dependent	dependent	ADJ
ajema-7952	57	13	on	on	ADP
ajema-7952	57	14	the	the	DET
ajema-7952	57	15	choice	choice	NOUN
ajema-7952	57	16	of	of	ADP
ajema-7952	57	17	learning	learn	VERB
ajema-7952	57	18	rate	rate	NOUN
ajema-7952	57	19	.	.	PUNCT
ajema-7952	58	1	a	a	DET
ajema-7952	58	2	poor	poor	ADJ
ajema-7952	58	3	selection	selection	NOUN
ajema-7952	58	4	often	often	ADV
ajema-7952	58	5	led	lead	VERB
ajema-7952	58	6	to	to	ADP
ajema-7952	58	7	divergence	divergence	NOUN
ajema-7952	58	8	or	or	CCONJ
ajema-7952	58	9	extremely	extremely	ADV
ajema-7952	58	10	slow	slow	ADJ
ajema-7952	58	11	convergence	convergence	NOUN
ajema-7952	58	12	.	.	PUNCT
ajema-7952	59	1	on	on	ADP
ajema-7952	59	2	the	the	DET
ajema-7952	59	3	other	other	ADJ
ajema-7952	59	4	hand	hand	NOUN
ajema-7952	59	5	,	,	PUNCT
ajema-7952	59	6	rprop	rprop	NOUN
ajema-7952	59	7	was	be	AUX
ajema-7952	59	8	relatively	relatively	ADV
ajema-7952	59	9	insensitive	insensitive	ADJ
ajema-7952	59	10	to	to	ADP
ajema-7952	59	11	learning	learn	VERB
ajema-7952	59	12	rate	rate	NOUN
ajema-7952	59	13	changes	change	NOUN
ajema-7952	59	14	and	and	CCONJ
ajema-7952	59	15	maintained	maintain	VERB
ajema-7952	59	16	stable	stable	ADJ
ajema-7952	59	17	learning	learn	VERB
ajema-7952	59	18	behavior	behavior	NOUN
ajema-7952	59	19	over	over	ADP
ajema-7952	59	20	a	a	DET
ajema-7952	59	21	wide	wide	ADJ
ajema-7952	59	22	range	range	NOUN
ajema-7952	59	23	of	of	ADP
ajema-7952	59	24	conditions	condition	NOUN
ajema-7952	59	25	.	.	PUNCT
ajema-7952	60	1	the	the	DET
ajema-7952	60	2	lm	lm	PROPN
ajema-7952	60	3	algorithm	algorithm	NOUN
ajema-7952	60	4	required	require	VERB
ajema-7952	60	5	careful	careful	ADJ
ajema-7952	60	6	tuning	tuning	NOUN
ajema-7952	60	7	of	of	ADP
ajema-7952	60	8	the	the	DET
ajema-7952	60	9	damping	damp	VERB
ajema-7952	60	10	factor	factor	NOUN
ajema-7952	60	11	(	(	PUNCT
ajema-7952	60	12	μ	μ	NOUN
ajema-7952	60	13	)	)	PUNCT
ajema-7952	60	14	to	to	PART
ajema-7952	60	15	balance	balance	VERB
ajema-7952	60	16	between	between	ADP
ajema-7952	60	17	the	the	DET
ajema-7952	60	18	gauss	gauss	PROPN
ajema-7952	60	19	–	–	PUNCT
ajema-7952	60	20	newton	newton	PROPN
ajema-7952	60	21	and	and	CCONJ
ajema-7952	60	22	gradient	gradient	ADJ
ajema-7952	60	23	descent	descent	NOUN
ajema-7952	60	24	modes	mode	NOUN
ajema-7952	60	25	[	[	X
ajema-7952	60	26	9	9	NUM
ajema-7952	60	27	]	]	PUNCT
ajema-7952	60	28	.	.	PUNCT
ajema-7952	61	1	the	the	DET
ajema-7952	61	2	generalization	generalization	NOUN
ajema-7952	61	3	capability	capability	NOUN
ajema-7952	61	4	was	be	AUX
ajema-7952	61	5	assessed	assess	VERB
ajema-7952	61	6	by	by	ADP
ajema-7952	61	7	evaluating	evaluate	VERB
ajema-7952	61	8	mse	mse	NOUN
ajema-7952	61	9	on	on	ADP
ajema-7952	61	10	previously	previously	ADV
ajema-7952	61	11	unseen	unseen	ADJ
ajema-7952	61	12	test	test	NOUN
ajema-7952	61	13	data	datum	NOUN
ajema-7952	61	14	.	.	PUNCT
ajema-7952	62	1	rprop	rprop	PROPN
ajema-7952	62	2	demonstrated	demonstrate	VERB
ajema-7952	62	3	the	the	DET
ajema-7952	62	4	highest	high	ADJ
ajema-7952	62	5	robustness	robustness	NOUN
ajema-7952	62	6	,	,	PUNCT
ajema-7952	62	7	maintaining	maintain	VERB
ajema-7952	62	8	a	a	DET
ajema-7952	62	9	low	low	ADJ
ajema-7952	62	10	generalization	generalization	NOUN
ajema-7952	62	11	error	error	NOUN
ajema-7952	62	12	with	with	ADP
ajema-7952	62	13	minimal	minimal	ADJ
ajema-7952	62	14	variance	variance	NOUN
ajema-7952	62	15	across	across	ADP
ajema-7952	62	16	trials	trial	NOUN
ajema-7952	62	17	.	.	PUNCT
ajema-7952	63	1	this	this	DET
ajema-7952	63	2	behavior	behavior	NOUN
ajema-7952	63	3	is	be	AUX
ajema-7952	63	4	attributed	attribute	VERB
ajema-7952	63	5	to	to	ADP
ajema-7952	63	6	its	its	PRON
ajema-7952	63	7	adaptive	adaptive	ADJ
ajema-7952	63	8	weight	weight	NOUN
ajema-7952	63	9	update	update	NOUN
ajema-7952	63	10	strategy	strategy	NOUN
ajema-7952	63	11	,	,	PUNCT
ajema-7952	63	12	which	which	PRON
ajema-7952	63	13	avoids	avoid	VERB
ajema-7952	63	14	large	large	ADJ
ajema-7952	63	15	oscillations	oscillation	NOUN
ajema-7952	63	16	during	during	ADP
ajema-7952	63	17	training	training	NOUN
ajema-7952	63	18	.	.	PUNCT
ajema-7952	64	1	momentum	momentum	NOUN
ajema-7952	64	2	-	-	PUNCT
ajema-7952	64	3	based	base	VERB
ajema-7952	64	4	gradient	gradient	ADJ
ajema-7952	64	5	descent	descent	NOUN
ajema-7952	64	6	also	also	ADV
ajema-7952	64	7	showed	show	VERB
ajema-7952	64	8	improved	improved	ADJ
ajema-7952	64	9	generalization	generalization	NOUN
ajema-7952	64	10	compared	compare	VERB
ajema-7952	64	11	to	to	ADP
ajema-7952	64	12	vanilla	vanilla	NOUN
ajema-7952	64	13	gradient	gradient	ADJ
ajema-7952	64	14	descent	descent	NOUN
ajema-7952	64	15	,	,	PUNCT
ajema-7952	64	16	especially	especially	ADV
ajema-7952	64	17	in	in	ADP
ajema-7952	64	18	systems	system	NOUN
ajema-7952	64	19	with	with	ADP
ajema-7952	64	20	chaotic	chaotic	ADJ
