id	sid	tid	token	lemma	pos
esrj-78880	1	1	keywords	keyword	NOUN
esrj-78880	1	2	:	:	PUNCT
esrj-78880	1	3	gps	gps	NOUN
esrj-78880	1	4	;	;	PUNCT
esrj-78880	1	5	gnss	gns	NOUN
esrj-78880	1	6	;	;	PUNCT
esrj-78880	1	7	point	point	NOUN
esrj-78880	1	8	positioning	positioning	NOUN
esrj-78880	1	9	;	;	PUNCT
esrj-78880	1	10	ann	ann	PROPN
esrj-78880	1	11	;	;	PUNCT
esrj-78880	1	12	estimation	estimation	NOUN
esrj-78880	1	13	of	of	ADP
esrj-78880	1	14	the	the	DET
esrj-78880	1	15	l2	l2	NOUN
esrj-78880	1	16	carrier	carrier	NOUN
esrj-78880	1	17	observables	observable	NOUN
esrj-78880	1	18	.	.	PUNCT
esrj-78880	2	1	palabras	palabras	PROPN
esrj-78880	2	2	clave	clave	PROPN
esrj-78880	2	3	:	:	PUNCT
esrj-78880	2	4	gps	gps	NOUN
esrj-78880	2	5	;	;	PUNCT
esrj-78880	2	6	gnss	gnss	NOUN
esrj-78880	2	7	;	;	PUNCT
esrj-78880	2	8	posicionamiento	posicionamiento	NOUN
esrj-78880	2	9	;	;	PUNCT
esrj-78880	2	10	red	red	ADJ
esrj-78880	2	11	artificial	artificial	ADJ
esrj-78880	2	12	neuronal	neuronal	NOUN
esrj-78880	2	13	;	;	PUNCT
esrj-78880	2	14	estimación	estimación	X
esrj-78880	2	15	de	de	X
esrj-78880	2	16	los	los	PROPN
esrj-78880	2	17	observables	observable	NOUN
esrj-78880	2	18	l2	l2	NOUN
esrj-78880	2	19	.	.	PUNCT
esrj-78880	3	1	how	how	SCONJ
esrj-78880	3	2	to	to	PART
esrj-78880	3	3	cite	cite	VERB
esrj-78880	3	4	item	item	NOUN
esrj-78880	3	5	carletti	carletti	PROPN
esrj-78880	3	6	negri	negri	NOUN
esrj-78880	3	7	,	,	PUNCT
esrj-78880	3	8	c.	c.	PROPN
esrj-78880	3	9	v.	v.	PROPN
esrj-78880	3	10	,	,	PUNCT
esrj-78880	3	11	&	&	CCONJ
esrj-78880	3	12	lima	lima	PROPN
esrj-78880	3	13	segantine	segantine	NOUN
esrj-78880	3	14	,	,	PUNCT
esrj-78880	3	15	p.	p.	PROPN
esrj-78880	3	16	c.	c.	PROPN
esrj-78880	3	17	(	(	PUNCT
esrj-78880	3	18	2020	2020	NUM
esrj-78880	3	19	)	)	PUNCT
esrj-78880	3	20	.	.	PUNCT
esrj-78880	4	1	estimation	estimation	NOUN
esrj-78880	4	2	of	of	ADP
esrj-78880	4	3	gps	gps	PROPN
esrj-78880	4	4	l2	l2	NOUN
esrj-78880	4	5	signal	signal	NOUN
esrj-78880	4	6	observables	observable	NOUN
esrj-78880	4	7	using	use	VERB
esrj-78880	4	8	multilayer	multilayer	ADJ
esrj-78880	4	9	perceptron	perceptron	PROPN
esrj-78880	4	10	artificial	artificial	ADJ
esrj-78880	4	11	neural	neural	ADJ
esrj-78880	4	12	network	network	NOUN
esrj-78880	4	13	for	for	ADP
esrj-78880	4	14	positional	positional	ADJ
esrj-78880	4	15	accuracy	accuracy	NOUN
esrj-78880	4	16	improvement	improvement	NOUN
esrj-78880	4	17	.	.	PUNCT
esrj-78880	5	1	earth	earth	PROPN
esrj-78880	5	2	sciences	sciences	PROPN
esrj-78880	5	3	research	research	PROPN
esrj-78880	5	4	journal	journal	PROPN
esrj-78880	5	5	,	,	PUNCT
esrj-78880	5	6	24(1	24(1	NUM
esrj-78880	5	7	)	)	PUNCT
esrj-78880	5	8	,	,	PUNCT
esrj-78880	5	9	97	97	NUM
esrj-78880	5	10	-	-	SYM
esrj-78880	5	11	103	103	NUM
esrj-78880	5	12	.	.	PUNCT
esrj-78880	6	1	doi	doi	NOUN
esrj-78880	6	2	:	:	PUNCT
esrj-78880	6	3	https://doi.org/10.15446/esrj.v24n1.78880	https://doi.org/10.15446/esrj.v24n1.78880	VERB
esrj-78880	6	4	in	in	ADP
esrj-78880	6	5	recent	recent	ADJ
esrj-78880	6	6	decades	decade	NOUN
esrj-78880	6	7	,	,	PUNCT
esrj-78880	6	8	due	due	ADP
esrj-78880	6	9	to	to	ADP
esrj-78880	6	10	the	the	DET
esrj-78880	6	11	increasing	increase	VERB
esrj-78880	6	12	mobility	mobility	NOUN
esrj-78880	6	13	of	of	ADP
esrj-78880	6	14	people	people	NOUN
esrj-78880	6	15	and	and	CCONJ
esrj-78880	6	16	goods	good	NOUN
esrj-78880	6	17	,	,	PUNCT
esrj-78880	6	18	the	the	DET
esrj-78880	6	19	rapid	rapid	ADJ
esrj-78880	6	20	growth	growth	NOUN
esrj-78880	6	21	of	of	ADP
esrj-78880	6	22	users	user	NOUN
esrj-78880	6	23	of	of	ADP
esrj-78880	6	24	mobile	mobile	ADJ
esrj-78880	6	25	devices	device	NOUN
esrj-78880	6	26	with	with	ADP
esrj-78880	6	27	location	location	NOUN
esrj-78880	6	28	-	-	PUNCT
esrj-78880	6	29	based	base	VERB
esrj-78880	6	30	services	service	NOUN
esrj-78880	6	31	has	have	AUX
esrj-78880	6	32	increased	increase	VERB
esrj-78880	6	33	the	the	DET
esrj-78880	6	34	need	need	NOUN
esrj-78880	6	35	for	for	ADP
esrj-78880	6	36	geospatial	geospatial	ADJ
esrj-78880	6	37	information	information	NOUN
esrj-78880	6	38	.	.	PUNCT
esrj-78880	7	1	in	in	ADP
esrj-78880	7	2	this	this	DET
esrj-78880	7	3	context	context	NOUN
esrj-78880	7	4	,	,	PUNCT
esrj-78880	7	5	positioning	positioning	NOUN
esrj-78880	7	6	using	use	VERB
esrj-78880	7	7	data	datum	NOUN
esrj-78880	7	8	collected	collect	VERB
esrj-78880	7	9	by	by	ADP
esrj-78880	7	10	the	the	DET
esrj-78880	7	11	global	global	PROPN
esrj-78880	7	12	navigation	navigation	PROPN
esrj-78880	7	13	satellite	satellite	NOUN
esrj-78880	7	14	systems	system	NOUN
esrj-78880	7	15	(	(	PUNCT
esrj-78880	7	16	multi	multi	ADJ
esrj-78880	7	17	-	-	NOUN
esrj-78880	7	18	gnss	gnss	NOUN
esrj-78880	7	19	)	)	PUNCT
esrj-78880	7	20	has	have	AUX
esrj-78880	7	21	gained	gain	VERB
esrj-78880	7	22	more	more	ADJ
esrj-78880	7	23	importance	importance	NOUN
esrj-78880	7	24	in	in	ADP
esrj-78880	7	25	the	the	DET
esrj-78880	7	26	field	field	NOUN
esrj-78880	7	27	of	of	ADP
esrj-78880	7	28	geomatics	geomatics	PROPN
esrj-78880	7	29	.	.	PUNCT
esrj-78880	8	1	the	the	DET
esrj-78880	8	2	quality	quality	NOUN
esrj-78880	8	3	of	of	ADP
esrj-78880	8	4	the	the	DET
esrj-78880	8	5	solutions	solution	NOUN
esrj-78880	8	6	is	be	AUX
esrj-78880	8	7	related	relate	VERB
esrj-78880	8	8	,	,	PUNCT
esrj-78880	8	9	among	among	ADP
esrj-78880	8	10	other	other	ADJ
esrj-78880	8	11	factors	factor	NOUN
esrj-78880	8	12	,	,	PUNCT
esrj-78880	8	13	to	to	ADP
esrj-78880	8	14	the	the	DET
esrj-78880	8	15	receiver	receiver	NOUN
esrj-78880	8	16	’s	’s	PART
esrj-78880	8	17	type	type	NOUN
esrj-78880	8	18	used	use	VERB
esrj-78880	8	19	in	in	ADP
esrj-78880	8	20	the	the	DET
esrj-78880	8	21	work	work	NOUN
esrj-78880	8	22	.	.	PUNCT
esrj-78880	9	1	to	to	PART
esrj-78880	9	2	improve	improve	VERB
esrj-78880	9	3	the	the	DET
esrj-78880	9	4	positioning	positioning	NOUN
esrj-78880	9	5	with	with	ADP
esrj-78880	9	6	low	low	ADJ
esrj-78880	9	7	-	-	PUNCT
esrj-78880	9	8	cost	cost	NOUN
esrj-78880	9	9	devices	device	NOUN
esrj-78880	9	10	and	and	CCONJ
esrj-78880	9	11	to	to	PART
esrj-78880	9	12	avoid	avoid	VERB
esrj-78880	9	13	additional	additional	ADJ
esrj-78880	9	14	user	user	NOUN
esrj-78880	9	15	expenses	expense	NOUN
esrj-78880	9	16	,	,	PUNCT
esrj-78880	9	17	this	this	DET
esrj-78880	9	18	work	work	NOUN
esrj-78880	9	19	aims	aim	VERB
esrj-78880	9	20	to	to	PART
esrj-78880	9	21	propose	propose	VERB
esrj-78880	9	22	the	the	DET
esrj-78880	9	23	implementation	implementation	NOUN
esrj-78880	9	24	of	of	ADP
esrj-78880	9	25	an	an	DET
esrj-78880	9	26	artificial	artificial	ADJ
esrj-78880	9	27	neural	neural	ADJ
esrj-78880	9	28	network	network	NOUN
esrj-78880	9	29	(	(	PUNCT
esrj-78880	9	30	ann	ann	PROPN
esrj-78880	9	31	)	)	PUNCT
esrj-78880	9	32	to	to	PART
esrj-78880	9	33	estimate	estimate	VERB
esrj-78880	9	34	the	the	DET
esrj-78880	9	35	gps	gps	PROPN
esrj-78880	9	36	l2	l2	NOUN
esrj-78880	9	37	carrier	carrier	NOUN
esrj-78880	9	38	observables	observable	NOUN
esrj-78880	9	39	.	.	PUNCT
esrj-78880	10	1	for	for	ADP
esrj-78880	10	2	this	this	PRON
esrj-78880	10	3	,	,	PUNCT
esrj-78880	10	4	a	a	DET
esrj-78880	10	5	network	network	NOUN
esrj-78880	10	6	model	model	NOUN
esrj-78880	10	7	was	be	AUX
esrj-78880	10	8	selected	select	VERB
esrj-78880	10	9	through	through	ADP
esrj-78880	10	10	the	the	DET
esrj-78880	10	11	cross	cross	NOUN
esrj-78880	10	12	-	-	NOUN
esrj-78880	10	13	validation	validation	ADJ
esrj-78880	10	14	(	(	PUNCT
esrj-78880	10	15	cv	cv	NOUN
esrj-78880	10	16	)	)	PUNCT
esrj-78880	10	17	technique	technique	NOUN
esrj-78880	10	18	,	,	PUNCT
esrj-78880	10	19	the	the	DET
esrj-78880	10	20	observations	observation	NOUN
esrj-78880	10	21	were	be	AUX
esrj-78880	10	22	estimated	estimate	VERB
esrj-78880	10	23	,	,	PUNCT
esrj-78880	10	24	and	and	CCONJ
esrj-78880	10	25	the	the	DET
esrj-78880	10	26	accuracy	accuracy	NOUN
esrj-78880	10	27	of	of	ADP
esrj-78880	10	28	the	the	DET
esrj-78880	10	29	solutions	solution	NOUN
esrj-78880	10	30	was	be	AUX
esrj-78880	10	31	analyzed	analyze	VERB
esrj-78880	10	32	.	.	PUNCT
esrj-78880	11	1	the	the	DET
esrj-78880	11	2	cv	cv	PROPN
esrj-78880	11	3	technique	technique	NOUN
esrj-78880	11	4	demonstrated	demonstrate	VERB
esrj-78880	11	5	that	that	SCONJ
esrj-78880	11	6	a	a	DET
esrj-78880	11	7	multilayer	multilayer	ADJ
esrj-78880	11	8	perceptron	perceptron	NOUN
esrj-78880	11	9	with	with	ADP
esrj-78880	11	10	four	four	NUM
esrj-78880	11	11	intermediate	intermediate	ADJ
esrj-78880	11	12	layers	layer	NOUN
esrj-78880	11	13	and	and	CCONJ
esrj-78880	11	14	one	one	NUM
esrj-78880	11	15	with	with	ADP
esrj-78880	11	16	one	one	NUM
esrj-78880	11	17	intermediate	intermediate	ADJ
esrj-78880	11	18	layer	layer	NOUN
esrj-78880	11	19	are	be	AUX
esrj-78880	11	20	the	the	DET
esrj-78880	11	21	most	most	ADV
esrj-78880	11	22	appropriate	appropriate	ADJ
esrj-78880	11	23	configurations	configuration	NOUN
esrj-78880	11	24	for	for	ADP
esrj-78880	11	25	this	this	DET
esrj-78880	11	26	problem	problem	NOUN
esrj-78880	11	27	.	.	PUNCT
esrj-78880	12	1	the	the	DET
esrj-78880	12	2	dual	dual	ADJ
esrj-78880	12	3	-	-	PUNCT
esrj-78880	12	4	frequency	frequency	NOUN
esrj-78880	12	5	rinex	rinex	NOUN
esrj-78880	12	6	processing	processing	NOUN
esrj-78880	12	7	(	(	PUNCT
esrj-78880	12	8	with	with	ADP
esrj-78880	12	9	artificial	artificial	ADJ
esrj-78880	12	10	data	datum	NOUN
esrj-78880	12	11	)	)	PUNCT
esrj-78880	12	12	revealed	reveal	VERB
esrj-78880	12	13	significant	significant	ADJ
esrj-78880	12	14	improvements	improvement	NOUN
esrj-78880	12	15	.	.	PUNCT
esrj-78880	13	1	for	for	ADP
esrj-78880	13	2	some	some	DET
esrj-78880	13	3	tests	test	NOUN
esrj-78880	13	4	,	,	PUNCT
esrj-78880	13	5	it	it	PRON
esrj-78880	13	6	was	be	AUX
esrj-78880	13	7	possible	possible	ADJ
esrj-78880	13	8	to	to	PART
esrj-78880	13	9	comply	comply	VERB
esrj-78880	13	10	with	with	ADP
esrj-78880	13	11	the	the	DET
esrj-78880	13	12	rural	rural	ADJ
esrj-78880	13	13	property	property	NOUN
esrj-78880	13	14	georeferencing	georeferencing	NOUN
esrj-78880	13	15	regulations	regulation	NOUN
esrj-78880	13	16	of	of	ADP
esrj-78880	13	17	the	the	DET
esrj-78880	13	18	brazilian	brazilian	ADJ
esrj-78880	13	19	national	national	PROPN
esrj-78880	13	20	institute	institute	PROPN
esrj-78880	13	21	of	of	ADP
esrj-78880	13	22	colonization	colonization	NOUN
esrj-78880	13	23	and	and	CCONJ
esrj-78880	13	24	agrarian	agrarian	ADJ
esrj-78880	13	25	reform	reform	NOUN
esrj-78880	13	26	(	(	PUNCT
esrj-78880	13	27	incra	incra	PROPN
esrj-78880	13	28	)	)	PUNCT
esrj-78880	13	29	.	.	PUNCT
esrj-78880	14	1	the	the	DET
esrj-78880	14	2	results	result	NOUN
esrj-78880	14	3	indicate	indicate	VERB
esrj-78880	14	4	,	,	PUNCT
esrj-78880	14	5	therefore	therefore	ADV
esrj-78880	14	6	,	,	PUNCT
esrj-78880	14	7	that	that	SCONJ
esrj-78880	14	8	the	the	DET
esrj-78880	14	9	methodological	methodological	ADJ
esrj-78880	14	10	proposal	proposal	NOUN
esrj-78880	14	11	of	of	ADP
esrj-78880	14	12	the	the	DET
esrj-78880	14	13	present	present	ADJ
esrj-78880	14	14	investigation	investigation	NOUN
esrj-78880	14	15	is	be	AUX
esrj-78880	14	16	very	very	ADV
esrj-78880	14	17	promising	promising	ADJ
esrj-78880	14	18	for	for	ADP
esrj-78880	14	19	approximating	approximate	VERB
esrj-78880	14	20	the	the	DET
esrj-78880	14	21	quality	quality	NOUN
esrj-78880	14	22	of	of	ADP
esrj-78880	14	23	positioning	positioning	NOUN
esrj-78880	14	24	reachable	reachable	ADJ
esrj-78880	14	25	using	use	VERB
esrj-78880	14	26	a	a	DET
esrj-78880	14	27	dual	dual	ADJ
esrj-78880	14	28	-	-	PUNCT
esrj-78880	14	29	frequency	frequency	NOUN
esrj-78880	14	30	receiver	receiver	NOUN
esrj-78880	14	31	.	.	PUNCT
esrj-78880	15	1	abstract	abstract	ADJ
esrj-78880	15	2	estimation	estimation	NOUN
esrj-78880	15	3	of	of	ADP
esrj-78880	15	4	gps	gps	PROPN
esrj-78880	15	5	l2	l2	NOUN
esrj-78880	15	6	signal	signal	NOUN
esrj-78880	15	7	observables	observable	NOUN
esrj-78880	15	8	using	use	VERB
esrj-78880	15	9	multilayer	multilayer	ADJ
esrj-78880	15	10	perceptron	perceptron	PROPN
esrj-78880	15	11	artificial	artificial	ADJ
esrj-78880	15	12	neural	neural	ADJ
esrj-78880	15	13	network	network	NOUN
esrj-78880	15	14	for	for	ADP
esrj-78880	15	15	positional	positional	ADJ
esrj-78880	15	16	accuracy	accuracy	NOUN
esrj-78880	15	17	improvement	improvement	NOUN
esrj-78880	15	18	estimación	estimación	X
esrj-78880	15	19	de	de	X
esrj-78880	15	20	los	los	PROPN
esrj-78880	15	21	observables	observables	PROPN
esrj-78880	15	22	de	de	X
esrj-78880	15	23	señal	señal	NOUN
esrj-78880	15	24	gps	gps	PROPN
esrj-78880	15	25	l2	l2	NOUN
esrj-78880	15	26	utilizando	utilizando	PROPN
esrj-78880	15	27	redes	redes	PROPN
esrj-78880	15	28	neuronales	neuronales	PROPN
esrj-78880	15	29	artificiales	artificiales	PROPN
esrj-78880	15	30	de	de	PROPN
esrj-78880	15	31	perceptrón	perceptrón	PROPN
esrj-78880	15	32	multicapa	multicapa	VERB
esrj-78880	15	33	para	para	NOUN
esrj-78880	15	34	mejorar	mejorar	NOUN
esrj-78880	15	35	la	la	X
esrj-78880	15	36	precisión	precisión	PROPN
esrj-78880	15	37	posicional	posicional	PROPN
esrj-78880	15	38	issn	issn	PROPN
esrj-78880	15	39	1794	1794	NUM
esrj-78880	15	40	-	-	SYM
esrj-78880	15	41	6190	6190	NUM
esrj-78880	15	42	e	e	NOUN
esrj-78880	15	43	-	-	NOUN
esrj-78880	15	44	issn	issn	PROPN
esrj-78880	15	45	2339	2339	NUM
esrj-78880	15	46	-	-	SYM
esrj-78880	15	47	3459	3459	NUM
esrj-78880	15	48	https://doi.org/10.15446/esrj.v24n1.78880	https://doi.org/10.15446/esrj.v24n1.78880	X
esrj-78880	15	49	en	en	X
esrj-78880	15	50	las	las	PROPN
esrj-78880	15	51	últimas	últimas	PROPN
esrj-78880	15	52	décadas	décadas	PROPN
esrj-78880	15	53	,	,	PUNCT
esrj-78880	15	54	debido	debido	X
esrj-78880	15	55	a	a	PROPN
esrj-78880	15	56	la	la	PROPN
esrj-78880	15	57	creciente	creciente	PROPN
esrj-78880	15	58	movilidad	movilidad	PROPN
esrj-78880	15	59	de	de	PROPN
esrj-78880	15	60	personas	personas	PROPN
esrj-78880	15	61	y	y	PROPN
esrj-78880	15	62	bienes	bienes	PROPN
esrj-78880	15	63	,	,	PUNCT
esrj-78880	15	64	el	el	PROPN
esrj-78880	15	65	rápido	rápido	VERB
esrj-78880	15	66	crecimiento	crecimiento	PROPN
esrj-78880	15	67	de	de	PROPN
esrj-78880	15	68	los	los	PROPN
esrj-78880	15	69	usuarios	usuarios	X
esrj-78880	15	70	de	de	X
esrj-78880	15	71	dispositivos	dispositivos	X
esrj-78880	15	72	móviles	móvile	NOUN
esrj-78880	15	73	con	con	PROPN
esrj-78880	15	74	servicios	servicios	PROPN
esrj-78880	15	75	basados	basado	VERB
esrj-78880	15	76	en	en	PROPN
esrj-78880	15	77	la	la	PROPN
esrj-78880	15	78	ubicación	ubicación	PROPN
esrj-78880	15	79	ha	ha	INTJ
esrj-78880	15	80	aumentado	aumentado	PROPN
esrj-78880	15	81	la	la	X
esrj-78880	15	82	necesidad	necesidad	PROPN
esrj-78880	15	83	de	de	PROPN
esrj-78880	15	84	información	información	PROPN
esrj-78880	15	85	geoespacial	geoespacial	PROPN
esrj-78880	15	86	.	.	PUNCT
esrj-78880	16	1	en	en	ADP
esrj-78880	16	2	este	este	PROPN
esrj-78880	16	3	contexto	contexto	NOUN
esrj-78880	16	4	,	,	PUNCT
esrj-78880	16	5	el	el	PROPN
esrj-78880	16	6	posicionamiento	posicionamiento	PROPN
esrj-78880	16	7	utilizando	utilizando	PROPN
esrj-78880	16	8	los	los	PROPN
esrj-78880	16	9	datos	datos	PROPN
esrj-78880	16	10	recopilados	recopilados	PROPN
esrj-78880	16	11	por	por	PROPN
esrj-78880	16	12	los	los	PROPN
esrj-78880	16	13	sistemas	sistemas	PROPN
esrj-78880	16	14	globales	globales	PROPN
esrj-78880	16	15	de	de	X
esrj-78880	16	16	satélite	satélite	X
esrj-78880	16	17	de	de	X
esrj-78880	16	18	navegación	navegación	NOUN
esrj-78880	16	19	(	(	PUNCT
esrj-78880	16	20	multi	multi	ADJ
esrj-78880	16	21	-	-	NOUN
esrj-78880	16	22	gnss	gnss	NOUN
esrj-78880	16	23	)	)	PUNCT
esrj-78880	16	24	ha	ha	INTJ
esrj-78880	16	25	ganado	ganado	PROPN
esrj-78880	16	26	más	más	PROPN
esrj-78880	16	27	importancia	importancia	PROPN
esrj-78880	16	28	en	en	PROPN
esrj-78880	16	29	el	el	PROPN
esrj-78880	16	30	campo	campo	PROPN
esrj-78880	16	31	de	de	PROPN
esrj-78880	16	32	la	la	PROPN
esrj-78880	16	33	geomática	geomática	PROPN
esrj-78880	16	34	.	.	PUNCT
esrj-78880	17	1	la	la	PROPN
esrj-78880	17	2	calidad	calidad	PROPN
esrj-78880	17	3	de	de	PROPN
esrj-78880	17	4	las	las	PROPN
esrj-78880	17	5	soluciones	soluciones	PROPN
esrj-78880	17	6	está	está	PROPN
esrj-78880	17	7	relacionada	relacionada	PROPN
esrj-78880	17	8	,	,	PUNCT
esrj-78880	17	9	entre	entre	PROPN
esrj-78880	17	10	otros	otros	PROPN
esrj-78880	17	11	factores	factores	PROPN
esrj-78880	17	12	,	,	PUNCT
esrj-78880	17	13	con	con	PROPN
esrj-78880	17	14	el	el	PROPN
esrj-78880	17	15	tipo	tipo	PROPN
esrj-78880	17	16	de	de	PROPN
esrj-78880	17	17	receptor	receptor	PROPN
esrj-78880	17	18	utilizado	utilizado	NOUN
esrj-78880	17	19	en	en	PROPN
esrj-78880	17	20	el	el	PROPN
esrj-78880	17	21	trabajo	trabajo	PROPN
esrj-78880	17	22	.	.	PUNCT
esrj-78880	17	23	para	para	PROPN
esrj-78880	17	24	mejorar	mejorar	PROPN
esrj-78880	17	25	el	el	PROPN
esrj-78880	17	26	posicionamiento	posicionamiento	PROPN
esrj-78880	17	27	con	con	PROPN
esrj-78880	17	28	dispositivos	dispositivos	X
esrj-78880	17	29	de	de	X
esrj-78880	17	30	bajo	bajo	X
esrj-78880	17	31	costo	costo	PROPN
esrj-78880	17	32	y	y	PROPN
esrj-78880	17	33	evitar	evitar	PROPN
esrj-78880	17	34	gastos	gastos	PROPN
esrj-78880	17	35	adicionales	adicionale	VERB
esrj-78880	17	36	del	del	PROPN
esrj-78880	17	37	usuario	usuario	PROPN
esrj-78880	17	38	,	,	PUNCT
esrj-78880	17	39	este	este	ADJ
esrj-78880	17	40	trabajo	trabajo	PROPN
esrj-78880	17	41	tiene	tiene	PROPN
esrj-78880	17	42	como	como	PROPN
esrj-78880	17	43	objetivo	objetivo	PROPN
esrj-78880	17	44	proponer	proponer	PROPN
esrj-78880	17	45	la	la	PROPN
esrj-78880	17	46	implementación	implementación	PROPN
esrj-78880	17	47	de	de	PROPN
esrj-78880	17	48	una	una	PROPN
esrj-78880	17	49	red	red	PROPN
esrj-78880	17	50	neural	neural	PROPN
esrj-78880	17	51	artificial	artificial	PROPN
esrj-78880	17	52	(	(	PUNCT
esrj-78880	17	53	ann	ann	PROPN
esrj-78880	17	54	)	)	PUNCT
esrj-78880	17	55	para	para	PROPN
esrj-78880	17	56	estimar	estimar	PROPN
esrj-78880	17	57	los	los	PROPN
esrj-78880	17	58	observables	observables	PROPN
esrj-78880	17	59	del	del	X
esrj-78880	17	60	operador	operador	NOUN
esrj-78880	17	61	gps	gps	PROPN
esrj-78880	17	62	l2	l2	NOUN
esrj-78880	17	63	.	.	PUNCT
esrj-78880	18	1	para	para	PROPN
esrj-78880	18	2	esto	esto	PROPN
esrj-78880	18	3	,	,	PUNCT
esrj-78880	18	4	se	se	PROPN
esrj-78880	18	5	seleccionó	seleccionó	PROPN
esrj-78880	18	6	un	un	PROPN
esrj-78880	18	7	modelo	modelo	PROPN
esrj-78880	18	8	de	de	PROPN
esrj-78880	18	9	red	red	PROPN
esrj-78880	18	10	a	a	DET
esrj-78880	18	11	través	través	X
esrj-78880	18	12	de	de	X
esrj-78880	18	13	la	la	X
esrj-78880	18	14	técnica	técnica	PROPN
esrj-78880	18	15	de	de	PROPN
esrj-78880	18	16	validación	validación	PROPN
esrj-78880	18	17	cruzada	cruzada	NOUN
esrj-78880	18	18	(	(	PUNCT
esrj-78880	18	19	cv	cv	PROPN
esrj-78880	18	20	)	)	PUNCT
esrj-78880	18	21	,	,	PUNCT
esrj-78880	18	22	se	se	X
esrj-78880	18	23	estimaron	estimaron	PROPN
esrj-78880	18	24	las	las	PROPN
esrj-78880	18	25	observaciones	observaciones	PROPN
esrj-78880	18	26	y	y	PROPN
esrj-78880	18	27	se	se	PROPN
esrj-78880	18	28	analizó	analizó	PROPN
esrj-78880	18	29	la	la	PROPN
esrj-78880	18	30	precisión	precisión	PROPN
esrj-78880	18	31	de	de	PROPN
esrj-78880	18	32	las	las	PROPN
esrj-78880	18	33	soluciones	soluciones	PROPN
esrj-78880	18	34	.	.	PUNCT
esrj-78880	19	1	la	la	PROPN
esrj-78880	19	2	técnica	técnica	PROPN
esrj-78880	19	3	cv	cv	PROPN
esrj-78880	19	4	demostró	demostró	PROPN
esrj-78880	19	5	que	que	PROPN
esrj-78880	19	6	un	un	PROPN
esrj-78880	19	7	perceptrón	perceptrón	PROPN
esrj-78880	19	8	multicapa	multicapa	VERB
esrj-78880	19	9	con	con	NOUN
esrj-78880	19	10	cuatro	cuatro	NOUN
esrj-78880	19	11	capas	capa	VERB
esrj-78880	19	12	intermedias	intermedia	NOUN
esrj-78880	20	1	y	y	PROPN
esrj-78880	20	2	uno	uno	PROPN
esrj-78880	20	3	con	con	PROPN
esrj-78880	20	4	una	una	PROPN
esrj-78880	20	5	capa	capa	PROPN
esrj-78880	20	6	intermedia	intermedia	PROPN
esrj-78880	20	7	son	son	PROPN
esrj-78880	20	8	las	las	PROPN
esrj-78880	20	9	configuraciones	configuraciones	PROPN
esrj-78880	20	10	más	más	PROPN
esrj-78880	20	11	apropiadas	apropiadas	PROPN
esrj-78880	20	12	para	para	PROPN
esrj-78880	20	13	este	este	NOUN
esrj-78880	20	14	problema	problema	NOUN
esrj-78880	20	15	.	.	PUNCT
esrj-78880	21	1	el	el	PROPN
esrj-78880	21	2	procesamiento	procesamiento	PROPN
esrj-78880	21	3	rinex	rinex	PROPN
esrj-78880	21	4	de	de	PROPN
esrj-78880	21	5	doble	doble	PROPN
esrj-78880	21	6	frecuencia	frecuencia	PROPN
esrj-78880	21	7	(	(	PUNCT
esrj-78880	21	8	con	con	PROPN
esrj-78880	21	9	datos	datos	PROPN
esrj-78880	21	10	artificiales	artificiales	PROPN
esrj-78880	21	11	)	)	PUNCT
esrj-78880	21	12	reveló	reveló	PROPN
esrj-78880	21	13	mejoras	mejoras	PROPN
esrj-78880	21	14	significativas	significativas	PROPN
esrj-78880	21	15	.	.	PUNCT
esrj-78880	22	1	para	para	PROPN
esrj-78880	22	2	algunas	algunas	PROPN
esrj-78880	22	3	pruebas	pruebas	PROPN
esrj-78880	22	4	,	,	PUNCT
esrj-78880	22	5	fue	fue	PROPN
esrj-78880	22	6	posible	posible	ADJ
esrj-78880	22	7	cumplir	cumplir	PROPN
esrj-78880	22	8	con	con	PROPN
esrj-78880	22	9	las	las	PROPN
esrj-78880	22	10	regulaciones	regulaciones	PROPN
esrj-78880	22	11	de	de	PROPN
esrj-78880	22	12	georreferenciación	georreferenciación	PROPN
esrj-78880	22	13	de	de	PROPN
esrj-78880	22	14	propiedad	propiedad	PROPN
esrj-78880	22	15	rural	rural	PROPN
esrj-78880	22	16	del	del	PROPN
esrj-78880	22	17	instituto	instituto	PROPN
esrj-78880	22	18	nacional	nacional	PROPN
esrj-78880	22	19	de	de	PROPN
esrj-78880	22	20	colonización	colonización	PROPN
esrj-78880	22	21	y	y	PROPN
esrj-78880	22	22	reforma	reforma	PROPN
esrj-78880	22	23	agraria	agraria	PROPN
esrj-78880	22	24	(	(	PUNCT
esrj-78880	22	25	incra	incra	PROPN
esrj-78880	22	26	)	)	PUNCT
esrj-78880	22	27	.	.	PUNCT
esrj-78880	23	1	los	los	PROPN
esrj-78880	23	2	resultados	resultados	PROPN
esrj-78880	23	3	indican	indican	NOUN
esrj-78880	23	4	,	,	PUNCT
esrj-78880	23	5	por	por	NOUN
esrj-78880	23	6	lo	lo	PROPN
esrj-78880	23	7	tanto	tanto	NOUN
esrj-78880	23	8	,	,	PUNCT
esrj-78880	23	9	que	que	X
esrj-78880	23	10	la	la	PROPN
esrj-78880	23	11	propuesta	propuesta	PROPN
esrj-78880	23	12	metodológica	metodológica	PROPN
esrj-78880	23	13	de	de	PROPN
esrj-78880	23	14	la	la	PROPN
esrj-78880	23	15	presente	presente	PROPN
esrj-78880	23	16	investigación	investigación	PROPN
esrj-78880	23	17	es	es	PROPN
esrj-78880	23	18	muy	muy	PROPN
esrj-78880	23	19	prometedora	prometedora	PROPN
esrj-78880	23	20	para	para	PROPN
esrj-78880	23	21	aproximar	aproximar	PROPN
esrj-78880	23	22	la	la	PROPN
esrj-78880	23	23	calidad	calidad	PROPN
esrj-78880	23	24	de	de	X
esrj-78880	23	25	posicionamiento	posicionamiento	PROPN
esrj-78880	23	26	accesible	accesible	ADJ
esrj-78880	23	27	utilizando	utilizando	PROPN
esrj-78880	23	28	un	un	PROPN
esrj-78880	23	29	receptor	receptor	PROPN
esrj-78880	23	30	de	de	PROPN
esrj-78880	23	31	doble	doble	PROPN
esrj-78880	23	32	frecuencia	frecuencia	PROPN
esrj-78880	23	33	.	.	PUNCT
esrj-78880	24	1	resumen	resumen	PROPN
esrj-78880	24	2	record	record	PROPN
esrj-78880	24	3	manuscript	manuscript	NOUN
esrj-78880	24	4	received	receive	VERB
esrj-78880	24	5	:	:	PUNCT
esrj-78880	24	6	04/04/2019	04/04/2019	X
esrj-78880	24	7	accepted	accept	VERB
esrj-78880	24	8	for	for	ADP
esrj-78880	24	9	publication	publication	NOUN
esrj-78880	24	10	:	:	PUNCT
esrj-78880	24	11	15/11/2019	15/11/2019	NUM
esrj-78880	24	12	earth	earth	NOUN
esrj-78880	24	13	sciences	sciences	PROPN
esrj-78880	24	14	research	research	PROPN
esrj-78880	24	15	journal	journal	PROPN
esrj-78880	24	16	earth	earth	PROPN
esrj-78880	24	17	sci	sci	PROPN
esrj-78880	24	18	.	.	PUNCT
esrj-78880	25	1	res	res	PROPN
esrj-78880	25	2	.	.	PUNCT
esrj-78880	26	1	j.	j.	PROPN
esrj-78880	26	2	vol	vol	PROPN
esrj-78880	26	3	.	.	PROPN
esrj-78880	27	1	24	24	NUM
esrj-78880	27	2	,	,	PUNCT
esrj-78880	27	3	no	no	INTJ
esrj-78880	27	4	.	.	NOUN
esrj-78880	27	5	1	1	NUM
esrj-78880	27	6	(	(	PUNCT
esrj-78880	27	7	march	march	NOUN
esrj-78880	27	8	,	,	PUNCT
esrj-78880	27	9	2020	2020	NUM
esrj-78880	27	10	):	):	PUNCT
esrj-78880	27	11	97	97	NUM
esrj-78880	27	12	-	-	SYM
esrj-78880	27	13	103	103	NUM
esrj-78880	27	14	cassio	cassio	NOUN
esrj-78880	27	15	vinícius	vinícius	NOUN
esrj-78880	27	16	carletti	carletti	PROPN
esrj-78880	27	17	negri	negri	NOUN
esrj-78880	27	18	,	,	PUNCT
esrj-78880	27	19	paulo	paulo	PROPN
esrj-78880	27	20	cesar	cesar	PROPN
esrj-78880	27	21	lima	lima	PROPN
esrj-78880	27	22	segantine	segantine	PROPN
esrj-78880	27	23	university	university	PROPN
esrj-78880	27	24	of	of	ADP
esrj-78880	27	25	são	são	PROPN
esrj-78880	27	26	paulo	paulo	PROPN
esrj-78880	27	27	(	(	PUNCT
esrj-78880	27	28	usp	usp	NOUN
esrj-78880	27	29	)	)	PUNCT
esrj-78880	27	30	*	*	PUNCT
esrj-78880	28	1	corresponding	correspond	VERB
esrj-78880	28	2	author	author	NOUN
esrj-78880	28	3	:	:	PUNCT
esrj-78880	28	4	cassiovcn@usp.br	cassiovcn@usp.br	X
esrj-78880	28	5	g	g	PROPN
esrj-78880	28	6	ps	ps	PROPN
esrj-78880	28	7	m	m	PROPN
esrj-78880	28	8	ea	ea	PROPN
esrj-78880	28	9	su	su	PROPN
esrj-78880	28	10	re	re	X
esrj-78880	28	11	m	m	VERB
esrj-78880	28	12	en	en	ADP
esrj-78880	28	13	ts	ts	ADP
esrj-78880	28	14	98	98	NUM
esrj-78880	28	15	cassio	cassio	PROPN
esrj-78880	28	16	vinícius	vinícius	PROPN
esrj-78880	28	17	carletti	carletti	PROPN
esrj-78880	28	18	negri	negri	NOUN
esrj-78880	28	19	,	,	PUNCT
esrj-78880	28	20	paulo	paulo	PROPN
esrj-78880	28	21	cesar	cesar	PROPN
esrj-78880	28	22	lima	lima	PROPN
esrj-78880	28	23	segantine	segantine	NOUN
esrj-78880	28	24	introduction	introduction	NOUN
esrj-78880	28	25	the	the	DET
esrj-78880	28	26	increasing	increase	VERB
esrj-78880	28	27	mobility	mobility	NOUN
esrj-78880	28	28	of	of	ADP
esrj-78880	28	29	people	people	NOUN
esrj-78880	28	30	and	and	CCONJ
esrj-78880	28	31	goods	good	NOUN
esrj-78880	28	32	,	,	PUNCT
esrj-78880	28	33	as	as	ADV
esrj-78880	28	34	well	well	ADV
esrj-78880	28	35	as	as	ADP
esrj-78880	28	36	the	the	DET
esrj-78880	28	37	rapid	rapid	ADJ
esrj-78880	28	38	growth	growth	NOUN
esrj-78880	28	39	of	of	ADP
esrj-78880	28	40	users	user	NOUN
esrj-78880	28	41	of	of	ADP
esrj-78880	28	42	mobile	mobile	ADJ
esrj-78880	28	43	devices	device	NOUN
esrj-78880	28	44	with	with	ADP
esrj-78880	28	45	location	location	NOUN
esrj-78880	28	46	-	-	PUNCT
esrj-78880	28	47	based	base	VERB
esrj-78880	28	48	services	service	NOUN
esrj-78880	28	49	,	,	PUNCT
esrj-78880	28	50	significantly	significantly	ADV
esrj-78880	28	51	expands	expand	VERB
esrj-78880	28	52	the	the	DET
esrj-78880	28	53	need	need	NOUN
esrj-78880	28	54	for	for	ADP
esrj-78880	28	55	geospatial	geospatial	ADJ
esrj-78880	28	56	information	information	NOUN
esrj-78880	28	57	gathered	gather	VERB
esrj-78880	28	58	from	from	ADP
esrj-78880	28	59	artificial	artificial	ADJ
esrj-78880	28	60	earth	earth	NOUN
esrj-78880	28	61	satellites	satellite	NOUN
esrj-78880	28	62	.	.	PUNCT
esrj-78880	29	1	to	to	PART
esrj-78880	29	2	address	address	VERB
esrj-78880	29	3	this	this	DET
esrj-78880	29	4	challenge	challenge	NOUN
esrj-78880	29	5	,	,	PUNCT
esrj-78880	29	6	the	the	DET
esrj-78880	29	7	integrity	integrity	NOUN
esrj-78880	29	8	of	of	ADP
esrj-78880	29	9	the	the	DET
esrj-78880	29	10	multi	multi	NOUN
esrj-78880	29	11	-	-	NOUN
esrj-78880	29	12	gnss	gnss	NOUN
esrj-78880	29	13	(	(	PUNCT
esrj-78880	29	14	us	us	PROPN
esrj-78880	29	15	american	american	PROPN
esrj-78880	29	16	gps	gps	PROPN
esrj-78880	29	17	,	,	PUNCT
esrj-78880	29	18	russian	russian	ADJ
esrj-78880	29	19	glonass	glonass	NOUN
esrj-78880	29	20	,	,	PUNCT
esrj-78880	29	21	european	european	PROPN
esrj-78880	29	22	galileo	galileo	PROPN
esrj-78880	29	23	,	,	PUNCT
esrj-78880	29	24	and	and	CCONJ
esrj-78880	29	25	chinese	chinese	ADJ
esrj-78880	29	26	beidou	beidou	NOUN
esrj-78880	29	27	)	)	PUNCT
esrj-78880	29	28	propagated	propagate	VERB
esrj-78880	29	29	into	into	ADP
esrj-78880	29	30	national	national	ADJ
esrj-78880	29	31	or	or	CCONJ
esrj-78880	29	32	international	international	ADJ
esrj-78880	29	33	positioning	positioning	NOUN
esrj-78880	29	34	services	service	NOUN
esrj-78880	29	35	is	be	AUX
esrj-78880	29	36	of	of	ADP
esrj-78880	29	37	great	great	ADJ
esrj-78880	29	38	importance	importance	NOUN
esrj-78880	29	39	.	.	PUNCT
esrj-78880	30	1	the	the	DET
esrj-78880	30	2	gps	gps	PROPN
esrj-78880	30	3	(	(	PUNCT
esrj-78880	30	4	global	global	ADJ
esrj-78880	30	5	positioning	positioning	NOUN
esrj-78880	30	6	system	system	NOUN
esrj-78880	30	7	)	)	PUNCT
esrj-78880	30	8	can	can	AUX
esrj-78880	30	9	be	be	AUX
esrj-78880	30	10	highlighted	highlight	VERB
esrj-78880	30	11	here	here	ADV
esrj-78880	30	12	due	due	ADP
esrj-78880	30	13	to	to	ADP
esrj-78880	30	14	the	the	DET
esrj-78880	30	15	stability	stability	NOUN
esrj-78880	30	16	of	of	ADP
esrj-78880	30	17	the	the	DET
esrj-78880	30	18	system	system	NOUN
esrj-78880	30	19	over	over	ADP
esrj-78880	30	20	a	a	DET
esrj-78880	30	21	long	long	ADJ
esrj-78880	30	22	period	period	NOUN
esrj-78880	30	23	of	of	ADP
esrj-78880	30	24	time	time	NOUN
esrj-78880	30	25	and	and	CCONJ
esrj-78880	30	26	the	the	DET
esrj-78880	30	27	robustness	robustness	NOUN
esrj-78880	30	28	of	of	ADP
esrj-78880	30	29	its	its	PRON
esrj-78880	30	30	signals	signal	NOUN
esrj-78880	30	31	.	.	PUNCT
esrj-78880	31	1	initially	initially	ADV
esrj-78880	31	2	,	,	PUNCT
esrj-78880	31	3	its	its	PRON
esrj-78880	31	4	satellites	satellite	NOUN
esrj-78880	31	5	emitted	emit	VERB
esrj-78880	31	6	the	the	DET
esrj-78880	31	7	signals	signal	NOUN
esrj-78880	31	8	in	in	ADP
esrj-78880	31	9	two	two	NUM
esrj-78880	31	10	frequencies	frequency	NOUN
esrj-78880	31	11	(	(	PUNCT
esrj-78880	31	12	l1	l1	PROPN
esrj-78880	31	13	and	and	CCONJ
esrj-78880	31	14	l2	l2	NOUN
esrj-78880	31	15	)	)	PUNCT
esrj-78880	31	16	only	only	ADV
esrj-78880	31	17	.	.	PUNCT
esrj-78880	32	1	over	over	ADP
esrj-78880	32	2	the	the	DET
esrj-78880	32	3	years	year	NOUN
esrj-78880	32	4	,	,	PUNCT
esrj-78880	32	5	on	on	ADP
esrj-78880	32	6	the	the	DET
esrj-78880	32	7	basis	basis	NOUN
esrj-78880	32	8	of	of	ADP
esrj-78880	32	9	its	its	PRON
esrj-78880	32	10	modernization	modernization	NOUN
esrj-78880	32	11	program	program	NOUN
esrj-78880	32	12	,	,	PUNCT
esrj-78880	32	13	the	the	DET
esrj-78880	32	14	outdated	outdated	ADJ
