id	sid	tid	token	lemma	pos
ijassa-1370	1	1	microsoft	microsoft	PROPN
ijassa-1370	1	2	word	word	NOUN
ijassa-1370	1	3	real	real	ADJ
ijassa-1370	1	4	-	-	PUNCT
ijassa-1370	1	5	time	time	NOUN
ijassa-1370	1	6	flight	flight	NOUN
ijassa-1370	1	7	expariment_1	expariment_1	ADP
ijassa-1370	1	8	adv	adv	PROPN
ijassa-1370	1	9	syst	syst	PROPN
ijassa-1370	1	10	sci	sci	PROPN
ijassa-1370	1	11	appl	appl	PROPN
ijassa-1370	1	12	2023	2023	NUM
ijassa-1370	1	13	;	;	PUNCT
ijassa-1370	1	14	03	03	NUM
ijassa-1370	1	15	;	;	PUNCT
ijassa-1370	1	16	127	127	NUM
ijassa-1370	1	17	-	-	SYM
ijassa-1370	1	18	138	138	NUM
ijassa-1370	1	19	published	publish	VERB
ijassa-1370	1	20	online	online	ADV
ijassa-1370	1	21	at	at	ADP
ijassa-1370	1	22	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADJ
ijassa-1370	1	23	.	.	PUNCT
ijassa-1370	2	1	quality	quality	NOUN
ijassa-1370	2	2	control	control	NOUN
ijassa-1370	2	3	of	of	ADP
ijassa-1370	2	4	a	a	DET
ijassa-1370	2	5	real	real	ADJ
ijassa-1370	2	6	-	-	PUNCT
ijassa-1370	2	7	time	time	NOUN
ijassa-1370	2	8	flight	flight	NOUN
ijassa-1370	2	9	experiment	experiment	NOUN
ijassa-1370	2	10	using	use	VERB
ijassa-1370	2	11	neural	neural	ADJ
ijassa-1370	2	12	networks	network	NOUN
ijassa-1370	2	13	vasiliy	vasiliy	VERB
ijassa-1370	2	14	akhrameev1	akhrameev1	PROPN
ijassa-1370	2	15	,	,	PUNCT
ijassa-1370	2	16	eugeniy	eugeniy	ADJ
ijassa-1370	2	17	tsvetkov1	tsvetkov1	PROPN
ijassa-1370	2	18	,	,	PUNCT
ijassa-1370	2	19	alexander	alexander	PROPN
ijassa-1370	2	20	pashchenko2	pashchenko2	PROPN
ijassa-1370	2	21	*	*	PROPN
ijassa-1370	2	22	1	1	NUM
ijassa-1370	2	23	)	)	PUNCT
ijassa-1370	2	24	moscow	moscow	PROPN
ijassa-1370	2	25	institute	institute	PROPN
ijassa-1370	2	26	of	of	ADP
ijassa-1370	2	27	physics	physics	PROPN
ijassa-1370	2	28	and	and	CCONJ
ijassa-1370	2	29	technology	technology	NOUN
ijassa-1370	2	30	,	,	PUNCT
ijassa-1370	2	31	moscow	moscow	PROPN
ijassa-1370	2	32	,	,	PUNCT
ijassa-1370	2	33	russia	russia	NOUN
ijassa-1370	2	34	2	2	NUM
ijassa-1370	2	35	)	)	PUNCT
ijassa-1370	2	36	v.a	v.a	PROPN
ijassa-1370	2	37	.	.	PROPN
ijassa-1370	2	38	trapeznikov	trapeznikov	PROPN
ijassa-1370	2	39	institute	institute	PROPN
ijassa-1370	2	40	of	of	ADP
ijassa-1370	2	41	control	control	PROPN
ijassa-1370	2	42	sciences	sciences	PROPN
ijassa-1370	2	43	of	of	ADP
ijassa-1370	2	44	ras	ras	PROPN
ijassa-1370	2	45	,	,	PUNCT
ijassa-1370	2	46	moscow	moscow	PROPN
ijassa-1370	2	47	,	,	PUNCT
ijassa-1370	2	48	russia	russia	PROPN
ijassa-1370	2	49	abstract	abstract	NOUN
ijassa-1370	2	50	:	:	PUNCT
ijassa-1370	2	51	the	the	DET
ijassa-1370	2	52	paper	paper	NOUN
ijassa-1370	2	53	presents	present	VERB
ijassa-1370	2	54	some	some	DET
ijassa-1370	2	55	investigations	investigation	NOUN
ijassa-1370	2	56	on	on	ADP
ijassa-1370	2	57	automatic	automatic	ADJ
ijassa-1370	2	58	processing	processing	NOUN
ijassa-1370	2	59	of	of	ADP
ijassa-1370	2	60	flight	flight	NOUN
ijassa-1370	2	61	information	information	NOUN
ijassa-1370	2	62	.	.	PUNCT
ijassa-1370	3	1	the	the	DET
ijassa-1370	3	2	aim	aim	NOUN
ijassa-1370	3	3	of	of	ADP
ijassa-1370	3	4	this	this	DET
ijassa-1370	3	5	investigation	investigation	NOUN
ijassa-1370	3	6	is	be	AUX
ijassa-1370	3	7	to	to	PART
ijassa-1370	3	8	reduce	reduce	VERB
ijassa-1370	3	9	the	the	DET
ijassa-1370	3	10	cost	cost	NOUN
ijassa-1370	3	11	and	and	CCONJ
ijassa-1370	3	12	timing	timing	NOUN
ijassa-1370	3	13	required	require	VERB
ijassa-1370	3	14	for	for	ADP
ijassa-1370	3	15	aviation	aviation	NOUN
ijassa-1370	3	16	equipment	equipment	NOUN
ijassa-1370	3	17	testing	testing	NOUN
ijassa-1370	3	18	.	.	PUNCT
ijassa-1370	4	1	the	the	DET
ijassa-1370	4	2	algorithms	algorithm	NOUN
ijassa-1370	4	3	are	be	AUX
ijassa-1370	4	4	developed	develop	VERB
ijassa-1370	4	5	for	for	ADP
ijassa-1370	4	6	recognizing	recognize	VERB
ijassa-1370	4	7	various	various	ADJ
ijassa-1370	4	8	test	test	NOUN
ijassa-1370	4	9	modes	mode	NOUN
ijassa-1370	4	10	as	as	ADV
ijassa-1370	4	11	well	well	ADV
ijassa-1370	4	12	as	as	ADP
ijassa-1370	4	13	evaluating	evaluate	VERB
ijassa-1370	4	14	the	the	DET
ijassa-1370	4	15	correctness	correctness	NOUN
ijassa-1370	4	16	of	of	ADP
ijassa-1370	4	17	their	their	PRON
ijassa-1370	4	18	implementation	implementation	NOUN
ijassa-1370	4	19	.	.	PUNCT
ijassa-1370	5	1	while	while	SCONJ
ijassa-1370	5	2	developing	develop	VERB
ijassa-1370	5	3	the	the	DET
ijassa-1370	5	4	algorithms	algorithm	NOUN
ijassa-1370	5	5	a	a	DET
ijassa-1370	5	6	multilayer	multilayer	ADJ
ijassa-1370	5	7	perceptron	perceptron	NOUN
ijassa-1370	5	8	and	and	CCONJ
ijassa-1370	5	9	a	a	DET
ijassa-1370	5	10	kohonen	kohonen	PROPN
ijassa-1370	5	11	network	network	NOUN
ijassa-1370	5	12	were	be	AUX
ijassa-1370	5	13	used	use	VERB
ijassa-1370	5	14	as	as	ADP
ijassa-1370	5	15	basics	basic	NOUN
ijassa-1370	5	16	.	.	PUNCT
ijassa-1370	6	1	the	the	DET
ijassa-1370	6	2	results	result	NOUN
ijassa-1370	6	3	of	of	ADP
ijassa-1370	6	4	experiments	experiment	NOUN
ijassa-1370	6	5	are	be	AUX
ijassa-1370	6	6	presented	present	VERB
ijassa-1370	6	7	when	when	SCONJ
ijassa-1370	6	8	applying	apply	VERB
ijassa-1370	6	9	these	these	DET
ijassa-1370	6	10	algorithms	algorithm	NOUN
ijassa-1370	6	11	for	for	ADP
ijassa-1370	6	12	real	real	ADJ
ijassa-1370	6	13	testing	testing	NOUN
ijassa-1370	6	14	process	process	NOUN
ijassa-1370	6	15	.	.	PUNCT
ijassa-1370	7	1	keywords	keyword	NOUN
ijassa-1370	7	2	:	:	PUNCT
ijassa-1370	7	3	automatic	automatic	ADJ
ijassa-1370	7	4	processing	processing	NOUN
ijassa-1370	7	5	of	of	ADP
ijassa-1370	7	6	flight	flight	NOUN
ijassa-1370	7	7	information	information	NOUN
ijassa-1370	7	8	,	,	PUNCT
ijassa-1370	7	9	test	test	NOUN
ijassa-1370	7	10	modes	mode	NOUN
ijassa-1370	7	11	,	,	PUNCT
ijassa-1370	7	12	flight	flight	NOUN
ijassa-1370	7	13	experiment	experiment	NOUN
ijassa-1370	7	14	,	,	PUNCT
ijassa-1370	7	15	multilayer	multilayer	PROPN
ijassa-1370	7	16	perceptron	perceptron	PROPN
ijassa-1370	7	17	,	,	PUNCT
ijassa-1370	7	18	kohonen	kohonen	PROPN
ijassa-1370	7	19	network	network	PROPN
ijassa-1370	7	20	1	1	NUM
ijassa-1370	7	21	.	.	PUNCT
ijassa-1370	7	22	introduction	introduction	NOUN
ijassa-1370	7	23	one	one	NUM
ijassa-1370	7	24	of	of	ADP
ijassa-1370	7	25	the	the	DET
ijassa-1370	7	26	ways	way	NOUN
ijassa-1370	7	27	to	to	PART
ijassa-1370	7	28	reduce	reduce	VERB
ijassa-1370	7	29	the	the	DET
ijassa-1370	7	30	time	time	NOUN
ijassa-1370	7	31	and	and	CCONJ
ijassa-1370	7	32	cost	cost	NOUN
ijassa-1370	7	33	of	of	ADP
ijassa-1370	7	34	flight	flight	NOUN
ijassa-1370	7	35	tests	test	NOUN
ijassa-1370	7	36	is	be	AUX
ijassa-1370	7	37	the	the	DET
ijassa-1370	7	38	use	use	NOUN
ijassa-1370	7	39	of	of	ADP
ijassa-1370	7	40	automatic	automatic	ADJ
ijassa-1370	7	41	flight	flight	NOUN
ijassa-1370	7	42	information	information	NOUN
ijassa-1370	7	43	processing	processing	NOUN
ijassa-1370	7	44	tools	tool	NOUN
ijassa-1370	7	45	.	.	PUNCT
ijassa-1370	8	1	this	this	PRON
ijassa-1370	8	2	is	be	AUX
ijassa-1370	8	3	especially	especially	ADV
ijassa-1370	8	4	important	important	ADJ
ijassa-1370	8	5	,	,	PUNCT
ijassa-1370	8	6	since	since	SCONJ
ijassa-1370	8	7	the	the	DET
ijassa-1370	8	8	amount	amount	NOUN
ijassa-1370	8	9	of	of	ADP
ijassa-1370	8	10	information	information	NOUN
ijassa-1370	8	11	collected	collect	VERB
ijassa-1370	8	12	during	during	ADP
ijassa-1370	8	13	the	the	DET
ijassa-1370	8	14	flight	flight	NOUN
ijassa-1370	8	15	experiment	experiment	NOUN
ijassa-1370	8	16	is	be	AUX
ijassa-1370	8	17	growing	grow	VERB
ijassa-1370	8	18	more	more	ADV
ijassa-1370	8	19	and	and	CCONJ
ijassa-1370	8	20	more	more	ADV
ijassa-1370	8	21	and	and	CCONJ
ijassa-1370	8	22	requires	require	VERB
ijassa-1370	8	23	a	a	DET
ijassa-1370	8	24	lot	lot	NOUN
ijassa-1370	8	25	of	of	ADP
ijassa-1370	8	26	time	time	NOUN
ijassa-1370	8	27	and	and	CCONJ
ijassa-1370	8	28	human	human	ADJ
ijassa-1370	8	29	resources	resource	NOUN
ijassa-1370	8	30	for	for	ADP
ijassa-1370	8	31	secondary	secondary	ADJ
ijassa-1370	8	32	data	datum	NOUN
ijassa-1370	8	33	processing	processing	NOUN
ijassa-1370	8	34	.	.	PUNCT
ijassa-1370	9	1	modern	modern	ADJ
ijassa-1370	9	2	methods	method	NOUN
ijassa-1370	9	3	of	of	ADP
ijassa-1370	9	4	quantifying	quantify	VERB
ijassa-1370	9	5	the	the	DET
ijassa-1370	9	6	stability	stability	NOUN
ijassa-1370	9	7	and	and	CCONJ
ijassa-1370	9	8	controllability	controllability	NOUN
ijassa-1370	9	9	of	of	ADP
ijassa-1370	9	10	an	an	DET
ijassa-1370	9	11	aircraft	aircraft	NOUN
ijassa-1370	9	12	are	be	AUX
ijassa-1370	9	13	based	base	VERB
ijassa-1370	9	14	on	on	ADP
ijassa-1370	9	15	a	a	DET
ijassa-1370	9	16	comprehensive	comprehensive	ADJ
ijassa-1370	9	17	analysis	analysis	NOUN
ijassa-1370	9	18	of	of	ADP
ijassa-1370	9	19	the	the	DET
ijassa-1370	9	20	records	record	NOUN
ijassa-1370	9	21	of	of	ADP
ijassa-1370	9	22	its	its	PRON
ijassa-1370	9	23	movement	movement	NOUN
ijassa-1370	9	24	obtained	obtain	VERB
ijassa-1370	9	25	in	in	ADP
ijassa-1370	9	26	flight	flight	NOUN
ijassa-1370	9	27	when	when	SCONJ
ijassa-1370	9	28	the	the	DET
ijassa-1370	9	29	pilot	pilot	NOUN
ijassa-1370	9	30	performs	perform	VERB
ijassa-1370	9	31	special	special	ADJ
ijassa-1370	9	32	control	control	NOUN
ijassa-1370	9	33	maneuvers	maneuver	NOUN
ijassa-1370	9	34	[	[	X
ijassa-1370	9	35	1	1	NUM
ijassa-1370	9	36	]	]	PUNCT
ijassa-1370	9	37	,	,	PUNCT
ijassa-1370	9	38	[	[	X
ijassa-1370	9	39	2	2	NUM
ijassa-1370	9	40	]	]	PUNCT
ijassa-1370	9	41	,	,	PUNCT
ijassa-1370	9	42	which	which	PRON
ijassa-1370	9	43	are	be	AUX
ijassa-1370	9	44	one	one	NUM
ijassa-1370	9	45	of	of	ADP
ijassa-1370	9	46	the	the	DET
ijassa-1370	9	47	main	main	ADJ
ijassa-1370	9	48	elements	element	NOUN
ijassa-1370	9	49	of	of	ADP
ijassa-1370	9	50	the	the	DET
ijassa-1370	9	51	flight	flight	NOUN
ijassa-1370	9	52	task	task	NOUN
ijassa-1370	9	53	of	of	ADP
ijassa-1370	9	54	a	a	DET
ijassa-1370	9	55	test	test	NOUN
ijassa-1370	9	56	pilot	pilot	NOUN
ijassa-1370	9	57	.	.	PUNCT
ijassa-1370	10	1	for	for	ADP
ijassa-1370	10	2	qualitative	qualitative	ADJ
ijassa-1370	10	3	and	and	CCONJ
ijassa-1370	10	4	quantitative	quantitative	ADJ
ijassa-1370	10	5	assessment	assessment	NOUN
ijassa-1370	10	6	of	of	ADP
ijassa-1370	10	7	the	the	DET
ijassa-1370	10	8	dynamic	dynamic	ADJ
ijassa-1370	10	9	stability	stability	NOUN
ijassa-1370	10	10	and	and	CCONJ
ijassa-1370	10	11	controllability	controllability	NOUN
ijassa-1370	10	12	of	of	ADP
ijassa-1370	10	13	the	the	DET
ijassa-1370	10	14	aircraft	aircraft	NOUN
ijassa-1370	10	15	,	,	PUNCT
ijassa-1370	10	16	the	the	DET
ijassa-1370	10	17	following	follow	VERB
ijassa-1370	10	18	test	test	NOUN
ijassa-1370	10	19	control	control	NOUN
ijassa-1370	10	20	modes	mode	NOUN
ijassa-1370	10	21	are	be	AUX
ijassa-1370	10	22	usually	usually	ADV
ijassa-1370	10	23	performed	perform	VERB
ijassa-1370	10	24	:	:	PUNCT
ijassa-1370	10	25	•	•	NUM
ijassa-1370	10	26	impulse	impulse	ADJ
ijassa-1370	10	27	deviations	deviation	NOUN
ijassa-1370	10	28	of	of	ADP
ijassa-1370	10	29	control	control	NOUN
ijassa-1370	10	30	surfaces	surface	NOUN
ijassa-1370	10	31	;	;	PUNCT
ijassa-1370	11	1	•	•	NUM
ijassa-1370	11	2	stepwise	stepwise	ADJ
ijassa-1370	11	3	deviations	deviation	NOUN
ijassa-1370	11	4	of	of	ADP
ijassa-1370	11	5	control	control	NOUN
ijassa-1370	11	6	surfaces	surface	NOUN
ijassa-1370	11	7	;	;	PUNCT
ijassa-1370	11	8	•	•	NUM
ijassa-1370	11	9	two	two	NUM
ijassa-1370	11	10	-	-	PUNCT
ijassa-1370	11	11	way	way	NOUN
ijassa-1370	11	12	deviations	deviation	NOUN
ijassa-1370	11	13	of	of	ADP
ijassa-1370	11	14	control	control	NOUN
ijassa-1370	11	15	surfaces	surface	NOUN
ijassa-1370	11	16	.	.	PUNCT
ijassa-1370	12	1	to	to	PART
ijassa-1370	12	2	carry	carry	VERB
ijassa-1370	12	3	out	out	ADP
ijassa-1370	12	4	secondary	secondary	ADJ
ijassa-1370	12	5	processing	processing	NOUN
ijassa-1370	12	6	of	of	ADP
ijassa-1370	12	7	experimental	experimental	ADJ
ijassa-1370	12	8	data	datum	NOUN
ijassa-1370	12	9	in	in	ADP
ijassa-1370	12	10	real	real	ADJ
ijassa-1370	12	11	time	time	NOUN
ijassa-1370	12	12	,	,	PUNCT
ijassa-1370	12	13	it	it	PRON
ijassa-1370	12	14	is	be	AUX
ijassa-1370	12	15	necessary	necessary	ADJ
ijassa-1370	12	16	to	to	PART
ijassa-1370	12	17	recognize	recognize	VERB
ijassa-1370	12	18	the	the	DET
ijassa-1370	12	19	test	test	NOUN
ijassa-1370	12	20	modes	mode	NOUN
ijassa-1370	12	21	and	and	CCONJ
ijassa-1370	12	22	,	,	PUNCT
ijassa-1370	12	23	based	base	VERB
ijassa-1370	12	24	on	on	ADP
ijassa-1370	12	25	the	the	DET
ijassa-1370	12	26	recognition	recognition	NOUN
ijassa-1370	12	27	results	result	NOUN
ijassa-1370	12	28	,	,	PUNCT
ijassa-1370	12	29	include	include	VERB
ijassa-1370	12	30	certain	certain	ADJ
ijassa-1370	12	31	secondary	secondary	ADJ
ijassa-1370	12	32	processing	processing	NOUN
ijassa-1370	12	33	algorithms	algorithm	NOUN
ijassa-1370	12	34	.	.	PUNCT
ijassa-1370	13	1	this	this	DET
ijassa-1370	13	2	task	task	NOUN
ijassa-1370	13	3	should	should	AUX
ijassa-1370	13	4	be	be	AUX
ijassa-1370	13	5	solved	solve	VERB
ijassa-1370	13	6	completely	completely	ADV
ijassa-1370	13	7	automatically	automatically	ADV
ijassa-1370	13	8	and	and	CCONJ
ijassa-1370	13	9	as	as	ADV
ijassa-1370	13	10	secretly	secretly	ADV
ijassa-1370	13	11	as	as	ADP
ijassa-1370	13	12	possible	possible	ADJ
ijassa-1370	13	13	from	from	ADP
ijassa-1370	13	14	the	the	DET
ijassa-1370	13	15	operator	operator	NOUN
ijassa-1370	13	16	who	who	PRON
ijassa-1370	13	17	solves	solve	VERB
ijassa-1370	13	18	the	the	DET
ijassa-1370	13	19	main	main	ADJ
ijassa-1370	13	20	tasks	task	NOUN
ijassa-1370	13	21	of	of	ADP
ijassa-1370	13	22	controlling	control	VERB
ijassa-1370	13	23	the	the	DET
ijassa-1370	13	24	flight	flight	NOUN
ijassa-1370	13	25	experiment	experiment	NOUN
ijassa-1370	13	26	.	.	PUNCT
ijassa-1370	14	1	the	the	DET
ijassa-1370	14	2	main	main	ADJ
ijassa-1370	14	3	feature	feature	NOUN
ijassa-1370	14	4	of	of	ADP
ijassa-1370	14	5	the	the	DET
ijassa-1370	14	6	flight	flight	NOUN
ijassa-1370	14	7	modes	mode	NOUN
ijassa-1370	14	8	during	during	ADP
ijassa-1370	14	9	the	the	DET
ijassa-1370	14	10	flight	flight	NOUN
ijassa-1370	14	11	experiment	experiment	NOUN
ijassa-1370	14	12	is	be	AUX
ijassa-1370	14	13	their	their	PRON
ijassa-1370	14	14	determinacy	determinacy	NOUN
ijassa-1370	14	15	,	,	PUNCT
ijassa-1370	14	16	since	since	SCONJ
ijassa-1370	14	17	the	the	DET
ijassa-1370	14	18	flight	flight	NOUN
ijassa-1370	14	19	task	task	NOUN
ijassa-1370	14	20	is	be	AUX
ijassa-1370	14	21	negotiated	negotiate	VERB
ijassa-1370	14	22	in	in	ADP
ijassa-1370	14	23	advance	advance	NOUN
ijassa-1370	14	24	before	before	ADP
ijassa-1370	14	25	departure	departure	NOUN
ijassa-1370	14	26	,	,	PUNCT
ijassa-1370	14	27	the	the	DET
ijassa-1370	14	28	required	required	ADJ
ijassa-1370	14	29	values	value	NOUN
ijassa-1370	14	30	of	of	ADP
ijassa-1370	14	31	the	the	DET
ijassa-1370	14	32	deviation	deviation	NOUN
ijassa-1370	14	33	of	of	ADP
ijassa-1370	14	34	the	the	DET
ijassa-1370	14	35	aircraft	aircraft	NOUN
ijassa-1370	14	36	controls	control	NOUN
ijassa-1370	14	37	are	be	AUX
ijassa-1370	14	38	specified	specify	VERB
ijassa-1370	14	39	.	.	PUNCT
ijassa-1370	15	1	typically	typically	ADV
ijassa-1370	15	2	,	,	PUNCT
ijassa-1370	15	3	a	a	DET
ijassa-1370	15	4	test	test	NOUN
ijassa-1370	15	5	pilot	pilot	NOUN
ijassa-1370	15	6	is	be	AUX
ijassa-1370	15	7	specifically	specifically	ADV
ijassa-1370	15	8	trained	train	VERB
ijassa-1370	15	9	to	to	PART
ijassa-1370	15	10	perform	perform	VERB
ijassa-1370	15	11	the	the	DET
ijassa-1370	15	12	modes	mode	NOUN
ijassa-1370	15	13	.	.	PUNCT
ijassa-1370	16	1	then	then	ADV
ijassa-1370	16	2	the	the	DET
ijassa-1370	16	3	problem	problem	NOUN
ijassa-1370	16	4	of	of	ADP
ijassa-1370	16	5	recognition	recognition	NOUN
ijassa-1370	16	6	is	be	AUX
ijassa-1370	16	7	reduced	reduce	VERB
ijassa-1370	16	8	to	to	ADP
ijassa-1370	16	9	the	the	DET
ijassa-1370	16	10	well	well	ADV
ijassa-1370	16	11	-	-	PUNCT
ijassa-1370	16	12	known	know	VERB
ijassa-1370	16	13	problem	problem	NOUN
ijassa-1370	16	14	of	of	ADP
ijassa-1370	16	15	coherent	coherent	ADJ
ijassa-1370	16	16	reception	reception	NOUN
ijassa-1370	16	17	in	in	ADP
ijassa-1370	16	18	statistical	statistical	ADJ
ijassa-1370	16	19	radio	radio	NOUN
ijassa-1370	16	20	engineering	engineering	NOUN
ijassa-1370	16	21	2	2	NUM
ijassa-1370	16	22	.	.	PUNCT
ijassa-1370	16	23	problem	problem	NOUN
ijassa-1370	16	24	statement	statement	NOUN
ijassa-1370	16	25	in	in	ADP
ijassa-1370	16	26	order	order	NOUN
ijassa-1370	16	27	to	to	PART
ijassa-1370	16	28	conduct	conduct	VERB
ijassa-1370	16	29	secondary	secondary	ADJ
ijassa-1370	16	30	processing	processing	NOUN
ijassa-1370	16	31	of	of	ADP
ijassa-1370	16	32	the	the	DET
ijassa-1370	16	33	results	result	NOUN
ijassa-1370	16	34	of	of	ADP
ijassa-1370	16	35	the	the	DET
ijassa-1370	16	36	flight	flight	NOUN
ijassa-1370	16	37	experiment	experiment	NOUN
ijassa-1370	16	38	,	,	PUNCT
ijassa-1370	16	39	it	it	PRON
ijassa-1370	16	40	is	be	AUX
ijassa-1370	16	41	required	require	VERB
ijassa-1370	16	42	to	to	PART
ijassa-1370	16	43	develop	develop	VERB
ijassa-1370	16	44	an	an	DET
ijassa-1370	16	45	algorithm	algorithm	NOUN
ijassa-1370	16	46	for	for	ADP
ijassa-1370	16	47	recognizing	recognize	VERB
ijassa-1370	16	48	test	test	NOUN
ijassa-1370	16	49	modes	mode	NOUN
ijassa-1370	16	50	and	and	CCONJ
ijassa-1370	16	51	assessing	assess	VERB
ijassa-1370	16	52	the	the	DET
ijassa-1370	16	53	correctness	correctness	NOUN
ijassa-1370	16	54	of	of	ADP
ijassa-1370	16	55	its	its	PRON
ijassa-1370	16	56	implementation	implementation	NOUN
ijassa-1370	16	57	.	.	PUNCT
ijassa-1370	17	1	*	*	PUNCT
ijassa-1370	17	2	corresponding	correspond	VERB
ijassa-1370	17	3	author	author	NOUN
ijassa-1370	17	4	:	:	PUNCT
ijassa-1370	17	5	paschenko_alex@mail.ru	paschenko_alex@mail.ru	VERB
ijassa-1370	17	6	128	128	NUM
ijassa-1370	17	7	akhrameev	akhrameev	NOUN
ijassa-1370	17	8	v.	v.	PROPN
ijassa-1370	17	9	,	,	PUNCT
ijassa-1370	17	10	tsvetkov	tsvetkov	PROPN
ijassa-1370	17	11	e.	e.	PROPN
ijassa-1370	17	12	,	,	PUNCT
ijassa-1370	17	13	pashchenko	pashchenko	ADJ
ijassa-1370	17	14	a.	a.	NOUN
ijassa-1370	17	15	copyright	copyright	NOUN
ijassa-1370	17	16	©	©	PROPN
ijassa-1370	17	17	2023	2023	NUM
ijassa-1370	17	18	assa	assa	PROPN
ijassa-1370	17	19	adv	adv	PROPN
ijassa-1370	17	20	.	.	PUNCT
ijassa-1370	18	1	in	in	ADP
ijassa-1370	18	2	systems	system	NOUN
ijassa-1370	18	3	science	science	NOUN
ijassa-1370	18	4	and	and	CCONJ
ijassa-1370	18	5	appl	appl	NOUN
ijassa-1370	18	6	.	.	PUNCT
ijassa-1370	19	1	(	(	PUNCT
ijassa-1370	19	2	2023	2023	NUM
ijassa-1370	19	3	)	)	PUNCT
ijassa-1370	19	4	the	the	DET
ijassa-1370	19	5	work	work	NOUN
ijassa-1370	19	6	sets	set	VERB
ijassa-1370	19	7	the	the	DET
ijassa-1370	19	8	following	follow	VERB
ijassa-1370	19	9	tasks	task	NOUN
ijassa-1370	19	10	:	:	PUNCT
ijassa-1370	19	11	1	1	NUM
ijassa-1370	19	12	)	)	PUNCT
ijassa-1370	19	13	development	development	NOUN
ijassa-1370	19	14	of	of	ADP
ijassa-1370	19	15	an	an	DET
ijassa-1370	19	16	algorithm	algorithm	NOUN
ijassa-1370	19	17	for	for	ADP
ijassa-1370	19	18	finding	find	VERB
ijassa-1370	19	19	flight	flight	NOUN
ijassa-1370	19	20	modes	mode	NOUN
ijassa-1370	19	21	corresponding	correspond	VERB
ijassa-1370	19	22	to	to	ADP
ijassa-1370	19	23	a	a	DET
ijassa-1370	19	24	given	give	VERB
ijassa-1370	19	25	reference	reference	NOUN
ijassa-1370	19	26	mode	mode	NOUN
ijassa-1370	19	27	,	,	PUNCT
ijassa-1370	19	28	based	base	VERB
ijassa-1370	19	29	on	on	ADP
ijassa-1370	19	30	the	the	DET
ijassa-1370	19	31	use	use	NOUN
ijassa-1370	19	32	of	of	ADP
ijassa-1370	19	33	neural	neural	ADJ
ijassa-1370	19	34	networks	network	NOUN
ijassa-1370	19	35	of	of	ADP
ijassa-1370	19	36	two	two	NUM
ijassa-1370	19	37	types	type	NOUN
ijassa-1370	19	38	:	:	PUNCT
ijassa-1370	19	39	a	a	DET
ijassa-1370	19	40	multilayer	multilayer	ADJ
ijassa-1370	19	41	perceptron	perceptron	NOUN
ijassa-1370	19	42	and	and	CCONJ
ijassa-1370	19	43	a	a	DET
ijassa-1370	19	44	kohonen	kohonen	PROPN
ijassa-1370	19	45	network	network	NOUN
ijassa-1370	19	46	;	;	PUNCT
ijassa-1370	19	47	2	2	X
ijassa-1370	19	48	)	)	PUNCT
ijassa-1370	19	49	development	development	NOUN
ijassa-1370	19	50	of	of	ADP
ijassa-1370	19	51	an	an	DET
ijassa-1370	19	52	algorithm	algorithm	NOUN
ijassa-1370	19	53	for	for	ADP
ijassa-1370	19	54	training	training	NOUN
ijassa-1370	19	55	networks	network	NOUN
ijassa-1370	19	56	;	;	PUNCT
ijassa-1370	19	57	3	3	X
ijassa-1370	19	58	)	)	PUNCT
ijassa-1370	19	59	application	application	NOUN
ijassa-1370	19	60	of	of	ADP
ijassa-1370	19	61	the	the	DET
ijassa-1370	19	62	resulting	result	VERB
ijassa-1370	19	63	algorithm	algorithm	NOUN
ijassa-1370	19	64	for	for	ADP
ijassa-1370	19	65	real	real	ADJ
ijassa-1370	19	66	-	-	PUNCT
ijassa-1370	19	67	time	time	NOUN
ijassa-1370	19	68	recognition	recognition	NOUN
ijassa-1370	19	69	;	;	PUNCT
ijassa-1370	19	70	4	4	X
ijassa-1370	19	71	)	)	PUNCT
ijassa-1370	19	72	investigation	investigation	NOUN
ijassa-1370	19	73	of	of	ADP
ijassa-1370	19	74	the	the	DET
ijassa-1370	19	75	recognition	recognition	NOUN
ijassa-1370	19	76	system	system	NOUN
ijassa-1370	19	77	for	for	ADP
ijassa-1370	19	78	the	the	DET
ijassa-1370	19	79	stability	stability	NOUN
ijassa-1370	19	80	of	of	ADP
ijassa-1370	19	81	decision	decision	NOUN
ijassa-1370	19	82	-	-	PUNCT
ijassa-1370	19	83	making	making	NOUN
ijassa-1370	19	84	when	when	SCONJ
ijassa-1370	19	85	submitting	submit	VERB
ijassa-1370	19	86	noisy	noisy	ADJ
ijassa-1370	19	87	and	and	CCONJ
ijassa-1370	19	88	highly	highly	ADV
ijassa-1370	19	89	distorted	distorted	ADJ
ijassa-1370	19	90	records	record	NOUN
ijassa-1370	19	91	.	.	PUNCT
ijassa-1370	20	1	3	3	X
ijassa-1370	20	2	.	.	X
ijassa-1370	20	3	main	main	ADJ
ijassa-1370	20	4	tasks	task	NOUN
ijassa-1370	20	5	of	of	ADP
ijassa-1370	20	6	recognition	recognition	NOUN
ijassa-1370	20	7	system	system	NOUN
ijassa-1370	20	8	construction	construction	NOUN
ijassa-1370	20	9	each	each	DET
ijassa-1370	20	10	recognition	recognition	NOUN
ijassa-1370	20	11	system	system	NOUN
ijassa-1370	20	12	is	be	AUX
ijassa-1370	20	13	adapted	adapt	VERB
ijassa-1370	20	14	to	to	PART
ijassa-1370	20	15	recognize	recognize	VERB
ijassa-1370	20	16	only	only	ADV
ijassa-1370	20	17	this	this	DET
ijassa-1370	20	18	type	type	NOUN
ijassa-1370	20	19	of	of	ADP
ijassa-1370	20	20	objects	object	NOUN
ijassa-1370	20	21	or	or	CCONJ
ijassa-1370	20	22	phenomena	phenomenon	NOUN
ijassa-1370	20	23	.	.	PUNCT
ijassa-1370	21	1	let	let	VERB
ijassa-1370	21	2	's	us	PRON
ijassa-1370	21	3	consider	consider	VERB
ijassa-1370	21	4	the	the	DET
ijassa-1370	21	5	main	main	ADJ
ijassa-1370	21	6	tasks	task	NOUN
ijassa-1370	21	7	that	that	PRON
ijassa-1370	21	8	arise	arise	VERB
ijassa-1370	21	9	in	in	ADP
ijassa-1370	21	10	the	the	DET
ijassa-1370	21	11	process	process	NOUN
ijassa-1370	21	12	of	of	ADP
ijassa-1370	21	13	designing	design	VERB
ijassa-1370	21	14	and	and	CCONJ
ijassa-1370	21	15	building	building	NOUN
ijassa-1370	21	16	recognition	recognition	NOUN
ijassa-1370	21	17	systems	system	NOUN
ijassa-1370	21	18	.	.	PUNCT
ijassa-1370	22	1	the	the	DET
ijassa-1370	22	2	first	first	ADJ
ijassa-1370	22	3	task	task	NOUN
ijassa-1370	22	4	is	be	AUX