ajema-7952	64	21	dynamics	dynamic	NOUN
ajema-7952	64	22	.	.	PUNCT
ajema-7952	65	1	while	while	SCONJ
ajema-7952	65	2	lm	lm	PROPN
ajema-7952	65	3	proved	prove	VERB
ajema-7952	65	4	to	to	PART
ajema-7952	65	5	be	be	AUX
ajema-7952	65	6	the	the	DET
ajema-7952	65	7	most	most	ADV
ajema-7952	65	8	accurate	accurate	ADJ
ajema-7952	65	9	,	,	PUNCT
ajema-7952	65	10	it	it	PRON
ajema-7952	65	11	was	be	AUX
ajema-7952	65	12	computationally	computationally	ADV
ajema-7952	65	13	expensive	expensive	ADJ
ajema-7952	65	14	due	due	ADP
ajema-7952	65	15	to	to	ADP
ajema-7952	65	16	the	the	DET
ajema-7952	65	17	need	need	NOUN
ajema-7952	65	18	to	to	PART
ajema-7952	65	19	compute	compute	VERB
ajema-7952	65	20	the	the	DET
ajema-7952	65	21	jacobian	jacobian	ADJ
ajema-7952	65	22	matrix	matrix	NOUN
ajema-7952	65	23	and	and	CCONJ
ajema-7952	65	24	its	its	PRON
ajema-7952	65	25	inverse	inverse	NOUN
ajema-7952	65	26	.	.	PUNCT
ajema-7952	66	1	this	this	DET
ajema-7952	66	2	limitation	limitation	NOUN
ajema-7952	66	3	makes	make	VERB
ajema-7952	66	4	lm	lm	X
ajema-7952	66	5	less	less	ADV
ajema-7952	66	6	suitable	suitable	ADJ
ajema-7952	66	7	for	for	ADP
ajema-7952	66	8	largescale	largescale	NOUN
ajema-7952	66	9	systems	system	NOUN
ajema-7952	66	10	or	or	CCONJ
ajema-7952	66	11	real	real	ADJ
ajema-7952	66	12	-	-	PUNCT
ajema-7952	66	13	time	time	NOUN
ajema-7952	66	14	applications	application	NOUN
ajema-7952	66	15	.	.	PUNCT
ajema-7952	67	1	rprop	rprop	NOUN
ajema-7952	67	2	and	and	CCONJ
ajema-7952	67	3	momentum	momentum	NOUN
ajema-7952	67	4	-	-	PUNCT
ajema-7952	67	5	based	base	VERB
ajema-7952	67	6	methods	method	NOUN
ajema-7952	67	7	required	require	VERB
ajema-7952	67	8	significantly	significantly	ADV
ajema-7952	67	9	fewer	few	ADJ
ajema-7952	67	10	resources	resource	NOUN
ajema-7952	67	11	,	,	PUNCT
ajema-7952	67	12	making	make	VERB
ajema-7952	67	13	them	they	PRON
ajema-7952	67	14	more	more	ADV
ajema-7952	67	15	scalable	scalable	ADJ
ajema-7952	67	16	and	and	CCONJ
ajema-7952	67	17	practical	practical	ADJ
ajema-7952	67	18	for	for	ADP
ajema-7952	67	19	embedded	embed	VERB
ajema-7952	67	20	systems	system	NOUN
ajema-7952	67	21	or	or	CCONJ
ajema-7952	67	22	online	online	ADJ
ajema-7952	67	23	learning	learning	NOUN
ajema-7952	67	24	.	.	PUNCT
ajema-7952	68	1	to	to	PART
ajema-7952	68	2	visually	visually	ADV
ajema-7952	68	3	compare	compare	VERB
ajema-7952	68	4	the	the	DET
ajema-7952	68	5	learning	learning	NOUN
ajema-7952	68	6	performance	performance	NOUN
ajema-7952	68	7	,	,	PUNCT
ajema-7952	68	8	the	the	DET
ajema-7952	68	9	training	training	NOUN
ajema-7952	68	10	and	and	CCONJ
ajema-7952	68	11	test	test	NOUN
ajema-7952	68	12	loss	loss	NOUN
ajema-7952	68	13	curves	curve	NOUN
ajema-7952	68	14	were	be	AUX
ajema-7952	68	15	plotted	plot	VERB
ajema-7952	68	16	for	for	ADP
ajema-7952	68	17	each	each	DET
ajema-7952	68	18	algorithm	algorithm	NOUN
ajema-7952	68	19	.	.	PUNCT
ajema-7952	69	1	these	these	DET
ajema-7952	69	2	graphs	graph	NOUN
ajema-7952	69	3	clearly	clearly	ADV
ajema-7952	69	4	showed	show	VERB
ajema-7952	69	5	that	that	SCONJ
ajema-7952	69	6	lm	lm	PROPN
ajema-7952	69	7	reached	reach	VERB
ajema-7952	69	8	the	the	DET
ajema-7952	69	9	lowest	low	ADJ
ajema-7952	69	10	error	error	NOUN
ajema-7952	69	11	the	the	DET
ajema-7952	69	12	fastest	fast	ADJ
ajema-7952	69	13	but	but	CCONJ
ajema-7952	69	14	had	have	VERB
ajema-7952	69	15	sharp	sharp	ADJ
ajema-7952	69	16	increases	increase	NOUN
ajema-7952	69	17	in	in	ADP
ajema-7952	69	18	validation	validation	NOUN
ajema-7952	69	19	loss	loss	NOUN
ajema-7952	69	20	in	in	ADP
ajema-7952	69	21	some	some	DET
ajema-7952	69	22	runs	run	NOUN
ajema-7952	69	23	,	,	PUNCT
ajema-7952	69	24	highlighting	highlight	VERB
ajema-7952	69	25	potential	potential	ADJ
ajema-7952	69	26	overfitting	overfitting	NOUN
ajema-7952	69	27	.	.	PUNCT
ajema-7952	70	1	in	in	ADP
ajema-7952	70	2	contrast	contrast	NOUN
ajema-7952	70	3	,	,	PUNCT
ajema-7952	70	4	rprop	rprop	PROPN
ajema-7952	70	5	maintained	maintain	VERB
ajema-7952	70	6	a	a	DET
ajema-7952	70	7	smooth	smooth	ADJ
ajema-7952	70	8	and	and	CCONJ
ajema-7952	70	9	stable	stable	ADJ
ajema-7952	70	10	loss	loss	NOUN
ajema-7952	70	11	curve	curve	NOUN
ajema-7952	70	12	,	,	PUNCT
ajema-7952	70	13	indicating	indicate	VERB
ajema-7952	70	14	balanced	balanced	ADJ
ajema-7952	70	15	learning	learning	NOUN
ajema-7952	70	16	.	.	PUNCT
ajema-7952	71	1	these	these	DET
ajema-7952	71	2	results	result	NOUN
ajema-7952	71	3	suggest	suggest	VERB
ajema-7952	71	4	that	that	SCONJ
ajema-7952	71	5	there	there	PRON
ajema-7952	71	6	is	be	VERB
ajema-7952	71	7	no	no	DET
ajema-7952	71	8	universally	universally	ADV
ajema-7952	71	9	superior	superior	ADJ
ajema-7952	71	10	algorithm	algorithm	NOUN
ajema-7952	71	11	;	;	PUNCT
ajema-7952	71	12	the	the	DET
ajema-7952	71	13	optimal	optimal	ADJ
ajema-7952	71	14	choice	choice	NOUN