esrj-78880	32	15	satellites	satellite	NOUN
esrj-78880	32	16	of	of	ADP
esrj-78880	32	17	the	the	DET
esrj-78880	32	18	space	space	NOUN
esrj-78880	32	19	segment	segment	NOUN
esrj-78880	32	20	of	of	ADP
esrj-78880	32	21	the	the	DET
esrj-78880	32	22	gps	gps	PROPN
esrj-78880	32	23	were	be	AUX
esrj-78880	32	24	replenished	replenish	VERB
esrj-78880	32	25	by	by	ADP
esrj-78880	32	26	satellites	satellite	NOUN
esrj-78880	32	27	of	of	ADP
esrj-78880	32	28	new	new	ADJ
esrj-78880	32	29	generations	generation	NOUN
esrj-78880	32	30	emissions	emission	NOUN
esrj-78880	32	31	as	as	ADV
esrj-78880	32	32	well	well	ADV
esrj-78880	32	33	new	new	ADJ
esrj-78880	32	34	navigation	navigation	NOUN
esrj-78880	32	35	signals	signal	NOUN
esrj-78880	32	36	that	that	PRON
esrj-78880	32	37	were	be	AUX
esrj-78880	32	38	added	add	VERB
esrj-78880	32	39	to	to	ADP
esrj-78880	32	40	the	the	DET
esrj-78880	32	41	existing	exist	VERB
esrj-78880	32	42	signals	signal	NOUN
esrj-78880	32	43	(	(	PUNCT
esrj-78880	32	44	leick	leick	ADJ
esrj-78880	32	45	,	,	PUNCT
esrj-78880	32	46	rapoport	rapoport	NOUN
esrj-78880	32	47	,	,	PUNCT
esrj-78880	32	48	and	and	CCONJ
esrj-78880	32	49	tatarnikov	tatarnikov	VERB
esrj-78880	32	50	,	,	PUNCT
esrj-78880	32	51	2015	2015	NUM
esrj-78880	32	52	;	;	PUNCT
esrj-78880	32	53	segantine	segantine	NOUN
esrj-78880	32	54	,	,	PUNCT
esrj-78880	32	55	2005	2005	NUM
esrj-78880	32	56	)	)	PUNCT
esrj-78880	32	57	.	.	PUNCT
esrj-78880	33	1	however	however	ADV
esrj-78880	33	2	,	,	PUNCT
esrj-78880	33	3	one	one	NUM
esrj-78880	33	4	of	of	ADP
esrj-78880	33	5	the	the	DET
esrj-78880	33	6	advantages	advantage	NOUN
esrj-78880	33	7	of	of	ADP
esrj-78880	33	8	dual	dual	ADJ
esrj-78880	33	9	or	or	CCONJ
esrj-78880	33	10	triple	triple	ADJ
esrj-78880	33	11	-	-	PUNCT
esrj-78880	33	12	frequency	frequency	NOUN
esrj-78880	33	13	receivers	receiver	NOUN
esrj-78880	33	14	is	be	AUX
esrj-78880	33	15	the	the	DET
esrj-78880	33	16	possibility	possibility	NOUN
esrj-78880	33	17	of	of	ADP
esrj-78880	33	18	making	make	VERB
esrj-78880	33	19	linear	linear	ADJ
esrj-78880	33	20	combinations	combination	NOUN
esrj-78880	33	21	between	between	ADP
esrj-78880	33	22	the	the	DET
esrj-78880	33	23	observables	observable	NOUN
esrj-78880	33	24	of	of	ADP
esrj-78880	33	25	different	different	ADJ
esrj-78880	33	26	carriers	carrier	NOUN
esrj-78880	33	27	to	to	PART
esrj-78880	33	28	improve	improve	VERB
esrj-78880	33	29	the	the	DET
esrj-78880	33	30	positioning	positioning	NOUN
esrj-78880	33	31	accuracy	accuracy	NOUN
esrj-78880	33	32	by	by	ADP
esrj-78880	33	33	reducing	reduce	VERB
esrj-78880	33	34	the	the	DET
esrj-78880	33	35	ionospheric	ionospheric	ADJ
esrj-78880	33	36	effect	effect	NOUN
esrj-78880	33	37	and	and	CCONJ
esrj-78880	33	38	by	by	ADP
esrj-78880	33	39	also	also	ADV
esrj-78880	33	40	eliminating	eliminate	VERB
esrj-78880	33	41	the	the	DET
esrj-78880	33	42	errors	error	NOUN
esrj-78880	33	43	of	of	ADP
esrj-78880	33	44	receiver	receiver	NOUN
esrj-78880	33	45	and	and	CCONJ
esrj-78880	33	46	satellite	satellite	NOUN
esrj-78880	33	47	clocks	clock	NOUN
esrj-78880	33	48	.	.	PUNCT
esrj-78880	34	1	in	in	ADP
esrj-78880	34	2	recent	recent	ADJ
esrj-78880	34	3	years	year	NOUN
esrj-78880	34	4	,	,	PUNCT
esrj-78880	34	5	to	to	PART
esrj-78880	34	6	avoid	avoid	VERB
esrj-78880	34	7	the	the	DET
esrj-78880	34	8	high	high	ADJ
esrj-78880	34	9	costs	cost	NOUN
esrj-78880	34	10	associated	associate	VERB
esrj-78880	34	11	with	with	ADP
esrj-78880	34	12	the	the	DET
esrj-78880	34	13	use	use	NOUN
esrj-78880	34	14	of	of	ADP
esrj-78880	34	15	double	double	ADJ
esrj-78880	34	16	or	or	CCONJ
esrj-78880	34	17	multifrequency	multifrequency	NOUN
esrj-78880	34	18	receivers	receiver	NOUN
esrj-78880	34	19	,	,	PUNCT
esrj-78880	34	20	some	some	DET
esrj-78880	34	21	studies	study	NOUN
esrj-78880	34	22	have	have	AUX
esrj-78880	34	23	been	be	AUX
esrj-78880	34	24	conducted	conduct	VERB
esrj-78880	34	25	to	to	PART
esrj-78880	34	26	assess	assess	VERB
esrj-78880	34	27	the	the	DET
esrj-78880	34	28	possibility	possibility	NOUN
esrj-78880	34	29	of	of	ADP
esrj-78880	34	30	using	use	VERB
esrj-78880	34	31	superficial	superficial	ADJ
esrj-78880	34	32	artificial	artificial	ADJ
esrj-78880	34	33	neural	neural	ADJ
esrj-78880	34	34	networks	network	NOUN
esrj-78880	34	35	(	(	PUNCT
esrj-78880	34	36	anns	anns	PROPN
esrj-78880	34	37	)	)	PUNCT
esrj-78880	34	38	to	to	PART
esrj-78880	34	39	generate	generate	VERB
esrj-78880	34	40	l2	l2	NOUN
esrj-78880	34	41	carrier	carrier	NOUN
esrj-78880	34	42	observations	observation	NOUN
esrj-78880	34	43	from	from	ADP
esrj-78880	34	44	data	datum	NOUN
esrj-78880	34	45	gathered	gather	VERB
esrj-78880	34	46	by	by	ADP
esrj-78880	34	47	a	a	DET
esrj-78880	34	48	single	single	ADJ
esrj-78880	34	49	-	-	PUNCT
esrj-78880	34	50	frequency	frequency	NOUN
esrj-78880	34	51	receiver	receiver	NOUN
esrj-78880	34	52	within	within	ADP
esrj-78880	34	53	a	a	DET
esrj-78880	34	54	continuous	continuous	ADJ
esrj-78880	34	55	monitoring	monitoring	NOUN
esrj-78880	34	56	network	network	NOUN
esrj-78880	34	57	(	(	PUNCT
esrj-78880	34	58	mazzetto	mazzetto	NOUN
esrj-78880	34	59	,	,	PUNCT
esrj-78880	34	60	2017	2017	NUM
esrj-78880	34	61	;	;	PUNCT
esrj-78880	34	62	c.	c.	PROPN
esrj-78880	34	63	a.	a.	PROPN
esrj-78880	34	64	u.	u.	PROPN
esrj-78880	34	65	da	da	PROPN
esrj-78880	34	66	silva	silva	PROPN
esrj-78880	34	67	,	,	PUNCT
esrj-78880	34	68	2003	2003	NUM
esrj-78880	34	69	)	)	PUNCT
esrj-78880	34	70	.	.	PUNCT
esrj-78880	35	1	although	although	SCONJ
esrj-78880	35	2	some	some	DET
esrj-78880	35	3	unsatisfactory	unsatisfactory	ADJ
esrj-78880	35	4	results	result	NOUN
esrj-78880	35	5	were	be	AUX
esrj-78880	35	6	obtained	obtain	VERB
esrj-78880	35	7	in	in	ADP
esrj-78880	35	8	certain	certain	ADJ
esrj-78880	35	9	tests	test	NOUN
esrj-78880	35	10	during	during	ADP
esrj-78880	35	11	the	the	DET
esrj-78880	35	12	learning	learning	NOUN
esrj-78880	35	13	process	process	NOUN
esrj-78880	35	14	of	of	ADP
esrj-78880	35	15	the	the	DET
esrj-78880	35	16	networks	network	NOUN
esrj-78880	35	17	,	,	PUNCT
esrj-78880	35	18	in	in	ADP
esrj-78880	35	19	general	general	ADJ
esrj-78880	35	20	,	,	PUNCT
esrj-78880	35	21	the	the	DET
esrj-78880	35	22	relative	relative	ADJ
esrj-78880	35	23	positioning	positioning	NOUN
esrj-78880	35	24	solutions	solution	NOUN
esrj-78880	35	25	estimated	estimate	VERB
esrj-78880	35	26	using	use	VERB
esrj-78880	35	27	the	the	DET
esrj-78880	35	28	generated	generate	VERB
esrj-78880	35	29	l2	l2	NOUN
esrj-78880	35	30	observables	observable	NOUN
esrj-78880	35	31	were	be	AUX
esrj-78880	35	32	more	more	ADV
esrj-78880	35	33	accurate	accurate	ADJ
esrj-78880	35	34	than	than	ADP
esrj-78880	35	35	those	those	PRON
esrj-78880	35	36	using	use	VERB
esrj-78880	35	37	the	the	DET
esrj-78880	35	38	original	original	ADJ
esrj-78880	35	39	l1	l1	PROPN
esrj-78880	35	40	data	datum	NOUN
esrj-78880	35	41	only	only	ADV
esrj-78880	35	42	.	.	PUNCT
esrj-78880	36	1	this	this	PRON
esrj-78880	36	2	suggests	suggest	VERB
esrj-78880	36	3	that	that	SCONJ
esrj-78880	36	4	it	it	PRON
esrj-78880	36	5	is	be	AUX
esrj-78880	36	6	possible	possible	ADJ
esrj-78880	36	7	to	to	PART
esrj-78880	36	8	model	model	VERB
esrj-78880	36	9	the	the	DET
esrj-78880	36	10	behavior	behavior	NOUN
esrj-78880	36	11	of	of	ADP
esrj-78880	36	12	gps	gps	PROPN
esrj-78880	36	13	observations	observation	NOUN
esrj-78880	36	14	for	for	ADP
esrj-78880	36	15	up	up	ADP
esrj-78880	36	16	to	to	PART
esrj-78880	36	17	30	30	NUM
esrj-78880	36	18	minutes	minute	NOUN
esrj-78880	36	19	to	to	PART
esrj-78880	36	20	generate	generate	VERB
esrj-78880	36	21	the	the	DET
esrj-78880	36	22	l2	l2	NOUN
esrj-78880	36	23	carrier	carrier	NOUN
esrj-78880	36	24	observables	observable	NOUN
esrj-78880	36	25	,	,	PUNCT
esrj-78880	36	26	improving	improve	VERB
esrj-78880	36	27	the	the	DET
esrj-78880	36	28	positioning	positioning	NOUN
esrj-78880	36	29	accuracy	accuracy	NOUN
esrj-78880	36	30	of	of	ADP
esrj-78880	36	31	low	low	ADJ
esrj-78880	36	32	-	-	PUNCT
esrj-78880	36	33	cost	cost	NOUN
esrj-78880	36	34	single	single	ADJ
esrj-78880	36	35	-	-	PUNCT
esrj-78880	36	36	frequency	frequency	NOUN
esrj-78880	36	37	receivers	receiver	NOUN
esrj-78880	36	38	.	.	PUNCT
esrj-78880	37	1	according	accord	VERB
esrj-78880	37	2	to	to	ADP
esrj-78880	37	3	hornik	hornik	PROPN
esrj-78880	37	4	,	,	PUNCT
esrj-78880	37	5	stinchcombe	stinchcombe	NOUN
esrj-78880	37	6	and	and	CCONJ
esrj-78880	37	7	white	white	ADJ
esrj-78880	37	8	(	(	PUNCT
esrj-78880	37	9	1989	1989	NUM
esrj-78880	37	10	)	)	PUNCT
esrj-78880	37	11	,	,	PUNCT
esrj-78880	37	12	a	a	DET
esrj-78880	37	13	shallow	shallow	ADJ
esrj-78880	37	14	multilayer	multilayer	NOUN
esrj-78880	37	15	perceptron	perceptron	PROPN
esrj-78880	37	16	(	(	PUNCT
esrj-78880	37	17	mlp	mlp	NOUN
esrj-78880	37	18	)	)	PUNCT
esrj-78880	37	19	can	can	AUX
esrj-78880	37	20	approximate	approximate	VERB
esrj-78880	37	21	any	any	DET
esrj-78880	37	22	function	function	NOUN
esrj-78880	37	23	at	at	ADP
esrj-78880	37	24	a	a	DET
esrj-78880	37	25	particular	particular	ADJ
esrj-78880	37	26	accuracy	accuracy	NOUN
esrj-78880	37	27	level	level	NOUN
esrj-78880	37	28	.	.	PUNCT
esrj-78880	38	1	however	however	ADV
esrj-78880	38	2	,	,	PUNCT
esrj-78880	38	3	bengio	bengio	NOUN
esrj-78880	38	4	and	and	CCONJ
esrj-78880	38	5	lecun	lecun	ADJ
esrj-78880	38	6	(	(	PUNCT
esrj-78880	38	7	2007	2007	NUM
esrj-78880	38	8	)	)	PUNCT
esrj-78880	38	9	argue	argue	VERB
esrj-78880	38	10	that	that	SCONJ
esrj-78880	38	11	although	although	SCONJ
esrj-78880	38	12	networks	network	NOUN
esrj-78880	38	13	with	with	ADP
esrj-78880	38	14	one	one	NUM
esrj-78880	38	15	hidden	hide	VERB
esrj-78880	38	16	layer	layer	NOUN
esrj-78880	38	17	have	have	VERB
esrj-78880	38	18	advantages	advantage	NOUN
esrj-78880	38	19	,	,	PUNCT
esrj-78880	38	20	deeper	deep	ADJ
esrj-78880	38	21	models	model	NOUN
esrj-78880	38	22	can	can	AUX
esrj-78880	38	23	represent	represent	VERB
esrj-78880	38	24	some	some	DET
esrj-78880	38	25	systems	system	NOUN
esrj-78880	38	26	more	more	ADV
esrj-78880	38	27	efficiently	efficiently	ADV
esrj-78880	38	28	because	because	SCONJ
esrj-78880	38	29	they	they	PRON
esrj-78880	38	30	can	can	AUX
esrj-78880	38	31	learn	learn	VERB
esrj-78880	38	32	lower	low	ADJ
esrj-78880	38	33	-	-	PUNCT
esrj-78880	38	34	level	level	NOUN
esrj-78880	38	35	abstractions	abstraction	NOUN
esrj-78880	38	36	(	(	PUNCT
esrj-78880	38	37	characteristics	characteristic	NOUN
esrj-78880	38	38	of	of	ADP
esrj-78880	38	39	the	the	DET
esrj-78880	38	40	characteristics	characteristic	NOUN
esrj-78880	38	41	)	)	PUNCT
esrj-78880	38	42	.	.	PUNCT
esrj-78880	39	1	in	in	ADP
esrj-78880	39	2	addition	addition	NOUN
esrj-78880	39	3	,	,	PUNCT
esrj-78880	39	4	goodfellow	goodfellow	PROPN
esrj-78880	39	5	,	,	PUNCT
esrj-78880	39	6	bengio	bengio	NOUN
esrj-78880	39	7	and	and	CCONJ
esrj-78880	39	8	courville	courville	X
esrj-78880	39	9	(	(	PUNCT
esrj-78880	39	10	2016	2016	NUM
esrj-78880	39	11	)	)	PUNCT
esrj-78880	39	12	have	have	AUX
esrj-78880	39	13	shown	show	VERB
esrj-78880	39	14	from	from	ADP
esrj-78880	39	15	empirical	empirical	ADJ
esrj-78880	39	16	tests	test	NOUN
esrj-78880	39	17	that	that	PRON
esrj-78880	39	18	anns	anns	VERB
esrj-78880	39	19	with	with	ADP
esrj-78880	39	20	two	two	NUM
esrj-78880	39	21	or	or	CCONJ
esrj-78880	39	22	more	more	ADV
esrj-78880	39	23	hidden	hide	VERB
esrj-78880	39	24	layers	layer	NOUN
esrj-78880	39	25	have	have	VERB
esrj-78880	39	26	a	a	DET
esrj-78880	39	27	better	well	ADJ
esrj-78880	39	28	generalization	generalization	NOUN
esrj-78880	39	29	capacity	capacity	NOUN
esrj-78880	39	30	than	than	ADP
esrj-78880	39	31	the	the	DET
esrj-78880	39	32	simpler	simple	ADJ
esrj-78880	39	33	models	model	NOUN
esrj-78880	39	34	.	.	PUNCT
esrj-78880	40	1	thus	thus	ADV
esrj-78880	40	2	,	,	PUNCT
esrj-78880	40	3	this	this	DET
esrj-78880	40	4	paper	paper	NOUN
esrj-78880	40	5	aims	aim	VERB
esrj-78880	40	6	to	to	PART
esrj-78880	40	7	implement	implement	VERB
esrj-78880	40	8	anns	ann	NOUN
esrj-78880	40	9	with	with	ADP
esrj-78880	40	10	more	more	ADJ
esrj-78880	40	11	than	than	ADP
esrj-78880	40	12	one	one	NUM
esrj-78880	40	13	hidden	hide	VERB
esrj-78880	40	14	layer	layer	NOUN
esrj-78880	40	15	,	,	PUNCT
esrj-78880	40	16	through	through	ADP
esrj-78880	40	17	the	the	DET
esrj-78880	40	18	tensorflow	tensorflow	NOUN
esrj-78880	40	19	library	library	NOUN
esrj-78880	40	20	in	in	ADP
esrj-78880	40	21	the	the	DET
esrj-78880	40	22	python	python	NOUN
esrj-78880	40	23	computer	computer	NOUN
esrj-78880	40	24	language	language	NOUN
esrj-78880	40	25	,	,	PUNCT
esrj-78880	40	26	to	to	PART
esrj-78880	40	27	estimate	estimate	VERB
esrj-78880	40	28	the	the	DET
esrj-78880	40	29	gps	gps	PROPN
esrj-78880	40	30	l2	l2	NOUN
esrj-78880	40	31	carrier	carrier	NOUN
esrj-78880	40	32	observables	observable	NOUN
esrj-78880	40	33	.	.	PUNCT
esrj-78880	41	1	in	in	ADP
esrj-78880	41	2	addition	addition	NOUN
esrj-78880	41	3	,	,	PUNCT
esrj-78880	41	4	the	the	DET
esrj-78880	41	5	present	present	ADJ
esrj-78880	41	6	investigation	investigation	NOUN
esrj-78880	41	7	seeks	seek	VERB
esrj-78880	41	8	to	to	PART
esrj-78880	41	9	validate	validate	VERB
esrj-78880	41	10	a	a	DET
esrj-78880	41	11	network	network	NOUN
esrj-78880	41	12	topology	topology	NOUN
esrj-78880	41	13	through	through	ADP
esrj-78880	41	14	the	the	DET
esrj-78880	41	15	cross	cross	NOUN
esrj-78880	41	16	-	-	NOUN
esrj-78880	41	17	validation	validation	ADJ
esrj-78880	41	18	(	(	PUNCT
esrj-78880	41	19	cv	cv	NOUN
esrj-78880	41	20	)	)	PUNCT
esrj-78880	41	21	technique	technique	NOUN
esrj-78880	41	22	by	by	ADP
esrj-78880	41	23	random	random	ADJ
esrj-78880	41	24	sampling	sampling	NOUN
esrj-78880	41	25	and	and	CCONJ
esrj-78880	41	26	compare	compare	VERB
esrj-78880	41	27	the	the	DET
esrj-78880	41	28	results	result	NOUN
esrj-78880	41	29	with	with	ADP
esrj-78880	41	30	those	those	PRON
esrj-78880	41	31	obtained	obtain	VERB
esrj-78880	41	32	in	in	ADP
esrj-78880	41	33	other	other	ADJ
esrj-78880	41	34	research	research	NOUN
esrj-78880	41	35	.	.	PUNCT
esrj-78880	42	1	literature	literature	NOUN
esrj-78880	42	2	review	review	VERB
esrj-78880	42	3	this	this	DET
esrj-78880	42	4	research	research	NOUN
esrj-78880	42	5	requires	require	VERB
esrj-78880	42	6	the	the	DET
esrj-78880	42	7	union	union	NOUN
esrj-78880	42	8	of	of	ADP
esrj-78880	42	9	two	two	NUM
esrj-78880	42	10	areas	area	NOUN
esrj-78880	42	11	of	of	ADP
esrj-78880	42	12	knowledge	knowledge	NOUN
esrj-78880	42	13	:	:	PUNCT
esrj-78880	42	14	geodesy	geodesy	NOUN
esrj-78880	42	15	,	,	PUNCT
esrj-78880	42	16	with	with	ADP
esrj-78880	42	17	a	a	DET
esrj-78880	42	18	gps	gps	NOUN
esrj-78880	42	19	problem	problem	NOUN
esrj-78880	42	20	in	in	ADP
esrj-78880	42	21	geomatics	geomatic	NOUN
esrj-78880	42	22	,	,	PUNCT
esrj-78880	42	23	and	and	CCONJ
esrj-78880	42	24	computer	computer	NOUN
esrj-78880	42	25	science	science	NOUN
esrj-78880	42	26	,	,	PUNCT
esrj-78880	42	27	with	with	ADP
esrj-78880	42	28	anns	anns	NOUN
esrj-78880	42	29	being	be	AUX
esrj-78880	42	30	a	a	DET
esrj-78880	42	31	possible	possible	ADJ
esrj-78880	42	32	solution	solution	NOUN
esrj-78880	42	33	.	.	PUNCT
esrj-78880	43	1	due	due	ADP
esrj-78880	43	2	to	to	ADP
esrj-78880	43	3	this	this	DET
esrj-78880	43	4	association	association	NOUN
esrj-78880	43	5	,	,	PUNCT
esrj-78880	43	6	it	it	PRON
esrj-78880	43	7	became	become	VERB
esrj-78880	43	8	necessary	necessary	ADJ
esrj-78880	43	9	to	to	PART
esrj-78880	43	10	detail	detail	VERB
esrj-78880	43	11	the	the	DET
esrj-78880	43	12	state	state	NOUN
esrj-78880	43	13	of	of	ADP
esrj-78880	43	14	the	the	DET
esrj-78880	43	15	art	art	NOUN
esrj-78880	43	16	of	of	ADP
esrj-78880	43	17	anns	ann	NOUN
esrj-78880	43	18	and	and	CCONJ
esrj-78880	43	19	their	their	PRON
esrj-78880	43	20	applications	application	NOUN
esrj-78880	43	21	in	in	ADP
esrj-78880	43	22	the	the	DET
esrj-78880	43	23	area	area	NOUN
esrj-78880	43	24	of	of	ADP
esrj-78880	43	25	geomatics	geomatics	PROPN
esrj-78880	43	26	and	and	CCONJ
esrj-78880	43	27	similar	similar	ADJ
esrj-78880	43	28	areas	area	NOUN
esrj-78880	43	29	.	.	PUNCT
esrj-78880	44	1	starting	start	VERB
esrj-78880	44	2	with	with	ADP
esrj-78880	44	3	the	the	DET
esrj-78880	44	4	ann	ann	PROPN
esrj-78880	44	5	theme	theme	NOUN
esrj-78880	44	6	,	,	PUNCT
esrj-78880	44	7	mcculloch	mcculloch	PROPN
esrj-78880	44	8	and	and	CCONJ
esrj-78880	44	9	pitts	pitt	NOUN
esrj-78880	44	10	(	(	PUNCT
esrj-78880	44	11	1943	1943	NUM
esrj-78880	44	12	)	)	PUNCT
esrj-78880	44	13	developed	develop	VERB
esrj-78880	44	14	the	the	DET
esrj-78880	44	15	concept	concept	NOUN
esrj-78880	44	16	of	of	ADP
esrj-78880	44	17	the	the	DET
esrj-78880	44	18	first	first	ADJ
esrj-78880	44	19	artificial	artificial	ADJ
esrj-78880	44	20	model	model	NOUN
esrj-78880	44	21	of	of	ADP
esrj-78880	44	22	a	a	DET
esrj-78880	44	23	biological	biological	ADJ
esrj-78880	44	24	neuron	neuron	NOUN
esrj-78880	44	25	,	,	PUNCT
esrj-78880	44	26	exhibiting	exhibit	VERB
esrj-78880	44	27	its	its	PRON
esrj-78880	44	28	computational	computational	ADJ
esrj-78880	44	29	capacities	capacity	NOUN
esrj-78880	44	30	.	.	PUNCT
esrj-78880	45	1	posteriorly	posteriorly	NOUN
esrj-78880	45	2	,	,	PUNCT
esrj-78880	45	3	rosenblatt	rosenblatt	NOUN
esrj-78880	45	4	(	(	PUNCT
esrj-78880	45	5	1958	1958	NUM
esrj-78880	45	6	)	)	PUNCT
esrj-78880	45	7	proposed	propose	VERB
esrj-78880	45	8	a	a	DET
esrj-78880	45	9	new	new	ADJ
esrj-78880	45	10	model	model	NOUN
esrj-78880	45	11	named	name	VERB
esrj-78880	45	12	perceptron	perceptron	PROPN
esrj-78880	45	13	.	.	PUNCT
esrj-78880	46	1	in	in	ADP
esrj-78880	46	2	the	the	DET
esrj-78880	46	3	following	following	ADJ
esrj-78880	46	4	years	year	NOUN
esrj-78880	46	5	,	,	PUNCT
esrj-78880	46	6	widrow	widrow	PROPN
esrj-78880	46	7	and	and	CCONJ
esrj-78880	46	8	hoff	hoff	PROPN
esrj-78880	46	9	(	(	PUNCT
esrj-78880	46	10	1960	1960	NUM
esrj-78880	46	11	)	)	PUNCT
esrj-78880	46	12	created	create	VERB
esrj-78880	46	13	the	the	DET
esrj-78880	46	14	delta	delta	NOUN
esrj-78880	46	15	learning	learn	VERB
esrj-78880	46	16	rule	rule	NOUN
esrj-78880	46	17	to	to	PART
esrj-78880	46	18	minimize	minimize	VERB
esrj-78880	46	19	the	the	DET
esrj-78880	46	20	errors	error	NOUN
esrj-78880	46	21	of	of	ADP
esrj-78880	46	22	an	an	DET
esrj-78880	46	23	ann	ann	PROPN
esrj-78880	46	24	based	base	VERB
esrj-78880	46	25	on	on	ADP
esrj-78880	46	26	gradient	gradient	ADJ
esrj-78880	46	27	descent	descent	NOUN
esrj-78880	46	28	.	.	PUNCT
esrj-78880	47	1	in	in	ADP
esrj-78880	47	2	1982	1982	NUM
esrj-78880	47	3	,	,	PUNCT
esrj-78880	47	4	hopfield	hopfield	PROPN
esrj-78880	47	5	’s	’s	PART
esrj-78880	47	6	proposition	proposition	NOUN
esrj-78880	47	7	of	of	ADP
esrj-78880	47	8	a	a	DET
esrj-78880	47	9	recurrent	recurrent	NOUN
esrj-78880	47	10	ann	ann	PROPN
esrj-78880	47	11	gave	give	VERB
esrj-78880	47	12	the	the	DET
esrj-78880	47	13	area	area	NOUN
esrj-78880	47	14	quite	quite	ADV
esrj-78880	47	15	prominence	prominence	NOUN
esrj-78880	47	16	,	,	PUNCT
esrj-78880	47	17	and	and	CCONJ
esrj-78880	47	18	in	in	ADP
esrj-78880	47	19	the	the	DET
esrj-78880	47	20	following	following	ADJ
esrj-78880	47	21	years	year	NOUN
esrj-78880	47	22	,	,	PUNCT
esrj-78880	47	23	the	the	DET
esrj-78880	47	24	backpropagation	backpropagation	NOUN
esrj-78880	47	25	algorithm	algorithm	NOUN
esrj-78880	47	26	creation	creation	NOUN
esrj-78880	47	27	(	(	PUNCT
esrj-78880	47	28	rumelhart	rumelhart	PROPN
esrj-78880	47	29	,	,	PUNCT
esrj-78880	47	30	hinton	hinton	PROPN
esrj-78880	47	31	,	,	PUNCT
esrj-78880	47	32	and	and	CCONJ
esrj-78880	47	33	williams	williams	PROPN
esrj-78880	47	34	,	,	PUNCT
esrj-78880	47	35	1986	1986	NUM
esrj-78880	47	36	)	)	PUNCT
esrj-78880	47	37	and	and	CCONJ
esrj-78880	47	38	computational	computational	ADJ
esrj-78880	47	39	advances	advance	NOUN
esrj-78880	47	40	have	have	AUX
esrj-78880	47	41	consecrated	consecrate	VERB
esrj-78880	47	42	the	the	DET
esrj-78880	47	43	ann	ann	PROPN
esrj-78880	47	44	studies	study	NOUN
esrj-78880	47	45	.	.	PUNCT
esrj-78880	48	1	several	several	ADJ
esrj-78880	48	2	practical	practical	ADJ
esrj-78880	48	3	applications	application	NOUN
esrj-78880	48	4	have	have	AUX
esrj-78880	48	5	since	since	ADV
esrj-78880	48	6	been	be	AUX
esrj-78880	48	7	performed	perform	VERB
esrj-78880	48	8	with	with	ADP
esrj-78880	48	9	anns	ann	NOUN
esrj-78880	48	10	.	.	PUNCT
esrj-78880	49	1	among	among	ADP
esrj-78880	49	2	the	the	DET
esrj-78880	49	3	research	research	NOUN
esrj-78880	49	4	developed	develop	VERB
esrj-78880	49	5	,	,	PUNCT
esrj-78880	49	6	there	there	PRON
esrj-78880	49	7	is	be	VERB
esrj-78880	49	8	a	a	DET
esrj-78880	49	9	current	current	NOUN
esrj-78880	49	10	that	that	PRON
esrj-78880	49	11	relates	relate	VERB
esrj-78880	49	12	them	they	PRON
esrj-78880	49	13	to	to	ADP
esrj-78880	49	14	the	the	DET
esrj-78880	49	15	satellite	satellite	NOUN
esrj-78880	49	16	positioning	positioning	NOUN
esrj-78880	49	17	segment	segment	NOUN
esrj-78880	49	18	with	with	ADP
esrj-78880	49	19	the	the	DET
esrj-78880	49	20	gnss	gnss	NOUN
esrj-78880	49	21	.	.	PUNCT
esrj-78880	50	1	in	in	ADP
esrj-78880	50	2	mosavi	mosavi	PROPN
esrj-78880	50	3	(	(	PUNCT
esrj-78880	50	4	2004	2004	NUM
esrj-78880	50	5	)	)	PUNCT
esrj-78880	50	6	,	,	PUNCT
esrj-78880	50	7	anns	ann	NOUN
esrj-78880	50	8	were	be	AUX
esrj-78880	50	9	used	use	VERB
esrj-78880	50	10	in	in	ADP
esrj-78880	50	11	the	the	DET
esrj-78880	50	12	estimation	estimation	NOUN
esrj-78880	50	13	of	of	ADP
esrj-78880	50	14	observations	observation	NOUN
esrj-78880	50	15	corrections	correction	NOUN
esrj-78880	50	16	for	for	ADP
esrj-78880	50	17	differential	differential	ADJ
esrj-78880	50	18	global	global	ADJ
esrj-78880	50	19	positioning	positioning	NOUN
esrj-78880	50	20	system	system	NOUN
esrj-78880	50	21	(	(	PUNCT
esrj-78880	50	22	dgps	dgps	PROPN
esrj-78880	50	23	)	)	PUNCT
esrj-78880	50	24	.	.	PUNCT
esrj-78880	51	1	furthermore	furthermore	ADV
esrj-78880	51	2	,	,	PUNCT
esrj-78880	51	3	kubik	kubik	PROPN
esrj-78880	51	4	and	and	CCONJ
esrj-78880	51	5	zhang	zhang	PROPN
esrj-78880	51	6	(	(	PUNCT
esrj-78880	51	7	1997	1997	NUM
esrj-78880	51	8	)	)	PUNCT
esrj-78880	51	9	and	and	CCONJ
esrj-78880	51	10	indriyatmoko	indriyatmoko	PROPN
esrj-78880	51	11	et	et	PROPN
esrj-78880	51	12	al	al	PROPN
esrj-78880	51	13	.	.	PROPN
esrj-78880	52	1	(	(	PUNCT
esrj-78880	52	2	2008	2008	NUM
esrj-78880	52	3	)	)	PUNCT
esrj-78880	52	4	also	also	ADV
esrj-78880	52	5	applied	apply	VERB
esrj-78880	52	6	the	the	DET
esrj-78880	52	7	ann	ann	PROPN
esrj-78880	52	8	tool	tool	NOUN
esrj-78880	52	9	to	to	PART
esrj-78880	52	10	predict	predict	VERB
esrj-78880	52	11	the	the	DET
esrj-78880	52	12	dgps	dgps	PROPN
esrj-78880	52	13	corrections	correction	NOUN
esrj-78880	52	14	.	.	PUNCT
esrj-78880	53	1	jwo	jwo	PROPN
esrj-78880	53	2	and	and	CCONJ
esrj-78880	53	3	chin	chin	PROPN
esrj-78880	53	4	(	(	PUNCT
esrj-78880	53	5	2002	2002	NUM
esrj-78880	53	6	)	)	PUNCT
esrj-78880	53	7	used	use	VERB
esrj-78880	53	8	a	a	DET
esrj-78880	53	9	superficial	superficial	ADJ
esrj-78880	53	10	ann	ann	NOUN
esrj-78880	53	11	to	to	PART
esrj-78880	53	12	determine	determine	VERB
esrj-78880	53	13	the	the	DET
esrj-78880	53	14	precision	precision	NOUN
esrj-78880	53	15	geometric	geometric	ADJ
esrj-78880	53	16	dilution	dilution	NOUN
esrj-78880	53	17	(	(	PUNCT
esrj-78880	53	18	gdop	gdop	PROPN
esrj-78880	53	19	)	)	PUNCT
esrj-78880	53	20	parameter	parameter	NOUN
esrj-78880	53	21	,	,	PUNCT
esrj-78880	53	22	and	and	CCONJ
esrj-78880	53	23	jwo	jwo	NOUN
esrj-78880	53	24	and	and	CCONJ
esrj-78880	53	25	lai	lai	PROPN
esrj-78880	53	26	(	(	PUNCT
esrj-78880	53	27	2007	2007	NUM
esrj-78880	53	28	)	)	PUNCT
esrj-78880	53	29	conducted	conduct	VERB
esrj-78880	53	30	tests	test	NOUN
esrj-78880	53	31	with	with	ADP
esrj-78880	53	32	several	several	ADJ
esrj-78880	53	33	architectures	architecture	NOUN
esrj-78880	53	34	and	and	CCONJ
esrj-78880	53	35	topologies	topology	NOUN
esrj-78880	53	36	,	,	PUNCT
esrj-78880	53	37	trying	try	VERB
esrj-78880	53	38	to	to	PART
esrj-78880	53	39	select	select	VERB
esrj-78880	53	40	the	the	DET
esrj-78880	53	41	ideal	ideal	ADJ
esrj-78880	53	42	configuration	configuration	NOUN
esrj-78880	53	43	to	to	PART
esrj-78880	53	44	estimate	estimate	VERB
esrj-78880	53	45	gdop	gdop	PROPN
esrj-78880	53	46	values	value	NOUN
esrj-78880	53	47	.	.	PUNCT
esrj-78880	54	1	the	the	DET
esrj-78880	54	2	results	result	NOUN
esrj-78880	54	3	showed	show	VERB
esrj-78880	54	4	that	that	SCONJ
esrj-78880	54	5	all	all	DET
esrj-78880	54	6	candidate	candidate	NOUN
esrj-78880	54	7	networks	network	NOUN
esrj-78880	54	8	met	meet	VERB
esrj-78880	54	9	expectations	expectation	NOUN
esrj-78880	54	10	regarding	regard	VERB
esrj-78880	54	11	the	the	DET
esrj-78880	54	12	accuracy	accuracy	NOUN
esrj-78880	54	13	of	of	ADP
esrj-78880	54	14	their	their	PRON
esrj-78880	54	15	outputs	output	NOUN
esrj-78880	54	16	,	,	PUNCT
esrj-78880	54	17	but	but	CCONJ
esrj-78880	54	18	those	those	PRON
esrj-78880	54	19	trained	train	VERB
esrj-78880	54	20	by	by	ADP
esrj-78880	54	21	the	the	DET
esrj-78880	54	22	backpropagation	backpropagation	NOUN
esrj-78880	54	23	algorithm	algorithm	NOUN
esrj-78880	54	24	presented	present	VERB
esrj-78880	54	25	a	a	DET
esrj-78880	54	26	longer	long	ADV
esrj-78880	54	27	learning	learn	VERB
esrj-78880	54	28	process	process	NOUN
esrj-78880	54	29	.	.	PUNCT
esrj-78880	55	1	in	in	ADP
esrj-78880	55	2	addition	addition	NOUN
esrj-78880	55	3	,	,	PUNCT
esrj-78880	55	4	a	a	DET
esrj-78880	55	5	recurrent	recurrent	ADJ
esrj-78880	55	6	wavelet	wavelet	NOUN
esrj-78880	55	7	neural	neural	ADJ
esrj-78880	55	8	network	network	NOUN
esrj-78880	55	9	(	(	PUNCT
esrj-78880	55	10	rwnn	rwnn	PROPN
esrj-78880	55	11	)	)	PUNCT
esrj-78880	55	12	was	be	AUX
esrj-78880	55	13	implemented	implement	VERB
esrj-78880	55	14	in	in	ADP
esrj-78880	55	15	mosavi	mosavi	PROPN
esrj-78880	55	16	(	(	PUNCT
esrj-78880	55	17	2007	2007	NUM
esrj-78880	55	18	)	)	PUNCT
esrj-78880	55	19	to	to	PART
esrj-78880	55	20	reduce	reduce	VERB
esrj-78880	55	21	gps	gps	PROPN
esrj-78880	55	22	receiver	receiver	NOUN
esrj-78880	55	23	time	time	NOUN
esrj-78880	55	24	data	datum	NOUN
esrj-78880	55	25	noise	noise	NOUN
esrj-78880	55	26	and	and	CCONJ
esrj-78880	55	27	to	to	PART
esrj-78880	55	28	model	model	VERB
esrj-78880	55	29	the	the	DET
esrj-78880	55	30	errors	error	NOUN
esrj-78880	55	31	of	of	ADP
esrj-78880	55	32	this	this	DET
esrj-78880	55	33	source	source	NOUN
esrj-78880	55	34	.	.	PUNCT
esrj-78880	56	1	anns	anns	PROPN
esrj-78880	56	2	were	be	AUX
esrj-78880	56	3	also	also	ADV
esrj-78880	56	4	applied	apply	VERB
esrj-78880	56	5	to	to	PART
esrj-78880	56	6	improve	improve	VERB
esrj-78880	56	7	positioning	positioning	NOUN
esrj-78880	56	8	during	during	ADP
esrj-78880	56	9	gps	gps	PROPN
esrj-78880	56	10	signal	signal	NOUN
esrj-78880	56	11	blocking	blocking	NOUN
esrj-78880	56	12	.	.	PUNCT
esrj-78880	57	1	semeniuk	semeniuk	NOUN
esrj-78880	57	2	and	and	CCONJ
esrj-78880	57	3	noureldin	noureldin	PROPN
esrj-78880	57	4	(	(	PUNCT
esrj-78880	57	5	2006	2006	NUM
esrj-78880	57	6	)	)	PUNCT
esrj-78880	57	7	,	,	PUNCT
esrj-78880	57	8	for	for	ADP
esrj-78880	57	9	instance	instance	NOUN
esrj-78880	57	10	,	,	PUNCT
esrj-78880	57	11	created	create	VERB
esrj-78880	57	12	an	an	DET
esrj-78880	57	13	alternative	alternative	ADJ
esrj-78880	57	14	method	method	NOUN
esrj-78880	57	15	based	base	VERB
esrj-78880	57	16	on	on	ADP
esrj-78880	57	17	an	an	DET
esrj-78880	57	18	ann	ann	PROPN
esrj-78880	57	19	that	that	PRON
esrj-78880	57	20	estimates	estimate	VERB
esrj-78880	57	21	the	the	DET
esrj-78880	57	22	speed	speed	NOUN
esrj-78880	57	23	and	and	CCONJ
esrj-78880	57	24	position	position	NOUN
esrj-78880	57	25	errors	error	NOUN
esrj-78880	57	26	of	of	ADP
esrj-78880	57	27	an	an	DET
esrj-78880	57	28	inertial	inertial	ADJ
esrj-78880	57	29	navigation	navigation	NOUN
esrj-78880	57	30	system	system	NOUN
esrj-78880	57	31	to	to	PART
esrj-78880	57	32	correct	correct	VERB
esrj-78880	57	33	and	and	CCONJ
esrj-78880	57	34	improve	improve	VERB
esrj-78880	57	35	positioning	positioning	NOUN
esrj-78880	57	36	in	in	ADP
esrj-78880	57	37	locations	location	NOUN
esrj-78880	57	38	where	where	SCONJ
esrj-78880	57	39	the	the	DET
esrj-78880	57	40	gps	gps	NOUN
esrj-78880	57	41	system	system	NOUN
esrj-78880	57	42	is	be	AUX
esrj-78880	57	43	not	not	PART
esrj-78880	57	44	available	available	ADJ
esrj-78880	57	45	.	.	PUNCT
esrj-78880	58	1	more	more	ADV
esrj-78880	58	2	recently	recently	ADV
esrj-78880	58	3	,	,	PUNCT
esrj-78880	58	4	a	a	DET
esrj-78880	58	5	hybrid	hybrid	NOUN
esrj-78880	58	6	between	between	ADP
esrj-78880	58	7	a	a	DET
esrj-78880	58	8	wavelet	wavelet	NOUN
esrj-78880	58	9	neural	neural	ADJ
esrj-78880	58	10	network	network	NOUN
esrj-78880	58	11	(	(	PUNCT
esrj-78880	58	12	wnn	wnn	PROPN
esrj-78880	58	13	)	)	PUNCT
esrj-78880	58	14	and	and	CCONJ
esrj-78880	58	15	the	the	DET
esrj-78880	58	16	strong	strong	ADJ
esrj-78880	58	17	tracking	track	VERB
esrj-78880	58	18	kalman	kalman	NOUN
esrj-78880	58	19	-	-	PUNCT
esrj-78880	58	20	filter	filter	NOUN
esrj-78880	58	21	(	(	PUNCT
esrj-78880	58	22	stkf	stkf	NOUN
esrj-78880	58	23	)	)	PUNCT
esrj-78880	58	24	was	be	AUX
esrj-78880	58	25	proposed	propose	VERB
esrj-78880	58	26	in	in	ADP
esrj-78880	58	27	an	an	DET
esrj-78880	58	28	attempt	attempt	NOUN
esrj-78880	58	29	to	to	PART
esrj-78880	58	30	improve	improve	VERB
esrj-78880	58	31	the	the	DET
esrj-78880	58	32	positioning	positioning	NOUN
esrj-78880	58	33	by	by	ADP
esrj-78880	58	34	satellites	satellite	NOUN
esrj-78880	58	35	during	during	ADP
esrj-78880	58	36	this	this	DET
esrj-78880	58	37	type	type	NOUN
esrj-78880	58	38	of	of	ADP
esrj-78880	58	39	situation	situation	NOUN
esrj-78880	58	40	(	(	PUNCT
esrj-78880	58	41	chen	chen	PROPN
esrj-78880	58	42	et	et	PROPN
esrj-78880	58	43	al	al	PROPN
esrj-78880	58	44	.	.	PROPN
esrj-78880	58	45	,	,	PUNCT
esrj-78880	58	46	2013	2013	NUM
esrj-78880	58	47	)	)	PUNCT
esrj-78880	58	48	.	.	PUNCT
esrj-78880	59	1	the	the	DET
esrj-78880	59	2	combination	combination	NOUN
esrj-78880	59	3	of	of	ADP
esrj-78880	59	4	these	these	DET
esrj-78880	59	5	two	two	NUM
esrj-78880	59	6	tools	tool	NOUN
esrj-78880	59	7	in	in	ADP
esrj-78880	59	8	the	the	DET
esrj-78880	59	9	work	work	NOUN
esrj-78880	59	10	of	of	ADP
