id	sid	tid	token	lemma	pos
ajst-29854	1	1	academic	academic	ADJ
ajst-29854	1	2	journal	journal	NOUN
ajst-29854	1	3	of	of	ADP
ajst-29854	1	4	science	science	NOUN
ajst-29854	1	5	and	and	CCONJ
ajst-29854	1	6	technology	technology	NOUN
ajst-29854	1	7	issn	issn	NOUN
ajst-29854	1	8	:	:	PUNCT
ajst-29854	1	9	2771	2771	NUM
ajst-29854	1	10	-	-	SYM
ajst-29854	1	11	3032	3032	NUM
ajst-29854	1	12	|	|	NOUN
ajst-29854	1	13	vol	vol	NOUN
ajst-29854	1	14	.	.	PUNCT
ajst-29854	2	1	14	14	NUM
ajst-29854	2	2	,	,	PUNCT
ajst-29854	2	3	no	no	INTJ
ajst-29854	2	4	.	.	NOUN
ajst-29854	2	5	2	2	NUM
ajst-29854	2	6	,	,	PUNCT
ajst-29854	2	7	2025	2025	NUM
ajst-29854	2	8	43	43	NUM
ajst-29854	2	9	research	research	NOUN
ajst-29854	2	10	on	on	ADP
ajst-29854	2	11	adaptive	adaptive	ADJ
ajst-29854	2	12	regional	regional	ADJ
ajst-29854	2	13	classification	classification	NOUN
ajst-29854	2	14	and	and	CCONJ
ajst-29854	2	15	prediction	prediction	NOUN
ajst-29854	2	16	for	for	ADP
ajst-29854	2	17	underwater	underwater	ADJ
ajst-29854	2	18	navigation	navigation	NOUN
ajst-29854	2	19	based	base	VERB
ajst-29854	2	20	on	on	ADP
ajst-29854	2	21	genetic	genetic	ADJ
ajst-29854	2	22	algorithm	algorithm	NOUN
ajst-29854	2	23	and	and	CCONJ
ajst-29854	2	24	support	support	NOUN
ajst-29854	2	25	vector	vector	NOUN
ajst-29854	2	26	machine	machine	NOUN
ajst-29854	2	27	model	model	PROPN
ajst-29854	2	28	wenjie	wenjie	PROPN
ajst-29854	2	29	zhang1	zhang1	PROPN
ajst-29854	2	30	,	,	PUNCT
ajst-29854	2	31	a	a	DET
ajst-29854	2	32	1school	1school	NUM
ajst-29854	2	33	of	of	ADP
ajst-29854	2	34	surveying	surveying	NOUN
ajst-29854	2	35	and	and	CCONJ
ajst-29854	2	36	land	land	NOUN
ajst-29854	2	37	information	information	NOUN
ajst-29854	2	38	engineering	engineering	PROPN
ajst-29854	2	39	,	,	PUNCT
ajst-29854	2	40	henan	henan	PROPN
ajst-29854	2	41	polytechnic	polytechnic	PROPN
ajst-29854	2	42	university	university	PROPN
ajst-29854	2	43	,	,	PUNCT
ajst-29854	2	44	jiaozuo	jiaozuo	PROPN
ajst-29854	2	45	454003	454003	NUM
ajst-29854	2	46	,	,	PUNCT
ajst-29854	2	47	china	china	PROPN
ajst-29854	2	48	a1723980263@qq.com	a1723980263@qq.com	PROPN
ajst-29854	2	49	abstract	abstract	PROPN
ajst-29854	2	50	:	:	PUNCT
ajst-29854	2	51	this	this	DET
ajst-29854	2	52	paper	paper	NOUN
ajst-29854	2	53	primarily	primarily	ADV
ajst-29854	2	54	investigates	investigate	VERB
ajst-29854	2	55	the	the	DET
ajst-29854	2	56	selection	selection	NOUN
ajst-29854	2	57	of	of	ADP
ajst-29854	2	58	matching	match	VERB
ajst-29854	2	59	regions	region	NOUN
ajst-29854	2	60	in	in	ADP
ajst-29854	2	61	a	a	DET
ajst-29854	2	62	gravity	gravity	NOUN
ajst-29854	2	63	matching	matching	NOUN
ajst-29854	2	64	navigation	navigation	NOUN
ajst-29854	2	65	system	system	NOUN
ajst-29854	2	66	for	for	ADP
ajst-29854	2	67	submersibles	submersible	NOUN
ajst-29854	2	68	.	.	PUNCT
ajst-29854	3	1	when	when	SCONJ
ajst-29854	3	2	employing	employ	VERB
ajst-29854	3	3	support	support	NOUN
ajst-29854	3	4	vector	vector	NOUN
ajst-29854	3	5	machines	machine	NOUN
ajst-29854	3	6	(	(	PUNCT
ajst-29854	3	7	svm	svm	PROPN
ajst-29854	3	8	)	)	PUNCT
ajst-29854	3	9	for	for	ADP
ajst-29854	3	10	adaptive	adaptive	ADJ
ajst-29854	3	11	region	region	NOUN
ajst-29854	3	12	classification	classification	NOUN
ajst-29854	3	13	,	,	PUNCT
ajst-29854	3	14	traditional	traditional	ADJ
ajst-29854	3	15	svms	svms	NOUN
ajst-29854	3	16	necessitate	necessitate	ADJ
ajst-29854	3	17	manual	manual	ADJ
ajst-29854	3	18	adjustment	adjustment	NOUN
ajst-29854	3	19	of	of	ADP
ajst-29854	3	20	hyperparameters	hyperparameter	NOUN
ajst-29854	3	21	according	accord	VERB
ajst-29854	3	22	to	to	ADP
ajst-29854	3	23	different	different	ADJ
ajst-29854	3	24	scenarios	scenario	NOUN
ajst-29854	3	25	.	.	PUNCT
ajst-29854	4	1	to	to	PART
ajst-29854	4	2	address	address	VERB
ajst-29854	4	3	this	this	DET
ajst-29854	4	4	limitation	limitation	NOUN
ajst-29854	4	5	,	,	PUNCT
ajst-29854	4	6	our	our	PRON
ajst-29854	4	7	work	work	NOUN
ajst-29854	4	8	integrates	integrate	VERB
ajst-29854	4	9	genetic	genetic	ADJ
ajst-29854	4	10	algorithm	algorithm	NOUN
ajst-29854	4	11	(	(	PUNCT
ajst-29854	4	12	ga	ga	PROPN
ajst-29854	4	13	)	)	PUNCT
ajst-29854	4	14	with	with	ADP
ajst-29854	4	15	svm	svm	PROPN
ajst-29854	4	16	for	for	ADP
ajst-29854	4	17	the	the	DET
ajst-29854	4	18	selection	selection	NOUN
ajst-29854	4	19	of	of	ADP
ajst-29854	4	20	suitable	suitable	ADJ
ajst-29854	4	21	matching	matching	ADJ
ajst-29854	4	22	regions	region	NOUN
ajst-29854	4	23	in	in	ADP
ajst-29854	4	24	underwater	underwater	ADJ
ajst-29854	4	25	gravity	gravity	NOUN
ajst-29854	4	26	-	-	PUNCT
ajst-29854	4	27	assisted	assist	VERB
ajst-29854	4	28	navigation	navigation	NOUN
ajst-29854	4	29	.	.	PUNCT
ajst-29854	5	1	the	the	DET
ajst-29854	5	2	experimental	experimental	ADJ
ajst-29854	5	3	results	result	NOUN
ajst-29854	5	4	demonstrate	demonstrate	VERB
ajst-29854	5	5	that	that	SCONJ
ajst-29854	5	6	this	this	DET
ajst-29854	5	7	approach	approach	NOUN
ajst-29854	5	8	can	can	AUX
ajst-29854	5	9	provide	provide	VERB
ajst-29854	5	10	valuable	valuable	ADJ
ajst-29854	5	11	references	reference	NOUN
ajst-29854	5	12	for	for	ADP
ajst-29854	5	13	the	the	DET
ajst-29854	5	14	division	division	NOUN
ajst-29854	5	15	of	of	ADP
ajst-29854	5	16	adaptive	adaptive	ADJ
ajst-29854	5	17	regions	region	NOUN
ajst-29854	5	18	and	and	CCONJ
ajst-29854	5	19	the	the	DET
ajst-29854	5	20	design	design	NOUN
ajst-29854	5	21	of	of	ADP
ajst-29854	5	22	navigation	navigation	NOUN
ajst-29854	5	23	routes	route	NOUN
ajst-29854	5	24	for	for	ADP
ajst-29854	5	25	underwater	underwater	ADJ
ajst-29854	5	26	vehicles	vehicle	NOUN
ajst-29854	5	27	.	.	PUNCT
ajst-29854	6	1	keywords	keyword	NOUN
ajst-29854	6	2	:	:	PUNCT
ajst-29854	6	3	gravity	gravity	NOUN
ajst-29854	6	4	matching	matching	NOUN
ajst-29854	6	5	navigation	navigation	NOUN
ajst-29854	6	6	,	,	PUNCT
ajst-29854	6	7	support	support	VERB
ajst-29854	6	8	vector	vector	NOUN
ajst-29854	6	9	machine	machine	NOUN
ajst-29854	6	10	,	,	PUNCT
ajst-29854	6	11	suitable	suitable	ADJ
ajst-29854	6	12	area	area	NOUN
ajst-29854	6	13	.	.	PUNCT
ajst-29854	7	1	1	1	X
ajst-29854	7	2	.	.	X
ajst-29854	7	3	introduction	introduction	NOUN
ajst-29854	7	4	as	as	ADP
ajst-29854	7	5	global	global	ADJ
ajst-29854	7	6	attention	attention	NOUN
ajst-29854	7	7	on	on	ADP
ajst-29854	7	8	the	the	DET
ajst-29854	7	9	development	development	NOUN
ajst-29854	7	10	and	and	CCONJ
ajst-29854	7	11	utilization	utilization	NOUN
ajst-29854	7	12	of	of	ADP
ajst-29854	7	13	marine	marine	ADJ
ajst-29854	7	14	resources	resource	NOUN
ajst-29854	7	15	grows	grow	VERB
ajst-29854	7	16	,	,	PUNCT
ajst-29854	7	17	the	the	DET
ajst-29854	7	18	navigation	navigation	NOUN
ajst-29854	7	19	and	and	CCONJ
ajst-29854	7	20	positioning	positioning	NOUN
ajst-29854	7	21	capabilities	capability	NOUN
ajst-29854	7	22	of	of	ADP
ajst-29854	7	23	underwater	underwater	ADJ
ajst-29854	7	24	vehicles	vehicle	NOUN
ajst-29854	7	25	have	have	AUX
ajst-29854	7	26	emerged	emerge	VERB
ajst-29854	7	27	as	as	ADP
ajst-29854	7	28	a	a	DET
ajst-29854	7	29	critical	critical	ADJ
ajst-29854	7	30	area	area	NOUN
ajst-29854	7	31	of	of	ADP
ajst-29854	7	32	scientific	scientific	ADJ
ajst-29854	7	33	inquiry[1	inquiry[1	NOUN
ajst-29854	7	34	]	]	PUNCT
ajst-29854	7	35	.	.	PUNCT
ajst-29854	8	1	these	these	DET
ajst-29854	8	2	vehicles	vehicle	NOUN
ajst-29854	8	3	primarily	primarily	ADV
ajst-29854	8	4	rely	rely	VERB
ajst-29854	8	5	on	on	ADP
ajst-29854	8	6	inertial	inertial	ADJ
ajst-29854	8	7	navigation	navigation	NOUN
ajst-29854	8	8	systems	system	NOUN
ajst-29854	8	9	(	(	PUNCT
ajst-29854	8	10	ins	ins	PROPN
ajst-29854	8	11	)	)	PUNCT
ajst-29854	8	12	,	,	PUNCT
ajst-29854	8	13	which	which	PRON
ajst-29854	8	14	are	be	AUX
ajst-29854	8	15	self	self	NOUN
ajst-29854	8	16	-	-	PUNCT
ajst-29854	8	17	contained	contain	VERB
ajst-29854	8	18	,	,	PUNCT
ajst-29854	8	19	stealthy	stealthy	ADJ
ajst-29854	8	20	,	,	PUNCT
ajst-29854	8	21	and	and	CCONJ
ajst-29854	8	22	offer	offer	VERB
ajst-29854	8	23	high	high	ADJ
ajst-29854	8	24	short	short	ADJ
ajst-29854	8	25	-	-	PUNCT
ajst-29854	8	26	term	term	NOUN
ajst-29854	8	27	accuracy	accuracy	NOUN
ajst-29854	8	28	.	.	PUNCT
ajst-29854	9	1	despite	despite	SCONJ
ajst-29854	9	2	these	these	DET
ajst-29854	9	3	advantages	advantage	NOUN
ajst-29854	9	4	,	,	PUNCT
ajst-29854	9	5	ins	in	NOUN
ajst-29854	9	6	suffers	suffer	VERB
ajst-29854	9	7	from	from	ADP
ajst-29854	9	8	errors	error	NOUN
ajst-29854	9	9	accumulating	accumulate	VERB
ajst-29854	9	10	over	over	ADP
ajst-29854	9	11	time	time	NOUN
ajst-29854	9	12	due	due	ADP
ajst-29854	9	13	to	to	ADP
ajst-29854	9	14	factors	factor	NOUN
ajst-29854	9	15	like	like	ADP
ajst-29854	9	16	gyro	gyro	NOUN
ajst-29854	9	17	drift	drift	NOUN
ajst-29854	9	18	and	and	CCONJ
ajst-29854	9	19	accelerometer	accelerometer	NOUN
ajst-29854	9	20	bias	bias	NOUN
ajst-29854	9	21	,	,	PUNCT
ajst-29854	9	22	making	make	VERB
ajst-29854	9	23	long	long	ADJ
ajst-29854	9	24	-	-	PUNCT
ajst-29854	9	25	term	term	NOUN
ajst-29854	9	26	mission	mission	NOUN
ajst-29854	9	27	accuracy	accuracy	NOUN
ajst-29854	9	28	challenging	challenge	VERB
ajst-29854	9	29	without	without	ADP
ajst-29854	9	30	external	external	ADJ
ajst-29854	9	31	corrections	correction	NOUN
ajst-29854	9	32	[	[	X
ajst-29854	9	33	2].the	2].the	NUM
ajst-29854	9	34	stable	stable	ADJ
ajst-29854	9	35	and	and	CCONJ
ajst-29854	9	36	well	well	ADV
ajst-29854	9	37	-	-	PUNCT
ajst-29854	9	38	distributed	distribute	VERB
ajst-29854	9	39	temporalspatial	temporalspatial	ADJ
ajst-29854	9	40	characteristics	characteristic	NOUN
ajst-29854	9	41	of	of	ADP
ajst-29854	9	42	marine	marine	ADJ
ajst-29854	9	43	gravity	gravity	NOUN
ajst-29854	9	44	fields	field	NOUN
ajst-29854	9	45	present	present	VERB
ajst-29854	9	46	an	an	DET
ajst-29854	9	47	effective	effective	ADJ
ajst-29854	9	48	solution	solution	NOUN
ajst-29854	9	49	for	for	ADP
ajst-29854	9	50	correcting	correct	VERB
ajst-29854	9	51	these	these	DET
ajst-29854	9	52	ins	in	NOUN
ajst-29854	9	53	inaccuracies[3	inaccuracies[3	PROPN
ajst-29854	9	54	]	]	X
ajst-29854	9	55	.	.	PUNCT
ajst-29854	10	1	by	by	ADP
ajst-29854	10	2	utilizing	utilize	VERB
ajst-29854	10	3	onboard	onboard	ADP
ajst-29854	10	4	gravity	gravity	NOUN
ajst-29854	10	5	sensors	sensor	NOUN
ajst-29854	10	6	,	,	PUNCT
ajst-29854	10	7	underwater	underwater	ADJ
ajst-29854	10	8	vehicles	vehicle	NOUN
ajst-29854	10	9	can	can	AUX
ajst-29854	10	10	gather	gather	VERB
ajst-29854	10	11	gravity	gravity	NOUN
ajst-29854	10	12	field	field	NOUN
ajst-29854	10	13	data	datum	NOUN
ajst-29854	10	14	during	during	ADP
ajst-29854	10	15	their	their	PRON
ajst-29854	10	16	journey	journey	NOUN
ajst-29854	10	17	.	.	PUNCT
ajst-29854	11	1	this	this	DET
ajst-29854	11	2	data	data	NOUN
ajst-29854	11	3	is	be	AUX
ajst-29854	11	4	then	then	ADV
ajst-29854	11	5	compared	compare	VERB
ajst-29854	11	6	against	against	ADP
ajst-29854	11	7	a	a	DET
ajst-29854	11	8	preloaded	preloade	VERB
ajst-29854	11	9	reference	reference	NOUN
ajst-29854	11	10	map	map	NOUN
ajst-29854	11	11	database	database	NOUN
ajst-29854	11	12	,	,	PUNCT
ajst-29854	11	13	enabling	enable	VERB
ajst-29854	11	14	the	the	DET
ajst-29854	11	15	identification	identification	NOUN
ajst-29854	11	16	of	of	ADP
ajst-29854	11	17	the	the	DET
ajst-29854	11	18	most	most	ADV
ajst-29854	11	19	accurate	accurate	ADJ
ajst-29854	11	20	matching	matching	NOUN
ajst-29854	11	21	position	position	NOUN
ajst-29854	11	22	through	through	ADP
ajst-29854	11	23	specialized	specialized	ADJ
ajst-29854	11	24	algorithms	algorithm	NOUN
ajst-29854	11	25	.	.	PUNCT
ajst-29854	12	1	the	the	DET
ajst-29854	12	2	correction	correction	NOUN
ajst-29854	12	3	of	of	ADP
ajst-29854	12	4	inertial	inertial	ADJ
ajst-29854	12	5	navigation	navigation	NOUN
ajst-29854	12	6	errors	error	NOUN
ajst-29854	12	7	using	use	VERB
ajst-29854	12	8	earth	earth	NOUN
ajst-29854	12	9	's	's	PART
ajst-29854	12	10	gravity	gravity	NOUN
ajst-29854	12	11	field	field	NOUN