ijassa-1370	22	5	to	to	PART
ijassa-1370	22	6	study	study	VERB
ijassa-1370	22	7	in	in	ADP
ijassa-1370	22	8	detail	detail	NOUN
ijassa-1370	22	9	the	the	DET
ijassa-1370	22	10	objects	object	NOUN
ijassa-1370	22	11	that	that	PRON
ijassa-1370	22	12	will	will	AUX
ijassa-1370	22	13	be	be	AUX
ijassa-1370	22	14	recognized	recognize	VERB
ijassa-1370	22	15	by	by	ADP
ijassa-1370	22	16	the	the	DET
ijassa-1370	22	17	system	system	NOUN
ijassa-1370	22	18	being	be	AUX
ijassa-1370	22	19	created	create	VERB
ijassa-1370	22	20	.	.	PUNCT
ijassa-1370	23	1	the	the	DET
ijassa-1370	23	2	main	main	ADJ
ijassa-1370	23	3	purpose	purpose	NOUN
ijassa-1370	23	4	of	of	ADP
ijassa-1370	23	5	this	this	DET
ijassa-1370	23	6	task	task	NOUN
ijassa-1370	23	7	is	be	AUX
ijassa-1370	23	8	to	to	PART
ijassa-1370	23	9	find	find	VERB
ijassa-1370	23	10	out	out	ADP
ijassa-1370	23	11	the	the	DET
ijassa-1370	23	12	features	feature	NOUN
ijassa-1370	23	13	of	of	ADP
ijassa-1370	23	14	the	the	DET
ijassa-1370	23	15	studied	study	VERB
ijassa-1370	23	16	objects	object	NOUN
ijassa-1370	23	17	and	and	CCONJ
ijassa-1370	23	18	find	find	VERB
ijassa-1370	23	19	out	out	ADP
ijassa-1370	23	20	which	which	PRON
ijassa-1370	23	21	features	feature	VERB
ijassa-1370	23	22	unite	unite	NOUN
ijassa-1370	23	23	and	and	CCONJ
ijassa-1370	23	24	which	which	PRON
ijassa-1370	23	25	distinguish	distinguish	VERB
ijassa-1370	23	26	objects	object	NOUN
ijassa-1370	23	27	from	from	ADP
ijassa-1370	23	28	each	each	DET
ijassa-1370	23	29	other	other	ADJ
ijassa-1370	23	30	.	.	PUNCT
ijassa-1370	24	1	the	the	DET
ijassa-1370	24	2	second	second	ADJ
ijassa-1370	24	3	task	task	NOUN
ijassa-1370	24	4	is	be	AUX
ijassa-1370	24	5	to	to	PART
ijassa-1370	24	6	divide	divide	VERB
ijassa-1370	24	7	the	the	DET
ijassa-1370	24	8	entire	entire	ADJ
ijassa-1370	24	9	set	set	NOUN
ijassa-1370	24	10	of	of	ADP
ijassa-1370	24	11	recognizable	recognizable	ADJ
ijassa-1370	24	12	objects	object	NOUN
ijassa-1370	24	13	or	or	CCONJ
ijassa-1370	24	14	phenomena	phenomenon	NOUN
ijassa-1370	24	15	into	into	ADP
ijassa-1370	24	16	separate	separate	ADJ
ijassa-1370	24	17	classes	class	NOUN
ijassa-1370	24	18	.	.	PUNCT
ijassa-1370	25	1	to	to	PART
ijassa-1370	25	2	do	do	VERB
ijassa-1370	25	3	this	this	PRON
ijassa-1370	25	4	,	,	PUNCT
ijassa-1370	25	5	you	you	PRON
ijassa-1370	25	6	need	need	VERB
ijassa-1370	25	7	to	to	PART
ijassa-1370	25	8	choose	choose	VERB
ijassa-1370	25	9	the	the	DET
ijassa-1370	25	10	correct	correct	ADJ
ijassa-1370	25	11	classification	classification	NOUN
ijassa-1370	25	12	method	method	NOUN
ijassa-1370	25	13	based	base	VERB
ijassa-1370	25	14	on	on	ADP
ijassa-1370	25	15	the	the	DET
ijassa-1370	25	16	requirements	requirement	NOUN
ijassa-1370	25	17	that	that	PRON
ijassa-1370	25	18	apply	apply	VERB
ijassa-1370	25	19	to	to	ADP
ijassa-1370	25	20	the	the	DET
ijassa-1370	25	21	recognition	recognition	NOUN
ijassa-1370	25	22	system	system	NOUN
ijassa-1370	25	23	itself	itself	PRON
ijassa-1370	25	24	.	.	PUNCT
ijassa-1370	26	1	the	the	DET
ijassa-1370	26	2	main	main	ADJ
ijassa-1370	26	3	criterion	criterion	NOUN
ijassa-1370	26	4	here	here	ADV
ijassa-1370	26	5	is	be	AUX
ijassa-1370	26	6	a	a	DET
ijassa-1370	26	7	set	set	NOUN
ijassa-1370	26	8	of	of	ADP
ijassa-1370	26	9	decisions	decision	NOUN
ijassa-1370	26	10	made	make	VERB
ijassa-1370	26	11	when	when	SCONJ
ijassa-1370	26	12	recognizing	recognize	VERB
ijassa-1370	26	13	unknown	unknown	ADJ
ijassa-1370	26	14	objects	object	NOUN
ijassa-1370	26	15	and	and	CCONJ
ijassa-1370	26	16	phenomena	phenomenon	NOUN
ijassa-1370	26	17	.	.	PUNCT
ijassa-1370	27	1	in	in	ADP
ijassa-1370	27	2	the	the	DET
ijassa-1370	27	3	third	third	ADJ
ijassa-1370	27	4	task	task	NOUN
ijassa-1370	27	5	,	,	PUNCT
ijassa-1370	27	6	the	the	DET
ijassa-1370	27	7	goal	goal	NOUN
ijassa-1370	27	8	is	be	AUX
ijassa-1370	27	9	to	to	PART
ijassa-1370	27	10	compile	compile	VERB
ijassa-1370	27	11	a	a	DET
ijassa-1370	27	12	dictionary	dictionary	NOUN
ijassa-1370	27	13	of	of	ADP
ijassa-1370	27	14	features	feature	NOUN
ijassa-1370	27	15	used	use	VERB
ijassa-1370	27	16	both	both	PRON
ijassa-1370	27	17	for	for	ADP
ijassa-1370	27	18	a	a	DET
ijassa-1370	27	19	priori	priori	ADJ
ijassa-1370	27	20	description	description	NOUN
ijassa-1370	27	21	of	of	ADP
ijassa-1370	27	22	the	the	DET
ijassa-1370	27	23	class	class	NOUN
ijassa-1370	27	24	and	and	CCONJ
ijassa-1370	27	25	for	for	ADP
ijassa-1370	27	26	classification	classification	NOUN
ijassa-1370	27	27	of	of	ADP
ijassa-1370	27	28	each	each	DET
ijassa-1370	27	29	unknown	unknown	ADJ
ijassa-1370	27	30	object	object	NOUN
ijassa-1370	27	31	submitted	submit	VERB
ijassa-1370	27	32	to	to	ADP
ijassa-1370	27	33	the	the	DET
ijassa-1370	27	34	recognition	recognition	NOUN
ijassa-1370	27	35	system	system	NOUN
ijassa-1370	27	36	input	input	NOUN
ijassa-1370	27	37	.	.	PUNCT
ijassa-1370	28	1	the	the	DET
ijassa-1370	28	2	dictionary	dictionary	NOUN
ijassa-1370	28	3	can	can	AUX
ijassa-1370	28	4	only	only	ADV
ijassa-1370	28	5	include	include	VERB
ijassa-1370	28	6	features	feature	NOUN
ijassa-1370	28	7	about	about	ADP
ijassa-1370	28	8	which	which	DET
ijassa-1370	28	9	information	information	NOUN
ijassa-1370	28	10	can	can	AUX
ijassa-1370	28	11	be	be	AUX
ijassa-1370	28	12	obtained	obtain	VERB
ijassa-1370	28	13	sufficient	sufficient	ADJ
ijassa-1370	28	14	to	to	PART
ijassa-1370	28	15	describe	describe	VERB
ijassa-1370	28	16	classes	class	NOUN
ijassa-1370	28	17	in	in	ADP
ijassa-1370	28	18	the	the	DET
ijassa-1370	28	19	language	language	NOUN
ijassa-1370	28	20	of	of	ADP
ijassa-1370	28	21	these	these	DET
ijassa-1370	28	22	features	feature	NOUN
ijassa-1370	28	23	.	.	PUNCT
ijassa-1370	29	1	it	it	PRON
ijassa-1370	29	2	is	be	AUX
ijassa-1370	29	3	impractical	impractical	ADJ
ijassa-1370	29	4	to	to	PART
ijassa-1370	29	5	include	include	VERB
ijassa-1370	29	6	all	all	DET
ijassa-1370	29	7	the	the	DET
ijassa-1370	29	8	signs	sign	NOUN
ijassa-1370	29	9	in	in	ADP
ijassa-1370	29	10	the	the	DET
ijassa-1370	29	11	dictionary	dictionary	NOUN
ijassa-1370	29	12	,	,	PUNCT
ijassa-1370	29	13	even	even	ADV
ijassa-1370	29	14	if	if	SCONJ
ijassa-1370	29	15	the	the	DET
ijassa-1370	29	16	information	information	NOUN
ijassa-1370	29	17	about	about	ADP
ijassa-1370	29	18	them	they	PRON
ijassa-1370	29	19	is	be	AUX
ijassa-1370	29	20	received	receive	VERB
ijassa-1370	29	21	in	in	ADP
ijassa-1370	29	22	full	full	ADJ
ijassa-1370	29	23	.	.	PUNCT
ijassa-1370	30	1	when	when	SCONJ
ijassa-1370	30	2	designing	design	VERB
ijassa-1370	30	3	a	a	DET
ijassa-1370	30	4	dictionary	dictionary	NOUN
ijassa-1370	30	5	in	in	ADP
ijassa-1370	30	6	the	the	DET
ijassa-1370	30	7	language	language	NOUN
ijassa-1370	30	8	of	of	ADP
ijassa-1370	30	9	features	feature	NOUN
ijassa-1370	30	10	,	,	PUNCT
ijassa-1370	30	11	classes	class	NOUN
ijassa-1370	30	12	are	be	AUX
ijassa-1370	30	13	described	describe	VERB
ijassa-1370	30	14	and	and	CCONJ
ijassa-1370	30	15	after	after	ADP
ijassa-1370	30	16	selecting	select	VERB
ijassa-1370	30	17	recognition	recognition	NOUN
ijassa-1370	30	18	algorithms	algorithm	NOUN
ijassa-1370	30	19	,	,	PUNCT
ijassa-1370	30	20	the	the	DET
ijassa-1370	30	21	informativeness	informativeness	NOUN
ijassa-1370	30	22	of	of	ADP
ijassa-1370	30	23	each	each	DET
ijassa-1370	30	24	feature	feature	NOUN
ijassa-1370	30	25	is	be	AUX
ijassa-1370	30	26	evaluated	evaluate	VERB
ijassa-1370	30	27	[	[	X
ijassa-1370	30	28	3	3	NUM
ijassa-1370	30	29	]	]	PUNCT
ijassa-1370	30	30	.	.	PUNCT
ijassa-1370	31	1	thus	thus	ADV
ijassa-1370	31	2	,	,	PUNCT
ijassa-1370	31	3	it	it	PRON
ijassa-1370	31	4	is	be	AUX
ijassa-1370	31	5	possible	possible	ADJ
ijassa-1370	31	6	to	to	PART
ijassa-1370	31	7	weed	weed	VERB
ijassa-1370	31	8	out	out	ADP
ijassa-1370	31	9	the	the	DET
ijassa-1370	31	10	least	least	ADV
ijassa-1370	31	11	useful	useful	ADJ
ijassa-1370	31	12	signs	sign	NOUN
ijassa-1370	31	13	.	.	PUNCT
ijassa-1370	32	1	after	after	ADP
ijassa-1370	32	2	that	that	PRON
ijassa-1370	32	3	,	,	PUNCT
ijassa-1370	32	4	taking	take	VERB
ijassa-1370	32	5	into	into	ADP
ijassa-1370	32	6	account	account	NOUN
ijassa-1370	32	7	the	the	DET
ijassa-1370	32	8	restrictions	restriction	NOUN
ijassa-1370	32	9	imposed	impose	VERB
ijassa-1370	32	10	on	on	ADP
ijassa-1370	32	11	the	the	DET
ijassa-1370	32	12	creation	creation	NOUN
ijassa-1370	32	13	of	of	ADP
ijassa-1370	32	14	technical	technical	ADJ
ijassa-1370	32	15	means	mean	NOUN
ijassa-1370	32	16	of	of	ADP
ijassa-1370	32	17	obtaining	obtain	VERB
ijassa-1370	32	18	information	information	NOUN
ijassa-1370	32	19	,	,	PUNCT
ijassa-1370	32	20	a	a	DET
ijassa-1370	32	21	final	final	ADJ
ijassa-1370	32	22	decision	decision	NOUN
ijassa-1370	32	23	is	be	AUX
ijassa-1370	32	24	made	make	VERB
ijassa-1370	32	25	on	on	ADP
ijassa-1370	32	26	the	the	DET
ijassa-1370	32	27	composition	composition	NOUN
ijassa-1370	32	28	of	of	ADP
ijassa-1370	32	29	the	the	DET
ijassa-1370	32	30	dictionary	dictionary	NOUN
ijassa-1370	32	31	of	of	ADP
ijassa-1370	32	32	features	feature	NOUN
ijassa-1370	32	33	for	for	ADP
ijassa-1370	32	34	the	the	DET
ijassa-1370	32	35	operation	operation	NOUN
ijassa-1370	32	36	of	of	ADP
ijassa-1370	32	37	the	the	DET
ijassa-1370	32	38	recognition	recognition	NOUN
ijassa-1370	32	39	system	system	NOUN
ijassa-1370	32	40	.	.	PUNCT
ijassa-1370	33	1	the	the	DET
ijassa-1370	33	2	fourth	fourth	ADJ
ijassa-1370	33	3	task	task	NOUN
ijassa-1370	33	4	involves	involve	VERB
ijassa-1370	33	5	the	the	DET
ijassa-1370	33	6	description	description	NOUN
ijassa-1370	33	7	of	of	ADP
ijassa-1370	33	8	classes	class	NOUN
ijassa-1370	33	9	of	of	ADP
ijassa-1370	33	10	objects	object	NOUN
ijassa-1370	33	11	based	base	VERB
ijassa-1370	33	12	on	on	ADP
ijassa-1370	33	13	the	the	DET
ijassa-1370	33	14	resulting	result	VERB
ijassa-1370	33	15	dictionary	dictionary	NOUN
ijassa-1370	33	16	of	of	ADP
ijassa-1370	33	17	features	feature	NOUN
ijassa-1370	33	18	.	.	PUNCT
ijassa-1370	34	1	the	the	DET
ijassa-1370	34	2	task	task	NOUN
ijassa-1370	34	3	of	of	ADP
ijassa-1370	34	4	describing	describe	VERB
ijassa-1370	34	5	classes	class	NOUN
ijassa-1370	34	6	is	be	AUX
ijassa-1370	34	7	as	as	SCONJ
ijassa-1370	34	8	follows	follow	VERB
ijassa-1370	34	9	.	.	PUNCT
ijassa-1370	35	1	let	let	VERB
ijassa-1370	35	2	the	the	DET
ijassa-1370	35	3	dictionary	dictionary	NOUN
ijassa-1370	35	4	contain	contain	VERB
ijassa-1370	35	5	an	an	DET
ijassa-1370	35	6	ordered	ordered	ADJ
ijassa-1370	35	7	set	set	NOUN
ijassa-1370	35	8	of	of	ADP
ijassa-1370	35	9	features	feature	NOUN
ijassa-1370	35	10	𝑋	𝑋	PROPN
ijassa-1370	35	11	,	,	PUNCT
ijassa-1370	35	12	.	.	PUNCT
ijassa-1370	35	13	.	.	PUNCT
ijassa-1370	36	1	.	.	PUNCT
ijassa-1370	37	1	,	,	PUNCT
ijassa-1370	37	2	𝑋	𝑋	PROPN
ijassa-1370	37	3	.	.	PUNCT
ijassa-1370	38	1	this	this	DET
ijassa-1370	38	2	set	set	NOUN
ijassa-1370	38	3	of	of	ADP
ijassa-1370	38	4	parameters	parameter	NOUN
ijassa-1370	38	5	is	be	AUX
ijassa-1370	38	6	a	a	DET
ijassa-1370	38	7	vector	vector	NOUN
ijassa-1370	38	8	𝑋	𝑋	NOUN
ijassa-1370	38	9	=	=	SYM
ijassa-1370	38	10	{	{	PUNCT
ijassa-1370	38	11	𝑋	𝑋	PROPN
ijassa-1370	38	12	,	,	PUNCT
ijassa-1370	38	13	.	.	PUNCT
ijassa-1370	38	14	.	.	PUNCT
ijassa-1370	39	1	.	.	PUNCT
ijassa-1370	40	1	,	,	PUNCT
ijassa-1370	40	2	𝑋	𝑋	PROPN
ijassa-1370	40	3	}	}	PUNCT
ijassa-1370	40	4	defined	define	VERB
ijassa-1370	40	5	in	in	ADP
ijassa-1370	40	6	the	the	DET
ijassa-1370	40	7	feature	feature	NOUN
ijassa-1370	40	8	space	space	NOUN
ijassa-1370	40	9	of	of	ADP
ijassa-1370	40	10	the	the	DET
ijassa-1370	40	11	recognition	recognition	NOUN
ijassa-1370	40	12	system	system	NOUN
ijassa-1370	40	13	.	.	PUNCT
ijassa-1370	41	1	each	each	DET
ijassa-1370	41	2	point	point	NOUN
ijassa-1370	41	3	of	of	ADP
ijassa-1370	41	4	this	this	DET
ijassa-1370	41	5	space	space	NOUN
ijassa-1370	41	6	represents	represent	VERB
ijassa-1370	41	7	recognizable	recognizable	ADJ
ijassa-1370	41	8	objects	object	NOUN
ijassa-1370	41	9	.	.	PUNCT
ijassa-1370	42	1	the	the	DET
ijassa-1370	42	2	whole	whole	ADJ
ijassa-1370	42	3	set	set	NOUN
ijassa-1370	42	4	of	of	ADP
ijassa-1370	42	5	objects	object	NOUN
ijassa-1370	42	6	is	be	AUX
ijassa-1370	42	7	divided	divide	VERB
ijassa-1370	42	8	into	into	ADP
ijassa-1370	42	9	classes	class	NOUN
ijassa-1370	42	10	𝛺	𝛺	ADJ
ijassa-1370	42	11	,	,	PUNCT
ijassa-1370	42	12	.	.	PUNCT
ijassa-1370	42	13	.	.	PUNCT
ijassa-1370	43	1	.	.	PUNCT
ijassa-1370	44	1	,	,	PUNCT
ijassa-1370	44	2	𝛺	𝛺	INTJ
ijassa-1370	44	3	,	,	PUNCT
ijassa-1370	44	4	each	each	DET
ijassa-1370	44	5	class	class	NOUN
ijassa-1370	44	6	in	in	ADP
ijassa-1370	44	7	the	the	DET
ijassa-1370	44	8	feature	feature	NOUN
ijassa-1370	44	9	space	space	NOUN
ijassa-1370	44	10	corresponds	correspond	VERB
ijassa-1370	44	11	to	to	ADP
ijassa-1370	44	12	a	a	DET
ijassa-1370	44	13	region	region	NOUN
ijassa-1370	44	14	𝐷	𝐷	NOUN
ijassa-1370	44	15	,	,	PUNCT
ijassa-1370	44	16	𝑖	𝑖	NOUN
ijassa-1370	44	17	=	=	NOUN
ijassa-1370	44	18	1	1	NUM
ijassa-1370	44	19	,	,	PUNCT
ijassa-1370	44	20	.	.	PUNCT
ijassa-1370	44	21	.	.	PUNCT
ijassa-1370	45	1	.	.	PUNCT
ijassa-1370	46	1	,	,	PUNCT
ijassa-1370	46	2	𝑚	𝑚	X
ijassa-1370	46	3	,	,	PUNCT
ijassa-1370	46	4	so	so	SCONJ
ijassa-1370	46	5	that	that	SCONJ
ijassa-1370	46	6	a	a	DET
ijassa-1370	46	7	point	point	NOUN
ijassa-1370	46	8	in	in	ADP
ijassa-1370	46	9	the	the	DET
ijassa-1370	46	10	feature	feature	NOUN
ijassa-1370	46	11	space	space	NOUN
ijassa-1370	46	12	representing	represent	VERB
ijassa-1370	46	13	an	an	DET
ijassa-1370	46	14	object	object	NOUN
ijassa-1370	46	15	that	that	PRON
ijassa-1370	46	16	has	have	AUX
ijassa-1370	46	17	features	feature	VERB
ijassa-1370	46	18	𝑋	𝑋	NOUN
ijassa-1370	46	19	,	,	PUNCT
ijassa-1370	46	20	.	.	PUNCT
ijassa-1370	46	21	.	.	PUNCT
ijassa-1370	47	1	.	.	PUNCT
ijassa-1370	48	1	,	,	PUNCT
ijassa-1370	48	2	𝑋	𝑋	PROPN
ijassa-1370	48	3	and	and	CCONJ
ijassa-1370	48	4	belongs	belong	VERB
ijassa-1370	48	5	to	to	ADP
ijassa-1370	48	6	the	the	DET
ijassa-1370	48	7	class	class	NOUN
ijassa-1370	48	8	𝛺	𝛺	PROPN
ijassa-1370	48	9	belongs	belong	VERB
ijassa-1370	48	10	to	to	ADP
ijassa-1370	48	11	the	the	DET
ijassa-1370	48	12	region	region	NOUN
ijassa-1370	48	13	𝐷	𝐷	PROPN
ijassa-1370	48	14	.	.	PUNCT
ijassa-1370	49	1	it	it	PRON
ijassa-1370	49	2	is	be	AUX
ijassa-1370	49	3	also	also	ADV
ijassa-1370	49	4	required	require	VERB
ijassa-1370	49	5	to	to	PART
ijassa-1370	49	6	construct	construct	VERB
ijassa-1370	49	7	separating	separate	VERB
ijassa-1370	49	8	functions	function	NOUN
ijassa-1370	49	9	𝐹	𝐹	PROPN
ijassa-1370	49	10	(	(	PUNCT
ijassa-1370	49	11	𝑋	𝑋	NOUN
ijassa-1370	49	12	,	,	PUNCT
ijassa-1370	49	13	.	.	PUNCT
ijassa-1370	49	14	.	.	PUNCT
ijassa-1370	50	1	.	.	PUNCT
ijassa-1370	51	1	,	,	PUNCT
ijassa-1370	51	2	𝑋	𝑋	PROPN
ijassa-1370	51	3	)	)	PUNCT
ijassa-1370	51	4	,	,	PUNCT
ijassa-1370	51	5	𝑖	𝑖	NOUN
ijassa-1370	51	6	=	=	NOUN
ijassa-1370	51	7	1	1	NUM
ijassa-1370	51	8	,	,	PUNCT
ijassa-1370	51	9	.	.	PUNCT
ijassa-1370	51	10	.	.	PUNCT
ijassa-1370	52	1	.	.	PUNCT
ijassa-1370	53	1	,	,	PUNCT
ijassa-1370	53	2	𝑚	𝑚	X
ijassa-1370	53	3	,	,	PUNCT
ijassa-1370	53	4	having	have	VERB
ijassa-1370	53	5	the	the	DET
ijassa-1370	53	6	following	follow	VERB
ijassa-1370	53	7	property	property	NOUN
ijassa-1370	53	8	–	–	PUNCT
ijassa-1370	53	9	if	if	SCONJ
ijassa-1370	53	10	the	the	DET
ijassa-1370	53	11	object	object	NOUN
ijassa-1370	53	12	belongs	belong	VERB
ijassa-1370	53	13	to	to	ADP
ijassa-1370	53	14	the	the	DET
ijassa-1370	53	15	class	class	NOUN
ijassa-1370	53	16	𝛺	𝛺	NOUN
ijassa-1370	53	17	,	,	PUNCT
ijassa-1370	53	18	then	then	ADV
ijassa-1370	53	19	the	the	DET
ijassa-1370	53	20	value	value	NOUN
ijassa-1370	53	21	of	of	ADP
ijassa-1370	53	22	𝐹	𝐹	PROPN
ijassa-1370	53	23	(	(	PUNCT
ijassa-1370	53	24	𝑋	𝑋	NOUN
ijassa-1370	53	25	,	,	PUNCT
ijassa-1370	53	26	.	.	PUNCT
ijassa-1370	53	27	.	.	PUNCT
ijassa-1370	54	1	.	.	PUNCT
ijassa-1370	55	1	,	,	PUNCT
ijassa-1370	55	2	𝑋	𝑋	NOUN
ijassa-1370	55	3	)	)	PUNCT
ijassa-1370	55	4	should	should	AUX
ijassa-1370	55	5	be	be	AUX
ijassa-1370	55	6	the	the	DET
ijassa-1370	55	7	largest	large	ADJ
ijassa-1370	55	8	.	.	PUNCT
ijassa-1370	56	1	the	the	DET
ijassa-1370	56	2	separating	separate	VERB
ijassa-1370	56	3	function	function	NOUN
ijassa-1370	56	4	𝐹	𝐹	PRON
ijassa-1370	56	5	must	must	AUX
ijassa-1370	56	6	take	take	VERB
ijassa-1370	56	7	the	the	DET
ijassa-1370	56	8	largest	large	ADJ
ijassa-1370	56	9	value	value	NOUN
ijassa-1370	56	10	for	for	ADP
ijassa-1370	56	11	all	all	DET
ijassa-1370	56	12	objects	object	NOUN
ijassa-1370	56	13	𝑋	𝑋	PROPN
ijassa-1370	56	14	of	of	ADP
ijassa-1370	56	15	the	the	DET
ijassa-1370	56	16	class	class	NOUN
ijassa-1370	56	17	𝛺	𝛺	NOUN
ijassa-1370	56	18	.	.	PUNCT
ijassa-1370	57	1	𝐹	𝐹	PROPN
ijassa-1370	57	2	(	(	PUNCT
ijassa-1370	57	3	𝑋	𝑋	PROPN
ijassa-1370	57	4	)	)	PUNCT
ijassa-1370	57	5	>	>	PUNCT
ijassa-1370	57	6	𝐹	𝐹	PROPN
ijassa-1370	57	7	(	(	PUNCT
ijassa-1370	57	8	𝑋	𝑋	PROPN
ijassa-1370	57	9	)	)	PUNCT
ijassa-1370	57	10	,	,	PUNCT
ijassa-1370	57	11	𝑞	𝑞	PROPN
ijassa-1370	57	12	,	,	PUNCT
ijassa-1370	57	13	𝑔	𝑔	PROPN
ijassa-1370	57	14	=	=	SYM
ijassa-1370	57	15	1	1	NUM
ijassa-1370	57	16	,	,	PUNCT
ijassa-1370	57	17	…	…	PUNCT
ijassa-1370	57	18	,	,	PUNCT
ijassa-1370	57	19	𝑚	𝑚	X
ijassa-1370	57	20	,	,	PUNCT
ijassa-1370	57	21	𝑞	𝑞	PROPN
ijassa-1370	57	22	≠	≠	PROPN
ijassa-1370	57	23	𝑔.	𝑔.	NOUN
ijassa-1370	57	24	(	(	PUNCT
ijassa-1370	57	25	1	1	NUM
ijassa-1370	57	26	)	)	PUNCT
ijassa-1370	57	27	thus	thus	ADV
ijassa-1370	57	28	,	,	PUNCT
ijassa-1370	57	29	in	in	ADP
ijassa-1370	57	30	the	the	DET
ijassa-1370	57	31	feature	feature	NOUN
ijassa-1370	57	32	space	space	NOUN
ijassa-1370	57	33	of	of	ADP
ijassa-1370	57	34	the	the	DET
ijassa-1370	57	35	recognition	recognition	NOUN
ijassa-1370	57	36	system	system	NOUN
ijassa-1370	57	37	,	,	PUNCT
ijassa-1370	57	38	the	the	DET
ijassa-1370	57	39	boundary	boundary	NOUN
ijassa-1370	57	40	of	of	ADP
ijassa-1370	57	41	the	the	DET
ijassa-1370	57	42	partition	partition	NOUN
ijassa-1370	57	43	,	,	PUNCT
ijassa-1370	57	44	called	call	VERB
ijassa-1370	57	45	the	the	DET
ijassa-1370	57	46	decisive	decisive	ADJ
ijassa-1370	57	47	boundary	boundary	NOUN
ijassa-1370	57	48	between	between	ADP
ijassa-1370	57	49	the	the	DET
ijassa-1370	57	50	regions	region	NOUN
ijassa-1370	57	51	𝐷	𝐷	NOUN
ijassa-1370	57	52	corresponding	correspond	VERB
ijassa-1370	57	53	to	to	ADP
ijassa-1370	57	54	the	the	DET
ijassa-1370	57	55	classes	class	NOUN
ijassa-1370	57	56	𝛺	𝛺	ADJ
ijassa-1370	57	57	,	,	PUNCT
ijassa-1370	57	58	is	be	AUX
ijassa-1370	57	59	expressed	express	VERB
ijassa-1370	57	60	by	by	ADP
ijassa-1370	57	61	the	the	DET
ijassa-1370	57	62	equation	equation	NOUN
ijassa-1370	58	1	𝐹	𝐹	PROPN
ijassa-1370	58	2	(	(	PUNCT
ijassa-1370	58	3	𝑋	𝑋	PROPN
ijassa-1370	58	4	)	)	PUNCT
ijassa-1370	58	5	−	−	PROPN
ijassa-1370	58	6	𝐹	𝐹	PROPN
ijassa-1370	58	7	(	(	PUNCT
ijassa-1370	58	8	𝑋	𝑋	PROPN
ijassa-1370	58	9	)	)	PUNCT
ijassa-1370	58	10	=	=	SYM
ijassa-1370	58	11	0	0	PUNCT
ijassa-1370	58	12	(	(	PUNCT
ijassa-1370	58	13	2	2	NUM
ijassa-1370	58	14	)	)	PUNCT
ijassa-1370	58	15	quality	quality	NOUN
ijassa-1370	58	16	control	control	NOUN
ijassa-1370	58	17	of	of	ADP
ijassa-1370	58	18	a	a	DET
ijassa-1370	58	19	real	real	ADJ
ijassa-1370	58	20	-	-	PUNCT
ijassa-1370	58	21	time	time	NOUN
ijassa-1370	58	22	flight	flight	NOUN
ijassa-1370	58	23	experiment	experiment	NOUN
ijassa-1370	58	24	…	…	PUNCT
ijassa-1370	58	25	129	129	NUM
ijassa-1370	58	26	copyright	copyright	NOUN
ijassa-1370	58	27	©	©	PROPN
ijassa-1370	58	28	2023	2023	NUM
ijassa-1370	58	29	assa	assa	NOUN
ijassa-1370	58	30	.	.	PUNCT
ijassa-1370	59	1	adv	adv	PROPN
ijassa-1370	59	2	.	.	PUNCT
ijassa-1370	60	1	in	in	ADP
ijassa-1370	60	2	systems	system	NOUN
ijassa-1370	60	3	science	science	NOUN
ijassa-1370	60	4	and	and	CCONJ
ijassa-1370	60	5	appl	appl	NOUN
ijassa-1370	60	6	.	.	PUNCT
ijassa-1370	61	1	(	(	PUNCT
ijassa-1370	61	2	2023	2023	NUM
ijassa-1370	61	3	)	)	PUNCT
ijassa-1370	61	4	the	the	DET
ijassa-1370	61	5	processing	processing	NOUN
ijassa-1370	61	6	of	of	ADP
ijassa-1370	61	7	information	information	NOUN
ijassa-1370	61	8	about	about	ADP
ijassa-1370	61	9	recognized	recognize	VERB
ijassa-1370	61	10	objects	object	NOUN
ijassa-1370	61	11	and	and	CCONJ
ijassa-1370	61	12	the	the	DET
ijassa-1370	61	13	description	description	NOUN
ijassa-1370	61	14	of	of	ADP
ijassa-1370	61	15	classes	class	NOUN
ijassa-1370	61	16	is	be	AUX
ijassa-1370	61	17	a	a	DET
ijassa-1370	61	18	very	very	ADV
ijassa-1370	61	19	large	large	ADJ
ijassa-1370	61	20	and	and	CCONJ
ijassa-1370	61	21	time	time	NOUN
ijassa-1370	61	22	–	–	PUNCT
ijassa-1370	61	23	consuming	consume	VERB
ijassa-1370	61	24	part	part	NOUN
ijassa-1370	61	25	in	in	ADP
ijassa-1370	61	26	the	the	DET
ijassa-1370	61	27	task	task	NOUN
ijassa-1370	61	28	of	of	ADP
ijassa-1370	61	29	creating	create	VERB
ijassa-1370	61	30	a	a	DET
ijassa-1370	61	31	recognition	recognition	NOUN
ijassa-1370	61	32	system	system	NOUN
ijassa-1370	61	33	associated	associate	VERB
ijassa-1370	61	34	with	with	ADP
ijassa-1370	61	35	a	a	DET
ijassa-1370	61	36	detailed	detailed	ADJ
ijassa-1370	61	37	study	study	NOUN
ijassa-1370	61	38	of	of	ADP
ijassa-1370	61	39	the	the	DET
ijassa-1370	61	40	features	feature	NOUN
ijassa-1370	61	41	of	of	ADP
ijassa-1370	61	42	objects	object	NOUN
ijassa-1370	61	43	.	.	PUNCT
ijassa-1370	62	1	the	the	DET
ijassa-1370	62	2	fifth	fifth	ADJ
ijassa-1370	62	3	task	task	NOUN
ijassa-1370	62	4	is	be	AUX
ijassa-1370	62	5	to	to	PART
ijassa-1370	62	6	develop	develop	VERB
ijassa-1370	62	7	recognition	recognition	NOUN
ijassa-1370	62	8	algorithms	algorithm	NOUN
ijassa-1370	62	9	that	that	PRON
ijassa-1370	62	10	determine	determine	VERB
ijassa-1370	62	11	the	the	DET
ijassa-1370	62	12	class	class	NOUN
ijassa-1370	62	13	to	to	PART
ijassa-1370	62	14	which	which	PRON
ijassa-1370	62	15	the	the	DET
ijassa-1370	62	16	recognized	recognize	VERB
ijassa-1370	62	17	object	object	NOUN
ijassa-1370	62	18	belongs	belong	VERB
ijassa-1370	62	19	.	.	PUNCT
ijassa-1370	63	1	recognition	recognition	NOUN
ijassa-1370	63	2	methods	method	NOUN
ijassa-1370	63	3	are	be	AUX
ijassa-1370	63	4	based	base	VERB
ijassa-1370	63	5	on	on	ADP
ijassa-1370	63	6	comparing	compare	VERB
ijassa-1370	63	7	some	some	DET
ijassa-1370	63	8	measure	measure	NOUN
ijassa-1370	63	9	of	of	ADP
ijassa-1370	63	10	proximity	proximity	NOUN
ijassa-1370	63	11	or	or	CCONJ
ijassa-1370	63	12	similarity	similarity	NOUN
ijassa-1370	63	13	of	of	ADP
ijassa-1370	63	14	the	the	DET
ijassa-1370	63	15	classified	classified	ADJ
ijassa-1370	63	16	object	object	NOUN
ijassa-1370	63	17	with	with	ADP
ijassa-1370	63	18	each	each	DET
ijassa-1370	63	19	class	class	NOUN
ijassa-1370	63	20	.	.	PUNCT
ijassa-1370	64	1	thus	thus	ADV
ijassa-1370	64	2	,	,	PUNCT
ijassa-1370	64	3	if	if	SCONJ
ijassa-1370	64	4	some	some	DET
ijassa-1370	64	5	measure	measure	NOUN
ijassa-1370	64	6	of	of	ADP
ijassa-1370	64	7	the	the	DET
ijassa-1370	64	8	proximity	proximity	NOUN
ijassa-1370	64	9	of	of	ADP
ijassa-1370	64	10	a	a	DET
ijassa-1370	64	11	given	give	VERB
ijassa-1370	64	12	object	object	NOUN
ijassa-1370	64	13	to	to	ADP
ijassa-1370	64	14	any	any	DET