esrj-78880	59	11	chen	chen	PROPN
esrj-78880	59	12	et	et	PROPN
esrj-78880	59	13	al	al	PROPN
esrj-78880	59	14	.	.	PROPN
esrj-78880	60	1	(	(	PUNCT
esrj-78880	60	2	2013	2013	NUM
esrj-78880	60	3	)	)	PUNCT
esrj-78880	60	4	was	be	AUX
esrj-78880	60	5	based	base	VERB
esrj-78880	60	6	on	on	ADP
esrj-78880	60	7	the	the	DET
esrj-78880	60	8	wnn	wnn	NOUN
esrj-78880	60	9	outstanding	outstanding	ADJ
esrj-78880	60	10	performance	performance	NOUN
esrj-78880	60	11	in	in	ADP
esrj-78880	60	12	data	datum	NOUN
esrj-78880	60	13	prediction	prediction	NOUN
esrj-78880	60	14	and	and	CCONJ
esrj-78880	60	15	on	on	ADP
esrj-78880	60	16	the	the	DET
esrj-78880	60	17	capacity	capacity	NOUN
esrj-78880	60	18	of	of	ADP
esrj-78880	60	19	the	the	DET
esrj-78880	60	20	stkf	stkf	NOUN
esrj-78880	60	21	to	to	PART
esrj-78880	60	22	estimate	estimate	VERB
esrj-78880	60	23	inertial	inertial	ADJ
esrj-78880	60	24	navigation	navigation	NOUN
esrj-78880	60	25	system	system	NOUN
esrj-78880	60	26	(	(	PUNCT
esrj-78880	60	27	ins	in	NOUN
esrj-78880	60	28	)	)	PUNCT
esrj-78880	60	29	errors	error	NOUN
esrj-78880	60	30	.	.	PUNCT
esrj-78880	61	1	thus	thus	ADV
esrj-78880	61	2	,	,	PUNCT
esrj-78880	61	3	it	it	PRON
esrj-78880	61	4	has	have	AUX
esrj-78880	61	5	been	be	AUX
esrj-78880	61	6	proposed	propose	VERB
esrj-78880	61	7	to	to	PART
esrj-78880	61	8	represent	represent	VERB
esrj-78880	61	9	a	a	DET
esrj-78880	61	10	sequential	sequential	ADJ
esrj-78880	61	11	process	process	NOUN
esrj-78880	61	12	because	because	SCONJ
esrj-78880	61	13	when	when	SCONJ
esrj-78880	61	14	there	there	PRON
esrj-78880	61	15	is	be	VERB
esrj-78880	61	16	no	no	DET
esrj-78880	61	17	blockage	blockage	NOUN
esrj-78880	61	18	in	in	ADP
esrj-78880	61	19	the	the	DET
esrj-78880	61	20	gps	gps	PROPN
esrj-78880	61	21	signal	signal	NOUN
esrj-78880	61	22	,	,	PUNCT
esrj-78880	61	23	the	the	DET
esrj-78880	61	24	wnn	wnn	NOUN
esrj-78880	61	25	is	be	AUX
esrj-78880	61	26	trained	train	VERB
esrj-78880	61	27	using	use	VERB
esrj-78880	61	28	the	the	DET
esrj-78880	61	29	predicted	predict	VERB
esrj-78880	61	30	prior	prior	ADJ
esrj-78880	61	31	positioning	positioning	NOUN
esrj-78880	61	32	errors	error	NOUN
esrj-78880	61	33	,	,	PUNCT
esrj-78880	61	34	which	which	PRON
esrj-78880	61	35	were	be	AUX
esrj-78880	61	36	provided	provide	VERB
esrj-78880	61	37	by	by	ADP
esrj-78880	61	38	the	the	DET
esrj-78880	61	39	stkf	stkf	NOUN
esrj-78880	61	40	,	,	PUNCT
esrj-78880	61	41	and	and	CCONJ
esrj-78880	61	42	it	it	PRON
esrj-78880	61	43	generates	generate	VERB
esrj-78880	61	44	,	,	PUNCT
esrj-78880	61	45	as	as	ADP
esrj-78880	61	46	an	an	DET
esrj-78880	61	47	output	output	NOUN
esrj-78880	61	48	,	,	PUNCT
esrj-78880	61	49	the	the	DET
esrj-78880	61	50	current	current	ADJ
esrj-78880	61	51	positioning	positioning	NOUN
esrj-78880	61	52	error	error	NOUN
esrj-78880	61	53	.	.	PUNCT
esrj-78880	62	1	approaching	approach	VERB
esrj-78880	62	2	the	the	DET
esrj-78880	62	3	topic	topic	NOUN
esrj-78880	62	4	of	of	ADP
esrj-78880	62	5	this	this	DET
esrj-78880	62	6	paper	paper	NOUN
esrj-78880	62	7	,	,	PUNCT
esrj-78880	62	8	silva	silva	NOUN
esrj-78880	62	9	(	(	PUNCT
esrj-78880	62	10	2003	2003	NUM
esrj-78880	62	11	)	)	PUNCT
esrj-78880	62	12	sought	seek	VERB
esrj-78880	62	13	to	to	PART
esrj-78880	62	14	improve	improve	VERB
esrj-78880	62	15	the	the	DET
esrj-78880	62	16	positioning	positioning	NOUN
esrj-78880	62	17	with	with	ADP
esrj-78880	62	18	single	single	ADJ
esrj-78880	62	19	-	-	PUNCT
esrj-78880	62	20	frequency	frequency	NOUN
esrj-78880	62	21	receivers	receiver	NOUN
esrj-78880	62	22	,	,	PUNCT
esrj-78880	62	23	creating	create	VERB
esrj-78880	62	24	a	a	DET
esrj-78880	62	25	method	method	NOUN
esrj-78880	62	26	to	to	PART
esrj-78880	62	27	estimate	estimate	VERB
esrj-78880	62	28	the	the	DET
esrj-78880	62	29	gps	gps	PROPN
esrj-78880	62	30	l2	l2	NOUN
esrj-78880	62	31	carrier	carrier	NOUN
esrj-78880	62	32	observables	observable	NOUN
esrj-78880	62	33	using	use	VERB
esrj-78880	62	34	an	an	DET
esrj-78880	62	35	ann	ann	PROPN
esrj-78880	62	36	.	.	PUNCT
esrj-78880	63	1	for	for	ADP
esrj-78880	63	2	estimating	estimate	VERB
esrj-78880	63	3	the	the	DET
esrj-78880	63	4	l2	l2	NOUN
esrj-78880	63	5	carrier	carrier	NOUN
esrj-78880	63	6	phase	phase	NOUN
esrj-78880	63	7	,	,	PUNCT
esrj-78880	63	8	an	an	DET
esrj-78880	63	9	mlp	mlp	NOUN
esrj-78880	63	10	with	with	ADP
esrj-78880	63	11	one	one	NUM
esrj-78880	63	12	hidden	hide	VERB
esrj-78880	63	13	layer	layer	NOUN
esrj-78880	63	14	and	and	CCONJ
esrj-78880	63	15	6	6	NUM
esrj-78880	63	16	artificial	artificial	ADJ
esrj-78880	63	17	neurons	neuron	NOUN
esrj-78880	63	18	was	be	AUX
esrj-78880	63	19	chosen	choose	VERB
esrj-78880	63	20	;	;	PUNCT
esrj-78880	63	21	for	for	ADP
esrj-78880	63	22	estimating	estimate	VERB
esrj-78880	63	23	the	the	DET
esrj-78880	63	24	l2	l2	NOUN
esrj-78880	63	25	carrier	carrier	NOUN
esrj-78880	63	26	code	code	PROPN
esrj-78880	63	27	,	,	PUNCT
esrj-78880	63	28	the	the	DET
esrj-78880	63	29	author	author	NOUN
esrj-78880	63	30	adopted	adopt	VERB
esrj-78880	63	31	the	the	DET
esrj-78880	63	32	same	same	ADJ
esrj-78880	63	33	architecture	architecture	NOUN
esrj-78880	63	34	but	but	CCONJ
esrj-78880	63	35	with	with	ADP
esrj-78880	63	36	30	30	NUM
esrj-78880	63	37	artificial	artificial	ADJ
esrj-78880	63	38	neurons	neuron	NOUN
esrj-78880	63	39	in	in	ADP
esrj-78880	63	40	one	one	NUM
esrj-78880	63	41	hidden	hide	VERB
esrj-78880	63	42	layer	layer	NOUN
esrj-78880	63	43	.	.	PUNCT
esrj-78880	64	1	both	both	DET
esrj-78880	64	2	configurations	configuration	NOUN
esrj-78880	64	3	were	be	AUX
esrj-78880	64	4	implemented	implement	VERB
esrj-78880	64	5	in	in	ADP
esrj-78880	64	6	matlab	matlab	PROPN
esrj-78880	64	7	6.1	6.1	NUM
esrj-78880	64	8	and	and	CCONJ
esrj-78880	64	9	trained	train	VERB
esrj-78880	64	10	by	by	ADP
esrj-78880	64	11	the	the	DET
esrj-78880	64	12	levenberg	levenberg	PROPN
esrj-78880	64	13	-	-	PUNCT
esrj-78880	64	14	marquardt	marquardt	PROPN
esrj-78880	64	15	algorithm	algorithm	PROPN
esrj-78880	64	16	,	,	PUNCT
esrj-78880	64	17	reaching	reach	VERB
esrj-78880	64	18	up	up	ADP
esrj-78880	64	19	to	to	PART
esrj-78880	64	20	5,000	5,000	NUM
esrj-78880	64	21	iterations	iteration	NOUN
esrj-78880	64	22	.	.	PUNCT
esrj-78880	65	1	the	the	DET
esrj-78880	65	2	results	result	NOUN
esrj-78880	65	3	of	of	ADP
esrj-78880	65	4	silva	silva	NOUN
esrj-78880	65	5	(	(	PUNCT
esrj-78880	65	6	2003	2003	NUM
esrj-78880	65	7	)	)	PUNCT
esrj-78880	65	8	indicate	indicate	VERB
esrj-78880	65	9	that	that	SCONJ
esrj-78880	65	10	the	the	DET
esrj-78880	65	11	tool	tool	NOUN
esrj-78880	65	12	can	can	AUX
esrj-78880	65	13	successfully	successfully	ADV
esrj-78880	65	14	model	model	VERB
esrj-78880	65	15	the	the	DET
esrj-78880	65	16	observable	observable	ADJ
esrj-78880	65	17	behavior	behavior	NOUN
esrj-78880	65	18	.	.	PUNCT
esrj-78880	66	1	in	in	ADP
esrj-78880	66	2	another	another	DET
esrj-78880	66	3	investigation	investigation	NOUN
esrj-78880	66	4	,	,	PUNCT
esrj-78880	66	5	leandro	leandro	PROPN
esrj-78880	66	6	,	,	PUNCT
esrj-78880	66	7	silva	silva	NOUN
esrj-78880	66	8	and	and	CCONJ
esrj-78880	66	9	santos	santos	PROPN
esrj-78880	66	10	(	(	PUNCT
esrj-78880	66	11	2007	2007	NUM
esrj-78880	66	12	)	)	PUNCT
esrj-78880	66	13	evaluated	evaluate	VERB
esrj-78880	66	14	the	the	DET
esrj-78880	66	15	best	good	ADJ
esrj-78880	66	16	method	method	NOUN
esrj-78880	66	17	for	for	ADP
esrj-78880	66	18	feeding	feed	VERB
esrj-78880	66	19	an	an	DET
esrj-78880	66	20	ann	ann	PROPN
esrj-78880	66	21	with	with	ADP
esrj-78880	66	22	gps	gps	PROPN
esrj-78880	66	23	observations	observation	NOUN
esrj-78880	66	24	.	.	PUNCT
esrj-78880	67	1	in	in	ADP
esrj-78880	67	2	addition	addition	NOUN
esrj-78880	67	3	,	,	PUNCT
esrj-78880	67	4	mazzetto	mazzetto	NOUN
esrj-78880	67	5	(	(	PUNCT
esrj-78880	67	6	2017	2017	NUM
esrj-78880	67	7	)	)	PUNCT
esrj-78880	67	8	,	,	PUNCT
esrj-78880	67	9	adopting	adopt	VERB
esrj-78880	67	10	the	the	DET
esrj-78880	67	11	same	same	ADJ
esrj-78880	67	12	topologies	topology	NOUN
esrj-78880	67	13	indicated	indicate	VERB
esrj-78880	67	14	by	by	ADP
esrj-78880	67	15	silva	silva	NOUN
esrj-78880	67	16	(	(	PUNCT
esrj-78880	67	17	2003	2003	NUM
esrj-78880	67	18	)	)	PUNCT
esrj-78880	67	19	,	,	PUNCT
esrj-78880	67	20	proposed	propose	VERB
esrj-78880	67	21	a	a	DET
esrj-78880	67	22	method	method	NOUN
esrj-78880	67	23	in	in	ADP
esrj-78880	67	24	which	which	PRON
esrj-78880	67	25	only	only	ADV
esrj-78880	67	26	the	the	DET
esrj-78880	67	27	signals	signal	NOUN
esrj-78880	67	28	with	with	ADP
esrj-78880	67	29	higher	high	ADJ
esrj-78880	67	30	strength	strength	NOUN
esrj-78880	67	31	obtained	obtain	VERB
esrj-78880	67	32	in	in	ADP
esrj-78880	67	33	four	four	NUM
esrj-78880	67	34	stations	station	NOUN
esrj-78880	67	35	near	near	ADP
esrj-78880	67	36	the	the	DET
esrj-78880	67	37	receiver	receiver	NOUN
esrj-78880	67	38	,	,	PUNCT
esrj-78880	67	39	where	where	SCONJ
esrj-78880	67	40	it	it	PRON
esrj-78880	67	41	is	be	AUX
esrj-78880	67	42	desired	desire	VERB
esrj-78880	67	43	to	to	PART
esrj-78880	67	44	estimate	estimate	VERB
esrj-78880	67	45	the	the	DET
esrj-78880	67	46	observables	observable	NOUN
esrj-78880	67	47	,	,	PUNCT
esrj-78880	67	48	should	should	AUX
esrj-78880	67	49	be	be	AUX
esrj-78880	67	50	used	use	VERB
esrj-78880	67	51	because	because	SCONJ
esrj-78880	67	52	,	,	PUNCT
esrj-78880	67	53	theoretically	theoretically	ADV
esrj-78880	67	54	,	,	PUNCT
esrj-78880	67	55	they	they	PRON
esrj-78880	67	56	experience	experience	VERB
esrj-78880	67	57	the	the	DET
esrj-78880	67	58	same	same	ADJ
esrj-78880	67	59	atmospheric	atmospheric	ADJ
esrj-78880	67	60	effects	effect	NOUN
esrj-78880	67	61	.	.	PUNCT
esrj-78880	68	1	in	in	ADP
esrj-78880	68	2	this	this	DET
esrj-78880	68	3	research	research	NOUN
esrj-78880	68	4	,	,	PUNCT
esrj-78880	68	5	ann	ann	PROPN
esrj-78880	68	6	training	training	NOUN
esrj-78880	68	7	processes	process	NOUN
esrj-78880	68	8	required	require	VERB
esrj-78880	68	9	up	up	ADP
esrj-78880	68	10	to	to	PART
esrj-78880	68	11	8	8	NUM
esrj-78880	68	12	minutes	minute	NOUN
esrj-78880	68	13	and	and	CCONJ
esrj-78880	68	14	15,000	15,000	NUM
esrj-78880	68	15	iterations	iteration	NOUN
esrj-78880	68	16	to	to	PART
esrj-78880	68	17	complete	complete	VERB
esrj-78880	68	18	.	.	PUNCT
esrj-78880	69	1	although	although	SCONJ
esrj-78880	69	2	so	so	ADV
esrj-78880	69	3	much	much	ADJ
esrj-78880	69	4	time	time	NOUN
esrj-78880	69	5	has	have	AUX
esrj-78880	69	6	been	be	AUX
esrj-78880	69	7	expended	expend	VERB
esrj-78880	69	8	,	,	PUNCT
esrj-78880	69	9	some	some	DET
esrj-78880	69	10	validation	validation	NOUN
esrj-78880	69	11	mse	mse	NOUN
esrj-78880	69	12	values	value	NOUN
esrj-78880	69	13	were	be	AUX
esrj-78880	69	14	quite	quite	ADV
esrj-78880	69	15	high	high	ADJ
esrj-78880	69	16	and	and	CCONJ
esrj-78880	69	17	not	not	PART
esrj-78880	69	18	converging	converge	VERB
esrj-78880	69	19	as	as	SCONJ
esrj-78880	69	20	expected	expect	VERB
esrj-78880	69	21	.	.	PUNCT
esrj-78880	70	1	despite	despite	SCONJ
esrj-78880	70	2	these	these	DET
esrj-78880	70	3	factors	factor	NOUN
esrj-78880	70	4	,	,	PUNCT
esrj-78880	70	5	he	he	PRON
esrj-78880	70	6	was	be	AUX
esrj-78880	70	7	able	able	ADJ
esrj-78880	70	8	to	to	PART
esrj-78880	70	9	increase	increase	VERB
esrj-78880	70	10	the	the	DET
esrj-78880	70	11	prediction	prediction	NOUN
esrj-78880	70	12	time	time	NOUN
esrj-78880	70	13	of	of	ADP
esrj-78880	70	14	the	the	DET
esrj-78880	70	15	gps	gps	PROPN
esrj-78880	70	16	observables	observable	NOUN
esrj-78880	70	17	and	and	CCONJ
esrj-78880	70	18	improve	improve	VERB
esrj-78880	70	19	the	the	DET
esrj-78880	70	20	positioning	positioning	NOUN
esrj-78880	70	21	accuracy	accuracy	NOUN
esrj-78880	70	22	in	in	ADP
esrj-78880	70	23	certain	certain	ADJ
esrj-78880	70	24	tests	test	NOUN
esrj-78880	70	25	performed	perform	VERB
esrj-78880	70	26	.	.	PUNCT
esrj-78880	71	1	the	the	DET
esrj-78880	71	2	literature	literature	PROPN
esrj-78880	71	3	review	review	NOUN
esrj-78880	71	4	showed	show	VERB
esrj-78880	71	5	that	that	SCONJ
esrj-78880	71	6	the	the	DET
esrj-78880	71	7	studies	study	NOUN
esrj-78880	71	8	used	use	VERB
esrj-78880	71	9	only	only	ADV
esrj-78880	71	10	an	an	DET
esrj-78880	71	11	intermediate	intermediate	ADJ
esrj-78880	71	12	layer	layer	NOUN
esrj-78880	71	13	ann	ann	PROPN
esrj-78880	71	14	to	to	PART
esrj-78880	71	15	estimate	estimate	VERB
esrj-78880	71	16	the	the	DET
esrj-78880	71	17	gps	gps	PROPN
esrj-78880	71	18	l2	l2	NOUN
esrj-78880	71	19	carrier	carrier	NOUN
esrj-78880	71	20	observables	observable	NOUN
esrj-78880	71	21	.	.	PUNCT
esrj-78880	72	1	in	in	ADP
esrj-78880	72	2	addition	addition	NOUN
esrj-78880	72	3	,	,	PUNCT
esrj-78880	72	4	there	there	PRON
esrj-78880	72	5	is	be	VERB
esrj-78880	72	6	no	no	DET
esrj-78880	72	7	ann	ann	PROPN
esrj-78880	72	8	topology	topology	NOUN
esrj-78880	72	9	validated	validate	VERB
esrj-78880	72	10	through	through	ADP
esrj-78880	72	11	the	the	DET
esrj-78880	72	12	cv	cv	PROPN
esrj-78880	72	13	technique	technique	NOUN
esrj-78880	72	14	to	to	PART
esrj-78880	72	15	estimate	estimate	VERB
esrj-78880	72	16	the	the	DET
esrj-78880	72	17	gps	gps	PROPN
esrj-78880	72	18	l2	l2	NOUN
esrj-78880	72	19	carrier	carrier	NOUN
esrj-78880	72	20	observables	observable	NOUN
esrj-78880	72	21	.	.	PUNCT
esrj-78880	73	1	therefore	therefore	ADV
esrj-78880	73	2	,	,	PUNCT
esrj-78880	73	3	the	the	DET
esrj-78880	73	4	use	use	NOUN
esrj-78880	73	5	of	of	ADP
esrj-78880	73	6	an	an	DET
esrj-78880	73	7	appropriate	appropriate	ADJ
esrj-78880	73	8	ann	ann	NOUN
esrj-78880	73	9	model	model	NOUN
esrj-78880	73	10	to	to	PART
esrj-78880	73	11	estimate	estimate	VERB
esrj-78880	73	12	the	the	DET
esrj-78880	73	13	l2	l2	NOUN
esrj-78880	73	14	carrier	carrier	NOUN
esrj-78880	73	15	data	datum	NOUN
esrj-78880	73	16	,	,	PUNCT
esrj-78880	73	17	capable	capable	ADJ
esrj-78880	73	18	of	of	ADP
esrj-78880	73	19	extracting	extract	VERB
esrj-78880	73	20	the	the	DET
esrj-78880	73	21	characteristics	characteristic	NOUN
esrj-78880	73	22	of	of	ADP
esrj-78880	73	23	the	the	DET
esrj-78880	73	24	process	process	NOUN
esrj-78880	73	25	more	more	ADV
esrj-78880	73	26	efficiently	efficiently	ADV
esrj-78880	73	27	than	than	ADP
esrj-78880	73	28	a	a	DET
esrj-78880	73	29	shallow	shallow	ADJ
esrj-78880	73	30	mlp	mlp	NOUN
esrj-78880	73	31	and	and	CCONJ
esrj-78880	73	32	being	be	AUX
esrj-78880	73	33	tolerant	tolerant	ADJ
esrj-78880	73	34	to	to	ADP
esrj-78880	73	35	the	the	DET
esrj-78880	73	36	noises	noise	NOUN
esrj-78880	73	37	present	present	ADJ
esrj-78880	73	38	in	in	ADP
esrj-78880	73	39	the	the	DET
esrj-78880	73	40	input	input	NOUN
esrj-78880	73	41	signals	signal	NOUN
esrj-78880	73	42	,	,	PUNCT
esrj-78880	73	43	represents	represent	VERB
esrj-78880	73	44	an	an	DET
esrj-78880	73	45	important	important	ADJ
esrj-78880	73	46	step	step	NOUN
esrj-78880	73	47	towards	towards	ADP
esrj-78880	73	48	the	the	DET
esrj-78880	73	49	enhancement	enhancement	NOUN
esrj-78880	73	50	of	of	ADP
esrj-78880	73	51	postprocessed	postprocesse	VERB
esrj-78880	73	52	solutions	solution	NOUN
esrj-78880	73	53	with	with	ADP
esrj-78880	73	54	single	single	ADJ
esrj-78880	73	55	-	-	PUNCT
esrj-78880	73	56	frequency	frequency	NOUN
esrj-78880	73	57	devices	device	NOUN
esrj-78880	73	58	.	.	PUNCT
esrj-78880	74	1	materials	material	NOUN
esrj-78880	74	2	and	and	CCONJ
esrj-78880	74	3	methods	method	NOUN
esrj-78880	74	4	in	in	ADP
esrj-78880	74	5	this	this	DET
esrj-78880	74	6	investigation	investigation	NOUN
esrj-78880	74	7	,	,	PUNCT
esrj-78880	74	8	it	it	PRON
esrj-78880	74	9	was	be	AUX
esrj-78880	74	10	decided	decide	VERB
esrj-78880	74	11	to	to	PART
esrj-78880	74	12	implement	implement	VERB
esrj-78880	74	13	the	the	DET
esrj-78880	74	14	network	network	NOUN
esrj-78880	74	15	in	in	ADP
esrj-78880	74	16	the	the	DET
esrj-78880	74	17	tensorflow	tensorflow	NOUN
esrj-78880	74	18	library	library	NOUN
esrj-78880	74	19	through	through	ADP
esrj-78880	74	20	the	the	DET
esrj-78880	74	21	python	python	NOUN
esrj-78880	74	22	language	language	NOUN
esrj-78880	74	23	.	.	PUNCT
esrj-78880	75	1	designed	design	VERB
esrj-78880	75	2	initially	initially	ADV
esrj-78880	75	3	for	for	ADP
esrj-78880	75	4	machine	machine	NOUN
esrj-78880	75	5	learning	learn	VERB
esrj-78880	75	6	applications	application	NOUN
esrj-78880	75	7	,	,	PUNCT
esrj-78880	75	8	the	the	DET
esrj-78880	75	9	low	low	ADJ
esrj-78880	75	10	-	-	PUNCT
esrj-78880	75	11	level	level	NOUN
esrj-78880	75	12	structure	structure	NOUN
esrj-78880	75	13	tool	tool	NOUN
esrj-78880	75	14	is	be	AUX
esrj-78880	75	15	currently	currently	ADV
esrj-78880	75	16	being	be	AUX
esrj-78880	75	17	used	use	VERB
esrj-78880	75	18	in	in	ADP
esrj-78880	75	19	different	different	ADJ
esrj-78880	75	20	fields	field	NOUN
esrj-78880	75	21	and	and	CCONJ
esrj-78880	75	22	by	by	ADP
esrj-78880	75	23	several	several	ADJ
esrj-78880	75	24	large	large	ADJ
esrj-78880	75	25	companies	company	NOUN
esrj-78880	75	26	(	(	PUNCT
esrj-78880	75	27	tensorflow	tensorflow	NOUN
esrj-78880	75	28	,	,	PUNCT
esrj-78880	75	29	2018	2018	NUM
esrj-78880	75	30	)	)	PUNCT
esrj-78880	75	31	.	.	PUNCT
esrj-78880	76	1	to	to	PART
esrj-78880	76	2	select	select	VERB
esrj-78880	76	3	the	the	DET
esrj-78880	76	4	appropriate	appropriate	ADJ
esrj-78880	76	5	ann	ann	PROPN
esrj-78880	76	6	model	model	NOUN
esrj-78880	76	7	,	,	PUNCT
esrj-78880	76	8	the	the	DET
esrj-78880	76	9	cv	cv	PROPN
esrj-78880	76	10	technique	technique	NOUN
esrj-78880	76	11	was	be	AUX
esrj-78880	76	12	applied	apply	VERB
esrj-78880	76	13	,	,	PUNCT
esrj-78880	76	14	bypassing	bypass	VERB
esrj-78880	76	15	the	the	DET
esrj-78880	76	16	training	training	NOUN
esrj-78880	76	17	and	and	CCONJ
esrj-78880	76	18	validation	validation	NOUN
esrj-78880	76	19	samples	sample	NOUN
esrj-78880	76	20	,	,	PUNCT
esrj-78880	76	21	which	which	PRON
esrj-78880	76	22	were	be	AUX
esrj-78880	76	23	obtained	obtain	VERB
esrj-78880	76	24	in	in	ADP
esrj-78880	76	25	the	the	DET
esrj-78880	76	26	dual	dual	ADJ
esrj-78880	76	27	-	-	PUNCT
esrj-78880	76	28	frequency	frequency	NOUN
esrj-78880	76	29	rinex	rinex	NOUN
esrj-78880	76	30	files	file	NOUN
esrj-78880	76	31	generated	generate	VERB
esrj-78880	76	32	in	in	ADP
esrj-78880	76	33	the	the	DET
esrj-78880	76	34	inconfidentes	inconfidente	NOUN
esrj-78880	76	35	/	/	SYM
esrj-78880	76	36	mg	mg	PROPN
esrj-78880	76	37	(	(	PUNCT
esrj-78880	76	38	mgin	mgin	NOUN
esrj-78880	76	39	)	)	PUNCT
esrj-78880	76	40	,	,	PUNCT
esrj-78880	76	41	piracicaba	piracicaba	PROPN
esrj-78880	76	42	/	/	SYM
esrj-78880	76	43	sp	sp	NOUN
esrj-78880	76	44	(	(	PUNCT
esrj-78880	76	45	sppi	sppi	PROPN
esrj-78880	76	46	)	)	PUNCT
esrj-78880	76	47	,	,	PUNCT
esrj-78880	76	48	lins	lins	PROPN
esrj-78880	76	49	/	/	SYM
esrj-78880	76	50	sp	sp	NOUN
esrj-78880	76	51	(	(	PUNCT
esrj-78880	76	52	spli	spli	NOUN
esrj-78880	76	53	)	)	PUNCT
esrj-78880	76	54	and	and	CCONJ
esrj-78880	76	55	jaboticabal	jaboticabal	ADJ
esrj-78880	76	56	/	/	SYM
esrj-78880	76	57	sp	sp	NOUN
esrj-78880	76	58	(	(	PUNCT
esrj-78880	76	59	spja	spja	NOUN
esrj-78880	76	60	)	)	PUNCT
esrj-78880	76	61	stations	station	NOUN
esrj-78880	76	62	.	.	PUNCT
esrj-78880	77	1	then	then	ADV
esrj-78880	77	2	,	,	PUNCT
esrj-78880	77	3	the	the	DET
esrj-78880	77	4	ann	ann	PROPN
esrj-78880	77	5	was	be	AUX
esrj-78880	77	6	tested	test	VERB
esrj-78880	77	7	in	in	ADP
esrj-78880	77	8	the	the	DET
esrj-78880	77	9	l1	l1	PROPN
esrj-78880	77	10	carrier	carrier	NOUN
esrj-78880	77	11	observables	observable	NOUN
esrj-78880	77	12	generated	generate	VERB
esrj-78880	77	13	in	in	ADP
esrj-78880	77	14	the	the	DET
esrj-78880	77	15	receiver	receiver	NOUN
esrj-78880	77	16	fixed	fix	VERB
esrj-78880	77	17	in	in	ADP
esrj-78880	77	18	são	são	PROPN
esrj-78880	77	19	carlos	carlos	PROPN
esrj-78880	77	20	/	/	SYM
esrj-78880	77	21	sp	sp	PROPN
esrj-78880	77	22	(	(	PUNCT
esrj-78880	77	23	eesc	eesc	NOUN
esrj-78880	77	24	)	)	PUNCT
esrj-78880	77	25	.	.	PUNCT
esrj-78880	78	1	figure	figure	NOUN
esrj-78880	78	2	1	1	NUM
esrj-78880	78	3	shows	show	VERB
esrj-78880	78	4	this	this	DET
esrj-78880	78	5	configuration	configuration	NOUN
esrj-78880	78	6	,	,	PUNCT
esrj-78880	78	7	chosen	choose	VERB
esrj-78880	78	8	to	to	PART
esrj-78880	78	9	compare	compare	VERB
esrj-78880	78	10	the	the	DET
esrj-78880	78	11	results	result	NOUN
esrj-78880	78	12	obtained	obtain	VERB
esrj-78880	78	13	with	with	ADP
esrj-78880	78	14	those	those	PRON
esrj-78880	78	15	obtained	obtain	VERB
esrj-78880	78	16	in	in	ADP
esrj-78880	78	17	previous	previous	ADJ
esrj-78880	78	18	works	work	NOUN
esrj-78880	78	19	,	,	PUNCT
esrj-78880	78	20	99	99	NUM
esrj-78880	78	21	estimation	estimation	NOUN
esrj-78880	78	22	of	of	ADP
esrj-78880	78	23	gps	gps	PROPN
esrj-78880	78	24	l2	l2	NOUN
esrj-78880	78	25	signal	signal	NOUN
esrj-78880	78	26	observables	observable	NOUN
esrj-78880	78	27	using	use	VERB
esrj-78880	78	28	multilayer	multilayer	ADJ
esrj-78880	78	29	perceptron	perceptron	PROPN
esrj-78880	78	30	artificial	artificial	ADJ
esrj-78880	78	31	neural	neural	ADJ
esrj-78880	78	32	network	network	NOUN
esrj-78880	78	33	for	for	ADP
esrj-78880	78	34	positional	positional	ADJ
esrj-78880	78	35	accuracy	accuracy	NOUN
esrj-78880	78	36	improvement	improvement	NOUN
esrj-78880	78	37	in	in	ADP
esrj-78880	78	38	the	the	DET
esrj-78880	78	39	receiver	receiver	NOUN
esrj-78880	78	40	.	.	PUNCT
esrj-78880	79	1	in	in	ADP
esrj-78880	79	2	addition	addition	NOUN
esrj-78880	79	3	,	,	PUNCT
esrj-78880	79	4	the	the	DET
esrj-78880	79	5	positioning	positioning	NOUN
esrj-78880	79	6	solutions	solution	NOUN
esrj-78880	79	7	originated	originate	VERB
esrj-78880	79	8	based	base	VERB
esrj-78880	79	9	on	on	ADP
esrj-78880	79	10	data	datum	NOUN
esrj-78880	79	11	postprocessing	postprocessing	NOUN
esrj-78880	79	12	.	.	PUNCT
esrj-78880	80	1	for	for	ADP
esrj-78880	80	2	the	the	DET
esrj-78880	80	3	extraction	extraction	NOUN
esrj-78880	80	4	of	of	ADP
esrj-78880	80	5	the	the	DET
esrj-78880	80	6	gps	gps	NOUN
esrj-78880	80	7	observables	observable	NOUN
esrj-78880	80	8	from	from	ADP
esrj-78880	80	9	the	the	DET
esrj-78880	80	10	rbmc	rbmc	NOUN
esrj-78880	80	11	station	station	NOUN
esrj-78880	80	12	rinex	rinex	NOUN
esrj-78880	80	13	files	file	NOUN
esrj-78880	80	14	,	,	PUNCT
esrj-78880	80	15	the	the	DET
esrj-78880	80	16	rinex	rinex	NOUN
esrj-78880	80	17	adapter	adapter	NOUN
esrj-78880	80	18	software	software	NOUN
esrj-78880	80	19	was	be	AUX
esrj-78880	80	20	used	use	VERB
esrj-78880	80	21	.	.	PUNCT
esrj-78880	81	1	this	this	DET
esrj-78880	81	2	program	program	NOUN
esrj-78880	81	3	was	be	AUX
esrj-78880	81	4	developed	develop	VERB
esrj-78880	81	5	in	in	ADP
esrj-78880	81	6	the	the	DET
esrj-78880	81	7	research	research	NOUN
esrj-78880	81	8	of	of	ADP
esrj-78880	81	9	mazzetto	mazzetto	NOUN
esrj-78880	81	10	(	(	PUNCT
esrj-78880	81	11	2017	2017	NUM
esrj-78880	81	12	)	)	PUNCT
esrj-78880	81	13	.	.	PUNCT
esrj-78880	82	1	in	in	ADP
esrj-78880	82	2	the	the	DET
esrj-78880	82	3	creation	creation	NOUN
esrj-78880	82	4	of	of	ADP
esrj-78880	82	5	new	new	ADJ
esrj-78880	82	6	rinex	rinex	NOUN
esrj-78880	82	7	files	file	NOUN
esrj-78880	82	8	with	with	ADP
esrj-78880	82	9	the	the	DET
esrj-78880	82	10	artificial	artificial	ADJ
esrj-78880	82	11	observables	observable	NOUN
esrj-78880	82	12	,	,	PUNCT
esrj-78880	82	13	the	the	DET
esrj-78880	82	14	software	software	NOUN
esrj-78880	82	15	deletes	delete	VERB
esrj-78880	82	16	the	the	DET
esrj-78880	82	17	original	original	ADJ
esrj-78880	82	18	l2	l2	NOUN
esrj-78880	82	19	carrier	carrier	NOUN
esrj-78880	82	20	data	datum	NOUN
esrj-78880	82	21	and	and	CCONJ
esrj-78880	82	22	multiplies	multiplie	NOUN
esrj-78880	82	23	the	the	DET
esrj-78880	82	24	l1	l1	PROPN
esrj-78880	82	25	carrier	carrier	NOUN
esrj-78880	82	26	phase	phase	NOUN
esrj-78880	82	27	values	value	NOUN
esrj-78880	82	28	in	in	ADP
esrj-78880	82	29	the	the	DET
esrj-78880	82	30	first	first	ADJ
esrj-78880	82	31	epoch	epoch	NOUN
esrj-78880	82	32	(	(	PUNCT
esrj-78880	82	33	from	from	ADP
esrj-78880	82	34	each	each	DET
esrj-78880	82	35	satellite	satellite	NOUN
esrj-78880	82	36	)	)	PUNCT
esrj-78880	82	37	by	by	ADP
esrj-78880	82	38	a	a	DET
esrj-78880	82	39	factor	factor	NOUN
esrj-78880	82	40	k	k	NOUN
esrj-78880	82	41	,	,	PUNCT
esrj-78880	82	42	or	or	CCONJ
esrj-78880	82	43	any	any	DET
esrj-78880	82	44	other	other	ADJ
esrj-78880	82	45	desired	desire	VERB
esrj-78880	82	46	value	value	NOUN
esrj-78880	82	47	,	,	PUNCT
esrj-78880	82	48	to	to	PART
esrj-78880	82	49	determine	determine	VERB
esrj-78880	82	50	the	the	DET
esrj-78880	82	51	initial	initial	ADJ
esrj-78880	82	52	number	number	NOUN
esrj-78880	82	53	of	of	ADP
esrj-78880	82	54	the	the	DET
esrj-78880	82	55	l2	l2	NOUN
esrj-78880	82	56	carrier	carrier	NOUN
esrj-78880	82	57	phase	phase	NOUN
esrj-78880	82	58	since	since	SCONJ
esrj-78880	82	59	the	the	DET
esrj-78880	82	60	ambiguity	ambiguity	NOUN
esrj-78880	82	61	term	term	NOUN
esrj-78880	82	62	is	be	AUX
esrj-78880	82	63	unknown	unknown	ADJ
esrj-78880	82	64	.	.	PUNCT
esrj-78880	83	1	the	the	DET
esrj-78880	83	2	generation	generation	NOUN
esrj-78880	83	3	of	of	ADP
esrj-78880	83	4	observations	observation	NOUN
esrj-78880	83	5	occurred	occur	VERB
esrj-78880	83	6	differently	differently	ADV
esrj-78880	83	7	for	for	ADP
esrj-78880	83	8	each	each	DET
esrj-78880	83	9	type	type	NOUN
esrj-78880	83	10	of	of	ADP
esrj-78880	83	11	observable	observable	ADJ
esrj-78880	83	12	,	,	PUNCT
esrj-78880	83	13	as	as	SCONJ
esrj-78880	83	14	these	these	PRON
esrj-78880	83	15	do	do	AUX
esrj-78880	83	16	not	not	PART
esrj-78880	83	17	behave	behave	VERB
esrj-78880	83	18	equally	equally	ADV
esrj-78880	83	19	over	over	ADP
esrj-78880	83	20	time	time	NOUN
esrj-78880	83	21	.	.	PUNCT
esrj-78880	84	1	thus	thus	ADV
esrj-78880	84	2	,	,	PUNCT
esrj-78880	84	3	two	two	NUM
esrj-78880	84	4	ann	ann	PROPN
esrj-78880	84	5	models	model	NOUN
esrj-78880	84	6	were	be	AUX
esrj-78880	84	7	implemented	implement	VERB
esrj-78880	84	8	:	:	PUNCT
esrj-78880	84	9	one	one	NUM
esrj-78880	84	10	that	that	PRON
esrj-78880	84	11	used	use	VERB
esrj-78880	84	12	the	the	DET
esrj-78880	84	13	phase	phase	NOUN
esrj-78880	84	14	differences	difference	NOUN
esrj-78880	84	15	of	of	ADP
esrj-78880	84	16	the	the	DET
esrj-78880	84	17	l1	l1	PROPN
esrj-78880	84	18	carrier	carrier	NOUN
esrj-78880	84	19	as	as	ADP
esrj-78880	84	20	the	the	DET
esrj-78880	84	21	input	input	NOUN
esrj-78880	84	22	signal	signal	NOUN
esrj-78880	84	23	and	and	CCONJ
esrj-78880	84	24	the	the	DET
esrj-78880	84	25	phase	phase	NOUN
esrj-78880	84	26	differences	difference	NOUN
esrj-78880	84	27	of	of	ADP
esrj-78880	84	28	the	the	DET
esrj-78880	84	29	l2	l2	NOUN
esrj-78880	84	30	carrier	carrier	NOUN
esrj-78880	84	31	as	as	ADP
esrj-78880	84	32	the	the	DET
esrj-78880	84	33	output	output	NOUN
esrj-78880	84	34	.	.	PUNCT
esrj-78880	85	1	the	the	DET
esrj-78880	85	2	second	second	ADJ
esrj-78880	85	3	model	model	NOUN
esrj-78880	85	4	used	use	VERB
esrj-78880	85	5	the	the	DET
esrj-78880	85	6	c	c	PROPN
esrj-78880	85	7	/	/	SYM
esrj-78880	85	8	a	a	DET
esrj-78880	85	9	code	code	NOUN
esrj-78880	85	10	observations	observation	NOUN
esrj-78880	85	11	as	as	ADP
esrj-78880	85	12	input	input	NOUN
esrj-78880	85	13	signal	signal	NOUN
esrj-78880	85	14	and	and	CCONJ
esrj-78880	85	15	the	the	DET
esrj-78880	85	16	p2	p2	PROPN
esrj-78880	85	17	code	code	NOUN
esrj-78880	85	18	data	datum	NOUN
esrj-78880	85	19	as	as	ADP
esrj-78880	85	20	the	the	DET
esrj-78880	85	21	output	output	NOUN
esrj-78880	85	22	,	,	PUNCT
esrj-78880	85	23	using	use	VERB
esrj-78880	85	24	the	the	DET
esrj-78880	85	25	reverse	reverse	ADJ
esrj-78880	85	26	truncation	truncation	NOUN
esrj-78880	85	27	process	process	NOUN
esrj-78880	85	28	.	.	PUNCT
esrj-78880	86	1	a	a	DET
esrj-78880	86	2	similar	similar	ADJ
esrj-78880	86	3	method	method	NOUN
esrj-78880	86	4	for	for	ADP
esrj-78880	86	5	treating	treat	VERB
esrj-78880	86	6	observable	observable	ADJ
esrj-78880	86	7	gps	gps	NOUN
esrj-78880	86	8	for	for	ADP
esrj-78880	86	9	anns	ann	NOUN
esrj-78880	86	10	was	be	AUX
esrj-78880	86	11	used	use	VERB
esrj-78880	86	12	in	in	ADP
esrj-78880	86	13	leandro	leandro	PROPN
esrj-78880	86	14	,	,	PUNCT
esrj-78880	86	15	silva	silva	NOUN
esrj-78880	86	16	and	and	CCONJ
esrj-78880	86	17	santos	santos	PROPN
esrj-78880	86	18	(	(	PUNCT
esrj-78880	86	19	2007	2007	NUM
esrj-78880	86	20	)	)	PUNCT
esrj-78880	86	21	.	.	PUNCT
esrj-78880	87	1	the	the	DET
esrj-78880	87	2	topology	topology	NOUN
esrj-78880	87	3	for	for	ADP
esrj-78880	87	4	each	each	DET
esrj-78880	87	5	ann	ann	PROPN
esrj-78880	87	6	,	,	PUNCT
esrj-78880	87	7	that	that	ADV
esrj-78880	87	8	is	is	ADV
esrj-78880	87	9	,	,	PUNCT
esrj-78880	87	10	the	the	DET
esrj-78880	87	11	optimal	optimal	ADJ
esrj-78880	87	12	number	number	NOUN
esrj-78880	87	13	of	of	ADP
esrj-78880	87	14	hidden	hidden	ADJ
esrj-78880	87	15	layers	layer	NOUN
esrj-78880	87	16	and	and	CCONJ
esrj-78880	87	17	neurons	neuron	NOUN
esrj-78880	87	18	,	,	PUNCT
esrj-78880	87	19	the	the	DET
esrj-78880	87	20	optimization	optimization	NOUN
esrj-78880	87	21	algorithm	algorithm	NOUN
esrj-78880	87	22	and	and	CCONJ
esrj-78880	87	23	other	other	ADJ
esrj-78880	87	24	parameters	parameter	NOUN
esrj-78880	87	25	,	,	PUNCT
esrj-78880	87	26	was	be	AUX
esrj-78880	87	27	determined	determine	VERB
esrj-78880	87	28	with	with	ADP
esrj-78880	87	29	tests	test	NOUN
esrj-78880	87	30	that	that	PRON
esrj-78880	87	31	used	use	VERB
esrj-78880	87	32	the	the	DET
esrj-78880	87	33	random	random	ADJ
esrj-78880	87	34	subsampling	subsample	VERB
esrj-78880	87	35	cross	cross	ADJ
esrj-78880	87	36	-	-	ADJ
esrj-78880	87	37	validation	validation	ADJ
esrj-78880	87	38	technique	technique	NOUN
esrj-78880	87	39	,	,	PUNCT
esrj-78880	87	40	where	where	SCONJ
esrj-78880	87	41	the	the	DET
esrj-78880	87	42	available	available	ADJ
esrj-78880	87	43	dataset	dataset	NOUN
esrj-78880	87	44	was	be	AUX
esrj-78880	87	45	randomly	randomly	ADV
esrj-78880	87	46	subdivided	subdivide	VERB
esrj-78880	87	47	into	into	ADP
esrj-78880	87	48	training	training	NOUN
esrj-78880	87	49	and	and	CCONJ
esrj-78880	87	50	validation	validation	NOUN
esrj-78880	87	51	subsets	subset	NOUN
esrj-78880	87	52	five	five	NUM
esrj-78880	87	53	times	time	NOUN
esrj-78880	87	54	(	(	PUNCT
esrj-78880	87	55	cv	cv	PROPN
esrj-78880	87	56	=	=	SYM