ajst-29854	12	12	not	not	PART
ajst-29854	12	13	only	only	ADV
ajst-29854	12	14	enhances	enhance	VERB
ajst-29854	12	15	navigation	navigation	NOUN
ajst-29854	12	16	precision	precision	NOUN
ajst-29854	12	17	but	but	CCONJ
ajst-29854	12	18	also	also	ADV
ajst-29854	12	19	opens	open	VERB
ajst-29854	12	20	new	new	ADJ
ajst-29854	12	21	avenues	avenue	NOUN
ajst-29854	12	22	in	in	ADP
ajst-29854	12	23	the	the	DET
ajst-29854	12	24	autonomous	autonomous	ADJ
ajst-29854	12	25	navigation	navigation	NOUN
ajst-29854	12	26	of	of	ADP
ajst-29854	12	27	underwater	underwater	ADJ
ajst-29854	12	28	vehicles	vehicle	NOUN
ajst-29854	12	29	.	.	PUNCT
ajst-29854	13	1	this	this	DET
ajst-29854	13	2	method	method	NOUN
ajst-29854	13	3	represents	represent	VERB
ajst-29854	13	4	a	a	DET
ajst-29854	13	5	promising	promising	ADJ
ajst-29854	13	6	research	research	NOUN
ajst-29854	13	7	trend	trend	NOUN
ajst-29854	13	8	,	,	PUNCT
ajst-29854	13	9	aiming	aim	VERB
ajst-29854	13	10	to	to	ADP
ajst-29854	13	11	leverage	leverage	NOUN
ajst-29854	13	12	natural	natural	ADJ
ajst-29854	13	13	environmental	environmental	ADJ
ajst-29854	13	14	features	feature	NOUN
ajst-29854	13	15	for	for	ADP
ajst-29854	13	16	improved	improved	ADJ
ajst-29854	13	17	underwater	underwater	ADJ
ajst-29854	13	18	navigation	navigation	NOUN
ajst-29854	13	19	reliability	reliability	NOUN
ajst-29854	13	20	and	and	CCONJ
ajst-29854	13	21	efficiency	efficiency	NOUN
ajst-29854	13	22	.this	.this	PRON
ajst-29854	13	23	approach	approach	NOUN
ajst-29854	13	24	underscores	underscore	VERB
ajst-29854	13	25	the	the	DET
ajst-29854	13	26	potential	potential	NOUN
ajst-29854	13	27	for	for	ADP
ajst-29854	13	28	integrating	integrate	VERB
ajst-29854	13	29	environmental	environmental	ADJ
ajst-29854	13	30	mapping	mapping	NOUN
ajst-29854	13	31	with	with	ADP
ajst-29854	13	32	traditional	traditional	ADJ
ajst-29854	13	33	navigation	navigation	NOUN
ajst-29854	13	34	systems	system	NOUN
ajst-29854	13	35	to	to	PART
ajst-29854	13	36	achieve	achieve	VERB
ajst-29854	13	37	more	more	ADV
ajst-29854	13	38	reliable	reliable	ADJ
ajst-29854	13	39	long	long	ADJ
ajst-29854	13	40	-	-	PUNCT
ajst-29854	13	41	duration	duration	NOUN
ajst-29854	13	42	underwater	underwater	NOUN
ajst-29854	13	43	missions[4	missions[4	PROPN
ajst-29854	13	44	]	]	PUNCT
ajst-29854	13	45	.	.	PUNCT
ajst-29854	14	1	2	2	X
ajst-29854	14	2	.	.	X
ajst-29854	14	3	constructing	construct	VERB
ajst-29854	14	4	a	a	DET
ajst-29854	14	5	support	support	NOUN
ajst-29854	14	6	vector	vector	NOUN
ajst-29854	14	7	machine	machine	NOUN
ajst-29854	14	8	classifier	classifier	NOUN
ajst-29854	14	9	2.1	2.1	NUM
ajst-29854	14	10	.	.	PUNCT
ajst-29854	15	1	gravity	gravity	NOUN
ajst-29854	15	2	field	field	NOUN
ajst-29854	15	3	characteristic	characteristic	ADJ
ajst-29854	15	4	parameters	parameter	NOUN
ajst-29854	15	5	gravity	gravity	NOUN
ajst-29854	15	6	field	field	NOUN
ajst-29854	15	7	characteristics	characteristic	NOUN
ajst-29854	15	8	can	can	AUX
ajst-29854	15	9	be	be	AUX
ajst-29854	15	10	described	describe	VERB
ajst-29854	15	11	from	from	ADP
ajst-29854	15	12	various	various	ADJ
ajst-29854	15	13	aspects	aspect	NOUN
ajst-29854	15	14	such	such	ADJ
ajst-29854	15	15	as	as	ADP
ajst-29854	15	16	statistics	statistic	NOUN
ajst-29854	15	17	,	,	PUNCT
ajst-29854	15	18	correlation	correlation	NOUN
ajst-29854	15	19	,	,	PUNCT
ajst-29854	15	20	and	and	CCONJ
ajst-29854	15	21	frequency	frequency	NOUN
ajst-29854	15	22	[	[	X
ajst-29854	15	23	5	5	NUM
ajst-29854	15	24	]	]	PUNCT
ajst-29854	15	25	.	.	PUNCT
ajst-29854	16	1	(	(	PUNCT
ajst-29854	16	2	1	1	X
ajst-29854	16	3	)	)	PUNCT
ajst-29854	16	4	standard	standard	ADJ
ajst-29854	16	5	deviation	deviation	NOUN
ajst-29854	16	6	of	of	ADP
ajst-29854	16	7	gravity	gravity	NOUN
ajst-29854	16	8	anomalies	anomaly	NOUN
ajst-29854	16	9	,	,	PUNCT
ajst-29854	16	10	the	the	DET
ajst-29854	16	11	calculation	calculation	NOUN
ajst-29854	16	12	formula	formula	NOUN
ajst-29854	16	13	is	be	AUX
ajst-29854	16	14	as	as	SCONJ
ajst-29854	16	15	follows	follow	VERB
ajst-29854	16	16	:	:	PUNCT
ajst-29854	16	17	2	2	NUM
ajst-29854	16	18	1	1	NUM
ajst-29854	16	19	1	1	NUM
ajst-29854	16	20	1	1	NUM
ajst-29854	16	21	[	[	PUNCT
ajst-29854	16	22	(	(	PUNCT
ajst-29854	16	23	,	,	PUNCT
ajst-29854	16	24	)	)	PUNCT
ajst-29854	16	25	]	]	PUNCT
ajst-29854	16	26	1	1	NUM
ajst-29854	16	27	m	m	VERB
ajst-29854	16	28	n	n	VERB
ajst-29854	17	1	i	i	PRON
ajst-29854	18	1	j	j	NOUN
ajst-29854	19	1	g	g	NOUN
ajst-29854	19	2	i	i	PRON
ajst-29854	20	1	j	j	PROPN
ajst-29854	20	2	g	g	PROPN
ajst-29854	20	3	mn	mn	PROPN
ajst-29854	20	4			PROPN
ajst-29854	21	1			NUM
ajst-29854	21	2			NUM
ajst-29854	21	3			PROPN
ajst-29854	21	4			PROPN
ajst-29854	21	5			PROPN
ajst-29854	21	6			PRON
ajst-29854	21	7	(	(	PUNCT
ajst-29854	21	8	1	1	X
ajst-29854	21	9	)	)	PUNCT
ajst-29854	21	10	where	where	SCONJ
ajst-29854	21	11	1	1	NUM
ajst-29854	21	12	1	1	NUM
ajst-29854	21	13	1	1	NUM
ajst-29854	21	14	(	(	PUNCT
ajst-29854	21	15	,	,	PUNCT
ajst-29854	21	16	)	)	PUNCT
ajst-29854	21	17	m	m	VERB
ajst-29854	21	18	n	n	VERB
ajst-29854	21	19	i	i	PRON
ajst-29854	21	20	j	j	NOUN
ajst-29854	22	1	g	g	PROPN
ajst-29854	22	2	g	g	PROPN
ajst-29854	23	1	i	i	PRON
ajst-29854	23	2	j	j	PROPN
ajst-29854	24	1	mn	mn	PROPN
ajst-29854	25	1			PROPN
ajst-29854	26	1			NUM
ajst-29854	27	1			NOUN
ajst-29854	27	2			ADV
ajst-29854	27	3	is	be	AUX
ajst-29854	27	4	mean	mean	ADJ
ajst-29854	27	5	gravity	gravity	NOUN
ajst-29854	27	6	anomaly	anomaly	NOUN
ajst-29854	27	7	,	,	PUNCT
ajst-29854	27	8	(	(	PUNCT
ajst-29854	27	9	,	,	PUNCT
ajst-29854	27	10	)	)	PUNCT
ajst-29854	27	11	g	g	NOUN
ajst-29854	28	1	i	i	PRON
ajst-29854	28	2	j	j	PROPN
ajst-29854	28	3	is	be	AUX
ajst-29854	28	4	the	the	DET
ajst-29854	28	5	value	value	NOUN
ajst-29854	28	6	at	at	ADP
ajst-29854	28	7	position	position	NOUN
ajst-29854	28	8	(	(	PUNCT
ajst-29854	28	9	,	,	PUNCT
ajst-29854	28	10	)	)	PUNCT
ajst-29854	29	1	i	i	PRON
ajst-29854	29	2	j	j	PROPN
ajst-29854	29	3	in	in	ADP
ajst-29854	29	4	the	the	DET
ajst-29854	29	5	gravity	gravity	NOUN
ajst-29854	29	6	anomaly	anomaly	NOUN
ajst-29854	29	7	map	map	NOUN
ajst-29854	29	8	.	.	PUNCT
ajst-29854	30	1	(	(	PUNCT
ajst-29854	30	2	2	2	X
ajst-29854	30	3	)	)	PUNCT
ajst-29854	30	4	standard	standard	ADJ
ajst-29854	30	5	deviation	deviation	NOUN
ajst-29854	30	6	of	of	ADP
ajst-29854	30	7	slope	slope	NOUN
ajst-29854	30	8	,	,	PUNCT
ajst-29854	30	9	the	the	DET
ajst-29854	30	10	calculation	calculation	NOUN
ajst-29854	30	11	formula	formula	NOUN
ajst-29854	30	12	is	be	AUX
ajst-29854	30	13	as	as	SCONJ
ajst-29854	30	14	follows	follow	VERB
ajst-29854	30	15	:	:	PUNCT
ajst-29854	30	16	2	2	NUM
ajst-29854	30	17	1	1	NUM
ajst-29854	30	18	1	1	NUM
ajst-29854	30	19	1	1	NUM
ajst-29854	30	20	[	[	PUNCT
ajst-29854	30	21	(	(	PUNCT
ajst-29854	30	22	,	,	PUNCT
ajst-29854	30	23	)	)	PUNCT
ajst-29854	30	24	]	]	PUNCT
ajst-29854	31	1	1	1	NUM
ajst-29854	31	2	m	m	VERB
ajst-29854	31	3	n	n	ADP
ajst-29854	31	4	s	s	NOUN
ajst-29854	32	1	i	i	PRON
ajst-29854	32	2	j	j	PROPN
ajst-29854	33	1	s	s	VERB
ajst-29854	33	2	i	i	INTJ
ajst-29854	34	1	j	j	PROPN
ajst-29854	34	2	s	s	PROPN
ajst-29854	34	3	mn	mn	PROPN
ajst-29854	34	4			PROPN
ajst-29854	34	5			NUM
ajst-29854	34	6			NUM
ajst-29854	34	7			PROPN
ajst-29854	34	8			PROPN
ajst-29854	34	9			PROPN
ajst-29854	34	10			PRON
ajst-29854	34	11	(	(	PUNCT
ajst-29854	34	12	2	2	NUM
ajst-29854	34	13	)	)	PUNCT
ajst-29854	34	14	where	where	SCONJ
ajst-29854	34	15	1	1	NUM
ajst-29854	34	16	1	1	NUM
ajst-29854	34	17	1	1	NUM
ajst-29854	34	18	(	(	PUNCT
ajst-29854	34	19	,	,	PUNCT
ajst-29854	34	20	)	)	PUNCT
ajst-29854	34	21	m	m	VERB
ajst-29854	34	22	n	n	VERB
ajst-29854	35	1	i	i	PRON
ajst-29854	35	2	j	j	PROPN
ajst-29854	36	1	s	s	X
ajst-29854	36	2	s	s	X
ajst-29854	36	3	i	i	PRON
ajst-29854	36	4	j	j	PROPN
ajst-29854	37	1	mn	mn	PROPN
ajst-29854	38	1			PROPN
ajst-29854	39	1			NUM
ajst-29854	40	1			ADV
ajst-29854	41	1			ADV
ajst-29854	41	2	,	,	PUNCT
ajst-29854	41	3	arctan	arctan	PROPN
ajst-29854	41	4	(	(	PUNCT
ajst-29854	41	5	)	)	PUNCT
ajst-29854	41	6	s	s	PART
ajst-29854	41	7	s	s	X
ajst-29854	41	8	s	s	PROPN
ajst-29854	41	9			PROPN
ajst-29854	41	10			ADV
ajst-29854	41	11	,	,	PUNCT
ajst-29854	41	12	1	1	NUM
ajst-29854	41	13	[	[	PUNCT
ajst-29854	41	14	(	(	PUNCT
ajst-29854	41	15	,	,	PUNCT
ajst-29854	41	16	1	1	X
ajst-29854	41	17	)	)	PUNCT
ajst-29854	41	18	(	(	PUNCT
ajst-29854	41	19	1	1	NUM
ajst-29854	41	20	,	,	PUNCT
ajst-29854	41	21	1	1	NUM
ajst-29854	41	22	)	)	PUNCT
ajst-29854	41	23	(	(	PUNCT
ajst-29854	41	24	,	,	PUNCT
ajst-29854	41	25	)	)	PUNCT
ajst-29854	41	26	(	(	PUNCT
ajst-29854	41	27	1	1	NUM
ajst-29854	41	28	,	,	PUNCT
ajst-29854	41	29	)	)	PUNCT
ajst-29854	41	30	]	]	PUNCT
ajst-29854	42	1	2	2	NUM
ajst-29854	42	2	*	*	SYM
ajst-29854	42	3	s	s	PART
ajst-29854	42	4	g	g	NOUN
ajst-29854	43	1	i	i	PRON
ajst-29854	43	2	j	j	PROPN
ajst-29854	44	1	g	g	NOUN
ajst-29854	44	2	i	i	PRON
ajst-29854	45	1	j	j	PROPN
ajst-29854	46	1	g	g	NOUN
ajst-29854	46	2	i	i	PRON
ajst-29854	47	1	j	j	PROPN
ajst-29854	48	1	g	g	PROPN
ajst-29854	48	2	i	i	PROPN
ajst-29854	48	3	j	j	PROPN
ajst-29854	48	4	scgrid	scgrid	VERB
ajst-29854	48	5			PROPN
ajst-29854	48	6			PROPN
ajst-29854	48	7			PUNCT
ajst-29854	48	8			PUNCT
ajst-29854	48	9			PUNCT
ajst-29854	48	10			PROPN
ajst-29854	48	11			PROPN
ajst-29854	48	12			ADV
ajst-29854	48	13	,	,	PUNCT
ajst-29854	48	14	1	1	NUM
ajst-29854	48	15	[	[	PUNCT
ajst-29854	48	16	(	(	PUNCT
ajst-29854	48	17	1	1	NUM
ajst-29854	48	18	,	,	PUNCT
ajst-29854	48	19	)	)	PUNCT
ajst-29854	48	20	(	(	PUNCT
ajst-29854	48	21	1	1	NUM
ajst-29854	48	22	,	,	PUNCT
ajst-29854	48	23	1	1	NUM
ajst-29854	48	24	)	)	PUNCT
ajst-29854	48	25	(	(	PUNCT
ajst-29854	48	26	,	,	PUNCT
ajst-29854	48	27	)	)	PUNCT
ajst-29854	48	28	(	(	PUNCT
ajst-29854	48	29	,	,	PUNCT
ajst-29854	48	30	1	1	NUM
ajst-29854	48	31	)	)	PUNCT
ajst-29854	48	32	]	]	PUNCT
ajst-29854	49	1	2	2	NUM
ajst-29854	49	2	*	*	SYM
ajst-29854	49	3	s	s	PART
ajst-29854	49	4	g	g	NOUN
ajst-29854	50	1	i	i	PRON
ajst-29854	50	2	j	j	PROPN
ajst-29854	51	1	g	g	NOUN
ajst-29854	51	2	i	i	PRON
ajst-29854	52	1	j	j	PROPN
ajst-29854	53	1	g	g	NOUN
ajst-29854	53	2	i	i	PRON
ajst-29854	54	1	j	j	PROPN
ajst-29854	55	1	g	g	NOUN
ajst-29854	55	2	i	i	PRON
ajst-29854	55	3	j	j	PROPN
ajst-29854	56	1	scgrid	scgrid	PROPN
ajst-29854	56	2			PROPN
ajst-29854	56	3			PROPN
ajst-29854	56	4			PUNCT
ajst-29854	56	5			PUNCT
ajst-29854	56	6			PUNCT
ajst-29854	56	7			PROPN
ajst-29854	56	8			PROPN
ajst-29854	56	9			PUNCT
ajst-29854	56	10	.	.	PUNCT
ajst-29854	57	1	(	(	PUNCT
ajst-29854	57	2	3	3	X
ajst-29854	57	3	)	)	PUNCT
ajst-29854	57	4	roughness	roughness	NOUN
ajst-29854	57	5	,	,	PUNCT
ajst-29854	57	6	the	the	DET
ajst-29854	57	7	calculation	calculation	NOUN
ajst-29854	57	8	formula	formula	NOUN
ajst-29854	57	9	is	be	AUX
ajst-29854	57	10	as	as	SCONJ
ajst-29854	57	11	follows	follow	VERB
ajst-29854	57	12	:	:	PUNCT
ajst-29854	57	13	(	(	PUNCT
ajst-29854	57	14	)	)	PUNCT
ajst-29854	57	15	/	/	SYM
ajst-29854	57	16	2r	2r	NUM
ajst-29854	57	17	r	r	X
ajst-29854	57	18	r	r	NUM
ajst-29854	57	19			ADJ
ajst-29854	57	20			PUNCT
ajst-29854	57	21	(	(	PUNCT
ajst-29854	57	22	3	3	X
ajst-29854	57	23	)	)	PUNCT
ajst-29854	57	24	where	where	SCONJ
ajst-29854	57	25	1	1	NUM
ajst-29854	57	26	1	1	NUM
ajst-29854	57	27	1	1	NUM
ajst-29854	57	28	1	1	NUM
ajst-29854	57	29	(	(	PUNCT
ajst-29854	57	30	,	,	PUNCT
ajst-29854	57	31	)	)	PUNCT
ajst-29854	57	32	(	(	PUNCT
ajst-29854	57	33	1	1	NUM
ajst-29854	57	34	,	,	PUNCT
ajst-29854	57	35	)	)	PUNCT
ajst-29854	57	36	(	(	PUNCT
ajst-29854	57	37	1	1	X
ajst-29854	57	38	)	)	PUNCT
ajst-29854	57	39	m	m	VERB
ajst-29854	57	40	n	n	ADV
ajst-29854	58	1	i	i	PRON
ajst-29854	58	2	j	j	NOUN
ajst-29854	59	1	r	r	NOUN
ajst-29854	59	2	g	g	PROPN
ajst-29854	59	3	i	i	PRON
ajst-29854	60	1	j	j	PROPN
ajst-29854	61	1	g	g	NOUN
ajst-29854	62	1	i	i	PRON
ajst-29854	62	2	j	j	PROPN
ajst-29854	62	3	n	n	CCONJ
ajst-29854	62	4	m	m	PROPN
ajst-29854	62	5			PROPN