ijassa-1370	64	15	class	class	NOUN
ijassa-1370	64	16	𝛺	𝛺	PROPN
ijassa-1370	64	17	exceeds	exceed	VERB
ijassa-1370	64	18	the	the	DET
ijassa-1370	64	19	measure	measure	NOUN
ijassa-1370	64	20	of	of	ADP
ijassa-1370	64	21	proximity	proximity	NOUN
ijassa-1370	64	22	to	to	ADP
ijassa-1370	64	23	other	other	ADJ
ijassa-1370	64	24	classes	class	NOUN
ijassa-1370	64	25	,	,	PUNCT
ijassa-1370	64	26	then	then	ADV
ijassa-1370	64	27	a	a	DET
ijassa-1370	64	28	decision	decision	NOUN
ijassa-1370	64	29	is	be	AUX
ijassa-1370	64	30	made	make	VERB
ijassa-1370	64	31	on	on	ADP
ijassa-1370	64	32	whether	whether	SCONJ
ijassa-1370	64	33	this	this	DET
ijassa-1370	64	34	object	object	NOUN
ijassa-1370	64	35	belongs	belong	VERB
ijassa-1370	64	36	to	to	ADP
ijassa-1370	64	37	the	the	DET
ijassa-1370	64	38	class	class	NOUN
ijassa-1370	64	39	𝛺	𝛺	ADP
ijassa-1370	64	40	the	the	DET
ijassa-1370	64	41	sixth	sixth	ADJ
ijassa-1370	64	42	task	task	NOUN
ijassa-1370	64	43	is	be	AUX
ijassa-1370	64	44	understood	understand	VERB
ijassa-1370	64	45	as	as	ADP
ijassa-1370	64	46	the	the	DET
ijassa-1370	64	47	development	development	NOUN
ijassa-1370	64	48	of	of	ADP
ijassa-1370	64	49	additional	additional	ADJ
ijassa-1370	64	50	methods	method	NOUN
ijassa-1370	64	51	for	for	ADP
ijassa-1370	64	52	controlling	control	VERB
ijassa-1370	64	53	the	the	DET
ijassa-1370	64	54	recognition	recognition	NOUN
ijassa-1370	64	55	system	system	NOUN
ijassa-1370	64	56	to	to	PART
ijassa-1370	64	57	optimize	optimize	VERB
ijassa-1370	64	58	the	the	DET
ijassa-1370	64	59	functioning	functioning	NOUN
ijassa-1370	64	60	and	and	CCONJ
ijassa-1370	64	61	maximize	maximize	VERB
ijassa-1370	64	62	the	the	DET
ijassa-1370	64	63	selected	select	VERB
ijassa-1370	64	64	criterion	criterion	NOUN
ijassa-1370	64	65	for	for	ADP
ijassa-1370	64	66	the	the	DET
ijassa-1370	64	67	quality	quality	NOUN
ijassa-1370	64	68	of	of	ADP
ijassa-1370	64	69	the	the	DET
ijassa-1370	64	70	system	system	NOUN
ijassa-1370	64	71	.	.	PUNCT
ijassa-1370	65	1	the	the	DET
ijassa-1370	65	2	selection	selection	NOUN
ijassa-1370	65	3	of	of	ADP
ijassa-1370	65	4	criteria	criterion	NOUN
ijassa-1370	65	5	by	by	ADP
ijassa-1370	65	6	which	which	PRON
ijassa-1370	65	7	the	the	DET
ijassa-1370	65	8	effectiveness	effectiveness	NOUN
ijassa-1370	65	9	of	of	ADP
ijassa-1370	65	10	the	the	DET
ijassa-1370	65	11	system	system	NOUN
ijassa-1370	65	12	will	will	AUX
ijassa-1370	65	13	be	be	AUX
ijassa-1370	65	14	evaluated	evaluate	VERB
ijassa-1370	65	15	is	be	AUX
ijassa-1370	65	16	the	the	DET
ijassa-1370	65	17	last	last	ADJ
ijassa-1370	65	18	seventh	seventh	ADJ
ijassa-1370	65	19	task	task	NOUN
ijassa-1370	65	20	.	.	PUNCT
ijassa-1370	66	1	performance	performance	NOUN
ijassa-1370	66	2	indicators	indicator	NOUN
ijassa-1370	66	3	,	,	PUNCT
ijassa-1370	66	4	such	such	ADJ
ijassa-1370	66	5	as	as	ADP
ijassa-1370	66	6	recognition	recognition	NOUN
ijassa-1370	66	7	probability	probability	NOUN
ijassa-1370	66	8	,	,	PUNCT
ijassa-1370	66	9	decision	decision	NOUN
ijassa-1370	66	10	-	-	PUNCT
ijassa-1370	66	11	making	make	VERB
ijassa-1370	66	12	time	time	NOUN
ijassa-1370	66	13	and	and	CCONJ
ijassa-1370	66	14	required	required	ADJ
ijassa-1370	66	15	costs	cost	NOUN
ijassa-1370	66	16	,	,	PUNCT
ijassa-1370	66	17	are	be	AUX
ijassa-1370	66	18	determined	determine	VERB
ijassa-1370	66	19	based	base	VERB
ijassa-1370	66	20	on	on	ADP
ijassa-1370	66	21	experimental	experimental	ADJ
ijassa-1370	66	22	studies	study	NOUN
ijassa-1370	66	23	of	of	ADP
ijassa-1370	66	24	the	the	DET
ijassa-1370	66	25	recognition	recognition	NOUN
ijassa-1370	66	26	system	system	NOUN
ijassa-1370	66	27	using	use	VERB
ijassa-1370	66	28	physical	physical	ADJ
ijassa-1370	66	29	and	and	CCONJ
ijassa-1370	66	30	mathematical	mathematical	ADJ
ijassa-1370	66	31	models	model	NOUN
ijassa-1370	66	32	.	.	PUNCT
ijassa-1370	67	1	these	these	DET
ijassa-1370	67	2	seven	seven	NUM
ijassa-1370	67	3	tasks	task	NOUN
ijassa-1370	67	4	fully	fully	ADV
ijassa-1370	67	5	describe	describe	VERB
ijassa-1370	67	6	the	the	DET
ijassa-1370	67	7	stages	stage	NOUN
ijassa-1370	67	8	of	of	ADP
ijassa-1370	67	9	the	the	DET
ijassa-1370	67	10	recognition	recognition	NOUN
ijassa-1370	67	11	system	system	NOUN
ijassa-1370	67	12	development	development	NOUN
ijassa-1370	67	13	.	.	PUNCT
ijassa-1370	68	1	in	in	ADP
ijassa-1370	68	2	this	this	DET
ijassa-1370	68	3	paper	paper	NOUN
ijassa-1370	68	4	,	,	PUNCT
ijassa-1370	68	5	the	the	DET
ijassa-1370	68	6	recognition	recognition	NOUN
ijassa-1370	68	7	system	system	NOUN
ijassa-1370	68	8	is	be	AUX
ijassa-1370	68	9	based	base	VERB
ijassa-1370	68	10	on	on	ADP
ijassa-1370	68	11	the	the	DET
ijassa-1370	68	12	operation	operation	NOUN
ijassa-1370	68	13	of	of	ADP
ijassa-1370	68	14	two	two	NUM
ijassa-1370	68	15	types	type	NOUN
ijassa-1370	68	16	of	of	ADP
ijassa-1370	68	17	neural	neural	ADJ
ijassa-1370	68	18	networks	network	NOUN
ijassa-1370	68	19	:	:	PUNCT
ijassa-1370	68	20	a	a	DET
ijassa-1370	68	21	multilayer	multilayer	ADJ
ijassa-1370	68	22	perceptron	perceptron	NOUN
ijassa-1370	68	23	and	and	CCONJ
ijassa-1370	68	24	a	a	DET
ijassa-1370	68	25	kohonen	kohonen	PROPN
ijassa-1370	68	26	network	network	NOUN
ijassa-1370	68	27	[	[	X
ijassa-1370	68	28	3	3	NUM
ijassa-1370	68	29	]	]	PUNCT
ijassa-1370	68	30	.	.	PUNCT
ijassa-1370	69	1	4	4	X
ijassa-1370	69	2	.	.	X
ijassa-1370	69	3	relevance	relevance	NOUN
ijassa-1370	69	4	of	of	ADP
ijassa-1370	69	5	the	the	DET
ijassa-1370	69	6	choice	choice	NOUN
ijassa-1370	69	7	of	of	ADP
ijassa-1370	69	8	neural	neural	ADJ
ijassa-1370	69	9	networks	network	NOUN
ijassa-1370	69	10	for	for	ADP
ijassa-1370	69	11	creating	create	VERB
ijassa-1370	69	12	a	a	DET
ijassa-1370	69	13	recognition	recognition	NOUN
ijassa-1370	69	14	system	system	NOUN
ijassa-1370	69	15	artificial	artificial	ADJ
ijassa-1370	69	16	neural	neural	ADJ
ijassa-1370	69	17	network	network	NOUN
ijassa-1370	69	18	(	(	PUNCT
ijassa-1370	69	19	ins	in	NOUN
ijassa-1370	69	20	)	)	PUNCT
ijassa-1370	69	21	is	be	AUX
ijassa-1370	69	22	a	a	DET
ijassa-1370	69	23	mathematical	mathematical	ADJ
ijassa-1370	69	24	model	model	NOUN
ijassa-1370	69	25	,	,	PUNCT
ijassa-1370	69	26	as	as	ADV
ijassa-1370	69	27	well	well	ADV
ijassa-1370	69	28	as	as	ADP
ijassa-1370	69	29	its	its	PRON
ijassa-1370	69	30	software	software	NOUN
ijassa-1370	69	31	or	or	CCONJ
ijassa-1370	69	32	hardware	hardware	NOUN
ijassa-1370	69	33	implementation	implementation	NOUN
ijassa-1370	69	34	,	,	PUNCT
ijassa-1370	69	35	built	build	VERB
ijassa-1370	69	36	on	on	ADP
ijassa-1370	69	37	the	the	DET
ijassa-1370	69	38	principle	principle	NOUN
ijassa-1370	69	39	of	of	ADP
ijassa-1370	69	40	organization	organization	NOUN
ijassa-1370	69	41	and	and	CCONJ
ijassa-1370	69	42	functioning	functioning	NOUN
ijassa-1370	69	43	of	of	ADP
ijassa-1370	69	44	biological	biological	ADJ
ijassa-1370	69	45	neural	neural	ADJ
ijassa-1370	69	46	networks	network	NOUN
ijassa-1370	69	47	–	–	PUNCT
ijassa-1370	69	48	networks	network	NOUN
ijassa-1370	69	49	of	of	ADP
ijassa-1370	69	50	nerve	nerve	NOUN
ijassa-1370	69	51	cells	cell	NOUN
ijassa-1370	69	52	of	of	ADP
ijassa-1370	69	53	a	a	DET
ijassa-1370	69	54	living	live	VERB
ijassa-1370	69	55	organism	organism	NOUN
ijassa-1370	69	56	.	.	PUNCT
ijassa-1370	70	1	this	this	DET
ijassa-1370	70	2	concept	concept	NOUN
ijassa-1370	70	3	arose	arise	VERB
ijassa-1370	70	4	when	when	SCONJ
ijassa-1370	70	5	studying	study	VERB
ijassa-1370	70	6	the	the	DET
ijassa-1370	70	7	processes	process	NOUN
ijassa-1370	70	8	occurring	occur	VERB
ijassa-1370	70	9	in	in	ADP
ijassa-1370	70	10	the	the	DET
ijassa-1370	70	11	brain	brain	NOUN
ijassa-1370	70	12	,	,	PUNCT
ijassa-1370	70	13	and	and	CCONJ
ijassa-1370	70	14	when	when	SCONJ
ijassa-1370	70	15	trying	try	VERB
ijassa-1370	70	16	to	to	PART
ijassa-1370	70	17	simulate	simulate	VERB
ijassa-1370	70	18	these	these	DET
ijassa-1370	70	19	processes	process	NOUN
ijassa-1370	70	20	.	.	PUNCT
ijassa-1370	71	1	the	the	DET
ijassa-1370	71	2	first	first	ADJ
ijassa-1370	71	3	such	such	ADJ
ijassa-1370	71	4	attempt	attempt	NOUN
ijassa-1370	71	5	was	be	AUX
ijassa-1370	71	6	the	the	DET
ijassa-1370	71	7	neural	neural	ADJ
ijassa-1370	71	8	networks	network	NOUN
ijassa-1370	71	9	of	of	ADP
ijassa-1370	71	10	w.	w.	PROPN
ijassa-1370	71	11	mcculloch	mcculloch	PROPN
ijassa-1370	71	12	and	and	CCONJ
ijassa-1370	71	13	w.	w.	PROPN
ijassa-1370	71	14	pitts	pitts	PROPN
ijassa-1370	72	1	[	[	X
ijassa-1370	72	2	4	4	NUM
ijassa-1370	72	3	]	]	PUNCT
ijassa-1370	72	4	,	,	PUNCT
ijassa-1370	72	5	[	[	X
ijassa-1370	72	6	5	5	NUM
ijassa-1370	72	7	]	]	PUNCT
ijassa-1370	72	8	.	.	PUNCT
ijassa-1370	73	1	when	when	SCONJ
ijassa-1370	73	2	performing	perform	VERB
ijassa-1370	73	3	a	a	DET
ijassa-1370	73	4	flight	flight	NOUN
ijassa-1370	73	5	experiment	experiment	NOUN
ijassa-1370	73	6	,	,	PUNCT
ijassa-1370	73	7	each	each	DET
ijassa-1370	73	8	maneuver	maneuver	NOUN
ijassa-1370	73	9	corresponds	correspond	VERB
ijassa-1370	73	10	to	to	ADP
ijassa-1370	73	11	a	a	DET
ijassa-1370	73	12	certain	certain	ADJ
ijassa-1370	73	13	input	input	NOUN
ijassa-1370	73	14	and	and	CCONJ
ijassa-1370	73	15	output	output	NOUN
ijassa-1370	73	16	image	image	NOUN
ijassa-1370	73	17	.	.	PUNCT
ijassa-1370	74	1	obtaining	obtain	VERB
ijassa-1370	74	2	the	the	DET
ijassa-1370	74	3	characteristics	characteristic	NOUN
ijassa-1370	74	4	of	of	ADP
ijassa-1370	74	5	a	a	DET
ijassa-1370	74	6	system	system	NOUN
ijassa-1370	74	7	from	from	ADP
ijassa-1370	74	8	a	a	DET
ijassa-1370	74	9	set	set	NOUN
ijassa-1370	74	10	of	of	ADP
ijassa-1370	74	11	input	input	NOUN
ijassa-1370	74	12	and	and	CCONJ
ijassa-1370	74	13	output	output	NOUN
ijassa-1370	74	14	signals	signal	NOUN
ijassa-1370	74	15	is	be	AUX
ijassa-1370	74	16	a	a	DET
ijassa-1370	74	17	nonlinear	nonlinear	ADJ
ijassa-1370	74	18	task	task	NOUN
ijassa-1370	74	19	.	.	PUNCT
ijassa-1370	75	1	as	as	SCONJ
ijassa-1370	75	2	described	describe	VERB
ijassa-1370	75	3	above	above	ADV
ijassa-1370	75	4	,	,	PUNCT
ijassa-1370	75	5	algorithms	algorithm	NOUN
ijassa-1370	75	6	based	base	VERB
ijassa-1370	75	7	on	on	ADP
ijassa-1370	75	8	the	the	DET
ijassa-1370	75	9	use	use	NOUN
ijassa-1370	75	10	of	of	ADP
ijassa-1370	75	11	multilayer	multilayer	ADJ
ijassa-1370	75	12	perceptrons	perceptron	NOUN
ijassa-1370	75	13	are	be	AUX
ijassa-1370	75	14	suitable	suitable	ADJ
ijassa-1370	75	15	for	for	ADP
ijassa-1370	75	16	such	such	ADJ
ijassa-1370	75	17	tasks	task	NOUN
ijassa-1370	75	18	.	.	PUNCT
ijassa-1370	76	1	kohonen	kohonen	PROPN
ijassa-1370	76	2	networks	network	NOUN
ijassa-1370	76	3	are	be	AUX
ijassa-1370	76	4	used	use	VERB
ijassa-1370	76	5	to	to	PART
ijassa-1370	76	6	solve	solve	VERB
ijassa-1370	76	7	the	the	DET
ijassa-1370	76	8	recognition	recognition	NOUN
ijassa-1370	76	9	problem	problem	NOUN
ijassa-1370	76	10	.	.	PUNCT
ijassa-1370	77	1	kohonen	kohonen	PROPN
ijassa-1370	77	2	networks	network	NOUN
ijassa-1370	77	3	are	be	AUX
ijassa-1370	77	4	a	a	DET
ijassa-1370	77	5	type	type	NOUN
ijassa-1370	77	6	of	of	ADP
ijassa-1370	77	7	networks	network	NOUN
ijassa-1370	77	8	that	that	PRON
ijassa-1370	77	9	learn	learn	VERB
ijassa-1370	77	10	"	"	PUNCT
ijassa-1370	77	11	without	without	ADP
ijassa-1370	77	12	a	a	DET
ijassa-1370	77	13	teacher	teacher	NOUN
ijassa-1370	77	14	"	"	PUNCT
ijassa-1370	77	15	.	.	PUNCT
ijassa-1370	78	1	the	the	DET
ijassa-1370	78	2	network	network	NOUN
ijassa-1370	78	3	consists	consist	VERB
ijassa-1370	78	4	of	of	ADP
ijassa-1370	78	5	one	one	NUM
ijassa-1370	78	6	layer	layer	NOUN
ijassa-1370	78	7	of	of	ADP
ijassa-1370	78	8	adjustable	adjustable	ADJ
ijassa-1370	78	9	weights	weight	NOUN
ijassa-1370	78	10	(	(	PUNCT
ijassa-1370	78	11	fig	fig	NOUN
ijassa-1370	78	12	.	.	NOUN
ijassa-1370	79	1	1	1	NUM
ijassa-1370	79	2	)	)	PUNCT
ijassa-1370	80	1	and	and	CCONJ
ijassa-1370	80	2	functions	function	NOUN
ijassa-1370	80	3	in	in	ADP
ijassa-1370	80	4	the	the	DET
ijassa-1370	80	5	spirit	spirit	NOUN
ijassa-1370	80	6	of	of	ADP
ijassa-1370	80	7	a	a	DET
ijassa-1370	80	8	strategy	strategy	NOUN
ijassa-1370	80	9	according	accord	VERB
ijassa-1370	80	10	to	to	ADP
ijassa-1370	80	11	which	which	PRON
ijassa-1370	80	12	the	the	DET
ijassa-1370	80	13	winner	winner	NOUN
ijassa-1370	80	14	takes	take	VERB
ijassa-1370	80	15	everything	everything	PRON
ijassa-1370	80	16	,	,	PUNCT
ijassa-1370	80	17	i.e.	i.e.	X
ijassa-1370	80	18	only	only	ADV
ijassa-1370	80	19	one	one	NUM
ijassa-1370	80	20	neuron	neuron	NOUN
ijassa-1370	80	21	is	be	AUX
ijassa-1370	80	22	excited	excited	ADJ
ijassa-1370	80	23	,	,	PUNCT
ijassa-1370	80	24	the	the	DET
ijassa-1370	80	25	remaining	remain	VERB
ijassa-1370	80	26	outputs	output	NOUN
ijassa-1370	80	27	of	of	ADP
ijassa-1370	80	28	the	the	DET
ijassa-1370	80	29	layer	layer	NOUN
ijassa-1370	80	30	are	be	AUX
ijassa-1370	80	31	suppressed	suppress	VERB
ijassa-1370	80	32	,	,	PUNCT
ijassa-1370	80	33	the	the	DET
ijassa-1370	80	34	outputs	output	NOUN
ijassa-1370	80	35	of	of	ADP
ijassa-1370	80	36	the	the	DET
ijassa-1370	80	37	network	network	NOUN
ijassa-1370	80	38	are	be	AUX
ijassa-1370	80	39	:	:	PUNCT
ijassa-1370	80	40	𝑦	𝑦	X
ijassa-1370	80	41	=	=	SYM
ijassa-1370	80	42	𝑤	𝑤	PART
ijassa-1370	80	43	𝑥	𝑥	PROPN
ijassa-1370	80	44	,	,	PUNCT
ijassa-1370	80	45	∃𝑘	∃𝑘	PROPN
ijassa-1370	80	46	:	:	PUNCT
ijassa-1370	80	47	𝑦	𝑦	NOUN
ijassa-1370	80	48	=	=	SYM
ijassa-1370	80	49	1	1	NUM
ijassa-1370	80	50	,	,	PUNCT
ijassa-1370	80	51	𝑦	𝑦	NOUN
ijassa-1370	80	52	=	=	SYM
ijassa-1370	80	53	0	0	NUM
ijassa-1370	80	54	.	.	PUNCT
ijassa-1370	81	1	(	(	PUNCT
ijassa-1370	81	2	3	3	X
ijassa-1370	81	3	)	)	PUNCT
ijassa-1370	81	4	fig	fig	NOUN
ijassa-1370	81	5	.	.	PUNCT
ijassa-1370	82	1	1	1	X
ijassa-1370	82	2	.	.	X
ijassa-1370	82	3	kohonen	kohonen	PROPN
ijassa-1370	82	4	network	network	PROPN
ijassa-1370	82	5	130	130	NUM
ijassa-1370	82	6	akhrameev	akhrameev	PROPN
ijassa-1370	82	7	v.	v.	PROPN
ijassa-1370	82	8	,	,	PUNCT
ijassa-1370	82	9	tsvetkov	tsvetkov	PROPN
ijassa-1370	82	10	e.	e.	PROPN
ijassa-1370	82	11	,	,	PUNCT
ijassa-1370	82	12	pashchenko	pashchenko	ADJ
ijassa-1370	82	13	a.	a.	NOUN
ijassa-1370	82	14	copyright	copyright	NOUN
ijassa-1370	83	1	©	©	PROPN
ijassa-1370	83	2	2023	2023	NUM
ijassa-1370	83	3	assa	assa	PROPN
ijassa-1370	83	4	adv	adv	PROPN
ijassa-1370	83	5	.	.	PUNCT
ijassa-1370	84	1	in	in	ADP
ijassa-1370	84	2	systems	system	NOUN
ijassa-1370	84	3	science	science	NOUN
ijassa-1370	84	4	and	and	CCONJ
ijassa-1370	84	5	appl	appl	NOUN
ijassa-1370	84	6	.	.	PUNCT
ijassa-1370	85	1	(	(	PUNCT
ijassa-1370	85	2	2023	2023	NUM
ijassa-1370	85	3	)	)	PUNCT
ijassa-1370	85	4	the	the	DET
ijassa-1370	85	5	kohonen	kohonen	PROPN
ijassa-1370	85	6	network	network	PROPN
ijassa-1370	85	7	classifies	classify	VERB
ijassa-1370	85	8	input	input	NOUN
ijassa-1370	85	9	vectors	vector	NOUN
ijassa-1370	85	10	into	into	ADP
ijassa-1370	85	11	groups	group	NOUN
ijassa-1370	85	12	of	of	ADP
ijassa-1370	85	13	similar	similar	ADJ
ijassa-1370	85	14	ones	one	NOUN
ijassa-1370	85	15	,	,	PUNCT
ijassa-1370	85	16	adjusting	adjust	VERB
ijassa-1370	85	17	the	the	DET
ijassa-1370	85	18	weights	weight	NOUN
ijassa-1370	85	19	so	so	SCONJ
ijassa-1370	85	20	that	that	SCONJ
ijassa-1370	85	21	input	input	NOUN
ijassa-1370	85	22	images	image	NOUN
ijassa-1370	85	23	belonging	belong	VERB
ijassa-1370	85	24	to	to	ADP
ijassa-1370	85	25	the	the	DET
ijassa-1370	85	26	same	same	ADJ
ijassa-1370	85	27	class	class	NOUN
ijassa-1370	85	28	will	will	AUX
ijassa-1370	85	29	activate	activate	VERB
ijassa-1370	85	30	the	the	DET
ijassa-1370	85	31	same	same	ADJ
ijassa-1370	85	32	output	output	NOUN
ijassa-1370	85	33	neuron	neuron	NOUN
ijassa-1370	85	34	𝑦	𝑦	NOUN
ijassa-1370	85	35	.	.	PUNCT
ijassa-1370	86	1	it	it	PRON
ijassa-1370	86	2	is	be	AUX
ijassa-1370	86	3	essential	essential	ADJ
ijassa-1370	86	4	to	to	PART
ijassa-1370	86	5	note	note	VERB
ijassa-1370	86	6	that	that	SCONJ
ijassa-1370	86	7	all	all	DET
ijassa-1370	86	8	input	input	NOUN
ijassa-1370	86	9	vectors	vector	NOUN
ijassa-1370	86	10	{	{	PUNCT
ijassa-1370	86	11	𝑥	𝑥	X
ijassa-1370	86	12	}	}	PUNCT
ijassa-1370	86	13	must	must	AUX
ijassa-1370	86	14	be	be	AUX
ijassa-1370	86	15	normalized	normalize	VERB
ijassa-1370	86	16	.	.	PUNCT
ijassa-1370	87	1	at	at	ADP
ijassa-1370	87	2	each	each	DET
ijassa-1370	87	3	training	training	NOUN
ijassa-1370	87	4	step	step	NOUN
ijassa-1370	87	5	,	,	PUNCT
ijassa-1370	87	6	the	the	DET
ijassa-1370	87	7	output	output	NOUN
ijassa-1370	87	8	neuron	neuron	NOUN
ijassa-1370	87	9	with	with	ADP
ijassa-1370	87	10	the	the	DET
ijassa-1370	87	11	maximum	maximum	ADJ
ijassa-1370	87	12	value	value	NOUN
ijassa-1370	87	13	is	be	AUX
ijassa-1370	87	14	selected	select	VERB
ijassa-1370	87	15	.	.	PUNCT
ijassa-1370	88	1	its	its	PRON
ijassa-1370	88	2	weights	weight	NOUN
ijassa-1370	88	3	are	be	AUX
ijassa-1370	88	4	adjusted	adjust	VERB
ijassa-1370	88	5	as	as	SCONJ
ijassa-1370	88	6	follows	follow	VERB
ijassa-1370	88	7	:	:	PUNCT
ijassa-1370	88	8	𝑤	𝑤	X
ijassa-1370	88	9	=	=	SYM
ijassa-1370	88	10	𝑤	𝑤	PROPN
ijassa-1370	88	11	+	+	NUM
ijassa-1370	88	12	𝜇(𝑥	𝜇(𝑥	PROPN
ijassa-1370	88	13	−	−	PROPN
ijassa-1370	88	14	𝑤	𝑤	X
ijassa-1370	88	15	)	)	PUNCT
ijassa-1370	88	16	(	(	PUNCT
ijassa-1370	88	17	4	4	X
ijassa-1370	88	18	)	)	PUNCT
ijassa-1370	88	19	where	where	SCONJ
ijassa-1370	88	20	𝑤	𝑤	X
ijassa-1370	88	21	–	–	PUNCT
ijassa-1370	88	22	is	be	AUX
ijassa-1370	88	23	the	the	DET
ijassa-1370	88	24	new	new	ADJ
ijassa-1370	88	25	weight	weight	NOUN
ijassa-1370	88	26	value	value	NOUN
ijassa-1370	88	27	.	.	PUNCT
ijassa-1370	89	1	adjusting	adjust	VERB
ijassa-1370	89	2	the	the	DET
ijassa-1370	89	3	weights	weight	NOUN
ijassa-1370	89	4	in	in	ADP
ijassa-1370	89	5	a	a	DET
ijassa-1370	89	6	similar	similar	ADJ
ijassa-1370	89	7	way	way	NOUN
ijassa-1370	89	8	reduces	reduce	VERB
ijassa-1370	89	9	to	to	ADP
ijassa-1370	89	10	minimizing	minimize	VERB
ijassa-1370	89	11	the	the	DET
ijassa-1370	89	12	difference	difference	NOUN
ijassa-1370	89	13	between	between	ADP
ijassa-1370	89	14	the	the	DET
ijassa-1370	89	15	input	input	NOUN
ijassa-1370	89	16	vector	vector	NOUN
ijassa-1370	89	17	and	and	CCONJ
ijassa-1370	89	18	the	the	DET
ijassa-1370	89	19	vector	vector	NOUN
ijassa-1370	89	20	of	of	ADP
ijassa-1370	89	21	weights	weight	NOUN
ijassa-1370	89	22	of	of	ADP
ijassa-1370	89	23	the	the	DET
ijassa-1370	89	24	selected	select	VERB
ijassa-1370	89	25	neuron	neuron	NOUN
ijassa-1370	89	26	.	.	PUNCT
ijassa-1370	90	1	at	at	ADP
ijassa-1370	90	2	the	the	DET
ijassa-1370	90	3	end	end	NOUN
ijassa-1370	90	4	of	of	ADP
ijassa-1370	90	5	training	training	NOUN
ijassa-1370	90	6	,	,	PUNCT
ijassa-1370	90	7	neurons	neuron	NOUN
ijassa-1370	90	8	corresponding	correspond	VERB
ijassa-1370	90	9	to	to	ADP
ijassa-1370	90	10	two	two	NUM
ijassa-1370	90	11	close	close	ADJ
ijassa-1370	90	12	classes	class	NOUN
ijassa-1370	90	13	can	can	AUX
ijassa-1370	90	14	be	be	AUX
ijassa-1370	90	15	at	at	ADP
ijassa-1370	90	16	a	a	DET
ijassa-1370	90	17	significant	significant	ADJ
ijassa-1370	90	18	"	"	PUNCT
ijassa-1370	90	19	distance	distance	NOUN
ijassa-1370	90	20	"	"	PUNCT
ijassa-1370	90	21	from	from	ADP
ijassa-1370	90	22	each	each	DET
ijassa-1370	90	23	other	other	ADJ
ijassa-1370	90	24	.	.	PUNCT
ijassa-1370	91	1	in	in	ADP
ijassa-1370	91	2	order	order	NOUN
ijassa-1370	91	3	for	for	SCONJ
ijassa-1370	91	4	them	they	PRON
ijassa-1370	91	5	to	to	PART
ijassa-1370	91	6	be	be	AUX
ijassa-1370	91	7	located	locate	VERB
ijassa-1370	91	8	side	side	NOUN
ijassa-1370	91	9	by	by	ADP
ijassa-1370	91	10	side	side	NOUN
ijassa-1370	91	11	,	,	PUNCT
ijassa-1370	91	12	you	you	PRON
ijassa-1370	91	13	can	can	AUX
ijassa-1370	91	14	use	use	VERB
ijassa-1370	91	15	a	a	DET
ijassa-1370	91	16	learning	learning	NOUN
ijassa-1370	91	17	algorithm	algorithm	NOUN
ijassa-1370	91	18	that	that	PRON
ijassa-1370	91	19	changes	change	VERB
ijassa-1370	91	20	the	the	DET
ijassa-1370	91	21	weights	weight	NOUN
ijassa-1370	91	22	of	of	ADP
ijassa-1370	91	23	not	not	PART
ijassa-1370	91	24	only	only	ADV
ijassa-1370	91	25	the	the	DET
ijassa-1370	91	26	winning	win	VERB
ijassa-1370	91	27	neuron	neuron	NOUN
ijassa-1370	91	28	,	,	PUNCT
ijassa-1370	91	29	but	but	CCONJ
ijassa-1370	91	30	also	also	ADV
ijassa-1370	91	31	the	the	DET
ijassa-1370	91	32	weights	weight	NOUN
ijassa-1370	91	33	of	of	ADP
ijassa-1370	91	34	neighboring	neighboring	NOUN
ijassa-1370	91	35	neurons	neuron	NOUN
ijassa-1370	91	36	.	.	PUNCT
ijassa-1370	92	1	we	we	PRON
ijassa-1370	92	2	introduce	introduce	VERB
ijassa-1370	92	3	a	a	DET
ijassa-1370	92	4	function	function	NOUN
ijassa-1370	92	5	having	have	VERB
ijassa-1370	92	6	a	a	DET
ijassa-1370	92	7	maximum	maximum	ADJ
ijassa-1370	92	8	equal	equal	ADJ
ijassa-1370	92	9	to	to	ADP
ijassa-1370	92	10	one	one	NUM
ijassa-1370	92	11	at	at	ADP
ijassa-1370	92	12	zero	zero	NUM
ijassa-1370	92	13	and	and	CCONJ
ijassa-1370	92	14	decreasing	decrease	VERB
ijassa-1370	92	15	to	to	ADP
ijassa-1370	92	16	zero	zero	NUM
ijassa-1370	92	17	at	at	ADP
ijassa-1370	92	18	infinity	infinity	NOUN
ijassa-1370	92	19	.	.	PUNCT
ijassa-1370	93	1	a	a	DET
ijassa-1370	93	2	typical	typical	ADJ
ijassa-1370	93	3	example	example	NOUN
ijassa-1370	93	4	of	of	ADP
ijassa-1370	93	5	such	such	DET
ijassa-1370	93	6	a	a	DET
ijassa-1370	93	7	function	function	NOUN
ijassa-1370	93	8	satisfying	satisfy	VERB
ijassa-1370	93	9	the	the	DET
ijassa-1370	93	10	requirements	requirement	NOUN
ijassa-1370	93	11	is	be	AUX
ijassa-1370	93	12	the	the	DET
ijassa-1370	93	13	gaussian	gaussian	ADJ
ijassa-1370	93	14	function	function	NOUN
ijassa-1370	93	15	:	:	PUNCT
ijassa-1370	93	16	in	in	ADP
ijassa-1370	93	17	this	this	DET
ijassa-1370	93	18	work	work	NOUN
ijassa-1370	93	19	,	,	PUNCT
ijassa-1370	93	20	a	a	DET
ijassa-1370	93	21	network	network	NOUN
ijassa-1370	93	22	with	with	ADP
ijassa-1370	93	23	output	output	NOUN
ijassa-1370	93	24	neurons	neuron	NOUN
ijassa-1370	93	25	arranged	arrange	VERB
ijassa-1370	93	26	in	in	ADP
ijassa-1370	93	27	a	a	DET
ijassa-1370	93	28	row	row	NOUN
ijassa-1370	93	29	is	be	AUX
ijassa-1370	93	30	used	use	VERB
ijassa-1370	93	31	.	.	PUNCT
ijassa-1370	94	1	therefore	therefore	ADV
ijassa-1370	94	2	,	,	PUNCT
ijassa-1370	94	3	the	the	DET
ijassa-1370	94	4	algorithm	algorithm	NOUN
ijassa-1370	94	5	can	can	AUX
ijassa-1370	94	6	be	be	AUX
ijassa-1370	94	7	simplified	simplify	VERB
ijassa-1370	94	8	to	to	ADP
ijassa-1370	94	9	a	a	DET
ijassa-1370	94	10	discrete	discrete	ADJ
ijassa-1370	94	11	model	model	NOUN
ijassa-1370	94	12	in	in	ADP
ijassa-1370	94	13	which	which	PRON
ijassa-1370	94	14	,	,	PUNCT
ijassa-1370	94	15	in	in	ADP
ijassa-1370	94	16	addition	addition	NOUN
ijassa-1370	94	17	to	to	ADP
ijassa-1370	94	18	the	the	DET
ijassa-1370	94	19	winning	win	VERB
ijassa-1370	94	20	neuron	neuron	NOUN
ijassa-1370	94	21	,	,	PUNCT
ijassa-1370	94	22	the	the	DET
ijassa-1370	94	23	weights	weight	NOUN
ijassa-1370	94	24	of	of	ADP
ijassa-1370	94	25	only	only	ADV
ijassa-1370	94	26	two	two	NUM
ijassa-1370	94	27	neighboring	neighbor	VERB
ijassa-1370	94	28	neurons	neuron	NOUN
ijassa-1370	94	29	change	change	NOUN
ijassa-1370	94	30	:	:	PUNCT
ijassa-1370	94	31	𝑤	𝑤	PART
ijassa-1370	94	32	±	±	NUM