esrj-78880	87	57	5	5	NUM
esrj-78880	87	58	)	)	PUNCT
esrj-78880	87	59	,	,	PUNCT
esrj-78880	87	60	seeking	seek	VERB
esrj-78880	87	61	to	to	PART
esrj-78880	87	62	analyze	analyze	VERB
esrj-78880	87	63	the	the	DET
esrj-78880	87	64	performance	performance	NOUN
esrj-78880	87	65	of	of	ADP
esrj-78880	87	66	each	each	DET
esrj-78880	87	67	candidate	candidate	NOUN
esrj-78880	87	68	towards	towards	ADP
esrj-78880	87	69	data	datum	NOUN
esrj-78880	87	70	drawn	draw	VERB
esrj-78880	87	71	differently	differently	ADV
esrj-78880	87	72	for	for	ADP
esrj-78880	87	73	each	each	DET
esrj-78880	87	74	test	test	NOUN
esrj-78880	87	75	(	(	PUNCT
esrj-78880	87	76	haykin	haykin	X
esrj-78880	87	77	,	,	PUNCT
esrj-78880	87	78	2008	2008	NUM
esrj-78880	87	79	;	;	PUNCT
esrj-78880	87	80	i.	i.	PROPN
esrj-78880	87	81	n.	n.	PROPN
esrj-78880	87	82	silva	silva	PROPN
esrj-78880	87	83	,	,	PUNCT
esrj-78880	87	84	spatti	spatti	NOUN
esrj-78880	87	85	,	,	PUNCT
esrj-78880	87	86	and	and	CCONJ
esrj-78880	87	87	flauzino	flauzino	PROPN
esrj-78880	87	88	,	,	PUNCT
esrj-78880	87	89	2010	2010	NUM
esrj-78880	87	90	)	)	PUNCT
esrj-78880	87	91	.	.	PUNCT
esrj-78880	88	1	the	the	DET
esrj-78880	88	2	new	new	ADJ
esrj-78880	88	3	rinex	rinex	NOUN
esrj-78880	88	4	files	file	NOUN
esrj-78880	88	5	produced	produce	VERB
esrj-78880	88	6	with	with	ADP
esrj-78880	88	7	the	the	DET
esrj-78880	88	8	artificial	artificial	ADJ
esrj-78880	88	9	observables	observable	NOUN
esrj-78880	88	10	were	be	AUX
esrj-78880	88	11	processed	process	VERB
esrj-78880	88	12	in	in	ADP
esrj-78880	88	13	geo	geo	PROPN
esrj-78880	88	14	office	office	NOUN
esrj-78880	88	15	software	software	NOUN
esrj-78880	88	16	v.	v.	ADP
esrj-78880	88	17	5	5	NUM
esrj-78880	88	18	,	,	PUNCT
esrj-78880	88	19	from	from	ADP
esrj-78880	88	20	leica	leica	PROPN
esrj-78880	88	21	,	,	PUNCT
esrj-78880	88	22	available	available	ADJ
esrj-78880	88	23	at	at	ADP
esrj-78880	88	24	the	the	DET
esrj-78880	88	25	department	department	PROPN
esrj-78880	88	26	of	of	ADP
esrj-78880	88	27	transportation	transportation	NOUN
esrj-78880	88	28	engineering	engineering	NOUN
esrj-78880	88	29	,	,	PUNCT
esrj-78880	88	30	at	at	ADP
esrj-78880	88	31	são	são	PROPN
esrj-78880	88	32	carlos	carlos	PROPN
esrj-78880	88	33	school	school	PROPN
esrj-78880	88	34	of	of	ADP
esrj-78880	88	35	engineering	engineering	NOUN
esrj-78880	88	36	(	(	PUNCT
esrj-78880	88	37	university	university	NOUN
esrj-78880	88	38	of	of	ADP
esrj-78880	88	39	são	são	PROPN
esrj-78880	88	40	paulo	paulo	PROPN
esrj-78880	88	41	)	)	PUNCT
esrj-78880	88	42	,	,	PUNCT
esrj-78880	88	43	by	by	ADP
esrj-78880	88	44	the	the	DET
esrj-78880	88	45	relative	relative	ADJ
esrj-78880	88	46	method	method	NOUN
esrj-78880	88	47	to	to	ADP
esrj-78880	88	48	the	the	DET
esrj-78880	88	49	eesc	eesc	NOUN
esrj-78880	88	50	station	station	NOUN
esrj-78880	88	51	with	with	ADP
esrj-78880	88	52	the	the	DET
esrj-78880	88	53	other	other	ADJ
esrj-78880	88	54	four	four	NUM
esrj-78880	88	55	stations	station	NOUN
esrj-78880	88	56	as	as	ADP
esrj-78880	88	57	references	reference	NOUN
esrj-78880	88	58	.	.	PUNCT
esrj-78880	89	1	the	the	DET
esrj-78880	89	2	positioning	positioning	NOUN
esrj-78880	89	3	solutions	solution	NOUN
esrj-78880	89	4	were	be	AUX
esrj-78880	89	5	evaluated	evaluate	VERB
esrj-78880	89	6	for	for	ADP
esrj-78880	89	7	the	the	DET
esrj-78880	89	8	accuracy	accuracy	NOUN
esrj-78880	89	9	of	of	ADP
esrj-78880	89	10	the	the	DET
esrj-78880	89	11	coordinates	coordinate	NOUN
esrj-78880	89	12	and	and	CCONJ
esrj-78880	89	13	compared	compare	VERB
esrj-78880	89	14	with	with	ADP
esrj-78880	89	15	those	those	PRON
esrj-78880	89	16	produced	produce	VERB
esrj-78880	89	17	by	by	ADP
esrj-78880	89	18	previous	previous	ADJ
esrj-78880	89	19	research	research	NOUN
esrj-78880	89	20	.	.	PUNCT
esrj-78880	90	1	table	table	NOUN
esrj-78880	90	2	2	2	NUM
esrj-78880	90	3	shows	show	VERB
esrj-78880	90	4	the	the	DET
esrj-78880	90	5	official	official	ADJ
esrj-78880	90	6	coordinates	coordinate	NOUN
esrj-78880	90	7	of	of	ADP
esrj-78880	90	8	the	the	DET
esrj-78880	90	9	eesc	eesc	NOUN
esrj-78880	90	10	rbmc	rbmc	NOUN
esrj-78880	90	11	station	station	NOUN
esrj-78880	90	12	used	use	VERB
esrj-78880	90	13	to	to	PART
esrj-78880	90	14	determine	determine	VERB
esrj-78880	90	15	the	the	DET
esrj-78880	90	16	accuracy	accuracy	NOUN
esrj-78880	90	17	of	of	ADP
esrj-78880	90	18	the	the	DET
esrj-78880	90	19	positioning	positioning	NOUN
esrj-78880	90	20	solutions	solution	NOUN
esrj-78880	90	21	.	.	PUNCT
esrj-78880	91	1	to	to	PART
esrj-78880	91	2	evaluate	evaluate	VERB
esrj-78880	91	3	the	the	DET
esrj-78880	91	4	performance	performance	NOUN
esrj-78880	91	5	of	of	ADP
esrj-78880	91	6	the	the	DET
esrj-78880	91	7	new	new	ADJ
esrj-78880	91	8	model	model	NOUN
esrj-78880	91	9	using	use	VERB
esrj-78880	91	10	exactly	exactly	ADV
esrj-78880	91	11	the	the	DET
esrj-78880	91	12	same	same	ADJ
esrj-78880	91	13	data	datum	NOUN
esrj-78880	91	14	used	use	VERB
esrj-78880	91	15	by	by	ADP
esrj-78880	91	16	mazzetto	mazzetto	NOUN
esrj-78880	91	17	(	(	PUNCT
esrj-78880	91	18	2017	2017	NUM
esrj-78880	91	19	)	)	PUNCT
esrj-78880	91	20	.	.	PUNCT
esrj-78880	92	1	next	next	ADJ
esrj-78880	92	2	,	,	PUNCT
esrj-78880	92	3	table	table	NOUN
esrj-78880	92	4	1	1	NUM
esrj-78880	92	5	shows	show	VERB
esrj-78880	92	6	the	the	DET
esrj-78880	92	7	test	test	NOUN
esrj-78880	92	8	dates	date	NOUN
esrj-78880	92	9	and	and	CCONJ
esrj-78880	92	10	times	time	NOUN
esrj-78880	92	11	.	.	PUNCT
esrj-78880	93	1	the	the	DET
esrj-78880	93	2	variation	variation	NOUN
esrj-78880	93	3	in	in	ADP
esrj-78880	93	4	the	the	DET
esrj-78880	93	5	ionospheric	ionospheric	ADJ
esrj-78880	93	6	refraction	refraction	NOUN
esrj-78880	93	7	mainly	mainly	ADV
esrj-78880	93	8	depends	depend	VERB
esrj-78880	93	9	on	on	ADP
esrj-78880	93	10	the	the	DET
esrj-78880	93	11	latitude	latitude	NOUN
esrj-78880	93	12	of	of	ADP
esrj-78880	93	13	the	the	DET
esrj-78880	93	14	station	station	NOUN
esrj-78880	93	15	,	,	PUNCT
esrj-78880	93	16	the	the	DET
esrj-78880	93	17	angle	angle	NOUN
esrj-78880	93	18	of	of	ADP
esrj-78880	93	19	elevation	elevation	NOUN
esrj-78880	93	20	,	,	PUNCT
esrj-78880	93	21	and	and	CCONJ
esrj-78880	93	22	the	the	DET
esrj-78880	93	23	time	time	NOUN
esrj-78880	93	24	of	of	ADP
esrj-78880	93	25	observation	observation	NOUN
esrj-78880	93	26	.	.	PUNCT
esrj-78880	94	1	near	near	ADP
esrj-78880	94	2	the	the	DET
esrj-78880	94	3	magnetic	magnetic	ADJ
esrj-78880	94	4	equator	equator	NOUN
esrj-78880	94	5	,	,	PUNCT
esrj-78880	94	6	the	the	DET
esrj-78880	94	7	ionospheric	ionospheric	ADJ
esrj-78880	94	8	refraction	refraction	NOUN
esrj-78880	94	9	varies	vary	VERB
esrj-78880	94	10	more	more	ADV
esrj-78880	94	11	rapidly	rapidly	ADV
esrj-78880	94	12	in	in	ADP
esrj-78880	94	13	time	time	NOUN
esrj-78880	94	14	.	.	PUNCT
esrj-78880	95	1	hence	hence	ADV
esrj-78880	95	2	,	,	PUNCT
esrj-78880	95	3	in	in	ADP
esrj-78880	95	4	our	our	PRON
esrj-78880	95	5	example	example	NOUN
esrj-78880	95	6	,	,	PUNCT
esrj-78880	95	7	we	we	PRON
esrj-78880	95	8	use	use	VERB
esrj-78880	95	9	data	datum	NOUN
esrj-78880	95	10	of	of	ADP
esrj-78880	95	11	satellites	satellite	NOUN
esrj-78880	95	12	that	that	PRON
esrj-78880	95	13	were	be	AUX
esrj-78880	95	14	received	receive	VERB
esrj-78880	95	15	on	on	ADP
esrj-78880	95	16	different	different	ADJ
esrj-78880	95	17	days	day	NOUN
esrj-78880	95	18	between	between	ADP
esrj-78880	95	19	01:00	01:00	NUM
esrj-78880	95	20	and	and	CCONJ
esrj-78880	95	21	03:30	03:30	NUM
esrj-78880	95	22	pm	pm	NOUN
esrj-78880	95	23	due	due	ADP
esrj-78880	95	24	to	to	ADP
esrj-78880	95	25	strong	strong	ADJ
esrj-78880	95	26	solar	solar	ADJ
esrj-78880	95	27	activities	activity	NOUN
esrj-78880	95	28	.	.	PUNCT
esrj-78880	96	1	the	the	DET
esrj-78880	96	2	mse	mse	PROPN
esrj-78880	96	3	values	value	NOUN
esrj-78880	96	4	were	be	AUX
esrj-78880	96	5	calculated	calculate	VERB
esrj-78880	96	6	according	accord	VERB
esrj-78880	96	7	to	to	ADP
esrj-78880	96	8	equation	equation	NOUN
esrj-78880	96	9	1	1	NUM
esrj-78880	96	10	.	.	PUNCT
esrj-78880	97	1	mse	mse	PROPN
esrj-78880	97	2	n	n	PROPN
esrj-78880	98	1	d	d	NOUN
esrj-78880	98	2	yi	yi	PROPN
esrj-78880	99	1	i	i	PRON
esrj-78880	99	2	i	i	PRON
esrj-78880	99	3	n	n	VERB
esrj-78880	99	4	=	=	PUNCT
esrj-78880	99	5	⋅	⋅	PROPN
esrj-78880	99	6	−	−	PROPN
esrj-78880	99	7	=	=	PUNCT
esrj-78880	99	8	∑1	∑1	NOUN
esrj-78880	99	9	1	1	NUM
esrj-78880	99	10	2	2	NUM
esrj-78880	99	11	(	(	PUNCT
esrj-78880	99	12	)	)	PUNCT
esrj-78880	99	13	(	(	PUNCT
esrj-78880	99	14	1	1	X
esrj-78880	99	15	)	)	PUNCT
esrj-78880	99	16	where	where	SCONJ
esrj-78880	99	17	:	:	PUNCT
esrj-78880	99	18	n	n	CCONJ
esrj-78880	99	19	:	:	PUNCT
esrj-78880	99	20	number	number	NOUN
esrj-78880	99	21	of	of	ADP
esrj-78880	99	22	samples	sample	NOUN
esrj-78880	99	23	;	;	PUNCT
esrj-78880	99	24	di	di	NOUN
esrj-78880	99	25	:	:	PUNCT
esrj-78880	99	26	observed	observed	ADJ
esrj-78880	99	27	output	output	NOUN
esrj-78880	99	28	i	i	PRON
esrj-78880	99	29	(	(	PUNCT
esrj-78880	99	30	true	true	ADJ
esrj-78880	99	31	value	value	NOUN
esrj-78880	99	32	)	)	PUNCT
esrj-78880	99	33	;	;	PUNCT
esrj-78880	99	34	yi	yi	PROPN
esrj-78880	99	35	:	:	PUNCT
esrj-78880	99	36	predicted	predict	VERB
esrj-78880	99	37	output	output	NOUN
esrj-78880	99	38	i.	i.	NOUN
esrj-78880	100	1	it	it	PRON
esrj-78880	100	2	is	be	AUX
esrj-78880	100	3	important	important	ADJ
esrj-78880	100	4	to	to	PART
esrj-78880	100	5	highlight	highlight	VERB
esrj-78880	100	6	that	that	SCONJ
esrj-78880	100	7	this	this	DET
esrj-78880	100	8	proposed	propose	VERB
esrj-78880	100	9	method	method	NOUN
esrj-78880	100	10	for	for	ADP
esrj-78880	100	11	generating	generate	VERB
esrj-78880	100	12	the	the	DET
esrj-78880	100	13	l2	l2	NOUN
esrj-78880	100	14	carrier	carrier	NOUN
esrj-78880	100	15	observables	observable	NOUN
esrj-78880	100	16	was	be	AUX
esrj-78880	100	17	applied	apply	VERB
esrj-78880	100	18	after	after	SCONJ
esrj-78880	100	19	the	the	DET
esrj-78880	100	20	l1	l1	PROPN
esrj-78880	100	21	carrier	carrier	NOUN
esrj-78880	100	22	data	datum	NOUN
esrj-78880	100	23	were	be	AUX
esrj-78880	100	24	collected	collect	VERB
esrj-78880	100	25	;	;	PUNCT
esrj-78880	100	26	that	that	PRON
esrj-78880	100	27	is	is	ADV
esrj-78880	100	28	,	,	PUNCT
esrj-78880	100	29	the	the	DET
esrj-78880	100	30	estimation	estimation	NOUN
esrj-78880	100	31	of	of	ADP
esrj-78880	100	32	these	these	DET
esrj-78880	100	33	values	value	NOUN
esrj-78880	100	34	was	be	AUX
esrj-78880	100	35	not	not	PART
esrj-78880	100	36	performed	perform	VERB
esrj-78880	100	37	in	in	ADP
esrj-78880	100	38	real	real	ADJ
esrj-78880	100	39	-	-	PUNCT
esrj-78880	100	40	time	time	NOUN
esrj-78880	100	41	with	with	ADP
esrj-78880	100	42	the	the	DET
esrj-78880	100	43	ann	ann	PROPN
esrj-78880	100	44	figure	figure	NOUN
esrj-78880	100	45	1	1	NUM
esrj-78880	100	46	.	.	PUNCT
esrj-78880	101	1	arrangement	arrangement	NOUN
esrj-78880	101	2	of	of	ADP
esrj-78880	101	3	rbmc	rbmc	NOUN
esrj-78880	101	4	stations	station	NOUN
esrj-78880	101	5	used	use	VERB
esrj-78880	101	6	adapted	adapt	VERB
esrj-78880	101	7	from	from	ADP
esrj-78880	101	8	mazzetto	mazzetto	NOUN
esrj-78880	101	9	(	(	PUNCT
esrj-78880	101	10	2017	2017	NUM
esrj-78880	101	11	)	)	PUNCT
esrj-78880	101	12	table	table	NOUN
esrj-78880	101	13	1	1	NUM
esrj-78880	101	14	.	.	PUNCT
esrj-78880	101	15	test	test	NOUN
esrj-78880	101	16	dates	date	NOUN
esrj-78880	101	17	and	and	CCONJ
esrj-78880	101	18	times	time	NOUN
esrj-78880	101	19	adapted	adapt	VERB
esrj-78880	101	20	from	from	ADP
esrj-78880	101	21	mazzetto	mazzetto	NOUN
esrj-78880	101	22	(	(	PUNCT
esrj-78880	101	23	2017	2017	NUM
esrj-78880	101	24	)	)	PUNCT
esrj-78880	101	25	test	test	NOUN
esrj-78880	101	26	date	date	NOUN
esrj-78880	101	27	gps	gps	PROPN
esrj-78880	101	28	time	time	NOUN
esrj-78880	101	29	1	1	NUM
esrj-78880	101	30	09/15/2014	09/15/2014	NOUN
esrj-78880	101	31	01:00	01:00	NUM
esrj-78880	101	32	–	–	PUNCT
esrj-78880	101	33	01:30	01:30	NUM
esrj-78880	101	34	pm	pm	NOUN
esrj-78880	101	35	2	2	NUM
esrj-78880	101	36	01/10/2015	01/10/2015	NUM
esrj-78880	101	37	02:30	02:30	NUM
esrj-78880	101	38	–	–	PUNCT
esrj-78880	101	39	03:00	03:00	NUM
esrj-78880	101	40	pm	pm	NOUN
esrj-78880	101	41	3	3	NUM
esrj-78880	101	42	06/10/2015	06/10/2015	NUM
esrj-78880	101	43	01:30	01:30	NUM
esrj-78880	101	44	–	–	PUNCT
esrj-78880	101	45	02:00	02:00	NUM
esrj-78880	101	46	pm	pm	NOUN
esrj-78880	101	47	4	4	NUM
esrj-78880	101	48	01/20/2016	01/20/2016	NUM
esrj-78880	101	49	03:00	03:00	NUM
esrj-78880	101	50	–	–	PUNCT
esrj-78880	101	51	03:30	03:30	NUM
esrj-78880	101	52	pm	pm	NOUN
esrj-78880	101	53	100	100	NUM
esrj-78880	101	54	cassio	cassio	NOUN
esrj-78880	101	55	vinícius	vinícius	PROPN
esrj-78880	101	56	carletti	carletti	PROPN
esrj-78880	101	57	negri	negri	NOUN
esrj-78880	101	58	,	,	PUNCT
esrj-78880	101	59	paulo	paulo	PROPN
esrj-78880	101	60	cesar	cesar	PROPN
esrj-78880	101	61	lima	lima	PROPN
esrj-78880	101	62	segantine	segantine	VERB
esrj-78880	101	63	the	the	DET
esrj-78880	101	64	basic	basic	ADJ
esrj-78880	101	65	processing	processing	NOUN
esrj-78880	101	66	settings	setting	NOUN
esrj-78880	101	67	adopted	adopt	VERB
esrj-78880	101	68	in	in	ADP
esrj-78880	101	69	the	the	DET
esrj-78880	101	70	geo	geo	PROPN
esrj-78880	101	71	office	office	PROPN
esrj-78880	101	72	5.0	5.0	NUM
esrj-78880	101	73	software	software	NOUN
esrj-78880	101	74	were	be	AUX
esrj-78880	101	75	l1	l1	PROPN
esrj-78880	101	76	and	and	CCONJ
esrj-78880	101	77	l1	l1	PROPN
esrj-78880	101	78	+	+	CCONJ
esrj-78880	101	79	l2	l2	NOUN
esrj-78880	101	80	frequencies	frequency	NOUN
esrj-78880	101	81	;	;	PUNCT
esrj-78880	101	82	hopfield	hopfield	ADJ
esrj-78880	101	83	tropospheric	tropospheric	ADJ
esrj-78880	101	84	model	model	NOUN
esrj-78880	101	85	;	;	PUNCT
esrj-78880	101	86	leica	leica	PROPN
esrj-78880	101	87	geo	geo	PROPN
esrj-78880	101	88	office	office	PROPN
esrj-78880	101	89	standard	standard	PROPN
esrj-78880	101	90	(	(	PUNCT
esrj-78880	101	91	standard	standard	NOUN
esrj-78880	101	92	)	)	PUNCT
esrj-78880	101	93	v.	v.	ADP
esrj-78880	101	94	5	5	NUM
esrj-78880	101	95	ionospheric	ionospheric	ADJ
esrj-78880	101	96	model	model	NOUN
esrj-78880	101	97	;	;	PUNCT
esrj-78880	101	98	broadcast	broadcast	NOUN
esrj-78880	101	99	ephemeris	ephemeris	NOUN
esrj-78880	101	100	;	;	PUNCT
esrj-78880	101	101	elevation	elevation	NOUN
esrj-78880	101	102	mask	mask	NOUN
esrj-78880	101	103	:	:	PUNCT
esrj-78880	101	104	15º	15º	NOUN
esrj-78880	101	105	;	;	PUNCT
esrj-78880	101	106	and	and	CCONJ
esrj-78880	101	107	gps	gps	PROPN
esrj-78880	101	108	system	system	NOUN
esrj-78880	101	109	data	datum	NOUN
esrj-78880	101	110	only	only	ADV
esrj-78880	101	111	.	.	PUNCT
esrj-78880	102	1	the	the	DET
esrj-78880	102	2	gnss	gnss	NOUN
esrj-78880	102	3	device	device	NOUN
esrj-78880	102	4	models	model	NOUN
esrj-78880	102	5	used	use	VERB
esrj-78880	102	6	in	in	ADP
esrj-78880	102	7	this	this	DET
esrj-78880	102	8	work	work	NOUN
esrj-78880	102	9	are	be	AUX
esrj-78880	102	10	the	the	DET
esrj-78880	102	11	following	follow	VERB
esrj-78880	102	12	:	:	PUNCT
esrj-78880	102	13	1	1	X
esrj-78880	102	14	)	)	PUNCT
esrj-78880	102	15	eesc	eesc	NOUN
esrj-78880	102	16	à	à	X
esrj-78880	102	17	receiver	receiver	NOUN
esrj-78880	102	18	:	:	PUNCT
esrj-78880	102	19	leica	leica	PROPN
esrj-78880	102	20	gr10	gr10	PROPN
esrj-78880	102	21	;	;	PUNCT
esrj-78880	102	22	antenna	antenna	NOUN
esrj-78880	102	23	:	:	PUNCT
esrj-78880	102	24	leica	leica	PROPN
esrj-78880	102	25	ar10	ar10	PROPN
esrj-78880	102	26	(	(	PUNCT
esrj-78880	102	27	773758	773758	NUM
esrj-78880	102	28	)	)	PUNCT
esrj-78880	102	29	;	;	PUNCT
esrj-78880	102	30	2	2	X
esrj-78880	102	31	)	)	PUNCT
esrj-78880	102	32	spja	spja	NOUN
esrj-78880	102	33	à	à	X
esrj-78880	102	34	receiver	receiver	NOUN
esrj-78880	102	35	:	:	PUNCT
esrj-78880	102	36	trimble	trimble	PROPN
esrj-78880	102	37	netr8	netr8	PROPN
esrj-78880	102	38	;	;	PUNCT
esrj-78880	102	39	antenna	antenna	NOUN
esrj-78880	102	40	:	:	PUNCT
esrj-78880	102	41	gnss	gnss	NOUN
esrj-78880	102	42	choke	choke	NOUN
esrj-78880	102	43	ring	ring	NOUN
esrj-78880	102	44	(	(	PUNCT
esrj-78880	102	45	trm59800.00	trm59800.00	NUM
esrj-78880	102	46	)	)	PUNCT
esrj-78880	102	47	;	;	PUNCT
esrj-78880	102	48	3	3	X
esrj-78880	102	49	)	)	PUNCT
esrj-78880	102	50	spli	spli	NOUN
esrj-78880	102	51	à	à	X
esrj-78880	102	52	receiver	receiver	NOUN
esrj-78880	102	53	:	:	PUNCT
esrj-78880	102	54	trimble	trimble	PROPN
esrj-78880	102	55	netr8	netr8	PROPN
esrj-78880	102	56	;	;	PUNCT
esrj-78880	102	57	antenna	antenna	NOUN
esrj-78880	102	58	:	:	PUNCT
esrj-78880	102	59	gnss	gnss	NOUN
esrj-78880	102	60	choke	choke	NOUN
esrj-78880	102	61	ring	ring	NOUN
esrj-78880	102	62	(	(	PUNCT
esrj-78880	102	63	trm59800.00	trm59800.00	NUM
esrj-78880	102	64	)	)	PUNCT
esrj-78880	102	65	;	;	PUNCT
esrj-78880	102	66	4	4	X
esrj-78880	102	67	)	)	PUNCT
esrj-78880	102	68	sppi	sppi	NOUN
esrj-78880	102	69	à	à	X
esrj-78880	102	70	receiver	receiver	NOUN
esrj-78880	102	71	:	:	PUNCT
esrj-78880	102	72	trimble	trimble	PROPN
esrj-78880	102	73	netr8	netr8	PROPN
esrj-78880	102	74	;	;	PUNCT
esrj-78880	102	75	antenna	antenna	NOUN
esrj-78880	102	76	:	:	PUNCT
esrj-78880	102	77	gnss	gnss	NOUN
esrj-78880	102	78	choke	choke	NOUN
esrj-78880	102	79	ring	ring	NOUN
esrj-78880	102	80	(	(	PUNCT
esrj-78880	102	81	trm59800.00	trm59800.00	NUM
esrj-78880	102	82	)	)	PUNCT
esrj-78880	102	83	;	;	PUNCT
esrj-78880	102	84	5	5	X
esrj-78880	102	85	)	)	PUNCT
esrj-78880	102	86	mgin	mgin	VERB
esrj-78880	102	87	à	à	X
esrj-78880	102	88	receiver	receiver	NOUN
esrj-78880	102	89	:	:	PUNCT
esrj-78880	102	90	trimble	trimble	PROPN
esrj-78880	102	91	netr5	netr5	NOUN
esrj-78880	102	92	;	;	PUNCT
esrj-78880	102	93	antenna	antenna	NOUN
esrj-78880	102	94	:	:	PUNCT
esrj-78880	102	95	zephyr	zephyr	PROPN
esrj-78880	102	96	gnss	gnss	PROPN
esrj-78880	102	97	geodetic	geodetic	ADJ
esrj-78880	102	98	model	model	NOUN
esrj-78880	102	99	2	2	NUM
esrj-78880	102	100	(	(	PUNCT
esrj-78880	102	101	trm55971.00	trm55971.00	NUM
esrj-78880	102	102	)	)	PUNCT
esrj-78880	102	103	.	.	PUNCT
esrj-78880	103	1	the	the	DET
esrj-78880	103	2	spatial	spatial	ADJ
esrj-78880	103	3	deviations	deviation	NOUN
esrj-78880	103	4	(	(	PUNCT
esrj-78880	103	5	sd	sd	NOUN
esrj-78880	103	6	)	)	PUNCT
esrj-78880	103	7	were	be	AUX
esrj-78880	103	8	calculated	calculate	VERB
esrj-78880	103	9	according	accord	VERB
esrj-78880	103	10	to	to	ADP
esrj-78880	103	11	equation	equation	NOUN
esrj-78880	103	12	2	2	NUM
esrj-78880	103	13	.	.	NOUN
esrj-78880	103	14	sd	sd	ADP
esrj-78880	103	15	n	n	CCONJ
esrj-78880	103	16	n	n	NOUN
esrj-78880	103	17	e	e	X
esrj-78880	103	18	e	e	X
esrj-78880	103	19	a	a	DET
esrj-78880	103	20	ao	ao	NOUN
esrj-78880	104	1	p	p	X
esrj-78880	104	2	o	o	X
esrj-78880	104	3	p	p	X
esrj-78880	104	4	o	o	X
esrj-78880	104	5	p=	p=	NOUN
esrj-78880	105	1	−	−	PROPN
esrj-78880	106	1	+	+	CCONJ
esrj-78880	106	2	−	−	PROPN
esrj-78880	106	3	−	−	PRON
esrj-78880	106	4	−	−	PROPN
esrj-78880	106	5	(	(	PUNCT
esrj-78880	106	6	)	)	PUNCT
esrj-78880	106	7	²	²	PROPN
esrj-78880	106	8	(	(	PUNCT
esrj-78880	106	9	)	)	PUNCT
esrj-78880	106	10	²	²	PROPN
esrj-78880	106	11	(	(	PUNCT
esrj-78880	106	12	)	)	PUNCT
esrj-78880	106	13	²	²	PROPN
esrj-78880	106	14	(	(	PUNCT
esrj-78880	106	15	2	2	NUM
esrj-78880	106	16	)	)	PUNCT
esrj-78880	106	17	where	where	SCONJ
esrj-78880	106	18	n0	n0	X
esrj-78880	106	19	=	=	PUNCT
esrj-78880	106	20	the	the	DET
esrj-78880	106	21	official	official	ADJ
esrj-78880	106	22	north	north	NOUN
esrj-78880	106	23	coordinate	coordinate	NOUN
esrj-78880	106	24	,	,	PUNCT
esrj-78880	106	25	in	in	ADP
esrj-78880	106	26	meters	meter	NOUN
esrj-78880	106	27	;	;	PUNCT
esrj-78880	106	28	e0	e0	PROPN
esrj-78880	106	29	=	=	PUNCT
esrj-78880	107	1	the	the	DET
esrj-78880	107	2	official	official	ADJ
esrj-78880	107	3	east	east	NOUN
esrj-78880	107	4	coordinate	coordinate	NOUN
esrj-78880	107	5	,	,	PUNCT
esrj-78880	107	6	in	in	ADP
esrj-78880	107	7	meters	meter	NOUN
esrj-78880	107	8	;	;	PUNCT
esrj-78880	107	9	a0=	a0=	VERB
esrj-78880	107	10	the	the	DET
esrj-78880	107	11	official	official	ADJ
esrj-78880	107	12	geometric	geometric	ADJ
esrj-78880	107	13	altitude	altitude	NOUN
esrj-78880	107	14	coordinate	coordinate	NOUN
esrj-78880	107	15	,	,	PUNCT
esrj-78880	107	16	in	in	ADP
esrj-78880	107	17	meters	meter	NOUN
esrj-78880	107	18	;	;	PUNCT
esrj-78880	107	19	np	np	ADP
esrj-78880	107	20	=	=	PUNCT
esrj-78880	107	21	the	the	DET
esrj-78880	107	22	processed	process	VERB
esrj-78880	107	23	north	north	NOUN
esrj-78880	107	24	coordinate	coordinate	NOUN
esrj-78880	107	25	,	,	PUNCT
esrj-78880	107	26	in	in	ADP
esrj-78880	107	27	meters	meter	NOUN
esrj-78880	107	28	(	(	PUNCT
esrj-78880	107	29	relative	relative	ADJ
esrj-78880	107	30	positioning	positioning	NOUN
esrj-78880	107	31	method	method	NOUN
esrj-78880	107	32	)	)	PUNCT
esrj-78880	107	33	;	;	PUNCT
esrj-78880	107	34	ep	ep	PROPN
esrj-78880	107	35	=	=	PUNCT
esrj-78880	107	36	the	the	DET
esrj-78880	107	37	processed	process	VERB
esrj-78880	107	38	east	east	NOUN
esrj-78880	107	39	coordinate	coordinate	NOUN
esrj-78880	107	40	,	,	PUNCT
esrj-78880	107	41	in	in	ADP
esrj-78880	107	42	meters	meter	NOUN
esrj-78880	107	43	(	(	PUNCT
esrj-78880	107	44	relative	relative	ADJ
esrj-78880	107	45	positioning	positioning	NOUN
esrj-78880	107	46	method	method	NOUN
esrj-78880	107	47	)	)	PUNCT
esrj-78880	107	48	.	.	PUNCT
esrj-78880	108	1	ap	ap	PROPN
esrj-78880	109	1	=	=	NOUN
esrj-78880	109	2	the	the	DET
esrj-78880	109	3	processed	process	VERB
esrj-78880	109	4	geometric	geometric	ADJ
esrj-78880	109	5	height	height	NOUN
esrj-78880	109	6	coordinate	coordinate	NOUN
esrj-78880	109	7	,	,	PUNCT
esrj-78880	109	8	in	in	ADP
esrj-78880	109	9	meters	meter	NOUN
esrj-78880	109	10	(	(	PUNCT
esrj-78880	109	11	relative	relative	ADJ
esrj-78880	109	12	positioning	positioning	NOUN
esrj-78880	109	13	method	method	NOUN
esrj-78880	109	14	)	)	PUNCT
esrj-78880	109	15	.	.	PUNCT
esrj-78880	110	1	results	result	NOUN
esrj-78880	110	2	and	and	CCONJ
esrj-78880	110	3	discussions	discussion	NOUN
esrj-78880	110	4	in	in	ADP
esrj-78880	110	5	this	this	DET
esrj-78880	110	6	section	section	NOUN
esrj-78880	110	7	,	,	PUNCT
esrj-78880	110	8	we	we	PRON
esrj-78880	110	9	first	first	ADV
esrj-78880	110	10	present	present	VERB
esrj-78880	110	11	the	the	DET
esrj-78880	110	12	tests	test	NOUN
esrj-78880	110	13	and	and	CCONJ
esrj-78880	110	14	results	result	NOUN
esrj-78880	110	15	regarding	regard	VERB
esrj-78880	110	16	the	the	DET
esrj-78880	110	17	choice	choice	NOUN
esrj-78880	110	18	of	of	ADP
esrj-78880	110	19	the	the	DET
esrj-78880	110	20	topologies	topology	NOUN
esrj-78880	110	21	of	of	ADP
esrj-78880	110	22	each	each	DET
esrj-78880	110	23	ann	ann	PROPN
esrj-78880	110	24	model	model	NOUN
esrj-78880	110	25	,	,	PUNCT
esrj-78880	110	26	validated	validate	VERB
esrj-78880	110	27	by	by	ADP
esrj-78880	110	28	the	the	DET
esrj-78880	110	29	cv	cv	PROPN
esrj-78880	110	30	technique	technique	NOUN
esrj-78880	110	31	by	by	ADP
esrj-78880	110	32	random	random	ADJ
esrj-78880	110	33	sampling	sampling	NOUN
esrj-78880	110	34	.	.	PUNCT
esrj-78880	111	1	then	then	ADV
esrj-78880	111	2	,	,	PUNCT
esrj-78880	111	3	the	the	DET
esrj-78880	111	4	training	training	NOUN
esrj-78880	111	5	times	time	NOUN
esrj-78880	111	6	and	and	CCONJ
esrj-78880	111	7	the	the	DET
esrj-78880	111	8	validation	validation	NOUN
esrj-78880	111	9	mse	mse	NOUN
esrj-78880	111	10	of	of	ADP
esrj-78880	111	11	each	each	DET
esrj-78880	111	12	test	test	NOUN
esrj-78880	111	13	are	be	AUX
esrj-78880	111	14	shown	show	VERB
esrj-78880	111	15	.	.	PUNCT
esrj-78880	112	1	finally	finally	ADV
esrj-78880	112	2	,	,	PUNCT
esrj-78880	112	3	the	the	DET
esrj-78880	112	4	spatial	spatial	ADJ
esrj-78880	112	5	deviations	deviation	NOUN
esrj-78880	112	6	of	of	ADP
esrj-78880	112	7	each	each	DET
esrj-78880	112	8	positioning	positioning	NOUN
esrj-78880	112	9	solution	solution	NOUN
esrj-78880	112	10	using	use	VERB
esrj-78880	112	11	the	the	DET
esrj-78880	112	12	artificial	artificial	ADJ
esrj-78880	112	13	observations	observation	NOUN
esrj-78880	112	14	were	be	AUX
esrj-78880	112	15	compared	compare	VERB
esrj-78880	112	16	with	with	ADP
esrj-78880	112	17	those	those	PRON
esrj-78880	112	18	obtained	obtain	VERB
esrj-78880	112	19	in	in	ADP
esrj-78880	112	20	other	other	ADJ
esrj-78880	112	21	works	work	NOUN
esrj-78880	112	22	and	and	CCONJ
esrj-78880	112	23	with	with	ADP
esrj-78880	112	24	the	the	DET
esrj-78880	112	25	single	single	ADJ
esrj-78880	112	26	-	-	PUNCT
esrj-78880	112	27	frequency	frequency	NOUN
esrj-78880	112	28	files	file	NOUN
esrj-78880	112	29	.	.	PUNCT
esrj-78880	113	1	ann	ann	PROPN
esrj-78880	113	2	implementation	implementation	NOUN
esrj-78880	113	3	the	the	DET
esrj-78880	113	4	initial	initial	ADJ
esrj-78880	113	5	step	step	NOUN
esrj-78880	113	6	was	be	AUX
esrj-78880	113	7	to	to	PART
esrj-78880	113	8	develop	develop	VERB
esrj-78880	113	9	the	the	DET
esrj-78880	113	10	generic	generic	ADJ
esrj-78880	113	11	algorithm	algorithm	NOUN
esrj-78880	113	12	of	of	ADP
esrj-78880	113	13	a	a	DET
esrj-78880	113	14	network	network	NOUN
esrj-78880	113	15	,	,	PUNCT
esrj-78880	113	16	from	from	ADP
esrj-78880	113	17	the	the	DET
esrj-78880	113	18	input	input	NOUN
esrj-78880	113	19	data	datum	NOUN
esrj-78880	113	20	loading	loading	NOUN
esrj-78880	113	21	and	and	CCONJ
esrj-78880	113	22	normalization	normalization	NOUN
esrj-78880	113	23	to	to	ADP
esrj-78880	113	24	the	the	DET
esrj-78880	113	25	determination	determination	NOUN
esrj-78880	113	26	of	of	ADP
esrj-78880	113	27	the	the	DET
esrj-78880	113	28	number	number	NOUN
esrj-78880	113	29	of	of	ADP
esrj-78880	113	30	hidden	hidden	ADJ
esrj-78880	113	31	layers	layer	NOUN
esrj-78880	113	32	,	,	PUNCT
esrj-78880	113	33	neurons	neuron	NOUN
esrj-78880	113	34	and	and	CCONJ
esrj-78880	113	35	mathematical	mathematical	ADJ
esrj-78880	113	36	models	model	NOUN
esrj-78880	113	37	.	.	PUNCT
esrj-78880	114	1	it	it	PRON
esrj-78880	114	2	is	be	AUX
esrj-78880	114	3	known	know	VERB
esrj-78880	114	4	that	that	SCONJ
esrj-78880	114	5	the	the	DET
esrj-78880	114	6	optimal	optimal	ADJ
esrj-78880	114	7	topology	topology	NOUN
esrj-78880	114	8	selection	selection	NOUN
esrj-78880	114	9	of	of	ADP
esrj-78880	114	10	an	an	DET
esrj-78880	114	11	ann	ann	PROPN
esrj-78880	114	12	occurs	occur	VERB
esrj-78880	114	13	through	through	ADP
esrj-78880	114	14	attempts	attempt	NOUN
esrj-78880	114	15	and	and	CCONJ
esrj-78880	114	16	errors	error	NOUN
esrj-78880	114	17	.	.	PUNCT
esrj-78880	115	1	each	each	DET
esrj-78880	115	2	problem	problem	NOUN
esrj-78880	115	3	requires	require	VERB
esrj-78880	115	4	a	a	DET
esrj-78880	115	5	different	different	ADJ
esrj-78880	115	6	model	model	NOUN
esrj-78880	115	7	.	.	PUNCT
esrj-78880	116	1	with	with	ADP
esrj-78880	116	2	the	the	DET
esrj-78880	116	3	generic	generic	PROPN
esrj-78880	116	4	mlp	mlp	NOUN
esrj-78880	116	5	,	,	PUNCT
esrj-78880	116	6	the	the	DET
esrj-78880	116	7	tests	test	NOUN
esrj-78880	116	8	were	be	AUX
esrj-78880	116	9	started	start	VERB
esrj-78880	116	10	with	with	ADP
esrj-78880	116	11	the	the	DET
esrj-78880	116	12	observations	observation	NOUN
esrj-78880	116	13	obtained	obtain	VERB
esrj-78880	116	14	in	in	ADP
esrj-78880	116	15	the	the	DET
esrj-78880	116	16	spja	spja	NOUN
esrj-78880	116	17	,	,	PUNCT
esrj-78880	116	18	spli	spli	NOUN
esrj-78880	116	19	,	,	PUNCT
esrj-78880	116	20	sppi	sppi	NOUN
esrj-78880	116	21	and	and	CCONJ
esrj-78880	116	22	mgin	mgin	VERB
esrj-78880	116	23	rbmc	rbmc	NOUN
esrj-78880	116	24	stations	station	NOUN
esrj-78880	116	25	.	.	PUNCT
esrj-78880	117	1	the	the	DET
esrj-78880	117	2	evaluation	evaluation	NOUN
esrj-78880	117	3	of	of	ADP
esrj-78880	117	4	the	the	DET
esrj-78880	117	5	best	good	ADJ
esrj-78880	117	6	model	model	NOUN
esrj-78880	117	7	was	be	AUX
esrj-78880	117	8	due	due	ADJ
esrj-78880	117	9	to	to	ADP
esrj-78880	117	10	the	the	DET
esrj-78880	117	11	search	search	NOUN
esrj-78880	117	12	for	for	ADP
esrj-78880	117	13	lower	low	ADJ
esrj-78880	117	14	validation	validation	NOUN
esrj-78880	117	15	mse	mse	NOUN
esrj-78880	117	16	values	value	NOUN
esrj-78880	117	17	in	in	ADP
esrj-78880	117	18	the	the	DET
esrj-78880	117	19	four	four	NUM
esrj-78880	117	20	experiments	experiment	NOUN
esrj-78880	117	21	.	.	PUNCT
esrj-78880	118	1	carrier	carrier	PROPN
esrj-78880	118	2	code	code	PROPN
esrj-78880	118	3	ann	ann	PROPN
esrj-78880	118	4	model	model	PROPN
esrj-78880	118	5	first	first	ADV
esrj-78880	118	6	,	,	PUNCT
esrj-78880	118	7	the	the	DET
esrj-78880	118	8	intervals	interval	NOUN
esrj-78880	118	9	in	in	ADP
esrj-78880	118	10	which	which	PRON
esrj-78880	118	11	the	the	DET
esrj-78880	118	12	data	datum	NOUN
esrj-78880	118	13	should	should	AUX
esrj-78880	118	14	be	be	AUX
esrj-78880	118	15	normalized	normalize	VERB
esrj-78880	118	16	was	be	AUX
esrj-78880	118	17	tested	test	VERB
esrj-78880	118	18	,	,	PUNCT
esrj-78880	118	19	choosing	choose	VERB
esrj-78880	118	20	the	the	DET
esrj-78880	118	21	limits	limit	NOUN
esrj-78880	118	22	between	between	ADP
esrj-78880	118	23	0	0	NUM
esrj-78880	118	24	and	and	CCONJ
esrj-78880	118	25	1	1	NUM
esrj-78880	118	26	.	.	PUNCT
esrj-78880	119	1	this	this	DET
esrj-78880	119	2	step	step	NOUN
esrj-78880	119	3	was	be	AUX
esrj-78880	119	4	performed	perform	VERB
esrj-78880	119	5	through	through	ADP
esrj-78880	119	6	the	the	DET
esrj-78880	119	7	class	class	NOUN
esrj-78880	119	8	minmaxscaler	minmaxscaler	NOUN
esrj-78880	119	9	,	,	PUNCT
esrj-78880	119	10	provided	provide	VERB
esrj-78880	119	11	by	by	ADP
esrj-78880	119	12	the	the	DET
esrj-78880	119	13	package	package	NOUN
esrj-78880	119	14	scikit	scikit	NOUN
esrj-78880	119	15	-	-	PUNCT
esrj-78880	119	16	learn	learn	VERB
esrj-78880	119	17	(	(	PUNCT
esrj-78880	119	18	scikit	scikit	NOUN
esrj-78880	119	19	-	-	PUNCT
esrj-78880	119	20	learn	learn	NOUN
esrj-78880	119	21	,	,	PUNCT
esrj-78880	119	22	2018	2018	NUM
esrj-78880	119	23	)	)	PUNCT
esrj-78880	119	24	.	.	PUNCT
esrj-78880	120	1	the	the	DET
esrj-78880	120	2	restriction	restriction	NOUN
esrj-78880	120	3	of	of	ADP
esrj-78880	120	4	the	the	DET
esrj-78880	120	5	network	network	NOUN
esrj-78880	120	6	inputs	input	NOUN
esrj-78880	120	7	in	in	ADP
esrj-78880	120	8	relation	relation	NOUN