ajema-7952	71	15	depends	depend	VERB
ajema-7952	71	16	on	on	ADP
ajema-7952	71	17	the	the	DET
ajema-7952	71	18	specific	specific	ADJ
ajema-7952	71	19	application	application	NOUN
ajema-7952	71	20	,	,	PUNCT
ajema-7952	71	21	available	available	ADJ
ajema-7952	71	22	computational	computational	ADJ
ajema-7952	71	23	resources	resource	NOUN
ajema-7952	71	24	,	,	PUNCT
ajema-7952	71	25	and	and	CCONJ
ajema-7952	71	26	system	system	NOUN
ajema-7952	71	27	complexity	complexity	NOUN
ajema-7952	71	28	.	.	PUNCT
ajema-7952	72	1	for	for	ADP
ajema-7952	72	2	offline	offline	ADJ
ajema-7952	72	3	,	,	PUNCT
ajema-7952	72	4	high	high	ADJ
ajema-7952	72	5	-	-	PUNCT
ajema-7952	72	6	accuracy	accuracy	NOUN
ajema-7952	72	7	applications	application	NOUN
ajema-7952	72	8	,	,	PUNCT
ajema-7952	72	9	lm	lm	X
ajema-7952	72	10	is	be	AUX
ajema-7952	72	11	preferable	preferable	ADJ
ajema-7952	72	12	.	.	PUNCT
ajema-7952	73	1	for	for	ADP
ajema-7952	73	2	online	online	ADV
ajema-7952	73	3	or	or	CCONJ
ajema-7952	73	4	constrained	constrained	ADJ
ajema-7952	73	5	systems	system	NOUN
ajema-7952	73	6	,	,	PUNCT
ajema-7952	73	7	rprop	rprop	NOUN
ajema-7952	73	8	offers	offer	VERB
ajema-7952	73	9	a	a	DET
ajema-7952	73	10	good	good	ADJ
ajema-7952	73	11	compromise	compromise	NOUN
ajema-7952	73	12	between	between	ADP
ajema-7952	73	13	performance	performance	NOUN
ajema-7952	73	14	and	and	CCONJ
ajema-7952	73	15	efficiency	efficiency	NOUN
ajema-7952	73	16	[	[	X
ajema-7952	73	17	10	10	NUM
ajema-7952	73	18	]	]	PUNCT
ajema-7952	73	19	.	.	PUNCT
ajema-7952	74	1	82	82	NUM
ajema-7952	74	2	journal	journal	NOUN
ajema-7952	74	3	of	of	ADP
ajema-7952	74	4	engineering	engineering	NOUN
ajema-7952	74	5	,	,	PUNCT
ajema-7952	74	6	mechanics	mechanic	NOUN
ajema-7952	74	7	and	and	CCONJ
ajema-7952	74	8	architecture	architecture	NOUN
ajema-7952	74	9	www	www	NOUN
ajema-7952	74	10	.	.	PROPN
ajema-7952	75	1	grnjournal.us	grnjournal.us	X
ajema-7952	75	2	figure-1	figure-1	PROPN
ajema-7952	75	3	.	.	PUNCT
ajema-7952	76	1	comparison	comparison	NOUN
ajema-7952	76	2	of	of	ADP
ajema-7952	76	3	training	training	NOUN
ajema-7952	76	4	performance	performance	NOUN
ajema-7952	76	5	of	of	ADP
ajema-7952	76	6	different	different	ADJ
ajema-7952	76	7	neural	neural	ADJ
ajema-7952	76	8	network	network	NOUN
ajema-7952	76	9	algorithms	algorithm	NOUN
ajema-7952	76	10	in	in	ADP
ajema-7952	76	11	modeling	model	VERB
ajema-7952	76	12	nonlinear	nonlinear	ADJ
ajema-7952	76	13	dynamic	dynamic	ADJ
ajema-7952	76	14	systems	system	NOUN
ajema-7952	76	15	.	.	PUNCT
ajema-7952	77	1	the	the	DET
ajema-7952	77	2	plot	plot	NOUN
ajema-7952	77	3	illustrates	illustrate	VERB
ajema-7952	77	4	the	the	DET
ajema-7952	77	5	decrease	decrease	NOUN
ajema-7952	77	6	in	in	ADP
ajema-7952	77	7	mean	mean	VERB
ajema-7952	77	8	squared	square	VERB
ajema-7952	77	9	error	error	NOUN
ajema-7952	77	10	(	(	PUNCT
ajema-7952	77	11	mse	mse	NOUN
ajema-7952	77	12	)	)	PUNCT
ajema-7952	77	13	across	across	ADP
ajema-7952	77	14	training	training	NOUN
ajema-7952	77	15	epochs	epoch	NOUN
ajema-7952	77	16	for	for	ADP
ajema-7952	77	17	four	four	NUM
ajema-7952	77	18	learning	learn	VERB
ajema-7952	77	19	algorithms	algorithm	NOUN
ajema-7952	77	20	:	:	PUNCT
ajema-7952	77	21	gradient	gradient	ADJ
ajema-7952	77	22	descent	descent	NOUN
ajema-7952	77	23	,	,	PUNCT
ajema-7952	77	24	gradient	gradient	ADJ
ajema-7952	77	25	descent	descent	NOUN
ajema-7952	77	26	with	with	ADP
ajema-7952	77	27	momentum	momentum	NOUN
ajema-7952	77	28	,	,	PUNCT
ajema-7952	77	29	resilient	resilient	ADJ
ajema-7952	77	30	backpropagation	backpropagation	NOUN
ajema-7952	77	31	(	(	PUNCT
ajema-7952	77	32	rprop	rprop	NOUN
ajema-7952	77	33	)	)	PUNCT
ajema-7952	77	34	,	,	PUNCT
ajema-7952	77	35	and	and	CCONJ
ajema-7952	77	36	levenberg	levenberg	PROPN
ajema-7952	77	37	–	–	PUNCT
ajema-7952	77	38	marquardt	marquardt	PROPN
ajema-7952	77	39	(	(	PUNCT
ajema-7952	77	40	lm	lm	PROPN
ajema-7952	77	41	)	)	PUNCT
ajema-7952	77	42	.	.	PUNCT
ajema-7952	78	1	among	among	ADP
ajema-7952	78	2	them	they	PRON
ajema-7952	78	3	,	,	PUNCT
ajema-7952	78	4	the	the	DET
ajema-7952	78	5	lm	lm	ADJ
ajema-7952	78	6	algorithm	algorithm	NOUN
ajema-7952	78	7	demonstrates	demonstrate	VERB
ajema-7952	78	8	the	the	DET
ajema-7952	78	9	fastest	fast	ADJ
ajema-7952	78	10	and	and	CCONJ
ajema-7952	78	11	most	most	ADV
ajema-7952	78	12	accurate	accurate	ADJ
ajema-7952	78	13	convergence	convergence	NOUN
ajema-7952	78	14	,	,	PUNCT
ajema-7952	78	15	while	while	SCONJ
ajema-7952	78	16	rprop	rprop	NOUN
ajema-7952	78	17	maintains	maintain	VERB
ajema-7952	78	18	a	a	DET
ajema-7952	78	19	stable	stable	ADJ
ajema-7952	78	20	and	and	CCONJ
ajema-7952	78	21	efficient	efficient	ADJ
ajema-7952	78	22	learning	learning	NOUN
ajema-7952	78	23	process	process	NOUN
ajema-7952	78	24	.	.	PUNCT
ajema-7952	79	1	momentum	momentum	NOUN
ajema-7952	79	2	-	-	PUNCT