ijassa-1370	94	33	=	=	SYM
ijassa-1370	94	34	𝑤	𝑤	ADP
ijassa-1370	94	35	±	±	NOUN
ijassa-1370	94	36	+	+	CCONJ
ijassa-1370	94	37	0.1	0.1	NUM
ijassa-1370	94	38	×	×	NOUN
ijassa-1370	94	39	𝜇	𝜇	ADP
ijassa-1370	94	40	𝑥	𝑥	X
ijassa-1370	94	41	−	−	PROPN
ijassa-1370	94	42	𝑤	𝑤	SYM
ijassa-1370	94	43	±	±	NOUN
ijassa-1370	94	44	(	(	PUNCT
ijassa-1370	94	45	5	5	NUM
ijassa-1370	94	46	)	)	PUNCT
ijassa-1370	94	47	thus	thus	ADV
ijassa-1370	94	48	,	,	PUNCT
ijassa-1370	94	49	the	the	DET
ijassa-1370	94	50	output	output	NOUN
ijassa-1370	94	51	neurons	neuron	NOUN
ijassa-1370	94	52	corresponding	correspond	VERB
ijassa-1370	94	53	to	to	ADP
ijassa-1370	94	54	one	one	NUM
ijassa-1370	94	55	class	class	NOUN
ijassa-1370	94	56	of	of	ADP
ijassa-1370	94	57	images	image	NOUN
ijassa-1370	94	58	will	will	AUX
ijassa-1370	94	59	be	be	AUX
ijassa-1370	94	60	adjacent	adjacent	ADJ
ijassa-1370	94	61	.	.	PUNCT
ijassa-1370	95	1	compared	compare	VERB
ijassa-1370	95	2	to	to	ADP
ijassa-1370	95	3	a	a	DET
ijassa-1370	95	4	multilayer	multilayer	ADJ
ijassa-1370	95	5	perceptron	perceptron	NOUN
ijassa-1370	95	6	,	,	PUNCT
ijassa-1370	95	7	the	the	DET
ijassa-1370	95	8	kohonen	kohonen	PROPN
ijassa-1370	95	9	network	network	NOUN
ijassa-1370	95	10	is	be	AUX
ijassa-1370	95	11	resistant	resistant	ADJ
ijassa-1370	95	12	to	to	ADP
ijassa-1370	95	13	noise	noise	NOUN
ijassa-1370	95	14	of	of	ADP
ijassa-1370	95	15	small	small	ADJ
ijassa-1370	95	16	amplitude	amplitude	NOUN
ijassa-1370	95	17	,	,	PUNCT
ijassa-1370	95	18	which	which	PRON
ijassa-1370	95	19	is	be	AUX
ijassa-1370	95	20	always	always	ADV
ijassa-1370	95	21	present	present	ADJ
ijassa-1370	95	22	in	in	ADP
ijassa-1370	95	23	real	real	ADJ
ijassa-1370	95	24	data	datum	NOUN
ijassa-1370	95	25	obtained	obtain	VERB
ijassa-1370	95	26	in	in	ADP
ijassa-1370	95	27	a	a	DET
ijassa-1370	95	28	flight	flight	NOUN
ijassa-1370	95	29	experiment	experiment	NOUN
ijassa-1370	95	30	.	.	PUNCT
ijassa-1370	96	1	as	as	ADP
ijassa-1370	96	2	a	a	DET
ijassa-1370	96	3	result	result	NOUN
ijassa-1370	96	4	,	,	PUNCT
ijassa-1370	96	5	the	the	DET
ijassa-1370	96	6	flight	flight	NOUN
ijassa-1370	96	7	mode	mode	NOUN
ijassa-1370	96	8	search	search	NOUN
ijassa-1370	96	9	algorithm	algorithm	NOUN
ijassa-1370	96	10	uses	use	VERB
ijassa-1370	96	11	a	a	DET
ijassa-1370	96	12	combination	combination	NOUN
ijassa-1370	96	13	of	of	ADP
ijassa-1370	96	14	two	two	NUM
ijassa-1370	96	15	networks	network	NOUN
ijassa-1370	96	16	.	.	PUNCT
ijassa-1370	97	1	the	the	DET
ijassa-1370	97	2	first	first	ADJ
ijassa-1370	97	3	model	model	NOUN
ijassa-1370	97	4	,	,	PUNCT
ijassa-1370	97	5	kohonen	kohonen	PROPN
ijassa-1370	97	6	's	's	PART
ijassa-1370	97	7	neural	neural	ADJ
ijassa-1370	97	8	network	network	NOUN
ijassa-1370	97	9	,	,	PUNCT
ijassa-1370	97	10	is	be	AUX
ijassa-1370	97	11	used	use	VERB
ijassa-1370	97	12	to	to	PART
ijassa-1370	97	13	compress	compress	VERB
ijassa-1370	97	14	the	the	DET
ijassa-1370	97	15	input	input	NOUN
ijassa-1370	97	16	vector	vector	NOUN
ijassa-1370	97	17	.	.	PUNCT
ijassa-1370	98	1	the	the	DET
ijassa-1370	98	2	second	second	ADJ
ijassa-1370	98	3	network	network	NOUN
ijassa-1370	98	4	,	,	PUNCT
ijassa-1370	98	5	the	the	DET
ijassa-1370	98	6	multilayer	multilayer	PROPN
ijassa-1370	98	7	perceptron	perceptron	PROPN
ijassa-1370	98	8	,	,	PUNCT
ijassa-1370	98	9	determines	determine	VERB
ijassa-1370	98	10	how	how	SCONJ
ijassa-1370	98	11	much	much	ADJ
ijassa-1370	98	12	this	this	DET
ijassa-1370	98	13	mode	mode	NOUN
ijassa-1370	98	14	corresponds	correspond	VERB
ijassa-1370	98	15	to	to	ADP
ijassa-1370	98	16	a	a	DET
ijassa-1370	98	17	certain	certain	ADJ
ijassa-1370	98	18	reference	reference	NOUN
ijassa-1370	98	19	image	image	NOUN
ijassa-1370	98	20	.	.	PUNCT
ijassa-1370	99	1	5	5	X
ijassa-1370	99	2	.	.	X
ijassa-1370	99	3	results	result	NOUN
ijassa-1370	99	4	of	of	ADP
ijassa-1370	99	5	mathematical	mathematical	ADJ
ijassa-1370	99	6	modeling	modeling	NOUN
ijassa-1370	99	7	5.1	5.1	NUM
ijassa-1370	99	8	.	.	PUNCT
ijassa-1370	100	1	setting	set	VERB
ijassa-1370	100	2	up	up	ADP
ijassa-1370	100	3	a	a	DET
ijassa-1370	100	4	numerical	numerical	ADJ
ijassa-1370	100	5	experiment	experiment	NOUN
ijassa-1370	100	6	in	in	ADP
ijassa-1370	100	7	this	this	DET
ijassa-1370	100	8	work	work	NOUN
ijassa-1370	100	9	,	,	PUNCT
ijassa-1370	100	10	a	a	DET
ijassa-1370	100	11	computer	computer	NOUN
ijassa-1370	100	12	simulation	simulation	NOUN
ijassa-1370	100	13	of	of	ADP
ijassa-1370	100	14	the	the	DET
ijassa-1370	100	15	giving	giving	NOUN
ijassa-1370	100	16	of	of	ADP
ijassa-1370	100	17	elevators	elevator	NOUN
ijassa-1370	100	18	was	be	AUX
ijassa-1370	100	19	carried	carry	VERB
ijassa-1370	100	20	out	out	ADP
ijassa-1370	100	21	.	.	PUNCT
ijassa-1370	101	1	the	the	DET
ijassa-1370	101	2	longitudinal	longitudinal	ADJ
ijassa-1370	101	3	channel	channel	NOUN
ijassa-1370	101	4	of	of	ADP
ijassa-1370	101	5	the	the	DET
ijassa-1370	101	6	aircraft	aircraft	NOUN
ijassa-1370	101	7	movement	movement	NOUN
ijassa-1370	101	8	in	in	ADP
ijassa-1370	101	9	this	this	DET
ijassa-1370	101	10	case	case	NOUN
ijassa-1370	101	11	is	be	AUX
ijassa-1370	101	12	described	describe	VERB
ijassa-1370	101	13	by	by	ADP
ijassa-1370	101	14	the	the	DET
ijassa-1370	101	15	equations	equation	NOUN
ijassa-1370	101	16	𝐼	𝐼	PROPN
ijassa-1370	101	17	�	�	PROPN
ijassa-1370	101	18	̇	̇	PROPN
ijassa-1370	101	19	�	�	PROPN
ijassa-1370	101	20	=	=	SYM
ijassa-1370	101	21	𝑀	𝑀	PROPN
ijassa-1370	101	22	𝛼	𝛼	NOUN
ijassa-1370	101	23	+	+	NOUN
ijassa-1370	101	24	𝑀	𝑀	PROPN
ijassa-1370	101	25	𝜔	𝜔	PROPN
ijassa-1370	101	26	+	+	NOUN
ijassa-1370	101	27	𝑀	𝑀	PROPN
ijassa-1370	101	28	в𝛿	в𝛿	NOUN
ijassa-1370	101	29	,	,	PUNCT
ijassa-1370	101	30	(	(	PUNCT
ijassa-1370	101	31	6	6	NUM
ijassa-1370	101	32	)	)	PUNCT
ijassa-1370	101	33	�	�	PROPN
ijassa-1370	101	34	̇	̇	VERB
ijassa-1370	101	35	�	�	PROPN
ijassa-1370	101	36	=	=	PUNCT
ijassa-1370	102	1	𝜔	𝜔	PRON
ijassa-1370	102	2	−	−	NOUN
ijassa-1370	102	3	𝑛	𝑛	PRON
ijassa-1370	102	4	−	−	PROPN
ijassa-1370	102	5	cos	cos	PROPN
ijassa-1370	102	6	𝛼	𝛼	PROPN
ijassa-1370	102	7	𝑔/𝑉	𝑔/𝑉	PROPN
ijassa-1370	102	8	,	,	PUNCT
ijassa-1370	102	9	(	(	PUNCT
ijassa-1370	102	10	7	7	NUM
ijassa-1370	102	11	)	)	PUNCT
ijassa-1370	102	12	𝑛	𝑛	PROPN
ijassa-1370	102	13	=	=	SYM
ijassa-1370	102	14	𝐶	𝐶	PROPN
ijassa-1370	102	15	𝛼	𝛼	PROPN
ijassa-1370	102	16	+	+	PROPN
ijassa-1370	102	17	𝐶	𝐶	PROPN
ijassa-1370	102	18	𝛿	𝛿	ADJ
ijassa-1370	102	19	𝑞𝑆/𝑚𝑔.	𝑞𝑆/𝑚𝑔.	PUNCT
ijassa-1370	102	20	(	(	PUNCT
ijassa-1370	102	21	8)	8)	NUM
ijassa-1370	102	22	in	in	ADP
ijassa-1370	102	23	all	all	DET
ijassa-1370	102	24	simulations	simulation	NOUN
ijassa-1370	102	25	,	,	PUNCT
ijassa-1370	102	26	the	the	DET
ijassa-1370	102	27	time	time	NOUN
ijassa-1370	102	28	values	value	NOUN
ijassa-1370	102	29	of	of	ADP
ijassa-1370	102	30	four	four	NUM
ijassa-1370	102	31	parameters	parameter	NOUN
ijassa-1370	102	32	were	be	AUX
ijassa-1370	102	33	recorded	record	VERB
ijassa-1370	102	34	:	:	PUNCT
ijassa-1370	102	35	angle	angle	NOUN
ijassa-1370	102	36	of	of	ADP
ijassa-1370	102	37	attack	attack	NOUN
ijassa-1370	102	38	–	–	PUNCT
ijassa-1370	102	39	𝛼	𝛼	X
ijassa-1370	102	40	,	,	PUNCT
ijassa-1370	102	41	angular	angular	ADJ
ijassa-1370	102	42	velocity	velocity	NOUN
ijassa-1370	102	43	–	–	PUNCT
ijassa-1370	102	44	𝜔	𝜔	ADP
ijassa-1370	102	45	,	,	PUNCT
ijassa-1370	102	46	vertical	vertical	ADJ
ijassa-1370	102	47	acceleration	acceleration	NOUN
ijassa-1370	102	48	–	–	PUNCT
ijassa-1370	102	49	𝑛	𝑛	NOUN
ijassa-1370	102	50	,	,	PUNCT
ijassa-1370	102	51	elevator	elevator	NOUN
ijassa-1370	102	52	deflection	deflection	NOUN
ijassa-1370	102	53	–	–	PUNCT
ijassa-1370	102	54	𝛿	𝛿	X
ijassa-1370	102	55	.	.	PUNCT
ijassa-1370	103	1	the	the	DET
ijassa-1370	103	2	resulting	result	VERB
ijassa-1370	103	3	recordings	recording	NOUN
ijassa-1370	103	4	were	be	AUX
ijassa-1370	103	5	also	also	ADV
ijassa-1370	103	6	overlaid	overlay	VERB
ijassa-1370	103	7	with	with	ADP
ijassa-1370	103	8	noise	noise	NOUN
ijassa-1370	103	9	with	with	ADP
ijassa-1370	103	10	a	a	DET
ijassa-1370	103	11	relative	relative	ADJ
ijassa-1370	103	12	amplitude	amplitude	NOUN
ijassa-1370	103	13	of	of	ADP
ijassa-1370	103	14	5	5	NUM
ijassa-1370	103	15	%	%	NOUN
ijassa-1370	103	16	.	.	PUNCT
ijassa-1370	104	1	fig	fig	NOUN
ijassa-1370	104	2	.	.	PUNCT
ijassa-1370	105	1	2	2	NUM
ijassa-1370	105	2	shows	show	VERB
ijassa-1370	105	3	an	an	DET
ijassa-1370	105	4	example	example	NOUN
ijassa-1370	105	5	of	of	ADP
ijassa-1370	105	6	the	the	DET
ijassa-1370	105	7	result	result	NOUN
ijassa-1370	105	8	of	of	ADP
ijassa-1370	105	9	computer	computer	NOUN
ijassa-1370	105	10	simulation	simulation	NOUN
ijassa-1370	105	11	of	of	ADP
ijassa-1370	105	12	the	the	DET
ijassa-1370	105	13	parameters	parameter	NOUN
ijassa-1370	105	14	of	of	ADP
ijassa-1370	105	15	the	the	DET
ijassa-1370	105	16	longitudinal	longitudinal	ADJ
ijassa-1370	105	17	motion	motion	NOUN
ijassa-1370	105	18	of	of	ADP
ijassa-1370	105	19	the	the	DET
ijassa-1370	105	20	aircraft	aircraft	NOUN
ijassa-1370	105	21	in	in	ADP
ijassa-1370	105	22	the	the	DET
ijassa-1370	105	23	test	test	NOUN
ijassa-1370	105	24	mode	mode	NOUN
ijassa-1370	105	25	when	when	SCONJ
ijassa-1370	105	26	performing	perform	VERB
ijassa-1370	105	27	an	an	DET
ijassa-1370	105	28	altitude	altitude	NOUN
ijassa-1370	105	29	control	control	NOUN
ijassa-1370	105	30	.	.	PUNCT
ijassa-1370	106	1	quality	quality	NOUN
ijassa-1370	106	2	control	control	NOUN
ijassa-1370	106	3	of	of	ADP
ijassa-1370	106	4	a	a	DET
ijassa-1370	106	5	real	real	ADJ
ijassa-1370	106	6	-	-	PUNCT
ijassa-1370	106	7	time	time	NOUN
ijassa-1370	106	8	flight	flight	NOUN
ijassa-1370	106	9	experiment	experiment	NOUN
ijassa-1370	106	10	…	…	PUNCT
ijassa-1370	106	11	131	131	NUM
ijassa-1370	106	12	copyright	copyright	NOUN
ijassa-1370	106	13	©	©	PROPN
ijassa-1370	106	14	2023	2023	NUM
ijassa-1370	106	15	assa	assa	NOUN
ijassa-1370	106	16	.	.	PUNCT
ijassa-1370	107	1	adv	adv	PROPN
ijassa-1370	107	2	.	.	PUNCT
ijassa-1370	108	1	in	in	ADP
ijassa-1370	108	2	systems	system	NOUN
ijassa-1370	108	3	science	science	NOUN
ijassa-1370	108	4	and	and	CCONJ
ijassa-1370	108	5	appl	appl	NOUN
ijassa-1370	108	6	.	.	PUNCT
ijassa-1370	109	1	(	(	PUNCT
ijassa-1370	109	2	2023	2023	NUM
ijassa-1370	109	3	)	)	PUNCT
ijassa-1370	109	4	fig	fig	NOUN
ijassa-1370	109	5	.	.	PUNCT
ijassa-1370	110	1	2	2	X
ijassa-1370	110	2	.	.	X
ijassa-1370	110	3	results	result	NOUN
ijassa-1370	110	4	of	of	ADP
ijassa-1370	110	5	computer	computer	NOUN
ijassa-1370	110	6	simulation	simulation	NOUN
ijassa-1370	110	7	of	of	ADP
ijassa-1370	110	8	longitudinal	longitudinal	ADJ
ijassa-1370	110	9	motion	motion	NOUN
ijassa-1370	110	10	5.2	5.2	NUM
ijassa-1370	110	11	.	.	PUNCT
ijassa-1370	111	1	description	description	NOUN
ijassa-1370	111	2	of	of	ADP
ijassa-1370	111	3	recognition	recognition	NOUN
ijassa-1370	111	4	algorithms	algorithm	NOUN
ijassa-1370	111	5	and	and	CCONJ
ijassa-1370	111	6	numerical	numerical	ADJ
ijassa-1370	111	7	experiment	experiment	NOUN
ijassa-1370	111	8	a	a	DET
ijassa-1370	111	9	characteristic	characteristic	ADJ
ijassa-1370	111	10	record	record	NOUN
ijassa-1370	111	11	of	of	ADP
ijassa-1370	111	12	the	the	DET
ijassa-1370	111	13	flight	flight	NOUN
ijassa-1370	111	14	experiment	experiment	NOUN
ijassa-1370	111	15	when	when	SCONJ
ijassa-1370	111	16	performing	perform	VERB
ijassa-1370	111	17	a	a	DET
ijassa-1370	111	18	control	control	NOUN
ijassa-1370	111	19	maneuver	maneuver	NOUN
ijassa-1370	111	20	with	with	ADP
ijassa-1370	111	21	the	the	DET
ijassa-1370	111	22	elevator	elevator	NOUN
ijassa-1370	111	23	cottages	cottage	NOUN
ijassa-1370	111	24	in	in	ADP
ijassa-1370	111	25	the	the	DET
ijassa-1370	111	26	time	time	NOUN
ijassa-1370	111	27	interval	interval	NOUN
ijassa-1370	111	28	is	be	AUX
ijassa-1370	111	29	shown	show	VERB
ijassa-1370	111	30	in	in	ADP
ijassa-1370	111	31	fig	fig	NOUN
ijassa-1370	111	32	.	.	PUNCT
ijassa-1370	112	1	3	3	X
ijassa-1370	112	2	.	.	X
ijassa-1370	112	3	fig	fig	NOUN
ijassa-1370	112	4	.	.	PUNCT
ijassa-1370	113	1	3	3	X
ijassa-1370	113	2	.	.	X
ijassa-1370	113	3	cottages	cottage	NOUN
ijassa-1370	113	4	by	by	ADP
ijassa-1370	113	5	the	the	DET
ijassa-1370	113	6	elevator	elevator	NOUN
ijassa-1370	113	7	to	to	PART
ijassa-1370	113	8	train	train	VERB
ijassa-1370	113	9	kohonen	kohonen	PROPN
ijassa-1370	113	10	neural	neural	ADJ
ijassa-1370	113	11	networks	network	NOUN
ijassa-1370	113	12	,	,	PUNCT
ijassa-1370	113	13	whose	whose	DET
ijassa-1370	113	14	task	task	NOUN
ijassa-1370	113	15	is	be	AUX
ijassa-1370	113	16	to	to	PART
ijassa-1370	113	17	recognize	recognize	VERB
ijassa-1370	113	18	the	the	DET
ijassa-1370	113	19	beginning	beginning	NOUN
ijassa-1370	113	20	and	and	CCONJ
ijassa-1370	113	21	end	end	NOUN
ijassa-1370	113	22	of	of	ADP
ijassa-1370	113	23	the	the	DET
ijassa-1370	113	24	test	test	NOUN
ijassa-1370	113	25	mode	mode	NOUN
ijassa-1370	113	26	,	,	PUNCT
ijassa-1370	113	27	it	it	PRON
ijassa-1370	113	28	is	be	AUX
ijassa-1370	113	29	necessary	necessary	ADJ
ijassa-1370	113	30	to	to	PART
ijassa-1370	113	31	allocate	allocate	VERB
ijassa-1370	113	32	separate	separate	ADJ
ijassa-1370	113	33	intervals	interval	NOUN
ijassa-1370	113	34	at	at	ADP
ijassa-1370	113	35	which	which	PRON
ijassa-1370	113	36	the	the	DET
ijassa-1370	113	37	elevator	elevator	NOUN
ijassa-1370	113	38	is	be	AUX
ijassa-1370	113	39	given	give	VERB
ijassa-1370	113	40	(	(	PUNCT
ijassa-1370	113	41	fig	fig	NOUN
ijassa-1370	113	42	.	.	PUNCT
ijassa-1370	114	1	4	4	NUM
ijassa-1370	114	2	)	)	PUNCT
ijassa-1370	114	3	.	.	PUNCT
ijassa-1370	115	1	fig	fig	NOUN
ijassa-1370	115	2	.	.	PUNCT
ijassa-1370	116	1	4	4	X
ijassa-1370	116	2	.	.	X
ijassa-1370	116	3	intervals	interval	NOUN
ijassa-1370	116	4	at	at	ADP
ijassa-1370	116	5	which	which	PRON
ijassa-1370	116	6	the	the	DET
ijassa-1370	116	7	steering	steering	NOUN
ijassa-1370	116	8	wheel	wheel	NOUN
ijassa-1370	116	9	is	be	AUX
ijassa-1370	116	10	given	give	VERB
ijassa-1370	116	11	the	the	DET
ijassa-1370	116	12	resulting	result	VERB
ijassa-1370	116	13	set	set	NOUN
ijassa-1370	116	14	of	of	ADP
ijassa-1370	116	15	intervals	interval	NOUN
ijassa-1370	116	16	is	be	AUX
ijassa-1370	116	17	modeled	model	VERB
ijassa-1370	116	18	by	by	ADP
ijassa-1370	116	19	reference	reference	NOUN
ijassa-1370	116	20	modes	mode	NOUN
ijassa-1370	116	21	,	,	PUNCT
ijassa-1370	116	22	which	which	PRON
ijassa-1370	116	23	can	can	AUX
ijassa-1370	116	24	be	be	AUX
ijassa-1370	116	25	divided	divide	VERB
ijassa-1370	116	26	into	into	ADP
ijassa-1370	116	27	two	two	NUM
ijassa-1370	116	28	groups	group	NOUN
ijassa-1370	116	29	.	.	PUNCT
ijassa-1370	117	1	in	in	ADP
ijassa-1370	117	2	the	the	DET
ijassa-1370	117	3	first	first	ADJ
ijassa-1370	117	4	group	group	NOUN
ijassa-1370	117	5	there	there	PRON
ijassa-1370	117	6	are	be	VERB
ijassa-1370	117	7	modes	mode	NOUN
ijassa-1370	117	8	equivalent	equivalent	ADJ
ijassa-1370	117	9	to	to	ADP
ijassa-1370	117	10	the	the	DET
ijassa-1370	117	11	one	one	NOUN
ijassa-1370	117	12	shown	show	VERB
ijassa-1370	117	13	in	in	ADP
ijassa-1370	117	14	fig	fig	NOUN
ijassa-1370	117	15	.	.	PUNCT
ijassa-1370	118	1	5a	5a	NUM
ijassa-1370	118	2	,	,	PUNCT
ijassa-1370	118	3	in	in	ADP
ijassa-1370	118	4	the	the	DET
ijassa-1370	118	5	second	second	ADJ
ijassa-1370	118	6	group	group	NOUN
ijassa-1370	118	7	–	–	PUNCT
ijassa-1370	118	8	the	the	DET
ijassa-1370	118	9	one	one	NOUN
ijassa-1370	118	10	shown	show	VERB
ijassa-1370	118	11	in	in	ADP
ijassa-1370	118	12	fig	fig	NOUN
ijassa-1370	118	13	.	.	PUNCT
ijassa-1370	119	1	5b	5b	NUM
ijassa-1370	119	2	.	.	PUNCT
ijassa-1370	120	1	132	132	NUM
ijassa-1370	120	2	akhrameev	akhrameev	PROPN
ijassa-1370	120	3	v.	v.	PROPN
ijassa-1370	120	4	,	,	PUNCT
ijassa-1370	120	5	tsvetkov	tsvetkov	PROPN
ijassa-1370	120	6	e.	e.	PROPN
ijassa-1370	120	7	,	,	PUNCT
ijassa-1370	120	8	pashchenko	pashchenko	ADJ
ijassa-1370	120	9	a.	a.	NOUN
ijassa-1370	120	10	copyright	copyright	NOUN
ijassa-1370	120	11	©	©	PROPN
ijassa-1370	120	12	2023	2023	NUM
ijassa-1370	120	13	assa	assa	PROPN
ijassa-1370	120	14	adv	adv	PROPN
ijassa-1370	120	15	.	.	PUNCT
ijassa-1370	121	1	in	in	ADP
ijassa-1370	121	2	systems	system	NOUN
ijassa-1370	121	3	science	science	NOUN
ijassa-1370	121	4	and	and	CCONJ
ijassa-1370	121	5	appl	appl	NOUN
ijassa-1370	121	6	.	.	PUNCT
ijassa-1370	122	1	(	(	PUNCT
ijassa-1370	122	2	2023	2023	NUM
ijassa-1370	122	3	)	)	PUNCT
ijassa-1370	122	4	a	a	X
ijassa-1370	122	5	)	)	PUNCT
ijassa-1370	122	6	the	the	DET
ijassa-1370	122	7	first	first	ADJ
ijassa-1370	122	8	type	type	NOUN
ijassa-1370	122	9	of	of	ADP
ijassa-1370	122	10	standard	standard	ADJ
ijassa-1370	122	11	b	b	X
ijassa-1370	122	12	)	)	PUNCT
ijassa-1370	122	13	the	the	DET
ijassa-1370	122	14	second	second	ADJ
ijassa-1370	122	15	type	type	NOUN
ijassa-1370	122	16	of	of	ADP
ijassa-1370	122	17	standard	standard	ADJ
ijassa-1370	122	18	fig	fig	NOUN
ijassa-1370	122	19	.	.	PUNCT
ijassa-1370	123	1	5	5	X
ijassa-1370	123	2	.	.	X
ijassa-1370	123	3	reference	reference	NOUN
ijassa-1370	123	4	modes	mode	NOUN
ijassa-1370	123	5	of	of	ADP
ijassa-1370	123	6	driving	drive	VERB
ijassa-1370	123	7	also	also	ADV
ijassa-1370	123	8	,	,	PUNCT
ijassa-1370	123	9	it	it	PRON
ijassa-1370	123	10	is	be	AUX
ijassa-1370	123	11	worth	worth	ADJ
ijassa-1370	123	12	adding	add	VERB
ijassa-1370	123	13	intervals	interval	NOUN
ijassa-1370	123	14	to	to	ADP
ijassa-1370	123	15	the	the	DET
ijassa-1370	123	16	set	set	NOUN
ijassa-1370	123	17	of	of	ADP
ijassa-1370	123	18	training	training	NOUN
ijassa-1370	123	19	examples	example	NOUN
ijassa-1370	123	20	in	in	ADP
ijassa-1370	123	21	which	which	PRON
ijassa-1370	123	22	there	there	PRON
ijassa-1370	123	23	are	be	VERB
ijassa-1370	123	24	no	no	DET
ijassa-1370	123	25	images	image	NOUN
ijassa-1370	123	26	of	of	ADP
ijassa-1370	123	27	the	the	DET
ijassa-1370	123	28	control	control	NOUN
ijassa-1370	123	29	maneuver	maneuver	NOUN
ijassa-1370	123	30	(	(	PUNCT
ijassa-1370	123	31	fig	fig	NOUN
ijassa-1370	123	32	.	.	PUNCT
ijassa-1370	124	1	6	6	NUM
ijassa-1370	124	2	)	)	PUNCT
ijassa-1370	124	3	.	.	PUNCT
ijassa-1370	125	1	fig	fig	NOUN
ijassa-1370	125	2	.	.	PUNCT
ijassa-1370	126	1	6	6	NUM
ijassa-1370	126	2	.	.	X
ijassa-1370	126	3	intervals	interval	NOUN
ijassa-1370	126	4	in	in	ADP
ijassa-1370	126	5	which	which	PRON
ijassa-1370	126	6	there	there	PRON
ijassa-1370	126	7	are	be	VERB
ijassa-1370	126	8	no	no	DET
ijassa-1370	126	9	images	image	NOUN
ijassa-1370	126	10	of	of	ADP
ijassa-1370	126	11	the	the	DET
ijassa-1370	126	12	control	control	NOUN
ijassa-1370	126	13	maneuver	maneuver	VERB
ijassa-1370	126	14	a	a	DET
ijassa-1370	126	15	similar	similar	ADJ
ijassa-1370	126	16	division	division	NOUN
ijassa-1370	126	17	into	into	ADP
ijassa-1370	126	18	sections	section	NOUN
ijassa-1370	126	19	of	of	ADP
ijassa-1370	126	20	the	the	DET
ijassa-1370	126	21	beginning	beginning	NOUN
ijassa-1370	126	22	and	and	CCONJ
ijassa-1370	126	23	end	end	NOUN
ijassa-1370	126	24	of	of	ADP
ijassa-1370	126	25	the	the	DET
ijassa-1370	126	26	test	test	NOUN
ijassa-1370	126	27	mode	mode	NOUN
ijassa-1370	126	28	is	be	AUX
ijassa-1370	126	29	performed	perform	VERB
ijassa-1370	126	30	for	for	ADP
ijassa-1370	126	31	all	all	DET
ijassa-1370	126	32	flight	flight	NOUN
ijassa-1370	126	33	parameters	parameter	NOUN
ijassa-1370	126	34	that	that	PRON
ijassa-1370	126	35	will	will	AUX
ijassa-1370	126	36	be	be	AUX
ijassa-1370	126	37	used	use	VERB
ijassa-1370	126	38	for	for	ADP
ijassa-1370	126	39	recognition	recognition	NOUN
ijassa-1370	126	40	.	.	PUNCT
ijassa-1370	127	1	it	it	PRON
ijassa-1370	127	2	is	be	AUX
ijassa-1370	127	3	important	important	ADJ
ijassa-1370	127	4	to	to	PART
ijassa-1370	127	5	note	note	VERB
ijassa-1370	127	6	that	that	SCONJ
ijassa-1370	127	7	the	the	DET
ijassa-1370	127	8	dimension	dimension	NOUN
ijassa-1370	127	9	of	of	ADP
ijassa-1370	127	10	the	the	DET
ijassa-1370	127	11	input	input	NOUN
ijassa-1370	127	12	vector	vector	NOUN
ijassa-1370	127	13	of	of	ADP
ijassa-1370	127	14	the	the	DET
ijassa-1370	127	15	kohonen	kohonen	PROPN
ijassa-1370	127	16	network	network	NOUN
ijassa-1370	127	17	is	be	AUX
ijassa-1370	127	18	set	set	VERB
ijassa-1370	127	19	constant	constant	ADJ
ijassa-1370	127	20	,	,	PUNCT
ijassa-1370	127	21	and	and	CCONJ
ijassa-1370	127	22	the	the	DET
ijassa-1370	127	23	number	number	NOUN
ijassa-1370	127	24	of	of	ADP
ijassa-1370	127	25	points	point	NOUN
ijassa-1370	127	26	on	on	ADP
ijassa-1370	127	27	the	the	DET
ijassa-1370	127	28	interval	interval	NOUN
ijassa-1370	127	29	where	where	SCONJ
ijassa-1370	127	30	the	the	DET
ijassa-1370	127	31	image	image	NOUN
ijassa-1370	127	32	of	of	ADP
ijassa-1370	127	33	the	the	DET
ijassa-1370	127	34	control	control	NOUN
ijassa-1370	127	35	maneuver	maneuver	NOUN
ijassa-1370	127	36	is	be	AUX
ijassa-1370	127	37	present	present	ADJ
ijassa-1370	127	38	can	can	AUX
ijassa-1370	127	39	vary	vary	VERB
ijassa-1370	127	40	greatly	greatly	ADV
ijassa-1370	127	41	depending	depend	VERB
ijassa-1370	127	42	on	on	ADP
ijassa-1370	127	43	the	the	DET
ijassa-1370	127	44	duration	duration	NOUN
ijassa-1370	127	45	of	of	ADP
ijassa-1370	127	46	the	the	DET
ijassa-1370	127	47	mode	mode	NOUN
ijassa-1370	127	48	and	and	CCONJ
ijassa-1370	127	49	the	the	DET
ijassa-1370	127	50	frequency	frequency	NOUN
ijassa-1370	127	51	of	of	ADP
ijassa-1370	127	52	sensor	sensor	NOUN
ijassa-1370	127	53	polling	polling	NOUN
ijassa-1370	127	54	.	.	PUNCT
ijassa-1370	128	1	therefore	therefore	ADV
ijassa-1370	128	2	,	,	PUNCT
ijassa-1370	128	3	before	before	ADP
ijassa-1370	128	4	submitting	submit	VERB
ijassa-1370	128	5	a	a	DET
ijassa-1370	128	6	vector	vector	NOUN
ijassa-1370	128	7	to	to	ADP
ijassa-1370	128	8	the	the	DET
ijassa-1370	128	9	network	network	NOUN
ijassa-1370	128	10	input	input	NOUN
ijassa-1370	128	11	,	,	PUNCT
ijassa-1370	128	12	it	it	PRON
ijassa-1370	128	13	is	be	AUX
ijassa-1370	128	14	necessary	necessary	ADJ
ijassa-1370	128	15	to	to	PART
ijassa-1370	128	16	interpolate	interpolate	VERB
ijassa-1370	128	17	this	this	DET
ijassa-1370	128	18	vector	vector	NOUN
ijassa-1370	128	19	into	into	ADP
ijassa-1370	128	20	a	a	DET
ijassa-1370	128	21	vector	vector	NOUN
ijassa-1370	128	22	of	of	ADP
ijassa-1370	128	23	a	a	DET
ijassa-1370	128	24	given	give	VERB
ijassa-1370	128	25	dimension	dimension	NOUN
ijassa-1370	128	26	that	that	PRON
ijassa-1370	128	27	coincides	coincide	VERB
ijassa-1370	128	28	with	with	ADP
ijassa-1370	128	29	the	the	DET
ijassa-1370	128	30	dimension	dimension	NOUN
ijassa-1370	128	31	of	of	ADP
ijassa-1370	128	32	the	the	DET
ijassa-1370	128	33	network	network	NOUN
ijassa-1370	128	34	inputs	input	NOUN
ijassa-1370	128	35	.	.	PUNCT
ijassa-1370	129	1	in	in	ADP
ijassa-1370	129	2	this	this	DET
ijassa-1370	129	3	paper	paper	NOUN
ijassa-1370	129	4	,	,	PUNCT
ijassa-1370	129	5	all	all	DET
ijassa-1370	129	6	kohonen	kohonen	PROPN
ijassa-1370	129	7	networks	network	NOUN
ijassa-1370	129	8	used	use	VERB
ijassa-1370	129	9	have	have	VERB
ijassa-1370	129	10	50	50	NUM
ijassa-1370	129	11	input	input	NOUN
ijassa-1370	129	12	and	and	CCONJ
ijassa-1370	129	13	10	10	NUM
ijassa-1370	129	14	output	output	NOUN