ajst-29854	62	6			PROPN
ajst-29854	62	7			NUM
ajst-29854	62	8			PROPN
ajst-29854	62	9			PROPN
ajst-29854	62	10			VERB
ajst-29854	62	11			PROPN
ajst-29854	62	12			ADV
ajst-29854	62	13	,	,	PUNCT
ajst-29854	62	14	1	1	NUM
ajst-29854	62	15	1	1	NUM
ajst-29854	62	16	1	1	NUM
ajst-29854	62	17	1	1	NUM
ajst-29854	62	18	(	(	PUNCT
ajst-29854	62	19	,	,	PUNCT
ajst-29854	62	20	)	)	PUNCT
ajst-29854	62	21	(	(	PUNCT
ajst-29854	62	22	,	,	PUNCT
ajst-29854	62	23	1	1	X
ajst-29854	62	24	)	)	PUNCT
ajst-29854	62	25	(	(	PUNCT
ajst-29854	62	26	1	1	X
ajst-29854	62	27	)	)	PUNCT
ajst-29854	62	28	m	m	VERB
ajst-29854	62	29	n	n	ADV
ajst-29854	62	30	i	i	PRON
ajst-29854	63	1	j	j	NOUN
ajst-29854	64	1	r	r	NOUN
ajst-29854	64	2	g	g	PROPN
ajst-29854	64	3	i	i	PRON
ajst-29854	65	1	j	j	PROPN
ajst-29854	66	1	g	g	NOUN
ajst-29854	66	2	i	i	PRON
ajst-29854	66	3	j	j	PROPN
ajst-29854	66	4	m	m	VERB
ajst-29854	66	5	n	n	PROPN
ajst-29854	66	6			VERB
ajst-29854	66	7			NUM
ajst-29854	67	1			NUM
ajst-29854	67	2			PROPN
ajst-29854	67	3			PROPN
ajst-29854	67	4			VERB
ajst-29854	67	5			PROPN
ajst-29854	67	6			PROPN
ajst-29854	67	7	.	.	PUNCT
ajst-29854	68	1	(	(	PUNCT
ajst-29854	68	2	4	4	X
ajst-29854	68	3	)	)	PUNCT
ajst-29854	68	4	gravity	gravity	NOUN
ajst-29854	68	5	anomaly	anomaly	NOUN
ajst-29854	68	6	difference	difference	NOUN
ajst-29854	68	7	entropy	entropy	NOUN
ajst-29854	68	8	,	,	PUNCT
ajst-29854	68	9	the	the	DET
ajst-29854	68	10	calculation	calculation	NOUN
ajst-29854	68	11	formula	formula	NOUN
ajst-29854	68	12	is	be	AUX
ajst-29854	68	13	as	as	SCONJ
ajst-29854	68	14	follows	follow	VERB
ajst-29854	68	15	:	:	PUNCT
ajst-29854	68	16	44	44	NUM
ajst-29854	68	17	2	2	NUM
ajst-29854	68	18	1	1	NUM
ajst-29854	68	19	1	1	NUM
ajst-29854	68	20	log	log	NOUN
ajst-29854	68	21	m	m	NOUN
ajst-29854	68	22	n	n	ADV
ajst-29854	69	1	ij	ij	INTJ
ajst-29854	70	1	ij	ij	INTJ
ajst-29854	71	1	i	i	INTJ
ajst-29854	71	2	j	j	PROPN
ajst-29854	72	1	h	h	NOUN
ajst-29854	72	2	p	p	NOUN
ajst-29854	72	3	p	p	X
ajst-29854	73	1			ADJ
ajst-29854	73	2			NUM
ajst-29854	73	3			NOUN
ajst-29854	73	4			PROPN
ajst-29854	73	5	(	(	PUNCT
ajst-29854	73	6	4	4	NUM
ajst-29854	73	7	)	)	PUNCT
ajst-29854	73	8	where	where	SCONJ
ajst-29854	73	9	1	1	NUM
ajst-29854	73	10	1	1	NUM
ajst-29854	73	11	ij	ij	NUM
ajst-29854	74	1	ij	ij	INTJ
ajst-29854	74	2	m	m	VERB
ajst-29854	74	3	n	n	PRON
ajst-29854	75	1	ij	ij	INTJ
ajst-29854	76	1	i	i	INTJ
ajst-29854	76	2	j	j	PROPN
ajst-29854	77	1	d	d	NOUN
ajst-29854	77	2	p	p	X
ajst-29854	77	3	d	d	X
ajst-29854	77	4			PROPN
ajst-29854	78	1			ADJ
ajst-29854	79	1			ADV
ajst-29854	80	1			ADV
ajst-29854	80	2	,	,	PUNCT
ajst-29854	80	3	(	(	PUNCT
ajst-29854	80	4	,	,	PUNCT
ajst-29854	80	5	)	)	PUNCT
ajst-29854	80	6	ij	ij	INTJ
ajst-29854	81	1	g	g	NOUN
ajst-29854	82	1	i	i	PRON
ajst-29854	82	2	j	j	PROPN
ajst-29854	83	1	g	g	PROPN
ajst-29854	83	2	d	d	PROPN
ajst-29854	83	3	g	g	PROPN
ajst-29854	83	4			PROPN
ajst-29854	83	5			NUM
ajst-29854	83	6	.	.	PUNCT
ajst-29854	84	1	(	(	PUNCT
ajst-29854	84	2	5	5	X
ajst-29854	84	3	)	)	PUNCT
ajst-29854	84	4	correlation	correlation	NOUN
ajst-29854	84	5	coefficient	coefficient	NOUN
ajst-29854	84	6	,	,	PUNCT
ajst-29854	84	7	the	the	DET
ajst-29854	84	8	calculation	calculation	NOUN
ajst-29854	84	9	formula	formula	NOUN
ajst-29854	84	10	is	be	AUX
ajst-29854	84	11	as	as	SCONJ
ajst-29854	84	12	follows	follow	VERB
ajst-29854	84	13	:	:	PUNCT
ajst-29854	84	14	  	  	SPACE
ajst-29854	84	15	(	(	PUNCT
ajst-29854	84	16	)	)	PUNCT
ajst-29854	84	17	/	/	SYM
ajst-29854	85	1	2p	2p	NUM
ajst-29854	85	2	p	p	PROPN
ajst-29854	85	3	p	p	PROPN
ajst-29854	85	4			NOUN
ajst-29854	85	5			PUNCT
ajst-29854	85	6	(	(	PUNCT
ajst-29854	85	7	5	5	NUM
ajst-29854	85	8	)	)	SYM
ajst-29854	85	9	1	1	NUM
ajst-29854	85	10	1	1	NUM
ajst-29854	85	11	1	1	NUM
ajst-29854	85	12	1	1	NUM
ajst-29854	85	13	(	(	PUNCT
ajst-29854	85	14	,	,	PUNCT
ajst-29854	85	15	)	)	PUNCT
ajst-29854	85	16	(	(	PUNCT
ajst-29854	85	17	,	,	PUNCT
ajst-29854	85	18	1	1	X
ajst-29854	85	19	)	)	PUNCT
ajst-29854	85	20	(	(	PUNCT
ajst-29854	85	21	1	1	X
ajst-29854	85	22	)	)	PUNCT
ajst-29854	85	23	m	m	VERB
ajst-29854	85	24	n	n	ADV
ajst-29854	85	25	i	i	PRON
ajst-29854	85	26	j	j	PROPN
ajst-29854	86	1	p	p	NOUN
ajst-29854	86	2	g	g	PROPN
ajst-29854	87	1	i	i	PRON
ajst-29854	87	2	j	j	PROPN
ajst-29854	88	1	g	g	PROPN
ajst-29854	88	2	g	g	PROPN
ajst-29854	89	1	i	i	PRON
ajst-29854	89	2	j	j	PROPN
ajst-29854	90	1	g	g	PROPN
ajst-29854	90	2	m	m	PROPN
ajst-29854	90	3	n	n	PROPN
ajst-29854	90	4			PROPN
ajst-29854	90	5			NOUN
ajst-29854	90	6			NUM
ajst-29854	91	1			NUM
ajst-29854	91	2			PROPN
ajst-29854	91	3			PROPN
ajst-29854	91	4			PUNCT
ajst-29854	91	5			PROPN
ajst-29854	91	6			PROPN
ajst-29854	91	7			PRON
ajst-29854	91	8	(	(	PUNCT
ajst-29854	91	9	6	6	NUM
ajst-29854	91	10	)	)	SYM
ajst-29854	91	11	1	1	NUM
ajst-29854	91	12	1	1	NUM
ajst-29854	91	13	1	1	NUM
ajst-29854	91	14	1	1	NUM
ajst-29854	91	15	(	(	PUNCT
ajst-29854	91	16	,	,	PUNCT
ajst-29854	91	17	)	)	PUNCT
ajst-29854	91	18	(	(	PUNCT
ajst-29854	91	19	,	,	PUNCT
ajst-29854	91	20	1	1	X
ajst-29854	91	21	)	)	PUNCT
ajst-29854	91	22	(	(	PUNCT
ajst-29854	91	23	1	1	X
ajst-29854	91	24	)	)	PUNCT
ajst-29854	91	25	m	m	VERB
ajst-29854	91	26	n	n	ADV
ajst-29854	91	27	i	i	PRON
ajst-29854	91	28	j	j	PROPN
ajst-29854	92	1	p	p	NOUN
ajst-29854	92	2	g	g	PROPN
ajst-29854	93	1	i	i	PRON
ajst-29854	93	2	j	j	PROPN
ajst-29854	94	1	g	g	PROPN
ajst-29854	94	2	g	g	PROPN
ajst-29854	95	1	i	i	PRON
ajst-29854	95	2	j	j	PROPN
ajst-29854	95	3	g	g	PROPN
ajst-29854	95	4	n	n	PROPN
ajst-29854	95	5	m	m	PROPN
ajst-29854	95	6			PROPN
ajst-29854	95	7			NOUN
ajst-29854	95	8			NUM
ajst-29854	95	9			NUM
ajst-29854	95	10			PROPN
ajst-29854	95	11			PROPN
ajst-29854	95	12			PUNCT
ajst-29854	95	13			PROPN
ajst-29854	95	14			PROPN
ajst-29854	95	15			PRON
ajst-29854	95	16	(	(	PUNCT
ajst-29854	95	17	7	7	NUM
ajst-29854	95	18	)	)	PUNCT
ajst-29854	95	19	2.2	2.2	NUM
ajst-29854	95	20	.	.	PUNCT
ajst-29854	95	21	particle	particle	NOUN
ajst-29854	95	22	swarm	swarm	NOUN
ajst-29854	95	23	optimization	optimization	NOUN
ajst-29854	95	24	support	support	NOUN
ajst-29854	95	25	vector	vector	NOUN
ajst-29854	95	26	machine	machine	NOUN
ajst-29854	95	27	2.2.1	2.2.1	NUM
ajst-29854	95	28	.	.	PUNCT
ajst-29854	96	1	support	support	NOUN
ajst-29854	96	2	vector	vector	NOUN
ajst-29854	96	3	machine	machine	NOUN
ajst-29854	96	4	principles	principle	NOUN
ajst-29854	96	5	support	support	VERB
ajst-29854	96	6	vector	vector	NOUN
ajst-29854	96	7	machine	machine	NOUN
ajst-29854	96	8	(	(	PUNCT
ajst-29854	96	9	svm	svm	PROPN
ajst-29854	96	10	)	)	PUNCT
ajst-29854	96	11	is	be	AUX
ajst-29854	96	12	a	a	DET
ajst-29854	96	13	supervised	supervised	ADJ
ajst-29854	96	14	learning	learning	NOUN
ajst-29854	96	15	model	model	NOUN
ajst-29854	96	16	used	use	VERB
ajst-29854	96	17	for	for	ADP
ajst-29854	96	18	classification	classification	NOUN
ajst-29854	96	19	and	and	CCONJ
ajst-29854	96	20	regression	regression	NOUN
ajst-29854	96	21	analysis[6	analysis[6	PROPN
ajst-29854	96	22	]	]	PUNCT
ajst-29854	96	23	.	.	PUNCT
ajst-29854	97	1	the	the	DET
ajst-29854	97	2	core	core	ADJ
ajst-29854	97	3	idea	idea	NOUN
ajst-29854	97	4	of	of	ADP
ajst-29854	97	5	svm	svm	PROPN
ajst-29854	97	6	is	be	AUX
ajst-29854	97	7	to	to	PART
ajst-29854	97	8	find	find	VERB
ajst-29854	97	9	a	a	DET
ajst-29854	97	10	hyperplane	hyperplane	NOUN
ajst-29854	97	11	in	in	ADP
ajst-29854	97	12	a	a	DET
ajst-29854	97	13	highdimensional	highdimensional	ADJ
ajst-29854	97	14	space	space	NOUN
ajst-29854	97	15	that	that	PRON
ajst-29854	97	16	separates	separate	VERB
ajst-29854	97	17	data	datum	NOUN
ajst-29854	97	18	points	point	NOUN
ajst-29854	97	19	of	of	ADP
ajst-29854	97	20	different	different	ADJ
ajst-29854	97	21	classes	class	NOUN
ajst-29854	97	22	as	as	ADV
ajst-29854	97	23	much	much	ADV
ajst-29854	97	24	as	as	ADP
ajst-29854	97	25	possible	possible	ADJ
ajst-29854	97	26	while	while	SCONJ
ajst-29854	97	27	maximizing	maximize	VERB
ajst-29854	97	28	the	the	DET
ajst-29854	97	29	margin	margin	NOUN
ajst-29854	97	30	between	between	ADP
ajst-29854	97	31	the	the	DET
ajst-29854	97	32	classes	class	NOUN
ajst-29854	97	33	.	.	PUNCT
ajst-29854	98	1	additionally	additionally	ADV
ajst-29854	98	2	,	,	PUNCT
ajst-29854	98	3	by	by	ADP
ajst-29854	98	4	employing	employ	VERB
ajst-29854	98	5	what	what	PRON
ajst-29854	98	6	is	be	AUX
ajst-29854	98	7	known	know	VERB
ajst-29854	98	8	as	as	ADP
ajst-29854	98	9	the	the	DET
ajst-29854	98	10	kernel	kernel	PROPN
ajst-29854	98	11	trick	trick	NOUN
ajst-29854	98	12	,	,	PUNCT
ajst-29854	98	13	svm	svm	PROPN
ajst-29854	98	14	can	can	AUX
ajst-29854	98	15	efficiently	efficiently	ADV
ajst-29854	98	16	perform	perform	VERB
ajst-29854	98	17	nonlinear	nonlinear	ADJ
ajst-29854	98	18	classification	classification	NOUN
ajst-29854	98	19	.	.	PUNCT
ajst-29854	98	20	  	  	SPACE
ajst-29854	99	1	1	1	NUM
ajst-29854	99	2	,	,	PUNCT
ajst-29854	99	3	1	1	NUM
ajst-29854	99	4	1	1	NUM
ajst-29854	99	5	1	1	NUM
ajst-29854	99	6	max	max	NOUN
ajst-29854	99	7	(	(	PUNCT
ajst-29854	99	8	)	)	PUNCT
ajst-29854	99	9	(	(	PUNCT
ajst-29854	99	10	)	)	PUNCT
ajst-29854	99	11	(	(	PUNCT
ajst-29854	99	12	)	)	PUNCT
ajst-29854	99	13	2	2	NUM
ajst-29854	99	14	.	.	PUNCT
ajst-29854	99	15	,	,	PUNCT
ajst-29854	99	16	0	0	NUM
ajst-29854	99	17	(	(	PUNCT
ajst-29854	99	18	1	1	NUM
ajst-29854	99	19	~	~	PUNCT
ajst-29854	99	20	)	)	PUNCT
ajst-29854	99	21	,	,	PUNCT
ajst-29854	99	22	0	0	NUM
ajst-29854	99	23	n	n	CCONJ
ajst-29854	99	24	n	n	NOUN
ajst-29854	99	25	t	t	NOUN
ajst-29854	100	1	i	i	PRON
ajst-29854	100	2	j	j	PROPN
ajst-29854	101	1	i	i	PRON
ajst-29854	101	2	j	j	VERB
ajst-29854	102	1	i	i	PRON
ajst-29854	102	2	j	j	VERB
ajst-29854	103	1	i	i	PRON
ajst-29854	103	2	i	i	INTJ
ajst-29854	103	3	j	j	VERB
ajst-29854	104	1	n	n	CCONJ
ajst-29854	104	2	i	i	PRON
ajst-29854	105	1	i	i	PRON
ajst-29854	105	2	i	i	PRON
ajst-29854	106	1	i	i	PRON
ajst-29854	106	2	i	i	PRON
ajst-29854	106	3	yy	yy	INTJ
ajst-29854	106	4	x	x	PUNCT
ajst-29854	107	1	x	x	SYM
ajst-29854	107	2	s	s	PROPN
ajst-29854	107	3	t	t	X
ajst-29854	107	4	y	y	PROPN
ajst-29854	107	5	i	i	PRON
ajst-29854	107	6	n	n	CCONJ
ajst-29854	107	7			NOUN
ajst-29854	107	8			X
ajst-29854	107	9			X
ajst-29854	107	10			X
ajst-29854	107	11			X
ajst-29854	107	12			ADJ
ajst-29854	107	13			ADJ
ajst-29854	107	14			NOUN
ajst-29854	107	15			X
ajst-29854	107	16			NOUN
ajst-29854	107	17			NUM
ajst-29854	107	18			NOUN
ajst-29854	107	19			ADP
ajst-29854	108	1			PROPN
ajst-29854	108	2			PROPN
ajst-29854	109	1			NOUN
ajst-29854	109	2			NUM
ajst-29854	109	3			NOUN
ajst-29854	109	4			NUM
ajst-29854	109	5			NUM
ajst-29854	109	6			X
ajst-29854	109	7			X
ajst-29854	109	8			X
ajst-29854	109	9	(	(	PUNCT
ajst-29854	109	10	8)	8)	NUM
ajst-29854	109	11	the	the	DET
ajst-29854	109	12	gaussian	gaussian	ADJ
ajst-29854	109	13	kernel	kernel	PROPN
ajst-29854	109	14	support	support	NOUN
ajst-29854	109	15	vector	vector	NOUN
ajst-29854	109	16	machine	machine	NOUN
ajst-29854	109	17	(	(	PUNCT
ajst-29854	109	18	rbf	rbf	PROPN
ajst-29854	109	19	-	-	PUNCT
ajst-29854	109	20	svm	svm	PROPN
ajst-29854	109	21	)	)	PUNCT
ajst-29854	109	22	is	be	AUX
ajst-29854	109	23	a	a	DET
ajst-29854	109	24	type	type	NOUN
ajst-29854	109	25	of	of	ADP
ajst-29854	109	26	support	support	NOUN
ajst-29854	109	27	vector	vector	NOUN
ajst-29854	109	28	machine	machine	NOUN
ajst-29854	109	29	model	model	NOUN
ajst-29854	109	30	that	that	PRON
ajst-29854	109	31	uses	use	VERB
ajst-29854	109	32	the	the	DET
ajst-29854	109	33	radial	radial	ADJ
ajst-29854	109	34	basis	basis	NOUN
ajst-29854	109	35	function	function	NOUN
ajst-29854	109	36	(	(	PUNCT
ajst-29854	109	37	rbf	rbf	PROPN
ajst-29854	109	38	)	)	PUNCT
ajst-29854	109	39	as	as	ADP
ajst-29854	109	40	its	its	PRON
ajst-29854	109	41	kernel	kernel	NOUN
ajst-29854	109	42	.	.	PUNCT
ajst-29854	110	1	the	the	DET
ajst-29854	110	2	rbf	rbf	PROPN
ajst-29854	110	3	kernel	kernel	PROPN
ajst-29854	110	4	,	,	PUNCT
ajst-29854	110	5	also	also	ADV