esrj-78880	120	9	to	to	PART
esrj-78880	120	10	signal	signal	VERB
esrj-78880	120	11	strength	strength	NOUN
esrj-78880	120	12	(	(	PUNCT
esrj-78880	120	13	0	0	NUM
esrj-78880	120	14	,	,	PUNCT
esrj-78880	120	15	5	5	NUM
esrj-78880	120	16	and	and	CCONJ
esrj-78880	120	17	7	7	NUM
esrj-78880	120	18	)	)	PUNCT
esrj-78880	120	19	,	,	PUNCT
esrj-78880	120	20	as	as	SCONJ
esrj-78880	120	21	successfully	successfully	ADV
esrj-78880	120	22	proposed	propose	VERB
esrj-78880	120	23	in	in	ADP
esrj-78880	120	24	mazzetto	mazzetto	NOUN
esrj-78880	120	25	(	(	PUNCT
esrj-78880	120	26	2017	2017	NUM
esrj-78880	120	27	)	)	PUNCT
esrj-78880	120	28	,	,	PUNCT
esrj-78880	120	29	was	be	AUX
esrj-78880	120	30	applied	apply	VERB
esrj-78880	120	31	in	in	ADP
esrj-78880	120	32	the	the	DET
esrj-78880	120	33	present	present	ADJ
esrj-78880	120	34	investigation	investigation	NOUN
esrj-78880	120	35	.	.	PUNCT
esrj-78880	121	1	however	however	ADV
esrj-78880	121	2	,	,	PUNCT
esrj-78880	121	3	inserting	insert	VERB
esrj-78880	121	4	all	all	DET
esrj-78880	121	5	the	the	DET
esrj-78880	121	6	observations	observation	NOUN
esrj-78880	121	7	of	of	ADP
esrj-78880	121	8	the	the	DET
esrj-78880	121	9	code	code	NOUN
esrj-78880	121	10	without	without	ADP
esrj-78880	121	11	eliminating	eliminate	VERB
esrj-78880	121	12	those	those	PRON
esrj-78880	121	13	of	of	ADP
esrj-78880	121	14	lower	low	ADJ
esrj-78880	121	15	quality	quality	NOUN
esrj-78880	121	16	proved	prove	VERB
esrj-78880	121	17	to	to	PART
esrj-78880	121	18	be	be	AUX
esrj-78880	121	19	the	the	DET
esrj-78880	121	20	best	good	ADJ
esrj-78880	121	21	option	option	NOUN
esrj-78880	121	22	,	,	PUNCT
esrj-78880	121	23	unlike	unlike	ADP
esrj-78880	121	24	his	his	PRON
esrj-78880	121	25	conclusion	conclusion	NOUN
esrj-78880	121	26	.	.	PUNCT
esrj-78880	122	1	this	this	DET
esrj-78880	122	2	situation	situation	NOUN
esrj-78880	122	3	can	can	AUX
esrj-78880	122	4	be	be	AUX
esrj-78880	122	5	explained	explain	VERB
esrj-78880	122	6	by	by	ADP
esrj-78880	122	7	the	the	DET
esrj-78880	122	8	noise	noise	NOUN
esrj-78880	122	9	tolerance	tolerance	NOUN
esrj-78880	122	10	in	in	ADP
esrj-78880	122	11	the	the	DET
esrj-78880	122	12	input	input	NOUN
esrj-78880	122	13	signals	signal	NOUN
esrj-78880	122	14	that	that	SCONJ
esrj-78880	122	15	the	the	DET
esrj-78880	122	16	newly	newly	ADV
esrj-78880	122	17	implemented	implement	VERB
esrj-78880	122	18	ann	ann	PROPN
esrj-78880	122	19	has	have	AUX
esrj-78880	122	20	developed	develop	VERB
esrj-78880	122	21	.	.	PUNCT
esrj-78880	123	1	regarding	regard	VERB
esrj-78880	123	2	the	the	DET
esrj-78880	123	3	number	number	NOUN
esrj-78880	123	4	of	of	ADP
esrj-78880	123	5	hidden	hide	VERB
esrj-78880	123	6	layers	layer	NOUN
esrj-78880	123	7	and	and	CCONJ
esrj-78880	123	8	the	the	DET
esrj-78880	123	9	number	number	NOUN
esrj-78880	123	10	of	of	ADP
esrj-78880	123	11	neurons	neuron	NOUN
esrj-78880	123	12	,	,	PUNCT
esrj-78880	123	13	several	several	ADJ
esrj-78880	123	14	topologies	topology	NOUN
esrj-78880	123	15	were	be	AUX
esrj-78880	123	16	investigated	investigate	VERB
esrj-78880	123	17	.	.	PUNCT
esrj-78880	124	1	figure	figure	NOUN
esrj-78880	124	2	2	2	NUM
esrj-78880	124	3	shows	show	VERB
esrj-78880	124	4	the	the	DET
esrj-78880	124	5	average	average	ADJ
esrj-78880	124	6	validation	validation	NOUN
esrj-78880	124	7	mse	mse	NOUN
esrj-78880	124	8	values	value	NOUN
esrj-78880	124	9	for	for	ADP
esrj-78880	124	10	each	each	DET
esrj-78880	124	11	tested	test	VERB
esrj-78880	124	12	configuration	configuration	NOUN
esrj-78880	124	13	.	.	PUNCT
esrj-78880	125	1	although	although	SCONJ
esrj-78880	125	2	the	the	DET
esrj-78880	125	3	results	result	NOUN
esrj-78880	125	4	are	be	AUX
esrj-78880	125	5	from	from	ADP
esrj-78880	125	6	one	one	NUM
esrj-78880	125	7	date	date	NOUN
esrj-78880	125	8	,	,	PUNCT
esrj-78880	125	9	the	the	DET
esrj-78880	125	10	other	other	ADJ
esrj-78880	125	11	learning	learning	NOUN
esrj-78880	125	12	processes	process	NOUN
esrj-78880	125	13	and	and	CCONJ
esrj-78880	125	14	the	the	DET
esrj-78880	125	15	results	result	NOUN
esrj-78880	125	16	obtained	obtain	VERB
esrj-78880	125	17	on	on	ADP
esrj-78880	125	18	other	other	ADJ
esrj-78880	125	19	days	day	NOUN
esrj-78880	125	20	were	be	AUX
esrj-78880	125	21	similar	similar	ADJ
esrj-78880	125	22	to	to	ADP
esrj-78880	125	23	those	those	PRON
esrj-78880	125	24	shown	show	VERB
esrj-78880	125	25	in	in	ADP
esrj-78880	125	26	the	the	DET
esrj-78880	125	27	image	image	NOUN
esrj-78880	125	28	below	below	ADV
esrj-78880	125	29	.	.	PUNCT
esrj-78880	126	1	0	0	NUM
esrj-78880	126	2	0.02	0.02	NUM
esrj-78880	126	3	0.04	0.04	NUM
esrj-78880	126	4	0.06	0.06	NUM
esrj-78880	126	5	0.08	0.08	NUM
esrj-78880	126	6	0.1	0.1	NUM
esrj-78880	126	7	0	0	NUM
esrj-78880	126	8	25	25	NUM
esrj-78880	126	9	50	50	NUM
esrj-78880	126	10	75	75	NUM
esrj-78880	126	11	100	100	NUM
esrj-78880	126	12	125	125	NUM
esrj-78880	126	13	150	150	NUM
esrj-78880	126	14	a	a	DET
esrj-78880	126	15	ve	ve	NOUN
esrj-78880	126	16	ra	ra	PROPN
esrj-78880	126	17	ge	ge	PROPN
esrj-78880	126	18	v	v	PROPN
esrj-78880	126	19	al	al	PROPN
esrj-78880	126	20	i	i	PROPN
esrj-78880	126	21	d	d	PROPN
esrj-78880	126	22	at	at	ADP
esrj-78880	126	23	io	io	PROPN
esrj-78880	126	24	n	n	PROPN
esrj-78880	126	25	m	m	PROPN
esrj-78880	126	26	se	se	X
esrj-78880	126	27	(	(	PUNCT
esrj-78880	126	28	c	c	NOUN
esrj-78880	126	29	v	v	NOUN
esrj-78880	126	30	=	=	SYM
esrj-78880	126	31	5	5	X
esrj-78880	126	32	)	)	PUNCT
esrj-78880	126	33	training	training	NOUN
esrj-78880	126	34	epochs	epoch	NOUN
esrj-78880	126	35	25	25	NUM
esrj-78880	126	36	30	30	NUM
esrj-78880	126	37	35	35	NUM
esrj-78880	126	38	15	15	NUM
esrj-78880	126	39	-	-	SYM
esrj-78880	126	40	3	3	NUM
esrj-78880	126	41	23	23	NUM
esrj-78880	126	42	-	-	SYM
esrj-78880	126	43	7	7	NUM
esrj-78880	126	44	25	25	NUM
esrj-78880	126	45	-	-	SYM
esrj-78880	126	46	10	10	NUM
esrj-78880	126	47	25	25	NUM
esrj-78880	126	48	-	-	SYM
esrj-78880	126	49	15	15	NUM
esrj-78880	126	50	18	18	NUM
esrj-78880	126	51	-	-	SYM
esrj-78880	126	52	10	10	NUM
esrj-78880	126	53	-	-	SYM
esrj-78880	126	54	5	5	NUM
esrj-78880	126	55	25	25	NUM
esrj-78880	126	56	-	-	SYM
esrj-78880	126	57	12	12	NUM
esrj-78880	126	58	-	-	SYM
esrj-78880	126	59	7	7	NUM
esrj-78880	126	60	14	14	NUM
esrj-78880	126	61	-	-	SYM
esrj-78880	126	62	8	8	NUM
esrj-78880	126	63	-	-	PUNCT
esrj-78880	126	64	4	4	NUM
esrj-78880	126	65	-	-	SYM
esrj-78880	126	66	3	3	NUM
esrj-78880	126	67	18	18	NUM
esrj-78880	126	68	-	-	SYM
esrj-78880	126	69	8	8	NUM
esrj-78880	126	70	-	-	PUNCT
esrj-78880	126	71	7	7	NUM
esrj-78880	126	72	-	-	SYM
esrj-78880	126	73	5	5	NUM
esrj-78880	126	74	20	20	NUM
esrj-78880	126	75	-	-	PUNCT
esrj-78880	126	76	10	10	NUM
esrj-78880	126	77	-	-	PUNCT
esrj-78880	126	78	7	7	NUM
esrj-78880	126	79	-	-	SYM
esrj-78880	126	80	5	5	NUM
esrj-78880	126	81	figure	figure	NOUN
esrj-78880	126	82	2	2	NUM
esrj-78880	126	83	.	.	PUNCT
esrj-78880	126	84	comparison	comparison	NOUN
esrj-78880	126	85	between	between	ADP
esrj-78880	126	86	models	model	NOUN
esrj-78880	126	87	with	with	ADP
esrj-78880	126	88	different	different	ADJ
esrj-78880	126	89	numbers	number	NOUN
esrj-78880	126	90	of	of	ADP
esrj-78880	126	91	hidden	hidden	ADJ
esrj-78880	126	92	layers	layer	NOUN
esrj-78880	126	93	and	and	CCONJ
esrj-78880	126	94	artificial	artificial	ADJ
esrj-78880	126	95	neurons	neuron	NOUN
esrj-78880	126	96	day	day	NOUN
esrj-78880	126	97	01/20/2016	01/20/2016	NUM
esrj-78880	126	98	–	–	PUNCT
esrj-78880	126	99	fourth	fourth	ADJ
esrj-78880	126	100	test	test	NOUN
esrj-78880	126	101	day	day	NOUN
esrj-78880	126	102	(	(	PUNCT
esrj-78880	126	103	03:00	03:00	NUM
esrj-78880	126	104	03:30	03:30	NUM
esrj-78880	126	105	pm	pm	NOUN
esrj-78880	126	106	)	)	PUNCT
esrj-78880	126	107	in	in	ADP
esrj-78880	126	108	black	black	ADJ
esrj-78880	126	109	(	(	PUNCT
esrj-78880	126	110	30	30	NUM
esrj-78880	126	111	)	)	PUNCT
esrj-78880	126	112	,	,	PUNCT
esrj-78880	126	113	the	the	DET
esrj-78880	126	114	topology	topology	NOUN
esrj-78880	126	115	chosen	choose	VERB
esrj-78880	126	116	in	in	ADP
esrj-78880	126	117	silva	silva	NOUN
esrj-78880	126	118	(	(	PUNCT
esrj-78880	126	119	2003	2003	NUM
esrj-78880	126	120	)	)	PUNCT
esrj-78880	126	121	,	,	PUNCT
esrj-78880	126	122	applied	apply	VERB
esrj-78880	126	123	in	in	ADP
esrj-78880	126	124	mazzetto	mazzetto	NOUN
esrj-78880	126	125	(	(	PUNCT
esrj-78880	126	126	2017	2017	NUM
esrj-78880	126	127	)	)	PUNCT
esrj-78880	126	128	,	,	PUNCT
esrj-78880	126	129	and	and	CCONJ
esrj-78880	126	130	in	in	ADP
esrj-78880	126	131	red	red	ADJ
esrj-78880	126	132	(	(	PUNCT
esrj-78880	126	133	18	18	NUM
esrj-78880	126	134	-	-	SYM
esrj-78880	126	135	8	8	NUM
esrj-78880	126	136	-	-	PUNCT
esrj-78880	126	137	7	7	NUM
esrj-78880	126	138	-	-	SYM
esrj-78880	126	139	5	5	NUM
esrj-78880	126	140	)	)	PUNCT
esrj-78880	126	141	,	,	PUNCT
esrj-78880	126	142	the	the	DET
esrj-78880	126	143	configuration	configuration	NOUN
esrj-78880	126	144	chosen	choose	VERB
esrj-78880	126	145	in	in	ADP
esrj-78880	126	146	this	this	DET
esrj-78880	126	147	investigation	investigation	NOUN
esrj-78880	126	148	are	be	AUX
esrj-78880	126	149	shown	show	VERB
esrj-78880	126	150	.	.	PUNCT
esrj-78880	127	1	in	in	ADP
esrj-78880	127	2	relation	relation	NOUN
esrj-78880	127	3	to	to	ADP
esrj-78880	127	4	the	the	DET
esrj-78880	127	5	tests	test	NOUN
esrj-78880	127	6	performed	perform	VERB
esrj-78880	127	7	to	to	PART
esrj-78880	127	8	choose	choose	VERB
esrj-78880	127	9	the	the	DET
esrj-78880	127	10	activation	activation	NOUN
esrj-78880	127	11	function	function	NOUN
esrj-78880	127	12	,	,	PUNCT
esrj-78880	127	13	figure	figure	VERB
esrj-78880	127	14	3	3	NUM
esrj-78880	127	15	shows	show	VERB
esrj-78880	127	16	a	a	DET
esrj-78880	127	17	test	test	NOUN
esrj-78880	127	18	that	that	PRON
esrj-78880	127	19	analyzed	analyze	VERB
esrj-78880	127	20	the	the	DET
esrj-78880	127	21	rectified	rectified	ADJ
esrj-78880	127	22	linear	linear	NOUN
esrj-78880	127	23	unit	unit	NOUN
esrj-78880	127	24	(	(	PUNCT
esrj-78880	127	25	relu	relu	NOUN
esrj-78880	127	26	)	)	PUNCT
esrj-78880	127	27	and	and	CCONJ
esrj-78880	127	28	logistics	logistic	NOUN
esrj-78880	127	29	(	(	PUNCT
esrj-78880	127	30	sigmoid	sigmoid	NOUN
esrj-78880	127	31	)	)	PUNCT
esrj-78880	127	32	functions	function	NOUN
esrj-78880	127	33	.	.	PUNCT
esrj-78880	128	1	it	it	PRON
esrj-78880	128	2	is	be	AUX
esrj-78880	128	3	observed	observe	VERB
esrj-78880	128	4	that	that	SCONJ
esrj-78880	128	5	the	the	DET
esrj-78880	128	6	relu	relu	NOUN
esrj-78880	128	7	produced	produce	VERB
esrj-78880	128	8	lower	low	ADJ
esrj-78880	128	9	validation	validation	NOUN
esrj-78880	128	10	mse	mse	NOUN
esrj-78880	128	11	values	value	NOUN
esrj-78880	128	12	,	,	PUNCT
esrj-78880	128	13	although	although	SCONJ
esrj-78880	128	14	in	in	ADP
esrj-78880	128	15	some	some	DET
esrj-78880	128	16	evaluations	evaluation	NOUN
esrj-78880	128	17	,	,	PUNCT
esrj-78880	128	18	both	both	DET
esrj-78880	128	19	functions	function	NOUN
esrj-78880	128	20	performed	perform	VERB
esrj-78880	128	21	satisfactorily	satisfactorily	ADV
esrj-78880	128	22	,	,	PUNCT
esrj-78880	128	23	but	but	CCONJ
esrj-78880	128	24	with	with	ADP
esrj-78880	128	25	relu	relu	NOUN
esrj-78880	128	26	converging	converge	VERB
esrj-78880	128	27	faster	fast	ADV
esrj-78880	128	28	.	.	PUNCT
esrj-78880	129	1	géron	géron	NOUN
esrj-78880	129	2	(	(	PUNCT
esrj-78880	129	3	2017	2017	NUM
esrj-78880	129	4	)	)	PUNCT
esrj-78880	129	5	states	state	VERB
esrj-78880	129	6	that	that	SCONJ
esrj-78880	129	7	in	in	ADP
esrj-78880	129	8	practice	practice	NOUN
esrj-78880	129	9	,	,	PUNCT
esrj-78880	129	10	this	this	DET
esrj-78880	129	11	function	function	NOUN
esrj-78880	129	12	generally	generally	ADV
esrj-78880	129	13	produces	produce	VERB
esrj-78880	129	14	excellent	excellent	ADJ
esrj-78880	129	15	outputs	output	NOUN
esrj-78880	129	16	,	,	PUNCT
esrj-78880	129	17	is	be	AUX
esrj-78880	129	18	fast	fast	ADJ
esrj-78880	129	19	in	in	ADP
esrj-78880	129	20	processing	processing	NOUN
esrj-78880	129	21	,	,	PUNCT
esrj-78880	129	22	and	and	CCONJ
esrj-78880	129	23	works	work	VERB
esrj-78880	129	24	well	well	ADV
esrj-78880	129	25	in	in	ADP
esrj-78880	129	26	deep	deep	ADJ
esrj-78880	129	27	networks	network	NOUN
esrj-78880	129	28	.	.	PUNCT
esrj-78880	130	1	0.00	0.00	NUM
esrj-78880	130	2	0.05	0.05	NUM
esrj-78880	130	3	0.10	0.10	NUM
esrj-78880	130	4	0.15	0.15	NUM
esrj-78880	130	5	0.20	0.20	NUM
esrj-78880	130	6	0	0	NUM
esrj-78880	130	7	25	25	NUM
esrj-78880	130	8	50	50	NUM
esrj-78880	130	9	75	75	NUM
esrj-78880	130	10	100	100	NUM
esrj-78880	130	11	125	125	NUM
esrj-78880	130	12	150	150	NUM
esrj-78880	130	13	a	a	DET
esrj-78880	130	14	ve	ve	NOUN
esrj-78880	130	15	ra	ra	PROPN
esrj-78880	130	16	ge	ge	PROPN
esrj-78880	130	17	v	v	PROPN
esrj-78880	130	18	al	al	PROPN
esrj-78880	130	19	i	i	PROPN
esrj-78880	130	20	d	d	PROPN
esrj-78880	130	21	at	at	ADP
esrj-78880	130	22	io	io	PROPN
esrj-78880	130	23	n	n	PROPN
esrj-78880	130	24	m	m	PROPN
esrj-78880	130	25	se	se	X
esrj-78880	130	26	(	(	PUNCT
esrj-78880	130	27	c	c	NOUN
esrj-78880	130	28	v	v	NOUN
esrj-78880	130	29	=	=	SYM
esrj-78880	130	30	5	5	X
esrj-78880	130	31	)	)	PUNCT
esrj-78880	130	32	training	training	NOUN
esrj-78880	130	33	epochs	epoch	NOUN
esrj-78880	130	34	relu	relu	NOUN
esrj-78880	130	35	sigmoid	sigmoid	NOUN
esrj-78880	130	36	figure	figure	NOUN
esrj-78880	130	37	3	3	NUM
esrj-78880	130	38	.	.	NOUN
esrj-78880	130	39	comparison	comparison	NOUN
esrj-78880	130	40	of	of	ADP
esrj-78880	130	41	activation	activation	NOUN
esrj-78880	130	42	functions	function	NOUN
esrj-78880	130	43	01/10/2015	01/10/2015	NUM
esrj-78880	130	44	–	–	PUNCT
esrj-78880	130	45	second	second	ADJ
esrj-78880	130	46	test	test	NOUN
esrj-78880	130	47	day	day	NOUN
esrj-78880	130	48	(	(	PUNCT
esrj-78880	130	49	02:30	02:30	NUM
esrj-78880	130	50	03:00	03:00	NUM
esrj-78880	130	51	pm	pm	NOUN
esrj-78880	130	52	)	)	PUNCT
esrj-78880	130	53	to	to	PART
esrj-78880	130	54	select	select	VERB
esrj-78880	130	55	the	the	DET
esrj-78880	130	56	optimization	optimization	NOUN
esrj-78880	130	57	algorithms	algorithm	NOUN
esrj-78880	130	58	available	available	ADJ
esrj-78880	130	59	in	in	ADP
esrj-78880	130	60	the	the	DET
esrj-78880	130	61	tensorflow	tensorflow	NOUN
esrj-78880	130	62	library	library	NOUN
esrj-78880	130	63	,	,	PUNCT
esrj-78880	130	64	only	only	ADV
esrj-78880	130	65	the	the	DET
esrj-78880	130	66	two	two	NUM
esrj-78880	130	67	most	most	ADV
esrj-78880	130	68	popular	popular	ADJ
esrj-78880	130	69	algorithms	algorithm	NOUN
esrj-78880	130	70	were	be	AUX
esrj-78880	130	71	used	use	VERB
esrj-78880	130	72	:	:	PUNCT
esrj-78880	130	73	adam	adam	PROPN
esrj-78880	130	74	and	and	CCONJ
esrj-78880	130	75	the	the	DET
esrj-78880	130	76	stochastic	stochastic	ADJ
esrj-78880	130	77	gradient	gradient	ADJ
esrj-78880	130	78	descent	descent	NOUN
esrj-78880	130	79	(	(	PUNCT
esrj-78880	130	80	sgd	sgd	PROPN
esrj-78880	130	81	)	)	PUNCT
esrj-78880	130	82	.	.	PUNCT
esrj-78880	131	1	based	base	VERB
esrj-78880	131	2	on	on	ADP
esrj-78880	131	3	figure	figure	NOUN
esrj-78880	131	4	4	4	NUM
esrj-78880	131	5	(	(	PUNCT
esrj-78880	131	6	mse	mse	NOUN
esrj-78880	131	7	values	value	NOUN
esrj-78880	131	8	reached	reach	VERB
esrj-78880	131	9	for	for	ADP
esrj-78880	131	10	table	table	NOUN
esrj-78880	131	11	2	2	NUM
esrj-78880	131	12	.	.	PUNCT
esrj-78880	131	13	official	official	ADJ
esrj-78880	131	14	coordinates	coordinate	NOUN
esrj-78880	131	15	of	of	ADP
esrj-78880	131	16	the	the	DET
esrj-78880	131	17	são	são	PROPN
esrj-78880	131	18	carlos	carlos	PROPN
esrj-78880	131	19	rbmc	rbmc	PROPN
esrj-78880	131	20	station	station	NOUN
esrj-78880	131	21	(	(	PUNCT
esrj-78880	131	22	eesc	eesc	NOUN
esrj-78880	131	23	)	)	PUNCT
esrj-78880	131	24	–	–	PUNCT
esrj-78880	131	25	ibge	ibge	NOUN
esrj-78880	131	26	(	(	PUNCT
esrj-78880	131	27	2018a	2018a	NUM
esrj-78880	131	28	)	)	PUNCT
esrj-78880	131	29	station	station	NOUN
esrj-78880	131	30	geographic	geographic	ADJ
esrj-78880	131	31	coordinates	coordinate	NOUN
esrj-78880	131	32	(	(	PUNCT
esrj-78880	131	33	sirgas	sirgas	NOUN
esrj-78880	131	34	2000	2000	NUM
esrj-78880	131	35	)	)	PUNCT
esrj-78880	131	36	precision	precision	NOUN
esrj-78880	131	37	(	(	PUNCT
esrj-78880	131	38	m	m	NOUN
esrj-78880	131	39	)	)	PUNCT
esrj-78880	131	40	eesc	eesc	NOUN
esrj-78880	131	41	latitude	latitude	NOUN
esrj-78880	131	42	22	22	NUM
esrj-78880	131	43	°	°	NOUN
esrj-78880	131	44	00	00	PUNCT
esrj-78880	132	1	‘	'	PUNCT
esrj-78880	132	2	17.81599	17.81599	NUM
esrj-78880	132	3	“	"	PUNCT
esrj-78880	132	4	s	s	PROPN
esrj-78880	132	5	0.001	0.001	NUM
esrj-78880	132	6	longitude	longitude	NOUN
esrj-78880	132	7	47	47	NUM
esrj-78880	132	8	°	°	NOUN
esrj-78880	132	9	53	53	NUM
esrj-78880	132	10	‘	'	PUNCT
esrj-78880	132	11	57.04968	57.04968	NUM
esrj-78880	132	12	“	"	PUNCT
esrj-78880	132	13	w	w	PROPN
esrj-78880	132	14	0.001	0.001	NUM
esrj-78880	132	15	geometric	geometric	ADJ
esrj-78880	132	16	height	height	NOUN
esrj-78880	132	17	(	(	PUNCT
esrj-78880	132	18	m	m	NOUN
esrj-78880	132	19	)	)	PUNCT
esrj-78880	132	20	824.587	824.587	NUM
esrj-78880	132	21	0.005	0.005	NUM
esrj-78880	132	22	101	101	NUM
esrj-78880	132	23	estimation	estimation	NOUN
esrj-78880	132	24	of	of	ADP
esrj-78880	132	25	gps	gps	PROPN
esrj-78880	132	26	l2	l2	NOUN
esrj-78880	132	27	signal	signal	NOUN
esrj-78880	132	28	observables	observable	NOUN
esrj-78880	132	29	using	use	VERB
esrj-78880	132	30	multilayer	multilayer	ADJ
esrj-78880	132	31	perceptron	perceptron	PROPN
esrj-78880	132	32	artificial	artificial	ADJ
esrj-78880	132	33	neural	neural	ADJ
esrj-78880	132	34	network	network	NOUN
esrj-78880	132	35	for	for	ADP
esrj-78880	132	36	positional	positional	ADJ
esrj-78880	132	37	accuracy	accuracy	NOUN
esrj-78880	132	38	improvement	improvement	NOUN
esrj-78880	132	39	09/15/2014	09/15/2014	NOUN
esrj-78880	132	40	)	)	PUNCT
esrj-78880	132	41	,	,	PUNCT
esrj-78880	132	42	it	it	PRON
esrj-78880	132	43	is	be	AUX
esrj-78880	132	44	possible	possible	ADJ
esrj-78880	132	45	to	to	PART
esrj-78880	132	46	verify	verify	VERB
esrj-78880	132	47	that	that	SCONJ
esrj-78880	132	48	the	the	DET
esrj-78880	132	49	former	former	ADJ
esrj-78880	132	50	presented	present	VERB
esrj-78880	132	51	higher	high	ADJ
esrj-78880	132	52	efficiency	efficiency	NOUN
esrj-78880	132	53	,	,	PUNCT
esrj-78880	132	54	converging	converge	VERB
esrj-78880	132	55	rapidly	rapidly	ADV
esrj-78880	132	56	.	.	PUNCT
esrj-78880	133	1	this	this	DET
esrj-78880	133	2	result	result	NOUN
esrj-78880	133	3	was	be	AUX
esrj-78880	133	4	expected	expect	VERB
esrj-78880	133	5	because	because	SCONJ
esrj-78880	133	6	kingma	kingma	PROPN
esrj-78880	133	7	and	and	CCONJ
esrj-78880	133	8	ba	ba	PROPN
esrj-78880	133	9	(	(	PUNCT
esrj-78880	133	10	2014	2014	NUM
esrj-78880	133	11	)	)	PUNCT
esrj-78880	133	12	already	already	ADV
esrj-78880	133	13	demonstrated	demonstrate	VERB
esrj-78880	133	14	the	the	DET
esrj-78880	133	15	effectiveness	effectiveness	NOUN
esrj-78880	133	16	of	of	ADP
esrj-78880	133	17	the	the	DET
esrj-78880	133	18	algorithm	algorithm	NOUN
esrj-78880	133	19	in	in	ADP
esrj-78880	133	20	training	training	NOUN
esrj-78880	133	21	mlps	mlp	NOUN
esrj-78880	133	22	,	,	PUNCT
esrj-78880	133	23	comparing	compare	VERB
esrj-78880	133	24	it	it	PRON
esrj-78880	133	25	with	with	ADP
esrj-78880	133	26	four	four	NUM
esrj-78880	133	27	others	other	NOUN
esrj-78880	133	28	.	.	PUNCT
esrj-78880	134	1	0.00	0.00	NUM
esrj-78880	134	2	0.05	0.05	NUM
esrj-78880	134	3	0.10	0.10	NUM
esrj-78880	134	4	0.15	0.15	NUM
esrj-78880	134	5	0.20	0.20	NUM
esrj-78880	134	6	0	0	NUM
esrj-78880	134	7	25	25	NUM
esrj-78880	134	8	50	50	NUM
esrj-78880	134	9	75	75	NUM
esrj-78880	134	10	100	100	NUM
esrj-78880	134	11	125	125	NUM
esrj-78880	134	12	150	150	NUM
esrj-78880	134	13	a	a	DET
esrj-78880	134	14	ve	ve	NOUN
esrj-78880	134	15	ra	ra	PROPN
esrj-78880	134	16	ge	ge	PROPN
esrj-78880	134	17	v	v	PROPN
esrj-78880	134	18	al	al	PROPN
esrj-78880	134	19	i	i	PROPN
esrj-78880	134	20	d	d	PROPN
esrj-78880	134	21	at	at	ADP
esrj-78880	134	22	io	io	PROPN
esrj-78880	134	23	n	n	PROPN
esrj-78880	134	24	m	m	PROPN
esrj-78880	134	25	se	se	X
esrj-78880	134	26	(	(	PUNCT
esrj-78880	134	27	c	c	NOUN
esrj-78880	134	28	v	v	NOUN
esrj-78880	134	29	=	=	SYM
esrj-78880	134	30	5	5	X
esrj-78880	134	31	)	)	PUNCT
esrj-78880	134	32	training	training	NOUN
esrj-78880	134	33	epochs	epoch	NOUN
esrj-78880	134	34	adam	adam	PROPN
esrj-78880	134	35	sgd	sgd	PROPN
esrj-78880	134	36	figure	figure	NOUN
esrj-78880	134	37	4	4	NUM
esrj-78880	134	38	.	.	NOUN
esrj-78880	134	39	comparison	comparison	NOUN
esrj-78880	134	40	between	between	ADP
esrj-78880	134	41	optimization	optimization	NOUN
esrj-78880	134	42	algorithms	algorithm	NOUN
esrj-78880	134	43	09/15/2014	09/15/2014	NOUN
esrj-78880	134	44	first	first	ADJ
esrj-78880	134	45	test	test	NOUN
esrj-78880	134	46	day	day	NOUN
esrj-78880	134	47	(	(	PUNCT
esrj-78880	134	48	01:00	01:00	NUM
esrj-78880	134	49	01:30	01:30	NUM
esrj-78880	134	50	pm	pm	NOUN
esrj-78880	134	51	)	)	PUNCT
esrj-78880	134	52	the	the	DET
esrj-78880	134	53	method	method	NOUN
esrj-78880	134	54	for	for	ADP
esrj-78880	134	55	initializing	initialize	VERB
esrj-78880	134	56	the	the	DET
esrj-78880	134	57	synaptic	synaptic	ADJ
esrj-78880	134	58	weights	weight	NOUN
esrj-78880	134	59	in	in	ADP
esrj-78880	134	60	each	each	DET
esrj-78880	134	61	layer	layer	NOUN
esrj-78880	134	62	was	be	AUX
esrj-78880	134	63	also	also	ADV
esrj-78880	134	64	tested	test	VERB
esrj-78880	134	65	by	by	ADP
esrj-78880	134	66	choosing	choose	VERB
esrj-78880	134	67	the	the	DET
esrj-78880	134	68	variance	variance	NOUN
esrj-78880	134	69	scaling	scale	VERB
esrj-78880	134	70	type	type	NOUN
esrj-78880	134	71	,	,	PUNCT
esrj-78880	134	72	whose	whose	DET
esrj-78880	134	73	objective	objective	NOUN
esrj-78880	134	74	is	be	AUX
esrj-78880	134	75	to	to	PART
esrj-78880	134	76	keep	keep	VERB
esrj-78880	134	77	constant	constant	ADJ
esrj-78880	134	78	the	the	DET
esrj-78880	134	79	variance	variance	NOUN
esrj-78880	134	80	scale	scale	NOUN
esrj-78880	134	81	of	of	ADP
esrj-78880	134	82	the	the	DET
esrj-78880	134	83	input	input	NOUN
esrj-78880	134	84	signals	signal	NOUN
esrj-78880	134	85	to	to	ADP
esrj-78880	134	86	the	the	DET
esrj-78880	134	87	final	final	ADJ
esrj-78880	134	88	layer	layer	NOUN
esrj-78880	134	89	of	of	ADP
esrj-78880	134	90	the	the	DET
esrj-78880	134	91	network	network	NOUN
esrj-78880	134	92	.	.	PUNCT
esrj-78880	135	1	figure	figure	NOUN
esrj-78880	135	2	5	5	NUM
esrj-78880	135	3	presents	present	VERB
esrj-78880	135	4	the	the	DET
esrj-78880	135	5	average	average	ADJ
esrj-78880	135	6	validation	validation	NOUN
esrj-78880	135	7	mse	mse	NOUN
esrj-78880	135	8	values	value	NOUN
esrj-78880	135	9	for	for	ADP
esrj-78880	135	10	tests	test	NOUN
esrj-78880	135	11	performed	perform	VERB
esrj-78880	135	12	on	on	ADP
esrj-78880	135	13	06/10/2015	06/10/2015	NUM
esrj-78880	135	14	.	.	PUNCT
esrj-78880	136	1	0.00	0.00	NUM
esrj-78880	136	2	0.20	0.20	NUM
esrj-78880	136	3	0.40	0.40	NUM
esrj-78880	136	4	0.60	0.60	NUM
esrj-78880	136	5	0	0	NUM
esrj-78880	136	6	25	25	NUM
esrj-78880	136	7	50	50	NUM
esrj-78880	136	8	75	75	NUM
esrj-78880	136	9	100	100	NUM
esrj-78880	136	10	125	125	NUM
esrj-78880	136	11	150a	150a	NOUN
esrj-78880	136	12	ve	ve	VERB
esrj-78880	136	13	ra	ra	NOUN
esrj-78880	136	14	ge	ge	PROPN
esrj-78880	136	15	v	v	PROPN
esrj-78880	136	16	al	al	PROPN
esrj-78880	136	17	i	i	PROPN
esrj-78880	136	18	d	d	PROPN
esrj-78880	136	19	at	at	ADP
esrj-78880	136	20	io	io	PROPN
esrj-78880	136	21	n	n	PROPN
esrj-78880	136	22	m	m	PROPN
esrj-78880	136	23	se	se	X
esrj-78880	136	24	(	(	PUNCT
esrj-78880	136	25	c	c	NOUN
esrj-78880	136	26	v	v	NOUN
esrj-78880	136	27	=	=	SYM
esrj-78880	136	28	5	5	X
esrj-78880	136	29	)	)	PUNCT
esrj-78880	136	30	training	training	NOUN
esrj-78880	136	31	epochs	epoch	NOUN
esrj-78880	136	32	glorot	glorot	VERB
esrj-78880	136	33	uniform	uniform	ADJ
esrj-78880	136	34	random	random	ADJ
esrj-78880	136	35	normal	normal	ADJ
esrj-78880	136	36	random	random	ADJ
esrj-78880	136	37	uniform	uniform	NOUN
esrj-78880	136	38	variance	variance	NOUN
esrj-78880	136	39	scaling	scale	VERB
esrj-78880	136	40	figure	figure	NOUN
esrj-78880	136	41	5	5	NUM
esrj-78880	136	42	.	.	PUNCT
esrj-78880	136	43	comparison	comparison	NOUN
esrj-78880	136	44	between	between	ADP
esrj-78880	136	45	the	the	DET
esrj-78880	136	46	initialization	initialization	NOUN
esrj-78880	136	47	methods	method	NOUN
esrj-78880	136	48	of	of	ADP
esrj-78880	136	49	synaptic	synaptic	ADJ
esrj-78880	136	50	weights	weight	NOUN
esrj-78880	136	51	day	day	NOUN
esrj-78880	136	52	06/10/2015	06/10/2015	NUM
esrj-78880	136	53	–	–	PUNCT
esrj-78880	136	54	third	third	ADJ
esrj-78880	136	55	test	test	NOUN
esrj-78880	136	56	day	day	NOUN
esrj-78880	136	57	(	(	PUNCT
esrj-78880	136	58	01:30	01:30	NUM
esrj-78880	136	59	02:00	02:00	NUM
esrj-78880	136	60	pm	pm	NOUN
esrj-78880	136	61	)	)	PUNCT
esrj-78880	136	62	carrier	carrier	NOUN
esrj-78880	136	63	phase	phase	NOUN
esrj-78880	136	64	ann	ann	PROPN
esrj-78880	136	65	model	model	NOUN
esrj-78880	136	66	for	for	ADP
esrj-78880	136	67	the	the	DET
esrj-78880	136	68	carrier	carrier	NOUN
esrj-78880	136	69	phase	phase	NOUN
esrj-78880	136	70	,	,	PUNCT
esrj-78880	136	71	again	again	ADV
esrj-78880	136	72	using	use	VERB
esrj-78880	136	73	the	the	DET
esrj-78880	136	74	minmaxscaler	minmaxscaler	ADJ
esrj-78880	136	75	class	class	NOUN
esrj-78880	136	76	from	from	ADP
esrj-78880	136	77	the	the	DET
esrj-78880	136	78	scikit	scikit	NOUN
esrj-78880	136	79	-	-	PUNCT
esrj-78880	136	80	learn	learn	NOUN
esrj-78880	136	81	library	library	NOUN
esrj-78880	136	82	(	(	PUNCT
esrj-78880	136	83	scikit	scikit	NOUN
esrj-78880	136	84	-	-	PUNCT
esrj-78880	136	85	learn	learn	NOUN
esrj-78880	136	86	,	,	PUNCT
esrj-78880	136	87	2018	2018	NUM
esrj-78880	136	88	)	)	PUNCT
esrj-78880	136	89	,	,	PUNCT
esrj-78880	136	90	the	the	DET
esrj-78880	136	91	data	datum	NOUN
esrj-78880	136	92	were	be	AUX
esrj-78880	136	93	normalized	normalize	VERB
esrj-78880	136	94	between	between	ADP
esrj-78880	136	95	the	the	DET
esrj-78880	136	96	intervals	interval	NOUN
esrj-78880	136	97	-1	-1	PUNCT
esrj-78880	136	98	and	and	CCONJ
esrj-78880	136	99	1	1	NUM
esrj-78880	136	100	,	,	PUNCT
esrj-78880	136	101	reducing	reduce	VERB
esrj-78880	136	102	the	the	DET
esrj-78880	136	103	propagation	propagation	NOUN
esrj-78880	136	104	of	of	ADP
esrj-78880	136	105	the	the	DET
esrj-78880	136	106	error	error	NOUN
esrj-78880	136	107	,	,	PUNCT
esrj-78880	136	108	as	as	SCONJ
esrj-78880	136	109	the	the	DET
esrj-78880	136	110	normalization	normalization	NOUN
esrj-78880	136	111	factor	factor	NOUN
esrj-78880	136	112	is	be	AUX
esrj-78880	136	113	smaller	small	ADJ
esrj-78880	136	114	(	(	PUNCT
esrj-78880	136	115	leandro	leandro	PROPN
esrj-78880	136	116	et	et	PROPN
esrj-78880	136	117	al	al	PROPN
esrj-78880	136	118	.	.	PROPN
esrj-78880	136	119	,	,	PUNCT
esrj-78880	136	120	2007	2007	NUM
esrj-78880	136	121	)	)	PUNCT
esrj-78880	136	122	.	.	PUNCT
esrj-78880	137	1	in	in	ADP
esrj-78880	137	2	addition	addition	NOUN
esrj-78880	137	3	,	,	PUNCT
esrj-78880	137	4	at	at	ADP
esrj-78880	137	5	this	this	DET
esrj-78880	137	6	stage	stage	NOUN
esrj-78880	137	7	of	of	ADP
esrj-78880	137	8	the	the	DET
esrj-78880	137	9	research	research	NOUN
esrj-78880	137	10	,	,	PUNCT
esrj-78880	137	11	it	it	PRON
esrj-78880	137	12	was	be	AUX
esrj-78880	137	13	chosen	choose	VERB
esrj-78880	137	14	to	to	PART
esrj-78880	137	15	restrict	restrict	VERB
esrj-78880	137	16	signal	signal	NOUN
esrj-78880	137	17	strength	strength	NOUN
esrj-78880	137	18	(	(	PUNCT
esrj-78880	137	19	intensity	intensity	NOUN
esrj-78880	137	20	equal	equal	ADJ
esrj-78880	137	21	to	to	ADP
esrj-78880	137	22	5	5	NUM
esrj-78880	137	23	)	)	PUNCT
esrj-78880	137	24	,	,	PUNCT
esrj-78880	137	25	training	train	VERB
esrj-78880	137	26	the	the	DET
esrj-78880	137	27	ann	ann	PROPN
esrj-78880	137	28	only	only	ADV
esrj-78880	137	29	with	with	ADP
esrj-78880	137	30	the	the	DET
esrj-78880	137	31	highest	high	ADJ
esrj-78880	137	32	quality	quality	NOUN
esrj-78880	137	33	observations	observation	NOUN
esrj-78880	137	34	.	.	PUNCT
esrj-78880	138	1	the	the	DET
esrj-78880	138	2	tests	test	NOUN
esrj-78880	138	3	on	on	ADP
esrj-78880	138	4	the	the	DET
esrj-78880	138	5	number	number	NOUN
esrj-78880	138	6	of	of	ADP
esrj-78880	138	7	hidden	hidden	ADJ
esrj-78880	138	8	layers	layer	NOUN
esrj-78880	138	9	and	and	CCONJ
esrj-78880	138	10	neurons	neuron	NOUN
esrj-78880	138	11	were	be	AUX
esrj-78880	138	12	limited	limit	VERB
esrj-78880	138	13	to	to	ADP
esrj-78880	138	14	evaluating	evaluate	VERB
esrj-78880	138	15	only	only	ADV
esrj-78880	138	16	one	one	NUM
esrj-78880	138	17	or	or	CCONJ
esrj-78880	138	18	two	two	NUM
esrj-78880	138	19	intermediate	intermediate	ADJ
esrj-78880	138	20	layer	layer	NOUN
esrj-78880	138	21	topologies	topology	NOUN
esrj-78880	138	22	since	since	ADV
esrj-78880	138	23	,	,	PUNCT
esrj-78880	138	24	above	above	ADP
esrj-78880	138	25	that	that	PRON
esrj-78880	138	26	,	,	PUNCT
esrj-78880	138	27	overfitting	overfitte	VERB
esrj-78880	138	28	of	of	ADP
esrj-78880	138	29	the	the	DET
esrj-78880	138	30	samples	sample	NOUN
esrj-78880	138	31	was	be	AUX
esrj-78880	138	32	verified	verify	VERB
esrj-78880	138	33	.	.	PUNCT
esrj-78880	139	1	figure	figure	VERB
esrj-78880	139	2	6	6	NUM
esrj-78880	139	3	shows	show	VERB
esrj-78880	139	4	the	the	DET
esrj-78880	139	5	results	result	NOUN
esrj-78880	139	6	obtained	obtain	VERB
esrj-78880	139	7	for	for	ADP
esrj-78880	139	8	the	the	DET
esrj-78880	139	9	fourth	fourth	ADJ
esrj-78880	139	10	test	test	NOUN
esrj-78880	139	11	day	day	NOUN
esrj-78880	139	12	(	(	PUNCT
esrj-78880	139	13	01/20/2016	01/20/2016	NUM
esrj-78880	139	14	)	)	PUNCT
esrj-78880	139	15	.	.	PUNCT
esrj-78880	140	1	in	in	ADP
esrj-78880	140	2	red	red	PROPN
esrj-78880	140	3	(	(	PUNCT
esrj-78880	140	4	8)	8)	NUM
esrj-78880	140	5	,	,	PUNCT
esrj-78880	140	6	the	the	DET
esrj-78880	140	7	topology	topology	NOUN
esrj-78880	140	8	selected	select	VERB
esrj-78880	140	9	in	in	ADP
esrj-78880	140	10	this	this	DET
esrj-78880	140	11	work	work	NOUN
esrj-78880	140	12	is	be	AUX
esrj-78880	140	13	highlighted	highlight	VERB
esrj-78880	140	14	,	,	PUNCT
esrj-78880	140	15	and	and	CCONJ