ijassa-1370	129	15	neurons	neuron	NOUN
ijassa-1370	129	16	.	.	PUNCT
ijassa-1370	130	1	since	since	SCONJ
ijassa-1370	130	2	the	the	DET
ijassa-1370	130	3	image	image	NOUN
ijassa-1370	130	4	record	record	NOUN
ijassa-1370	130	5	may	may	AUX
ijassa-1370	130	6	contain	contain	VERB
ijassa-1370	130	7	areas	area	NOUN
ijassa-1370	130	8	with	with	ADP
ijassa-1370	130	9	negative	negative	ADJ
ijassa-1370	130	10	values	value	NOUN
ijassa-1370	130	11	,	,	PUNCT
ijassa-1370	130	12	the	the	DET
ijassa-1370	130	13	minimum	minimum	ADJ
ijassa-1370	130	14	value	value	NOUN
ijassa-1370	130	15	is	be	AUX
ijassa-1370	130	16	subtracted	subtract	VERB
ijassa-1370	130	17	from	from	ADP
ijassa-1370	130	18	all	all	DET
ijassa-1370	130	19	values	value	NOUN
ijassa-1370	130	20	in	in	ADP
ijassa-1370	130	21	the	the	DET
ijassa-1370	130	22	interval	interval	NOUN
ijassa-1370	130	23	.	.	PUNCT
ijassa-1370	131	1	all	all	DET
ijassa-1370	131	2	intervals	interval	NOUN
ijassa-1370	131	3	are	be	AUX
ijassa-1370	131	4	normalized	normalize	VERB
ijassa-1370	131	5	to	to	ADP
ijassa-1370	131	6	one	one	NUM
ijassa-1370	131	7	and	and	CCONJ
ijassa-1370	131	8	the	the	DET
ijassa-1370	131	9	kohonen	kohonen	PROPN
ijassa-1370	131	10	network	network	NOUN
ijassa-1370	131	11	training	training	NOUN
ijassa-1370	131	12	stage	stage	NOUN
ijassa-1370	131	13	is	be	AUX
ijassa-1370	131	14	started	start	VERB
ijassa-1370	131	15	.	.	PUNCT
ijassa-1370	132	1	after	after	ADP
ijassa-1370	132	2	training	training	NOUN
ijassa-1370	132	3	,	,	PUNCT
ijassa-1370	132	4	the	the	DET
ijassa-1370	132	5	output	output	NOUN
ijassa-1370	132	6	neurons	neuron	NOUN
ijassa-1370	132	7	of	of	ADP
ijassa-1370	132	8	the	the	DET
ijassa-1370	132	9	network	network	NOUN
ijassa-1370	132	10	are	be	AUX
ijassa-1370	132	11	divided	divide	VERB
ijassa-1370	132	12	into	into	ADP
ijassa-1370	132	13	3	3	NUM
ijassa-1370	132	14	groups	group	NOUN
ijassa-1370	132	15	.	.	PUNCT
ijassa-1370	133	1	in	in	ADP
ijassa-1370	133	2	the	the	DET
ijassa-1370	133	3	first	first	ADJ
ijassa-1370	133	4	group	group	NOUN
ijassa-1370	133	5	there	there	PRON
ijassa-1370	133	6	are	be	VERB
ijassa-1370	133	7	neurons	neuron	NOUN
ijassa-1370	133	8	with	with	ADP
ijassa-1370	133	9	the	the	DET
ijassa-1370	133	10	maximum	maximum	ADJ
ijassa-1370	133	11	value	value	NOUN
ijassa-1370	133	12	for	for	ADP
ijassa-1370	133	13	the	the	DET
ijassa-1370	133	14	mode	mode	NOUN
ijassa-1370	133	15	shown	show	VERB
ijassa-1370	133	16	in	in	ADP
ijassa-1370	133	17	fig	fig	NOUN
ijassa-1370	133	18	.	.	PUNCT
ijassa-1370	134	1	5a	5a	NUM
ijassa-1370	134	2	,	,	PUNCT
ijassa-1370	134	3	in	in	ADP
ijassa-1370	134	4	the	the	DET
ijassa-1370	134	5	second	second	ADJ
ijassa-1370	134	6	group	group	NOUN
ijassa-1370	134	7	there	there	PRON
ijassa-1370	134	8	are	be	VERB
ijassa-1370	134	9	neurons	neuron	NOUN
ijassa-1370	134	10	with	with	ADP
ijassa-1370	134	11	the	the	DET
ijassa-1370	134	12	maximum	maximum	ADJ
ijassa-1370	134	13	value	value	NOUN
ijassa-1370	134	14	for	for	ADP
ijassa-1370	134	15	the	the	DET
ijassa-1370	134	16	mode	mode	NOUN
ijassa-1370	134	17	shown	show	VERB
ijassa-1370	134	18	in	in	ADP
ijassa-1370	134	19	fig	fig	NOUN
ijassa-1370	134	20	.	.	PUNCT
ijassa-1370	135	1	5b	5b	X
ijassa-1370	135	2	.	.	PUNCT
ijassa-1370	136	1	the	the	DET
ijassa-1370	136	2	remaining	remain	VERB
ijassa-1370	136	3	neurons	neuron	NOUN
ijassa-1370	136	4	form	form	VERB
ijassa-1370	136	5	a	a	DET
ijassa-1370	136	6	third	third	ADJ
ijassa-1370	136	7	group	group	NOUN
ijassa-1370	136	8	.	.	PUNCT
ijassa-1370	137	1	the	the	DET
ijassa-1370	137	2	values	value	NOUN
ijassa-1370	137	3	of	of	ADP
ijassa-1370	137	4	these	these	DET
ijassa-1370	137	5	neurons	neuron	NOUN
ijassa-1370	137	6	are	be	AUX
ijassa-1370	137	7	maximal	maximal	ADJ
ijassa-1370	137	8	at	at	ADP
ijassa-1370	137	9	the	the	DET
ijassa-1370	137	10	intervals	interval	NOUN
ijassa-1370	137	11	shown	show	VERB
ijassa-1370	137	12	in	in	ADP
ijassa-1370	137	13	fig	fig	NOUN
ijassa-1370	137	14	.	.	PUNCT
ijassa-1370	138	1	6	6	NUM
ijassa-1370	138	2	.	.	NOUN
ijassa-1370	138	3	table	table	NOUN
ijassa-1370	138	4	1	1	NUM
ijassa-1370	138	5	below	below	ADV
ijassa-1370	138	6	shows	show	VERB
ijassa-1370	138	7	examples	example	NOUN
ijassa-1370	138	8	of	of	ADP
ijassa-1370	138	9	values	value	NOUN
ijassa-1370	138	10	for	for	ADP
ijassa-1370	138	11	the	the	DET
ijassa-1370	138	12	output	output	NOUN
ijassa-1370	138	13	layer	layer	NOUN
ijassa-1370	138	14	of	of	ADP
ijassa-1370	138	15	neurons	neuron	NOUN
ijassa-1370	138	16	after	after	SCONJ
ijassa-1370	138	17	the	the	DET
ijassa-1370	138	18	images	image	NOUN
ijassa-1370	138	19	depicted	depict	VERB
ijassa-1370	138	20	earlier	early	ADV
ijassa-1370	138	21	are	be	AUX
ijassa-1370	138	22	fed	feed	VERB
ijassa-1370	138	23	into	into	ADP
ijassa-1370	138	24	the	the	DET
ijassa-1370	138	25	input	input	NOUN
ijassa-1370	138	26	layer	layer	NOUN
ijassa-1370	138	27	of	of	ADP
ijassa-1370	138	28	the	the	DET
ijassa-1370	138	29	trained	train	VERB
ijassa-1370	138	30	network	network	NOUN
ijassa-1370	138	31	.	.	PUNCT
ijassa-1370	139	1	table	table	NOUN
ijassa-1370	139	2	1	1	NUM
ijassa-1370	139	3	examples	example	NOUN
ijassa-1370	139	4	of	of	ADP
ijassa-1370	139	5	values	value	NOUN
ijassa-1370	139	6	for	for	ADP
ijassa-1370	139	7	the	the	DET
ijassa-1370	139	8	output	output	NOUN
ijassa-1370	139	9	layer	layer	NOUN
ijassa-1370	139	10	of	of	ADP
ijassa-1370	139	11	neurons	neuron	NOUN
ijassa-1370	139	12	fig	fig	NOUN
ijassa-1370	139	13	.	.	PUNCT
ijassa-1370	140	1	5а	5а	NOUN
ijassa-1370	140	2	0.1338	0.1338	NUM
ijassa-1370	140	3	0.1155	0.1155	NUM
ijassa-1370	140	4	0.1115	0.1115	NUM
ijassa-1370	140	5	0.2016	0.2016	NUM
ijassa-1370	140	6	0.5873	0.5873	NUM
ijassa-1370	140	7	0.7659	0.7659	NUM
ijassa-1370	140	8	0.8697	0.8697	NUM
ijassa-1370	140	9	0.9336	0.9336	NUM
ijassa-1370	140	10	0.7043	0.7043	NUM
ijassa-1370	140	11	0.7527	0.7527	NUM
ijassa-1370	140	12	fig	fig	NOUN
ijassa-1370	140	13	.	.	PUNCT
ijassa-1370	141	1	5b	5b	NUM
ijassa-1370	141	2	0.9017	0.9017	NUM
ijassa-1370	141	3	0.9701	0.9701	NUM
ijassa-1370	141	4	0.9864	0.9864	NUM
ijassa-1370	141	5	0.8886	0.8886	NUM
ijassa-1370	141	6	0.5594	0.5594	NUM
ijassa-1370	141	7	0.4452	0.4452	NUM
ijassa-1370	141	8	0.2485	0.2485	NUM
ijassa-1370	141	9	0.1331	0.1331	NUM
ijassa-1370	141	10	0.3088	0.3088	NUM
ijassa-1370	141	11	0.2726	0.2726	NUM
ijassa-1370	141	12	fig	fig	NOUN
ijassa-1370	141	13	.	.	PUNCT
ijassa-1370	142	1	6	6	NUM
ijassa-1370	142	2	0.4887	0.4887	NUM
ijassa-1370	142	3	0.4241	0.4241	NUM
ijassa-1370	142	4	0.4120	0.4120	NUM
ijassa-1370	142	5	0.6095	0.6095	NUM
ijassa-1370	143	1	0.8218	0.8218	NUM
ijassa-1370	143	2	0.9092	0.9092	NUM
ijassa-1370	143	3	0.8090	0.8090	NUM
ijassa-1370	143	4	0.7291	0.7291	NUM
ijassa-1370	143	5	0.6543	0.6543	NUM
ijassa-1370	143	6	0.6737	0.6737	NUM
ijassa-1370	143	7	quality	quality	NOUN
ijassa-1370	143	8	control	control	NOUN
ijassa-1370	143	9	of	of	ADP
ijassa-1370	143	10	a	a	DET
ijassa-1370	143	11	real	real	ADJ
ijassa-1370	143	12	-	-	PUNCT
ijassa-1370	143	13	time	time	NOUN
ijassa-1370	143	14	flight	flight	NOUN
ijassa-1370	143	15	experiment	experiment	NOUN
ijassa-1370	143	16	…	…	PUNCT
ijassa-1370	143	17	133	133	NUM
ijassa-1370	143	18	copyright	copyright	NOUN
ijassa-1370	143	19	©	©	PROPN
ijassa-1370	143	20	2023	2023	NUM
ijassa-1370	143	21	assa	assa	NOUN
ijassa-1370	143	22	.	.	PUNCT
ijassa-1370	144	1	adv	adv	PROPN
ijassa-1370	144	2	.	.	PUNCT
ijassa-1370	145	1	in	in	ADP
ijassa-1370	145	2	systems	system	NOUN
ijassa-1370	145	3	science	science	NOUN
ijassa-1370	145	4	and	and	CCONJ
ijassa-1370	145	5	appl	appl	NOUN
ijassa-1370	145	6	.	.	PUNCT
ijassa-1370	146	1	(	(	PUNCT
ijassa-1370	146	2	2023	2023	NUM
ijassa-1370	146	3	)	)	PUNCT
ijassa-1370	146	4	as	as	SCONJ
ijassa-1370	146	5	can	can	AUX
ijassa-1370	146	6	be	be	AUX
ijassa-1370	146	7	seen	see	VERB
ijassa-1370	146	8	,	,	PUNCT
ijassa-1370	146	9	in	in	ADP
ijassa-1370	146	10	the	the	DET
ijassa-1370	146	11	first	first	ADJ
ijassa-1370	146	12	case	case	NOUN
ijassa-1370	146	13	,	,	PUNCT
ijassa-1370	146	14	neurons	neuron	NOUN
ijassa-1370	146	15	are	be	AUX
ijassa-1370	146	16	mainly	mainly	ADV
ijassa-1370	146	17	excited	excited	ADJ
ijassa-1370	146	18	at	at	ADP
ijassa-1370	146	19	numbers	number	NOUN
ijassa-1370	146	20	7–10	7–10	PROPN
ijassa-1370	146	21	,	,	PUNCT
ijassa-1370	146	22	in	in	ADP
ijassa-1370	146	23	the	the	DET
ijassa-1370	146	24	second	second	ADJ
ijassa-1370	146	25	at	at	ADP
ijassa-1370	146	26	numbers	number	NOUN
ijassa-1370	146	27	1–4	1–4	PROPN
ijassa-1370	146	28	.	.	PUNCT
ijassa-1370	147	1	this	this	DET
ijassa-1370	147	2	result	result	NOUN
ijassa-1370	147	3	allows	allow	VERB
ijassa-1370	147	4	us	we	PRON
ijassa-1370	147	5	to	to	PART
ijassa-1370	147	6	form	form	VERB
ijassa-1370	147	7	a	a	DET
ijassa-1370	147	8	rule	rule	NOUN
ijassa-1370	147	9	for	for	ADP
ijassa-1370	147	10	searching	search	VERB
ijassa-1370	147	11	and	and	CCONJ
ijassa-1370	147	12	selecting	select	VERB
ijassa-1370	147	13	flight	flight	NOUN
ijassa-1370	147	14	recording	recording	NOUN
ijassa-1370	147	15	sites	site	NOUN
ijassa-1370	147	16	at	at	ADP
ijassa-1370	147	17	the	the	DET
ijassa-1370	147	18	primary	primary	ADJ
ijassa-1370	147	19	stage	stage	NOUN
ijassa-1370	147	20	of	of	ADP
ijassa-1370	147	21	the	the	DET
ijassa-1370	147	22	algorithm	algorithm	NOUN
ijassa-1370	147	23	.	.	PUNCT
ijassa-1370	148	1	at	at	ADP
ijassa-1370	148	2	this	this	DET
ijassa-1370	148	3	stage	stage	NOUN
ijassa-1370	148	4	,	,	PUNCT
ijassa-1370	148	5	a	a	DET
ijassa-1370	148	6	flight	flight	NOUN
ijassa-1370	148	7	recording	recording	NOUN
ijassa-1370	148	8	section	section	NOUN
ijassa-1370	148	9	is	be	AUX
ijassa-1370	148	10	fed	feed	VERB
ijassa-1370	148	11	to	to	ADP
ijassa-1370	148	12	the	the	DET
ijassa-1370	148	13	input	input	NOUN
ijassa-1370	148	14	of	of	ADP
ijassa-1370	148	15	the	the	DET
ijassa-1370	148	16	kohonen	kohonen	PROPN
ijassa-1370	148	17	neural	neural	ADJ
ijassa-1370	148	18	network	network	NOUN
ijassa-1370	148	19	,	,	PUNCT
ijassa-1370	148	20	in	in	ADP
ijassa-1370	148	21	which	which	PRON
ijassa-1370	148	22	the	the	DET
ijassa-1370	148	23	experimental	experimental	ADJ
ijassa-1370	148	24	mode	mode	NOUN
ijassa-1370	148	25	is	be	AUX
ijassa-1370	148	26	presumably	presumably	ADV
ijassa-1370	148	27	located	locate	VERB
ijassa-1370	148	28	.	.	PUNCT
ijassa-1370	149	1	this	this	DET
ijassa-1370	149	2	section	section	NOUN
ijassa-1370	149	3	is	be	AUX
ijassa-1370	149	4	selected	select	VERB
ijassa-1370	149	5	by	by	ADP
ijassa-1370	149	6	a	a	DET
ijassa-1370	149	7	"	"	PUNCT
ijassa-1370	149	8	sliding	slide	VERB
ijassa-1370	149	9	"	"	PUNCT
ijassa-1370	149	10	window	window	NOUN
ijassa-1370	149	11	moving	move	VERB
ijassa-1370	149	12	along	along	ADP
ijassa-1370	149	13	the	the	DET
ijassa-1370	149	14	record	record	NOUN
ijassa-1370	149	15	.	.	PUNCT
ijassa-1370	150	1	the	the	DET
ijassa-1370	150	2	size	size	NOUN
ijassa-1370	150	3	of	of	ADP
ijassa-1370	150	4	the	the	DET
ijassa-1370	150	5	window	window	NOUN
ijassa-1370	150	6	depends	depend	VERB
ijassa-1370	150	7	on	on	ADP
ijassa-1370	150	8	the	the	DET
ijassa-1370	150	9	type	type	NOUN
ijassa-1370	150	10	of	of	ADP
ijassa-1370	150	11	maneuver	maneuver	NOUN
ijassa-1370	150	12	performed	perform	VERB
ijassa-1370	150	13	,	,	PUNCT
ijassa-1370	150	14	and	and	CCONJ
ijassa-1370	150	15	varies	vary	VERB
ijassa-1370	150	16	within	within	ADP
ijassa-1370	150	17	the	the	DET
ijassa-1370	150	18	specified	specify	VERB
ijassa-1370	150	19	limits	limit	NOUN
ijassa-1370	150	20	.	.	PUNCT
ijassa-1370	151	1	these	these	DET
ijassa-1370	151	2	limits	limit	NOUN
ijassa-1370	151	3	must	must	AUX
ijassa-1370	151	4	be	be	AUX
ijassa-1370	151	5	set	set	VERB
ijassa-1370	151	6	by	by	ADP
ijassa-1370	151	7	the	the	DET
ijassa-1370	151	8	operator	operator	NOUN
ijassa-1370	151	9	on	on	ADP
ijassa-1370	151	10	the	the	DET
ijassa-1370	151	11	basis	basis	NOUN
ijassa-1370	151	12	of	of	ADP
ijassa-1370	151	13	the	the	DET
ijassa-1370	151	14	flight	flight	NOUN
ijassa-1370	151	15	task	task	NOUN
ijassa-1370	151	16	set	set	VERB
ijassa-1370	151	17	before	before	ADP
ijassa-1370	151	18	the	the	DET
ijassa-1370	151	19	flight	flight	NOUN
ijassa-1370	151	20	.	.	PUNCT
ijassa-1370	152	1	if	if	SCONJ
ijassa-1370	152	2	any	any	PRON
ijassa-1370	152	3	of	of	ADP
ijassa-1370	152	4	the	the	DET
ijassa-1370	152	5	neurons	neuron	NOUN
ijassa-1370	152	6	takes	take	VERB
ijassa-1370	152	7	a	a	DET
ijassa-1370	152	8	value	value	NOUN
ijassa-1370	152	9	greater	great	ADJ
ijassa-1370	152	10	than	than	ADP
ijassa-1370	152	11	a	a	DET
ijassa-1370	152	12	certain	certain	ADJ
ijassa-1370	152	13	critical	critical	ADJ
ijassa-1370	152	14	value	value	NOUN
ijassa-1370	152	15	and	and	CCONJ
ijassa-1370	152	16	corresponds	correspond	VERB
ijassa-1370	152	17	to	to	ADP
ijassa-1370	152	18	a	a	DET
ijassa-1370	152	19	group	group	NOUN
ijassa-1370	152	20	of	of	ADP
ijassa-1370	152	21	neurons	neuron	NOUN
ijassa-1370	152	22	responding	respond	VERB
ijassa-1370	152	23	to	to	ADP
ijassa-1370	152	24	the	the	DET
ijassa-1370	152	25	beginning	beginning	NOUN
ijassa-1370	152	26	or	or	CCONJ
ijassa-1370	152	27	end	end	NOUN
ijassa-1370	152	28	of	of	ADP
ijassa-1370	152	29	the	the	DET
ijassa-1370	152	30	mode	mode	NOUN
ijassa-1370	152	31	,	,	PUNCT
ijassa-1370	152	32	then	then	ADV
ijassa-1370	152	33	the	the	DET
ijassa-1370	152	34	recognition	recognition	NOUN
ijassa-1370	152	35	system	system	NOUN
ijassa-1370	152	36	stores	store	VERB
ijassa-1370	152	37	the	the	DET
ijassa-1370	152	38	corresponding	corresponding	ADJ
ijassa-1370	152	39	values	value	NOUN
ijassa-1370	152	40	of	of	ADP
ijassa-1370	152	41	the	the	DET
ijassa-1370	152	42	start	start	NOUN
ijassa-1370	152	43	or	or	CCONJ
ijassa-1370	152	44	end	end	VERB
ijassa-1370	152	45	time	time	NOUN
ijassa-1370	152	46	of	of	ADP
ijassa-1370	152	47	the	the	DET
ijassa-1370	152	48	submitted	submit	VERB
ijassa-1370	152	49	interval	interval	NOUN
ijassa-1370	152	50	.	.	PUNCT
ijassa-1370	153	1	further	far	ADV
ijassa-1370	153	2	,	,	PUNCT
ijassa-1370	153	3	the	the	DET
ijassa-1370	153	4	recognition	recognition	NOUN
ijassa-1370	153	5	system	system	NOUN
ijassa-1370	153	6	,	,	PUNCT
ijassa-1370	153	7	based	base	VERB
ijassa-1370	153	8	on	on	ADP
ijassa-1370	153	9	the	the	DET
ijassa-1370	153	10	information	information	NOUN
ijassa-1370	153	11	received	receive	VERB
ijassa-1370	153	12	about	about	ADP
ijassa-1370	153	13	the	the	DET
ijassa-1370	153	14	start	start	NOUN
ijassa-1370	153	15	and	and	CCONJ
ijassa-1370	153	16	end	end	VERB
ijassa-1370	153	17	time	time	NOUN
ijassa-1370	153	18	of	of	ADP
ijassa-1370	153	19	the	the	DET
ijassa-1370	153	20	found	find	VERB
ijassa-1370	153	21	mode	mode	NOUN
ijassa-1370	153	22	,	,	PUNCT
ijassa-1370	153	23	allocates	allocate	VERB
ijassa-1370	153	24	entire	entire	ADJ
ijassa-1370	153	25	intervals	interval	NOUN
ijassa-1370	153	26	at	at	ADP
ijassa-1370	153	27	which	which	PRON
ijassa-1370	153	28	the	the	DET
ijassa-1370	153	29	maneuver	maneuver	NOUN
ijassa-1370	153	30	was	be	AUX
ijassa-1370	153	31	performed	perform	VERB
ijassa-1370	153	32	.	.	PUNCT
ijassa-1370	154	1	an	an	DET
ijassa-1370	154	2	example	example	NOUN
ijassa-1370	154	3	of	of	ADP
ijassa-1370	154	4	such	such	DET
ijassa-1370	154	5	a	a	DET
ijassa-1370	154	6	vertical	vertical	ADJ
ijassa-1370	154	7	overload	overload	NOUN
ijassa-1370	154	8	recording	recording	NOUN
ijassa-1370	154	9	interval	interval	NOUN
ijassa-1370	154	10	is	be	AUX
ijassa-1370	154	11	shown	show	VERB
ijassa-1370	154	12	in	in	ADP
ijassa-1370	154	13	fig	fig	NOUN
ijassa-1370	154	14	.	.	PUNCT
ijassa-1370	155	1	7	7	X
ijassa-1370	155	2	.	.	X
ijassa-1370	155	3	fig	fig	NOUN
ijassa-1370	155	4	.	.	PUNCT
ijassa-1370	156	1	7	7	X
ijassa-1370	156	2	.	.	X
ijassa-1370	156	3	recording	recording	NOUN
ijassa-1370	156	4	of	of	ADP
ijassa-1370	156	5	vertical	vertical	ADJ
ijassa-1370	156	6	overload	overload	NOUN
ijassa-1370	156	7	the	the	DET
ijassa-1370	156	8	arrays	array	NOUN
ijassa-1370	156	9	obtained	obtain	VERB
ijassa-1370	156	10	earlier	early	ADV
ijassa-1370	156	11	already	already	ADV
ijassa-1370	156	12	contain	contain	VERB
ijassa-1370	156	13	the	the	DET
ijassa-1370	156	14	time	time	NOUN
ijassa-1370	156	15	values	value	NOUN
ijassa-1370	156	16	corresponding	correspond	VERB
ijassa-1370	156	17	to	to	ADP
ijassa-1370	156	18	the	the	DET
ijassa-1370	156	19	beginning	beginning	NOUN
ijassa-1370	156	20	and	and	CCONJ
ijassa-1370	156	21	end	end	NOUN
ijassa-1370	156	22	of	of	ADP
ijassa-1370	156	23	the	the	DET
ijassa-1370	156	24	maneuver	maneuver	NOUN
ijassa-1370	156	25	shown	show	VERB
ijassa-1370	156	26	in	in	ADP
ijassa-1370	156	27	fig	fig	NOUN
ijassa-1370	156	28	.	.	PUNCT
ijassa-1370	157	1	7	7	NUM
ijassa-1370	157	2	,	,	PUNCT
ijassa-1370	157	3	so	so	ADV
ijassa-1370	157	4	the	the	DET
ijassa-1370	157	5	following	follow	VERB
ijassa-1370	157	6	algorithm	algorithm	NOUN
ijassa-1370	157	7	can	can	AUX
ijassa-1370	157	8	be	be	AUX
ijassa-1370	157	9	applied	apply	VERB
ijassa-1370	157	10	.	.	PUNCT
ijassa-1370	158	1	denote	denote	VERB
ijassa-1370	158	2	the	the	DET
ijassa-1370	158	3	previously	previously	ADV
ijassa-1370	158	4	obtained	obtain	VERB
ijassa-1370	158	5	arrays	array	NOUN
ijassa-1370	158	6	as	as	ADP
ijassa-1370	158	7	𝑅𝑒𝑔1(𝑗	𝑅𝑒𝑔1(𝑗	PROPN
ijassa-1370	158	8	,	,	PUNCT
ijassa-1370	158	9	𝑖	𝑖	PRON
ijassa-1370	158	10	)	)	PUNCT
ijassa-1370	158	11	and	and	CCONJ
ijassa-1370	158	12	𝑅𝑒𝑔2(𝑗	𝑅𝑒𝑔2(𝑗	PROPN
ijassa-1370	158	13	,	,	PUNCT
ijassa-1370	158	14	𝑖	𝑖	PRON
ijassa-1370	158	15	)	)	PUNCT
ijassa-1370	158	16	,	,	PUNCT
ijassa-1370	158	17	where	where	SCONJ
ijassa-1370	158	18	the	the	DET
ijassa-1370	158	19	array	array	NOUN
ijassa-1370	158	20	𝑅𝑒𝑔1	𝑅𝑒𝑔1	PRON
ijassa-1370	158	21	contains	contain	VERB
ijassa-1370	158	22	time	time	NOUN
ijassa-1370	158	23	intervals	interval	NOUN
ijassa-1370	158	24	corresponding	correspond	VERB
ijassa-1370	158	25	to	to	ADP
ijassa-1370	158	26	the	the	DET
ijassa-1370	158	27	class	class	NOUN
ijassa-1370	158	28	of	of	ADP
ijassa-1370	158	29	images	image	NOUN
ijassa-1370	158	30	shown	show	VERB
ijassa-1370	158	31	in	in	ADP
ijassa-1370	158	32	fig	fig	NOUN
ijassa-1370	158	33	.	.	PUNCT
ijassa-1370	159	1	5	5	NUM
ijassa-1370	159	2	,	,	PUNCT
ijassa-1370	159	3	the	the	DET
ijassa-1370	159	4	array	array	NOUN
ijassa-1370	159	5	𝑅𝑒𝑔2	𝑅𝑒𝑔2	NUM
ijassa-1370	159	6	contains	contain	VERB
ijassa-1370	159	7	the	the	DET
ijassa-1370	159	8	corresponding	correspond	VERB
ijassa-1370	159	9	values	value	NOUN
ijassa-1370	159	10	related	relate	VERB
ijassa-1370	159	11	to	to	ADP
ijassa-1370	159	12	the	the	DET
ijassa-1370	159	13	class	class	NOUN
ijassa-1370	159	14	of	of	ADP
ijassa-1370	159	15	images	image	NOUN
ijassa-1370	159	16	shown	show	VERB
ijassa-1370	159	17	in	in	ADP
ijassa-1370	159	18	fig	fig	NOUN
ijassa-1370	159	19	.	.	PUNCT
ijassa-1370	160	1	6	6	NUM
ijassa-1370	160	2	.	.	X
ijassa-1370	160	3	each	each	DET
ijassa-1370	160	4	𝑗-th	𝑗-th	PROPN
ijassa-1370	160	5	element	element	NOUN
ijassa-1370	160	6	of	of	ADP
ijassa-1370	160	7	the	the	DET
ijassa-1370	160	8	arrays	array	NOUN
ijassa-1370	160	9	contains	contain	VERB
ijassa-1370	160	10	2	2	NUM
ijassa-1370	160	11	values	value	NOUN
ijassa-1370	160	12	.	.	PUNCT
ijassa-1370	161	1	we	we	PRON
ijassa-1370	161	2	are	be	AUX
ijassa-1370	161	3	interested	interested	ADJ
ijassa-1370	161	4	in	in	ADP
ijassa-1370	161	5	the	the	DET
ijassa-1370	161	6	value	value	NOUN
ijassa-1370	161	7	𝑅𝑒𝑔1(𝑗	𝑅𝑒𝑔1(𝑗	ADP
ijassa-1370	161	8	,	,	PUNCT
ijassa-1370	161	9	[	[	X
ijassa-1370	161	10	𝑡	𝑡	X
ijassa-1370	161	11	,	,	PUNCT
ijassa-1370	161	12	𝑡	𝑡	X
ijassa-1370	161	13	]	]	PUNCT
ijassa-1370	161	14	)	)	PUNCT
ijassa-1370	161	15	and	and	CCONJ
ijassa-1370	161	16	𝑅𝑒𝑔2(𝑗	𝑅𝑒𝑔2(𝑗	PROPN
ijassa-1370	161	17	,	,	PUNCT
ijassa-1370	161	18	[	[	X
ijassa-1370	161	19	𝑡	𝑡	X
ijassa-1370	161	20	,	,	PUNCT
ijassa-1370	161	21	𝑡	𝑡	X
ijassa-1370	161	22	]	]	X
ijassa-1370	161	23	)	)	PUNCT
ijassa-1370	161	24	,	,	PUNCT
ijassa-1370	161	25	provided	provide	VERB
ijassa-1370	161	26	𝑅𝑒𝑔1(𝑗	𝑅𝑒𝑔1(𝑗	PROPN
ijassa-1370	161	27	,	,	PUNCT
ijassa-1370	161	28	𝑡𝑒𝑛𝑑	𝑡𝑒𝑛𝑑	ADJ
ijassa-1370	161	29	)	)	PUNCT
ijassa-1370	161	30	−	−	PROPN
ijassa-1370	161	31	𝑅𝑒𝑔2	𝑅𝑒𝑔2	NUM
ijassa-1370	161	32	𝑘	𝑘	NOUN
ijassa-1370	161	33	,	,	PUNCT
ijassa-1370	161	34	𝑡𝑏𝑒𝑔𝑖𝑛	𝑡𝑏𝑒𝑔𝑖𝑛	NOUN
ijassa-1370	161	35	<	<	X
ijassa-1370	161	36	𝑇	𝑇	PROPN
ijassa-1370	161	37	(	(	PUNCT
ijassa-1370	161	38	9	9	NUM
ijassa-1370	161	39	)	)	PUNCT
ijassa-1370	161	40	where	where	SCONJ
ijassa-1370	161	41	𝑇	𝑇	PROPN
ijassa-1370	161	42	is	be	AUX
ijassa-1370	161	43	the	the	DET
ijassa-1370	161	44	characteristic	characteristic	ADJ
ijassa-1370	161	45	time	time	NOUN
ijassa-1370	161	46	between	between	ADP
ijassa-1370	161	47	the	the	DET
ijassa-1370	161	48	execution	execution	NOUN
ijassa-1370	161	49	of	of	ADP
ijassa-1370	161	50	the	the	DET
ijassa-1370	161	51	two	two	NUM
ijassa-1370	161	52	parts	part	NOUN
ijassa-1370	161	53	of	of	ADP
ijassa-1370	161	54	the	the	DET
ijassa-1370	161	55	desired	desire	VERB
ijassa-1370	161	56	mode	mode	NOUN
ijassa-1370	161	57	.	.	PUNCT
ijassa-1370	162	1	the	the	DET
ijassa-1370	162	2	found	find	VERB
ijassa-1370	162	3	modes	mode	NOUN
ijassa-1370	162	4	should	should	AUX
ijassa-1370	162	5	then	then	ADV
ijassa-1370	162	6	be	be	AUX
ijassa-1370	162	7	evaluated	evaluate	VERB
ijassa-1370	162	8	for	for	ADP
ijassa-1370	162	9	the	the	DET
ijassa-1370	162	10	quality	quality	NOUN
ijassa-1370	162	11	of	of	ADP
ijassa-1370	162	12	performance	performance	NOUN
ijassa-1370	162	13	by	by	ADP
ijassa-1370	162	14	the	the	DET
ijassa-1370	162	15	test	test	NOUN
ijassa-1370	162	16	pilot	pilot	NOUN
ijassa-1370	162	17	.	.	PUNCT
ijassa-1370	163	1	in	in	ADP
ijassa-1370	163	2	this	this	DET
ijassa-1370	163	3	paper	paper	NOUN
ijassa-1370	163	4	,	,	PUNCT
ijassa-1370	163	5	a	a	DET
ijassa-1370	163	6	multilayer	multilayer	ADJ
ijassa-1370	163	7	perceptron	perceptron	PROPN
ijassa-1370	163	8	is	be	AUX
ijassa-1370	163	9	used	use	VERB
ijassa-1370	163	10	for	for	ADP
ijassa-1370	163	11	this	this	DET
ijassa-1370	163	12	purpose	purpose	NOUN
ijassa-1370	163	13	,	,	PUNCT
ijassa-1370	163	14	since	since	SCONJ
ijassa-1370	163	15	the	the	DET
ijassa-1370	163	16	principle	principle	NOUN
ijassa-1370	163	17	of	of	ADP
ijassa-1370	163	18	operation	operation	NOUN
ijassa-1370	163	19	and	and	CCONJ
ijassa-1370	163	20	training	training	NOUN
ijassa-1370	163	21	of	of	ADP
ijassa-1370	163	22	this	this	DET
ijassa-1370	163	23	type	type	NOUN
ijassa-1370	163	24	of	of	ADP
ijassa-1370	163	25	neural	neural	ADJ
ijassa-1370	163	26	networks	network	NOUN
ijassa-1370	163	27	allows	allow	VERB
ijassa-1370	163	28	us	we	PRON
ijassa-1370	163	29	to	to	PART
ijassa-1370	163	30	introduce	introduce	VERB
ijassa-1370	163	31	a	a	DET
ijassa-1370	163	32	fairly	fairly	ADV
ijassa-1370	163	33	free	free	ADJ
ijassa-1370	163	34	method	method	NOUN
ijassa-1370	163	35	for	for	ADP
ijassa-1370	163	36	evaluating	evaluate	VERB
ijassa-1370	163	37	the	the	DET
ijassa-1370	163	38	mode	mode	NOUN
ijassa-1370	163	39	.	.	PUNCT
ijassa-1370	164	1	as	as	SCONJ
ijassa-1370	164	2	mentioned	mention	VERB
ijassa-1370	164	3	earlier	early	ADV
ijassa-1370	164	4	,	,	PUNCT
ijassa-1370	164	5	kohonen	kohonen	PROPN