ajst-29854	110	6	known	know	VERB
ajst-29854	110	7	as	as	ADP
ajst-29854	110	8	the	the	DET
ajst-29854	110	9	gaussian	gaussian	ADJ
ajst-29854	110	10	kernel	kernel	NOUN
ajst-29854	110	11	,	,	PUNCT
ajst-29854	110	12	is	be	AUX
ajst-29854	110	13	one	one	NUM
ajst-29854	110	14	of	of	ADP
ajst-29854	110	15	the	the	DET
ajst-29854	110	16	most	most	ADV
ajst-29854	110	17	commonly	commonly	ADV
ajst-29854	110	18	used	use	VERB
ajst-29854	110	19	kernels	kernel	NOUN
ajst-29854	110	20	in	in	ADP
ajst-29854	110	21	svm	svm	PROPN
ajst-29854	110	22	,	,	PUNCT
ajst-29854	110	23	especially	especially	ADV
ajst-29854	110	24	suitable	suitable	ADJ
ajst-29854	110	25	for	for	ADP
ajst-29854	110	26	nonlinear	nonlinear	ADJ
ajst-29854	110	27	classification	classification	NOUN
ajst-29854	110	28	problems	problem	NOUN
ajst-29854	110	29	.	.	PUNCT
ajst-29854	111	1	it	it	PRON
ajst-29854	111	2	works	work	VERB
ajst-29854	111	3	by	by	ADP
ajst-29854	111	4	mapping	map	VERB
ajst-29854	111	5	the	the	DET
ajst-29854	111	6	original	original	ADJ
ajst-29854	111	7	input	input	NOUN
ajst-29854	111	8	space	space	NOUN
ajst-29854	111	9	to	to	ADP
ajst-29854	111	10	a	a	DET
ajst-29854	111	11	higher	higher	ADV
ajst-29854	111	12	-	-	PUNCT
ajst-29854	111	13	dimensional	dimensional	ADJ
ajst-29854	111	14	space	space	NOUN
ajst-29854	111	15	,	,	PUNCT
ajst-29854	111	16	making	make	VERB
ajst-29854	111	17	it	it	PRON
ajst-29854	111	18	possible	possible	ADJ
ajst-29854	111	19	to	to	PART
ajst-29854	111	20	find	find	VERB
ajst-29854	111	21	a	a	DET
ajst-29854	111	22	hyperplane	hyperplane	NOUN
ajst-29854	111	23	that	that	PRON
ajst-29854	111	24	can	can	AUX
ajst-29854	111	25	linearly	linearly	ADV
ajst-29854	111	26	separate	separate	VERB
ajst-29854	111	27	the	the	DET
ajst-29854	111	28	data	data	NOUN
ajst-29854	111	29	points	point	NOUN
ajst-29854	111	30	in	in	ADP
ajst-29854	111	31	this	this	DET
ajst-29854	111	32	high	high	ADJ
ajst-29854	111	33	-	-	PUNCT
ajst-29854	111	34	dimensional	dimensional	ADJ
ajst-29854	111	35	space	space	NOUN
ajst-29854	111	36	[	[	X
ajst-29854	111	37	7	7	NUM
ajst-29854	111	38	]	]	PUNCT
ajst-29854	111	39	.	.	PUNCT
ajst-29854	112	1	the	the	DET
ajst-29854	112	2	mathematical	mathematical	ADJ
ajst-29854	112	3	expression	expression	NOUN
ajst-29854	112	4	for	for	ADP
ajst-29854	112	5	the	the	DET
ajst-29854	112	6	gaussian	gaussian	ADJ
ajst-29854	112	7	kernel	kernel	PROPN
ajst-29854	112	8	function	function	NOUN
ajst-29854	112	9	is	be	AUX
ajst-29854	112	10	:	:	PUNCT
ajst-29854	112	11	  	  	SPACE
ajst-29854	112	12	2	2	NUM
ajst-29854	112	13	2	2	NUM
ajst-29854	112	14	(	(	PUNCT
ajst-29854	112	15	,	,	PUNCT
ajst-29854	112	16	)	)	PUNCT
ajst-29854	112	17	exp	exp	NOUN
ajst-29854	112	18	(	(	PUNCT
ajst-29854	112	19	)	)	PUNCT
ajst-29854	112	20	2	2	NUM
ajst-29854	113	1	i	i	PRON
ajst-29854	113	2	i	i	PRON
ajst-29854	114	1	i	i	PRON
ajst-29854	114	2	j	j	NOUN
ajst-29854	115	1	x	x	VERB
ajst-29854	115	2	y	y	NOUN
ajst-29854	115	3	k	k	NOUN
ajst-29854	115	4	x	x	PUNCT
ajst-29854	115	5	x	x	X
ajst-29854	115	6			PROPN
ajst-29854	115	7			NOUN
ajst-29854	115	8			PROPN
ajst-29854	115	9			NOUN
ajst-29854	115	10	(	(	PUNCT
ajst-29854	115	11	9	9	NUM
ajst-29854	115	12	)	)	PUNCT
ajst-29854	115	13	this	this	DET
ajst-29854	115	14	paper	paper	NOUN
ajst-29854	115	15	adopts	adopt	VERB
ajst-29854	115	16	the	the	DET
ajst-29854	115	17	radial	radial	ADJ
ajst-29854	115	18	basis	basis	NOUN
ajst-29854	115	19	function	function	NOUN
ajst-29854	115	20	kernel	kernel	NOUN
ajst-29854	115	21	,	,	PUNCT
ajst-29854	115	22	bring	bring	VERB
ajst-29854	115	23	it	it	PRON
ajst-29854	115	24	into	into	ADP
ajst-29854	115	25	formula	formula	NOUN
ajst-29854	115	26	(	(	PUNCT
ajst-29854	115	27	7):the	7):the	DET
ajst-29854	115	28	classification	classification	NOUN
ajst-29854	115	29	function	function	NOUN
ajst-29854	115	30	of	of	ADP
ajst-29854	115	31	the	the	DET
ajst-29854	115	32	optimal	optimal	ADJ
ajst-29854	115	33	hyperplane	hyperplane	NOUN
ajst-29854	115	34	is	be	AUX
ajst-29854	115	35	expressed	express	VERB
ajst-29854	115	36	as	as	ADP
ajst-29854	115	37	:	:	PUNCT
ajst-29854	115	38	1	1	NUM
ajst-29854	115	39	(	(	PUNCT
ajst-29854	115	40	)	)	PUNCT
ajst-29854	115	41	sgn	sgn	NOUN
ajst-29854	115	42	(	(	PUNCT
ajst-29854	115	43	,	,	PUNCT
ajst-29854	115	44	)	)	PUNCT
ajst-29854	115	45	m	m	VERB
ajst-29854	116	1	i	i	INTJ
ajst-29854	117	1	i	i	PRON
ajst-29854	118	1	i	i	PRON
ajst-29854	118	2	j	j	VERB
ajst-29854	119	1	i	i	PRON
ajst-29854	119	2	f	f	NOUN
ajst-29854	120	1	x	x	VERB
ajst-29854	120	2	y	y	NOUN
ajst-29854	120	3	k	k	NOUN
ajst-29854	120	4	x	x	PUNCT
ajst-29854	120	5	x	x	SYM
ajst-29854	120	6	b	b	VERB
ajst-29854	120	7			PROPN
ajst-29854	121	1			PROPN
ajst-29854	121	2			NOUN
ajst-29854	121	3			PROPN
ajst-29854	121	4			PROPN
ajst-29854	121	5			PROPN
ajst-29854	121	6			X
ajst-29854	121	7	(	(	PUNCT
ajst-29854	121	8	10	10	NUM
ajst-29854	121	9	)	)	PUNCT
ajst-29854	121	10	in	in	ADP
ajst-29854	121	11	the	the	DET
ajst-29854	121	12	context	context	NOUN
ajst-29854	121	13	of	of	ADP
ajst-29854	121	14	rbf	rbf	PROPN
ajst-29854	121	15	-	-	PUNCT
ajst-29854	121	16	svm	svm	PROPN
ajst-29854	121	17	,	,	PUNCT
ajst-29854	121	18	selecting	select	VERB
ajst-29854	121	19	the	the	DET
ajst-29854	121	20	appropriate	appropriate	ADJ
ajst-29854	121	21	penalty	penalty	NOUN
ajst-29854	121	22	parameter	parameter	NOUN
ajst-29854	121	23	c	c	PROPN
ajst-29854	121	24	and	and	CCONJ
ajst-29854	121	25	gaussian	gaussian	ADJ
ajst-29854	121	26	kernel	kernel	PROPN
ajst-29854	121	27	parameter	parameter	PROPN
ajst-29854	121	28	g	g	PROPN
ajst-29854	121	29	is	be	AUX
ajst-29854	121	30	vital	vital	ADJ
ajst-29854	121	31	for	for	ADP
ajst-29854	121	32	enhancing	enhance	VERB
ajst-29854	121	33	classification	classification	NOUN
ajst-29854	121	34	performance	performance	NOUN
ajst-29854	121	35	.	.	PUNCT
ajst-29854	122	1	consequently	consequently	ADV
ajst-29854	122	2	,	,	PUNCT
ajst-29854	122	3	to	to	PART
ajst-29854	122	4	improve	improve	VERB
ajst-29854	122	5	classification	classification	NOUN
ajst-29854	122	6	outcomes	outcome	NOUN
ajst-29854	122	7	,	,	PUNCT
ajst-29854	122	8	standard	standard	ADJ
ajst-29854	122	9	particle	particle	NOUN
ajst-29854	122	10	swarm	swarm	NOUN
ajst-29854	122	11	optimization	optimization	NOUN
ajst-29854	122	12	(	(	PUNCT
ajst-29854	122	13	pso	pso	NOUN
ajst-29854	122	14	)	)	PUNCT
ajst-29854	122	15	is	be	AUX
ajst-29854	122	16	utilized	utilize	VERB
ajst-29854	122	17	to	to	PART
ajst-29854	122	18	optimize	optimize	VERB
ajst-29854	122	19	these	these	DET
ajst-29854	122	20	hyperparameters	hyperparameter	NOUN
ajst-29854	122	21	.	.	PUNCT
ajst-29854	123	1	2.2.2	2.2.2	X
ajst-29854	123	2	.	.	PUNCT
ajst-29854	123	3	genetic	genetic	ADJ
ajst-29854	123	4	algorithm	algorithm	NOUN
ajst-29854	123	5	genetic	genetic	ADJ
ajst-29854	123	6	algorithm	algorithm	NOUN
ajst-29854	123	7	(	(	PUNCT
ajst-29854	123	8	ga	ga	NOUN
ajst-29854	123	9	)	)	PUNCT
ajst-29854	123	10	is	be	AUX
ajst-29854	123	11	a	a	DET
ajst-29854	123	12	search	search	NOUN
ajst-29854	123	13	heuristic	heuristic	NOUN
ajst-29854	123	14	that	that	PRON
ajst-29854	123	15	mimics	mimic	VERB
ajst-29854	123	16	the	the	DET
ajst-29854	123	17	process	process	NOUN
ajst-29854	123	18	of	of	ADP
ajst-29854	123	19	natural	natural	ADJ
ajst-29854	123	20	selection	selection	NOUN
ajst-29854	123	21	and	and	CCONJ
ajst-29854	123	22	genetic	genetic	ADJ
ajst-29854	123	23	mechanisms	mechanism	NOUN
ajst-29854	123	24	,	,	PUNCT
ajst-29854	123	25	belonging	belong	VERB
ajst-29854	123	26	to	to	ADP
ajst-29854	123	27	the	the	DET
ajst-29854	123	28	category	category	NOUN
ajst-29854	123	29	of	of	ADP
ajst-29854	123	30	evolutionary	evolutionary	ADJ
ajst-29854	123	31	algorithms[8	algorithms[8	PROPN
ajst-29854	123	32	]	]	PUNCT
ajst-29854	123	33	.	.	PUNCT
ajst-29854	124	1	it	it	PRON
ajst-29854	124	2	draws	draw	VERB
ajst-29854	124	3	inspiration	inspiration	NOUN
ajst-29854	124	4	from	from	ADP
ajst-29854	124	5	darwin	darwin	PROPN
ajst-29854	124	6	's	's	PART
ajst-29854	124	7	theory	theory	NOUN
ajst-29854	124	8	of	of	ADP
ajst-29854	124	9	natural	natural	ADJ
ajst-29854	124	10	selection	selection	NOUN
ajst-29854	124	11	,	,	PUNCT
ajst-29854	124	12	particularly	particularly	ADV
ajst-29854	124	13	the	the	DET
ajst-29854	124	14	principle	principle	NOUN
ajst-29854	124	15	of	of	ADP
ajst-29854	124	16	"	"	PUNCT
ajst-29854	124	17	survival	survival	NOUN
ajst-29854	124	18	of	of	ADP
ajst-29854	124	19	the	the	DET
ajst-29854	124	20	fittest	fit	ADJ
ajst-29854	124	21	,	,	PUNCT
ajst-29854	124	22	"	"	PUNCT
ajst-29854	124	23	and	and	CCONJ
ajst-29854	124	24	addresses	address	VERB
ajst-29854	124	25	problems	problem	NOUN
ajst-29854	124	26	by	by	ADP
ajst-29854	124	27	simulating	simulate	VERB
ajst-29854	124	28	operations	operation	NOUN
ajst-29854	124	29	found	find	VERB
ajst-29854	124	30	in	in	ADP
ajst-29854	124	31	biological	biological	ADJ
ajst-29854	124	32	evolution	evolution	NOUN
ajst-29854	124	33	such	such	ADJ
ajst-29854	124	34	as	as	ADP
ajst-29854	124	35	inheritance	inheritance	NOUN
ajst-29854	124	36	,	,	PUNCT
ajst-29854	124	37	mutation	mutation	NOUN
ajst-29854	124	38	,	,	PUNCT
ajst-29854	124	39	selection	selection	NOUN
ajst-29854	124	40	,	,	PUNCT
ajst-29854	124	41	crossover	crossover	NOUN
ajst-29854	124	42	,	,	PUNCT
ajst-29854	124	43	and	and	CCONJ
ajst-29854	124	44	recombination[9	recombination[9	ADP
ajst-29854	124	45	]	]	X
ajst-29854	124	46	.	.	PUNCT
ajst-29854	125	1	the	the	DET
ajst-29854	125	2	formula	formula	NOUN
ajst-29854	125	3	is	be	AUX
ajst-29854	125	4	as	as	SCONJ
ajst-29854	125	5	follows	follow	VERB
ajst-29854	125	6	:	:	PUNCT
ajst-29854	125	7	x	x	SYM
ajst-29854	125	8	(	(	PUNCT
ajst-29854	125	9	1	1	NUM
ajst-29854	125	10	,	,	PUNCT
ajst-29854	125	11	2	2	NUM
ajst-29854	125	12	)	)	PUNCT
ajst-29854	125	13	,	,	PUNCT
ajst-29854	125	14	1	1	NUM
ajst-29854	125	15	,	,	PUNCT
ajst-29854	125	16	2i	2i	PROPN
ajst-29854	125	17	di	di	X
ajst-29854	125	18	di	di	NOUN
ajst-29854	125	19	did	do	AUX
ajst-29854	125	20	i	i	PRON
ajst-29854	125	21	np	np	NOUN
ajst-29854	125	22			VERB
ajst-29854	125	23			NUM
ajst-29854	125	24	(	(	PUNCT
ajst-29854	125	25	11	11	NUM
ajst-29854	125	26	)	)	PUNCT
ajst-29854	125	27	for	for	ADP
ajst-29854	125	28	each	each	DET
ajst-29854	125	29	individual	individual	NOUN
ajst-29854	125	30	in	in	ADP
ajst-29854	125	31	the	the	DET
ajst-29854	125	32	population	population	NOUN
ajst-29854	125	33	,	,	PUNCT
ajst-29854	125	34	the	the	DET
ajst-29854	125	35	mutation	mutation	NOUN
ajst-29854	125	36	vector	vector	NOUN
ajst-29854	125	37	in	in	ADP
ajst-29854	125	38	differential	differential	ADJ
ajst-29854	125	39	evolution	evolution	NOUN
ajst-29854	125	40	is	be	AUX
ajst-29854	125	41	generated	generate	VERB
ajst-29854	125	42	in	in	ADP
ajst-29854	125	43	the	the	DET
ajst-29854	125	44	following	following	ADJ
ajst-29854	125	45	way	way	NOUN
ajst-29854	125	46	:	:	PUNCT
ajst-29854	125	47	1	1	NUM
ajst-29854	125	48	2	2	NUM
ajst-29854	125	49	3	3	NUM
ajst-29854	125	50	(	(	PUNCT
ajst-29854	125	51	)	)	PUNCT
ajst-29854	126	1	i	i	PRON
ajst-29854	126	2	r	r	NOUN
ajst-29854	126	3	r	r	NOUN
ajst-29854	126	4	rv	rv	NOUN
ajst-29854	126	5	x	x	X
ajst-29854	126	6	f	f	PROPN
ajst-29854	126	7	x	x	SYM
ajst-29854	126	8	x	x	PROPN
ajst-29854	126	9			PUNCT
ajst-29854	126	10			X
ajst-29854	126	11	(	(	PUNCT
ajst-29854	126	12	12	12	NUM
ajst-29854	126	13	)	)	PUNCT
ajst-29854	126	14	where	where	SCONJ
ajst-29854	126	15	r1r1	r1r1	NOUN
ajst-29854	126	16	,	,	PUNCT
ajst-29854	126	17	r2r2	r2r2	NOUN
ajst-29854	126	18	,	,	PUNCT
ajst-29854	126	19	and	and	CCONJ
ajst-29854	126	20	r3r3	r3r3	NOUN
ajst-29854	126	21	are	be	AUX
ajst-29854	126	22	randomly	randomly	ADV
ajst-29854	126	23	selected	select	VERB
ajst-29854	126	24	from	from	ADP
ajst-29854	126	25	the	the	DET
ajst-29854	126	26	population	population	NOUN
ajst-29854	126	27	such	such	ADJ
ajst-29854	126	28	that	that	SCONJ
ajst-29854	126	29	r1≠r2≠r3	r1≠r2≠r3	NOUN