ajema-7952	79	3	based	base	VERB
ajema-7952	79	4	gd	gd	PROPN
ajema-7952	79	5	improves	improve	VERB
ajema-7952	79	6	over	over	ADP
ajema-7952	79	7	basic	basic	ADJ
ajema-7952	79	8	gd	gd	NOUN
ajema-7952	79	9	,	,	PUNCT
ajema-7952	79	10	but	but	CCONJ
ajema-7952	79	11	both	both	PRON
ajema-7952	79	12	are	be	AUX
ajema-7952	79	13	outperformed	outperform	VERB
ajema-7952	79	14	by	by	ADP
ajema-7952	79	15	the	the	DET
ajema-7952	79	16	more	more	ADV
ajema-7952	79	17	advanced	advanced	ADJ
ajema-7952	79	18	algorithms	algorithm	NOUN
ajema-7952	79	19	in	in	ADP
ajema-7952	79	20	terms	term	NOUN
ajema-7952	79	21	of	of	ADP
ajema-7952	79	22	convergence	convergence	NOUN
ajema-7952	79	23	speed	speed	NOUN
ajema-7952	79	24	and	and	CCONJ
ajema-7952	79	25	accuracy	accuracy	NOUN
ajema-7952	79	26	.	.	PUNCT
ajema-7952	80	1	conclusion	conclusion	NOUN
ajema-7952	80	2	.	.	PUNCT
ajema-7952	81	1	this	this	DET
ajema-7952	81	2	study	study	NOUN
ajema-7952	81	3	presents	present	VERB
ajema-7952	81	4	a	a	DET
ajema-7952	81	5	comprehensive	comprehensive	ADJ
ajema-7952	81	6	investigation	investigation	NOUN
ajema-7952	81	7	of	of	ADP
ajema-7952	81	8	various	various	ADJ
ajema-7952	81	9	neural	neural	ADJ
ajema-7952	81	10	network	network	NOUN
ajema-7952	81	11	training	training	NOUN
ajema-7952	81	12	algorithms	algorithm	NOUN
ajema-7952	81	13	applied	apply	VERB
ajema-7952	81	14	to	to	ADP
ajema-7952	81	15	the	the	DET
ajema-7952	81	16	modeling	modeling	NOUN
ajema-7952	81	17	of	of	ADP
ajema-7952	81	18	nonlinear	nonlinear	ADJ
ajema-7952	81	19	dynamic	dynamic	ADJ
ajema-7952	81	20	systems	system	NOUN
ajema-7952	81	21	.	.	PUNCT
ajema-7952	82	1	by	by	ADP
ajema-7952	82	2	evaluating	evaluate	VERB
ajema-7952	82	3	the	the	DET
ajema-7952	82	4	performance	performance	NOUN
ajema-7952	82	5	of	of	ADP
ajema-7952	82	6	standard	standard	ADJ
ajema-7952	82	7	backpropagation	backpropagation	NOUN
ajema-7952	82	8	,	,	PUNCT
ajema-7952	82	9	momentum	momentum	NOUN
ajema-7952	82	10	-	-	PUNCT
ajema-7952	82	11	based	base	VERB
ajema-7952	82	12	gradient	gradient	ADJ
ajema-7952	82	13	descent	descent	NOUN
ajema-7952	82	14	,	,	PUNCT
ajema-7952	82	15	resilient	resilient	ADJ
ajema-7952	82	16	backpropagation	backpropagation	NOUN
ajema-7952	82	17	(	(	PUNCT
ajema-7952	82	18	rprop	rprop	NOUN
ajema-7952	82	19	)	)	PUNCT
ajema-7952	82	20	,	,	PUNCT
ajema-7952	82	21	and	and	CCONJ
ajema-7952	82	22	the	the	DET
ajema-7952	82	23	levenberg	levenberg	PROPN
ajema-7952	82	24	–	–	PUNCT
ajema-7952	82	25	marquardt	marquardt	PROPN
ajema-7952	82	26	(	(	PUNCT
ajema-7952	82	27	lm	lm	PROPN
ajema-7952	82	28	)	)	PUNCT
ajema-7952	82	29	algorithm	algorithm	NOUN
ajema-7952	82	30	across	across	ADP
ajema-7952	82	31	multiple	multiple	ADJ
ajema-7952	82	32	benchmark	benchmark	NOUN
ajema-7952	82	33	systems	system	NOUN
ajema-7952	82	34	,	,	PUNCT
ajema-7952	82	35	we	we	PRON
ajema-7952	82	36	derived	derive	VERB
ajema-7952	82	37	valuable	valuable	ADJ
ajema-7952	82	38	insights	insight	NOUN
ajema-7952	82	39	into	into	ADP
ajema-7952	82	40	the	the	DET
ajema-7952	82	41	strengths	strength	NOUN
ajema-7952	82	42	and	and	CCONJ
ajema-7952	82	43	limitations	limitation	NOUN
ajema-7952	82	44	of	of	ADP
ajema-7952	82	45	each	each	DET
ajema-7952	82	46	method	method	NOUN
ajema-7952	82	47	.	.	PUNCT
ajema-7952	83	1	the	the	DET
ajema-7952	83	2	results	result	NOUN
ajema-7952	83	3	demonstrate	demonstrate	VERB
ajema-7952	83	4	that	that	SCONJ
ajema-7952	83	5	the	the	DET
ajema-7952	83	6	levenberg	levenberg	PROPN
ajema-7952	83	7	–	–	PUNCT
ajema-7952	83	8	marquardt	marquardt	PROPN
ajema-7952	83	9	algorithm	algorithm	NOUN
ajema-7952	83	10	is	be	AUX
ajema-7952	83	11	highly	highly	ADV
ajema-7952	83	12	effective	effective	ADJ
ajema-7952	83	13	in	in	ADP
ajema-7952	83	14	achieving	achieve	VERB
ajema-7952	83	15	minimal	minimal	ADJ
ajema-7952	83	16	training	training	NOUN
ajema-7952	83	17	error	error	NOUN
ajema-7952	83	18	and	and	CCONJ
ajema-7952	83	19	fast	fast	ADJ
ajema-7952	83	20	convergence	convergence	NOUN
ajema-7952	83	21	,	,	PUNCT
ajema-7952	83	22	making	make	VERB
ajema-7952	83	23	it	it	PRON
ajema-7952	83	24	suitable	suitable	ADJ
ajema-7952	83	25	for	for	ADP
ajema-7952	83	26	applications	application	NOUN
ajema-7952	83	27	requiring	require	VERB
ajema-7952	83	28	highprecision	highprecision	NOUN
ajema-7952	83	29	offline	offline	ADJ
ajema-7952	83	30	modeling	modeling	NOUN
ajema-7952	83	31	.	.	PUNCT
ajema-7952	84	1	however	however	ADV
ajema-7952	84	2	,	,	PUNCT
ajema-7952	84	3	its	its	PRON
ajema-7952	84	4	computational	computational	ADJ
ajema-7952	84	5	intensity	intensity	NOUN
ajema-7952	84	6	and	and	CCONJ
ajema-7952	84	7	susceptibility	susceptibility	NOUN
ajema-7952	84	8	to	to	ADP
ajema-7952	84	9	overfitting	overfitte	VERB
ajema-7952	84	10	in	in	ADP
ajema-7952	84	11	complex	complex	ADJ
ajema-7952	84	12	networks	network	NOUN