esrj-78880	140	16	in	in	ADP
esrj-78880	140	17	black	black	ADJ
esrj-78880	140	18	(	(	PUNCT
esrj-78880	140	19	6	6	NUM
esrj-78880	140	20	)	)	PUNCT
esrj-78880	140	21	,	,	PUNCT
esrj-78880	140	22	the	the	DET
esrj-78880	140	23	configuration	configuration	NOUN
esrj-78880	140	24	adopted	adopt	VERB
esrj-78880	140	25	by	by	ADP
esrj-78880	140	26	silva	silva	NOUN
esrj-78880	140	27	(	(	PUNCT
esrj-78880	140	28	2003	2003	NUM
esrj-78880	140	29	)	)	PUNCT
esrj-78880	140	30	and	and	CCONJ
esrj-78880	140	31	used	use	VERB
esrj-78880	140	32	in	in	ADP
esrj-78880	140	33	mazzetto	mazzetto	NOUN
esrj-78880	140	34	(	(	PUNCT
esrj-78880	140	35	2017	2017	NUM
esrj-78880	140	36	)	)	PUNCT
esrj-78880	140	37	is	be	AUX
esrj-78880	140	38	shown	show	VERB
esrj-78880	140	39	.	.	PUNCT
esrj-78880	141	1	regarding	regard	VERB
esrj-78880	141	2	the	the	DET
esrj-78880	141	3	activation	activation	NOUN
esrj-78880	141	4	functions	function	NOUN
esrj-78880	141	5	,	,	PUNCT
esrj-78880	141	6	two	two	NUM
esrj-78880	141	7	types	type	NOUN
esrj-78880	141	8	were	be	AUX
esrj-78880	141	9	investigated	investigate	VERB
esrj-78880	141	10	:	:	PUNCT
esrj-78880	141	11	linear	linear	ADJ
esrj-78880	141	12	and	and	CCONJ
esrj-78880	141	13	hyperbolic	hyperbolic	ADJ
esrj-78880	141	14	tangent	tangent	NOUN
esrj-78880	141	15	(	(	PUNCT
esrj-78880	141	16	tanh	tanh	NOUN
esrj-78880	141	17	)	)	PUNCT
esrj-78880	141	18	.	.	PUNCT
esrj-78880	142	1	figure	figure	NOUN
esrj-78880	142	2	7	7	NUM
esrj-78880	142	3	shows	show	VERB
esrj-78880	142	4	the	the	DET
esrj-78880	142	5	results	result	NOUN
esrj-78880	142	6	.	.	PUNCT
esrj-78880	143	1	based	base	VERB
esrj-78880	143	2	on	on	ADP
esrj-78880	143	3	all	all	DET
esrj-78880	143	4	tests	test	NOUN
esrj-78880	143	5	,	,	PUNCT
esrj-78880	143	6	it	it	PRON
esrj-78880	143	7	was	be	AUX
esrj-78880	143	8	found	find	VERB
esrj-78880	143	9	that	that	SCONJ
esrj-78880	143	10	the	the	DET
esrj-78880	143	11	tanh	tanh	PROPN
esrj-78880	143	12	function	function	NOUN
esrj-78880	143	13	converged	converge	VERB
esrj-78880	143	14	faster	fast	ADV
esrj-78880	143	15	and	and	CCONJ
esrj-78880	143	16	produced	produce	VERB
esrj-78880	143	17	the	the	DET
esrj-78880	143	18	best	good	ADJ
esrj-78880	143	19	positioning	positioning	NOUN
esrj-78880	143	20	solutions	solution	NOUN
esrj-78880	143	21	and	and	CCONJ
esrj-78880	143	22	,	,	PUNCT
esrj-78880	143	23	for	for	ADP
esrj-78880	143	24	these	these	DET
esrj-78880	143	25	reasons	reason	NOUN
esrj-78880	143	26	,	,	PUNCT
esrj-78880	143	27	was	be	AUX
esrj-78880	143	28	adopted	adopt	VERB
esrj-78880	143	29	for	for	ADP
esrj-78880	143	30	the	the	DET
esrj-78880	143	31	ann	ann	PROPN
esrj-78880	143	32	of	of	ADP
esrj-78880	143	33	the	the	DET
esrj-78880	143	34	carrier	carrier	NOUN
esrj-78880	143	35	phase	phase	NOUN
esrj-78880	143	36	.	.	PUNCT
esrj-78880	144	1	regarding	regard	VERB
esrj-78880	144	2	the	the	DET
esrj-78880	144	3	optimization	optimization	NOUN
esrj-78880	144	4	algorithms	algorithm	NOUN
esrj-78880	144	5	,	,	PUNCT
esrj-78880	144	6	adam	adam	PROPN
esrj-78880	144	7	and	and	CCONJ
esrj-78880	144	8	sgd	sgd	PROPN
esrj-78880	144	9	were	be	AUX
esrj-78880	144	10	tested	test	VERB
esrj-78880	144	11	again	again	ADV
esrj-78880	144	12	,	,	PUNCT
esrj-78880	144	13	and	and	CCONJ
esrj-78880	144	14	the	the	DET
esrj-78880	144	15	first	first	ADJ
esrj-78880	144	16	algorithm	algorithm	NOUN
esrj-78880	144	17	was	be	AUX
esrj-78880	144	18	chosen	choose	VERB
esrj-78880	144	19	because	because	SCONJ
esrj-78880	144	20	it	it	PRON
esrj-78880	144	21	provided	provide	VERB
esrj-78880	144	22	the	the	DET
esrj-78880	144	23	best	good	ADJ
esrj-78880	144	24	results	result	NOUN
esrj-78880	144	25	.	.	PUNCT
esrj-78880	145	1	figure	figure	VERB
esrj-78880	145	2	8	8	NUM
esrj-78880	145	3	shows	show	VERB
esrj-78880	145	4	one	one	NUM
esrj-78880	145	5	of	of	ADP
esrj-78880	145	6	the	the	DET
esrj-78880	145	7	tests	test	NOUN
esrj-78880	145	8	carried	carry	VERB
esrj-78880	145	9	out	out	ADP
esrj-78880	145	10	that	that	PRON
esrj-78880	145	11	corroborates	corroborate	VERB
esrj-78880	145	12	this	this	DET
esrj-78880	145	13	conclusion	conclusion	NOUN
esrj-78880	145	14	.	.	PUNCT
esrj-78880	146	1	0.00	0.00	NUM
esrj-78880	146	2	0.10	0.10	NUM
esrj-78880	146	3	0.20	0.20	NUM
esrj-78880	146	4	0.30	0.30	NUM
esrj-78880	146	5	0.40	0.40	NUM
esrj-78880	146	6	0.50	0.50	NUM
esrj-78880	146	7	0	0	NUM
esrj-78880	146	8	25	25	NUM
esrj-78880	146	9	50	50	NUM
esrj-78880	146	10	75	75	NUM
esrj-78880	146	11	100	100	NUM
esrj-78880	146	12	125	125	NUM
esrj-78880	146	13	150	150	NUM
esrj-78880	146	14	a	a	DET
esrj-78880	146	15	ve	ve	NOUN
esrj-78880	146	16	ra	ra	PROPN
esrj-78880	146	17	ge	ge	PROPN
esrj-78880	146	18	v	v	PROPN
esrj-78880	146	19	al	al	PROPN
esrj-78880	146	20	i	i	PROPN
esrj-78880	146	21	d	d	PROPN
esrj-78880	146	22	at	at	ADP
esrj-78880	146	23	io	io	PROPN
esrj-78880	146	24	n	n	PROPN
esrj-78880	146	25	m	m	PROPN
esrj-78880	146	26	se	se	X
esrj-78880	146	27	(	(	PUNCT
esrj-78880	146	28	c	c	NOUN
esrj-78880	146	29	v	v	NOUN
esrj-78880	146	30	=	=	SYM
esrj-78880	146	31	5	5	X
esrj-78880	146	32	)	)	PUNCT
esrj-78880	146	33	training	training	NOUN
esrj-78880	146	34	epochs	epoch	NOUN
esrj-78880	146	35	adam	adam	PROPN
esrj-78880	146	36	sgd	sgd	PROPN
esrj-78880	146	37	figure	figure	NOUN
esrj-78880	146	38	8	8	NUM
esrj-78880	146	39	.	.	PUNCT
esrj-78880	147	1	comparison	comparison	NOUN
esrj-78880	147	2	between	between	ADP
esrj-78880	147	3	optimization	optimization	NOUN
esrj-78880	147	4	algorithms	algorithm	NOUN
esrj-78880	147	5	06/10/2015	06/10/2015	NUM
esrj-78880	147	6	–	–	PUNCT
esrj-78880	147	7	third	third	ADJ
esrj-78880	147	8	test	test	NOUN
esrj-78880	147	9	day	day	NOUN
esrj-78880	147	10	(	(	PUNCT
esrj-78880	147	11	01:30	01:30	NUM
esrj-78880	147	12	02:00	02:00	NUM
esrj-78880	147	13	pm	pm	NOUN
esrj-78880	147	14	)	)	PUNCT
esrj-78880	147	15	.	.	PUNCT
esrj-78880	148	1	finally	finally	ADV
esrj-78880	148	2	,	,	PUNCT
esrj-78880	148	3	the	the	DET
esrj-78880	148	4	last	last	ADJ
esrj-78880	148	5	analysis	analysis	NOUN
esrj-78880	148	6	verified	verify	VERB
esrj-78880	148	7	which	which	DET
esrj-78880	148	8	initialization	initialization	NOUN
esrj-78880	148	9	methods	method	NOUN
esrj-78880	148	10	of	of	ADP
esrj-78880	148	11	the	the	DET
esrj-78880	148	12	synaptic	synaptic	ADJ
esrj-78880	148	13	weights	weight	NOUN
esrj-78880	148	14	generate	generate	VERB
esrj-78880	148	15	the	the	DET
esrj-78880	148	16	lowest	low	ADJ
esrj-78880	148	17	validation	validation	NOUN
esrj-78880	148	18	mse	mse	NOUN
esrj-78880	148	19	values	value	NOUN
esrj-78880	148	20	.	.	PUNCT
esrj-78880	149	1	according	accord	VERB
esrj-78880	149	2	to	to	ADP
esrj-78880	149	3	0.00	0.00	NUM
esrj-78880	149	4	0.02	0.02	NUM
esrj-78880	149	5	0.04	0.04	NUM
esrj-78880	149	6	0.06	0.06	NUM
esrj-78880	149	7	0.08	0.08	NUM
esrj-78880	149	8	0	0	NUM
esrj-78880	149	9	25	25	NUM
esrj-78880	149	10	50	50	NUM
esrj-78880	149	11	75	75	NUM
esrj-78880	149	12	100	100	NUM
esrj-78880	149	13	125	125	NUM
esrj-78880	149	14	150	150	NUM
esrj-78880	149	15	a	a	DET
esrj-78880	149	16	ve	ve	NOUN
esrj-78880	149	17	ra	ra	PROPN
esrj-78880	149	18	ge	ge	PROPN
esrj-78880	149	19	v	v	PROPN
esrj-78880	149	20	al	al	PROPN
esrj-78880	149	21	i	i	PROPN
esrj-78880	149	22	d	d	PROPN
esrj-78880	149	23	at	at	ADP
esrj-78880	149	24	io	io	PROPN
esrj-78880	149	25	n	n	PROPN
esrj-78880	149	26	m	m	PROPN
esrj-78880	149	27	se	se	X
esrj-78880	149	28	(	(	PUNCT
esrj-78880	149	29	c	c	NOUN
esrj-78880	149	30	v	v	NOUN
esrj-78880	149	31	=	=	SYM
esrj-78880	149	32	5	5	X
esrj-78880	149	33	)	)	PUNCT
esrj-78880	149	34	training	training	NOUN
esrj-78880	149	35	epochs	epoch	NOUN
esrj-78880	149	36	5	5	NUM
esrj-78880	149	37	6	6	NUM
esrj-78880	149	38	8	8	NUM
esrj-78880	149	39	10	10	NUM
esrj-78880	149	40	11	11	NUM
esrj-78880	149	41	3	3	NUM
esrj-78880	149	42	-	-	SYM
esrj-78880	149	43	2	2	NUM
esrj-78880	149	44	5	5	NUM
esrj-78880	149	45	-	-	SYM
esrj-78880	149	46	2	2	NUM
esrj-78880	149	47	5	5	NUM
esrj-78880	149	48	-	-	SYM
esrj-78880	149	49	3	3	NUM
esrj-78880	149	50	6	6	NUM
esrj-78880	149	51	-	-	SYM
esrj-78880	149	52	2	2	NUM
esrj-78880	149	53	6	6	NUM
esrj-78880	149	54	-	-	SYM
esrj-78880	149	55	4	4	NUM
esrj-78880	149	56	figure	figure	NOUN
esrj-78880	149	57	6	6	NUM
esrj-78880	149	58	.	.	PUNCT
esrj-78880	149	59	comparison	comparison	NOUN
esrj-78880	149	60	between	between	ADP
esrj-78880	149	61	models	model	NOUN
esrj-78880	149	62	with	with	ADP
esrj-78880	149	63	different	different	ADJ
esrj-78880	149	64	numbers	number	NOUN
esrj-78880	149	65	of	of	ADP
esrj-78880	149	66	hidden	hidden	ADJ
esrj-78880	149	67	layers	layer	NOUN
esrj-78880	149	68	and	and	CCONJ
esrj-78880	149	69	artificial	artificial	ADJ
esrj-78880	149	70	neurons	neuron	NOUN
esrj-78880	149	71	day	day	NOUN
esrj-78880	149	72	01/20/2016	01/20/2016	NUM
esrj-78880	149	73	–	–	PUNCT
esrj-78880	149	74	fourth	fourth	ADJ
esrj-78880	149	75	test	test	NOUN
esrj-78880	149	76	day	day	NOUN
esrj-78880	149	77	(	(	PUNCT
esrj-78880	149	78	03:00	03:00	NUM
esrj-78880	149	79	03:30	03:30	NUM
esrj-78880	149	80	pm	pm	NOUN
esrj-78880	149	81	)	)	PUNCT
esrj-78880	149	82	0.00	0.00	NUM
esrj-78880	149	83	0.04	0.04	NUM
esrj-78880	149	84	0.08	0.08	NUM
esrj-78880	149	85	0.12	0.12	NUM
esrj-78880	149	86	0.16	0.16	NUM
esrj-78880	149	87	0.20	0.20	NUM
esrj-78880	149	88	0	0	NUM
esrj-78880	149	89	25	25	NUM
esrj-78880	149	90	50	50	NUM
esrj-78880	149	91	75	75	NUM
esrj-78880	149	92	100	100	NUM
esrj-78880	149	93	125	125	NUM
esrj-78880	149	94	150	150	NUM
esrj-78880	149	95	a	a	DET
esrj-78880	149	96	ve	ve	NOUN
esrj-78880	149	97	ra	ra	PROPN
esrj-78880	149	98	ge	ge	PROPN
esrj-78880	149	99	v	v	PROPN
esrj-78880	149	100	al	al	PROPN
esrj-78880	149	101	i	i	PROPN
esrj-78880	149	102	d	d	PROPN
esrj-78880	149	103	at	at	ADP
esrj-78880	149	104	io	io	PROPN
esrj-78880	149	105	n	n	PROPN
esrj-78880	149	106	m	m	PROPN
esrj-78880	149	107	se	se	X
esrj-78880	149	108	(	(	PUNCT
esrj-78880	149	109	c	c	NOUN
esrj-78880	149	110	v	v	NOUN
esrj-78880	149	111	=	=	SYM
esrj-78880	149	112	5	5	X
esrj-78880	149	113	)	)	PUNCT
esrj-78880	149	114	training	training	NOUN
esrj-78880	149	115	epochs	epoch	NOUN
esrj-78880	149	116	linear	linear	ADJ
esrj-78880	149	117	function	function	NOUN
esrj-78880	149	118	tanh	tanh	PROPN
esrj-78880	149	119	function	function	PROPN
esrj-78880	149	120	figure	figure	NOUN
esrj-78880	149	121	7	7	NUM
esrj-78880	149	122	.	.	PUNCT
esrj-78880	149	123	comparison	comparison	NOUN
esrj-78880	149	124	of	of	ADP
esrj-78880	149	125	activation	activation	NOUN
esrj-78880	149	126	functions	function	NOUN
esrj-78880	149	127	day	day	NOUN
esrj-78880	149	128	09/15/2014	09/15/2014	NUM
esrj-78880	149	129	–	–	PUNCT
esrj-78880	149	130	first	first	ADJ
esrj-78880	149	131	test	test	NOUN
esrj-78880	149	132	day	day	NOUN
esrj-78880	149	133	(	(	PUNCT
esrj-78880	149	134	01:00	01:00	NUM
esrj-78880	149	135	01:30	01:30	NUM
esrj-78880	149	136	pm	pm	NOUN
esrj-78880	149	137	)	)	PUNCT
esrj-78880	149	138	.	.	PUNCT
esrj-78880	150	1	102	102	NUM
esrj-78880	150	2	cassio	cassio	PROPN
esrj-78880	150	3	vinícius	vinícius	PROPN
esrj-78880	150	4	carletti	carletti	PROPN
esrj-78880	150	5	negri	negri	NOUN
esrj-78880	150	6	,	,	PUNCT
esrj-78880	150	7	paulo	paulo	PROPN
esrj-78880	150	8	cesar	cesar	PROPN
esrj-78880	150	9	lima	lima	PROPN
esrj-78880	150	10	segantine	segantine	NOUN
esrj-78880	150	11	figure	figure	NOUN
esrj-78880	150	12	9	9	NUM
esrj-78880	150	13	,	,	PUNCT
esrj-78880	150	14	it	it	PRON
esrj-78880	150	15	is	be	AUX
esrj-78880	150	16	observed	observe	VERB
esrj-78880	150	17	that	that	SCONJ
esrj-78880	150	18	starting	start	VERB
esrj-78880	150	19	weights	weight	NOUN
esrj-78880	150	20	randomly	randomly	ADV
esrj-78880	150	21	and	and	CCONJ
esrj-78880	150	22	with	with	ADP
esrj-78880	150	23	a	a	DET
esrj-78880	150	24	uniform	uniform	ADJ
esrj-78880	150	25	distribution	distribution	NOUN
esrj-78880	150	26	generated	generate	VERB
esrj-78880	150	27	good	good	ADJ
esrj-78880	150	28	results	result	NOUN
esrj-78880	150	29	.	.	PUNCT
esrj-78880	151	1	0.00	0.00	NUM
esrj-78880	151	2	0.03	0.03	NUM
esrj-78880	151	3	0.05	0.05	NUM
esrj-78880	151	4	0.08	0.08	NUM
esrj-78880	151	5	0.10	0.10	NUM
esrj-78880	151	6	0	0	NUM
esrj-78880	151	7	25	25	NUM
esrj-78880	151	8	50	50	NUM
esrj-78880	151	9	75	75	NUM
esrj-78880	151	10	100	100	NUM
esrj-78880	151	11	125	125	NUM
esrj-78880	151	12	150a	150a	NOUN
esrj-78880	151	13	ve	ve	VERB
esrj-78880	151	14	ra	ra	NOUN
esrj-78880	151	15	ge	ge	PROPN
esrj-78880	151	16	v	v	PROPN
esrj-78880	151	17	al	al	PROPN
esrj-78880	151	18	i	i	PROPN
esrj-78880	151	19	d	d	PROPN
esrj-78880	151	20	at	at	ADP
esrj-78880	151	21	io	io	PROPN
esrj-78880	151	22	n	n	PROPN
esrj-78880	151	23	m	m	PROPN
esrj-78880	151	24	se	se	X
esrj-78880	151	25	(	(	PUNCT
esrj-78880	151	26	c	c	NOUN
esrj-78880	151	27	v	v	NOUN
esrj-78880	151	28	=	=	SYM
esrj-78880	151	29	5	5	X
esrj-78880	151	30	)	)	PUNCT
esrj-78880	151	31	training	training	NOUN
esrj-78880	151	32	epochs	epoch	NOUN
esrj-78880	151	33	glorot	glorot	VERB
esrj-78880	151	34	uniform	uniform	ADJ
esrj-78880	151	35	random	random	ADJ
esrj-78880	151	36	normal	normal	ADJ
esrj-78880	151	37	random	random	ADJ
esrj-78880	151	38	uniform	uniform	NOUN
esrj-78880	151	39	variance	variance	NOUN
esrj-78880	151	40	scaling	scale	VERB
esrj-78880	151	41	figure	figure	NOUN
esrj-78880	151	42	9	9	NUM
esrj-78880	151	43	.	.	PUNCT
esrj-78880	151	44	comparison	comparison	NOUN
esrj-78880	151	45	between	between	ADP
esrj-78880	151	46	the	the	DET
esrj-78880	151	47	initialization	initialization	NOUN
esrj-78880	151	48	methods	method	NOUN
esrj-78880	151	49	of	of	ADP
esrj-78880	151	50	synaptic	synaptic	ADJ
esrj-78880	151	51	weights	weight	NOUN
esrj-78880	151	52	01/10/2015	01/10/2015	NUM
esrj-78880	151	53	–	–	PUNCT
esrj-78880	151	54	second	second	ADJ
esrj-78880	151	55	test	test	NOUN
esrj-78880	151	56	day	day	NOUN
esrj-78880	151	57	(	(	PUNCT
esrj-78880	151	58	2:30	2:30	NUM
esrj-78880	151	59	3:00	3:00	NUM
esrj-78880	151	60	pm	pm	NOUN
esrj-78880	151	61	)	)	PUNCT
esrj-78880	151	62	.	.	PUNCT
esrj-78880	152	1	ann	ann	PROPN
esrj-78880	152	2	training	training	NOUN
esrj-78880	152	3	and	and	CCONJ
esrj-78880	152	4	validation	validation	NOUN
esrj-78880	152	5	with	with	ADP
esrj-78880	152	6	the	the	DET
esrj-78880	152	7	network	network	NOUN
esrj-78880	152	8	configurations	configuration	NOUN
esrj-78880	152	9	and	and	CCONJ
esrj-78880	152	10	all	all	DET
esrj-78880	152	11	parameters	parameter	NOUN
esrj-78880	152	12	selected	select	VERB
esrj-78880	152	13	,	,	PUNCT
esrj-78880	152	14	the	the	DET
esrj-78880	152	15	l2	l2	NOUN
esrj-78880	152	16	carrier	carrier	NOUN
esrj-78880	152	17	phase	phase	NOUN
esrj-78880	152	18	and	and	CCONJ
esrj-78880	152	19	code	code	NOUN
esrj-78880	152	20	observations	observation	NOUN
esrj-78880	152	21	of	of	ADP
esrj-78880	152	22	the	the	DET
esrj-78880	152	23	eesc	eesc	NOUN
esrj-78880	152	24	station	station	NOUN
esrj-78880	152	25	were	be	AUX
esrj-78880	152	26	generated	generate	VERB
esrj-78880	152	27	for	for	ADP
esrj-78880	152	28	the	the	DET
esrj-78880	152	29	four	four	NUM
esrj-78880	152	30	days	day	NOUN
esrj-78880	152	31	.	.	PUNCT
esrj-78880	153	1	table	table	NOUN
esrj-78880	153	2	3	3	NUM
esrj-78880	153	3	shows	show	VERB
esrj-78880	153	4	the	the	DET
esrj-78880	153	5	total	total	ADJ
esrj-78880	153	6	sum	sum	NOUN
esrj-78880	153	7	of	of	ADP
esrj-78880	153	8	training	training	NOUN
esrj-78880	153	9	epochs	epoch	NOUN
esrj-78880	153	10	of	of	ADP
esrj-78880	153	11	the	the	DET
esrj-78880	153	12	anns	ann	NOUN
esrj-78880	153	13	,	,	PUNCT
esrj-78880	153	14	the	the	DET
esrj-78880	153	15	learning	learning	NOUN
esrj-78880	153	16	time	time	NOUN
esrj-78880	153	17	and	and	CCONJ
esrj-78880	153	18	the	the	DET
esrj-78880	153	19	validation	validation	NOUN
esrj-78880	153	20	mse	mse	NOUN
esrj-78880	153	21	for	for	ADP
esrj-78880	153	22	each	each	DET
esrj-78880	153	23	observable	observable	ADJ
esrj-78880	153	24	..	..	PUNCT
esrj-78880	153	25	table	table	NOUN
esrj-78880	153	26	3	3	NUM
esrj-78880	153	27	.	.	PUNCT
esrj-78880	153	28	total	total	ADJ
esrj-78880	153	29	sum	sum	NOUN
esrj-78880	153	30	of	of	ADP
esrj-78880	153	31	the	the	DET
esrj-78880	153	32	number	number	NOUN
esrj-78880	153	33	of	of	ADP
esrj-78880	153	34	training	training	NOUN
esrj-78880	153	35	epochs	epoch	NOUN
esrj-78880	153	36	and	and	CCONJ
esrj-78880	153	37	time	time	NOUN
esrj-78880	153	38	for	for	ADP
esrj-78880	153	39	generating	generate	VERB
esrj-78880	153	40	the	the	DET
esrj-78880	153	41	l2	l2	NOUN
esrj-78880	153	42	carrier	carrier	NOUN
esrj-78880	153	43	observables	observable	NOUN
esrj-78880	153	44	test	test	NOUN
esrj-78880	153	45	date	date	NOUN
esrj-78880	153	46	validation	validation	NOUN
esrj-78880	153	47	mse	mse	PROPN
esrj-78880	153	48	(	(	PUNCT
esrj-78880	153	49	p2	p2	PROPN
esrj-78880	153	50	code	code	NOUN
esrj-78880	153	51	)	)	PUNCT
esrj-78880	153	52	validation	validation	NOUN
esrj-78880	153	53	mse	mse	NOUN
esrj-78880	153	54	(	(	PUNCT
esrj-78880	153	55	l2	l2	NOUN
esrj-78880	153	56	phase	phase	NOUN
esrj-78880	153	57	)	)	PUNCT
esrj-78880	153	58	training	training	NOUN
esrj-78880	153	59	epochs	epoch	NOUN
esrj-78880	153	60	duration	duration	NOUN
esrj-78880	153	61	(	(	PUNCT
esrj-78880	153	62	s	s	NOUN
esrj-78880	153	63	)	)	PUNCT
esrj-78880	153	64	1	1	NUM
esrj-78880	153	65	09/15/2014	09/15/2014	NOUN
esrj-78880	153	66	0.002882	0.002882	NUM
esrj-78880	153	67	0.003958	0.003958	NUM
esrj-78880	153	68	369	369	NUM
esrj-78880	153	69	36.77	36.77	NUM
esrj-78880	153	70	2	2	NUM
esrj-78880	153	71	01/10/2015	01/10/2015	NUM
esrj-78880	153	72	0.004782	0.004782	NUM
esrj-78880	153	73	0.007323	0.007323	NUM
esrj-78880	153	74	219	219	NUM
esrj-78880	153	75	29.28	29.28	NUM
esrj-78880	153	76	3	3	NUM
esrj-78880	153	77	06/10/2015	06/10/2015	NUM
esrj-78880	153	78	0.001514	0.001514	NUM
esrj-78880	153	79	0.034828	0.034828	NUM
esrj-78880	153	80	88	88	NUM
esrj-78880	153	81	91.77	91.77	NUM
esrj-78880	153	82	4	4	NUM
esrj-78880	153	83	01/20/2016	01/20/2016	NUM
esrj-78880	153	84	0.000095	0.000095	NUM
esrj-78880	153	85	0.210098	0.210098	NUM
esrj-78880	153	86	23	23	NUM
esrj-78880	153	87	4.95	4.95	NUM
esrj-78880	153	88	it	it	PRON
esrj-78880	153	89	was	be	AUX
esrj-78880	153	90	verified	verify	VERB
esrj-78880	153	91	that	that	SCONJ
esrj-78880	153	92	the	the	DET
esrj-78880	153	93	mse	mse	PROPN
esrj-78880	153	94	performance	performance	NOUN
esrj-78880	153	95	parameter	parameter	NOUN
esrj-78880	153	96	of	of	ADP
esrj-78880	153	97	the	the	DET
esrj-78880	153	98	code	code	NOUN
esrj-78880	153	99	presented	present	VERB
esrj-78880	153	100	very	very	ADV
esrj-78880	153	101	low	low	ADJ
esrj-78880	153	102	values	value	NOUN
esrj-78880	153	103	,	,	PUNCT
esrj-78880	153	104	close	close	ADJ
esrj-78880	153	105	to	to	ADP
esrj-78880	153	106	zero	zero	NUM
esrj-78880	153	107	,	,	PUNCT
esrj-78880	153	108	unlike	unlike	ADP
esrj-78880	153	109	the	the	DET
esrj-78880	153	110	ones	one	NOUN
esrj-78880	153	111	exposed	expose	VERB
esrj-78880	153	112	in	in	ADP
esrj-78880	153	113	previous	previous	ADJ
esrj-78880	153	114	works	work	NOUN
esrj-78880	153	115	(	(	PUNCT
esrj-78880	153	116	mazzetto	mazzetto	NOUN
esrj-78880	153	117	,	,	PUNCT
esrj-78880	153	118	2017	2017	NUM
esrj-78880	153	119	)	)	PUNCT
esrj-78880	153	120	,	,	PUNCT
esrj-78880	153	121	where	where	SCONJ
esrj-78880	153	122	these	these	DET
esrj-78880	153	123	numbers	number	NOUN
esrj-78880	153	124	were	be	AUX
esrj-78880	153	125	not	not	PART
esrj-78880	153	126	even	even	ADV
esrj-78880	153	127	below	below	ADP
esrj-78880	153	128	the	the	DET
esrj-78880	153	129	unit	unit	NOUN
esrj-78880	153	130	.	.	PUNCT
esrj-78880	154	1	in	in	ADP
esrj-78880	154	2	general	general	ADJ
esrj-78880	154	3	,	,	PUNCT
esrj-78880	154	4	the	the	DET
esrj-78880	154	5	number	number	NOUN
esrj-78880	154	6	of	of	ADP
esrj-78880	154	7	training	training	NOUN
esrj-78880	154	8	periods	period	NOUN
esrj-78880	154	9	of	of	ADP
esrj-78880	154	10	anns	ann	NOUN
esrj-78880	154	11	,	,	PUNCT
esrj-78880	154	12	considering	consider	VERB
esrj-78880	154	13	both	both	DET
esrj-78880	154	14	models	model	NOUN
esrj-78880	154	15	,	,	PUNCT
esrj-78880	154	16	represents	represent	VERB
esrj-78880	154	17	only	only	ADV
esrj-78880	154	18	1.9	1.9	NUM
esrj-78880	154	19	%	%	NOUN
esrj-78880	154	20	of	of	ADP
esrj-78880	154	21	the	the	DET
esrj-78880	154	22	number	number	NOUN
esrj-78880	154	23	of	of	ADP
esrj-78880	154	24	iterations	iteration	NOUN
esrj-78880	154	25	that	that	PRON
esrj-78880	154	26	were	be	AUX
esrj-78880	154	27	performed	perform	VERB
esrj-78880	154	28	in	in	ADP
esrj-78880	154	29	past	past	ADJ
esrj-78880	154	30	research	research	NOUN
esrj-78880	154	31	for	for	ADP
esrj-78880	154	32	the	the	DET
esrj-78880	154	33	same	same	ADJ
esrj-78880	154	34	sample	sample	NOUN
esrj-78880	154	35	data	datum	NOUN
esrj-78880	154	36	,	,	PUNCT
esrj-78880	154	37	while	while	SCONJ
esrj-78880	154	38	the	the	DET
esrj-78880	154	39	total	total	ADJ
esrj-78880	154	40	process	process	NOUN
esrj-78880	154	41	time	time	NOUN
esrj-78880	154	42	equals	equal	VERB
esrj-78880	154	43	only	only	ADV
esrj-78880	154	44	8.1	8.1	NUM
esrj-78880	154	45	%	%	NOUN
esrj-78880	154	46	.	.	PUNCT
esrj-78880	155	1	these	these	DET
esrj-78880	155	2	numbers	number	NOUN
esrj-78880	155	3	point	point	VERB
esrj-78880	155	4	to	to	ADP
esrj-78880	155	5	the	the	DET
esrj-78880	155	6	optimization	optimization	NOUN
esrj-78880	155	7	of	of	ADP
esrj-78880	155	8	the	the	DET
esrj-78880	155	9	process	process	NOUN
esrj-78880	155	10	of	of	ADP
esrj-78880	155	11	generating	generate	VERB
esrj-78880	155	12	observations	observation	NOUN
esrj-78880	155	13	with	with	ADP
esrj-78880	155	14	anns	ann	NOUN
esrj-78880	155	15	,	,	PUNCT
esrj-78880	155	16	being	be	AUX
esrj-78880	155	17	considerably	considerably	ADV
esrj-78880	155	18	faster	fast	ADV
esrj-78880	155	19	,	,	PUNCT
esrj-78880	155	20	even	even	ADV
esrj-78880	155	21	when	when	SCONJ
esrj-78880	155	22	adopting	adopt	VERB
esrj-78880	155	23	models	model	NOUN
esrj-78880	155	24	with	with	ADP
esrj-78880	155	25	more	more	ADJ
esrj-78880	155	26	than	than	ADP
esrj-78880	155	27	one	one	NUM
esrj-78880	155	28	hidden	hide	VERB
esrj-78880	155	29	layer	layer	NOUN
esrj-78880	155	30	.	.	PUNCT
esrj-78880	156	1	gps	gps	PROPN
esrj-78880	156	2	data	datum	NOUN
esrj-78880	156	3	processing	processing	NOUN
esrj-78880	156	4	as	as	ADP
esrj-78880	156	5	the	the	DET
esrj-78880	156	6	main	main	ADJ
esrj-78880	156	7	objective	objective	NOUN
esrj-78880	156	8	of	of	ADP
esrj-78880	156	9	this	this	DET
esrj-78880	156	10	paper	paper	NOUN
esrj-78880	156	11	was	be	AUX
esrj-78880	156	12	to	to	PART
esrj-78880	156	13	evaluate	evaluate	VERB
esrj-78880	156	14	the	the	DET
esrj-78880	156	15	possibility	possibility	NOUN
esrj-78880	156	16	of	of	ADP
esrj-78880	156	17	improving	improve	VERB
esrj-78880	156	18	positioning	positioning	NOUN
esrj-78880	156	19	solutions	solution	NOUN
esrj-78880	156	20	using	use	VERB
esrj-78880	156	21	anns	ann	NOUN
esrj-78880	156	22	,	,	PUNCT
esrj-78880	156	23	this	this	DET
esrj-78880	156	24	section	section	NOUN
esrj-78880	156	25	shows	show	VERB
esrj-78880	156	26	the	the	DET
esrj-78880	156	27	results	result	NOUN
esrj-78880	156	28	regarding	regard	VERB
esrj-78880	156	29	the	the	DET
esrj-78880	156	30	processing	processing	NOUN
esrj-78880	156	31	of	of	ADP
esrj-78880	156	32	gps	gps	PROPN
esrj-78880	156	33	data	datum	NOUN
esrj-78880	156	34	with	with	ADP
esrj-78880	156	35	artificial	artificial	ADJ
esrj-78880	156	36	observables	observable	NOUN
esrj-78880	156	37	.	.	PUNCT
esrj-78880	157	1	parallels	parallel	NOUN
esrj-78880	157	2	were	be	AUX
esrj-78880	157	3	made	make	VERB
esrj-78880	157	4	between	between	ADP
esrj-78880	157	5	the	the	DET
esrj-78880	157	6	deviations	deviation	NOUN
esrj-78880	157	7	obtained	obtain	VERB
esrj-78880	157	8	with	with	ADP
esrj-78880	157	9	the	the	DET
esrj-78880	157	10	single	single	ADJ
esrj-78880	157	11	-	-	PUNCT
esrj-78880	157	12	frequency	frequency	NOUN
esrj-78880	157	13	solutions	solution	NOUN
esrj-78880	157	14	;	;	PUNCT
esrj-78880	157	15	the	the	DET
esrj-78880	157	16	l1	l1	PROPN
esrj-78880	157	17	+	+	CCONJ
esrj-78880	157	18	l2modif	l2modif	PROPN
esrj-78880	157	19	data	datum	NOUN
esrj-78880	157	20	,	,	PUNCT
esrj-78880	157	21	obtained	obtain	VERB
esrj-78880	157	22	in	in	ADP
esrj-78880	157	23	mazzetto	mazzetto	NOUN
esrj-78880	157	24	(	(	PUNCT
esrj-78880	157	25	2017	2017	NUM
esrj-78880	157	26	)	)	PUNCT
esrj-78880	157	27	;	;	PUNCT
esrj-78880	157	28	and	and	CCONJ
esrj-78880	157	29	the	the	DET
esrj-78880	157	30	l1	l1	PROPN
esrj-78880	157	31	+	+	CCONJ
esrj-78880	157	32	l2a	l2a	PROPN
esrj-78880	157	33	observables	observable	NOUN
esrj-78880	157	34	generated	generate	VERB
esrj-78880	157	35	in	in	ADP
esrj-78880	157	36	the	the	DET
esrj-78880	157	37	present	present	ADJ
esrj-78880	157	38	investigation	investigation	NOUN
esrj-78880	157	39	,	,	PUNCT
esrj-78880	157	40	aiming	aim	VERB
esrj-78880	157	41	to	to	PART
esrj-78880	157	42	prove	prove	VERB
esrj-78880	157	43	the	the	DET
esrj-78880	157	44	validity	validity	NOUN
esrj-78880	157	45	of	of	ADP
esrj-78880	157	46	the	the	DET
esrj-78880	157	47	proposed	propose	VERB
esrj-78880	157	48	method	method	NOUN
esrj-78880	157	49	.	.	PUNCT
esrj-78880	158	1	figure	figure	NOUN
esrj-78880	158	2	10	10	NUM
esrj-78880	158	3	shows	show	VERB
esrj-78880	158	4	the	the	DET
esrj-78880	158	5	spatial	spatial	ADJ
esrj-78880	158	6	deviations	deviation	NOUN
esrj-78880	158	7	(	(	PUNCT
esrj-78880	158	8	sd	sd	NOUN
esrj-78880	158	9	)	)	PUNCT
esrj-78880	158	10	obtained	obtain	VERB
esrj-78880	158	11	in	in	ADP
esrj-78880	158	12	processing	processing	NOUN
esrj-78880	158	13	for	for	ADP
esrj-78880	158	14	the	the	DET
esrj-78880	158	15	first	first	ADJ
esrj-78880	158	16	test	test	NOUN
esrj-78880	158	17	day	day	NOUN
esrj-78880	158	18	.	.	PUNCT
esrj-78880	159	1	for	for	ADP
esrj-78880	159	2	the	the	DET
esrj-78880	159	3	second	second	ADJ
esrj-78880	159	4	test	test	NOUN
esrj-78880	159	5	(	(	PUNCT
esrj-78880	159	6	01/10/2015	01/10/2015	NUM
esrj-78880	159	7	)	)	PUNCT
esrj-78880	159	8	,	,	PUNCT
esrj-78880	159	9	spatial	spatial	ADJ
esrj-78880	159	10	deviations	deviation	NOUN
esrj-78880	159	11	are	be	AUX
esrj-78880	159	12	shown	show	VERB
esrj-78880	159	13	in	in	ADP
esrj-78880	159	14	figure	figure	NOUN
esrj-78880	159	15	11	11	NUM
esrj-78880	159	16	.	.	PUNCT
esrj-78880	160	1	next	next	ADJ
esrj-78880	160	2	,	,	PUNCT
esrj-78880	160	3	figure	figure	NOUN
esrj-78880	160	4	12	12	NUM
esrj-78880	160	5	shows	show	VERB
esrj-78880	160	6	the	the	DET
esrj-78880	160	7	spatial	spatial	ADJ
esrj-78880	160	8	deviations	deviation	NOUN
esrj-78880	160	9	obtained	obtain	VERB
esrj-78880	160	10	on	on	ADP
esrj-78880	160	11	06/10/2015	06/10/2015	NUM
esrj-78880	160	12	(	(	PUNCT
esrj-78880	160	13	test	test	NOUN
esrj-78880	160	14	3	3	NUM
esrj-78880	160	15	)	)	PUNCT
esrj-78880	160	16	.	.	PUNCT
esrj-78880	161	1	finally	finally	ADV
esrj-78880	161	2	,	,	PUNCT
esrj-78880	161	3	the	the	DET
esrj-78880	161	4	spatial	spatial	ADJ
esrj-78880	161	5	deviations	deviation	NOUN
esrj-78880	161	6	of	of	ADP
esrj-78880	161	7	the	the	DET
esrj-78880	161	8	processing	processing	NOUN
esrj-78880	161	9	performed	perform	VERB
esrj-78880	161	10	on	on	ADP
esrj-78880	161	11	01/20/2016	01/20/2016	PROPN
esrj-78880	161	12	(	(	PUNCT
esrj-78880	161	13	test	test	NOUN
esrj-78880	161	14	4	4	NUM
esrj-78880	161	15	)	)	PUNCT
esrj-78880	161	16	are	be	AUX
esrj-78880	161	17	shown	show	VERB
esrj-78880	161	18	in	in	ADP
esrj-78880	161	19	figure	figure	NOUN
esrj-78880	161	20	13	13	NUM
esrj-78880	161	21	.	.	PUNCT
esrj-78880	162	1	as	as	SCONJ
esrj-78880	162	2	the	the	DET
esrj-78880	162	3	above	above	ADJ
esrj-78880	162	4	figures	figure	NOUN
esrj-78880	162	5	demonstrated	demonstrate	VERB
esrj-78880	162	6	,	,	PUNCT
esrj-78880	162	7	applying	apply	VERB
esrj-78880	162	8	the	the	DET
esrj-78880	162	9	l1	l1	PROPN
esrj-78880	162	10	carrier	carrier	NOUN
esrj-78880	162	11	observations	observation	NOUN
esrj-78880	162	12	together	together	ADV
esrj-78880	162	13	with	with	ADP
esrj-78880	162	14	those	those	PRON
esrj-78880	162	15	of	of	ADP
esrj-78880	162	16	the	the	DET
esrj-78880	162	17	l2	l2	NOUN
esrj-78880	162	18	carrier	carrier	NOUN
esrj-78880	162	19	,	,	PUNCT
esrj-78880	162	20	which	which	PRON
esrj-78880	162	21	were	be	AUX
esrj-78880	162	22	generated	generate	VERB
esrj-78880	162	23	in	in	ADP
esrj-78880	162	24	this	this	DET
esrj-78880	162	25	work	work	NOUN
esrj-78880	162	26	,	,	PUNCT
esrj-78880	162	27	it	it	PRON
esrj-78880	162	28	was	be	AUX
esrj-78880	162	29	possible	possible	ADJ
esrj-78880	162	30	to	to	PART
esrj-78880	162	31	reduce	reduce	VERB
esrj-78880	162	32	the	the	DET
esrj-78880	162	33	positioning	positioning	NOUN
esrj-78880	162	34	errors	error	NOUN
esrj-78880	162	35	in	in	ADP
esrj-78880	162	36	several	several	ADJ
esrj-78880	162	37	baselines	baseline	NOUN
esrj-78880	162	38	(	(	PUNCT
esrj-78880	162	39	on	on	ADP
esrj-78880	162	40	average	average	ADJ
esrj-78880	162	41	,	,	PUNCT
esrj-78880	162	42	a	a	DET
esrj-78880	162	43	40.2	40.2	NUM
esrj-78880	162	44	%	%	NOUN
esrj-78880	162	45	reduction	reduction	NOUN
esrj-78880	162	46	)	)	PUNCT
esrj-78880	162	47	when	when	SCONJ
esrj-78880	162	48	compared	compare	VERB
esrj-78880	162	49	to	to	ADP
esrj-78880	162	50	the	the	DET
esrj-78880	162	51	results	result	NOUN
esrj-78880	162	52	obtained	obtain	VERB
esrj-78880	162	53	with	with	ADP
esrj-78880	162	54	only	only	ADV
esrj-78880	162	55	the	the	DET
esrj-78880	162	56	original	original	ADJ
esrj-78880	162	57	l1	l1	PROPN
esrj-78880	162	58	data	datum	NOUN
esrj-78880	162	59	.	.	PUNCT
esrj-78880	163	1	therefore	therefore	ADV
esrj-78880	163	2	,	,	PUNCT
esrj-78880	163	3	it	it	PRON
esrj-78880	163	4	can	can	AUX
esrj-78880	163	5	be	be	AUX
esrj-78880	163	6	stated	state	VERB
esrj-78880	163	7	that	that	SCONJ
esrj-78880	163	8	the	the	DET
esrj-78880	163	9	process	process	NOUN
esrj-78880	163	10	of	of	ADP
esrj-78880	163	11	gps	gps	PROPN
esrj-78880	163	12	l2	l2	NOUN
esrj-78880	163	13	carrier	carrier	NOUN
esrj-78880	163	14	observables	observable	NOUN
esrj-78880	163	15	estimation	estimation	NOUN
esrj-78880	163	16	using	use	VERB
esrj-78880	163	17	anns	ann	NOUN
esrj-78880	163	18	can	can	AUX
esrj-78880	163	19	improve	improve	VERB
esrj-78880	163	20	relative	relative	ADJ