ajst-29854	126	30	,	,	PUNCT
ajst-29854	126	31	and	and	CCONJ
ajst-29854	126	32	f	f	PROPN
ajst-29854	126	33	is	be	AUX
ajst-29854	126	34	the	the	DET
ajst-29854	126	35	scaling	scaling	ADJ
ajst-29854	126	36	factor	factor	NOUN
ajst-29854	126	37	.	.	PUNCT
ajst-29854	127	1	typically	typically	ADV
ajst-29854	127	2	,	,	PUNCT
ajst-29854	127	3	the	the	DET
ajst-29854	127	4	scaling	scale	VERB
ajst-29854	127	5	factor	factor	NOUN
ajst-29854	127	6	f	f	PROPN
ajst-29854	127	7	is	be	AUX
ajst-29854	127	8	chosen	choose	VERB
ajst-29854	127	9	within	within	ADP
ajst-29854	127	10	the	the	DET
ajst-29854	127	11	range	range	NOUN
ajst-29854	127	12	[	[	X
ajst-29854	127	13	0	0	NUM
ajst-29854	127	14	,	,	PUNCT
ajst-29854	127	15	2	2	NUM
ajst-29854	127	16	]	]	PUNCT
ajst-29854	127	17	.	.	PUNCT
ajst-29854	128	1	below	below	ADV
ajst-29854	128	2	is	be	AUX
ajst-29854	128	3	the	the	DET
ajst-29854	128	4	crossover	crossover	NOUN
ajst-29854	128	5	formula	formula	NOUN
ajst-29854	128	6	for	for	ADP
ajst-29854	128	7	genetic	genetic	ADJ
ajst-29854	128	8	algorithms	algorithm	NOUN
ajst-29854	128	9	:	:	PUNCT
ajst-29854	128	10	,	,	PUNCT
ajst-29854	128	11	,	,	PUNCT
ajst-29854	128	12	,	,	PUNCT
ajst-29854	128	13	,	,	PUNCT
ajst-29854	128	14	rand	rand	NOUN
ajst-29854	128	15	<	<	X
ajst-29854	128	16	cr	cr	NOUN
ajst-29854	128	17	rand(1,d	rand(1,d	NOUN
ajst-29854	128	18	)	)	PUNCT
ajst-29854	129	1	=	=	PROPN
ajst-29854	129	2	j	j	PROPN
ajst-29854	129	3	,	,	PUNCT
ajst-29854	129	4	rand	rand	PROPN
ajst-29854	129	5	<	<	X
ajst-29854	129	6	cr	cr	PART
ajst-29854	129	7	rand(1,d	rand(1,d	NOUN
ajst-29854	129	8	)	)	PUNCT
ajst-29854	130	1	j	j	PROPN
ajst-29854	131	1	i	i	PRON
ajst-29854	131	2	j	j	PROPN
ajst-29854	132	1	i	i	PRON
ajst-29854	132	2	j	j	VERB
ajst-29854	133	1	i	i	PRON
ajst-29854	133	2	j	j	PROPN
ajst-29854	133	3	v	v	INTJ
ajst-29854	133	4	if	if	SCONJ
ajst-29854	133	5	u	u	NOUN
ajst-29854	133	6	x	x	X
ajst-29854	133	7	if	if	SCONJ
ajst-29854	133	8			ADV
ajst-29854	133	9			NOUN
ajst-29854	133	10			NUM
ajst-29854	133	11			NOUN
ajst-29854	133	12	(	(	PUNCT
ajst-29854	133	13	13	13	NUM
ajst-29854	133	14	)	)	PUNCT
ajst-29854	133	15	below	below	ADV
ajst-29854	133	16	is	be	AUX
ajst-29854	133	17	the	the	DET
ajst-29854	133	18	method	method	NOUN
ajst-29854	133	19	for	for	ADP
ajst-29854	133	20	selecting	select	VERB
ajst-29854	133	21	individuals	individual	NOUN
ajst-29854	133	22	for	for	ADP
ajst-29854	133	23	the	the	DET
ajst-29854	133	24	next	next	ADJ
ajst-29854	133	25	generation	generation	NOUN
ajst-29854	133	26	:	:	PUNCT
ajst-29854	134	1	i	i	PRON
ajst-29854	134	2	i	i	PRON
ajst-29854	134	3	,	,	PUNCT
ajst-29854	134	4	if	if	SCONJ
ajst-29854	134	5	fit(u	fit(u	PROPN
ajst-29854	134	6	)	)	PUNCT
ajst-29854	134	7	superior	superior	ADJ
ajst-29854	134	8	to	to	ADP
ajst-29854	134	9	fit(x	fit(x	PROPN
ajst-29854	134	10	)	)	PUNCT
ajst-29854	134	11	,	,	PUNCT
ajst-29854	134	12	else	else	ADV
ajst-29854	134	13	i	i	PRON
ajst-29854	134	14	i	i	PRON
ajst-29854	134	15	i	i	PRON
ajst-29854	134	16	u	u	VERB
ajst-29854	134	17	x	x	X
ajst-29854	134	18	x	x	VERB
ajst-29854	134	19			ADP
ajst-29854	134	20			NUM
ajst-29854	135	1			NUM
ajst-29854	135	2			PROPN
ajst-29854	135	3	(	(	PUNCT
ajst-29854	135	4	14	14	NUM
ajst-29854	135	5	)	)	PUNCT
ajst-29854	135	6	figure	figure	NOUN
ajst-29854	135	7	1	1	NUM
ajst-29854	135	8	.	.	PUNCT
ajst-29854	135	9	flowchart	flowchart	NOUN
ajst-29854	135	10	of	of	ADP
ajst-29854	135	11	genetic	genetic	ADJ
ajst-29854	135	12	algorithm	algorithm	NOUN
ajst-29854	135	13	encode	encode	ADJ
ajst-29854	135	14	initialize	initialize	VERB
ajst-29854	135	15	the	the	DET
ajst-29854	135	16	population	population	NOUN
ajst-29854	135	17	assess	assess	VERB
ajst-29854	135	18	individual	individual	ADJ
ajst-29854	135	19	fitness	fitness	NOUN
ajst-29854	135	20	in	in	ADP
ajst-29854	135	21	the	the	DET
ajst-29854	135	22	population	population	NOUN
ajst-29854	135	23	selection	selection	NOUN
ajst-29854	135	24	crossover	crossover	ADP
ajst-29854	135	25	mutation	mutation	NOUN
ajst-29854	135	26	evolution	evolution	NOUN
ajst-29854	135	27	45	45	NUM
ajst-29854	135	28	3	3	NUM
ajst-29854	135	29	.	.	PUNCT
ajst-29854	135	30	results	result	VERB
ajst-29854	135	31	this	this	DET
ajst-29854	135	32	study	study	NOUN
ajst-29854	135	33	utilized	utilize	VERB
ajst-29854	135	34	gravity	gravity	NOUN
ajst-29854	135	35	anomaly	anomaly	NOUN
ajst-29854	135	36	data	datum	NOUN
ajst-29854	135	37	from	from	ADP
ajst-29854	135	38	the	the	DET
ajst-29854	135	39	university	university	PROPN
ajst-29854	135	40	of	of	ADP
ajst-29854	135	41	california	california	PROPN
ajst-29854	135	42	,	,	PUNCT
ajst-29854	135	43	san	san	PROPN
ajst-29854	135	44	diego	diego	PROPN
ajst-29854	135	45	website	website	NOUN
ajst-29854	135	46	(	(	PUNCT
ajst-29854	135	47	http://topex.ucsd.edu/	http://topex.ucsd.edu/	PROPN
ajst-29854	135	48	)	)	PUNCT
ajst-29854	135	49	,	,	PUNCT
ajst-29854	135	50	with	with	ADP
ajst-29854	135	51	a	a	DET
ajst-29854	135	52	resolution	resolution	NOUN
ajst-29854	135	53	of	of	ADP
ajst-29854	135	54	1'×1	1'×1	NUM
ajst-29854	135	55	'	'	PUNCT
ajst-29854	135	56	.	.	PUNCT
ajst-29854	136	1	the	the	DET
ajst-29854	136	2	interpolated	interpolate	VERB
ajst-29854	136	3	image	image	NOUN
ajst-29854	136	4	has	have	VERB
ajst-29854	136	5	a	a	DET
ajst-29854	136	6	spatial	spatial	ADJ
ajst-29854	136	7	resolution	resolution	NOUN
ajst-29854	136	8	of	of	ADP
ajst-29854	136	9	approximately	approximately	ADV
ajst-29854	136	10	100	100	NUM
ajst-29854	136	11	m	m	NOUN
ajst-29854	136	12	×	×	NOUN
ajst-29854	136	13	100	100	NUM
ajst-29854	136	14	m.	m.	NOUN
ajst-29854	136	15	the	the	DET
ajst-29854	136	16	window	window	NOUN
ajst-29854	136	17	size	size	NOUN
ajst-29854	136	18	was	be	AUX
ajst-29854	136	19	set	set	VERB
ajst-29854	136	20	at	at	ADP
ajst-29854	136	21	150×150	150×150	NUM
ajst-29854	136	22	grid	grid	NOUN
ajst-29854	136	23	cells	cell	NOUN
ajst-29854	136	24	,	,	PUNCT
ajst-29854	136	25	with	with	ADP
ajst-29854	136	26	a	a	DET
ajst-29854	136	27	sliding	slide	VERB
ajst-29854	136	28	step	step	NOUN
ajst-29854	136	29	of	of	ADP
ajst-29854	136	30	150	150	NUM
ajst-29854	136	31	grid	grid	NOUN
ajst-29854	136	32	cells	cell	NOUN
ajst-29854	136	33	.	.	PUNCT
ajst-29854	137	1	each	each	DET
ajst-29854	137	2	region	region	NOUN
ajst-29854	137	3	thus	thus	ADV
ajst-29854	137	4	covers	cover	VERB
ajst-29854	137	5	an	an	DET
ajst-29854	137	6	actual	actual	ADJ
ajst-29854	137	7	area	area	NOUN
ajst-29854	137	8	of	of	ADP
ajst-29854	137	9	approximately	approximately	ADV
ajst-29854	137	10	15	15	NUM
ajst-29854	137	11	km	km	NOUN
ajst-29854	137	12	×	×	NOUN
ajst-29854	137	13	15	15	NUM
ajst-29854	137	14	km	km	NOUN
ajst-29854	137	15	.	.	PUNCT
ajst-29854	138	1	this	this	DET
ajst-29854	138	2	paper	paper	NOUN
ajst-29854	138	3	divides	divide	VERB
ajst-29854	138	4	the	the	DET
ajst-29854	138	5	experimental	experimental	ADJ
ajst-29854	138	6	area	area	NOUN
ajst-29854	138	7	into	into	ADP
ajst-29854	138	8	196	196	NUM
ajst-29854	138	9	sub	sub	NOUN
ajst-29854	138	10	-	-	NOUN
ajst-29854	138	11	regions	region	NOUN
ajst-29854	138	12	and	and	CCONJ
ajst-29854	138	13	conducts	conduct	VERB
ajst-29854	138	14	simulation	simulation	NOUN
ajst-29854	138	15	experiments	experiment	NOUN
ajst-29854	138	16	using	use	VERB
ajst-29854	138	17	the	the	DET
ajst-29854	138	18	tercom	tercom	NOUN
ajst-29854	138	19	algorithm	algorithm	NOUN
ajst-29854	138	20	.	.	PUNCT
ajst-29854	139	1	using	use	VERB
ajst-29854	139	2	average	average	ADJ
ajst-29854	139	3	positioning	positioning	NOUN
ajst-29854	139	4	accuracy	accuracy	NOUN
ajst-29854	139	5	as	as	ADP
ajst-29854	139	6	the	the	DET
ajst-29854	139	7	criterion	criterion	NOUN
ajst-29854	139	8	,	,	PUNCT
ajst-29854	139	9	regions	region	NOUN
ajst-29854	139	10	with	with	ADP
ajst-29854	139	11	an	an	DET
ajst-29854	139	12	accuracy	accuracy	NOUN
ajst-29854	139	13	of	of	ADP
ajst-29854	139	14	100	100	NUM
ajst-29854	139	15	2	2	NUM
ajst-29854	139	16	meters	meter	NOUN
ajst-29854	139	17	or	or	CCONJ
ajst-29854	139	18	less	less	ADJ
ajst-29854	139	19	are	be	AUX
ajst-29854	139	20	designated	designate	VERB
ajst-29854	139	21	as	as	ADP
ajst-29854	139	22	suitable	suitable	ADJ
ajst-29854	139	23	areas	area	NOUN
ajst-29854	139	24	,	,	PUNCT
ajst-29854	139	25	while	while	SCONJ
ajst-29854	139	26	all	all	DET
ajst-29854	139	27	other	other	ADJ
ajst-29854	139	28	regions	region	NOUN
ajst-29854	139	29	are	be	AUX
ajst-29854	139	30	designated	designate	VERB
ajst-29854	139	31	as	as	ADP
ajst-29854	139	32	unsuitable	unsuitable	ADJ
ajst-29854	139	33	areas	area	NOUN
ajst-29854	139	34	.	.	PUNCT
ajst-29854	140	1	the	the	DET
ajst-29854	140	2	simulation	simulation	NOUN
ajst-29854	140	3	parameters	parameter	NOUN
ajst-29854	140	4	are	be	AUX
ajst-29854	140	5	set	set	VERB
ajst-29854	140	6	as	as	SCONJ
ajst-29854	140	7	follows	follow	VERB
ajst-29854	140	8	:	:	PUNCT
ajst-29854	140	9	the	the	DET
ajst-29854	140	10	constant	constant	ADJ
ajst-29854	140	11	drift	drift	NOUN
ajst-29854	140	12	of	of	ADP
ajst-29854	140	13	the	the	DET
ajst-29854	140	14	gyroscope	gyroscope	NOUN
ajst-29854	140	15	in	in	ADP
ajst-29854	140	16	the	the	DET
ajst-29854	140	17	inertial	inertial	ADJ
ajst-29854	140	18	navigation	navigation	NOUN
ajst-29854	140	19	system	system	NOUN
ajst-29854	140	20	is	be	AUX
ajst-29854	140	21	set	set	VERB
ajst-29854	140	22	to	to	ADP
ajst-29854	140	23	0.05	0.05	NUM
ajst-29854	140	24	°	°	NOUN
ajst-29854	140	25	/h	/h	NOUN
ajst-29854	140	26	,	,	PUNCT
ajst-29854	140	27	and	and	CCONJ
ajst-29854	140	28	the	the	DET
ajst-29854	140	29	constant	constant	ADJ
ajst-29854	140	30	error	error	NOUN
ajst-29854	140	31	of	of	ADP
ajst-29854	140	32	the	the	DET
ajst-29854	140	33	accelerometer	accelerometer	NOUN
ajst-29854	140	34	is	be	AUX
ajst-29854	140	35	set	set	VERB
ajst-29854	140	36	to	to	ADP
ajst-29854	140	37	0.04	0.04	NUM
ajst-29854	140	38	m	m	NOUN
ajst-29854	140	39	/	/	SYM
ajst-29854	140	40	s²	s²	PROPN
ajst-29854	140	41	.	.	PUNCT
ajst-29854	141	1	the	the	DET
ajst-29854	141	2	simulated	simulated	ADJ
ajst-29854	141	3	speed	speed	NOUN
ajst-29854	141	4	is	be	AUX
ajst-29854	141	5	10	10	NUM
ajst-29854	141	6	m	m	NOUN
ajst-29854	141	7	/	/	SYM
ajst-29854	141	8	s.	s.	PROPN
ajst-29854	141	9	the	the	DET
ajst-29854	141	10	number	number	NOUN
ajst-29854	141	11	of	of	ADP
ajst-29854	141	12	samples	sample	NOUN
ajst-29854	141	13	is	be	AUX
ajst-29854	141	14	80	80	NUM
ajst-29854	141	15	,	,	PUNCT
ajst-29854	141	16	with	with	ADP
ajst-29854	141	17	a	a	DET
ajst-29854	141	18	sampling	sample	VERB
ajst-29854	141	19	period	period	NOUN
ajst-29854	141	20	of	of	ADP
ajst-29854	141	21	10	10	NUM
ajst-29854	141	22	seconds	second	NOUN
ajst-29854	141	23	.	.	PUNCT
ajst-29854	142	1	a	a	DET
ajst-29854	142	2	random	random	ADJ
ajst-29854	142	3	error	error	NOUN
ajst-29854	142	4	with	with	ADP
ajst-29854	142	5	a	a	DET
ajst-29854	142	6	standard	standard	ADJ
ajst-29854	142	7	deviation	deviation	NOUN
ajst-29854	142	8	of	of	ADP
ajst-29854	142	9	1	1	NUM
ajst-29854	142	10	mgal	mgal	NOUN
ajst-29854	142	11	is	be	AUX
ajst-29854	142	12	superimposed	superimpose	VERB
ajst-29854	142	13	on	on	ADP
ajst-29854	142	14	the	the	DET
ajst-29854	142	15	sampled	sample	VERB
ajst-29854	142	16	values	value	NOUN
ajst-29854	142	17	as	as	ADP
ajst-29854	142	18	real	real	ADJ
ajst-29854	142	19	-	-	PUNCT
ajst-29854	142	20	time	time	NOUN
ajst-29854	142	21	measurement	measurement	NOUN
ajst-29854	142	22	data	datum	NOUN
ajst-29854	142	23	for	for	ADP
ajst-29854	142	24	the	the	DET
ajst-29854	142	25	gravimeter	gravimeter	NOUN
ajst-29854	142	26	,	,	PUNCT
ajst-29854	142	27	and	and	CCONJ
ajst-29854	142	28	the	the	DET
ajst-29854	142	29	tercom	tercom	NOUN
ajst-29854	142	30	algorithm	algorithm	NOUN
ajst-29854	142	31	is	be	AUX
ajst-29854	142	32	used	use	VERB
ajst-29854	142	33	for	for	ADP
ajst-29854	142	34	trajectory	trajectory	NOUN
ajst-29854	142	35	matching	matching	NOUN
ajst-29854	142	36	.	.	PUNCT
ajst-29854	143	1	the	the	DET