ajema-7952	84	13	necessitate	necessitate	ADJ
ajema-7952	84	14	cautious	cautious	ADJ
ajema-7952	84	15	parameter	parameter	NOUN
ajema-7952	84	16	tuning	tuning	NOUN
ajema-7952	84	17	and	and	CCONJ
ajema-7952	84	18	the	the	DET
ajema-7952	84	19	application	application	NOUN
ajema-7952	84	20	of	of	ADP
ajema-7952	84	21	regularization	regularization	NOUN
ajema-7952	84	22	techniques	technique	NOUN
ajema-7952	84	23	.	.	PUNCT
ajema-7952	85	1	on	on	ADP
ajema-7952	85	2	the	the	DET
ajema-7952	85	3	other	other	ADJ
ajema-7952	85	4	hand	hand	NOUN
ajema-7952	85	5	,	,	PUNCT
ajema-7952	85	6	resilient	resilient	ADJ
ajema-7952	85	7	backpropagation	backpropagation	NOUN
ajema-7952	85	8	emerged	emerge	VERB
ajema-7952	85	9	as	as	ADP
ajema-7952	85	10	a	a	DET
ajema-7952	85	11	robust	robust	ADJ
ajema-7952	85	12	and	and	CCONJ
ajema-7952	85	13	efficient	efficient	ADJ
ajema-7952	85	14	alternative	alternative	NOUN
ajema-7952	85	15	,	,	PUNCT
ajema-7952	85	16	especially	especially	ADV
ajema-7952	85	17	in	in	ADP
ajema-7952	85	18	scenarios	scenario	NOUN
ajema-7952	85	19	with	with	ADP
ajema-7952	85	20	limited	limited	ADJ
ajema-7952	85	21	computational	computational	ADJ
ajema-7952	85	22	resources	resource	NOUN
ajema-7952	85	23	or	or	CCONJ
ajema-7952	85	24	online	online	ADJ
ajema-7952	85	25	adaptation	adaptation	NOUN
ajema-7952	85	26	requirements	requirement	NOUN
ajema-7952	85	27	.	.	PUNCT
ajema-7952	86	1	it	it	PRON
ajema-7952	86	2	provided	provide	VERB
ajema-7952	86	3	a	a	DET
ajema-7952	86	4	stable	stable	ADJ
ajema-7952	86	5	learning	learning	NOUN
ajema-7952	86	6	process	process	NOUN
ajema-7952	86	7	,	,	PUNCT
ajema-7952	86	8	good	good	ADJ
ajema-7952	86	9	generalization	generalization	NOUN
ajema-7952	86	10	to	to	ADP
ajema-7952	86	11	unseen	unseen	ADJ
ajema-7952	86	12	data	datum	NOUN
ajema-7952	86	13	,	,	PUNCT
ajema-7952	86	14	and	and	CCONJ
ajema-7952	86	15	required	require	VERB
ajema-7952	86	16	minimal	minimal	ADJ
ajema-7952	86	17	tuning	tuning	NOUN
ajema-7952	86	18	.	.	PUNCT
ajema-7952	87	1	momentum	momentum	NOUN
ajema-7952	87	2	-	-	PUNCT
ajema-7952	87	3	based	base	VERB
ajema-7952	87	4	gradient	gradient	ADJ
ajema-7952	87	5	descent	descent	NOUN
ajema-7952	87	6	also	also	ADV
ajema-7952	87	7	showed	show	VERB
ajema-7952	87	8	improved	improved	ADJ
ajema-7952	87	9	learning	learn	VERB
ajema-7952	87	10	stability	stability	NOUN
ajema-7952	87	11	and	and	CCONJ
ajema-7952	87	12	generalization	generalization	NOUN
ajema-7952	87	13	over	over	ADP
ajema-7952	87	14	basic	basic	ADJ
ajema-7952	87	15	gradient	gradient	ADJ
ajema-7952	87	16	descent	descent	NOUN
ajema-7952	87	17	,	,	PUNCT
ajema-7952	87	18	although	although	SCONJ
ajema-7952	87	19	it	it	PRON
ajema-7952	87	20	lagged	lag	VERB
ajema-7952	87	21	behind	behind	ADP
ajema-7952	87	22	rprop	rprop	NOUN
ajema-7952	87	23	and	and	CCONJ
ajema-7952	87	24	lm	lm	X
ajema-7952	87	25	in	in	ADP
ajema-7952	87	26	terms	term	NOUN
ajema-7952	87	27	of	of	ADP
ajema-7952	87	28	convergence	convergence	NOUN
ajema-7952	87	29	speed	speed	NOUN
ajema-7952	87	30	and	and	CCONJ
ajema-7952	87	31	final	final	ADJ
ajema-7952	87	32	accuracy	accuracy	NOUN
ajema-7952	87	33	.	.	PUNCT
ajema-7952	88	1	furthermore	furthermore	ADV
ajema-7952	88	2	,	,	PUNCT
ajema-7952	88	3	the	the	DET
ajema-7952	88	4	study	study	NOUN
ajema-7952	88	5	highlights	highlight	VERB
ajema-7952	88	6	the	the	DET
ajema-7952	88	7	critical	critical	ADJ
ajema-7952	88	8	importance	importance	NOUN
ajema-7952	88	9	of	of	ADP
ajema-7952	88	10	choosing	choose	VERB
ajema-7952	88	11	the	the	DET
ajema-7952	88	12	right	right	ADJ
ajema-7952	88	13	training	training	NOUN
ajema-7952	88	14	algorithm	algorithm	NOUN
ajema-7952	88	15	depending	depend	VERB
ajema-7952	88	16	on	on	ADP
ajema-7952	88	17	the	the	DET
ajema-7952	88	18	nature	nature	NOUN
ajema-7952	88	19	of	of	ADP
ajema-7952	88	20	the	the	DET
ajema-7952	88	21	nonlinear	nonlinear	ADJ
ajema-7952	88	22	system	system	NOUN
ajema-7952	88	23	,	,	PUNCT
ajema-7952	88	24	the	the	DET
ajema-7952	88	25	desired	desire	VERB
ajema-7952	88	26	learning	learning	NOUN
ajema-7952	88	27	objectives	objective	NOUN
ajema-7952	88	28	,	,	PUNCT
ajema-7952	88	29	and	and	CCONJ
ajema-7952	88	30	hardware	hardware	NOUN
ajema-7952	88	31	constraints	constraint	NOUN
ajema-7952	88	32	.	.	PUNCT
ajema-7952	89	1	in	in	ADP
ajema-7952	89	2	real	real	ADJ
ajema-7952	89	3	-	-	PUNCT
ajema-7952	89	4	time	time	NOUN
ajema-7952	89	5	or	or	CCONJ
ajema-7952	89	6	embedded	embed	VERB
ajema-7952	89	7	applications	application	NOUN
ajema-7952	89	8	,	,	PUNCT
ajema-7952	89	9	lightweight	lightweight	ADJ
ajema-7952	89	10	and	and	CCONJ
ajema-7952	89	11	adaptable	adaptable	ADJ
ajema-7952	89	12	algorithms	algorithm	NOUN
ajema-7952	89	13	such	such	ADJ
ajema-7952	89	14	as	as	ADP
ajema-7952	89	15	rprop	rprop	NOUN
ajema-7952	89	16	are	be	AUX
ajema-7952	89	17	preferable	preferable	ADJ