ijassa-1370	164	6	networks	network	NOUN
ijassa-1370	164	7	are	be	AUX
ijassa-1370	164	8	excellent	excellent	ADJ
ijassa-1370	164	9	for	for	ADP
ijassa-1370	164	10	compressing	compress	VERB
ijassa-1370	164	11	data	datum	NOUN
ijassa-1370	164	12	obtained	obtain	VERB
ijassa-1370	164	13	during	during	ADP
ijassa-1370	164	14	a	a	DET
ijassa-1370	164	15	flight	flight	NOUN
ijassa-1370	164	16	experiment	experiment	NOUN
ijassa-1370	164	17	.	.	PUNCT
ijassa-1370	165	1	the	the	DET
ijassa-1370	165	2	principle	principle	NOUN
ijassa-1370	165	3	of	of	ADP
ijassa-1370	165	4	operation	operation	NOUN
ijassa-1370	165	5	of	of	ADP
ijassa-1370	165	6	this	this	DET
ijassa-1370	165	7	network	network	NOUN
ijassa-1370	165	8	,	,	PUNCT
ijassa-1370	165	9	based	base	VERB
ijassa-1370	165	10	on	on	ADP
ijassa-1370	165	11	the	the	DET
ijassa-1370	165	12	method	method	NOUN
ijassa-1370	165	13	of	of	ADP
ijassa-1370	165	14	selecting	select	VERB
ijassa-1370	165	15	the	the	DET
ijassa-1370	165	16	main	main	ADJ
ijassa-1370	165	17	components	component	NOUN
ijassa-1370	165	18	,	,	PUNCT
ijassa-1370	165	19	allows	allow	VERB
ijassa-1370	165	20	you	you	PRON
ijassa-1370	165	21	to	to	PART
ijassa-1370	165	22	separate	separate	VERB
ijassa-1370	165	23	all	all	DET
ijassa-1370	165	24	vectors	vector	NOUN
ijassa-1370	165	25	entering	enter	VERB
ijassa-1370	165	26	the	the	DET
ijassa-1370	165	27	network	network	NOUN
ijassa-1370	165	28	by	by	ADP
ijassa-1370	165	29	components	component	NOUN
ijassa-1370	165	30	that	that	PRON
ijassa-1370	165	31	distinguish	distinguish	VERB
ijassa-1370	165	32	one	one	NUM
ijassa-1370	165	33	mode	mode	NOUN
ijassa-1370	165	34	from	from	ADP
ijassa-1370	165	35	another	another	PRON
ijassa-1370	165	36	.	.	PUNCT
ijassa-1370	166	1	to	to	PART
ijassa-1370	166	2	train	train	VERB
ijassa-1370	166	3	the	the	DET
ijassa-1370	166	4	network	network	NOUN
ijassa-1370	166	5	,	,	PUNCT
ijassa-1370	166	6	you	you	PRON
ijassa-1370	166	7	can	can	AUX
ijassa-1370	166	8	use	use	VERB
ijassa-1370	166	9	both	both	DET
ijassa-1370	166	10	mode	mode	NOUN
ijassa-1370	166	11	cuts	cut	NOUN
ijassa-1370	166	12	from	from	ADP
ijassa-1370	166	13	real	real	ADJ
ijassa-1370	166	14	flight	flight	NOUN
ijassa-1370	166	15	recordings	recording	NOUN
ijassa-1370	166	16	and	and	CCONJ
ijassa-1370	166	17	simulated	simulated	ADJ
ijassa-1370	166	18	ones	one	NOUN
ijassa-1370	166	19	.	.	PUNCT
ijassa-1370	167	1	in	in	ADP
ijassa-1370	167	2	this	this	DET
ijassa-1370	167	3	paper	paper	NOUN
ijassa-1370	167	4	,	,	PUNCT
ijassa-1370	167	5	the	the	DET
ijassa-1370	167	6	second	second	ADJ
ijassa-1370	167	7	option	option	NOUN
ijassa-1370	167	8	was	be	AUX
ijassa-1370	167	9	used	use	VERB
ijassa-1370	167	10	.	.	PUNCT
ijassa-1370	168	1	to	to	PART
ijassa-1370	168	2	create	create	VERB
ijassa-1370	168	3	a	a	DET
ijassa-1370	168	4	training	training	NOUN
ijassa-1370	168	5	set	set	NOUN
ijassa-1370	168	6	,	,	PUNCT
ijassa-1370	168	7	2000	2000	NUM
ijassa-1370	168	8	modes	mode	NOUN
ijassa-1370	168	9	were	be	AUX
ijassa-1370	168	10	modeled	model	VERB
ijassa-1370	168	11	,	,	PUNCT
ijassa-1370	168	12	differing	differ	VERB
ijassa-1370	168	13	in	in	ADP
ijassa-1370	168	14	quality	quality	NOUN
ijassa-1370	168	15	when	when	SCONJ
ijassa-1370	168	16	performing	perform	VERB
ijassa-1370	168	17	elevator	elevator	NOUN
ijassa-1370	168	18	handlebars	handlebar	NOUN
ijassa-1370	168	19	.	.	PUNCT
ijassa-1370	169	1	an	an	DET
ijassa-1370	169	2	example	example	NOUN
ijassa-1370	169	3	of	of	ADP
ijassa-1370	169	4	a	a	DET
ijassa-1370	169	5	correctly	correctly	ADV
ijassa-1370	169	6	executed	execute	VERB
ijassa-1370	169	7	mode	mode	NOUN
ijassa-1370	169	8	of	of	ADP
ijassa-1370	169	9	giving	give	VERB
ijassa-1370	169	10	the	the	DET
ijassa-1370	169	11	steering	steering	NOUN
ijassa-1370	169	12	wheel	wheel	NOUN
ijassa-1370	169	13	in	in	ADP
ijassa-1370	169	14	time	time	NOUN
ijassa-1370	169	15	is	be	AUX
ijassa-1370	169	16	shown	show	VERB
ijassa-1370	169	17	in	in	ADP
ijassa-1370	169	18	fig	fig	NOUN
ijassa-1370	169	19	.	.	PUNCT
ijassa-1370	170	1	8	8	NUM
ijassa-1370	170	2	.	.	X
ijassa-1370	170	3	134	134	NUM
ijassa-1370	170	4	akhrameev	akhrameev	NOUN
ijassa-1370	170	5	v.	v.	PROPN
ijassa-1370	170	6	,	,	PUNCT
ijassa-1370	170	7	tsvetkov	tsvetkov	PROPN
ijassa-1370	170	8	e.	e.	PROPN
ijassa-1370	170	9	,	,	PUNCT
ijassa-1370	170	10	pashchenko	pashchenko	ADJ
ijassa-1370	170	11	a.	a.	NOUN
ijassa-1370	170	12	copyright	copyright	NOUN
ijassa-1370	170	13	©	©	PROPN
ijassa-1370	170	14	2023	2023	NUM
ijassa-1370	170	15	assa	assa	PROPN
ijassa-1370	170	16	adv	adv	PROPN
ijassa-1370	170	17	.	.	PUNCT
ijassa-1370	171	1	in	in	ADP
ijassa-1370	171	2	systems	system	NOUN
ijassa-1370	171	3	science	science	NOUN
ijassa-1370	171	4	and	and	CCONJ
ijassa-1370	171	5	appl	appl	NOUN
ijassa-1370	171	6	.	.	PUNCT
ijassa-1370	172	1	(	(	PUNCT
ijassa-1370	172	2	2023	2023	NUM
ijassa-1370	172	3	)	)	PUNCT
ijassa-1370	172	4	fig	fig	NOUN
ijassa-1370	172	5	.	.	PUNCT
ijassa-1370	173	1	8	8	X
ijassa-1370	173	2	.	.	PUNCT
ijassa-1370	173	3	correctly	correctly	ADV
ijassa-1370	173	4	executed	execute	VERB
ijassa-1370	173	5	driving	drive	VERB
ijassa-1370	173	6	mode	mode	NOUN
ijassa-1370	173	7	if	if	SCONJ
ijassa-1370	173	8	the	the	DET
ijassa-1370	173	9	mode	mode	NOUN
ijassa-1370	173	10	is	be	AUX
ijassa-1370	173	11	performed	perform	VERB
ijassa-1370	173	12	qualitatively	qualitatively	ADV
ijassa-1370	173	13	,	,	PUNCT
ijassa-1370	173	14	then	then	ADV
ijassa-1370	173	15	sharp	sharp	ADJ
ijassa-1370	173	16	changes	change	NOUN
ijassa-1370	173	17	in	in	ADP
ijassa-1370	173	18	the	the	DET
ijassa-1370	173	19	angular	angular	ADJ
ijassa-1370	173	20	velocity	velocity	NOUN
ijassa-1370	173	21	are	be	AUX
ijassa-1370	173	22	observed	observe	VERB
ijassa-1370	173	23	(	(	PUNCT
ijassa-1370	173	24	fig	fig	NOUN
ijassa-1370	173	25	.	.	PUNCT
ijassa-1370	173	26	9	9	NUM
ijassa-1370	173	27	)	)	PUNCT
ijassa-1370	173	28	.	.	PUNCT
ijassa-1370	174	1	fig	fig	NOUN
ijassa-1370	174	2	.	.	PUNCT
ijassa-1370	175	1	9	9	X
ijassa-1370	175	2	.	.	X
ijassa-1370	175	3	changes	change	NOUN
ijassa-1370	175	4	in	in	ADP
ijassa-1370	175	5	angular	angular	ADJ
ijassa-1370	175	6	velocity	velocity	NOUN
ijassa-1370	175	7	ωz	ωz	ADP
ijassa-1370	175	8	with	with	ADP
ijassa-1370	175	9	poor	poor	ADJ
ijassa-1370	175	10	-	-	PUNCT
ijassa-1370	175	11	quality	quality	NOUN
ijassa-1370	175	12	execution	execution	NOUN
ijassa-1370	175	13	of	of	ADP
ijassa-1370	175	14	the	the	DET
ijassa-1370	175	15	mode	mode	NOUN
ijassa-1370	175	16	(	(	PUNCT
ijassa-1370	175	17	fig	fig	NOUN
ijassa-1370	175	18	.	.	PUNCT
ijassa-1370	175	19	10	10	NUM
ijassa-1370	175	20	)	)	PUNCT
ijassa-1370	175	21	,	,	PUNCT
ijassa-1370	175	22	a	a	DET
ijassa-1370	175	23	smooth	smooth	ADJ
ijassa-1370	175	24	change	change	NOUN
ijassa-1370	175	25	in	in	ADP
ijassa-1370	175	26	the	the	DET
ijassa-1370	175	27	angular	angular	ADJ
ijassa-1370	175	28	velocity	velocity	NOUN
ijassa-1370	175	29	occurs	occur	VERB
ijassa-1370	175	30	(	(	PUNCT
ijassa-1370	175	31	fig	fig	NOUN
ijassa-1370	175	32	.	.	PUNCT
ijassa-1370	176	1	11	11	NUM
ijassa-1370	176	2	)	)	PUNCT
ijassa-1370	176	3	.	.	PUNCT
ijassa-1370	177	1	fig	fig	NOUN
ijassa-1370	177	2	.	.	PUNCT
ijassa-1370	178	1	10	10	NUM
ijassa-1370	178	2	.	.	PUNCT
ijassa-1370	178	3	poorly	poorly	ADV
ijassa-1370	178	4	executed	execute	VERB
ijassa-1370	178	5	mode	mode	NOUN
ijassa-1370	178	6	quality	quality	NOUN
ijassa-1370	178	7	control	control	NOUN
ijassa-1370	178	8	of	of	ADP
ijassa-1370	178	9	a	a	DET
ijassa-1370	178	10	real	real	ADJ
ijassa-1370	178	11	-	-	PUNCT
ijassa-1370	178	12	time	time	NOUN
ijassa-1370	178	13	flight	flight	NOUN
ijassa-1370	178	14	experiment	experiment	NOUN
ijassa-1370	178	15	…	…	PUNCT
ijassa-1370	178	16	135	135	NUM
ijassa-1370	178	17	copyright	copyright	NOUN
ijassa-1370	178	18	©	©	PROPN
ijassa-1370	178	19	2023	2023	NUM
ijassa-1370	178	20	assa	assa	NOUN
ijassa-1370	178	21	.	.	PUNCT
ijassa-1370	179	1	adv	adv	PROPN
ijassa-1370	179	2	.	.	PUNCT
ijassa-1370	180	1	in	in	ADP
ijassa-1370	180	2	systems	system	NOUN
ijassa-1370	180	3	science	science	NOUN
ijassa-1370	180	4	and	and	CCONJ
ijassa-1370	180	5	appl	appl	NOUN
ijassa-1370	180	6	.	.	PUNCT
ijassa-1370	181	1	(	(	PUNCT
ijassa-1370	181	2	2023	2023	NUM
ijassa-1370	181	3	)	)	PUNCT
ijassa-1370	181	4	fig	fig	NOUN
ijassa-1370	181	5	.	.	PUNCT
ijassa-1370	182	1	11	11	NUM
ijassa-1370	182	2	.	.	X
ijassa-1370	182	3	smooth	smooth	ADJ
ijassa-1370	182	4	change	change	NOUN
ijassa-1370	182	5	of	of	ADP
ijassa-1370	182	6	angular	angular	ADJ
ijassa-1370	182	7	velocity	velocity	NOUN
ijassa-1370	182	8	in	in	ADP
ijassa-1370	182	9	this	this	DET
ijassa-1370	182	10	numerical	numerical	ADJ
ijassa-1370	182	11	experiment	experiment	NOUN
ijassa-1370	182	12	,	,	PUNCT
ijassa-1370	182	13	a	a	DET
ijassa-1370	182	14	kohonen	kohonen	PROPN
ijassa-1370	182	15	compression	compression	NOUN
ijassa-1370	182	16	network	network	NOUN
ijassa-1370	182	17	with	with	ADP
ijassa-1370	182	18	an	an	DET
ijassa-1370	182	19	input	input	NOUN
ijassa-1370	182	20	vector	vector	NOUN
ijassa-1370	182	21	dimension	dimension	NOUN
ijassa-1370	182	22	of	of	ADP
ijassa-1370	182	23	100	100	NUM
ijassa-1370	182	24	points	point	NOUN
ijassa-1370	182	25	was	be	AUX
ijassa-1370	182	26	trained	train	VERB
ijassa-1370	182	27	,	,	PUNCT
ijassa-1370	182	28	and	and	CCONJ
ijassa-1370	182	29	the	the	DET
ijassa-1370	182	30	output	output	NOUN
ijassa-1370	182	31	vector	vector	NOUN
ijassa-1370	182	32	had	have	VERB
ijassa-1370	182	33	a	a	DET
ijassa-1370	182	34	dimension	dimension	NOUN
ijassa-1370	182	35	of	of	ADP
ijassa-1370	182	36	30	30	NUM
ijassa-1370	182	37	points	point	NOUN
ijassa-1370	182	38	.	.	PUNCT
ijassa-1370	183	1	in	in	ADP
ijassa-1370	183	2	other	other	ADJ
ijassa-1370	183	3	words	word	NOUN
ijassa-1370	183	4	,	,	PUNCT
ijassa-1370	183	5	as	as	ADP
ijassa-1370	183	6	a	a	DET
ijassa-1370	183	7	result	result	NOUN
ijassa-1370	183	8	of	of	ADP
ijassa-1370	183	9	training	training	NOUN
ijassa-1370	183	10	,	,	PUNCT
ijassa-1370	183	11	the	the	DET
ijassa-1370	183	12	network	network	NOUN
ijassa-1370	183	13	created	create	VERB
ijassa-1370	183	14	an	an	DET
ijassa-1370	183	15	internal	internal	ADJ
ijassa-1370	183	16	structure	structure	NOUN
ijassa-1370	183	17	of	of	ADP
ijassa-1370	183	18	30	30	NUM
ijassa-1370	183	19	code	code	NOUN
ijassa-1370	183	20	vectors	vector	NOUN
ijassa-1370	183	21	,	,	PUNCT
ijassa-1370	183	22	a	a	DET
ijassa-1370	183	23	measure	measure	NOUN
ijassa-1370	183	24	of	of	ADP
ijassa-1370	183	25	proximity	proximity	NOUN
ijassa-1370	183	26	to	to	PART
ijassa-1370	183	27	which	which	PRON
ijassa-1370	183	28	the	the	DET
ijassa-1370	183	29	input	input	NOUN
ijassa-1370	183	30	vector	vector	NOUN
ijassa-1370	183	31	is	be	AUX
ijassa-1370	183	32	encoded	encode	VERB
ijassa-1370	183	33	.	.	PUNCT
ijassa-1370	184	1	each	each	DET
ijassa-1370	184	2	vector	vector	NOUN
ijassa-1370	184	3	supplied	supply	VERB
ijassa-1370	184	4	to	to	ADP
ijassa-1370	184	5	the	the	DET
ijassa-1370	184	6	input	input	NOUN
ijassa-1370	184	7	of	of	ADP
ijassa-1370	184	8	the	the	DET
ijassa-1370	184	9	compression	compression	NOUN
ijassa-1370	184	10	network	network	NOUN
ijassa-1370	184	11	is	be	AUX
ijassa-1370	184	12	smoothed	smooth	VERB
ijassa-1370	184	13	by	by	ADP
ijassa-1370	184	14	the	the	DET
ijassa-1370	184	15	moving	move	VERB
ijassa-1370	184	16	average	average	ADJ
ijassa-1370	184	17	method	method	NOUN
ijassa-1370	184	18	.	.	PUNCT
ijassa-1370	185	1	let	let	VERB
ijassa-1370	185	2	there	there	PRON
ijassa-1370	185	3	be	be	AUX
ijassa-1370	185	4	an	an	DET
ijassa-1370	185	5	original	original	ADJ
ijassa-1370	185	6	vector	vector	NOUN
ijassa-1370	185	7	of	of	ADP
ijassa-1370	185	8	the	the	DET
ijassa-1370	185	9	mode	mode	NOUN
ijassa-1370	185	10	image	image	NOUN
ijassa-1370	185	11	𝑦	𝑦	NOUN
ijassa-1370	185	12	=	=	PUNCT
ijassa-1370	185	13	{	{	PUNCT
ijassa-1370	185	14	𝑦	𝑦	NOUN
ijassa-1370	185	15	,	,	PUNCT
ijassa-1370	185	16	.	.	PUNCT
ijassa-1370	185	17	.	.	PUNCT
ijassa-1370	186	1	.	.	PUNCT
ijassa-1370	187	1	,	,	PUNCT
ijassa-1370	187	2	𝑦	𝑦	NOUN
ijassa-1370	187	3	}	}	PUNCT
ijassa-1370	187	4	,	,	PUNCT
ijassa-1370	187	5	then	then	ADV
ijassa-1370	187	6	the	the	DET
ijassa-1370	187	7	smoothed	smoothed	ADJ
ijassa-1370	187	8	vector	vector	NOUN
ijassa-1370	187	9	𝑦	𝑦	NOUN
ijassa-1370	187	10	=	=	SYM
ijassa-1370	187	11	{	{	PUNCT
ijassa-1370	187	12	𝑦	𝑦	NOUN
ijassa-1370	187	13	,	,	PUNCT
ijassa-1370	187	14	.	.	PUNCT
ijassa-1370	187	15	.	.	PUNCT
ijassa-1370	187	16	.	.	PUNCT
ijassa-1370	188	1	,	,	PUNCT
ijassa-1370	188	2	𝑦	𝑦	NOUN
ijassa-1370	188	3	}	}	PUNCT
ijassa-1370	188	4	is	be	AUX
ijassa-1370	188	5	obtained	obtain	VERB
ijassa-1370	188	6	according	accord	VERB
ijassa-1370	188	7	to	to	ADP
ijassa-1370	188	8	the	the	DET
ijassa-1370	188	9	following	follow	VERB
ijassa-1370	188	10	rule	rule	NOUN
ijassa-1370	188	11	𝑦𝑦	𝑦𝑦	PROPN
ijassa-1370	188	12	=	=	PROPN
ijassa-1370	188	13	𝑦	𝑦	PROPN
ijassa-1370	188	14	,	,	PUNCT
ijassa-1370	188	15	(	(	PUNCT
ijassa-1370	188	16	10	10	NUM
ijassa-1370	188	17	)	)	PUNCT
ijassa-1370	188	18	𝑦𝑦	𝑦𝑦	NOUN
ijassa-1370	188	19	=	=	SYM
ijassa-1370	188	20	(	(	PUNCT
ijassa-1370	188	21	𝑦	𝑦	NOUN
ijassa-1370	188	22	+	+	SYM
ijassa-1370	188	23	𝑦	𝑦	NOUN
ijassa-1370	188	24	+	+	NUM
ijassa-1370	188	25	𝑦	𝑦	NOUN
ijassa-1370	188	26	)	)	PUNCT
ijassa-1370	188	27	3	3	NUM
ijassa-1370	188	28	,	,	PUNCT
ijassa-1370	188	29	(	(	PUNCT
ijassa-1370	188	30	11	11	NUM
ijassa-1370	188	31	)	)	PUNCT
ijassa-1370	189	1	𝑦𝑦	𝑦𝑦	PROPN
ijassa-1370	189	2	=	=	PRON
ijassa-1370	189	3	(	(	PUNCT
ijassa-1370	189	4	𝑦	𝑦	NOUN
ijassa-1370	189	5	+	+	SYM
ijassa-1370	189	6	𝑦	𝑦	PROPN
ijassa-1370	189	7	+	+	SYM
ijassa-1370	189	8	𝑦	𝑦	PROPN
ijassa-1370	189	9	+	+	SYM
ijassa-1370	189	10	𝑦	𝑦	NOUN
ijassa-1370	189	11	+	+	NUM
ijassa-1370	189	12	𝑦	𝑦	NOUN
ijassa-1370	189	13	)	)	PUNCT
ijassa-1370	189	14	5	5	NUM
ijassa-1370	189	15	,	,	PUNCT
ijassa-1370	189	16	(	(	PUNCT
ijassa-1370	189	17	12	12	NUM
ijassa-1370	189	18	)	)	PUNCT
ijassa-1370	189	19	𝑦𝑦	𝑦𝑦	PROPN
ijassa-1370	189	20	=	=	SYM
ijassa-1370	189	21	(	(	PUNCT
ijassa-1370	189	22	𝑦	𝑦	NOUN
ijassa-1370	189	23	+	+	SYM
ijassa-1370	189	24	𝑦	𝑦	PROPN
ijassa-1370	189	25	+	+	SYM
ijassa-1370	189	26	𝑦	𝑦	PROPN
ijassa-1370	189	27	+	+	SYM
ijassa-1370	189	28	𝑦	𝑦	NOUN
ijassa-1370	189	29	+	+	NUM
ijassa-1370	189	30	𝑦	𝑦	NOUN
ijassa-1370	189	31	)	)	PUNCT
ijassa-1370	189	32	5	5	NUM
ijassa-1370	189	33	,	,	PUNCT
ijassa-1370	189	34	(	(	PUNCT
ijassa-1370	189	35	13	13	X
ijassa-1370	189	36	)	)	PUNCT
ijassa-1370	189	37	having	having	AUX
ijassa-1370	189	38	received	receive	VERB
ijassa-1370	189	39	a	a	DET
ijassa-1370	189	40	working	work	VERB
ijassa-1370	189	41	kohonen	kohonen	PROPN
ijassa-1370	189	42	compression	compression	NOUN
ijassa-1370	189	43	network	network	NOUN
ijassa-1370	189	44	,	,	PUNCT
ijassa-1370	189	45	you	you	PRON
ijassa-1370	189	46	can	can	AUX
ijassa-1370	189	47	start	start	VERB
ijassa-1370	189	48	training	train	VERB
ijassa-1370	189	49	a	a	DET
ijassa-1370	189	50	multilayer	multilayer	ADJ
ijassa-1370	189	51	perceptron	perceptron	NOUN
ijassa-1370	189	52	.	.	PUNCT
ijassa-1370	190	1	the	the	DET
ijassa-1370	190	2	following	follow	VERB
ijassa-1370	190	3	architecture	architecture	NOUN
ijassa-1370	190	4	was	be	AUX
ijassa-1370	190	5	chosen	choose	VERB
ijassa-1370	190	6	for	for	ADP
ijassa-1370	190	7	the	the	DET
ijassa-1370	190	8	perceptron	perceptron	PROPN
ijassa-1370	190	9	:	:	PUNCT
ijassa-1370	190	10	4	4	NUM
ijassa-1370	190	11	layers	layer	NOUN
ijassa-1370	190	12	of	of	ADP
ijassa-1370	190	13	neurons	neuron	NOUN
ijassa-1370	190	14	with	with	ADP
ijassa-1370	190	15	an	an	DET
ijassa-1370	190	16	activation	activation	NOUN
ijassa-1370	190	17	function	function	NOUN
ijassa-1370	190	18	–	–	PUNCT
ijassa-1370	190	19	a	a	DET
ijassa-1370	190	20	logistic	logistic	ADJ
ijassa-1370	190	21	sigmoid	sigmoid	NOUN
ijassa-1370	190	22	,	,	PUNCT
ijassa-1370	190	23	30	30	NUM
ijassa-1370	190	24	neurons	neuron	NOUN
ijassa-1370	190	25	on	on	ADP
ijassa-1370	190	26	the	the	DET
ijassa-1370	190	27	input	input	NOUN
ijassa-1370	190	28	layer	layer	NOUN
ijassa-1370	190	29	,	,	PUNCT
ijassa-1370	190	30	40	40	NUM
ijassa-1370	190	31	neurons	neuron	NOUN
ijassa-1370	190	32	on	on	ADP
ijassa-1370	190	33	the	the	DET
ijassa-1370	190	34	first	first	ADJ
ijassa-1370	190	35	hidden	hide	VERB
ijassa-1370	190	36	layer	layer	NOUN
ijassa-1370	190	37	,	,	PUNCT
ijassa-1370	190	38	10	10	NUM
ijassa-1370	190	39	on	on	ADP
ijassa-1370	190	40	the	the	DET
ijassa-1370	190	41	second	second	ADJ
ijassa-1370	190	42	hidden	hide	VERB
ijassa-1370	190	43	layer	layer	NOUN
ijassa-1370	190	44	and	and	CCONJ
ijassa-1370	190	45	2	2	NUM
ijassa-1370	190	46	neurons	neuron	NOUN
ijassa-1370	190	47	on	on	ADP
ijassa-1370	190	48	the	the	DET
ijassa-1370	190	49	output	output	NOUN
ijassa-1370	190	50	layer	layer	NOUN
ijassa-1370	190	51	.	.	PUNCT
ijassa-1370	191	1	the	the	DET
ijassa-1370	191	2	training	training	NOUN
ijassa-1370	191	3	takes	take	VERB
ijassa-1370	191	4	place	place	NOUN
ijassa-1370	191	5	according	accord	VERB
ijassa-1370	191	6	to	to	ADP
ijassa-1370	191	7	the	the	DET
ijassa-1370	191	8	following	following	ADJ
ijassa-1370	191	9	algorithm	algorithm	NOUN
ijassa-1370	191	10	:	:	PUNCT
ijassa-1370	191	11	a	a	DET
ijassa-1370	191	12	compressed	compressed	ADJ
ijassa-1370	191	13	image	image	NOUN
ijassa-1370	191	14	of	of	ADP
ijassa-1370	191	15	the	the	DET
ijassa-1370	191	16	simulated	simulate	VERB
ijassa-1370	191	17	mode	mode	NOUN
ijassa-1370	191	18	is	be	AUX
ijassa-1370	191	19	fed	feed	VERB
ijassa-1370	191	20	to	to	ADP
ijassa-1370	191	21	the	the	DET
ijassa-1370	191	22	input	input	NOUN
ijassa-1370	191	23	,	,	PUNCT
ijassa-1370	191	24	as	as	ADP
ijassa-1370	191	25	a	a	DET
ijassa-1370	191	26	result	result	NOUN
ijassa-1370	191	27	of	of	ADP
ijassa-1370	191	28	the	the	DET
ijassa-1370	191	29	network	network	NOUN
ijassa-1370	191	30	operation	operation	NOUN
ijassa-1370	191	31	,	,	PUNCT
ijassa-1370	191	32	two	two	NUM
ijassa-1370	191	33	output	output	NOUN
ijassa-1370	191	34	neurons	neuron	NOUN
ijassa-1370	191	35	output	output	NOUN
ijassa-1370	191	36	values	value	NOUN
ijassa-1370	191	37	from	from	ADP
ijassa-1370	191	38	0	0	NUM
ijassa-1370	191	39	to	to	ADP
ijassa-1370	191	40	1	1	NUM
ijassa-1370	191	41	.	.	PUNCT
ijassa-1370	192	1	the	the	DET
ijassa-1370	192	2	difference	difference	NOUN
ijassa-1370	192	3	between	between	ADP
ijassa-1370	192	4	the	the	DET
ijassa-1370	192	5	output	output	NOUN
ijassa-1370	192	6	values	value	NOUN
ijassa-1370	192	7	of	of	ADP
ijassa-1370	192	8	the	the	DET
ijassa-1370	192	9	network	network	NOUN
ijassa-1370	192	10	and	and	CCONJ
ijassa-1370	192	11	the	the	DET
ijassa-1370	192	12	evaluation	evaluation	NOUN
ijassa-1370	192	13	of	of	ADP
ijassa-1370	192	14	the	the	DET
ijassa-1370	192	15	quality	quality	NOUN
ijassa-1370	192	16	of	of	ADP
ijassa-1370	192	17	the	the	DET
ijassa-1370	192	18	execution	execution	NOUN
ijassa-1370	192	19	of	of	ADP
ijassa-1370	192	20	the	the	DET
ijassa-1370	192	21	mode	mode	NOUN
ijassa-1370	192	22	specified	specify	VERB
ijassa-1370	192	23	during	during	ADP
ijassa-1370	192	24	the	the	DET
ijassa-1370	192	25	simulation	simulation	NOUN
ijassa-1370	192	26	is	be	AUX
ijassa-1370	192	27	calculated	calculate	VERB
ijassa-1370	192	28	.	.	PUNCT
ijassa-1370	193	1	next	next	ADV
ijassa-1370	193	2	,	,	PUNCT
ijassa-1370	193	3	the	the	DET
ijassa-1370	193	4	weights	weight	NOUN
ijassa-1370	193	5	of	of	ADP
ijassa-1370	193	6	the	the	DET
ijassa-1370	193	7	neural	neural	ADJ
ijassa-1370	193	8	network	network	NOUN
ijassa-1370	193	9	are	be	AUX
ijassa-1370	193	10	adjusted	adjust	VERB
ijassa-1370	193	11	by	by	ADP
ijassa-1370	193	12	the	the	DET
ijassa-1370	193	13	method	method	NOUN
ijassa-1370	193	14	of	of	ADP
ijassa-1370	193	15	back	back	ADJ
ijassa-1370	193	16	propagation	propagation	NOUN
ijassa-1370	193	17	of	of	ADP
ijassa-1370	193	18	the	the	DET
ijassa-1370	193	19	error	error	NOUN
ijassa-1370	193	20	.	.	PUNCT
ijassa-1370	194	1	training	training	NOUN
ijassa-1370	194	2	continues	continue	VERB
ijassa-1370	194	3	until	until	SCONJ
ijassa-1370	194	4	the	the	DET
ijassa-1370	194	5	total	total	ADJ
ijassa-1370	194	6	quadratic	quadratic	ADJ
ijassa-1370	194	7	error	error	NOUN
ijassa-1370	194	8	is	be	AUX
ijassa-1370	194	9	less	less	ADJ
ijassa-1370	194	10	than	than	ADP
ijassa-1370	194	11	some	some	DET
ijassa-1370	194	12	value	value	NOUN
ijassa-1370	194	13	specified	specify	VERB
ijassa-1370	194	14	by	by	ADP
ijassa-1370	194	15	the	the	DET
ijassa-1370	194	16	operator	operator	NOUN
ijassa-1370	194	17	.	.	PUNCT
ijassa-1370	195	1	in	in	ADP
ijassa-1370	195	2	this	this	DET
ijassa-1370	195	3	paper	paper	NOUN
ijassa-1370	195	4	,	,	PUNCT
ijassa-1370	195	5	this	this	DET
ijassa-1370	195	6	value	value	NOUN
ijassa-1370	195	7	was	be	AUX
ijassa-1370	195	8	equal	equal	ADJ
ijassa-1370	195	9	to	to	ADP
ijassa-1370	195	10	0.25	0.25	NUM
ijassa-1370	195	11	.	.	PUNCT
ijassa-1370	196	1	once	once	ADV
ijassa-1370	196	2	again	again	ADV
ijassa-1370	196	3	,	,	PUNCT
ijassa-1370	196	4	we	we	PRON
ijassa-1370	196	5	will	will	AUX
ijassa-1370	196	6	fully	fully	ADV
ijassa-1370	196	7	form	form	VERB
ijassa-1370	196	8	the	the	DET
ijassa-1370	196	9	algorithm	algorithm	NOUN
ijassa-1370	196	10	of	of	ADP
ijassa-1370	196	11	the	the	DET
ijassa-1370	196	12	recognition	recognition	NOUN
ijassa-1370	196	13	system	system	NOUN
ijassa-1370	196	14	.	.	PUNCT
ijassa-1370	197	1	initially	initially	ADV
ijassa-1370	197	2	,	,	PUNCT
ijassa-1370	197	3	a	a	DET
ijassa-1370	197	4	record	record	NOUN
ijassa-1370	197	5	of	of	ADP
ijassa-1370	197	6	the	the	DET
ijassa-1370	197	7	flight	flight	NOUN
ijassa-1370	197	8	in	in	ADP
ijassa-1370	197	9	which	which	PRON
ijassa-1370	197	10	the	the	DET
ijassa-1370	197	11	test	test	NOUN
ijassa-1370	197	12	mode	mode	NOUN
ijassa-1370	197	13	is	be	AUX
ijassa-1370	197	14	performed	perform	VERB
ijassa-1370	197	15	is	be	AUX
ijassa-1370	197	16	fed	feed	VERB
ijassa-1370	197	17	to	to	ADP
ijassa-1370	197	18	the	the	DET
ijassa-1370	197	19	input	input	NOUN
ijassa-1370	197	20	of	of	ADP
ijassa-1370	197	21	the	the	DET
ijassa-1370	197	22	system	system	NOUN
ijassa-1370	197	23	.	.	PUNCT
ijassa-1370	198	1	a	a	DET
ijassa-1370	198	2	search	search	NOUN
ijassa-1370	198	3	window	window	NOUN
ijassa-1370	198	4	with	with	ADP
ijassa-1370	198	5	a	a	DET
ijassa-1370	198	6	changing	change	VERB
ijassa-1370	198	7	size	size	NOUN
ijassa-1370	198	8	moves	move	NOUN
ijassa-1370	198	9	throughout	throughout	ADP
ijassa-1370	198	10	the	the	DET
ijassa-1370	198	11	flight	flight	NOUN
ijassa-1370	198	12	record	record	NOUN
ijassa-1370	198	13	within	within	ADP
ijassa-1370	198	14	the	the	DET
ijassa-1370	198	15	limits	limit	NOUN
ijassa-1370	198	16	set	set	VERB
ijassa-1370	198	17	in	in	ADP
ijassa-1370	198	18	advance	advance	NOUN
ijassa-1370	198	19	.	.	PUNCT
ijassa-1370	199	1	each	each	DET
ijassa-1370	199	2	image	image	NOUN
ijassa-1370	199	3	that	that	PRON
ijassa-1370	199	4	enters	enter	VERB
ijassa-1370	199	5	the	the	DET
ijassa-1370	199	6	window	window	NOUN
ijassa-1370	199	7	is	be	AUX
ijassa-1370	199	8	smoothed	smooth	VERB
ijassa-1370	199	9	and	and	CCONJ