ajst-29854	143	2	distribution	distribution	NOUN
ajst-29854	143	3	of	of	ADP
ajst-29854	143	4	positioning	positioning	NOUN
ajst-29854	143	5	accuracy	accuracy	NOUN
ajst-29854	143	6	obtained	obtain	VERB
ajst-29854	143	7	from	from	ADP
ajst-29854	143	8	the	the	DET
ajst-29854	143	9	simulation	simulation	NOUN
ajst-29854	143	10	experiment	experiment	NOUN
ajst-29854	143	11	is	be	AUX
ajst-29854	143	12	shown	show	VERB
ajst-29854	143	13	in	in	ADP
ajst-29854	143	14	figure	figure	NOUN
ajst-29854	143	15	2	2	NUM
ajst-29854	143	16	.	.	PUNCT
ajst-29854	144	1	(	(	PUNCT
ajst-29854	144	2	a	a	X
ajst-29854	144	3	)	)	PUNCT
ajst-29854	144	4	(	(	PUNCT
ajst-29854	144	5	b	b	X
ajst-29854	144	6	)	)	PUNCT
ajst-29854	144	7	(	(	PUNCT
ajst-29854	144	8	c	c	X
ajst-29854	144	9	)	)	PUNCT
ajst-29854	144	10	(	(	PUNCT
ajst-29854	144	11	d	d	X
ajst-29854	144	12	)	)	PUNCT
ajst-29854	144	13	figure	figure	NOUN
ajst-29854	144	14	2	2	NUM
ajst-29854	144	15	.	.	PUNCT
ajst-29854	145	1	calibration	calibration	NOUN
ajst-29854	145	2	of	of	ADP
ajst-29854	145	3	suitable	suitable	ADJ
ajst-29854	145	4	areas.(a	areas.(a	NOUN
ajst-29854	145	5	)	)	PUNCT
ajst-29854	145	6	pre	pre	VERB
ajst-29854	145	7	-	-	VERB
ajst-29854	145	8	calibrated	calibrate	VERB
ajst-29854	145	9	suitable	suitable	ADJ
ajst-29854	145	10	areas	area	NOUN
ajst-29854	145	11	in	in	ADP
ajst-29854	145	12	the	the	DET
ajst-29854	145	13	east	east	PROPN
ajst-29854	145	14	-	-	PUNCT
ajst-29854	145	15	west	west	PROPN
ajst-29854	145	16	direction	direction	NOUN
ajst-29854	145	17	;	;	PUNCT
ajst-29854	145	18	(	(	PUNCT
ajst-29854	145	19	b	b	X
ajst-29854	145	20	)	)	PUNCT
ajst-29854	145	21	pre	pre	ADJ
ajst-29854	145	22	-	-	ADJ
ajst-29854	145	23	calibrated	calibrate	VERB
ajst-29854	145	24	suitable	suitable	ADJ
ajst-29854	145	25	areas	area	NOUN
ajst-29854	145	26	in	in	ADP
ajst-29854	145	27	the	the	DET
ajst-29854	145	28	northeast	northeast	ADJ
ajst-29854	145	29	direction	direction	NOUN
ajst-29854	145	30	;	;	PUNCT
ajst-29854	145	31	(	(	PUNCT
ajst-29854	145	32	c	c	X
ajst-29854	145	33	)	)	PUNCT
ajst-29854	145	34	pre	pre	ADJ
ajst-29854	145	35	-	-	ADJ
ajst-29854	145	36	calibrated	calibrate	VERB
ajst-29854	145	37	suitable	suitable	ADJ
ajst-29854	145	38	areas	area	NOUN
ajst-29854	145	39	in	in	ADP
ajst-29854	145	40	the	the	DET
ajst-29854	145	41	north	north	NOUN
ajst-29854	145	42	-	-	PUNCT
ajst-29854	145	43	south	south	NOUN
ajst-29854	145	44	direction	direction	NOUN
ajst-29854	145	45	;	;	PUNCT
ajst-29854	145	46	(	(	PUNCT
ajst-29854	145	47	d	d	X
ajst-29854	145	48	)	)	PUNCT
ajst-29854	145	49	pre	pre	ADJ
ajst-29854	145	50	-	-	ADJ
ajst-29854	145	51	calibrated	calibrate	VERB
ajst-29854	145	52	suitable	suitable	ADJ
ajst-29854	145	53	areas	area	NOUN
ajst-29854	145	54	in	in	ADP
ajst-29854	145	55	the	the	DET
ajst-29854	145	56	northwest	northwest	ADJ
ajst-29854	145	57	direction	direction	NOUN
ajst-29854	145	58	the	the	DET
ajst-29854	145	59	dataset	dataset	NOUN
ajst-29854	145	60	is	be	AUX
ajst-29854	145	61	divided	divide	VERB
ajst-29854	145	62	into	into	ADP
ajst-29854	145	63	a	a	DET
ajst-29854	145	64	training	training	NOUN
ajst-29854	145	65	set	set	NOUN
ajst-29854	145	66	,	,	PUNCT
ajst-29854	145	67	a	a	DET
ajst-29854	145	68	test	test	NOUN
ajst-29854	145	69	set	set	NOUN
ajst-29854	145	70	,	,	PUNCT
ajst-29854	145	71	and	and	CCONJ
ajst-29854	145	72	a	a	DET
ajst-29854	145	73	validation	validation	NOUN
ajst-29854	145	74	set	set	VERB
ajst-29854	145	75	in	in	ADP
ajst-29854	145	76	a	a	DET
ajst-29854	145	77	ratio	ratio	NOUN
ajst-29854	145	78	of	of	ADP
ajst-29854	145	79	6:2:2	6:2:2	NUM
ajst-29854	145	80	.	.	PUNCT
ajst-29854	146	1	the	the	DET
ajst-29854	146	2	svm	svm	PROPN
ajst-29854	146	3	algorithm	algorithm	PROPN
ajst-29854	146	4	uses	use	VERB
ajst-29854	146	5	the	the	DET
ajst-29854	146	6	libsvm	libsvm	NOUN
ajst-29854	146	7	tool	tool	NOUN
ajst-29854	146	8	developed	develop	VERB
ajst-29854	146	9	by	by	ADP
ajst-29854	146	10	lin	lin	PROPN
ajst-29854	146	11	et	et	PROPN
ajst-29854	146	12	al	al	PROPN
ajst-29854	146	13	.	.	PROPN
ajst-29854	146	14	,	,	PUNCT
ajst-29854	146	15	with	with	ADP
ajst-29854	146	16	the	the	DET
ajst-29854	146	17	code	code	NOUN
ajst-29854	146	18	compilation	compilation	NOUN
ajst-29854	146	19	environment	environment	NOUN
ajst-29854	146	20	being	be	AUX
ajst-29854	146	21	matlab	matlab	NOUN
ajst-29854	146	22	r2021a[10	r2021a[10	PROPN
ajst-29854	146	23	]	]	X
ajst-29854	146	24	.	.	PUNCT
ajst-29854	147	1	the	the	DET
ajst-29854	147	2	standard	standard	ADJ
ajst-29854	147	3	genetic	genetic	ADJ
ajst-29854	147	4	algorithm	algorithm	NOUN
ajst-29854	147	5	(	(	PUNCT
ajst-29854	147	6	ga	ga	NOUN
ajst-29854	147	7	)	)	PUNCT
ajst-29854	147	8	is	be	AUX
ajst-29854	147	9	used	use	VERB
ajst-29854	147	10	to	to	PART
ajst-29854	147	11	optimize	optimize	VERB
ajst-29854	147	12	the	the	DET
ajst-29854	147	13	support	support	NOUN
ajst-29854	147	14	vector	vector	NOUN
ajst-29854	147	15	machine	machine	NOUN
ajst-29854	147	16	,	,	PUNCT
ajst-29854	147	17	with	with	ADP
ajst-29854	147	18	the	the	DET
ajst-29854	147	19	following	follow	VERB
ajst-29854	147	20	parameter	parameter	NOUN
ajst-29854	147	21	settings	setting	NOUN
ajst-29854	147	22	:	:	PUNCT
ajst-29854	147	23	penalty	penalty	NOUN
ajst-29854	147	24	parameter	parameter	NOUN
ajst-29854	147	25	ranges	range	VERB
ajst-29854	147	26	from	from	ADP
ajst-29854	147	27	[	[	X
ajst-29854	147	28	0.1	0.1	NUM
ajst-29854	147	29	,	,	PUNCT
ajst-29854	147	30	100	100	NUM
ajst-29854	147	31	]	]	PUNCT
ajst-29854	147	32	;	;	PUNCT
ajst-29854	147	33	kernel	kernel	PROPN
ajst-29854	147	34	function	function	PROPN
ajst-29854	147	35	parameter	parameter	NOUN
ajst-29854	147	36	ranges	range	VERB
ajst-29854	147	37	from	from	ADP
ajst-29854	147	38	[	[	X
ajst-29854	147	39	0.00001	0.00001	NUM
ajst-29854	147	40	,	,	PUNCT
ajst-29854	147	41	10	10	NUM
ajst-29854	147	42	]	]	PUNCT
ajst-29854	147	43	.	.	PUNCT
ajst-29854	148	1	the	the	DET
ajst-29854	148	2	parameter	parameter	NOUN
ajst-29854	148	3	settings	setting	NOUN
ajst-29854	148	4	for	for	ADP
ajst-29854	148	5	the	the	DET
ajst-29854	148	6	genetic	genetic	ADJ
ajst-29854	148	7	algorithm	algorithm	NOUN
ajst-29854	148	8	are	be	AUX
ajst-29854	148	9	as	as	SCONJ
ajst-29854	148	10	follows	follow	VERB
ajst-29854	148	11	:	:	PUNCT
ajst-29854	148	12	the	the	DET
ajst-29854	148	13	population	population	NOUN
ajst-29854	148	14	size	size	NOUN
ajst-29854	148	15	is	be	AUX
ajst-29854	148	16	set	set	VERB
ajst-29854	148	17	to	to	ADP
ajst-29854	148	18	100	100	NUM
ajst-29854	148	19	;	;	PUNCT
ajst-29854	148	20	the	the	DET
ajst-29854	148	21	number	number	NOUN
ajst-29854	148	22	of	of	ADP
ajst-29854	148	23	iterations	iteration	NOUN
ajst-29854	148	24	is	be	AUX
ajst-29854	148	25	set	set	VERB
ajst-29854	148	26	to	to	ADP
ajst-29854	148	27	500	500	NUM
ajst-29854	148	28	generations	generation	NOUN
ajst-29854	148	29	;	;	PUNCT
ajst-29854	148	30	the	the	DET
ajst-29854	148	31	crossover	crossover	NOUN
ajst-29854	148	32	probability	probability	NOUN
ajst-29854	148	33	is	be	AUX
ajst-29854	148	34	set	set	VERB
ajst-29854	148	35	to	to	ADP
ajst-29854	148	36	0.9	0.9	NUM
ajst-29854	148	37	;	;	PUNCT
ajst-29854	148	38	the	the	DET
ajst-29854	148	39	mutation	mutation	NOUN
ajst-29854	148	40	probability	probability	NOUN
ajst-29854	148	41	is	be	AUX
ajst-29854	148	42	set	set	VERB
ajst-29854	148	43	to	to	ADP
ajst-29854	148	44	0.01	0.01	NUM
ajst-29854	148	45	;	;	PUNCT
ajst-29854	148	46	an	an	DET
ajst-29854	148	47	elitism	elitism	NOUN
ajst-29854	148	48	strategy	strategy	NOUN
ajst-29854	148	49	is	be	AUX
ajst-29854	148	50	employed	employ	VERB
ajst-29854	148	51	,	,	PUNCT
ajst-29854	148	52	retaining	retain	VERB
ajst-29854	148	53	the	the	DET
ajst-29854	148	54	top	top	ADJ
ajst-29854	148	55	2	2	NUM
ajst-29854	148	56	individuals	individual	NOUN
ajst-29854	148	57	directly	directly	ADV
ajst-29854	148	58	into	into	ADP
ajst-29854	148	59	the	the	DET
ajst-29854	148	60	next	next	ADJ
ajst-29854	148	61	generation	generation	NOUN
ajst-29854	148	62	to	to	PART
ajst-29854	148	63	ensure	ensure	VERB
ajst-29854	148	64	that	that	SCONJ
ajst-29854	148	65	the	the	DET
ajst-29854	148	66	best	good	ADJ
ajst-29854	148	67	solutions	solution	NOUN
ajst-29854	148	68	found	find	VERB
ajst-29854	148	69	are	be	AUX
ajst-29854	148	70	not	not	PART
ajst-29854	148	71	lost	lose	VERB
ajst-29854	148	72	,	,	PUNCT
ajst-29854	148	73	which	which	PRON
ajst-29854	148	74	helps	helps	AUX
ajst-29854	148	75	maintain	maintain	VERB
ajst-29854	148	76	and	and	CCONJ
ajst-29854	148	77	improve	improve	VERB
ajst-29854	148	78	the	the	DET
ajst-29854	148	79	overall	overall	ADJ
ajst-29854	148	80	quality	quality	NOUN
ajst-29854	148	81	of	of	ADP
ajst-29854	148	82	the	the	DET
ajst-29854	148	83	population	population	NOUN
ajst-29854	148	84	.	.	PUNCT
ajst-29854	149	1	this	this	PRON
ajst-29854	149	2	indicates	indicate	VERB
ajst-29854	149	3	that	that	SCONJ
ajst-29854	149	4	for	for	ADP
ajst-29854	149	5	each	each	DET
ajst-29854	149	6	direction	direction	NOUN
ajst-29854	149	7	,	,	PUNCT
ajst-29854	149	8	specific	specific	ADJ
ajst-29854	149	9	values	value	NOUN
ajst-29854	149	10	have	have	AUX
ajst-29854	149	11	been	be	AUX
ajst-29854	149	12	set	set	VERB
ajst-29854	149	13	for	for	ADP
ajst-29854	149	14	the	the	DET
ajst-29854	149	15	kernel	kernel	PROPN
ajst-29854	149	16	function	function	PROPN
ajst-29854	149	17	parameter	parameter	NOUN
ajst-29854	149	18	and	and	CCONJ
ajst-29854	149	19	the	the	DET
ajst-29854	149	20	penalty	penalty	NOUN
ajst-29854	149	21	parameter	parameter	NOUN
ajst-29854	149	22	to	to	PART
ajst-29854	149	23	optimize	optimize	VERB
ajst-29854	149	24	the	the	DET
ajst-29854	149	25	performance	performance	NOUN
ajst-29854	149	26	of	of	ADP
ajst-29854	149	27	the	the	DET
ajst-29854	149	28	svm	svm	ADJ
ajst-29854	149	29	model	model	NOUN
ajst-29854	149	30	46	46	NUM
ajst-29854	149	31	table	table	NOUN
ajst-29854	149	32	1	1	NUM
ajst-29854	149	33	.	.	PUNCT
ajst-29854	149	34	performance	performance	NOUN
ajst-29854	149	35	results	result	NOUN
ajst-29854	149	36	of	of	ADP
ajst-29854	149	37	various	various	ADJ
ajst-29854	149	38	classifiers	classifier	NOUN
ajst-29854	149	39	on	on	ADP
ajst-29854	149	40	the	the	DET
ajst-29854	149	41	test	test	NOUN
ajst-29854	149	42	set	set	VERB
ajst-29854	149	43	.	.	PUNCT
ajst-29854	150	1	direction	direction	NOUN
ajst-29854	150	2	accuracy	accuracy	PROPN
ajst-29854	150	3	east	east	PROPN
ajst-29854	150	4	-	-	PUNCT
ajst-29854	150	5	west	west	PROPN
ajst-29854	150	6	heading	head	VERB
ajst-29854	150	7	92	92	NUM
ajst-29854	150	8	%	%	NOUN
ajst-29854	150	9	north	north	NOUN
ajst-29854	150	10	-	-	PUNCT
ajst-29854	150	11	south	south	NOUN
ajst-29854	150	12	heading	head	VERB
ajst-29854	150	13	91	91	NUM
ajst-29854	150	14	%	%	NOUN
ajst-29854	150	15	northeast	northeast	ADV
ajst-29854	150	16	heading	head	VERB
ajst-29854	150	17	93	93	NUM
ajst-29854	150	18	%	%	NOUN
ajst-29854	150	19	northwest	northwest	NOUN
ajst-29854	150	20	heading	head	VERB
ajst-29854	150	21	89	89	NUM
ajst-29854	150	22	%	%	NOUN
ajst-29854	150	23	  	  	SPACE
ajst-29854	150	24	manually	manually	ADV
ajst-29854	150	25	adjusting	adjust	VERB
ajst-29854	150	26	these	these	DET
ajst-29854	150	27	parameters	parameter	NOUN
ajst-29854	150	28	is	be	AUX
ajst-29854	150	29	time	time	NOUN
ajst-29854	150	30	-	-	PUNCT
ajst-29854	150	31	consuming	consume	VERB
ajst-29854	150	32	and	and	CCONJ
ajst-29854	150	33	challenging	challenging	ADJ
ajst-29854	150	34	,	,	PUNCT
ajst-29854	150	35	whereas	whereas	SCONJ
ajst-29854	150	36	genetic	genetic	ADJ
ajst-29854	150	37	algorithms	algorithm	NOUN
ajst-29854	150	38	(	(	PUNCT
ajst-29854	150	39	ga	ga	NOUN
ajst-29854	150	40	)	)	PUNCT
ajst-29854	150	41	can	can	AUX
ajst-29854	150	42	automatically	automatically	ADV
ajst-29854	150	43	search	search	VERB
ajst-29854	150	44	for	for	ADP
ajst-29854	150	45	the	the	DET
ajst-29854	150	46	best	good	ADJ
ajst-29854	150	47	parameter	parameter	NOUN
ajst-29854	150	48	combinations	combination	NOUN