ajema-7952	89	18	.	.	PUNCT
ajema-7952	90	1	in	in	ADP
ajema-7952	90	2	contrast	contrast	NOUN
ajema-7952	90	3	,	,	PUNCT
ajema-7952	90	4	for	for	ADP
ajema-7952	90	5	data	data	NOUN
ajema-7952	90	6	-	-	PUNCT
ajema-7952	90	7	rich	rich	ADJ
ajema-7952	90	8	and	and	CCONJ
ajema-7952	90	9	computationally	computationally	ADV
ajema-7952	90	10	permissive	permissive	ADJ
ajema-7952	90	11	environments	environment	NOUN
ajema-7952	90	12	,	,	PUNCT
ajema-7952	90	13	the	the	DET
ajema-7952	90	14	lm	lm	ADJ
ajema-7952	90	15	algorithm	algorithm	NOUN
ajema-7952	90	16	offers	offer	VERB
ajema-7952	90	17	superior	superior	ADJ
ajema-7952	90	18	modeling	modeling	NOUN
ajema-7952	90	19	capabilities	capability	NOUN
ajema-7952	90	20	.	.	PUNCT
ajema-7952	91	1	83	83	NUM
ajema-7952	91	2	journal	journal	NOUN
ajema-7952	91	3	of	of	ADP
ajema-7952	91	4	engineering	engineering	NOUN
ajema-7952	91	5	,	,	PUNCT
ajema-7952	91	6	mechanics	mechanic	NOUN
ajema-7952	91	7	and	and	CCONJ
ajema-7952	91	8	architecture	architecture	NOUN
ajema-7952	91	9	www	www	NOUN
ajema-7952	91	10	.	.	PUNCT
ajema-7952	92	1	grnjournal.us	grnjournal.us	X
ajema-7952	92	2	future	future	ADJ
ajema-7952	92	3	research	research	NOUN
ajema-7952	92	4	may	may	AUX
ajema-7952	92	5	explore	explore	VERB
ajema-7952	92	6	the	the	DET
ajema-7952	92	7	hybridization	hybridization	NOUN
ajema-7952	92	8	of	of	ADP
ajema-7952	92	9	these	these	DET
ajema-7952	92	10	training	training	NOUN
ajema-7952	92	11	approaches	approach	NOUN
ajema-7952	92	12	or	or	CCONJ
ajema-7952	92	13	the	the	DET
ajema-7952	92	14	integration	integration	NOUN
ajema-7952	92	15	of	of	ADP
ajema-7952	92	16	metaheuristic	metaheuristic	ADJ
ajema-7952	92	17	optimization	optimization	NOUN
ajema-7952	92	18	techniques	technique	NOUN
ajema-7952	92	19	(	(	PUNCT
ajema-7952	92	20	e.g.	e.g.	ADV
ajema-7952	92	21	,	,	PUNCT
ajema-7952	92	22	genetic	genetic	ADJ
ajema-7952	92	23	algorithms	algorithm	NOUN
ajema-7952	92	24	or	or	CCONJ
ajema-7952	92	25	particle	particle	NOUN
ajema-7952	92	26	swarm	swarm	NOUN
ajema-7952	92	27	optimization	optimization	NOUN
ajema-7952	92	28	)	)	PUNCT
ajema-7952	92	29	to	to	PART
ajema-7952	92	30	further	far	ADV
ajema-7952	92	31	improve	improve	VERB
ajema-7952	92	32	convergence	convergence	NOUN
ajema-7952	92	33	and	and	CCONJ
ajema-7952	92	34	generalization	generalization	NOUN
ajema-7952	92	35	.	.	PUNCT
ajema-7952	93	1	additionally	additionally	ADV
ajema-7952	93	2	,	,	PUNCT
ajema-7952	93	3	extending	extend	VERB
ajema-7952	93	4	this	this	DET
ajema-7952	93	5	work	work	NOUN
ajema-7952	93	6	to	to	PART
ajema-7952	93	7	recurrent	recurrent	VERB
ajema-7952	93	8	neural	neural	ADJ
ajema-7952	93	9	networks	network	NOUN
ajema-7952	93	10	and	and	CCONJ
ajema-7952	93	11	deep	deep	ADJ
ajema-7952	93	12	architectures	architecture	NOUN
ajema-7952	93	13	could	could	AUX
ajema-7952	93	14	provide	provide	VERB
ajema-7952	93	15	enhanced	enhanced	ADJ
ajema-7952	93	16	performance	performance	NOUN
ajema-7952	93	17	for	for	ADP
ajema-7952	93	18	timeseries	timeserie	NOUN
ajema-7952	93	19	prediction	prediction	NOUN
ajema-7952	93	20	and	and	CCONJ
ajema-7952	93	21	dynamic	dynamic	ADJ
ajema-7952	93	22	control	control	NOUN
ajema-7952	93	23	tasks	task	NOUN
ajema-7952	93	24	.	.	PUNCT
ajema-7952	94	1	in	in	ADP
ajema-7952	94	2	summary	summary	NOUN
ajema-7952	94	3	,	,	PUNCT
ajema-7952	94	4	this	this	DET
ajema-7952	94	5	research	research	NOUN
ajema-7952	94	6	reinforces	reinforce	VERB
ajema-7952	94	7	the	the	DET
ajema-7952	94	8	idea	idea	NOUN
ajema-7952	94	9	that	that	SCONJ
ajema-7952	94	10	there	there	PRON
ajema-7952	94	11	is	be	VERB
ajema-7952	94	12	no	no	DET
ajema-7952	94	13	one	one	NUM
ajema-7952	94	14	-	-	PUNCT
ajema-7952	94	15	size	size	NOUN
ajema-7952	94	16	-	-	PUNCT
ajema-7952	94	17	fits	fit	VERB
ajema-7952	94	18	-	-	PUNCT
ajema-7952	94	19	all	all	PRON
ajema-7952	94	20	training	training	NOUN
ajema-7952	94	21	algorithm	algorithm	NOUN
ajema-7952	94	22	for	for	ADP
ajema-7952	94	23	nonlinear	nonlinear	ADJ
ajema-7952	94	24	dynamic	dynamic	ADJ
ajema-7952	94	25	systems	system	NOUN
ajema-7952	94	26	.	.	PUNCT
ajema-7952	95	1	the	the	DET
ajema-7952	95	2	selection	selection	NOUN
ajema-7952	95	3	must	must	AUX
ajema-7952	95	4	be	be	AUX
ajema-7952	95	5	tailored	tailor	VERB
ajema-7952	95	6	to	to	ADP
ajema-7952	95	7	the	the	DET
ajema-7952	95	8	system	system	NOUN
ajema-7952	95	9	characteristics	characteristic	NOUN
ajema-7952	95	10	and	and	CCONJ
ajema-7952	95	11	application	application	NOUN
ajema-7952	95	12	requirements	requirement	NOUN
ajema-7952	95	13	,	,	PUNCT
ajema-7952	95	14	with	with	ADP
ajema-7952	95	15	careful	careful	ADJ
ajema-7952	95	16	consideration	consideration	NOUN
ajema-7952	95	17	of	of	ADP
ajema-7952	95	18	the	the	DET
ajema-7952	95	19	trade	trade	NOUN
ajema-7952	95	20	-	-	PUNCT
ajema-7952	95	21	offs	off	NOUN