ijassa-1370	199	10	interpolated	interpolate	VERB
ijassa-1370	199	11	into	into	ADP
ijassa-1370	199	12	a	a	DET
ijassa-1370	199	13	vector	vector	NOUN
ijassa-1370	199	14	with	with	ADP
ijassa-1370	199	15	a	a	DET
ijassa-1370	199	16	dimension	dimension	NOUN
ijassa-1370	199	17	equal	equal	ADJ
ijassa-1370	199	18	to	to	ADP
ijassa-1370	199	19	50	50	NUM
ijassa-1370	199	20	points	point	NOUN
ijassa-1370	199	21	.	.	PUNCT
ijassa-1370	200	1	the	the	DET
ijassa-1370	200	2	resulting	result	VERB
ijassa-1370	200	3	vector	vector	NOUN
ijassa-1370	200	4	is	be	AUX
ijassa-1370	200	5	fed	feed	VERB
ijassa-1370	200	6	to	to	ADP
ijassa-1370	200	7	the	the	DET
ijassa-1370	200	8	input	input	NOUN
ijassa-1370	200	9	of	of	ADP
ijassa-1370	200	10	the	the	DET
ijassa-1370	200	11	primary	primary	ADJ
ijassa-1370	200	12	kohonen	kohonen	PROPN
ijassa-1370	200	13	recognition	recognition	PROPN
ijassa-1370	200	14	network	network	NOUN
ijassa-1370	200	15	.	.	PUNCT
ijassa-1370	201	1	if	if	SCONJ
ijassa-1370	201	2	any	any	PRON
ijassa-1370	201	3	of	of	ADP
ijassa-1370	201	4	the	the	DET
ijassa-1370	201	5	neurons	neuron	NOUN
ijassa-1370	201	6	of	of	ADP
ijassa-1370	201	7	the	the	DET
ijassa-1370	201	8	control	control	NOUN
ijassa-1370	201	9	group	group	NOUN
ijassa-1370	201	10	defined	define	VERB
ijassa-1370	201	11	at	at	ADP
ijassa-1370	201	12	the	the	DET
ijassa-1370	201	13	training	training	NOUN
ijassa-1370	201	14	stage	stage	NOUN
ijassa-1370	201	15	takes	take	VERB
ijassa-1370	201	16	a	a	DET
ijassa-1370	201	17	value	value	NOUN
ijassa-1370	201	18	greater	great	ADJ
ijassa-1370	201	19	than	than	ADP
ijassa-1370	201	20	0.9	0.9	NUM
ijassa-1370	201	21	,	,	PUNCT
ijassa-1370	201	22	the	the	DET
ijassa-1370	201	23	time	time	NOUN
ijassa-1370	201	24	values	value	NOUN
ijassa-1370	201	25	corresponding	correspond	VERB
ijassa-1370	201	26	to	to	ADP
ijassa-1370	201	27	this	this	DET
ijassa-1370	201	28	section	section	NOUN
ijassa-1370	201	29	of	of	ADP
ijassa-1370	201	30	the	the	DET
ijassa-1370	201	31	flight	flight	NOUN
ijassa-1370	201	32	are	be	AUX
ijassa-1370	201	33	recorded	record	VERB
ijassa-1370	201	34	in	in	ADP
ijassa-1370	201	35	the	the	DET
ijassa-1370	201	36	array	array	NOUN
ijassa-1370	201	37	.	.	PUNCT
ijassa-1370	202	1	this	this	PRON
ijassa-1370	202	2	creates	create	VERB
ijassa-1370	202	3	a	a	DET
ijassa-1370	202	4	slicing	slicing	NOUN
ijassa-1370	202	5	of	of	ADP
ijassa-1370	202	6	the	the	DET
ijassa-1370	202	7	entire	entire	ADJ
ijassa-1370	202	8	mode	mode	NOUN
ijassa-1370	202	9	into	into	ADP
ijassa-1370	202	10	sections	section	NOUN
ijassa-1370	202	11	where	where	SCONJ
ijassa-1370	202	12	a	a	DET
ijassa-1370	202	13	highquality	highquality	NOUN
ijassa-1370	202	14	maneuver	maneuver	NOUN
ijassa-1370	202	15	is	be	AUX
ijassa-1370	202	16	presumably	presumably	ADV
ijassa-1370	202	17	located	locate	VERB
ijassa-1370	202	18	.	.	PUNCT
ijassa-1370	203	1	further	far	ADV
ijassa-1370	203	2	,	,	PUNCT
ijassa-1370	203	3	these	these	DET
ijassa-1370	203	4	sections	section	NOUN
ijassa-1370	203	5	are	be	AUX
ijassa-1370	203	6	encoded	encode	VERB
ijassa-1370	203	7	by	by	ADP
ijassa-1370	203	8	the	the	DET
ijassa-1370	203	9	second	second	ADJ
ijassa-1370	203	10	kohonen	kohonen	PROPN
ijassa-1370	203	11	compression	compression	NOUN
ijassa-1370	203	12	network	network	NOUN
ijassa-1370	203	13	and	and	CCONJ
ijassa-1370	203	14	the	the	DET
ijassa-1370	203	15	outputs	output	NOUN
ijassa-1370	203	16	of	of	ADP
ijassa-1370	203	17	this	this	DET
ijassa-1370	203	18	network	network	NOUN
ijassa-1370	203	19	are	be	AUX
ijassa-1370	203	20	fed	feed	VERB
ijassa-1370	203	21	to	to	ADP
ijassa-1370	203	22	the	the	DET
ijassa-1370	203	23	input	input	NOUN
ijassa-1370	203	24	of	of	ADP
ijassa-1370	203	25	a	a	DET
ijassa-1370	203	26	multilayer	multilayer	ADJ
ijassa-1370	203	27	perceptron	perceptron	NOUN
ijassa-1370	203	28	,	,	PUNCT
ijassa-1370	203	29	which	which	PRON
ijassa-1370	203	30	determines	determine	VERB
ijassa-1370	203	31	the	the	DET
ijassa-1370	203	32	quality	quality	NOUN
ijassa-1370	203	33	of	of	ADP
ijassa-1370	203	34	the	the	DET
ijassa-1370	203	35	recognized	recognize	VERB
ijassa-1370	203	36	mode	mode	NOUN
ijassa-1370	203	37	.	.	PUNCT
ijassa-1370	204	1	the	the	DET
ijassa-1370	204	2	evaluation	evaluation	NOUN
ijassa-1370	204	3	136	136	NUM
ijassa-1370	204	4	akhrameev	akhrameev	NOUN
ijassa-1370	204	5	v.	v.	ADP
ijassa-1370	204	6	,	,	PUNCT
ijassa-1370	204	7	tsvetkov	tsvetkov	PROPN
ijassa-1370	204	8	e.	e.	PROPN
ijassa-1370	204	9	,	,	PUNCT
ijassa-1370	204	10	pashchenko	pashchenko	ADJ
ijassa-1370	204	11	a.	a.	NOUN
ijassa-1370	204	12	copyright	copyright	NOUN
ijassa-1370	204	13	©	©	PROPN
ijassa-1370	204	14	2023	2023	NUM
ijassa-1370	204	15	assa	assa	PROPN
ijassa-1370	204	16	adv	adv	PROPN
ijassa-1370	204	17	.	.	PUNCT
ijassa-1370	205	1	in	in	ADP
ijassa-1370	205	2	systems	system	NOUN
ijassa-1370	205	3	science	science	NOUN
ijassa-1370	205	4	and	and	CCONJ
ijassa-1370	205	5	appl	appl	NOUN
ijassa-1370	205	6	.	.	PUNCT
ijassa-1370	206	1	(	(	PUNCT
ijassa-1370	206	2	2023	2023	NUM
ijassa-1370	206	3	)	)	PUNCT
ijassa-1370	206	4	of	of	ADP
ijassa-1370	206	5	the	the	DET
ijassa-1370	206	6	mode	mode	NOUN
ijassa-1370	206	7	varies	vary	VERB
ijassa-1370	206	8	from	from	ADP
ijassa-1370	206	9	0	0	NUM
ijassa-1370	206	10	to	to	ADP
ijassa-1370	206	11	1	1	NUM
ijassa-1370	206	12	,	,	PUNCT
ijassa-1370	206	13	where	where	SCONJ
ijassa-1370	206	14	1	1	NUM
ijassa-1370	206	15	is	be	AUX
ijassa-1370	206	16	a	a	DET
ijassa-1370	206	17	qualitatively	qualitatively	ADV
ijassa-1370	206	18	executed	execute	VERB
ijassa-1370	206	19	mode	mode	NOUN
ijassa-1370	206	20	,	,	PUNCT
ijassa-1370	206	21	0	0	NUM
ijassa-1370	206	22	–	–	PUNCT
ijassa-1370	206	23	this	this	DET
ijassa-1370	206	24	mode	mode	NOUN
ijassa-1370	206	25	is	be	AUX
ijassa-1370	206	26	not	not	PART
ijassa-1370	206	27	suitable	suitable	ADJ
ijassa-1370	206	28	for	for	ADP
ijassa-1370	206	29	determining	determine	VERB
ijassa-1370	206	30	the	the	DET
ijassa-1370	206	31	characteristics	characteristic	NOUN
ijassa-1370	206	32	of	of	ADP
ijassa-1370	206	33	the	the	DET
ijassa-1370	206	34	aircraft	aircraft	NOUN
ijassa-1370	206	35	.	.	PUNCT
ijassa-1370	207	1	consider	consider	VERB
ijassa-1370	207	2	in	in	ADP
ijassa-1370	207	3	detail	detail	NOUN
ijassa-1370	207	4	the	the	DET
ijassa-1370	207	5	work	work	NOUN
ijassa-1370	207	6	of	of	ADP
ijassa-1370	207	7	the	the	DET
ijassa-1370	207	8	primary	primary	ADJ
ijassa-1370	207	9	kohonen	kohonen	PROPN
ijassa-1370	207	10	recognition	recognition	PROPN
ijassa-1370	207	11	network	network	NOUN
ijassa-1370	207	12	with	with	ADP
ijassa-1370	207	13	sequential	sequential	ADJ
ijassa-1370	207	14	mode	mode	NOUN
ijassa-1370	207	15	recording	recording	NOUN
ijassa-1370	207	16	.	.	PUNCT
ijassa-1370	208	1	let	let	VERB
ijassa-1370	208	2	a	a	DET
ijassa-1370	208	3	window	window	NOUN
ijassa-1370	208	4	capturing	capture	VERB
ijassa-1370	208	5	100	100	NUM
ijassa-1370	208	6	points	point	NOUN
ijassa-1370	208	7	move	move	NOUN
ijassa-1370	208	8	according	accord	VERB
ijassa-1370	208	9	to	to	ADP
ijassa-1370	208	10	the	the	DET
ijassa-1370	208	11	record	record	NOUN
ijassa-1370	208	12	shown	show	VERB
ijassa-1370	208	13	in	in	ADP
ijassa-1370	208	14	fig	fig	NOUN
ijassa-1370	208	15	.	.	PUNCT
ijassa-1370	209	1	12	12	NUM
ijassa-1370	209	2	.	.	PUNCT
ijassa-1370	209	3	fig	fig	NOUN
ijassa-1370	209	4	.	.	PUNCT
ijassa-1370	210	1	12	12	NUM
ijassa-1370	210	2	.	.	PUNCT
ijassa-1370	211	1	an	an	DET
ijassa-1370	211	2	example	example	NOUN
ijassa-1370	211	3	of	of	ADP
ijassa-1370	211	4	a	a	DET
ijassa-1370	211	5	flight	flight	NOUN
ijassa-1370	211	6	recording	recording	NOUN
ijassa-1370	211	7	of	of	ADP
ijassa-1370	211	8	a	a	DET
ijassa-1370	211	9	change	change	NOUN
ijassa-1370	211	10	in	in	ADP
ijassa-1370	211	11	the	the	DET
ijassa-1370	211	12	angle	angle	NOUN
ijassa-1370	211	13	of	of	ADP
ijassa-1370	211	14	attack	attack	NOUN
ijassa-1370	211	15	based	base	VERB
ijassa-1370	211	16	on	on	ADP
ijassa-1370	211	17	the	the	DET
ijassa-1370	211	18	results	result	NOUN
ijassa-1370	211	19	of	of	ADP
ijassa-1370	211	20	the	the	DET
ijassa-1370	211	21	training	training	NOUN
ijassa-1370	211	22	,	,	PUNCT
ijassa-1370	211	23	it	it	PRON
ijassa-1370	211	24	was	be	AUX
ijassa-1370	211	25	determined	determine	VERB
ijassa-1370	211	26	that	that	SCONJ
ijassa-1370	211	27	when	when	SCONJ
ijassa-1370	211	28	the	the	DET
ijassa-1370	211	29	beginning	beginning	NOUN
ijassa-1370	211	30	and	and	CCONJ
ijassa-1370	211	31	end	end	NOUN
ijassa-1370	211	32	of	of	ADP
ijassa-1370	211	33	the	the	DET
ijassa-1370	211	34	angle	angle	NOUN
ijassa-1370	211	35	of	of	ADP
ijassa-1370	211	36	attack	attack	NOUN
ijassa-1370	211	37	recording	recording	NOUN
ijassa-1370	211	38	are	be	AUX
ijassa-1370	211	39	applied	apply	VERB
ijassa-1370	211	40	during	during	ADP
ijassa-1370	211	41	the	the	DET
ijassa-1370	211	42	test	test	NOUN
ijassa-1370	211	43	mode	mode	NOUN
ijassa-1370	211	44	,	,	PUNCT
ijassa-1370	211	45	the	the	DET
ijassa-1370	211	46	maximum	maximum	ADJ
ijassa-1370	211	47	values	value	NOUN
ijassa-1370	211	48	are	be	AUX
ijassa-1370	211	49	taken	take	VERB
ijassa-1370	211	50	by	by	ADP
ijassa-1370	211	51	2	2	NUM
ijassa-1370	211	52	and	and	CCONJ
ijassa-1370	211	53	10	10	NUM
ijassa-1370	211	54	neurons	neuron	NOUN
ijassa-1370	211	55	,	,	PUNCT
ijassa-1370	211	56	respectively	respectively	ADV
ijassa-1370	211	57	.	.	PUNCT
ijassa-1370	212	1	fig	fig	NOUN
ijassa-1370	212	2	.	.	PUNCT
ijassa-1370	213	1	13	13	NUM
ijassa-1370	213	2	shows	show	VERB
ijassa-1370	213	3	the	the	DET
ijassa-1370	213	4	time	time	NOUN
ijassa-1370	213	5	values	value	NOUN
ijassa-1370	213	6	of	of	ADP
ijassa-1370	213	7	these	these	DET
ijassa-1370	213	8	neurons	neuron	NOUN
ijassa-1370	213	9	along	along	ADP
ijassa-1370	213	10	the	the	DET
ijassa-1370	213	11	entire	entire	ADJ
ijassa-1370	213	12	recording	recording	NOUN
ijassa-1370	213	13	of	of	ADP
ijassa-1370	213	14	the	the	DET
ijassa-1370	213	15	test	test	NOUN
ijassa-1370	213	16	maneuver	maneuver	NOUN
ijassa-1370	213	17	.	.	PUNCT
ijassa-1370	214	1	fig	fig	NOUN
ijassa-1370	214	2	.	.	PUNCT
ijassa-1370	215	1	13	13	NUM
ijassa-1370	215	2	.	.	PUNCT
ijassa-1370	216	1	values	value	NOUN
ijassa-1370	216	2	of	of	ADP
ijassa-1370	216	3	neurons	neuron	NOUN
ijassa-1370	216	4	along	along	ADP
ijassa-1370	216	5	the	the	DET
ijassa-1370	216	6	recording	recording	NOUN
ijassa-1370	216	7	of	of	ADP
ijassa-1370	216	8	the	the	DET
ijassa-1370	216	9	test	test	NOUN
ijassa-1370	216	10	maneuver	maneuver	NOUN
ijassa-1370	216	11	as	as	SCONJ
ijassa-1370	216	12	you	you	PRON
ijassa-1370	216	13	can	can	AUX
ijassa-1370	216	14	see	see	VERB
ijassa-1370	216	15	,	,	PUNCT
ijassa-1370	216	16	the	the	DET
ijassa-1370	216	17	neurons	neuron	NOUN
ijassa-1370	216	18	take	take	VERB
ijassa-1370	216	19	a	a	DET
ijassa-1370	216	20	value	value	NOUN
ijassa-1370	216	21	greater	great	ADJ
ijassa-1370	216	22	than	than	ADP
ijassa-1370	216	23	0.9	0.9	NUM
ijassa-1370	216	24	in	in	ADP
ijassa-1370	216	25	those	those	DET
ijassa-1370	216	26	parts	part	NOUN
ijassa-1370	216	27	of	of	ADP
ijassa-1370	216	28	the	the	DET
ijassa-1370	216	29	recording	recording	NOUN
ijassa-1370	216	30	where	where	SCONJ
ijassa-1370	216	31	the	the	DET
ijassa-1370	216	32	beginning	beginning	NOUN
ijassa-1370	216	33	and	and	CCONJ
ijassa-1370	216	34	end	end	NOUN
ijassa-1370	216	35	of	of	ADP
ijassa-1370	216	36	the	the	DET
ijassa-1370	216	37	mode	mode	NOUN
ijassa-1370	216	38	are	be	AUX
ijassa-1370	216	39	located	locate	VERB
ijassa-1370	216	40	.	.	PUNCT
ijassa-1370	217	1	the	the	DET
ijassa-1370	217	2	remaining	remain	VERB
ijassa-1370	217	3	neurons	neuron	NOUN
ijassa-1370	217	4	of	of	ADP
ijassa-1370	217	5	the	the	DET
ijassa-1370	217	6	kohonen	kohonen	PROPN
ijassa-1370	217	7	network	network	NOUN
ijassa-1370	217	8	are	be	AUX
ijassa-1370	217	9	excited	excited	ADJ
ijassa-1370	217	10	similarly	similarly	ADV
ijassa-1370	217	11	,	,	PUNCT
ijassa-1370	217	12	when	when	SCONJ
ijassa-1370	217	13	other	other	ADJ
ijassa-1370	217	14	flight	flight	NOUN
ijassa-1370	217	15	parameters	parameter	NOUN
ijassa-1370	217	16	are	be	AUX
ijassa-1370	217	17	applied	apply	VERB
ijassa-1370	217	18	.	.	PUNCT
ijassa-1370	218	1	the	the	DET
ijassa-1370	218	2	probability	probability	NOUN
ijassa-1370	218	3	of	of	ADP
ijassa-1370	218	4	recognition	recognition	NOUN
ijassa-1370	218	5	was	be	AUX
ijassa-1370	218	6	estimated	estimate	VERB
ijassa-1370	218	7	for	for	ADP
ijassa-1370	218	8	noise	noise	NOUN
ijassa-1370	218	9	with	with	ADP
ijassa-1370	218	10	a	a	DET
ijassa-1370	218	11	maximum	maximum	ADJ
ijassa-1370	218	12	relative	relative	ADJ
ijassa-1370	218	13	amplitude	amplitude	NOUN
ijassa-1370	218	14	from	from	ADP
ijassa-1370	218	15	1	1	NUM
ijassa-1370	218	16	%	%	NOUN
ijassa-1370	218	17	to	to	PART
ijassa-1370	218	18	50	50	NUM
ijassa-1370	218	19	%	%	NOUN
ijassa-1370	218	20	with	with	ADP
ijassa-1370	218	21	different	different	ADJ
ijassa-1370	218	22	recording	recording	NOUN
ijassa-1370	218	23	mode	mode	NOUN
ijassa-1370	218	24	integrity	integrity	NOUN
ijassa-1370	218	25	up	up	ADP
ijassa-1370	218	26	to	to	PART
ijassa-1370	218	27	60	60	NUM
ijassa-1370	218	28	%	%	NOUN
ijassa-1370	218	29	of	of	ADP
ijassa-1370	218	30	the	the	DET
ijassa-1370	218	31	duration	duration	NOUN
ijassa-1370	218	32	,	,	PUNCT
ijassa-1370	218	33	with	with	ADP
ijassa-1370	218	34	a	a	DET
ijassa-1370	218	35	20	20	NUM
ijassa-1370	218	36	%	%	NOUN
ijassa-1370	218	37	cut	cut	NOUN
ijassa-1370	218	38	off	off	ADP
ijassa-1370	218	39	from	from	ADP
ijassa-1370	218	40	the	the	DET
ijassa-1370	218	41	beginning	beginning	NOUN
ijassa-1370	218	42	and	and	CCONJ
ijassa-1370	218	43	end	end	NOUN
ijassa-1370	218	44	of	of	ADP
ijassa-1370	218	45	the	the	DET
ijassa-1370	218	46	recording	recording	NOUN
ijassa-1370	218	47	.	.	PUNCT
ijassa-1370	219	1	after	after	ADP
ijassa-1370	219	2	conducting	conduct	VERB
ijassa-1370	219	3	1000	1000	NUM
ijassa-1370	219	4	tests	test	NOUN
ijassa-1370	219	5	for	for	ADP
ijassa-1370	219	6	each	each	DET
ijassa-1370	219	7	mode	mode	NOUN
ijassa-1370	219	8	,	,	PUNCT
ijassa-1370	219	9	the	the	DET
ijassa-1370	219	10	probability	probability	NOUN
ijassa-1370	219	11	of	of	ADP
ijassa-1370	219	12	recognition	recognition	NOUN
ijassa-1370	219	13	was	be	AUX
ijassa-1370	219	14	estimated	estimate	VERB
ijassa-1370	219	15	as	as	ADP
ijassa-1370	219	16	the	the	DET
ijassa-1370	219	17	ratio	ratio	NOUN
ijassa-1370	219	18	of	of	ADP
ijassa-1370	219	19	the	the	DET
ijassa-1370	219	20	number	number	NOUN
ijassa-1370	219	21	of	of	ADP
ijassa-1370	219	22	correct	correct	ADJ
ijassa-1370	219	23	recognitions	recognition	NOUN
ijassa-1370	219	24	to	to	ADP
ijassa-1370	219	25	the	the	DET
ijassa-1370	219	26	total	total	ADJ
ijassa-1370	219	27	number	number	NOUN
ijassa-1370	219	28	of	of	ADP
ijassa-1370	219	29	tests	test	NOUN
ijassa-1370	219	30	.	.	PUNCT
ijassa-1370	220	1	fig	fig	NOUN
ijassa-1370	220	2	.	.	PUNCT
ijassa-1370	221	1	14–15	14–15	NUM
ijassa-1370	221	2	below	below	ADV
ijassa-1370	221	3	shows	show	VERB
ijassa-1370	221	4	the	the	DET
ijassa-1370	221	5	dependences	dependence	NOUN
ijassa-1370	221	6	of	of	ADP
ijassa-1370	221	7	the	the	DET
ijassa-1370	221	8	recognition	recognition	NOUN
ijassa-1370	221	9	probability	probability	NOUN
ijassa-1370	221	10	on	on	ADP
ijassa-1370	221	11	the	the	DET
ijassa-1370	221	12	noise	noise	NOUN
ijassa-1370	221	13	amplitude	amplitude	NOUN
ijassa-1370	221	14	according	accord	VERB
ijassa-1370	221	15	to	to	ADP
ijassa-1370	221	16	the	the	DET
ijassa-1370	221	17	test	test	NOUN
ijassa-1370	221	18	results	result	NOUN
ijassa-1370	221	19	for	for	ADP
ijassa-1370	221	20	various	various	ADJ
ijassa-1370	221	21	specified	specify	VERB
ijassa-1370	221	22	distortion	distortion	NOUN
ijassa-1370	221	23	parameters	parameter	NOUN
ijassa-1370	221	24	.	.	PUNCT
ijassa-1370	222	1	the	the	DET
ijassa-1370	222	2	probability	probability	NOUN
ijassa-1370	222	3	of	of	ADP
ijassa-1370	222	4	recognition	recognition	NOUN
ijassa-1370	222	5	varies	vary	VERB
ijassa-1370	222	6	from	from	ADP
ijassa-1370	222	7	0	0	NUM
ijassa-1370	222	8	to	to	PART
ijassa-1370	222	9	1	1	NUM
ijassa-1370	222	10	.	.	PUNCT
ijassa-1370	222	11	quality	quality	NOUN
ijassa-1370	222	12	control	control	NOUN
ijassa-1370	222	13	of	of	ADP
ijassa-1370	222	14	a	a	DET
ijassa-1370	222	15	real	real	ADJ
ijassa-1370	222	16	-	-	PUNCT
ijassa-1370	222	17	time	time	NOUN
ijassa-1370	222	18	flight	flight	NOUN
ijassa-1370	222	19	experiment	experiment	NOUN
ijassa-1370	222	20	…	…	PUNCT
ijassa-1370	222	21	137	137	NUM
ijassa-1370	222	22	copyright	copyright	NOUN
ijassa-1370	222	23	©	©	PROPN
ijassa-1370	222	24	2023	2023	NUM
ijassa-1370	222	25	assa	assa	NOUN
ijassa-1370	222	26	.	.	PUNCT
ijassa-1370	223	1	adv	adv	PROPN
ijassa-1370	223	2	.	.	PUNCT
ijassa-1370	224	1	in	in	ADP
ijassa-1370	224	2	systems	system	NOUN
ijassa-1370	224	3	science	science	NOUN
ijassa-1370	224	4	and	and	CCONJ
ijassa-1370	224	5	appl	appl	NOUN
ijassa-1370	224	6	.	.	PUNCT
ijassa-1370	225	1	(	(	PUNCT
ijassa-1370	225	2	2023	2023	NUM
ijassa-1370	225	3	)	)	PUNCT
ijassa-1370	225	4	fig	fig	NOUN
ijassa-1370	225	5	.	.	PUNCT
ijassa-1370	226	1	14	14	NUM
ijassa-1370	226	2	.	.	PUNCT
ijassa-1370	226	3	test	test	NOUN
ijassa-1370	226	4	result	result	NOUN
ijassa-1370	226	5	when	when	SCONJ
ijassa-1370	226	6	adding	add	VERB
ijassa-1370	226	7	noise	noise	NOUN
ijassa-1370	226	8	from	from	ADP
ijassa-1370	226	9	0	0	NUM
ijassa-1370	226	10	%	%	NOUN
ijassa-1370	226	11	to	to	PART
ijassa-1370	226	12	50	50	NUM
ijassa-1370	226	13	%	%	NOUN
ijassa-1370	226	14	fig	fig	NOUN
ijassa-1370	226	15	.	.	PUNCT
ijassa-1370	227	1	15	15	NUM
ijassa-1370	227	2	.	.	PUNCT
ijassa-1370	227	3	test	test	NOUN
ijassa-1370	227	4	result	result	NOUN
ijassa-1370	227	5	when	when	SCONJ
ijassa-1370	227	6	cropping	crop	VERB
ijassa-1370	227	7	the	the	DET
ijassa-1370	227	8	image	image	NOUN
ijassa-1370	227	9	.	.	PUNCT
ijassa-1370	228	1	the	the	DET
ijassa-1370	228	2	image	image	NOUN
ijassa-1370	228	3	was	be	AUX
ijassa-1370	228	4	cropped	crop	VERB
ijassa-1370	228	5	to	to	ADP
ijassa-1370	228	6	20	20	NUM
ijassa-1370	228	7	%	%	NOUN
ijassa-1370	228	8	at	at	ADP
ijassa-1370	228	9	both	both	DET
ijassa-1370	228	10	ends	end	NOUN
ijassa-1370	228	11	.	.	PUNCT
ijassa-1370	229	1	it	it	PRON
ijassa-1370	229	2	can	can	AUX
ijassa-1370	229	3	be	be	AUX
ijassa-1370	229	4	seen	see	VERB
ijassa-1370	229	5	from	from	ADP
ijassa-1370	229	6	the	the	DET
ijassa-1370	229	7	results	result	NOUN
ijassa-1370	229	8	that	that	PRON
ijassa-1370	229	9	the	the	DET
ijassa-1370	229	10	algorithm	algorithm	NOUN
ijassa-1370	229	11	used	use	VERB
ijassa-1370	229	12	recognizes	recognize	VERB
ijassa-1370	229	13	the	the	DET
ijassa-1370	229	14	modes	mode	NOUN
ijassa-1370	229	15	with	with	ADP
ijassa-1370	229	16	sufficient	sufficient	ADJ
ijassa-1370	229	17	probability	probability	NOUN
ijassa-1370	229	18	with	with	ADP
ijassa-1370	229	19	large	large	ADJ
ijassa-1370	229	20	distortions	distortion	NOUN
ijassa-1370	229	21	.	.	PUNCT
ijassa-1370	230	1	at	at	ADP
ijassa-1370	230	2	the	the	DET
ijassa-1370	230	3	current	current	ADJ
ijassa-1370	230	4	time	time	NOUN
ijassa-1370	230	5	,	,	PUNCT
ijassa-1370	230	6	the	the	DET
ijassa-1370	230	7	relative	relative	ADJ
ijassa-1370	230	8	amplitude	amplitude	NOUN
ijassa-1370	230	9	of	of	ADP
ijassa-1370	230	10	the	the	DET
ijassa-1370	230	11	noise	noise	NOUN
ijassa-1370	230	12	in	in	ADP
ijassa-1370	230	13	the	the	DET
ijassa-1370	230	14	telemetry	telemetry	NOUN
ijassa-1370	230	15	data	datum	NOUN
ijassa-1370	230	16	is	be	AUX
ijassa-1370	230	17	approximately	approximately	ADV
ijassa-1370	230	18	5	5	NUM
ijassa-1370	230	19	%	%	NOUN
ijassa-1370	230	20	.	.	PUNCT
ijassa-1370	231	1	with	with	ADP
ijassa-1370	231	2	such	such	DET
ijassa-1370	231	3	a	a	DET
ijassa-1370	231	4	measurement	measurement	NOUN
ijassa-1370	231	5	error	error	NOUN
ijassa-1370	231	6	,	,	PUNCT
ijassa-1370	231	7	the	the	DET
ijassa-1370	231	8	probability	probability	NOUN
ijassa-1370	231	9	of	of	ADP
ijassa-1370	231	10	recognizing	recognize	VERB
ijassa-1370	231	11	the	the	DET
ijassa-1370	231	12	mode	mode	NOUN
ijassa-1370	231	13	is	be	AUX
ijassa-1370	231	14	more	more	ADJ
ijassa-1370	231	15	than	than	ADP
ijassa-1370	231	16	80	80	NUM
ijassa-1370	231	17	%	%	NOUN
ijassa-1370	231	18	,	,	PUNCT
ijassa-1370	231	19	even	even	ADV
ijassa-1370	231	20	when	when	SCONJ
ijassa-1370	231	21	only	only	ADV
ijassa-1370	231	22	60	60	NUM
ijassa-1370	231	23	%	%	NOUN
ijassa-1370	231	24	of	of	ADP
ijassa-1370	231	25	the	the	DET
ijassa-1370	231	26	recording	recording	NOUN
ijassa-1370	231	27	is	be	AUX
ijassa-1370	231	28	submitted	submit	VERB
ijassa-1370	231	29	.	.	PUNCT
ijassa-1370	232	1	the	the	DET
ijassa-1370	232	2	probability	probability	NOUN
ijassa-1370	232	3	of	of	ADP
ijassa-1370	232	4	recognition	recognition	NOUN
ijassa-1370	232	5	is	be	AUX
ijassa-1370	232	6	50	50	NUM
ijassa-1370	232	7	%	%	NOUN
ijassa-1370	232	8	with	with	ADP
ijassa-1370	232	9	a	a	DET
ijassa-1370	232	10	maximum	maximum	ADJ
ijassa-1370	232	11	amplitude	amplitude	NOUN
ijassa-1370	232	12	of	of	ADP
ijassa-1370	232	13	relative	relative	ADJ
ijassa-1370	232	14	error	error	NOUN
ijassa-1370	232	15	greater	great	ADJ
ijassa-1370	232	16	than	than	ADP
ijassa-1370	232	17	50	50	NUM
ijassa-1370	232	18	%	%	NOUN
ijassa-1370	232	19	.	.	PUNCT
ijassa-1370	233	1	now	now	ADV
ijassa-1370	233	2	let	let	VERB
ijassa-1370	233	3	's	us	PRON
ijassa-1370	233	4	consider	consider	VERB
ijassa-1370	233	5	the	the	DET
ijassa-1370	233	6	complex	complex	ADJ
ijassa-1370	233	7	operation	operation	NOUN
ijassa-1370	233	8	of	of	ADP
ijassa-1370	233	9	the	the	DET
ijassa-1370	233	10	recognition	recognition	NOUN
ijassa-1370	233	11	system	system	NOUN
ijassa-1370	233	12	with	with	ADP
ijassa-1370	233	13	the	the	DET
ijassa-1370	233	14	sequential	sequential	ADJ
ijassa-1370	233	15	submission	submission	NOUN
ijassa-1370	233	16	of	of	ADP
ijassa-1370	233	17	an	an	DET
ijassa-1370	233	18	entire	entire	ADJ
ijassa-1370	233	19	record	record	NOUN
ijassa-1370	233	20	of	of	ADP
ijassa-1370	233	21	a	a	DET
ijassa-1370	233	22	simulated	simulated	ADJ
ijassa-1370	233	23	test	test	NOUN
ijassa-1370	233	24	flight	flight	NOUN
ijassa-1370	233	25	,	,	PUNCT
ijassa-1370	233	26	in	in	ADP
ijassa-1370	233	27	order	order	NOUN
ijassa-1370	233	28	to	to	PART
ijassa-1370	233	29	verify	verify	VERB
ijassa-1370	233	30	the	the	DET
ijassa-1370	233	31	operation	operation	NOUN
ijassa-1370	233	32	of	of	ADP
ijassa-1370	233	33	the	the	DET
ijassa-1370	233	34	system	system	NOUN
ijassa-1370	233	35	in	in	ADP
ijassa-1370	233	36	real	real	ADJ
ijassa-1370	233	37	time	time	NOUN
ijassa-1370	233	38	.	.	PUNCT
ijassa-1370	234	1	fig	fig	NOUN
ijassa-1370	234	2	.	.	PUNCT
ijassa-1370	235	1	16	16	NUM
ijassa-1370	235	2	shows	show	VERB
ijassa-1370	235	3	a	a	DET
ijassa-1370	235	4	graph	graph	NOUN
ijassa-1370	235	5	of	of	ADP
ijassa-1370	235	6	changes	change	NOUN
ijassa-1370	235	7	in	in	ADP
ijassa-1370	235	8	the	the	DET
ijassa-1370	235	9	vertical	vertical	ADJ
ijassa-1370	235	10	overload	overload	NOUN
ijassa-1370	235	11	of	of	ADP
ijassa-1370	235	12	the	the	DET