esrj-78880	163	21	positioning	positioning	NOUN
esrj-78880	163	22	solutions	solution	NOUN
esrj-78880	163	23	with	with	ADP
esrj-78880	163	24	data	datum	NOUN
esrj-78880	163	25	obtained	obtain	VERB
esrj-78880	163	26	in	in	ADP
esrj-78880	163	27	single	single	ADJ
esrj-78880	163	28	-	-	PUNCT
esrj-78880	163	29	frequency	frequency	NOUN
esrj-78880	163	30	receivers	receiver	NOUN
esrj-78880	163	31	.	.	PUNCT
esrj-78880	164	1	1.348	1.348	NUM
esrj-78880	164	2	2.016	2.016	NUM
esrj-78880	164	3	0.936	0.936	NUM
esrj-78880	164	4	1.0831.386	1.0831.386	NUM
esrj-78880	164	5	1.355	1.355	NUM
esrj-78880	164	6	1.030	1.030	NUM
esrj-78880	164	7	0.955	0.955	NUM
esrj-78880	164	8	0.349	0.349	NUM
esrj-78880	164	9	0.543	0.543	NUM
esrj-78880	164	10	0.762	0.762	NUM
esrj-78880	164	11	0.541	0.541	NUM
esrj-78880	164	12	0.00	0.00	NUM
esrj-78880	164	13	0.50	0.50	NUM
esrj-78880	164	14	1.00	1.00	NUM
esrj-78880	164	15	1.50	1.50	NUM
esrj-78880	164	16	2.00	2.00	NUM
esrj-78880	164	17	2.50	2.50	NUM
esrj-78880	164	18	mgin	mgin	ADJ
esrj-78880	164	19	-	-	PUNCT
esrj-78880	164	20	eesc	eesc	NOUN
esrj-78880	164	21	spja	spja	NOUN
esrj-78880	164	22	-	-	PUNCT
esrj-78880	164	23	eesc	eesc	NOUN
esrj-78880	164	24	spli	spli	NOUN
esrj-78880	164	25	-	-	PUNCT
esrj-78880	164	26	eesc	eesc	NOUN
esrj-78880	164	27	sppi	sppi	NOUN
esrj-78880	164	28	-	-	PUNCT
esrj-78880	164	29	eesc	eesc	NOUN
esrj-78880	164	30	sp	sp	ADP
esrj-78880	164	31	at	at	ADP
esrj-78880	164	32	ia	ia	PROPN
esrj-78880	164	33	l	l	PROPN
esrj-78880	164	34	d	d	PROPN
esrj-78880	164	35	ev	ev	X
esrj-78880	164	36	ia	ia	PROPN
esrj-78880	164	37	tio	tio	PROPN
esrj-78880	164	38	n	n	PROPN
esrj-78880	164	39	(	(	PUNCT
esrj-78880	164	40	m	m	PROPN
esrj-78880	164	41	)	)	PUNCT
esrj-78880	164	42	baseline	baseline	PROPN
esrj-78880	164	43	l1	l1	PROPN
esrj-78880	164	44	l1	l1	PROPN
esrj-78880	164	45	/	/	SYM
esrj-78880	164	46	l2modif	l2modif	PROPN
esrj-78880	164	47	mazzetto	mazzetto	NOUN
esrj-78880	164	48	(	(	PUNCT
esrj-78880	164	49	2017	2017	NUM
esrj-78880	164	50	)	)	PUNCT
esrj-78880	164	51	l1	l1	PROPN
esrj-78880	164	52	/	/	SYM
esrj-78880	164	53	l2a	l2a	PROPN
esrj-78880	164	54	figure	figure	NOUN
esrj-78880	164	55	10	10	NUM
esrj-78880	164	56	.	.	PUNCT
esrj-78880	165	1	spatial	spatial	ADJ
esrj-78880	165	2	deviations	deviation	NOUN
esrj-78880	165	3	from	from	ADP
esrj-78880	165	4	relative	relative	ADJ
esrj-78880	165	5	processing	processing	NOUN
esrj-78880	165	6	for	for	ADP
esrj-78880	165	7	09/15/2014	09/15/2014	NOUN
esrj-78880	165	8	(	(	PUNCT
esrj-78880	165	9	test	test	NOUN
esrj-78880	165	10	1	1	NUM
esrj-78880	165	11	)	)	PUNCT
esrj-78880	165	12	1.655	1.655	NUM
esrj-78880	165	13	0.664	0.664	NUM
esrj-78880	165	14	1.782	1.782	NUM
esrj-78880	165	15	0.7820.637	0.7820.637	NUM
esrj-78880	165	16	0.498	0.498	NUM
esrj-78880	165	17	0.463	0.463	NUM
esrj-78880	165	18	0.492	0.492	NUM
esrj-78880	165	19	0.717	0.717	NUM
esrj-78880	165	20	0.609	0.609	NUM
esrj-78880	165	21	0.954	0.954	NUM
esrj-78880	165	22	1.086	1.086	NUM
esrj-78880	165	23	0.00	0.00	NUM
esrj-78880	165	24	0.50	0.50	NUM
esrj-78880	165	25	1.00	1.00	NUM
esrj-78880	165	26	1.50	1.50	NUM
esrj-78880	165	27	2.00	2.00	NUM
esrj-78880	165	28	2.50	2.50	NUM
esrj-78880	165	29	mgin	mgin	ADJ
esrj-78880	165	30	-	-	PUNCT
esrj-78880	165	31	eesc	eesc	NOUN
esrj-78880	165	32	spja	spja	NOUN
esrj-78880	165	33	-	-	PUNCT
esrj-78880	165	34	eesc	eesc	NOUN
esrj-78880	165	35	spli	spli	NOUN
esrj-78880	165	36	-	-	PUNCT
esrj-78880	165	37	eesc	eesc	NOUN
esrj-78880	165	38	sppi	sppi	NOUN
esrj-78880	165	39	-	-	PUNCT
esrj-78880	165	40	eesc	eesc	NOUN
esrj-78880	165	41	sp	sp	ADP
esrj-78880	165	42	at	at	ADP
esrj-78880	165	43	ia	ia	PROPN
esrj-78880	165	44	l	l	PROPN
esrj-78880	165	45	d	d	PROPN
esrj-78880	165	46	ev	ev	X
esrj-78880	165	47	ia	ia	PROPN
esrj-78880	165	48	tio	tio	PROPN
esrj-78880	165	49	n	n	PROPN
esrj-78880	165	50	(	(	PUNCT
esrj-78880	165	51	m	m	PROPN
esrj-78880	165	52	)	)	PUNCT
esrj-78880	165	53	baseline	baseline	PROPN
esrj-78880	165	54	l1	l1	PROPN
esrj-78880	165	55	l1	l1	PROPN
esrj-78880	165	56	/	/	SYM
esrj-78880	165	57	l2modif	l2modif	PROPN
esrj-78880	165	58	mazzetto	mazzetto	NOUN
esrj-78880	165	59	(	(	PUNCT
esrj-78880	165	60	2017	2017	NUM
esrj-78880	165	61	)	)	PUNCT
esrj-78880	165	62	l1	l1	PROPN
esrj-78880	165	63	/	/	SYM
esrj-78880	165	64	l2a	l2a	NOUN
esrj-78880	165	65	figure	figure	NOUN
esrj-78880	165	66	11	11	NUM
esrj-78880	165	67	.	.	PUNCT
esrj-78880	166	1	spatial	spatial	ADJ
esrj-78880	166	2	deviations	deviation	NOUN
esrj-78880	166	3	from	from	ADP
esrj-78880	166	4	relative	relative	ADJ
esrj-78880	166	5	processing	processing	NOUN
esrj-78880	166	6	for	for	ADP
esrj-78880	166	7	01/10/2015	01/10/2015	NUM
esrj-78880	166	8	(	(	PUNCT
esrj-78880	166	9	test	test	NOUN
esrj-78880	166	10	2	2	NUM
esrj-78880	166	11	)	)	PUNCT
esrj-78880	166	12	2.141	2.141	NUM
esrj-78880	166	13	2.182	2.182	NUM
esrj-78880	166	14	1.136	1.136	NUM
esrj-78880	166	15	1.911	1.911	NUM
esrj-78880	166	16	0.969	0.969	NUM
esrj-78880	166	17	1.026	1.026	NUM
esrj-78880	166	18	0.938	0.938	NUM
esrj-78880	166	19	0.699	0.699	NUM
esrj-78880	166	20	1.060	1.060	NUM
esrj-78880	166	21	0.275	0.275	NUM
esrj-78880	166	22	0.497	0.497	NUM
esrj-78880	166	23	0.91	0.91	NUM
esrj-78880	166	24	0.00	0.00	NUM
esrj-78880	166	25	0.50	0.50	NUM
esrj-78880	166	26	1.00	1.00	NUM
esrj-78880	166	27	1.50	1.50	NUM
esrj-78880	166	28	2.00	2.00	NUM
esrj-78880	166	29	2.50	2.50	NUM
esrj-78880	166	30	mgin	mgin	ADJ
esrj-78880	166	31	-	-	PUNCT
esrj-78880	166	32	eesc	eesc	NOUN
esrj-78880	166	33	spja	spja	NOUN
esrj-78880	166	34	-	-	PUNCT
esrj-78880	166	35	eesc	eesc	NOUN
esrj-78880	166	36	spli	spli	NOUN
esrj-78880	166	37	-	-	PUNCT
esrj-78880	166	38	eesc	eesc	NOUN
esrj-78880	166	39	sppi	sppi	NOUN
esrj-78880	166	40	-	-	PUNCT
esrj-78880	166	41	eesc	eesc	NOUN
esrj-78880	166	42	sp	sp	ADP
esrj-78880	166	43	at	at	ADP
esrj-78880	166	44	ia	ia	PROPN
esrj-78880	166	45	l	l	PROPN
esrj-78880	166	46	d	d	PROPN
esrj-78880	166	47	ev	ev	X
esrj-78880	166	48	ia	ia	PROPN
esrj-78880	166	49	tio	tio	PROPN
esrj-78880	166	50	n	n	PROPN
esrj-78880	166	51	(	(	PUNCT
esrj-78880	166	52	m	m	PROPN
esrj-78880	166	53	)	)	PUNCT
esrj-78880	166	54	baseline	baseline	PROPN
esrj-78880	166	55	l1	l1	PROPN
esrj-78880	166	56	l1	l1	PROPN
esrj-78880	166	57	/	/	SYM
esrj-78880	166	58	l2modif	l2modif	PROPN
esrj-78880	166	59	mazzetto	mazzetto	NOUN
esrj-78880	166	60	(	(	PUNCT
esrj-78880	166	61	2017	2017	NUM
esrj-78880	166	62	)	)	PUNCT
esrj-78880	166	63	l1	l1	PROPN
esrj-78880	166	64	/	/	SYM
esrj-78880	166	65	l2a	l2a	PROPN
esrj-78880	166	66	figure	figure	NOUN
esrj-78880	166	67	12	12	NUM
esrj-78880	166	68	.	.	PUNCT
esrj-78880	167	1	spatial	spatial	ADJ
esrj-78880	167	2	deviations	deviation	NOUN
esrj-78880	167	3	from	from	ADP
esrj-78880	167	4	relative	relative	ADJ
esrj-78880	167	5	processing	processing	NOUN
esrj-78880	167	6	for	for	ADP
esrj-78880	167	7	06/10/2015	06/10/2015	NUM
esrj-78880	167	8	(	(	PUNCT
esrj-78880	167	9	test	test	NOUN
esrj-78880	167	10	3	3	NUM
esrj-78880	167	11	)	)	PUNCT
esrj-78880	167	12	2.399	2.399	NUM
esrj-78880	167	13	1.230	1.230	NUM
esrj-78880	167	14	2.226	2.226	NUM
esrj-78880	167	15	1.123	1.123	NUM
esrj-78880	167	16	0.451	0.451	NUM
esrj-78880	167	17	0.506	0.506	NUM
esrj-78880	167	18	0.448	0.448	NUM
esrj-78880	167	19	0.401	0.401	NUM
esrj-78880	167	20	2.427	2.427	NUM
esrj-78880	167	21	0.611	0.611	NUM
esrj-78880	167	22	0.589	0.589	NUM
esrj-78880	167	23	1.523	1.523	NUM
esrj-78880	167	24	0.00	0.00	NUM
esrj-78880	167	25	0.50	0.50	NUM
esrj-78880	167	26	1.00	1.00	NUM
esrj-78880	167	27	1.50	1.50	NUM
esrj-78880	167	28	2.00	2.00	NUM
esrj-78880	167	29	2.50	2.50	NUM
esrj-78880	167	30	mgin	mgin	ADJ
esrj-78880	167	31	-	-	PUNCT
esrj-78880	167	32	eesc	eesc	NOUN
esrj-78880	167	33	spja	spja	NOUN
esrj-78880	167	34	-	-	PUNCT
esrj-78880	167	35	eesc	eesc	NOUN
esrj-78880	167	36	spli	spli	NOUN
esrj-78880	167	37	-	-	PUNCT
esrj-78880	167	38	eesc	eesc	NOUN
esrj-78880	167	39	sppi	sppi	NOUN
esrj-78880	167	40	-	-	PUNCT
esrj-78880	167	41	eesc	eesc	NOUN
esrj-78880	167	42	sp	sp	ADP
esrj-78880	167	43	at	at	ADP
esrj-78880	167	44	ia	ia	PROPN
esrj-78880	167	45	l	l	PROPN
esrj-78880	167	46	d	d	PROPN
esrj-78880	167	47	ev	ev	X
esrj-78880	167	48	ia	ia	PROPN
esrj-78880	167	49	tio	tio	PROPN
esrj-78880	167	50	n	n	PROPN
esrj-78880	167	51	(	(	PUNCT
esrj-78880	167	52	m	m	PROPN
esrj-78880	167	53	)	)	PUNCT
esrj-78880	167	54	baseline	baseline	PROPN
esrj-78880	167	55	l1	l1	PROPN
esrj-78880	167	56	l1	l1	PROPN
esrj-78880	167	57	/	/	SYM
esrj-78880	167	58	l2modif	l2modif	PROPN
esrj-78880	167	59	mazzetto	mazzetto	NOUN
esrj-78880	167	60	(	(	PUNCT
esrj-78880	167	61	2017	2017	NUM
esrj-78880	167	62	)	)	PUNCT
esrj-78880	167	63	l1	l1	PROPN
esrj-78880	167	64	/	/	SYM
esrj-78880	167	65	l2a	l2a	NOUN
esrj-78880	167	66	figure	figure	NOUN
esrj-78880	167	67	13	13	NUM
esrj-78880	167	68	.	.	PUNCT
esrj-78880	168	1	spatial	spatial	ADJ
esrj-78880	168	2	deviations	deviation	NOUN
esrj-78880	168	3	from	from	ADP
esrj-78880	168	4	relative	relative	ADJ
esrj-78880	168	5	processing	processing	NOUN
esrj-78880	168	6	for	for	ADP
esrj-78880	168	7	01/20/2016	01/20/2016	PROPN
esrj-78880	168	8	(	(	PUNCT
esrj-78880	168	9	test	test	NOUN
esrj-78880	168	10	4	4	NUM
esrj-78880	168	11	)	)	PUNCT
esrj-78880	168	12	103	103	NUM
esrj-78880	168	13	estimation	estimation	NOUN
esrj-78880	168	14	of	of	ADP
esrj-78880	168	15	gps	gps	PROPN
esrj-78880	168	16	l2	l2	NOUN
esrj-78880	168	17	signal	signal	NOUN
esrj-78880	168	18	observables	observable	NOUN
esrj-78880	168	19	using	use	VERB
esrj-78880	168	20	multilayer	multilayer	ADJ
esrj-78880	168	21	perceptron	perceptron	PROPN
esrj-78880	168	22	artificial	artificial	ADJ
esrj-78880	168	23	neural	neural	ADJ
esrj-78880	168	24	network	network	NOUN
esrj-78880	168	25	for	for	ADP
esrj-78880	168	26	positional	positional	ADJ
esrj-78880	168	27	accuracy	accuracy	NOUN
esrj-78880	168	28	improvement	improvement	NOUN
esrj-78880	168	29	conclusion	conclusion	NOUN
esrj-78880	168	30	dual	dual	ADJ
esrj-78880	168	31	-	-	PUNCT
esrj-78880	168	32	frequency	frequency	NOUN
esrj-78880	168	33	receivers	receiver	NOUN
esrj-78880	168	34	help	help	VERB
esrj-78880	168	35	to	to	PART
esrj-78880	168	36	improve	improve	VERB
esrj-78880	168	37	the	the	DET
esrj-78880	168	38	positioning	positioning	NOUN
esrj-78880	168	39	accuracy	accuracy	NOUN
esrj-78880	168	40	by	by	ADP
esrj-78880	168	41	enabling	enable	VERB
esrj-78880	168	42	the	the	DET
esrj-78880	168	43	formation	formation	NOUN
esrj-78880	168	44	of	of	ADP
esrj-78880	168	45	linear	linear	ADJ
esrj-78880	168	46	combinations	combination	NOUN
esrj-78880	168	47	between	between	ADP
esrj-78880	168	48	the	the	DET
esrj-78880	168	49	observables	observable	NOUN
esrj-78880	168	50	of	of	ADP
esrj-78880	168	51	different	different	ADJ
esrj-78880	168	52	carriers	carrier	NOUN
esrj-78880	168	53	.	.	PUNCT
esrj-78880	169	1	this	this	PRON
esrj-78880	169	2	allows	allow	VERB
esrj-78880	169	3	us	we	PRON
esrj-78880	169	4	to	to	PART
esrj-78880	169	5	use	use	VERB
esrj-78880	169	6	differencing	difference	VERB
esrj-78880	169	7	techniques	technique	NOUN
esrj-78880	169	8	between	between	ADP
esrj-78880	169	9	the	the	DET
esrj-78880	169	10	phase	phase	NOUN
esrj-78880	169	11	or	or	CCONJ
esrj-78880	169	12	code	code	NOUN
esrj-78880	169	13	measurements	measurement	NOUN
esrj-78880	169	14	in	in	ADP
esrj-78880	169	15	data	datum	NOUN
esrj-78880	169	16	processing	processing	NOUN
esrj-78880	169	17	to	to	PART
esrj-78880	169	18	reduce	reduce	VERB
esrj-78880	169	19	the	the	DET
esrj-78880	169	20	ionospheric	ionospheric	ADJ
esrj-78880	169	21	effect	effect	NOUN
esrj-78880	169	22	and	and	CCONJ
esrj-78880	169	23	to	to	PART
esrj-78880	169	24	also	also	ADV
esrj-78880	169	25	eliminate	eliminate	VERB
esrj-78880	169	26	the	the	DET
esrj-78880	169	27	errors	error	NOUN
esrj-78880	169	28	of	of	ADP
esrj-78880	169	29	receiver	receiver	NOUN
esrj-78880	169	30	and	and	CCONJ
esrj-78880	169	31	satellite	satellite	NOUN
esrj-78880	169	32	clocks	clock	NOUN
esrj-78880	169	33	.	.	PUNCT
esrj-78880	170	1	those	those	DET
esrj-78880	170	2	so	so	ADV
esrj-78880	170	3	-	-	PUNCT
esrj-78880	170	4	called	call	VERB
esrj-78880	170	5	geodetic	geodetic	ADJ
esrj-78880	170	6	receivers	receiver	NOUN
esrj-78880	170	7	are	be	AUX
esrj-78880	170	8	associated	associate	VERB
esrj-78880	170	9	with	with	ADP
esrj-78880	170	10	high	high	ADJ
esrj-78880	170	11	costs	cost	NOUN
esrj-78880	170	12	and	and	CCONJ
esrj-78880	170	13	,	,	PUNCT
esrj-78880	170	14	therefore	therefore	ADV
esrj-78880	170	15	,	,	PUNCT
esrj-78880	170	16	are	be	AUX
esrj-78880	170	17	waived	waive	VERB
esrj-78880	170	18	by	by	ADP
esrj-78880	170	19	the	the	DET
esrj-78880	170	20	service	service	NOUN
esrj-78880	170	21	provider	provider	NOUN
esrj-78880	170	22	in	in	ADP
esrj-78880	170	23	many	many	ADJ
esrj-78880	170	24	cases	case	NOUN
esrj-78880	170	25	,	,	PUNCT
esrj-78880	170	26	especially	especially	ADV
esrj-78880	170	27	in	in	ADP
esrj-78880	170	28	large	large	ADJ
esrj-78880	170	29	-	-	PUNCT
esrj-78880	170	30	scale	scale	NOUN
esrj-78880	170	31	networks	network	NOUN
esrj-78880	170	32	where	where	SCONJ
esrj-78880	170	33	a	a	DET
esrj-78880	170	34	high	high	ADJ
esrj-78880	170	35	number	number	NOUN
esrj-78880	170	36	of	of	ADP
esrj-78880	170	37	these	these	DET
esrj-78880	170	38	types	type	NOUN
esrj-78880	170	39	of	of	ADP
esrj-78880	170	40	instruments	instrument	NOUN
esrj-78880	170	41	are	be	AUX
esrj-78880	170	42	needed	need	VERB
esrj-78880	170	43	.	.	PUNCT
esrj-78880	171	1	in	in	ADP
esrj-78880	171	2	recent	recent	ADJ
esrj-78880	171	3	years	year	NOUN
esrj-78880	171	4	,	,	PUNCT
esrj-78880	171	5	some	some	DET
esrj-78880	171	6	studies	study	NOUN
esrj-78880	171	7	have	have	AUX
esrj-78880	171	8	been	be	AUX
esrj-78880	171	9	carried	carry	VERB
esrj-78880	171	10	out	out	ADP
esrj-78880	171	11	to	to	PART
esrj-78880	171	12	check	check	VERB
esrj-78880	171	13	the	the	DET
esrj-78880	171	14	achievable	achievable	ADJ
esrj-78880	171	15	accuracy	accuracy	NOUN
esrj-78880	171	16	using	use	VERB
esrj-78880	171	17	the	the	DET
esrj-78880	171	18	generated	generate	VERB
esrj-78880	171	19	l2	l2	NOUN
esrj-78880	171	20	carrier	carrier	NOUN
esrj-78880	171	21	observations	observation	NOUN
esrj-78880	171	22	based	base	VERB
esrj-78880	171	23	on	on	ADP
esrj-78880	171	24	data	datum	NOUN
esrj-78880	171	25	gathered	gather	VERB
esrj-78880	171	26	by	by	ADP
esrj-78880	171	27	a	a	DET
esrj-78880	171	28	single	single	ADJ
esrj-78880	171	29	-	-	PUNCT
esrj-78880	171	30	frequency	frequency	NOUN
esrj-78880	171	31	receiver	receiver	NOUN
esrj-78880	171	32	.	.	PUNCT
esrj-78880	172	1	this	this	DET
esrj-78880	172	2	study	study	NOUN
esrj-78880	172	3	aims	aim	VERB
esrj-78880	172	4	to	to	PART
esrj-78880	172	5	determine	determine	VERB
esrj-78880	172	6	the	the	DET
esrj-78880	172	7	quality	quality	NOUN
esrj-78880	172	8	of	of	ADP
esrj-78880	172	9	the	the	DET
esrj-78880	172	10	gps	gps	PROPN
esrj-78880	172	11	l2	l2	NOUN
esrj-78880	172	12	carrier	carrier	NOUN
esrj-78880	172	13	observables	observable	NOUN
esrj-78880	172	14	estimated	estimate	VERB
esrj-78880	172	15	by	by	ADP
esrj-78880	172	16	applying	apply	VERB
esrj-78880	172	17	anns	ann	NOUN
esrj-78880	172	18	to	to	PART
esrj-78880	172	19	answer	answer	VERB
esrj-78880	172	20	the	the	DET
esrj-78880	172	21	question	question	NOUN
esrj-78880	172	22	of	of	ADP
esrj-78880	172	23	whether	whether	SCONJ
esrj-78880	172	24	a	a	DET
esrj-78880	172	25	dual	dual	ADJ
esrj-78880	172	26	-	-	PUNCT
esrj-78880	172	27	frequency	frequency	NOUN
esrj-78880	172	28	receiver	receiver	NOUN
esrj-78880	172	29	can	can	AUX
esrj-78880	172	30	be	be	AUX
esrj-78880	172	31	replaced	replace	VERB
esrj-78880	172	32	by	by	ADP
esrj-78880	172	33	a	a	DET
esrj-78880	172	34	cost	cost	NOUN
esrj-78880	172	35	-	-	PUNCT
esrj-78880	172	36	efficient	efficient	ADJ
esrj-78880	172	37	single	single	ADJ
esrj-78880	172	38	-	-	PUNCT
esrj-78880	172	39	frequency	frequency	NOUN
esrj-78880	172	40	receiver	receiver	NOUN
esrj-78880	172	41	approaching	approach	VERB
esrj-78880	172	42	its	its	PRON
esrj-78880	172	43	achievable	achievable	ADJ
esrj-78880	172	44	accuracy	accuracy	NOUN
esrj-78880	172	45	.	.	PUNCT
esrj-78880	173	1	for	for	ADP
esrj-78880	173	2	this	this	DET
esrj-78880	173	3	purpose	purpose	NOUN
esrj-78880	173	4	,	,	PUNCT
esrj-78880	173	5	according	accord	VERB
esrj-78880	173	6	to	to	ADP
esrj-78880	173	7	the	the	DET
esrj-78880	173	8	literature	literature	PROPN
esrj-78880	173	9	review	review	PROPN
esrj-78880	173	10	,	,	PUNCT
esrj-78880	173	11	for	for	ADP
esrj-78880	173	12	the	the	DET
esrj-78880	173	13	first	first	ADJ
esrj-78880	173	14	time	time	NOUN
esrj-78880	173	15	,	,	PUNCT
esrj-78880	173	16	two	two	NUM
esrj-78880	173	17	ann	ann	PROPN
esrj-78880	173	18	topologies	topology	NOUN
esrj-78880	173	19	were	be	AUX
esrj-78880	173	20	validated	validate	VERB
esrj-78880	173	21	and	and	CCONJ
esrj-78880	173	22	selected	select	VERB
esrj-78880	173	23	through	through	ADP
esrj-78880	173	24	the	the	DET
esrj-78880	173	25	cv	cv	PROPN
esrj-78880	173	26	technique	technique	NOUN
esrj-78880	173	27	to	to	PART
esrj-78880	173	28	estimate	estimate	VERB
esrj-78880	173	29	the	the	DET
esrj-78880	173	30	gps	gps	PROPN
esrj-78880	173	31	l2	l2	NOUN
esrj-78880	173	32	data	datum	NOUN
esrj-78880	173	33	,	,	PUNCT
esrj-78880	173	34	among	among	ADP
esrj-78880	173	35	a	a	DET
esrj-78880	173	36	wide	wide	ADJ
esrj-78880	173	37	universe	universe	NOUN
esrj-78880	173	38	of	of	ADP
esrj-78880	173	39	possible	possible	ADJ
esrj-78880	173	40	configurations	configuration	NOUN
esrj-78880	173	41	.	.	PUNCT
esrj-78880	174	1	concisely	concisely	ADV
esrj-78880	174	2	,	,	PUNCT
esrj-78880	174	3	the	the	DET
esrj-78880	174	4	mlps	mlp	NOUN
esrj-78880	174	5	selected	select	VERB
esrj-78880	174	6	in	in	ADP
esrj-78880	174	7	this	this	DET
esrj-78880	174	8	research	research	NOUN
esrj-78880	174	9	contain	contain	VERB
esrj-78880	174	10	up	up	ADV
esrj-78880	174	11	to	to	PART
esrj-78880	174	12	4	4	NUM
esrj-78880	174	13	hidden	hidden	ADJ
esrj-78880	174	14	layers	layer	NOUN
esrj-78880	174	15	and	and	CCONJ
esrj-78880	174	16	38	38	NUM
esrj-78880	174	17	processing	processing	NOUN
esrj-78880	174	18	units	unit	NOUN
esrj-78880	174	19	.	.	PUNCT
esrj-78880	175	1	despite	despite	SCONJ
esrj-78880	175	2	this	this	PRON
esrj-78880	175	3	,	,	PUNCT
esrj-78880	175	4	the	the	DET
esrj-78880	175	5	training	training	NOUN
esrj-78880	175	6	and	and	CCONJ
esrj-78880	175	7	validation	validation	NOUN
esrj-78880	175	8	process	process	NOUN
esrj-78880	175	9	of	of	ADP
esrj-78880	175	10	the	the	DET
esrj-78880	175	11	models	model	NOUN
esrj-78880	175	12	was	be	AUX
esrj-78880	175	13	extremely	extremely	ADV
esrj-78880	175	14	fast	fast	ADJ
esrj-78880	175	15	,	,	PUNCT
esrj-78880	175	16	only	only	ADV
esrj-78880	175	17	a	a	DET
esrj-78880	175	18	few	few	ADJ
esrj-78880	175	19	seconds	second	NOUN
esrj-78880	175	20	,	,	PUNCT
esrj-78880	175	21	and	and	CCONJ
esrj-78880	175	22	represented	represent	VERB
esrj-78880	175	23	less	less	ADJ
esrj-78880	175	24	than	than	ADP
esrj-78880	175	25	10	10	NUM
esrj-78880	175	26	%	%	NOUN
esrj-78880	175	27	of	of	ADP
esrj-78880	175	28	the	the	DET
esrj-78880	175	29	time	time	NOUN
esrj-78880	175	30	spent	spend	VERB
esrj-78880	175	31	in	in	ADP
esrj-78880	175	32	other	other	ADJ
esrj-78880	175	33	research	research	NOUN
esrj-78880	175	34	.	.	PUNCT
esrj-78880	176	1	regarding	regard	VERB
esrj-78880	176	2	the	the	DET
esrj-78880	176	3	validation	validation	NOUN
esrj-78880	176	4	mse	mse	NOUN
esrj-78880	176	5	values	value	NOUN
esrj-78880	176	6	,	,	PUNCT
esrj-78880	176	7	all	all	DET
esrj-78880	176	8	numbers	number	NOUN
esrj-78880	176	9	were	be	AUX
esrj-78880	176	10	very	very	ADV
esrj-78880	176	11	close	close	ADJ
esrj-78880	176	12	to	to	ADP
esrj-78880	176	13	zero	zero	NUM
esrj-78880	176	14	.	.	PUNCT
esrj-78880	177	1	it	it	PRON
esrj-78880	177	2	was	be	AUX
esrj-78880	177	3	verified	verify	VERB
esrj-78880	177	4	that	that	SCONJ
esrj-78880	177	5	by	by	ADP
esrj-78880	177	6	applying	apply	VERB
esrj-78880	177	7	the	the	DET
esrj-78880	177	8	observations	observation	NOUN
esrj-78880	177	9	estimated	estimate	VERB
esrj-78880	177	10	by	by	ADP
esrj-78880	177	11	the	the	DET
esrj-78880	177	12	anns	ann	NOUN
esrj-78880	177	13	,	,	PUNCT
esrj-78880	177	14	together	together	ADV
esrj-78880	177	15	with	with	ADP
esrj-78880	177	16	the	the	DET
esrj-78880	177	17	first	first	ADJ
esrj-78880	177	18	carrier	carrier	NOUN
esrj-78880	177	19	originals	original	NOUN
esrj-78880	177	20	,	,	PUNCT
esrj-78880	177	21	it	it	PRON
esrj-78880	177	22	was	be	AUX
esrj-78880	177	23	possible	possible	ADJ
esrj-78880	177	24	to	to	PART
esrj-78880	177	25	achieve	achieve	VERB
esrj-78880	177	26	significant	significant	ADJ
esrj-78880	177	27	reductions	reduction	NOUN
esrj-78880	177	28	of	of	ADP
esrj-78880	177	29	the	the	DET
esrj-78880	177	30	spatial	spatial	ADJ
esrj-78880	177	31	deviations	deviation	NOUN
esrj-78880	177	32	in	in	ADP
esrj-78880	177	33	several	several	ADJ
esrj-78880	177	34	baselines	baseline	NOUN
esrj-78880	177	35	when	when	SCONJ
esrj-78880	177	36	compared	compare	VERB
esrj-78880	177	37	to	to	ADP
esrj-78880	177	38	those	those	PRON
esrj-78880	177	39	obtained	obtain	VERB
esrj-78880	177	40	with	with	ADP
esrj-78880	177	41	only	only	ADV
esrj-78880	177	42	the	the	DET
esrj-78880	177	43	l1	l1	PROPN
esrj-78880	177	44	observable	observable	ADJ
esrj-78880	177	45	.	.	PUNCT
esrj-78880	178	1	in	in	ADP
esrj-78880	178	2	addition	addition	NOUN
esrj-78880	178	3	,	,	PUNCT
esrj-78880	178	4	some	some	DET
esrj-78880	178	5	vectors	vector	NOUN
esrj-78880	178	6	presented	present	VERB
esrj-78880	178	7	smaller	small	ADJ
esrj-78880	178	8	errors	error	NOUN
esrj-78880	178	9	than	than	ADP
esrj-78880	178	10	those	those	PRON
esrj-78880	178	11	presented	present	VERB
esrj-78880	178	12	in	in	ADP
esrj-78880	178	13	mazzetto	mazzetto	NOUN
esrj-78880	178	14	(	(	PUNCT
esrj-78880	178	15	2017	2017	NUM
esrj-78880	178	16	)	)	PUNCT
esrj-78880	178	17	,	,	PUNCT
esrj-78880	178	18	and	and	CCONJ
esrj-78880	178	19	others	other	NOUN
esrj-78880	178	20	have	have	AUX
esrj-78880	178	21	complied	comply	VERB
esrj-78880	178	22	with	with	ADP
esrj-78880	178	23	the	the	DET
esrj-78880	178	24	incra	incra	PROPN
esrj-78880	178	25	rural	rural	ADJ
esrj-78880	178	26	georeferencing	georeferencing	NOUN
esrj-78880	178	27	standards	standard	NOUN
esrj-78880	178	28	,	,	PUNCT
esrj-78880	178	29	which	which	PRON
esrj-78880	178	30	determine	determine	VERB
esrj-78880	178	31	a	a	DET
esrj-78880	178	32	plane	plane	NOUN
esrj-78880	178	33	deviation	deviation	NOUN
esrj-78880	178	34	of	of	ADP
esrj-78880	178	35	less	less	ADJ
esrj-78880	178	36	than	than	ADP
esrj-78880	178	37	50	50	NUM
esrj-78880	178	38	cm	cm	NOUN
esrj-78880	178	39	.	.	PUNCT
esrj-78880	179	1	however	however	ADV
esrj-78880	179	2	,	,	PUNCT
esrj-78880	179	3	it	it	PRON
esrj-78880	179	4	should	should	AUX
esrj-78880	179	5	be	be	AUX
esrj-78880	179	6	noted	note	VERB
esrj-78880	179	7	that	that	SCONJ
esrj-78880	179	8	it	it	PRON
esrj-78880	179	9	was	be	AUX
esrj-78880	179	10	not	not	PART
esrj-78880	179	11	possible	possible	ADJ
esrj-78880	179	12	to	to	PART
esrj-78880	179	13	apply	apply	VERB
esrj-78880	179	14	the	the	DET
esrj-78880	179	15	l3	l3	NOUN
esrj-78880	179	16	(	(	PUNCT
esrj-78880	179	17	iono	iono	NOUN
esrj-78880	179	18	-	-	PUNCT
esrj-78880	179	19	free	free	ADJ
esrj-78880	179	20	)	)	PUNCT
esrj-78880	179	21	combination	combination	NOUN
esrj-78880	179	22	in	in	ADP
esrj-78880	179	23	the	the	DET
esrj-78880	179	24	relative	relative	ADJ
esrj-78880	179	25	processing	processing	NOUN
esrj-78880	179	26	of	of	ADP
esrj-78880	179	27	the	the	DET
esrj-78880	179	28	dual	dual	ADJ
esrj-78880	179	29	-	-	PUNCT
esrj-78880	179	30	frequency	frequency	NOUN
esrj-78880	179	31	rinex	rinex	NOUN
esrj-78880	179	32	files	file	NOUN
esrj-78880	179	33	,	,	PUNCT
esrj-78880	179	34	similar	similar	ADJ
esrj-78880	179	35	to	to	ADP
esrj-78880	179	36	what	what	PRON
esrj-78880	179	37	has	have	AUX
esrj-78880	179	38	been	be	AUX
esrj-78880	179	39	evidenced	evidence	VERB
esrj-78880	179	40	in	in	ADP
esrj-78880	179	41	previous	previous	ADJ
esrj-78880	179	42	research	research	NOUN
esrj-78880	179	43	.	.	PUNCT
esrj-78880	180	1	for	for	ADP
esrj-78880	180	2	future	future	ADJ
esrj-78880	180	3	research	research	NOUN
esrj-78880	180	4	,	,	PUNCT
esrj-78880	180	5	the	the	DET
esrj-78880	180	6	use	use	NOUN
esrj-78880	180	7	of	of	ADP
esrj-78880	180	8	genetic	genetic	ADJ
esrj-78880	180	9	algorithms	algorithm	NOUN
esrj-78880	180	10	in	in	ADP
esrj-78880	180	11	the	the	DET
esrj-78880	180	12	search	search	NOUN
esrj-78880	180	13	for	for	ADP
esrj-78880	180	14	an	an	DET
esrj-78880	180	15	even	even	ADV
esrj-78880	180	16	better	well	ADJ
esrj-78880	180	17	ann	ann	PROPN
esrj-78880	180	18	configuration	configuration	NOUN
esrj-78880	180	19	for	for	ADP
esrj-78880	180	20	this	this	DET
esrj-78880	180	21	problem	problem	NOUN
esrj-78880	180	22	is	be	AUX
esrj-78880	180	23	indicated	indicate	VERB
esrj-78880	180	24	,	,	PUNCT
esrj-78880	180	25	as	as	SCONJ
esrj-78880	180	26	they	they	PRON
esrj-78880	180	27	can	can	AUX
esrj-78880	180	28	analyze	analyze	VERB
esrj-78880	180	29	a	a	DET
esrj-78880	180	30	vast	vast	ADJ
esrj-78880	180	31	number	number	NOUN
esrj-78880	180	32	of	of	ADP
esrj-78880	180	33	candidates	candidate	NOUN
esrj-78880	180	34	in	in	ADP
esrj-78880	180	35	a	a	DET
esrj-78880	180	36	much	much	ADV
esrj-78880	180	37	shorter	short	ADJ
esrj-78880	180	38	period	period	NOUN
esrj-78880	180	39	of	of	ADP
esrj-78880	180	40	time	time	NOUN
esrj-78880	180	41	than	than	SCONJ
esrj-78880	180	42	a	a	DET
esrj-78880	180	43	human	human	NOUN
esrj-78880	180	44	would	would	AUX
esrj-78880	180	45	need	need	VERB
esrj-78880	180	46	.	.	PUNCT
esrj-78880	181	1	additionally	additionally	ADV
esrj-78880	181	2	,	,	PUNCT
esrj-78880	181	3	as	as	ADP
esrj-78880	181	4	future	future	ADJ
esrj-78880	181	5	research	research	NOUN
esrj-78880	181	6	,	,	PUNCT
esrj-78880	181	7	it	it	PRON
esrj-78880	181	8	is	be	AUX
esrj-78880	181	9	proposed	propose	VERB
esrj-78880	181	10	that	that	SCONJ
esrj-78880	181	11	an	an	DET
esrj-78880	181	12	analysis	analysis	NOUN
esrj-78880	181	13	be	be	AUX
esrj-78880	181	14	performed	perform	VERB
esrj-78880	181	15	to	to	PART
esrj-78880	181	16	identify	identify	VERB
esrj-78880	181	17	which	which	DET
esrj-78880	181	18	factors	factor	NOUN
esrj-78880	181	19	influence	influence	VERB
esrj-78880	181	20	the	the	DET
esrj-78880	181	21	final	final	ADJ
esrj-78880	181	22	results	result	NOUN
esrj-78880	181	23	of	of	ADP
esrj-78880	181	24	the	the	DET
esrj-78880	181	25	gps	gps	PROPN
esrj-78880	181	26	data	datum	NOUN
esrj-78880	181	27	processing	processing	NOUN
esrj-78880	181	28	because	because	SCONJ
esrj-78880	181	29	,	,	PUNCT
esrj-78880	181	30	in	in	ADP
esrj-78880	181	31	some	some	DET
esrj-78880	181	32	tests	test	NOUN
esrj-78880	181	33	,	,	PUNCT
esrj-78880	181	34	the	the	DET
esrj-78880	181	35	ann	ann	PROPN
esrj-78880	181	36	could	could	AUX
esrj-78880	181	37	not	not	PART
esrj-78880	181	38	successfully	successfully	ADV
esrj-78880	181	39	estimate	estimate	VERB
esrj-78880	181	40	the	the	DET
esrj-78880	181	41	observations	observation	NOUN
esrj-78880	181	42	of	of	ADP
esrj-78880	181	43	the	the	DET
esrj-78880	181	44	l2	l2	NOUN
esrj-78880	181	45	,	,	PUNCT
esrj-78880	181	46	resulting	result	VERB
esrj-78880	181	47	in	in	ADP
esrj-78880	181	48	positioning	positioning	NOUN
esrj-78880	181	49	accuracy	accuracy	NOUN
esrj-78880	181	50	degradation	degradation	NOUN
esrj-78880	181	51	when	when	SCONJ
esrj-78880	181	52	using	use	VERB
esrj-78880	181	53	the	the	DET
esrj-78880	181	54	artificial	artificial	ADJ
esrj-78880	181	55	observables	observable	NOUN
esrj-78880	181	56	.	.	PUNCT
esrj-78880	182	1	acknowledgments	acknowledgment	NOUN
esrj-78880	182	2	this	this	DET
esrj-78880	182	3	study	study	NOUN
esrj-78880	182	4	was	be	AUX
esrj-78880	182	5	financed	finance	VERB
esrj-78880	182	6	in	in	ADP
esrj-78880	182	7	part	part	NOUN
esrj-78880	182	8	by	by	ADP
esrj-78880	182	9	the	the	DET
esrj-78880	182	10	coordenação	coordenação	PROPN
esrj-78880	182	11	de	de	PROPN
esrj-78880	182	12	aperfeiçoamento	aperfeiçoamento	PROPN
esrj-78880	182	13	de	de	X
esrj-78880	182	14	pessoal	pessoal	PROPN
esrj-78880	182	15	de	de	PROPN
esrj-78880	182	16	nível	nível	PROPN
esrj-78880	182	17	superior	superior	PROPN
esrj-78880	182	18	brasil	brasil	PROPN
esrj-78880	182	19	(	(	PUNCT
esrj-78880	182	20	capes	cape	NOUN
esrj-78880	182	21	)	)	PUNCT
esrj-78880	182	22	finance	finance	NOUN
esrj-78880	182	23	code	code	NOUN
esrj-78880	182	24	001	001	NUM
esrj-78880	182	25	(	(	PUNCT
esrj-78880	182	26	no	no	NOUN
esrj-78880	182	27	.	.	NOUN
esrj-78880	182	28	1680400	1680400	NUM
esrj-78880	182	29	)	)	PUNCT
esrj-78880	182	30	.	.	PUNCT
esrj-78880	183	1	references	reference	NOUN
esrj-78880	183	2	bengio	bengio	PROPN
esrj-78880	183	3	,	,	PUNCT
esrj-78880	183	4	y.	y.	PROPN
esrj-78880	183	5	,	,	PUNCT
esrj-78880	183	6	&	&	CCONJ
esrj-78880	183	7	lecun	lecun	PROPN
esrj-78880	183	8	,	,	PUNCT
esrj-78880	183	9	y.	y.	PROPN
esrj-78880	183	10	(	(	PUNCT
esrj-78880	183	11	2007	2007	NUM
esrj-78880	183	12	)	)	PUNCT
esrj-78880	183	13	.	.	PUNCT
esrj-78880	184	1	scaling	scale	VERB
esrj-78880	184	2	learning	learn	VERB
esrj-78880	184	3	algorithms	algorithm	NOUN
esrj-78880	184	4	towards	towards	ADP
esrj-78880	184	5	ai	ai	VERB
esrj-78880	184	6	.	.	PUNCT
esrj-78880	185	1	large	large	ADJ
esrj-78880	185	2	scale	scale	NOUN
esrj-78880	185	3	kernel	kernel	PROPN
esrj-78880	185	4	machines	machine	NOUN
esrj-78880	185	5	,	,	PUNCT
esrj-78880	185	6	(	(	PUNCT
esrj-78880	185	7	1	1	NUM
esrj-78880	185	8	)	)	PUNCT
esrj-78880	185	9	,	,	PUNCT
esrj-78880	185	10	321–360	321–360	NUM
esrj-78880	185	11	.	.	PUNCT
esrj-78880	186	1	chen	chen	PROPN
esrj-78880	186	2	,	,	PUNCT
esrj-78880	186	3	x.	x.	PROPN
esrj-78880	186	4	,	,	PUNCT
esrj-78880	186	5	shen	shen	PROPN
esrj-78880	186	6	,	,	PUNCT
esrj-78880	186	7	c.	c.	PROPN
esrj-78880	186	8	,	,	PUNCT
esrj-78880	186	9	zhang	zhang	PROPN
esrj-78880	186	10	,	,	PUNCT
esrj-78880	186	11	w.	w.	PROPN
esrj-78880	186	12	bin	bin	PROPN
esrj-78880	186	13	,	,	PUNCT
esrj-78880	186	14	tomizuka	tomizuka	PROPN
esrj-78880	186	15	,	,	PUNCT