ajema-7952	95	22	between	between	ADP
ajema-7952	95	23	accuracy	accuracy	NOUN
ajema-7952	95	24	,	,	PUNCT
ajema-7952	95	25	efficiency	efficiency	NOUN
ajema-7952	95	26	,	,	PUNCT
ajema-7952	95	27	and	and	CCONJ
ajema-7952	95	28	adaptability	adaptability	NOUN
ajema-7952	95	29	.	.	PUNCT
ajema-7952	96	1	references	reference	NOUN
ajema-7952	96	2	.	.	PUNCT
ajema-7952	97	1	1	1	X
ajema-7952	97	2	.	.	X
ajema-7952	97	3	haykin	haykin	PROPN
ajema-7952	97	4	,	,	PUNCT
ajema-7952	97	5	s.	s.	PROPN
ajema-7952	97	6	(	(	PUNCT
ajema-7952	97	7	1999	1999	NUM
ajema-7952	97	8	)	)	PUNCT
ajema-7952	97	9	.	.	PUNCT
ajema-7952	98	1	neural	neural	ADJ
ajema-7952	98	2	networks	network	NOUN
ajema-7952	98	3	:	:	PUNCT
ajema-7952	98	4	a	a	DET
ajema-7952	98	5	comprehensive	comprehensive	ADJ
ajema-7952	98	6	foundation	foundation	NOUN
ajema-7952	98	7	(	(	PUNCT
ajema-7952	98	8	2nd	2nd	ADJ
ajema-7952	98	9	ed	ed	NOUN
ajema-7952	98	10	.	.	PUNCT
ajema-7952	98	11	)	)	PUNCT
ajema-7952	98	12	.	.	PUNCT
ajema-7952	99	1	prentice	prentice	PROPN
ajema-7952	99	2	hall	hall	PROPN
ajema-7952	99	3	.	.	PUNCT
ajema-7952	100	1	2	2	X
ajema-7952	100	2	.	.	X
ajema-7952	100	3	ljung	ljung	PROPN
ajema-7952	100	4	,	,	PUNCT
ajema-7952	100	5	l.	l.	PROPN
ajema-7952	100	6	(	(	PUNCT
ajema-7952	100	7	1999	1999	NUM
ajema-7952	100	8	)	)	PUNCT
ajema-7952	100	9	.	.	PUNCT
ajema-7952	101	1	system	system	NOUN
ajema-7952	101	2	identification	identification	NOUN
ajema-7952	101	3	:	:	PUNCT
ajema-7952	101	4	theory	theory	NOUN
ajema-7952	101	5	for	for	ADP
ajema-7952	101	6	the	the	DET
ajema-7952	101	7	user	user	NOUN
ajema-7952	101	8	(	(	PUNCT
ajema-7952	101	9	2nd	2nd	ADJ
ajema-7952	101	10	ed	ed	NOUN
ajema-7952	101	11	.	.	PUNCT
ajema-7952	101	12	)	)	PUNCT
ajema-7952	101	13	.	.	PUNCT
ajema-7952	102	1	prentice	prentice	PROPN
ajema-7952	102	2	hall	hall	PROPN
ajema-7952	102	3	.	.	PUNCT
ajema-7952	103	1	3	3	X
ajema-7952	103	2	.	.	X
ajema-7952	103	3	hagan	hagan	NOUN
ajema-7952	103	4	,	,	PUNCT
ajema-7952	103	5	m.	m.	NOUN
ajema-7952	103	6	t.	t.	PROPN
ajema-7952	103	7	,	,	PUNCT
ajema-7952	103	8	demuth	demuth	PROPN
ajema-7952	103	9	,	,	PUNCT
ajema-7952	103	10	h.	h.	PROPN
ajema-7952	103	11	b.	b.	PROPN
ajema-7952	103	12	,	,	PUNCT
ajema-7952	103	13	&	&	CCONJ
ajema-7952	103	14	beale	beale	PROPN
ajema-7952	103	15	,	,	PUNCT
ajema-7952	103	16	m.	m.	NOUN
ajema-7952	103	17	h.	h.	PROPN
ajema-7952	103	18	(	(	PUNCT
ajema-7952	103	19	1996	1996	NUM
ajema-7952	103	20	)	)	PUNCT
ajema-7952	103	21	.	.	PUNCT
ajema-7952	104	1	neural	neural	ADJ
ajema-7952	104	2	network	network	NOUN
ajema-7952	104	3	design	design	NOUN
ajema-7952	104	4	.	.	PUNCT
ajema-7952	105	1	pws	pws	NOUN
ajema-7952	105	2	publishing	publishing	NOUN
ajema-7952	105	3	.	.	PUNCT
ajema-7952	106	1	4	4	X
ajema-7952	106	2	.	.	X
ajema-7952	106	3	yu	yu	PROPN
ajema-7952	106	4	,	,	PUNCT
ajema-7952	106	5	w.	w.	PROPN
ajema-7952	106	6	,	,	PUNCT
ajema-7952	106	7	chen	chen	PROPN
ajema-7952	106	8	,	,	PUNCT
ajema-7952	106	9	g.	g.	PROPN
ajema-7952	106	10	,	,	PUNCT
ajema-7952	106	11	&	&	CCONJ
ajema-7952	106	12	cao	cao	PROPN
ajema-7952	106	13	,	,	PUNCT
ajema-7952	106	14	j.	j.	PROPN
ajema-7952	106	15	(	(	PUNCT
ajema-7952	106	16	2009	2009	NUM
ajema-7952	106	17	)	)	PUNCT
ajema-7952	106	18	.	.	PUNCT
ajema-7952	107	1	nonlinear	nonlinear	ADJ
ajema-7952	107	2	control	control	NOUN
ajema-7952	107	3	of	of	ADP
ajema-7952	107	4	dynamic	dynamic	ADJ
ajema-7952	107	5	systems	system	NOUN
ajema-7952	107	6	with	with	ADP
ajema-7952	107	7	constraints	constraint	NOUN
ajema-7952	107	8	.	.	PUNCT
ajema-7952	108	1	springer	springer	NOUN
ajema-7952	108	2	.	.	PUNCT
ajema-7952	109	1	5	5	X
ajema-7952	109	2	.	.	X
ajema-7952	109	3	demuth	demuth	NOUN
ajema-7952	109	4	,	,	PUNCT
ajema-7952	109	5	h.	h.	PROPN
ajema-7952	109	6	,	,	PUNCT
ajema-7952	109	7	beale	beale	PROPN
ajema-7952	109	8	,	,	PUNCT
ajema-7952	109	9	m.	m.	NOUN
ajema-7952	109	10	,	,	PUNCT
ajema-7952	109	11	de	de	X
ajema-7952	109	12	jess	jess	PROPN
ajema-7952	109	13	,	,	PUNCT
ajema-7952	109	14	o.	o.	PROPN
ajema-7952	109	15	,	,	PUNCT
ajema-7952	109	16	&	&	CCONJ
ajema-7952	109	17	hagan	hagan	NOUN
ajema-7952	109	18	,	,	PUNCT
ajema-7952	109	19	m.	m.	NOUN
ajema-7952	109	20	(	(	PUNCT
ajema-7952	109	21	2014	2014	NUM
ajema-7952	109	22	)	)	PUNCT
ajema-7952	109	23	.	.	PUNCT
ajema-7952	110	1	neural	neural	ADJ
ajema-7952	110	2	network	network	NOUN
ajema-7952	110	3	toolbox	toolbox	NOUN
ajema-7952	110	4	™	™	VERB
ajema-7952	110	5	user	user	NOUN
ajema-7952	110	6	’s	’s	PART
ajema-7952	110	7	guide	guide	NOUN
ajema-7952	110	8	.	.	PUNCT
ajema-7952	111	1	the	the	DET
ajema-7952	111	2	mathworks	mathworks	PROPN
ajema-7952	111	3	,	,	PUNCT
ajema-7952	111	4	inc	inc	PROPN
ajema-7952	111	5	.	.	PROPN
ajema-7952	111	6	6	6	NUM
ajema-7952	111	7	.	.	PUNCT
ajema-7952	111	8	nelles	nelle	NOUN
ajema-7952	111	9	,	,	PUNCT
ajema-7952	111	10	o.	o.	PROPN