ijassa-1370	235	13	aircraft	aircraft	NOUN
ijassa-1370	235	14	during	during	ADP
ijassa-1370	235	15	flight	flight	NOUN
ijassa-1370	235	16	.	.	PUNCT
ijassa-1370	236	1	this	this	DET
ijassa-1370	236	2	record	record	NOUN
ijassa-1370	236	3	was	be	AUX
ijassa-1370	236	4	processed	process	VERB
ijassa-1370	236	5	by	by	ADP
ijassa-1370	236	6	the	the	DET
ijassa-1370	236	7	recognition	recognition	NOUN
ijassa-1370	236	8	system	system	NOUN
ijassa-1370	236	9	,	,	PUNCT
ijassa-1370	236	10	and	and	CCONJ
ijassa-1370	236	11	three	three	NUM
ijassa-1370	236	12	modes	mode	NOUN
ijassa-1370	236	13	were	be	AUX
ijassa-1370	236	14	found	find	VERB
ijassa-1370	236	15	satisfying	satisfy	VERB
ijassa-1370	236	16	the	the	DET
ijassa-1370	236	17	specified	specified	ADJ
ijassa-1370	236	18	execution	execution	NOUN
ijassa-1370	236	19	conditions	condition	NOUN
ijassa-1370	236	20	.	.	PUNCT
ijassa-1370	237	1	the	the	DET
ijassa-1370	237	2	fourth	fourth	ADJ
ijassa-1370	237	3	mode	mode	NOUN
ijassa-1370	237	4	was	be	AUX
ijassa-1370	237	5	not	not	PART
ijassa-1370	237	6	recognized	recognize	VERB
ijassa-1370	237	7	,	,	PUNCT
ijassa-1370	237	8	because	because	SCONJ
ijassa-1370	237	9	the	the	DET
ijassa-1370	237	10	steering	steering	NOUN
ijassa-1370	237	11	wheel	wheel	NOUN
ijassa-1370	237	12	was	be	AUX
ijassa-1370	237	13	not	not	PART
ijassa-1370	237	14	correctly	correctly	ADV
ijassa-1370	237	15	shifted	shift	VERB
ijassa-1370	237	16	on	on	ADP
ijassa-1370	237	17	it	it	PRON
ijassa-1370	237	18	.	.	PUNCT
ijassa-1370	238	1	fig	fig	NOUN
ijassa-1370	238	2	.	.	PUNCT
ijassa-1370	239	1	16	16	NUM
ijassa-1370	239	2	.	.	PUNCT
ijassa-1370	240	1	allocation	allocation	NOUN
ijassa-1370	240	2	of	of	ADP
ijassa-1370	240	3	recognized	recognize	VERB
ijassa-1370	240	4	modes	mode	NOUN
ijassa-1370	240	5	by	by	ADP
ijassa-1370	240	6	the	the	DET
ijassa-1370	240	7	processing	processing	NOUN
ijassa-1370	240	8	system	system	NOUN
ijassa-1370	240	9	red	red	ADJ
ijassa-1370	240	10	strokes	stroke	NOUN
ijassa-1370	240	11	(	(	PUNCT
ijassa-1370	240	12	see	see	VERB
ijassa-1370	240	13	fig	fig	NOUN
ijassa-1370	240	14	.	.	PUNCT
ijassa-1370	241	1	16	16	NUM
ijassa-1370	241	2	)	)	PUNCT
ijassa-1370	241	3	the	the	DET
ijassa-1370	241	4	system	system	NOUN
ijassa-1370	241	5	marked	mark	VERB
ijassa-1370	241	6	the	the	DET
ijassa-1370	241	7	beginning	beginning	NOUN
ijassa-1370	241	8	of	of	ADP
ijassa-1370	241	9	the	the	DET
ijassa-1370	241	10	recognized	recognize	VERB
ijassa-1370	241	11	modes	mode	NOUN
ijassa-1370	241	12	,	,	PUNCT
ijassa-1370	241	13	and	and	CCONJ
ijassa-1370	241	14	green	green	PROPN
ijassa-1370	241	15	marked	mark	VERB
ijassa-1370	241	16	their	their	PRON
ijassa-1370	241	17	end	end	NOUN
ijassa-1370	241	18	.	.	PUNCT
ijassa-1370	242	1	as	as	SCONJ
ijassa-1370	242	2	you	you	PRON
ijassa-1370	242	3	can	can	AUX
ijassa-1370	242	4	see	see	VERB
ijassa-1370	242	5	,	,	PUNCT
ijassa-1370	242	6	all	all	DET
ijassa-1370	242	7	the	the	DET
ijassa-1370	242	8	qualitatively	qualitatively	ADV
ijassa-1370	242	9	executed	execute	VERB
ijassa-1370	242	10	modes	mode	NOUN
ijassa-1370	242	11	were	be	AUX
ijassa-1370	242	12	recognized	recognize	VERB
ijassa-1370	242	13	.	.	PUNCT
ijassa-1370	243	1	the	the	DET
ijassa-1370	243	2	recognition	recognition	NOUN
ijassa-1370	243	3	system	system	NOUN
ijassa-1370	243	4	rated	rate	VERB
ijassa-1370	243	5	the	the	DET
ijassa-1370	243	6	first	first	ADJ
ijassa-1370	243	7	mode	mode	NOUN
ijassa-1370	243	8	0.42260	0.42260	NUM
ijassa-1370	243	9	,	,	PUNCT
ijassa-1370	243	10	the	the	DET
ijassa-1370	243	11	second	second	ADJ
ijassa-1370	243	12	0.9063	0.9063	NUM
ijassa-1370	243	13	,	,	PUNCT
ijassa-1370	243	14	and	and	CCONJ
ijassa-1370	243	15	the	the	DET
ijassa-1370	243	16	third	third	ADJ
ijassa-1370	243	17	0.7609	0.7609	NUM
ijassa-1370	243	18	.	.	PUNCT
ijassa-1370	244	1	when	when	SCONJ
ijassa-1370	244	2	performing	perform	VERB
ijassa-1370	244	3	the	the	DET
ijassa-1370	244	4	first	first	ADJ
ijassa-1370	244	5	mode	mode	NOUN
ijassa-1370	244	6	,	,	PUNCT
ijassa-1370	244	7	it	it	PRON
ijassa-1370	244	8	moved	move	VERB
ijassa-1370	244	9	smoothly	smoothly	ADV
ijassa-1370	244	10	,	,	PUNCT
ijassa-1370	244	11	which	which	PRON
ijassa-1370	244	12	does	do	AUX
ijassa-1370	244	13	not	not	PART
ijassa-1370	244	14	meet	meet	VERB
ijassa-1370	244	15	the	the	DET
ijassa-1370	244	16	quality	quality	NOUN
ijassa-1370	244	17	requirements	requirement	NOUN
ijassa-1370	244	18	of	of	ADP
ijassa-1370	244	19	the	the	DET
ijassa-1370	244	20	test	test	NOUN
ijassa-1370	244	21	mode	mode	NOUN
ijassa-1370	244	22	,	,	PUNCT
ijassa-1370	244	23	the	the	DET
ijassa-1370	244	24	second	second	ADJ
ijassa-1370	244	25	mode	mode	NOUN
ijassa-1370	244	26	meets	meet	VERB
ijassa-1370	244	27	the	the	DET
ijassa-1370	244	28	quality	quality	NOUN
ijassa-1370	244	29	requirements	requirement	NOUN
ijassa-1370	244	30	of	of	ADP
ijassa-1370	244	31	the	the	DET
ijassa-1370	244	32	test	test	NOUN
ijassa-1370	244	33	mode	mode	NOUN
ijassa-1370	244	34	.	.	PUNCT
ijassa-1370	245	1	when	when	SCONJ
ijassa-1370	245	2	performing	perform	VERB
ijassa-1370	245	3	the	the	DET
ijassa-1370	245	4	third	third	ADJ
ijassa-1370	245	5	mode	mode	NOUN
ijassa-1370	245	6	at	at	ADP
ijassa-1370	245	7	the	the	DET
ijassa-1370	245	8	end	end	NOUN
ijassa-1370	245	9	,	,	PUNCT
ijassa-1370	245	10	the	the	DET
ijassa-1370	245	11	handle	handle	NOUN
ijassa-1370	245	12	moved	move	VERB
ijassa-1370	245	13	too	too	ADV
ijassa-1370	245	14	smoothly	smoothly	ADV
ijassa-1370	245	15	.	.	PUNCT
ijassa-1370	246	1	fig	fig	NOUN
ijassa-1370	246	2	.	.	PUNCT
ijassa-1370	247	1	17	17	NUM
ijassa-1370	247	2	shows	show	VERB
ijassa-1370	247	3	a	a	DET
ijassa-1370	247	4	graph	graph	NOUN
ijassa-1370	247	5	of	of	ADP
ijassa-1370	247	6	the	the	DET
ijassa-1370	247	7	change	change	NOUN
ijassa-1370	247	8	in	in	ADP
ijassa-1370	247	9	the	the	DET
ijassa-1370	247	10	angular	angular	ADJ
ijassa-1370	247	11	velocity	velocity	NOUN
ijassa-1370	247	12	𝑤	𝑤	X
ijassa-1370	247	13	.	.	PUNCT
ijassa-1370	248	1	138	138	NUM
ijassa-1370	248	2	akhrameev	akhrameev	PROPN
ijassa-1370	248	3	v.	v.	PROPN
ijassa-1370	248	4	,	,	PUNCT
ijassa-1370	248	5	tsvetkov	tsvetkov	PROPN
ijassa-1370	248	6	e.	e.	PROPN
ijassa-1370	248	7	,	,	PUNCT
ijassa-1370	248	8	pashchenko	pashchenko	ADJ
ijassa-1370	248	9	a.	a.	NOUN
ijassa-1370	248	10	copyright	copyright	NOUN
ijassa-1370	248	11	©	©	PROPN
ijassa-1370	248	12	2023	2023	NUM
ijassa-1370	248	13	assa	assa	PROPN
ijassa-1370	248	14	adv	adv	PROPN
ijassa-1370	248	15	.	.	PUNCT
ijassa-1370	249	1	in	in	ADP
ijassa-1370	249	2	systems	system	NOUN
ijassa-1370	249	3	science	science	NOUN
ijassa-1370	249	4	and	and	CCONJ
ijassa-1370	249	5	appl	appl	NOUN
ijassa-1370	249	6	.	.	PUNCT
ijassa-1370	250	1	(	(	PUNCT
ijassa-1370	250	2	2023	2023	NUM
ijassa-1370	250	3	)	)	PUNCT
ijassa-1370	250	4	fig	fig	NOUN
ijassa-1370	250	5	.	.	PUNCT
ijassa-1370	251	1	17	17	NUM
ijassa-1370	251	2	.	.	PUNCT
ijassa-1370	252	1	change	change	NOUN
ijassa-1370	252	2	in	in	ADP
ijassa-1370	252	3	the	the	DET
ijassa-1370	252	4	angular	angular	ADJ
ijassa-1370	252	5	velocity	velocity	NOUN
ijassa-1370	252	6	of	of	ADP
ijassa-1370	252	7	the	the	DET
ijassa-1370	252	8	pitch	pitch	NOUN
ijassa-1370	252	9	6	6	NUM
ijassa-1370	252	10	.	.	PUNCT
ijassa-1370	252	11	conclusion	conclusion	NOUN
ijassa-1370	252	12	in	in	ADP
ijassa-1370	252	13	this	this	DET
ijassa-1370	252	14	paper	paper	NOUN
ijassa-1370	252	15	the	the	DET
ijassa-1370	252	16	major	major	ADJ
ijassa-1370	252	17	types	type	NOUN
ijassa-1370	252	18	of	of	ADP
ijassa-1370	252	19	neural	neural	ADJ
ijassa-1370	252	20	networks	network	NOUN
ijassa-1370	252	21	and	and	CCONJ
ijassa-1370	252	22	methods	method	NOUN
ijassa-1370	252	23	of	of	ADP
ijassa-1370	252	24	their	their	PRON
ijassa-1370	252	25	training	training	NOUN
ijassa-1370	252	26	in	in	ADP
ijassa-1370	252	27	reference	reference	NOUN
ijassa-1370	252	28	modes	mode	NOUN
ijassa-1370	252	29	were	be	AUX
ijassa-1370	252	30	studied	study	VERB
ijassa-1370	252	31	.	.	PUNCT
ijassa-1370	253	1	two	two	NUM
ijassa-1370	253	2	types	type	NOUN
ijassa-1370	253	3	of	of	ADP
ijassa-1370	253	4	networks	network	NOUN
ijassa-1370	253	5	were	be	AUX
ijassa-1370	253	6	used	use	VERB
ijassa-1370	253	7	:	:	PUNCT
ijassa-1370	253	8	a	a	DET
ijassa-1370	253	9	multilayer	multilayer	ADJ
ijassa-1370	253	10	perceptron	perceptron	NOUN
ijassa-1370	253	11	and	and	CCONJ
ijassa-1370	253	12	a	a	DET
ijassa-1370	253	13	kohonen	kohonen	PROPN
ijassa-1370	253	14	network	network	NOUN
ijassa-1370	253	15	.	.	PUNCT
ijassa-1370	254	1	the	the	DET
ijassa-1370	254	2	multilayer	multilayer	PROPN
ijassa-1370	254	3	perceptron	perceptron	PROPN
ijassa-1370	254	4	in	in	ADP
ijassa-1370	254	5	this	this	DET
ijassa-1370	254	6	work	work	NOUN
ijassa-1370	254	7	is	be	AUX
ijassa-1370	254	8	used	use	VERB
ijassa-1370	254	9	to	to	PART
ijassa-1370	254	10	obtain	obtain	VERB
ijassa-1370	254	11	a	a	DET
ijassa-1370	254	12	final	final	ADJ
ijassa-1370	254	13	conclusion	conclusion	NOUN
ijassa-1370	254	14	about	about	ADP
ijassa-1370	254	15	the	the	DET
ijassa-1370	254	16	validity	validity	NOUN
ijassa-1370	254	17	of	of	ADP
ijassa-1370	254	18	the	the	DET
ijassa-1370	254	19	performed	perform	VERB
ijassa-1370	254	20	mode	mode	NOUN
ijassa-1370	254	21	.	.	PUNCT
ijassa-1370	255	1	the	the	DET
ijassa-1370	255	2	kohonen	kohonen	PROPN
ijassa-1370	255	3	network	network	NOUN
ijassa-1370	255	4	is	be	AUX
ijassa-1370	255	5	used	use	VERB
ijassa-1370	255	6	both	both	PRON
ijassa-1370	255	7	to	to	PART
ijassa-1370	255	8	determine	determine	VERB
ijassa-1370	255	9	the	the	DET
ijassa-1370	255	10	intervals	interval	NOUN
ijassa-1370	255	11	of	of	ADP
ijassa-1370	255	12	the	the	DET
ijassa-1370	255	13	estimated	estimate	VERB
ijassa-1370	255	14	finding	finding	NOUN
ijassa-1370	255	15	of	of	ADP
ijassa-1370	255	16	modes	mode	NOUN
ijassa-1370	255	17	close	close	ADV
ijassa-1370	255	18	to	to	ADP
ijassa-1370	255	19	the	the	DET
ijassa-1370	255	20	reference	reference	NOUN
ijassa-1370	255	21	,	,	PUNCT
ijassa-1370	255	22	and	and	CCONJ
ijassa-1370	255	23	to	to	PART
ijassa-1370	255	24	compress	compress	VERB
ijassa-1370	255	25	the	the	DET
ijassa-1370	255	26	input	input	NOUN
ijassa-1370	255	27	image	image	NOUN
ijassa-1370	255	28	for	for	ADP
ijassa-1370	255	29	the	the	DET
ijassa-1370	255	30	perceptron	perceptron	PROPN
ijassa-1370	255	31	.	.	PUNCT
ijassa-1370	256	1	the	the	DET
ijassa-1370	256	2	neural	neural	ADJ
ijassa-1370	256	3	networks	network	NOUN
ijassa-1370	256	4	used	use	VERB
ijassa-1370	256	5	in	in	ADP
ijassa-1370	256	6	this	this	DET
ijassa-1370	256	7	work	work	NOUN
ijassa-1370	256	8	and	and	CCONJ
ijassa-1370	256	9	trained	train	VERB
ijassa-1370	256	10	on	on	ADP
ijassa-1370	256	11	reference	reference	NOUN
ijassa-1370	256	12	images	image	NOUN
ijassa-1370	256	13	showed	show	VERB
ijassa-1370	256	14	excellent	excellent	ADJ
ijassa-1370	256	15	results	result	NOUN
ijassa-1370	256	16	in	in	ADP
ijassa-1370	256	17	recognizing	recognize	VERB
ijassa-1370	256	18	modes	mode	NOUN
ijassa-1370	256	19	in	in	ADP
ijassa-1370	256	20	the	the	DET
ijassa-1370	256	21	data	datum	NOUN
ijassa-1370	256	22	obtained	obtain	VERB
ijassa-1370	256	23	by	by	ADP
ijassa-1370	256	24	the	the	DET
ijassa-1370	256	25	flight	flight	NOUN
ijassa-1370	256	26	experiment	experiment	NOUN
ijassa-1370	256	27	.	.	PUNCT
ijassa-1370	257	1	the	the	DET
ijassa-1370	257	2	described	describe	VERB
ijassa-1370	257	3	network	network	NOUN
ijassa-1370	257	4	learning	learn	VERB
ijassa-1370	257	5	algorithms	algorithm	NOUN
ijassa-1370	257	6	can	can	AUX
ijassa-1370	257	7	be	be	AUX
ijassa-1370	257	8	used	use	VERB
ijassa-1370	257	9	to	to	PART
ijassa-1370	257	10	work	work	VERB
ijassa-1370	257	11	with	with	ADP
ijassa-1370	257	12	images	image	NOUN
ijassa-1370	257	13	of	of	ADP
ijassa-1370	257	14	other	other	ADJ
ijassa-1370	257	15	modes	mode	NOUN
ijassa-1370	257	16	.	.	PUNCT
ijassa-1370	258	1	an	an	DET
ijassa-1370	258	2	algorithm	algorithm	NOUN
ijassa-1370	258	3	has	have	AUX
ijassa-1370	258	4	been	be	AUX
ijassa-1370	258	5	developed	develop	VERB
ijassa-1370	258	6	for	for	ADP
ijassa-1370	258	7	recognizing	recognize	VERB
ijassa-1370	258	8	the	the	DET
ijassa-1370	258	9	flight	flight	NOUN
ijassa-1370	258	10	experiment	experiment	NOUN
ijassa-1370	258	11	mode	mode	NOUN
ijassa-1370	258	12	using	use	VERB
ijassa-1370	258	13	the	the	DET
ijassa-1370	258	14	described	describe	VERB
ijassa-1370	258	15	networks	network	NOUN
ijassa-1370	258	16	on	on	ADP
ijassa-1370	258	17	the	the	DET
ijassa-1370	258	18	example	example	NOUN
ijassa-1370	258	19	of	of	ADP
ijassa-1370	258	20	data	datum	NOUN
ijassa-1370	258	21	on	on	ADP
ijassa-1370	258	22	the	the	DET
ijassa-1370	258	23	deviation	deviation	NOUN
ijassa-1370	258	24	of	of	ADP
ijassa-1370	258	25	the	the	DET
ijassa-1370	258	26	elevator	elevator	NOUN
ijassa-1370	258	27	,	,	PUNCT
ijassa-1370	258	28	the	the	DET
ijassa-1370	258	29	magnitude	magnitude	NOUN
ijassa-1370	258	30	of	of	ADP
ijassa-1370	258	31	the	the	DET
ijassa-1370	258	32	overload	overload	NOUN
ijassa-1370	258	33	and	and	CCONJ
ijassa-1370	258	34	the	the	DET
ijassa-1370	258	35	angle	angle	NOUN
ijassa-1370	258	36	of	of	ADP
ijassa-1370	258	37	attack	attack	NOUN
ijassa-1370	258	38	when	when	SCONJ
ijassa-1370	258	39	performing	perform	VERB
ijassa-1370	258	40	the	the	DET
ijassa-1370	258	41	"	"	PUNCT
ijassa-1370	258	42	dacha	dacha	ADJ
ijassa-1370	258	43	pitch	pitch	NOUN
ijassa-1370	258	44	"	"	PUNCT
ijassa-1370	258	45	maneuver	maneuver	NOUN
ijassa-1370	258	46	.	.	PUNCT
ijassa-1370	259	1	this	this	DET
ijassa-1370	259	2	algorithm	algorithm	NOUN
ijassa-1370	259	3	can	can	AUX
ijassa-1370	259	4	be	be	AUX
ijassa-1370	259	5	used	use	VERB
ijassa-1370	259	6	to	to	PART
ijassa-1370	259	7	recognize	recognize	VERB
ijassa-1370	259	8	other	other	ADJ
ijassa-1370	259	9	flight	flight	NOUN
ijassa-1370	259	10	modes	mode	NOUN
ijassa-1370	259	11	.	.	PUNCT
ijassa-1370	260	1	the	the	DET
ijassa-1370	260	2	operation	operation	NOUN
ijassa-1370	260	3	of	of	ADP
ijassa-1370	260	4	the	the	DET
ijassa-1370	260	5	system	system	NOUN
ijassa-1370	260	6	has	have	AUX
ijassa-1370	260	7	been	be	AUX
ijassa-1370	260	8	tested	test	VERB
ijassa-1370	260	9	when	when	SCONJ
ijassa-1370	260	10	simulating	simulate	VERB
ijassa-1370	260	11	real	real	ADJ
ijassa-1370	260	12	-	-	PUNCT
ijassa-1370	260	13	time	time	NOUN
ijassa-1370	260	14	data	datum	NOUN
ijassa-1370	260	15	acquisition	acquisition	NOUN
ijassa-1370	260	16	.	.	PUNCT
ijassa-1370	261	1	the	the	DET
ijassa-1370	261	2	results	result	NOUN
ijassa-1370	261	3	obtained	obtain	VERB
ijassa-1370	261	4	show	show	NOUN
ijassa-1370	261	5	that	that	SCONJ
ijassa-1370	261	6	the	the	DET
ijassa-1370	261	7	system	system	NOUN
ijassa-1370	261	8	recognizes	recognize	VERB
ijassa-1370	261	9	all	all	DET
ijassa-1370	261	10	qualitatively	qualitatively	ADV
ijassa-1370	261	11	executed	execute	VERB
ijassa-1370	261	12	modes	mode	NOUN
ijassa-1370	261	13	and	and	CCONJ
ijassa-1370	261	14	their	their	PRON
ijassa-1370	261	15	assessment	assessment	NOUN
ijassa-1370	261	16	corresponds	correspond	VERB
ijassa-1370	261	17	to	to	ADP
ijassa-1370	261	18	reality	reality	NOUN
ijassa-1370	261	19	.	.	PUNCT
ijassa-1370	262	1	the	the	DET
ijassa-1370	262	2	system	system	NOUN
ijassa-1370	262	3	has	have	AUX
ijassa-1370	262	4	shown	show	VERB
ijassa-1370	262	5	sufficient	sufficient	ADJ
ijassa-1370	262	6	stability	stability	NOUN
ijassa-1370	262	7	of	of	ADP
ijassa-1370	262	8	operation	operation	NOUN
ijassa-1370	262	9	with	with	ADP
ijassa-1370	262	10	a	a	DET
ijassa-1370	262	11	relative	relative	ADJ
ijassa-1370	262	12	noise	noise	NOUN
ijassa-1370	262	13	of	of	ADP
ijassa-1370	262	14	up	up	ADP
ijassa-1370	262	15	to	to	PART
ijassa-1370	262	16	30	30	NUM
ijassa-1370	262	17	%	%	NOUN
ijassa-1370	262	18	references	reference	NOUN
ijassa-1370	262	19	1	1	NUM
ijassa-1370	262	20	.	.	PUNCT
ijassa-1370	263	1	kotik	kotik	PROPN
ijassa-1370	263	2	,	,	PUNCT
ijassa-1370	263	3	m.	m.	NOUN
ijassa-1370	263	4	g.	g.	PROPN
ijassa-1370	263	5	,	,	PUNCT
ijassa-1370	263	6	pavlov	pavlov	PROPN
ijassa-1370	263	7	,	,	PUNCT
ijassa-1370	263	8	a.	a.	NOUN
ijassa-1370	263	9	v.	v.	PROPN
ijassa-1370	263	10	,	,	PUNCT
ijassa-1370	263	11	pashkovsky	pashkovsky	NOUN
ijassa-1370	263	12	,	,	PUNCT
ijassa-1370	263	13	i.	i.	NOUN
ijassa-1370	263	14	m.	m.	PROPN
ijassa-1370	263	15	,	,	PUNCT
ijassa-1370	263	16	sardanovsky	sardanovsky	PROPN
ijassa-1370	263	17	,	,	PUNCT
ijassa-1370	263	18	yu	yu	PROPN
ijassa-1370	263	19	.	.	PUNCT
ijassa-1370	263	20	s.	s.	PROPN
ijassa-1370	263	21	,	,	PUNCT
ijassa-1370	263	22	&	&	CCONJ
ijassa-1370	263	23	shchitaev	shchitaev	PROPN
ijassa-1370	263	24	,	,	PUNCT
ijassa-1370	263	25	n.	n.	PROPN
ijassa-1370	263	26	g.	g.	PROPN
ijassa-1370	263	27	(	(	PUNCT
ijassa-1370	263	28	1965	1965	NUM
ijassa-1370	263	29	)	)	PUNCT
ijassa-1370	263	30	.	.	PUNCT
ijassa-1370	264	1	letnye	letnye	PROPN
ijassa-1370	264	2	ispitaniya	ispitaniya	PROPN
ijassa-1370	264	3	samoletov	samoletov	PROPN
ijassa-1370	265	1	[	[	X
ijassa-1370	265	2	flight	flight	NOUN
ijassa-1370	265	3	tests	test	NOUN
ijassa-1370	265	4	of	of	ADP
ijassa-1370	265	5	aircraft	aircraft	NOUN
ijassa-1370	265	6	]	]	PUNCT
ijassa-1370	265	7	.	.	PUNCT
ijassa-1370	266	1	russia	russia	PROPN
ijassa-1370	266	2	,	,	PUNCT
ijassa-1370	266	3	moscow	moscow	PROPN
ijassa-1370	266	4	:	:	PUNCT
ijassa-1370	266	5	mashinostroenie	mashinostroenie	NOUN
ijassa-1370	266	6	,	,	PUNCT
ijassa-1370	266	7	[	[	X
ijassa-1370	266	8	in	in	ADP
ijassa-1370	266	9	russian	russian	PROPN
ijassa-1370	266	10	]	]	PUNCT
ijassa-1370	266	11	.	.	PUNCT
ijassa-1370	267	1	2	2	X
ijassa-1370	267	2	.	.	X
ijassa-1370	267	3	pashkovsky	pashkovsky	NOUN
ijassa-1370	267	4	,	,	PUNCT
ijassa-1370	267	5	i.	i.	PROPN
ijassa-1370	267	6	m.	m.	PROPN
ijassa-1370	267	7	(	(	PUNCT
ijassa-1370	267	8	1975	1975	NUM
ijassa-1370	267	9	)	)	PUNCT
ijassa-1370	267	10	.	.	PUNCT
ijassa-1370	268	1	ustoichivost	ustoichivost	NOUN
ijassa-1370	268	2	’	'	PUNCT
ijassa-1370	268	3	i	i	PRON
ijassa-1370	268	4	upravlyaemost	upravlyaemost	ADJ
ijassa-1370	268	5	’	'	PUNCT
ijassa-1370	268	6	samoleta	samoleta	NOUN
ijassa-1370	269	1	[	[	X
ijassa-1370	269	2	stability	stability	NOUN
ijassa-1370	269	3	and	and	CCONJ
ijassa-1370	269	4	controllability	controllability	NOUN
ijassa-1370	269	5	of	of	ADP
ijassa-1370	269	6	the	the	DET
ijassa-1370	269	7	aircraft	aircraft	NOUN
ijassa-1370	269	8	]	]	PUNCT
ijassa-1370	269	9	.	.	PUNCT
ijassa-1370	270	1	moscow	moscow	PROPN
ijassa-1370	270	2	,	,	PUNCT
ijassa-1370	270	3	russia	russia	PROPN
ijassa-1370	270	4	:	:	PUNCT
ijassa-1370	270	5	mashinostroenie	mashinostroenie	PROPN
ijassa-1370	270	6	,	,	PUNCT
ijassa-1370	270	7	[	[	X
ijassa-1370	270	8	in	in	ADP
ijassa-1370	270	9	russian	russian	PROPN
ijassa-1370	270	10	]	]	PUNCT
ijassa-1370	270	11	.	.	PUNCT
ijassa-1370	271	1	3	3	X
ijassa-1370	271	2	.	.	X
ijassa-1370	271	3	gorelik	gorelik	PROPN
ijassa-1370	271	4	a.	a.	PROPN
ijassa-1370	271	5	l.	l.	PROPN
ijassa-1370	271	6	,	,	PUNCT
ijassa-1370	271	7	&	&	CCONJ
ijassa-1370	271	8	skripkin	skripkin	PROPN
ijassa-1370	271	9	,	,	PUNCT
ijassa-1370	271	10	v.	v.	ADP
ijassa-1370	271	11	a.	a.	NOUN
ijassa-1370	271	12	(	(	PUNCT
ijassa-1370	271	13	1977	1977	NUM
ijassa-1370	271	14	)	)	PUNCT
ijassa-1370	271	15	.	.	PUNCT
ijassa-1370	272	1	metody	metody	ADJ
ijassa-1370	272	2	raspoznavaniya	raspoznavaniya	PROPN
ijassa-1370	273	1	[	[	X
ijassa-1370	273	2	recognition	recognition	NOUN
ijassa-1370	273	3	methods	method	VERB
ijassa-1370	273	4	]	]	PUNCT
ijassa-1370	273	5	.	.	PUNCT
ijassa-1370	274	1	moscow	moscow	PROPN
ijassa-1370	274	2	,	,	PUNCT
ijassa-1370	274	3	russia	russia	PROPN
ijassa-1370	274	4	:	:	PUNCT
ijassa-1370	274	5	vischaya	vischaya	PROPN
ijassa-1370	274	6	shkola	shkola	PROPN
ijassa-1370	274	7	,	,	PUNCT
ijassa-1370	275	1	[	[	X
ijassa-1370	275	2	in	in	ADP
ijassa-1370	275	3	russian	russian	PROPN
ijassa-1370	275	4	]	]	PUNCT
ijassa-1370	275	5	.	.	PUNCT
ijassa-1370	276	1	4	4	X
ijassa-1370	276	2	.	.	X
ijassa-1370	276	3	aksenov	aksenov	PROPN
ijassa-1370	276	4	,	,	PUNCT
ijassa-1370	276	5	s.	s.	PROPN
ijassa-1370	276	6	v.	v.	PROPN
ijassa-1370	276	7	,	,	PUNCT
ijassa-1370	276	8	&	&	CCONJ
ijassa-1370	276	9	novoseltsev	novoseltsev	PROPN
ijassa-1370	276	10	,	,	PUNCT
ijassa-1370	276	11	v.	v.	PROPN
ijassa-1370	276	12	b.	b.	PROPN
ijassa-1370	276	13	(	(	PUNCT
ijassa-1370	276	14	2006	2006	NUM
ijassa-1370	276	15	)	)	PUNCT
ijassa-1370	276	16	.	.	PUNCT
ijassa-1370	277	1	organizaciya	organizaciya	NOUN
ijassa-1370	278	1	i	i	PRON
ijassa-1370	278	2	ispolzovanie	ispolzovanie	VERB
ijassa-1370	278	3	neironnyh	neironnyh	PROPN
ijassa-1370	278	4	setei	setei	NOUN
ijassa-1370	278	5	(	(	PUNCT
ijassa-1370	278	6	metody	metody	VERB
ijassa-1370	278	7	i	i	NOUN
ijassa-1370	278	8	tehnologii	tehnologii	PROPN
ijassa-1370	278	9	)	)	PUNCT
ijassa-1370	279	1	[	[	X
ijassa-1370	279	2	organization	organization	NOUN
ijassa-1370	279	3	and	and	CCONJ
ijassa-1370	279	4	use	use	NOUN
ijassa-1370	279	5	of	of	ADP
ijassa-1370	279	6	neural	neural	ADJ
ijassa-1370	279	7	networks	network	NOUN
ijassa-1370	279	8	(	(	PUNCT
ijassa-1370	279	9	methods	method	NOUN
ijassa-1370	279	10	and	and	CCONJ
ijassa-1370	279	11	technologies	technology	NOUN
ijassa-1370	279	12	)	)	PUNCT
ijassa-1370	279	13	]	]	PUNCT
ijassa-1370	279	14	.	.	PUNCT
ijassa-1370	280	1	tomsk	tomsk	PROPN
ijassa-1370	280	2	,	,	PUNCT
ijassa-1370	280	3	russia	russia	PROPN
ijassa-1370	280	4	:	:	PUNCT
ijassa-1370	280	5	izdatelstvo	izdatelstvo	PROPN
ijassa-1370	280	6	ntl	ntl	PROPN
ijassa-1370	280	7	,	,	PUNCT
ijassa-1370	280	8	[	[	X
ijassa-1370	280	9	in	in	ADP
ijassa-1370	280	10	russian	russian	PROPN
ijassa-1370	280	11	]	]	PUNCT
ijassa-1370	280	12	.	.	PUNCT
ijassa-1370	281	1	5	5	X
ijassa-1370	281	2	.	.	X
ijassa-1370	281	3	haikin	haikin	PROPN
ijassa-1370	281	4	,	,	PUNCT
ijassa-1370	281	5	s.	s.	PROPN
ijassa-1370	281	6	(	(	PUNCT
ijassa-1370	281	7	2006	2006	NUM
ijassa-1370	281	8	)	)	PUNCT
ijassa-1370	281	9	.	.	PUNCT
ijassa-1370	282	1	neironnie	neironnie	PROPN
ijassa-1370	282	2	seti	seti	NOUN
ijassa-1370	282	3	:	:	PUNCT
ijassa-1370	282	4	polniy	polniy	PROPN
ijassa-1370	282	5	kurs	kurs	PROPN
ijassa-1370	282	6	,	,	PUNCT
ijassa-1370	282	7	2	2	NUM
ijassa-1370	282	8	-	-	PUNCT
ijassa-1370	282	9	e	e	NOUN
ijassa-1370	282	10	izdanie	izdanie	NOUN
ijassa-1370	283	1	[	[	X
ijassa-1370	283	2	neural	neural	ADJ
ijassa-1370	283	3	networks	network	NOUN
ijassa-1370	283	4	:	:	PUNCT
ijassa-1370	283	5	a	a	DET
ijassa-1370	283	6	complete	complete	ADJ
ijassa-1370	283	7	course	course	NOUN
ijassa-1370	283	8	,	,	PUNCT
ijassa-1370	283	9	2nd	2nd	PROPN
ijassa-1370	283	10	edition	edition	NOUN
ijassa-1370	283	11	]	]	PUNCT
ijassa-1370	283	12	.	.	PUNCT
ijassa-1370	284	1	moscow	moscow	PROPN
ijassa-1370	284	2	,	,	PUNCT
ijassa-1370	284	3	russia	russia	PROPN
ijassa-1370	284	4	:	:	PUNCT
ijassa-1370	284	5	i.d	i.d	PROPN
ijassa-1370	284	6	.	.	PROPN
ijassa-1370	284	7	williams	williams	PROPN
ijassa-1370	284	8	,	,	PUNCT
ijassa-1370	285	1	[	[	X
ijassa-1370	285	2	in	in	ADP
ijassa-1370	285	3	russian	russian	NOUN
ijassa-1370	285	4	]	]	PUNCT
ijassa-1370	285	5	.	.	PUNCT