ajst-29854	150	49	,	,	PUNCT
ajst-29854	150	50	thereby	thereby	ADV
ajst-29854	150	51	saving	save	VERB
ajst-29854	150	52	time	time	NOUN
ajst-29854	150	53	and	and	CCONJ
ajst-29854	150	54	effort	effort	NOUN
ajst-29854	150	55	.	.	PUNCT
ajst-29854	151	1	ga	ga	PROPN
ajst-29854	151	2	employs	employ	VERB
ajst-29854	151	3	a	a	DET
ajst-29854	151	4	search	search	NOUN
ajst-29854	151	5	strategy	strategy	NOUN
ajst-29854	151	6	based	base	VERB
ajst-29854	151	7	on	on	ADP
ajst-29854	151	8	evolutionary	evolutionary	ADJ
ajst-29854	151	9	principles	principle	NOUN
ajst-29854	151	10	,	,	PUNCT
ajst-29854	151	11	allowing	allow	VERB
ajst-29854	151	12	for	for	ADP
ajst-29854	151	13	extensive	extensive	ADJ
ajst-29854	151	14	searches	search	NOUN
ajst-29854	151	15	across	across	ADP
ajst-29854	151	16	the	the	DET
ajst-29854	151	17	entire	entire	ADJ
ajst-29854	151	18	solution	solution	NOUN
ajst-29854	151	19	space	space	NOUN
ajst-29854	151	20	.	.	PUNCT
ajst-29854	152	1	this	this	DET
ajst-29854	152	2	capability	capability	NOUN
ajst-29854	152	3	helps	help	VERB
ajst-29854	152	4	in	in	ADP
ajst-29854	152	5	finding	find	VERB
ajst-29854	152	6	the	the	DET
ajst-29854	152	7	global	global	ADJ
ajst-29854	152	8	optimum	optimum	NOUN
ajst-29854	152	9	or	or	CCONJ
ajst-29854	152	10	a	a	DET
ajst-29854	152	11	solution	solution	NOUN
ajst-29854	152	12	close	close	ADV
ajst-29854	152	13	to	to	ADP
ajst-29854	152	14	the	the	DET
ajst-29854	152	15	global	global	ADJ
ajst-29854	152	16	optimum	optimum	NOUN
ajst-29854	152	17	,	,	PUNCT
ajst-29854	152	18	thus	thus	ADV
ajst-29854	152	19	avoiding	avoid	VERB
ajst-29854	152	20	the	the	DET
ajst-29854	152	21	problem	problem	NOUN
ajst-29854	152	22	of	of	ADP
ajst-29854	152	23	getting	getting	AUX
ajst-29854	152	24	trapped	trap	VERB
ajst-29854	152	25	in	in	ADP
ajst-29854	152	26	local	local	ADJ
ajst-29854	152	27	optima	optima	NOUN
ajst-29854	152	28	,	,	PUNCT
ajst-29854	152	29	which	which	PRON
ajst-29854	152	30	is	be	AUX
ajst-29854	152	31	common	common	ADJ
ajst-29854	152	32	with	with	ADP
ajst-29854	152	33	traditional	traditional	ADJ
ajst-29854	152	34	optimization	optimization	NOUN
ajst-29854	152	35	methods	method	NOUN
ajst-29854	152	36	.	.	PUNCT
ajst-29854	153	1	as	as	SCONJ
ajst-29854	153	2	shown	show	VERB
ajst-29854	153	3	in	in	ADP
ajst-29854	153	4	table	table	NOUN
ajst-29854	153	5	1	1	NUM
ajst-29854	153	6	,	,	PUNCT
ajst-29854	153	7	the	the	DET
ajst-29854	153	8	classifier	classifier	NOUN
ajst-29854	153	9	's	's	PART
ajst-29854	153	10	accuracy	accuracy	NOUN
ajst-29854	153	11	reaches	reach	VERB
ajst-29854	153	12	above	above	ADP
ajst-29854	153	13	90	90	NUM
ajst-29854	153	14	%	%	NOUN
ajst-29854	153	15	in	in	ADP
ajst-29854	153	16	all	all	DET
ajst-29854	153	17	directions	direction	NOUN
ajst-29854	153	18	except	except	SCONJ
ajst-29854	153	19	for	for	ADP
ajst-29854	153	20	the	the	DET
ajst-29854	153	21	northwest	northwest	NOUN
ajst-29854	153	22	,	,	PUNCT
ajst-29854	153	23	where	where	SCONJ
ajst-29854	153	24	it	it	PRON
ajst-29854	153	25	stands	stand	VERB
ajst-29854	153	26	at	at	ADP
ajst-29854	153	27	87	87	NUM
ajst-29854	153	28	%	%	NOUN
ajst-29854	153	29	.	.	PUNCT
ajst-29854	154	1	experiments	experiment	NOUN
ajst-29854	154	2	have	have	AUX
ajst-29854	154	3	shown	show	VERB
ajst-29854	154	4	that	that	SCONJ
ajst-29854	154	5	the	the	DET
ajst-29854	154	6	method	method	NOUN
ajst-29854	154	7	proposed	propose	VERB
ajst-29854	154	8	in	in	ADP
ajst-29854	154	9	this	this	DET
ajst-29854	154	10	paper	paper	NOUN
ajst-29854	154	11	can	can	AUX
ajst-29854	154	12	more	more	ADV
ajst-29854	154	13	comprehensively	comprehensively	ADV
ajst-29854	154	14	divide	divide	VERB
ajst-29854	154	15	the	the	DET
ajst-29854	154	16	adaptation	adaptation	NOUN
ajst-29854	154	17	regions	region	NOUN
ajst-29854	154	18	of	of	ADP
ajst-29854	154	19	the	the	DET
ajst-29854	154	20	study	study	NOUN
ajst-29854	154	21	area	area	NOUN
ajst-29854	154	22	.	.	PUNCT
ajst-29854	155	1	4	4	X
ajst-29854	155	2	.	.	X
ajst-29854	155	3	conclusions	conclusion	NOUN
ajst-29854	155	4	this	this	DET
ajst-29854	155	5	paper	paper	NOUN
ajst-29854	155	6	primarily	primarily	ADV
ajst-29854	155	7	investigates	investigate	VERB
ajst-29854	155	8	underwater	underwater	ADJ
ajst-29854	155	9	navigation	navigation	NOUN
ajst-29854	155	10	technology	technology	NOUN
ajst-29854	155	11	based	base	VERB
ajst-29854	155	12	on	on	ADP
ajst-29854	155	13	gravity	gravity	NOUN
ajst-29854	155	14	-	-	PUNCT
ajst-29854	155	15	adaptive	adaptive	ADJ
ajst-29854	155	16	regions	region	NOUN
ajst-29854	155	17	,	,	PUNCT
ajst-29854	155	18	utilizing	utilize	VERB
ajst-29854	155	19	support	support	NOUN
ajst-29854	155	20	vector	vector	NOUN
ajst-29854	155	21	machine	machine	NOUN
ajst-29854	155	22	(	(	PUNCT
ajst-29854	155	23	svm	svm	ADJ
ajst-29854	155	24	)	)	PUNCT
ajst-29854	155	25	classification	classification	NOUN
ajst-29854	155	26	methods	method	NOUN
ajst-29854	155	27	for	for	ADP
ajst-29854	155	28	gravity	gravity	NOUN
ajst-29854	155	29	-	-	PUNCT
ajst-29854	155	30	assisted	assist	VERB
ajst-29854	155	31	navigation	navigation	NOUN
ajst-29854	155	32	.	.	PUNCT
ajst-29854	156	1	by	by	ADP
ajst-29854	156	2	incorporating	incorporate	VERB
ajst-29854	156	3	kernel	kernel	NOUN
ajst-29854	156	4	functions	function	NOUN
ajst-29854	156	5	,	,	PUNCT
ajst-29854	156	6	svm	svm	PROPN
ajst-29854	156	7	can	can	AUX
ajst-29854	156	8	accurately	accurately	ADV
ajst-29854	156	9	capture	capture	VERB
ajst-29854	156	10	nonlinear	nonlinear	ADJ
ajst-29854	156	11	relationships	relationship	NOUN
ajst-29854	156	12	and	and	CCONJ
ajst-29854	156	13	complex	complex	ADJ
ajst-29854	156	14	dynamic	dynamic	ADJ
ajst-29854	156	15	changes	change	NOUN
ajst-29854	156	16	within	within	ADP
ajst-29854	156	17	the	the	DET
ajst-29854	156	18	data	datum	NOUN
ajst-29854	156	19	,	,	PUNCT
ajst-29854	156	20	offering	offer	VERB
ajst-29854	156	21	excellent	excellent	ADJ
ajst-29854	156	22	adaptability	adaptability	NOUN
ajst-29854	156	23	and	and	CCONJ
ajst-29854	156	24	robustness	robustness	NOUN
ajst-29854	156	25	.	.	PUNCT
ajst-29854	157	1	to	to	PART
ajst-29854	157	2	further	far	ADV
ajst-29854	157	3	enhance	enhance	VERB
ajst-29854	157	4	the	the	DET
ajst-29854	157	5	classifier	classifier	NOUN
ajst-29854	157	6	's	's	PART
ajst-29854	157	7	accuracy	accuracy	NOUN
ajst-29854	157	8	,	,	PUNCT
ajst-29854	157	9	this	this	DET
ajst-29854	157	10	study	study	NOUN
ajst-29854	157	11	introduces	introduce	VERB
ajst-29854	157	12	genetic	genetic	ADJ
ajst-29854	157	13	algorithm	algorithm	NOUN
ajst-29854	157	14	(	(	PUNCT
ajst-29854	157	15	ga	ga	NOUN
ajst-29854	157	16	)	)	PUNCT
ajst-29854	157	17	to	to	PART
ajst-29854	157	18	optimize	optimize	VERB
ajst-29854	157	19	the	the	DET
ajst-29854	157	20	svm	svm	PROPN
ajst-29854	157	21	.	.	PUNCT
ajst-29854	158	1	the	the	DET
ajst-29854	158	2	experiment	experiment	NOUN
ajst-29854	158	3	proves	prove	VERB
ajst-29854	158	4	that	that	SCONJ
ajst-29854	158	5	the	the	DET
ajst-29854	158	6	method	method	NOUN
ajst-29854	158	7	proposed	propose	VERB
ajst-29854	158	8	in	in	ADP
ajst-29854	158	9	this	this	DET
ajst-29854	158	10	paper	paper	NOUN
ajst-29854	158	11	can	can	AUX
ajst-29854	158	12	divide	divide	VERB
ajst-29854	158	13	the	the	DET
ajst-29854	158	14	adaptation	adaptation	NOUN
ajst-29854	158	15	region	region	NOUN
ajst-29854	158	16	of	of	ADP
ajst-29854	158	17	the	the	DET
ajst-29854	158	18	study	study	NOUN
ajst-29854	158	19	area	area	NOUN
ajst-29854	158	20	more	more	ADV
ajst-29854	158	21	comprehensively	comprehensively	ADV
ajst-29854	158	22	.	.	PUNCT
ajst-29854	159	1	references	reference	NOUN
ajst-29854	159	2	[	[	X
ajst-29854	159	3	1	1	NUM
ajst-29854	159	4	]	]	X
ajst-29854	159	5	zou	zou	PROPN
ajst-29854	159	6	,	,	PUNCT
ajst-29854	159	7	j.s	j.s	PROPN
ajst-29854	159	8	,	,	PUNCT
ajst-29854	159	9	xiao	xiao	PROPN
ajst-29854	159	10	,	,	PUNCT
ajst-29854	159	11	y	y	PROPN
ajst-29854	159	12	,	,	PUNCT
ajst-29854	159	13	sun	sun	NOUN
ajst-29854	159	14	,	,	PUNCT
ajst-29854	159	15	a.b	a.b	PROPN
ajst-29854	159	16	,	,	PUNCT
ajst-29854	159	17	wei	wei	PROPN
ajst-29854	159	18	,	,	PUNCT
ajst-29854	159	19	j.c	j.c	PROPN
ajst-29854	159	20	,	,	PUNCT
ajst-29854	159	21	meng	meng	PROPN
ajst-29854	159	22	,	,	PUNCT
ajst-29854	159	23	n	n	CCONJ
ajst-29854	159	24	,	,	PUNCT
ajst-29854	159	25	and	and	CCONJ
ajst-29854	159	26	ai	ai	VERB
ajst-29854	159	27	,	,	PUNCT
ajst-29854	159	28	s.j	s.j	PROPN
ajst-29854	159	29	,	,	PUNCT
ajst-29854	159	30	“	"	PUNCT
ajst-29854	159	31	research	research	NOUN
ajst-29854	159	32	on	on	ADP
ajst-29854	159	33	relationship	relationship	NOUN
ajst-29854	159	34	between	between	ADP
ajst-29854	159	35	gravity	gravity	NOUN
ajst-29854	159	36	anomaly	anomaly	NOUN
ajst-29854	159	37	feature	feature	NOUN
ajst-29854	159	38	quality	quality	NOUN
ajst-29854	159	39	and	and	CCONJ
ajst-29854	159	40	matching	match	VERB
ajst-29854	159	41	navigation	navigation	NOUN
ajst-29854	159	42	algorithm	algorithm	NOUN
ajst-29854	159	43	,	,	PUNCT
ajst-29854	159	44	”	"	PUNCT
ajst-29854	159	45	science	science	NOUN
ajst-29854	159	46	of	of	ADP
ajst-29854	159	47	surveying	surveying	NOUN
ajst-29854	159	48	and	and	CCONJ
ajst-29854	159	49	mapping	mapping	NOUN
ajst-29854	159	50	,	,	PUNCT
ajst-29854	159	51	vol	vol	NOUN
ajst-29854	159	52	.	.	PROPN
ajst-29854	159	53	45	45	NUM
ajst-29854	159	54	,	,	PUNCT
ajst-29854	159	55	no	no	INTJ
ajst-29854	159	56	.	.	NOUN
ajst-29854	159	57	10	10	NUM
ajst-29854	159	58	,	,	PUNCT
ajst-29854	159	59	pp	pp	ADJ
ajst-29854	159	60	.	.	PUNCT
ajst-29854	160	1	33–40	33–40	NUM
ajst-29854	160	2	,	,	PUNCT
ajst-29854	160	3	2020	2020	NUM
ajst-29854	160	4	,	,	PUNCT
ajst-29854	160	5	doi	doi	NOUN
ajst-29854	160	6	:	:	PUNCT
ajst-29854	160	7	10.16251	10.16251	NUM
ajst-29854	160	8	/	/	SYM
ajst-29854	160	9	j.cnki.1009	j.cnki.1009	NUM
ajst-29854	160	10	-	-	PUNCT
ajst-29854	160	11	2307.2020.10.006	2307.2020.10.006	NUM
ajst-29854	160	12	.	.	PUNCT
ajst-29854	161	1	[	[	X
ajst-29854	161	2	2	2	NUM
ajst-29854	161	3	]	]	X
ajst-29854	161	4	chen	chen	PROPN
ajst-29854	161	5	,	,	PUNCT
ajst-29854	161	6	k.n	k.n	PROPN
ajst-29854	161	7	,	,	PUNCT
ajst-29854	161	8	xiao	xiao	PROPN
ajst-29854	161	9	,	,	PUNCT
ajst-29854	161	10	y	y	PROPN
ajst-29854	161	11	,	,	PUNCT
ajst-29854	161	12	zhang	zhang	PROPN
ajst-29854	161	13	,	,	PUNCT
ajst-29854	161	14	b.j	b.j	PROPN
ajst-29854	161	15	,	,	PUNCT
ajst-29854	161	16	cao	cao	PROPN
ajst-29854	161	17	,	,	PUNCT
ajst-29854	161	18	j	j	PROPN
ajst-29854	161	19	,	,	PUNCT
ajst-29854	161	20	wang	wang	PROPN
ajst-29854	161	21	,	,	PUNCT
ajst-29854	161	22	y.k	y.k	PROPN
ajst-29854	161	23	,	,	PUNCT
ajst-29854	161	24	and	and	CCONJ
ajst-29854	161	25	hong	hong	PROPN
ajst-29854	161	26	,	,	PUNCT
ajst-29854	161	27	x.d	x.d	PROPN
ajst-29854	161	28	,	,	PUNCT
ajst-29854	161	29	“	"	PUNCT
ajst-29854	161	30	comparison	comparison	NOUN
ajst-29854	161	31	of	of	ADP
ajst-29854	161	32	adaptive	adaptive	ADJ
ajst-29854	161	33	evaluation	evaluation	NOUN
ajst-29854	161	34	meth	meth	NOUN
ajst-29854	161	35	ods	od	NOUN
ajst-29854	161	36	of	of	ADP
ajst-29854	161	37	underwater	underwater	ADJ
ajst-29854	161	38	gravity	gravity	NOUN
ajst-29854	161	39	matching	matching	NOUN
ajst-29854	161	40	navigation	navigation	NOUN
ajst-29854	161	41	,	,	PUNCT
ajst-29854	161	42	”	"	PUNCT
ajst-29854	161	43	journal	journal	NOUN
ajst-29854	161	44	of	of	ADP
ajst-29854	161	45	geodesy	geodesy	PROPN
ajst-29854	161	46	and	and	CCONJ
ajst-29854	161	47	geodynamics	geodynamic	NOUN
ajst-29854	161	48	,	,	PUNCT
ajst-29854	161	49	pp	pp	PROPN
ajst-29854	161	50	.	.	PUNCT
ajst-29854	162	1	1–12	1–12	NOUN
ajst-29854	162	2	,	,	PUNCT
ajst-29854	162	3	doi	doi	NOUN
ajst-29854	162	4	:	:	PUNCT
ajst-29854	162	5	10.14075	10.14075	NUM
ajst-29854	162	6	/	/	SYM
ajst-29854	162	7	j.jgg.2023.10.176	j.jgg.2023.10.176	NOUN
ajst-29854	162	8	.	.	PUNCT
ajst-29854	163	1	[	[	X
ajst-29854	163	2	3	3	X
ajst-29854	163	3	]	]	PUNCT
ajst-29854	163	4	z.	z.	PROPN
ajst-29854	163	5	wang	wang	PROPN