ajema-7952	111	11	(	(	PUNCT
ajema-7952	111	12	2001	2001	NUM
ajema-7952	111	13	)	)	PUNCT
ajema-7952	111	14	.	.	PUNCT
ajema-7952	112	1	nonlinear	nonlinear	ADJ
ajema-7952	112	2	system	system	NOUN
ajema-7952	112	3	identification	identification	NOUN
ajema-7952	112	4	:	:	PUNCT
ajema-7952	112	5	from	from	ADP
ajema-7952	112	6	classical	classical	ADJ
ajema-7952	112	7	approaches	approach	NOUN
ajema-7952	112	8	to	to	ADP
ajema-7952	112	9	neural	neural	ADJ
ajema-7952	112	10	networks	network	NOUN
ajema-7952	112	11	and	and	CCONJ
ajema-7952	112	12	fuzzy	fuzzy	ADJ
ajema-7952	112	13	models	model	NOUN
ajema-7952	112	14	.	.	PUNCT
ajema-7952	113	1	springer	springer	NOUN
ajema-7952	113	2	.	.	PUNCT
ajema-7952	114	1	7	7	X
ajema-7952	114	2	.	.	X
ajema-7952	114	3	bishop	bishop	PROPN
ajema-7952	114	4	,	,	PUNCT
ajema-7952	114	5	c.	c.	PROPN
ajema-7952	114	6	m.	m.	NOUN
ajema-7952	114	7	(	(	PUNCT
ajema-7952	114	8	1995	1995	NUM
ajema-7952	114	9	)	)	PUNCT
ajema-7952	114	10	.	.	PUNCT
ajema-7952	115	1	neural	neural	ADJ
ajema-7952	115	2	networks	network	NOUN
ajema-7952	115	3	for	for	ADP
ajema-7952	115	4	pattern	pattern	NOUN
ajema-7952	115	5	recognition	recognition	NOUN
ajema-7952	115	6	.	.	PUNCT
ajema-7952	116	1	oxford	oxford	PROPN
ajema-7952	116	2	university	university	PROPN
ajema-7952	116	3	press	press	NOUN
ajema-7952	116	4	.	.	PUNCT
ajema-7952	117	1	8	8	X
ajema-7952	117	2	.	.	X
ajema-7952	117	3	beale	beale	PROPN
ajema-7952	117	4	,	,	PUNCT
ajema-7952	117	5	m.	m.	PROPN
ajema-7952	117	6	h.	h.	PROPN
ajema-7952	117	7	,	,	PUNCT
ajema-7952	117	8	hagan	hagan	PROPN
ajema-7952	117	9	,	,	PUNCT
ajema-7952	117	10	m.	m.	NOUN
ajema-7952	117	11	t.	t.	PROPN
ajema-7952	117	12	,	,	PUNCT
ajema-7952	117	13	&	&	CCONJ
ajema-7952	117	14	demuth	demuth	PROPN
ajema-7952	117	15	,	,	PUNCT
ajema-7952	117	16	h.	h.	PROPN
ajema-7952	117	17	b.	b.	PROPN
ajema-7952	117	18	(	(	PUNCT
ajema-7952	117	19	2020	2020	NUM
ajema-7952	117	20	)	)	PUNCT
ajema-7952	117	21	.	.	PUNCT
ajema-7952	118	1	deep	deep	ADJ
ajema-7952	118	2	learning	learning	NOUN
ajema-7952	118	3	toolbox	toolbox	NOUN
ajema-7952	118	4	user	user	NOUN
ajema-7952	118	5	's	's	PART
ajema-7952	118	6	guide	guide	NOUN
ajema-7952	118	7	.	.	PUNCT
ajema-7952	119	1	mathworks	mathworks	PROPN
ajema-7952	119	2	documentation	documentation	NOUN
ajema-7952	119	3	.	.	PUNCT
ajema-7952	120	1	9	9	X
ajema-7952	120	2	.	.	X
ajema-7952	120	3	riedmiller	riedmiller	NOUN
ajema-7952	120	4	,	,	PUNCT
ajema-7952	120	5	m.	m.	NOUN
ajema-7952	120	6	,	,	PUNCT
ajema-7952	120	7	&	&	CCONJ
ajema-7952	120	8	braun	braun	PROPN
ajema-7952	120	9	,	,	PUNCT
ajema-7952	120	10	h.	h.	PROPN
ajema-7952	120	11	(	(	PUNCT
ajema-7952	120	12	1993	1993	NUM
ajema-7952	120	13	)	)	PUNCT
ajema-7952	120	14	.	.	PUNCT
ajema-7952	121	1	a	a	DET
ajema-7952	121	2	direct	direct	ADJ
ajema-7952	121	3	adaptive	adaptive	ADJ
ajema-7952	121	4	method	method	NOUN
ajema-7952	121	5	for	for	ADP
ajema-7952	121	6	faster	fast	ADJ
ajema-7952	121	7	backpropagation	backpropagation	NOUN
ajema-7952	121	8	learning	learning	NOUN
ajema-7952	121	9	:	:	PUNCT
ajema-7952	121	10	the	the	DET
ajema-7952	121	11	rprop	rprop	NOUN
ajema-7952	121	12	algorithm	algorithm	NOUN
ajema-7952	121	13	.	.	PUNCT
ajema-7952	122	1	proceedings	proceeding	NOUN
ajema-7952	122	2	of	of	ADP
ajema-7952	122	3	the	the	DET
ajema-7952	122	4	ieee	ieee	NOUN
ajema-7952	122	5	international	international	PROPN
ajema-7952	122	6	conference	conference	NOUN
ajema-7952	122	7	on	on	ADP
ajema-7952	122	8	neural	neural	ADJ
ajema-7952	122	9	networks	network	NOUN
ajema-7952	122	10	,	,	PUNCT
ajema-7952	122	11	586–591	586–591	NUM
ajema-7952	122	12	.	.	PUNCT
ajema-7952	123	1	10	10	NUM
ajema-7952	123	2	.	.	X
ajema-7952	124	1	zhang	zhang	PROPN
ajema-7952	124	2	,	,	PUNCT
ajema-7952	124	3	j.	j.	PROPN
ajema-7952	124	4	,	,	PUNCT
ajema-7952	124	5	&	&	CCONJ
ajema-7952	124	6	liu	liu	PROPN
ajema-7952	124	7	,	,	PUNCT
ajema-7952	124	8	y.	y.	PROPN
ajema-7952	124	9	(	(	PUNCT
ajema-7952	124	10	2001	2001	NUM
ajema-7952	124	11	)	)	PUNCT
ajema-7952	124	12	.	.	PUNCT
ajema-7952	125	1	identification	identification	NOUN
ajema-7952	125	2	and	and	CCONJ
ajema-7952	125	3	control	control	NOUN
ajema-7952	125	4	of	of	ADP
ajema-7952	125	5	nonlinear	nonlinear	ADJ
ajema-7952	125	6	dynamic	dynamic	ADJ
ajema-7952	125	7	systems	system	NOUN
ajema-7952	125	8	using	use	VERB
ajema-7952	125	9	recurrent	recurrent	ADJ
ajema-7952	125	10	neural	neural	ADJ
ajema-7952	125	11	networks	network	NOUN
ajema-7952	125	12	.	.	PUNCT
ajema-7952	126	1	ieee	ieee	NOUN
ajema-7952	126	2	transactions	transaction	NOUN
ajema-7952	126	3	on	on	ADP
ajema-7952	126	4	neural	neural	ADJ
ajema-7952	126	5	networks	network	NOUN
ajema-7952	126	6	,	,	PUNCT
ajema-7952	126	7	12(3	12(3	NUM
ajema-7952	126	8	)	)	PUNCT
ajema-7952	126	9	,	,	PUNCT
ajema-7952	126	10	567–576	567–576	NUM
ajema-7952	126	11	.	.	PUNCT