ajst-29854	163	6	,	,	PUNCT
ajst-29854	163	7	y.	y.	PROPN
ajst-29854	163	8	huang	huang	PROPN
ajst-29854	163	9	,	,	PUNCT
ajst-29854	163	10	m.	m.	PROPN
ajst-29854	163	11	wang	wang	PROPN
ajst-29854	163	12	,	,	PUNCT
ajst-29854	163	13	j.	j.	PROPN
ajst-29854	163	14	wu	wu	PROPN
ajst-29854	163	15	,	,	PUNCT
ajst-29854	163	16	and	and	CCONJ
ajst-29854	163	17	y.	y.	PROPN
ajst-29854	163	18	zhang	zhang	PROPN
ajst-29854	163	19	,	,	PUNCT
ajst-29854	163	20	“	"	PUNCT
ajst-29854	163	21	a	a	DET
ajst-29854	163	22	computationally	computationally	ADV
ajst-29854	163	23	efficient	efficient	ADJ
ajst-29854	163	24	outlier	outlier	NOUN
ajst-29854	163	25	-	-	PUNCT
ajst-29854	163	26	robust	robust	ADJ
ajst-29854	163	27	cubature	cubature	NOUN
ajst-29854	163	28	kalman	kalman	NOUN
ajst-29854	163	29	filter	filter	NOUN
ajst-29854	163	30	for	for	ADP
ajst-29854	163	31	underwater	underwater	ADJ
ajst-29854	163	32	gravity	gravity	NOUN
ajst-29854	163	33	matching	matching	NOUN
ajst-29854	163	34	navigation	navigation	NOUN
ajst-29854	163	35	,	,	PUNCT
ajst-29854	163	36	”	"	PUNCT
ajst-29854	163	37	ieee	ieee	NOUN
ajst-29854	163	38	trans	tran	NOUN
ajst-29854	163	39	.	.	PUNCT
ajst-29854	164	1	instrum	instrum	PROPN
ajst-29854	164	2	.	.	PUNCT
ajst-29854	165	1	meas	meas	PROPN
ajst-29854	165	2	.	.	PUNCT
ajst-29854	166	1	,	,	PUNCT
ajst-29854	166	2	vol	vol	NOUN
ajst-29854	166	3	.	.	PROPN
ajst-29854	167	1	71	71	NUM
ajst-29854	167	2	,	,	PUNCT
ajst-29854	167	3	pp	pp	ADJ
ajst-29854	167	4	.	.	PUNCT
ajst-29854	168	1	1–18	1–18	NUM
ajst-29854	168	2	,	,	PUNCT
ajst-29854	168	3	2022	2022	NUM
ajst-29854	168	4	,	,	PUNCT
ajst-29854	168	5	doi	doi	NOUN
ajst-29854	168	6	:	:	PUNCT
ajst-29854	168	7	10.1109	10.1109	NUM
ajst-29854	168	8	/	/	SYM
ajst-29854	168	9	tim.2022.3141153	tim.2022.3141153	NOUN
ajst-29854	168	10	.	.	PUNCT
ajst-29854	169	1	[	[	X
ajst-29854	169	2	4	4	X
ajst-29854	169	3	]	]	X
ajst-29854	169	4	w.	w.	PROPN
ajst-29854	169	5	ai	ai	PROPN
ajst-29854	169	6	,	,	PUNCT
ajst-29854	169	7	s.	s.	PROPN
ajst-29854	169	8	zhong	zhong	PROPN
ajst-29854	169	9	,	,	PUNCT
ajst-29854	169	10	y.	y.	PROPN
ajst-29854	169	11	leng	leng	PROPN
ajst-29854	169	12	,	,	PUNCT
ajst-29854	169	13	and	and	CCONJ
ajst-29854	169	14	s.	s.	PROPN
ajst-29854	169	15	wang	wang	PROPN
ajst-29854	169	16	,	,	PUNCT
ajst-29854	169	17	“	"	PUNCT
ajst-29854	169	18	a	a	DET
ajst-29854	169	19	real	real	ADJ
ajst-29854	169	20	-	-	PUNCT
ajst-29854	169	21	time	time	NOUN
ajst-29854	169	22	autonomous	autonomous	ADJ
ajst-29854	169	23	gravity	gravity	NOUN
ajst-29854	169	24	measurement	measurement	NOUN
ajst-29854	169	25	method	method	NOUN
ajst-29854	169	26	for	for	ADP
ajst-29854	169	27	underwater	underwater	ADJ
ajst-29854	169	28	gravity	gravity	NOUN
ajst-29854	169	29	-	-	PUNCT
ajst-29854	169	30	aided	aid	VERB
ajst-29854	169	31	navigation	navigation	NOUN
ajst-29854	169	32	,	,	PUNCT
ajst-29854	169	33	”	"	PUNCT
ajst-29854	169	34	ieee	ieee	NOUN
ajst-29854	169	35	access	access	NOUN
ajst-29854	169	36	,	,	PUNCT
ajst-29854	169	37	vol	vol	NOUN
ajst-29854	169	38	.	.	PROPN
ajst-29854	169	39	11	11	NUM
ajst-29854	169	40	,	,	PUNCT
ajst-29854	169	41	pp	pp	ADJ
ajst-29854	169	42	.	.	PUNCT
ajst-29854	169	43	135728–135737	135728–135737	NUM
ajst-29854	169	44	,	,	PUNCT
ajst-29854	169	45	2023	2023	NUM
ajst-29854	169	46	,	,	PUNCT
ajst-29854	169	47	doi	doi	NOUN
ajst-29854	169	48	:	:	PUNCT
ajst-29854	169	49	10.1109	10.1109	NUM
ajst-29854	169	50	/	/	SYM
ajst-29854	169	51	access.2023.3338537	access.2023.3338537	PROPN
ajst-29854	169	52	.	.	PUNCT
ajst-29854	170	1	[	[	X
ajst-29854	170	2	5	5	NUM
ajst-29854	170	3	]	]	X
ajst-29854	170	4	xiao	xiao	PROPN
ajst-29854	170	5	,	,	PUNCT
ajst-29854	170	6	y	y	PROPN
ajst-29854	170	7	,	,	PUNCT
ajst-29854	170	8	zhang	zhang	PROPN
ajst-29854	170	9	,	,	PUNCT
ajst-29854	170	10	y.j	y.j	PROPN
ajst-29854	170	11	,	,	PUNCT
ajst-29854	170	12	cao	cao	PROPN
ajst-29854	170	13	,	,	PUNCT
ajst-29854	170	14	j	j	PROPN
ajst-29854	170	15	,	,	PUNCT
ajst-29854	170	16	chen	chen	PROPN
ajst-29854	170	17	,	,	PUNCT
ajst-29854	170	18	k.n	k.n	PROPN
ajst-29854	170	19	,	,	PUNCT
ajst-29854	170	20	wang	wang	PROPN
ajst-29854	170	21	,	,	PUNCT
ajst-29854	170	22	y.k	y.k	PROPN
ajst-29854	170	23	,	,	PUNCT
ajst-29854	170	24	and	and	CCONJ
ajst-29854	170	25	hong	hong	PROPN
ajst-29854	170	26	,	,	PUNCT
ajst-29854	170	27	x.d	x.d	PROPN
ajst-29854	170	28	,	,	PUNCT
ajst-29854	170	29	“	"	PUNCT
ajst-29854	170	30	suitability	suitability	NOUN
ajst-29854	170	31	analysis	analysis	NOUN
ajst-29854	170	32	of	of	ADP
ajst-29854	170	33	gravity	gravity	NOUN
ajst-29854	170	34	matching	matching	NOUN
ajst-29854	170	35	navigation	navigation	NOUN
ajst-29854	170	36	based	base	VERB
ajst-29854	170	37	on	on	ADP
ajst-29854	170	38	multiple	multiple	ADJ
ajst-29854	170	39	attribute	attribute	NOUN
ajst-29854	170	40	decision	decision	NOUN
ajst-29854	170	41	making	make	VERB
ajst-29854	170	42	theory	theory	NOUN
ajst-29854	170	43	,	,	PUNCT
ajst-29854	170	44	”	"	PUNCT
ajst-29854	170	45	geomatics	geomatics	NOUN
ajst-29854	170	46	and	and	CCONJ
ajst-29854	170	47	information	information	NOUN
ajst-29854	170	48	science	science	NOUN
ajst-29854	170	49	of	of	ADP
ajst-29854	170	50	wuhan	wuhan	PROPN
ajst-29854	170	51	university	university	PROPN
ajst-29854	170	52	,	,	PUNCT
ajst-29854	170	53	vol	vol	NOUN
ajst-29854	170	54	.	.	PROPN
ajst-29854	170	55	48	48	NUM
ajst-29854	170	56	,	,	PUNCT
ajst-29854	170	57	no	no	INTJ
ajst-29854	170	58	.	.	NOUN
ajst-29854	170	59	7	7	NUM
ajst-29854	170	60	,	,	PUNCT
ajst-29854	170	61	pp	pp	ADJ
ajst-29854	170	62	.	.	PUNCT
ajst-29854	170	63	1089–1099	1089–1099	NUM
ajst-29854	170	64	,	,	PUNCT
ajst-29854	170	65	2023	2023	NUM
ajst-29854	170	66	,	,	PUNCT
ajst-29854	170	67	doi	doi	NOUN
ajst-29854	170	68	:	:	PUNCT
ajst-29854	170	69	10.13203	10.13203	NUM
ajst-29854	170	70	/	/	SYM
ajst-29854	170	71	j.whugis20230073	j.whugis20230073	PROPN
ajst-29854	170	72	.	.	PUNCT
ajst-29854	171	1	[	[	X
ajst-29854	171	2	6	6	NUM
ajst-29854	171	3	]	]	PUNCT
ajst-29854	171	4	m.	m.	NOUN
ajst-29854	171	5	a.	a.	NOUN
ajst-29854	171	6	ganaie	ganaie	PROPN
ajst-29854	171	7	and	and	CCONJ
ajst-29854	171	8	m.	m.	PROPN
ajst-29854	171	9	tanveer	tanveer	PROPN
ajst-29854	171	10	,	,	PUNCT
ajst-29854	171	11	“	"	PUNCT
ajst-29854	171	12	knn	knn	PROPN
ajst-29854	171	13	weighted	weight	VERB
ajst-29854	171	14	reduced	reduce	VERB
ajst-29854	171	15	universum	universum	PROPN
ajst-29854	171	16	twin	twin	PROPN
ajst-29854	171	17	svm	svm	PROPN
ajst-29854	171	18	for	for	ADP
ajst-29854	171	19	class	class	NOUN
ajst-29854	171	20	imbalance	imbalance	NOUN
ajst-29854	171	21	learning	learning	NOUN
ajst-29854	171	22	,	,	PUNCT
ajst-29854	171	23	”	"	PUNCT
ajst-29854	171	24	knowledge	knowledge	NOUN
ajst-29854	171	25	-	-	PUNCT
ajst-29854	171	26	based	base	VERB
ajst-29854	171	27	systems	system	NOUN
ajst-29854	171	28	,	,	PUNCT
ajst-29854	171	29	vol	vol	NOUN
ajst-29854	171	30	.	.	PROPN
ajst-29854	171	31	245	245	NUM
ajst-29854	171	32	,	,	PUNCT
ajst-29854	171	33	p.	p.	NOUN
ajst-29854	171	34	108578	108578	NUM
ajst-29854	171	35	,	,	PUNCT
ajst-29854	171	36	jun	jun	PROPN
ajst-29854	171	37	.	.	PROPN
ajst-29854	171	38	2022	2022	NUM
ajst-29854	171	39	,	,	PUNCT
ajst-29854	171	40	doi	doi	NOUN
ajst-29854	171	41	:	:	PUNCT
ajst-29854	171	42	10.1016	10.1016	NUM
ajst-29854	171	43	/	/	SYM
ajst-29854	171	44	j.knosys.2022.108578	j.knosys.2022.108578	PROPN
ajst-29854	171	45	.	.	PUNCT
ajst-29854	172	1	[	[	X
ajst-29854	172	2	7	7	X
ajst-29854	172	3	]	]	PUNCT
ajst-29854	172	4	v.	v.	ADP
ajst-29854	172	5	ranaee	ranaee	NOUN
ajst-29854	172	6	,	,	PUNCT
ajst-29854	172	7	a.	a.	NOUN
ajst-29854	172	8	ebrahimzadeh	ebrahimzadeh	NOUN
ajst-29854	172	9	,	,	PUNCT
ajst-29854	172	10	and	and	CCONJ
ajst-29854	172	11	r.	r.	PROPN
ajst-29854	172	12	ghaderi	ghaderi	PROPN
ajst-29854	172	13	,	,	PUNCT
ajst-29854	172	14	“	"	PUNCT
ajst-29854	172	15	application	application	NOUN
ajst-29854	172	16	of	of	ADP
ajst-29854	172	17	the	the	DET
ajst-29854	172	18	pso	pso	NOUN
ajst-29854	172	19	–	–	PUNCT
ajst-29854	172	20	svm	svm	ADJ
ajst-29854	172	21	model	model	NOUN
ajst-29854	172	22	for	for	ADP
ajst-29854	172	23	recognition	recognition	NOUN
ajst-29854	172	24	of	of	ADP
ajst-29854	172	25	control	control	PROPN
ajst-29854	172	26	chart	chart	NOUN
ajst-29854	172	27	patterns	pattern	NOUN
ajst-29854	172	28	,	,	PUNCT
ajst-29854	172	29	”	"	PUNCT
ajst-29854	172	30	isa	isa	NOUN
ajst-29854	172	31	transactions	transaction	NOUN
ajst-29854	172	32	,	,	PUNCT
ajst-29854	172	33	vol	vol	NOUN
ajst-29854	172	34	.	.	PROPN
ajst-29854	172	35	49	49	NUM
ajst-29854	172	36	,	,	PUNCT
ajst-29854	172	37	no	no	INTJ
ajst-29854	172	38	.	.	NOUN
ajst-29854	172	39	4	4	NUM
ajst-29854	172	40	,	,	PUNCT
ajst-29854	172	41	pp	pp	ADJ
ajst-29854	172	42	.	.	PUNCT
ajst-29854	173	1	577–586	577–586	NUM
ajst-29854	173	2	,	,	PUNCT
ajst-29854	173	3	oct	oct	PROPN
ajst-29854	173	4	.	.	PROPN
ajst-29854	173	5	2010	2010	NUM
ajst-29854	173	6	,	,	PUNCT
ajst-29854	173	7	doi	doi	NOUN
ajst-29854	173	8	:	:	PUNCT
ajst-29854	173	9	10.1016	10.1016	NUM
ajst-29854	173	10	/	/	SYM
ajst-29854	173	11	j.isatra.2010.06.005	j.isatra.2010.06.005	PROPN
ajst-29854	173	12	.	.	PUNCT
ajst-29854	174	1	[	[	X
ajst-29854	174	2	8	8	NUM
ajst-29854	174	3	]	]	X
ajst-29854	174	4	g.	g.	PROPN
ajst-29854	174	5	acampora	acampora	PROPN
ajst-29854	174	6	,	,	PUNCT
ajst-29854	174	7	a.	a.	NOUN
ajst-29854	174	8	chiatto	chiatto	NOUN
ajst-29854	174	9	,	,	PUNCT
ajst-29854	174	10	and	and	CCONJ
ajst-29854	174	11	a.	a.	PROPN
ajst-29854	174	12	vitiello	vitiello	PROPN
ajst-29854	174	13	,	,	PUNCT
ajst-29854	174	14	“	"	PUNCT
ajst-29854	174	15	genetic	genetic	ADJ
ajst-29854	174	16	algorithms	algorithm	NOUN
ajst-29854	174	17	as	as	ADP
ajst-29854	174	18	classical	classical	ADJ
ajst-29854	174	19	optimizer	optimizer	NOUN
ajst-29854	174	20	for	for	ADP
ajst-29854	174	21	the	the	DET
ajst-29854	174	22	quantum	quantum	ADJ
ajst-29854	174	23	approximate	approximate	ADJ
ajst-29854	174	24	optimization	optimization	NOUN
ajst-29854	174	25	algorithm	algorithm	NOUN
ajst-29854	174	26	,	,	PUNCT
ajst-29854	174	27	”	"	PUNCT
ajst-29854	174	28	2023	2023	NUM
ajst-29854	174	29	.	.	PUNCT
ajst-29854	175	1	[	[	X
ajst-29854	175	2	9	9	NUM
ajst-29854	175	3	]	]	X
ajst-29854	175	4	[	[	X
ajst-29854	175	5	9	9	NUM
ajst-29854	175	6	]	]	X
ajst-29854	175	7	b.	b.	PROPN
ajst-29854	175	8	alhijawi	alhijawi	PROPN
ajst-29854	175	9	,	,	PUNCT
ajst-29854	175	10	“	"	PUNCT
ajst-29854	175	11	genetic	genetic	ADJ
ajst-29854	175	12	algorithms	algorithm	NOUN
ajst-29854	175	13	:	:	PUNCT
ajst-29854	175	14	theory	theory	NOUN
ajst-29854	175	15	,	,	PUNCT
ajst-29854	175	16	genetic	genetic	ADJ
ajst-29854	175	17	operators	operator	NOUN
ajst-29854	175	18	,	,	PUNCT
ajst-29854	175	19	solutions	solution	NOUN
ajst-29854	175	20	,	,	PUNCT
ajst-29854	175	21	and	and	CCONJ
ajst-29854	175	22	applications	application	NOUN
ajst-29854	175	23	”	"	PUNCT
ajst-29854	175	24	.	.	PUNCT
ajst-29854	176	1	[	[	X
ajst-29854	176	2	10	10	NUM
ajst-29854	176	3	]	]	X
ajst-29854	176	4	v.	v.	ADP
ajst-29854	176	5	vapnik	vapnik	X
ajst-29854	176	6	,	,	PUNCT
ajst-29854	176	7	s.	s.	PROPN
ajst-29854	176	8	e.	e.	PROPN
ajst-29854	176	9	golowich	golowich	PROPN
ajst-29854	176	10	,	,	PUNCT
ajst-29854	176	11	and	and	CCONJ
ajst-29854	176	12	a.	a.	PROPN
ajst-29854	176	13	j.	j.	PROPN
ajst-29854	176	14	smola	smola	PROPN
ajst-29854	176	15	,	,	PUNCT
ajst-29854	176	16	“	"	PUNCT
ajst-29854	176	17	support	support	NOUN
ajst-29854	176	18	vector	vector	NOUN
ajst-29854	176	19	method	method	NOUN
ajst-29854	176	20	for	for	ADP
ajst-29854	176	21	function	function	NOUN
ajst-29854	176	22	approximation	approximation	NOUN
ajst-29854	176	23	,	,	PUNCT
ajst-29854	176	24	regression	regression	NOUN
ajst-29854	176	25	estimation	estimation	NOUN
ajst-29854	176	26	and	and	CCONJ
ajst-29854	176	27	signal	signal	NOUN
ajst-29854	176	28	processing	processing	NOUN
ajst-29854	176	29	”	"	PUNCT
ajst-29854	176	30	.	.	PUNCT