esrj-78880	186	16	m.	m.	NOUN
esrj-78880	186	17	,	,	PUNCT
esrj-78880	186	18	xu	xu	PROPN
esrj-78880	186	19	,	,	PUNCT
esrj-78880	186	20	y.	y.	PROPN
esrj-78880	186	21	,	,	PUNCT
esrj-78880	186	22	&	&	CCONJ
esrj-78880	186	23	chiu	chiu	PROPN
esrj-78880	186	24	,	,	PUNCT
esrj-78880	186	25	k.	k.	PROPN
esrj-78880	186	26	(	(	PUNCT
esrj-78880	186	27	2013	2013	NUM
esrj-78880	186	28	)	)	PUNCT
esrj-78880	186	29	.	.	PUNCT
esrj-78880	187	1	novel	novel	ADJ
esrj-78880	187	2	hybrid	hybrid	NOUN
esrj-78880	187	3	of	of	ADP
esrj-78880	187	4	strong	strong	ADJ
esrj-78880	187	5	tracking	tracking	NOUN
esrj-78880	187	6	kalman	kalman	NOUN
esrj-78880	187	7	filter	filter	NOUN
esrj-78880	187	8	and	and	CCONJ
esrj-78880	187	9	wavelet	wavelet	NOUN
esrj-78880	187	10	neural	neural	ADJ
esrj-78880	187	11	network	network	NOUN
esrj-78880	187	12	for	for	ADP
esrj-78880	187	13	gps	gps	PROPN
esrj-78880	187	14	/	/	SYM
esrj-78880	187	15	ins	in	NOUN
esrj-78880	187	16	during	during	ADP
esrj-78880	187	17	gps	gps	PROPN
esrj-78880	187	18	outages	outage	NOUN
esrj-78880	187	19	.	.	PUNCT
esrj-78880	188	1	measurement	measurement	NOUN
esrj-78880	188	2	,	,	PUNCT
esrj-78880	188	3	46(10	46(10	NUM
esrj-78880	188	4	)	)	PUNCT
esrj-78880	188	5	,	,	PUNCT
esrj-78880	188	6	3847–3854	3847–3854	NUM
esrj-78880	188	7	.	.	PUNCT
esrj-78880	189	1	https://doi.org/10.1016/j.measurement.2013.07.016	https://doi.org/10.1016/j.measurement.2013.07.016	PROPN
esrj-78880	189	2	géron	géron	NOUN
esrj-78880	189	3	,	,	PUNCT
esrj-78880	189	4	a.	a.	NOUN
esrj-78880	189	5	(	(	PUNCT
esrj-78880	189	6	2017	2017	NUM
esrj-78880	189	7	)	)	PUNCT
esrj-78880	189	8	.	.	PUNCT
esrj-78880	190	1	hands	hand	NOUN
esrj-78880	190	2	-	-	PUNCT
esrj-78880	190	3	on	on	ADP
esrj-78880	190	4	machine	machine	NOUN
esrj-78880	190	5	learning	learn	VERB
esrj-78880	190	6	with	with	ADP
esrj-78880	190	7	scikit	scikit	NOUN
esrj-78880	190	8	-	-	PUNCT
esrj-78880	190	9	learn	learn	VERB
esrj-78880	190	10	and	and	CCONJ
esrj-78880	190	11	tensorflow	tensorflow	NOUN
esrj-78880	190	12	(	(	PUNCT
esrj-78880	190	13	1st	1st	ADJ
esrj-78880	190	14	ed	ed	NOUN
esrj-78880	190	15	.	.	PUNCT
esrj-78880	190	16	)	)	PUNCT
esrj-78880	190	17	.	.	PUNCT
esrj-78880	191	1	sebastopol	sebastopol	NOUN
esrj-78880	191	2	:	:	PUNCT
esrj-78880	191	3	o’reilly	o’reilly	ADV
esrj-78880	191	4	media	medium	NOUN
esrj-78880	191	5	.	.	PUNCT
esrj-78880	192	1	https://doi	https://doi	X
esrj-78880	192	2	.	.	PUNCT
esrj-78880	192	3	org/10.3389	org/10.3389	PROPN
esrj-78880	192	4	/	/	SYM
esrj-78880	192	5	fninf.2014.00014	fninf.2014.00014	PROPN
esrj-78880	192	6	goodfellow	goodfellow	PROPN
esrj-78880	192	7	,	,	PUNCT
esrj-78880	192	8	i.	i.	PROPN
esrj-78880	192	9	,	,	PUNCT
esrj-78880	192	10	bengio	bengio	PROPN
esrj-78880	192	11	,	,	PUNCT
esrj-78880	192	12	y.	y.	NOUN
esrj-78880	192	13	,	,	PUNCT
esrj-78880	192	14	and	and	CCONJ
esrj-78880	192	15	courville	courville	NOUN
esrj-78880	192	16	,	,	PUNCT
esrj-78880	192	17	a.	a.	NOUN
esrj-78880	192	18	(	(	PUNCT
esrj-78880	192	19	2016	2016	NUM
esrj-78880	192	20	)	)	PUNCT
esrj-78880	192	21	.	.	PUNCT
esrj-78880	193	1	deep	deep	ADJ
esrj-78880	193	2	learning	learning	NOUN
esrj-78880	193	3	(	(	PUNCT
esrj-78880	193	4	adaptive	adaptive	ADJ
esrj-78880	193	5	computation	computation	NOUN
esrj-78880	193	6	and	and	CCONJ
esrj-78880	193	7	machine	machine	NOUN
esrj-78880	193	8	learning	learning	NOUN
esrj-78880	193	9	series	series	NOUN
esrj-78880	193	10	)	)	PUNCT
esrj-78880	193	11	.	.	PUNCT
esrj-78880	194	1	adaptive	adaptive	ADJ
esrj-78880	194	2	computation	computation	NOUN
esrj-78880	194	3	and	and	CCONJ
esrj-78880	194	4	machine	machine	NOUN
esrj-78880	194	5	learning	learning	NOUN
esrj-78880	194	6	series	series	PROPN
esrj-78880	194	7	.	.	PUNCT
esrj-78880	195	1	cambridge	cambridge	PROPN
esrj-78880	195	2	:	:	PUNCT
esrj-78880	195	3	mit	mit	PROPN
esrj-78880	195	4	press	press	NOUN
esrj-78880	195	5	.	.	PUNCT
esrj-78880	196	1	haykin	haykin	PROPN
esrj-78880	196	2	,	,	PUNCT
esrj-78880	196	3	s.	s.	PROPN
esrj-78880	196	4	(	(	PUNCT
esrj-78880	196	5	2008	2008	NUM
esrj-78880	196	6	)	)	PUNCT
esrj-78880	196	7	.	.	PUNCT
esrj-78880	197	1	neural	neural	ADJ
esrj-78880	197	2	networks	network	NOUN
esrj-78880	197	3	and	and	CCONJ
esrj-78880	197	4	learning	learn	VERB
esrj-78880	197	5	machines	machine	NOUN
esrj-78880	197	6	(	(	PUNCT
esrj-78880	197	7	3rd	3rd	ADJ
esrj-78880	197	8	ed	ed	NOUN
esrj-78880	197	9	.	.	PUNCT
esrj-78880	197	10	)	)	PUNCT
esrj-78880	197	11	.	.	PUNCT
esrj-78880	198	1	upper	upper	ADJ
esrj-78880	198	2	saddle	saddle	PROPN
esrj-78880	198	3	river	river	NOUN
esrj-78880	198	4	:	:	PUNCT
esrj-78880	198	5	pearson	pearson	PROPN
esrj-78880	198	6	prentice	prentice	PROPN
esrj-78880	198	7	hall	hall	PROPN
esrj-78880	198	8	.	.	PUNCT
esrj-78880	199	1	hopfield	hopfield	PROPN
esrj-78880	199	2	,	,	PUNCT
esrj-78880	199	3	j.	j.	PROPN
esrj-78880	199	4	j.	j.	PROPN
esrj-78880	199	5	(	(	PUNCT
esrj-78880	199	6	1982	1982	NUM
esrj-78880	199	7	)	)	PUNCT
esrj-78880	199	8	.	.	PUNCT
esrj-78880	200	1	neural	neural	ADJ
esrj-78880	200	2	networks	network	NOUN
esrj-78880	200	3	and	and	CCONJ
esrj-78880	200	4	physical	physical	ADJ
esrj-78880	200	5	systems	system	NOUN
esrj-78880	200	6	with	with	ADP
esrj-78880	200	7	emergent	emergent	ADJ
esrj-78880	200	8	collective	collective	ADJ
esrj-78880	200	9	computational	computational	ADJ
esrj-78880	200	10	abilities	ability	NOUN
esrj-78880	200	11	.	.	PUNCT
esrj-78880	201	1	proceedings	proceeding	NOUN
esrj-78880	201	2	of	of	ADP
esrj-78880	201	3	the	the	DET
esrj-78880	201	4	national	national	PROPN
esrj-78880	201	5	academy	academy	PROPN
esrj-78880	201	6	of	of	ADP
esrj-78880	201	7	sciences	sciences	PROPN
esrj-78880	201	8	,	,	PUNCT
esrj-78880	201	9	79(8	79(8	NUM
esrj-78880	201	10	)	)	PUNCT
esrj-78880	201	11	,	,	PUNCT
esrj-78880	201	12	2554–2558	2554–2558	NUM
esrj-78880	201	13	.	.	PUNCT
esrj-78880	202	1	https://doi.org/10.1073/	https://doi.org/10.1073/	PROPN
esrj-78880	202	2	pnas.79.8.2554	pnas.79.8.2554	PROPN
esrj-78880	202	3	hornik	hornik	PROPN
esrj-78880	202	4	,	,	PUNCT
esrj-78880	202	5	k.	k.	PROPN
esrj-78880	202	6	,	,	PUNCT
esrj-78880	202	7	stinchcombe	stinchcombe	PROPN
esrj-78880	202	8	,	,	PUNCT
esrj-78880	202	9	m.	m.	NOUN
esrj-78880	202	10	,	,	PUNCT
esrj-78880	202	11	&	&	CCONJ
esrj-78880	202	12	white	white	PROPN
esrj-78880	202	13	,	,	PUNCT
esrj-78880	202	14	h.	h.	PROPN
esrj-78880	202	15	(	(	PUNCT
esrj-78880	202	16	1989	1989	NUM
esrj-78880	202	17	)	)	PUNCT
esrj-78880	202	18	.	.	PUNCT
esrj-78880	203	1	multilayer	multilayer	ADJ
esrj-78880	203	2	feedforward	feedforward	NOUN
esrj-78880	203	3	networks	network	NOUN
esrj-78880	203	4	are	be	AUX
esrj-78880	203	5	universal	universal	ADJ
esrj-78880	203	6	approximators	approximator	NOUN
esrj-78880	203	7	.	.	PUNCT
esrj-78880	204	1	neural	neural	ADJ
esrj-78880	204	2	networks	network	NOUN
esrj-78880	204	3	,	,	PUNCT
esrj-78880	204	4	2(5	2(5	NUM
esrj-78880	204	5	)	)	PUNCT
esrj-78880	204	6	,	,	PUNCT
esrj-78880	204	7	359	359	NUM
esrj-78880	204	8	–	–	PUNCT
esrj-78880	204	9	366	366	NUM
esrj-78880	204	10	.	.	PUNCT
esrj-78880	205	1	https://doi.org/10.1016/0893-6080(89)90020-8	https://doi.org/10.1016/0893-6080(89)90020-8	NOUN
esrj-78880	205	2	ibge	ibge	NOUN
esrj-78880	205	3	.	.	PUNCT
esrj-78880	206	1	(	(	PUNCT
esrj-78880	206	2	2018	2018	NUM
esrj-78880	206	3	)	)	PUNCT
esrj-78880	206	4	.	.	PUNCT
esrj-78880	207	1	ibge	ibge	NOUN
esrj-78880	207	2	|	|	ADV
esrj-78880	207	3	portal	portal	ADJ
esrj-78880	207	4	do	do	VERB
esrj-78880	207	5	ibge	ibge	NOUN
esrj-78880	207	6	.	.	PUNCT
esrj-78880	208	1	retrieved	retrieve	VERB
esrj-78880	208	2	may	may	AUX
esrj-78880	208	3	16	16	NUM
esrj-78880	208	4	,	,	PUNCT
esrj-78880	208	5	2018	2018	NUM
esrj-78880	208	6	,	,	PUNCT
esrj-78880	208	7	from	from	ADP
esrj-78880	208	8	https://	https://	PROPN
esrj-78880	208	9	www.ibge.gov.br/index.php	www.ibge.gov.br/index.php	PROPN
esrj-78880	208	10	indriyatmoko	indriyatmoko	PROPN
esrj-78880	208	11	,	,	PUNCT
esrj-78880	208	12	a.	a.	PROPN
esrj-78880	208	13	,	,	PUNCT
esrj-78880	208	14	kang	kang	PROPN
esrj-78880	208	15	,	,	PUNCT
esrj-78880	208	16	t.	t.	PROPN
esrj-78880	208	17	,	,	PUNCT
esrj-78880	208	18	lee	lee	PROPN
esrj-78880	208	19	,	,	PUNCT
esrj-78880	208	20	y.	y.	PROPN
esrj-78880	208	21	j.	j.	PROPN
esrj-78880	208	22	,	,	PUNCT
esrj-78880	208	23	jee	jee	PROPN
esrj-78880	208	24	,	,	PUNCT
esrj-78880	208	25	g.	g.	PROPN
esrj-78880	208	26	i.	i.	PROPN
esrj-78880	208	27	,	,	PUNCT
esrj-78880	208	28	cho	cho	PROPN
esrj-78880	208	29	,	,	PUNCT
esrj-78880	208	30	y.	y.	PROPN
esrj-78880	208	31	b.	b.	PROPN
esrj-78880	208	32	,	,	PUNCT
esrj-78880	208	33	&	&	CCONJ
esrj-78880	208	34	kim	kim	PROPN
esrj-78880	208	35	,	,	PUNCT
esrj-78880	208	36	j.	j.	PROPN
esrj-78880	208	37	(	(	PUNCT
esrj-78880	208	38	2008	2008	NUM
esrj-78880	208	39	)	)	PUNCT
esrj-78880	208	40	.	.	PUNCT
esrj-78880	209	1	artificial	artificial	ADJ
esrj-78880	209	2	neural	neural	ADJ
esrj-78880	209	3	networks	network	NOUN
esrj-78880	209	4	for	for	ADP
esrj-78880	209	5	predicting	predict	VERB
esrj-78880	209	6	dgps	dgps	PROPN
esrj-78880	209	7	carrier	carrier	NOUN
esrj-78880	209	8	phase	phase	NOUN
esrj-78880	209	9	and	and	CCONJ
esrj-78880	209	10	pseudorange	pseudorange	NOUN
esrj-78880	209	11	correction	correction	NOUN
esrj-78880	209	12	.	.	PUNCT
esrj-78880	210	1	gps	gps	PROPN
esrj-78880	210	2	solutions	solution	NOUN
esrj-78880	210	3	,	,	PUNCT
esrj-78880	210	4	12(4	12(4	NUM
esrj-78880	210	5	)	)	PUNCT
esrj-78880	210	6	,	,	PUNCT
esrj-78880	210	7	237–247	237–247	NUM
esrj-78880	210	8	.	.	PUNCT
esrj-78880	211	1	https://doi	https://doi	X
esrj-78880	211	2	.	.	PUNCT
esrj-78880	211	3	org/10.1007	org/10.1007	PROPN
esrj-78880	211	4	/	/	SYM
esrj-78880	211	5	s10291	s10291	NOUN
esrj-78880	211	6	-	-	PUNCT
esrj-78880	211	7	008	008	NUM
esrj-78880	211	8	-	-	PUNCT
esrj-78880	211	9	0088	0088	NUM
esrj-78880	211	10	-	-	PUNCT
esrj-78880	211	11	x	x	SYM
esrj-78880	211	12	jwo	jwo	PROPN
esrj-78880	211	13	,	,	PUNCT
esrj-78880	211	14	d.	d.	PROPN
esrj-78880	211	15	j.	j.	PROPN
esrj-78880	211	16	,	,	PUNCT
esrj-78880	211	17	&	&	CCONJ
esrj-78880	211	18	chin	chin	PROPN
esrj-78880	211	19	,	,	PUNCT
esrj-78880	211	20	k.	k.	PROPN
esrj-78880	212	1	p.	p.	PROPN
esrj-78880	212	2	(	(	PUNCT
esrj-78880	212	3	2002	2002	NUM
esrj-78880	212	4	)	)	PUNCT
esrj-78880	212	5	.	.	PUNCT
esrj-78880	213	1	applying	apply	VERB
esrj-78880	213	2	back	back	ADJ
esrj-78880	213	3	-	-	PUNCT
esrj-78880	213	4	propagation	propagation	NOUN
esrj-78880	213	5	neural	neural	ADJ
esrj-78880	213	6	networks	network	NOUN
esrj-78880	213	7	to	to	ADP
esrj-78880	213	8	gdop	gdop	PROPN
esrj-78880	213	9	approximation	approximation	NOUN
esrj-78880	213	10	.	.	PUNCT
esrj-78880	214	1	the	the	DET
esrj-78880	214	2	journal	journal	NOUN
esrj-78880	214	3	of	of	ADP
esrj-78880	214	4	navigation	navigation	NOUN
esrj-78880	214	5	,	,	PUNCT
esrj-78880	214	6	55(1	55(1	NOUN
esrj-78880	214	7	)	)	PUNCT
esrj-78880	214	8	,	,	PUNCT
esrj-78880	214	9	97–108	97–108	PROPN
esrj-78880	214	10	.	.	PUNCT
esrj-78880	215	1	https://doi.org/10.1017/s0373463301001606	https://doi.org/10.1017/s0373463301001606	NUM
esrj-78880	215	2	jwo	jwo	NOUN
esrj-78880	215	3	,	,	PUNCT
esrj-78880	215	4	d.	d.	PROPN
esrj-78880	215	5	j.	j.	PROPN
esrj-78880	215	6	,	,	PUNCT
esrj-78880	215	7	&	&	CCONJ
esrj-78880	215	8	lai	lai	PROPN
esrj-78880	215	9	,	,	PUNCT
esrj-78880	215	10	c.	c.	PROPN
esrj-78880	215	11	c.	c.	PROPN
esrj-78880	215	12	(	(	PUNCT
esrj-78880	215	13	2007	2007	NUM
esrj-78880	215	14	)	)	PUNCT
esrj-78880	215	15	.	.	PUNCT
esrj-78880	216	1	neural	neural	ADJ
esrj-78880	216	2	network	network	NOUN
esrj-78880	216	3	-	-	PUNCT
esrj-78880	216	4	based	base	VERB
esrj-78880	216	5	gps	gps	PROPN
esrj-78880	216	6	gdop	gdop	PROPN
esrj-78880	216	7	approximation	approximation	NOUN
esrj-78880	216	8	and	and	CCONJ
esrj-78880	216	9	classification	classification	NOUN
esrj-78880	216	10	.	.	PUNCT
esrj-78880	217	1	gps	gps	PROPN
esrj-78880	217	2	solutions	solution	NOUN
esrj-78880	217	3	,	,	PUNCT
esrj-78880	217	4	11(1	11(1	NUM
esrj-78880	217	5	)	)	PUNCT
esrj-78880	217	6	,	,	PUNCT
esrj-78880	217	7	51–60	51–60	PROPN
esrj-78880	217	8	.	.	PUNCT
esrj-78880	218	1	https://	https://	PROPN
esrj-78880	218	2	doi.org/10.1007/s10291-006-0030-z	doi.org/10.1007/s10291-006-0030-z	PROPN
esrj-78880	218	3	kingma	kingma	PROPN
esrj-78880	218	4	,	,	PUNCT
esrj-78880	218	5	d.	d.	PROPN
esrj-78880	218	6	p.	p.	PROPN
esrj-78880	218	7	,	,	PUNCT
esrj-78880	218	8	&	&	CCONJ
esrj-78880	218	9	ba	ba	PROPN
esrj-78880	218	10	,	,	PUNCT
esrj-78880	218	11	j.	j.	PROPN
esrj-78880	218	12	l.	l.	PROPN
esrj-78880	218	13	(	(	PUNCT
esrj-78880	218	14	2014	2014	NUM
esrj-78880	218	15	)	)	PUNCT
esrj-78880	218	16	.	.	PUNCT
esrj-78880	219	1	adam	adam	PROPN
esrj-78880	219	2	:	:	PUNCT
esrj-78880	219	3	a	a	DET
esrj-78880	219	4	method	method	NOUN
esrj-78880	219	5	for	for	ADP
esrj-78880	219	6	stochastic	stochastic	ADJ
esrj-78880	219	7	optimization	optimization	NOUN
esrj-78880	219	8	.	.	PUNCT
esrj-78880	220	1	international	international	ADJ
esrj-78880	220	2	conference	conference	NOUN
esrj-78880	220	3	on	on	ADP
esrj-78880	220	4	learning	learn	VERB
esrj-78880	220	5	representations	representation	NOUN
esrj-78880	220	6	,	,	PUNCT
esrj-78880	220	7	1–15	1–15	NUM
esrj-78880	220	8	.	.	PUNCT
esrj-78880	221	1	leandro	leandro	PROPN
esrj-78880	221	2	,	,	PUNCT
esrj-78880	221	3	r.	r.	PROPN
esrj-78880	221	4	f.	f.	PROPN
esrj-78880	221	5	,	,	PUNCT
esrj-78880	221	6	silva	silva	PROPN
esrj-78880	221	7	,	,	PUNCT
esrj-78880	221	8	c.	c.	PROPN
esrj-78880	221	9	a.	a.	PROPN
esrj-78880	221	10	u.	u.	PROPN
esrj-78880	221	11	,	,	PUNCT
esrj-78880	221	12	&	&	CCONJ
esrj-78880	221	13	santos	santos	PROPN
esrj-78880	221	14	,	,	PUNCT
esrj-78880	221	15	m.	m.	NOUN
esrj-78880	221	16	c.	c.	PROPN
esrj-78880	221	17	(	(	PUNCT
esrj-78880	221	18	2007	2007	NUM
esrj-78880	221	19	)	)	PUNCT
esrj-78880	221	20	.	.	PUNCT
esrj-78880	222	1	feeding	feed	VERB
esrj-78880	222	2	neural	neural	ADJ
esrj-78880	222	3	network	network	NOUN
esrj-78880	222	4	models	model	NOUN
esrj-78880	222	5	with	with	ADP
esrj-78880	222	6	gps	gps	PROPN
esrj-78880	222	7	observations	observation	NOUN
esrj-78880	222	8	:	:	PUNCT
esrj-78880	222	9	a	a	DET
esrj-78880	222	10	challenging	challenging	ADJ
esrj-78880	222	11	task	task	NOUN
esrj-78880	222	12	.	.	PUNCT
esrj-78880	223	1	dynamic	dynamic	ADJ
esrj-78880	223	2	planet	planet	NOUN
esrj-78880	223	3	,	,	PUNCT
esrj-78880	223	4	130	130	NUM
esrj-78880	223	5	,	,	PUNCT
esrj-78880	223	6	186–193	186–193	NUM
esrj-78880	223	7	.	.	X
esrj-78880	223	8	leick	leick	PROPN
esrj-78880	223	9	,	,	PUNCT
esrj-78880	223	10	a.	a.	NOUN
esrj-78880	223	11	,	,	PUNCT
esrj-78880	223	12	rapoport	rapoport	NOUN
esrj-78880	223	13	,	,	PUNCT
esrj-78880	223	14	l.	l.	PROPN
esrj-78880	223	15	,	,	PUNCT
esrj-78880	223	16	&	&	CCONJ
esrj-78880	223	17	tatarnikov	tatarnikov	PROPN
esrj-78880	223	18	,	,	PUNCT
esrj-78880	223	19	d.	d.	PROPN
esrj-78880	223	20	(	(	PUNCT
esrj-78880	223	21	2015	2015	NUM
esrj-78880	223	22	)	)	PUNCT
esrj-78880	223	23	.	.	PUNCT
esrj-78880	224	1	gps	gps	PROPN
esrj-78880	224	2	satellite	satellite	NOUN
esrj-78880	224	3	surveying	surveying	NOUN
esrj-78880	224	4	(	(	PUNCT
esrj-78880	224	5	4th	4th	ADJ
esrj-78880	224	6	ed	ed	NOUN
esrj-78880	224	7	.	.	PUNCT
esrj-78880	224	8	)	)	PUNCT
esrj-78880	224	9	.	.	PUNCT
esrj-78880	225	1	hoboken	hoboken	PROPN
esrj-78880	225	2	:	:	PUNCT
esrj-78880	225	3	johnwiley	johnwiley	PROPN
esrj-78880	225	4	&	&	CCONJ
esrj-78880	225	5	sons	son	NOUN
esrj-78880	225	6	.	.	PUNCT
esrj-78880	226	1	mazzetto	mazzetto	NOUN
esrj-78880	226	2	,	,	PUNCT
esrj-78880	226	3	j.	j.	PROPN
esrj-78880	226	4	v.	v.	PROPN
esrj-78880	226	5	b.	b.	PROPN
esrj-78880	226	6	(	(	PUNCT
esrj-78880	226	7	2017	2017	NUM
esrj-78880	226	8	)	)	PUNCT
esrj-78880	226	9	.	.	PUNCT
esrj-78880	227	1	estimation	estimation	NOUN
esrj-78880	227	2	of	of	ADP
esrj-78880	227	3	l2	l2	NOUN
esrj-78880	227	4	observables	observable	NOUN
esrj-78880	227	5	of	of	ADP
esrj-78880	227	6	the	the	DET
esrj-78880	227	7	gps	gps	NOUN
esrj-78880	227	8	system	system	NOUN
esrj-78880	227	9	through	through	ADP
esrj-78880	227	10	the	the	DET
esrj-78880	227	11	use	use	NOUN
esrj-78880	227	12	of	of	ADP
esrj-78880	227	13	artificial	artificial	ADJ
esrj-78880	227	14	neural	neural	ADJ
esrj-78880	227	15	networks	network	NOUN
esrj-78880	227	16	.	.	PUNCT
esrj-78880	228	1	são	são	PROPN
esrj-78880	228	2	carlos	carlos	PROPN
esrj-78880	228	3	school	school	PROPN
esrj-78880	228	4	of	of	ADP
esrj-78880	228	5	engineering	engineering	PROPN
esrj-78880	228	6	university	university	PROPN
esrj-78880	228	7	of	of	ADP
esrj-78880	228	8	são	são	PROPN
esrj-78880	228	9	paulo	paulo	PROPN
esrj-78880	228	10	(	(	PUNCT
esrj-78880	228	11	eesc	eesc	NOUN
esrj-78880	228	12	-	-	PUNCT
esrj-78880	228	13	usp	usp	NOUN
esrj-78880	228	14	)	)	PUNCT
esrj-78880	228	15	,	,	PUNCT
esrj-78880	228	16	são	são	PROPN
esrj-78880	228	17	carlos	carlos	PROPN
esrj-78880	228	18	.	.	PUNCT
esrj-78880	229	1	mcculloch	mcculloch	PROPN
esrj-78880	229	2	,	,	PUNCT
esrj-78880	229	3	w.	w.	PROPN
esrj-78880	229	4	s.	s.	PROPN
esrj-78880	229	5	,	,	PUNCT
esrj-78880	229	6	&	&	CCONJ
esrj-78880	229	7	pitts	pitts	PROPN
esrj-78880	229	8	,	,	PUNCT
esrj-78880	229	9	w.	w.	NOUN
esrj-78880	229	10	(	(	PUNCT
esrj-78880	229	11	1943	1943	NUM
esrj-78880	229	12	)	)	PUNCT
esrj-78880	229	13	.	.	PUNCT
esrj-78880	230	1	a	a	DET
esrj-78880	230	2	logical	logical	ADJ
esrj-78880	230	3	calculus	calculus	NOUN
esrj-78880	230	4	of	of	ADP
esrj-78880	230	5	the	the	DET
esrj-78880	230	6	ideas	idea	NOUN
esrj-78880	230	7	immanent	immanent	ADJ
esrj-78880	230	8	in	in	ADP
esrj-78880	230	9	nervous	nervous	ADJ
esrj-78880	230	10	activity	activity	NOUN
esrj-78880	230	11	.	.	PUNCT
esrj-78880	231	1	the	the	DET
esrj-78880	231	2	bulletin	bulletin	NOUN
esrj-78880	231	3	of	of	ADP
esrj-78880	231	4	mathematical	mathematical	ADJ
esrj-78880	231	5	biophysics	biophysic	NOUN
esrj-78880	231	6	,	,	PUNCT
esrj-78880	231	7	5(4	5(4	NUM
esrj-78880	231	8	)	)	PUNCT
esrj-78880	231	9	,	,	PUNCT
esrj-78880	231	10	115–133	115–133	NUM
esrj-78880	231	11	.	.	PUNCT
esrj-78880	232	1	https://doi.org/10.1007/bf02478259	https://doi.org/10.1007/bf02478259	NOUN
esrj-78880	232	2	mosavi	mosavi	VERB
esrj-78880	232	3	,	,	PUNCT
esrj-78880	232	4	m.	m.	NOUN
esrj-78880	232	5	r.	r.	PROPN
esrj-78880	232	6	(	(	PUNCT
esrj-78880	232	7	2004	2004	NUM
esrj-78880	232	8	)	)	PUNCT
esrj-78880	232	9	.	.	PUNCT
esrj-78880	233	1	a	a	DET
esrj-78880	233	2	wavelet	wavelet	NOUN
esrj-78880	233	3	based	base	VERB
esrj-78880	233	4	neural	neural	ADJ
esrj-78880	233	5	network	network	NOUN
esrj-78880	233	6	for	for	ADP
esrj-78880	233	7	dgps	dgps	PROPN
esrj-78880	233	8	corrections	correction	NOUN
esrj-78880	233	9	prediction	prediction	NOUN
esrj-78880	233	10	.	.	PUNCT
esrj-78880	234	1	wseas	wseas	PROPN
esrj-78880	234	2	transactions	transaction	NOUN
esrj-78880	234	3	on	on	ADP
esrj-78880	234	4	systems	system	NOUN
esrj-78880	234	5	,	,	PUNCT
esrj-78880	234	6	3(10	3(10	NUM
esrj-78880	234	7	)	)	PUNCT
esrj-78880	234	8	,	,	PUNCT
esrj-78880	234	9	3070–3075	3070–3075	NUM
esrj-78880	234	10	.	.	PUNCT
esrj-78880	235	1	mosavi	mosavi	PROPN
esrj-78880	235	2	,	,	PUNCT
esrj-78880	235	3	m.	m.	NOUN
esrj-78880	235	4	r.	r.	PROPN
esrj-78880	235	5	(	(	PUNCT
esrj-78880	235	6	2007	2007	NUM
esrj-78880	235	7	)	)	PUNCT
esrj-78880	235	8	.	.	PUNCT
esrj-78880	236	1	gps	gps	PROPN
esrj-78880	236	2	receivers	receiver	NOUN
esrj-78880	236	3	timing	time	VERB
esrj-78880	236	4	data	datum	NOUN
esrj-78880	236	5	processing	processing	NOUN
esrj-78880	236	6	using	use	VERB
esrj-78880	236	7	neural	neural	ADJ
esrj-78880	236	8	networks	network	NOUN
esrj-78880	236	9	:	:	PUNCT
esrj-78880	236	10	optimal	optimal	ADJ
esrj-78880	236	11	estimation	estimation	NOUN
esrj-78880	236	12	and	and	CCONJ
esrj-78880	236	13	errors	error	NOUN
esrj-78880	236	14	modeling	modeling	NOUN
esrj-78880	236	15	.	.	PUNCT
esrj-78880	237	1	international	international	ADJ
esrj-78880	237	2	journal	journal	PROPN
esrj-78880	237	3	of	of	ADP
esrj-78880	237	4	neural	neural	ADJ
esrj-78880	237	5	systems	system	NOUN
esrj-78880	237	6	,	,	PUNCT
esrj-78880	237	7	17(5	17(5	NUM
esrj-78880	237	8	)	)	PUNCT
esrj-78880	237	9	,	,	PUNCT
esrj-78880	237	10	383–393	383–393	NUM
esrj-78880	237	11	.	.	PUNCT
esrj-78880	238	1	https://doi.org/10.1142/	https://doi.org/10.1142/	PROPN
esrj-78880	238	2	s0129065707001226	s0129065707001226	PROPN
esrj-78880	238	3	rosenblatt	rosenblatt	PROPN
esrj-78880	238	4	,	,	PUNCT
esrj-78880	238	5	f.	f.	PROPN
esrj-78880	238	6	(	(	PUNCT
esrj-78880	238	7	1958	1958	NUM
esrj-78880	238	8	)	)	PUNCT
esrj-78880	238	9	.	.	PUNCT
esrj-78880	239	1	the	the	DET
esrj-78880	239	2	perceptron	perceptron	PROPN
esrj-78880	239	3	:	:	PUNCT
esrj-78880	239	4	a	a	DET
esrj-78880	239	5	probabilistic	probabilistic	ADJ
esrj-78880	239	6	model	model	NOUN
esrj-78880	239	7	for	for	ADP
esrj-78880	239	8	information	information	NOUN
esrj-78880	239	9	storage	storage	NOUN
esrj-78880	239	10	and	and	CCONJ
esrj-78880	239	11	organization	organization	NOUN
esrj-78880	239	12	in	in	ADP
esrj-78880	239	13	the	the	DET
esrj-78880	239	14	brain	brain	NOUN
esrj-78880	239	15	.	.	PUNCT
esrj-78880	240	1	psychological	psychological	ADJ
esrj-78880	240	2	review	review	NOUN
esrj-78880	240	3	,	,	PUNCT
esrj-78880	240	4	65(6	65(6	NUM
esrj-78880	240	5	)	)	PUNCT
esrj-78880	240	6	,	,	PUNCT
esrj-78880	240	7	386–408	386–408	NUM
esrj-78880	240	8	.	.	PUNCT
esrj-78880	241	1	https://doi.org/10.1037/h0042519	https://doi.org/10.1037/h0042519	NUM
esrj-78880	241	2	rumelhart	rumelhart	NOUN
esrj-78880	241	3	,	,	PUNCT
esrj-78880	241	4	d.	d.	PROPN
esrj-78880	241	5	e.	e.	PROPN
esrj-78880	241	6	,	,	PUNCT
esrj-78880	241	7	hinton	hinton	PROPN
esrj-78880	241	8	,	,	PUNCT
esrj-78880	241	9	g.	g.	PROPN
esrj-78880	241	10	e.	e.	PROPN
esrj-78880	241	11	,	,	PUNCT
esrj-78880	241	12	&	&	CCONJ
esrj-78880	241	13	williams	williams	PROPN
esrj-78880	241	14	,	,	PUNCT
esrj-78880	241	15	r.	r.	PROPN
esrj-78880	241	16	j.	j.	PROPN
esrj-78880	241	17	(	(	PUNCT
esrj-78880	241	18	1986	1986	NUM
esrj-78880	241	19	)	)	PUNCT
esrj-78880	241	20	.	.	PUNCT
esrj-78880	242	1	learning	learn	VERB
esrj-78880	242	2	representations	representation	NOUN
esrj-78880	242	3	by	by	ADP
esrj-78880	242	4	back	back	ADV
esrj-78880	242	5	-	-	PUNCT
esrj-78880	242	6	propagating	propagate	VERB
esrj-78880	242	7	errors	error	NOUN
esrj-78880	242	8	.	.	PUNCT
esrj-78880	243	1	nature	nature	NOUN
esrj-78880	243	2	,	,	PUNCT
esrj-78880	243	3	323(6088	323(6088	NUM
esrj-78880	243	4	)	)	PUNCT
esrj-78880	243	5	,	,	PUNCT
esrj-78880	243	6	533	533	NUM
esrj-78880	243	7	–	–	PUNCT
esrj-78880	243	8	536	536	NUM
esrj-78880	243	9	.	.	PUNCT
esrj-78880	244	1	https://doi.org/10.1038/323533a0	https://doi.org/10.1038/323533a0	PROPN
esrj-78880	244	2	sang	sing	VERB
esrj-78880	244	3	,	,	PUNCT
esrj-78880	244	4	j.	j.	PROPN
esrj-78880	244	5	,	,	PUNCT
esrj-78880	244	6	kubik	kubik	PROPN
esrj-78880	244	7	,	,	PUNCT
esrj-78880	244	8	k.	k.	PROPN
esrj-78880	244	9	,	,	PUNCT
esrj-78880	244	10	&	&	CCONJ
esrj-78880	244	11	zhang	zhang	PROPN
esrj-78880	244	12	,	,	PUNCT
esrj-78880	244	13	l.	l.	PROPN
esrj-78880	244	14	(	(	PUNCT
esrj-78880	244	15	1997	1997	NUM
esrj-78880	244	16	)	)	PUNCT
esrj-78880	244	17	.	.	PUNCT
esrj-78880	245	1	prediction	prediction	NOUN
esrj-78880	245	2	of	of	ADP
esrj-78880	245	3	dgps	dgps	PROPN
esrj-78880	245	4	corrections	correction	NOUN
esrj-78880	245	5	with	with	ADP
esrj-78880	245	6	neural	neural	ADJ
esrj-78880	245	7	networks	network	NOUN
esrj-78880	245	8	.	.	PUNCT
esrj-78880	246	1	in	in	ADP
esrj-78880	246	2	knowledge	knowledge	NOUN
esrj-78880	246	3	-	-	PUNCT
esrj-78880	246	4	based	base	VERB
esrj-78880	246	5	intelligent	intelligent	ADJ
esrj-78880	246	6	electronic	electronic	ADJ
esrj-78880	246	7	systems	system	NOUN
esrj-78880	246	8	.	.	PUNCT
esrj-78880	247	1	ieee	ieee	PROPN
esrj-78880	247	2	.	.	PUNCT
esrj-78880	247	3	https://doi.org/10.1109/kes.1997.619409	https://doi.org/10.1109/kes.1997.619409	PROPN
esrj-78880	247	4	scikit	scikit	NOUN
esrj-78880	247	5	-	-	PUNCT
esrj-78880	247	6	learn	learn	NOUN
esrj-78880	247	7	.	.	PUNCT
esrj-78880	248	1	(	(	PUNCT
esrj-78880	248	2	2018	2018	NUM
esrj-78880	248	3	)	)	PUNCT
esrj-78880	248	4	.	.	PUNCT
esrj-78880	249	1	scikit	scikit	NOUN
esrj-78880	249	2	-	-	PUNCT
esrj-78880	249	3	learn	learn	VERB
esrj-78880	249	4	:	:	PUNCT
esrj-78880	249	5	machine	machine	NOUN
esrj-78880	249	6	learning	learning	NOUN
esrj-78880	249	7	in	in	ADP
esrj-78880	249	8	python	python	PROPN
esrj-78880	249	9	.	.	PUNCT
esrj-78880	250	1	retrieved	retrieve	VERB
esrj-78880	250	2	october	october	PROPN
esrj-78880	250	3	25	25	NUM
esrj-78880	250	4	,	,	PUNCT
esrj-78880	250	5	2018	2018	NUM
esrj-78880	250	6	,	,	PUNCT
esrj-78880	250	7	from	from	ADP
esrj-78880	250	8	http://scikit-learn.org/	http://scikit-learn.org/	PROPN
esrj-78880	250	9	segantine	segantine	NOUN
esrj-78880	250	10	,	,	PUNCT
esrj-78880	250	11	p.	p.	PROPN
esrj-78880	250	12	c.	c.	PROPN
esrj-78880	250	13	l.	l.	PROPN
esrj-78880	250	14	(	(	PUNCT
esrj-78880	250	15	2005	2005	NUM
esrj-78880	250	16	)	)	PUNCT
esrj-78880	250	17	.	.	PUNCT
esrj-78880	251	1	gps	gps	PROPN
esrj-78880	251	2	:	:	PUNCT
esrj-78880	251	3	global	global	ADJ
esrj-78880	251	4	positioning	positioning	NOUN
esrj-78880	251	5	system	system	NOUN
esrj-78880	251	6	(	(	PUNCT
esrj-78880	251	7	1st	1st	ADJ
esrj-78880	251	8	ed	ed	NOUN
esrj-78880	251	9	.	.	PUNCT
esrj-78880	251	10	)	)	PUNCT
esrj-78880	251	11	.	.	PUNCT
esrj-78880	252	1	são	são	PROPN
esrj-78880	252	2	carlos	carlos	PROPN
esrj-78880	252	3	:	:	PUNCT
esrj-78880	252	4	eesc	eesc	PROPN
esrj-78880	252	5	/	/	SYM
esrj-78880	252	6	usp	usp	PROPN
esrj-78880	252	7	.	.	PUNCT
esrj-78880	253	1	semeniuk	semeniuk	PROPN
esrj-78880	253	2	,	,	PUNCT
esrj-78880	253	3	l.	l.	PROPN
esrj-78880	253	4	,	,	PUNCT
esrj-78880	253	5	&	&	CCONJ
esrj-78880	253	6	noureldin	noureldin	PROPN
esrj-78880	253	7	,	,	PUNCT
esrj-78880	253	8	a.	a.	NOUN
esrj-78880	253	9	(	(	PUNCT
esrj-78880	253	10	2006	2006	NUM
esrj-78880	253	11	)	)	PUNCT
esrj-78880	253	12	.	.	PUNCT
esrj-78880	254	1	bridging	bridge	VERB
esrj-78880	254	2	gps	gps	PROPN
esrj-78880	254	3	outages	outage	NOUN
esrj-78880	254	4	using	use	VERB
esrj-78880	254	5	neural	neural	ADJ
esrj-78880	254	6	network	network	NOUN
esrj-78880	254	7	estimates	estimate	NOUN
esrj-78880	254	8	of	of	ADP
esrj-78880	254	9	ins	in	NOUN
esrj-78880	254	10	position	position	NOUN
esrj-78880	254	11	and	and	CCONJ
esrj-78880	254	12	velocity	velocity	NOUN
esrj-78880	254	13	errors	error	NOUN
esrj-78880	254	14	.	.	PUNCT
esrj-78880	255	1	measurement	measurement	NOUN
esrj-78880	255	2	science	science	NOUN
esrj-78880	255	3	and	and	CCONJ
esrj-78880	255	4	technology	technology	NOUN
esrj-78880	255	5	,	,	PUNCT
esrj-78880	255	6	17(10	17(10	NUM
esrj-78880	255	7	)	)	PUNCT
esrj-78880	255	8	,	,	PUNCT
esrj-78880	255	9	2783–2798	2783–2798	NUM
esrj-78880	255	10	.	.	PUNCT
esrj-78880	256	1	https://doi	https://doi	NOUN
esrj-78880	256	2	.	.	PUNCT
esrj-78880	256	3	org/10.1088/0957	org/10.1088/0957	PROPN
esrj-78880	256	4	-	-	PUNCT
esrj-78880	256	5	0233/17/10/033	0233/17/10/033	PROPN
esrj-78880	256	6	silva	silva	NOUN
esrj-78880	256	7	,	,	PUNCT
esrj-78880	256	8	c.	c.	PROPN
esrj-78880	256	9	a.	a.	PROPN
esrj-78880	256	10	u.	u.	PROPN
esrj-78880	256	11	da	da	PROPN
esrj-78880	256	12	.	.	PUNCT
esrj-78880	256	13	(	(	PUNCT
esrj-78880	256	14	2003	2003	NUM
esrj-78880	256	15	)	)	PUNCT
esrj-78880	256	16	.	.	PUNCT
esrj-78880	257	1	a	a	DET
esrj-78880	257	2	method	method	NOUN
esrj-78880	257	3	to	to	PART
esrj-78880	257	4	estimate	estimate	VERB
esrj-78880	257	5	gps	gps	PROPN
esrj-78880	257	6	data	datum	NOUN
esrj-78880	257	7	observables	observable	NOUN
esrj-78880	257	8	using	use	VERB
esrj-78880	257	9	artificial	artificial	ADJ
esrj-78880	257	10	neural	neural	ADJ
esrj-78880	257	11	networks	network	NOUN
esrj-78880	257	12	.	.	PUNCT
esrj-78880	258	1	são	são	PROPN
esrj-78880	258	2	carlos	carlos	PROPN
esrj-78880	258	3	school	school	PROPN
esrj-78880	258	4	of	of	ADP
esrj-78880	258	5	engineering	engineering	PROPN
esrj-78880	258	6	university	university	PROPN
esrj-78880	258	7	of	of	ADP
esrj-78880	258	8	são	são	PROPN
esrj-78880	258	9	paulo	paulo	PROPN
esrj-78880	258	10	(	(	PUNCT
esrj-78880	258	11	eesc	eesc	NOUN
esrj-78880	258	12	-	-	PUNCT
esrj-78880	258	13	usp	usp	NOUN
esrj-78880	258	14	)	)	PUNCT
esrj-78880	258	15	,	,	PUNCT
esrj-78880	258	16	são	são	PROPN
esrj-78880	258	17	carlos	carlos	PROPN
esrj-78880	258	18	.	.	PROPN
esrj-78880	259	1	silva	silva	PROPN
esrj-78880	259	2	,	,	PUNCT
esrj-78880	259	3	i.	i.	PROPN
esrj-78880	259	4	n.	n.	PROPN
esrj-78880	259	5	,	,	PUNCT
esrj-78880	259	6	spatti	spatti	PROPN
esrj-78880	259	7	,	,	PUNCT
esrj-78880	259	8	d.	d.	PROPN
esrj-78880	259	9	h.	h.	PROPN
esrj-78880	259	10	,	,	PUNCT
esrj-78880	259	11	&	&	CCONJ
esrj-78880	259	12	flauzino	flauzino	PROPN
esrj-78880	259	13	,	,	PUNCT
esrj-78880	259	14	r.	r.	PROPN
esrj-78880	259	15	a.	a.	PROPN
esrj-78880	259	16	(	(	PUNCT
esrj-78880	259	17	2010	2010	NUM
esrj-78880	259	18	)	)	PUNCT
esrj-78880	259	19	.	.	PUNCT
esrj-78880	260	1	redes	redes	PROPN
esrj-78880	260	2	neurais	neurais	PROPN
esrj-78880	260	3	artificiais	artificiais	PROPN
esrj-78880	260	4	para	para	PROPN
esrj-78880	260	5	engenharia	engenharia	PROPN
esrj-78880	260	6	e	e	PROPN
esrj-78880	260	7	ciências	ciências	PROPN
esrj-78880	260	8	aplicadas	aplicadas	PROPN
esrj-78880	260	9	(	(	PUNCT
esrj-78880	260	10	2nd	2nd	ADJ
esrj-78880	260	11	ed	ed	NOUN
esrj-78880	260	12	.	.	PUNCT
esrj-78880	260	13	)	)	PUNCT
esrj-78880	260	14	.	.	PUNCT
esrj-78880	261	1	são	são	PROPN
esrj-78880	261	2	paulo	paulo	PROPN
esrj-78880	261	3	:	:	PUNCT
esrj-78880	261	4	artliber	artliber	NOUN
esrj-78880	261	5	.	.	PUNCT
esrj-78880	262	1	tensorflow	tensorflow	NOUN
esrj-78880	262	2	.	.	PUNCT
esrj-78880	263	1	(	(	PUNCT
esrj-78880	263	2	2018	2018	NUM
esrj-78880	263	3	)	)	PUNCT
esrj-78880	263	4	.	.	PUNCT
esrj-78880	264	1	tensorflow	tensorflow	NOUN
esrj-78880	264	2	.	.	PUNCT
esrj-78880	265	1	retrieved	retrieve	VERB
esrj-78880	265	2	may	may	AUX
esrj-78880	265	3	16	16	NUM
esrj-78880	265	4	,	,	PUNCT
esrj-78880	265	5	2018	2018	NUM
esrj-78880	265	6	,	,	PUNCT
esrj-78880	265	7	from	from	ADP
esrj-78880	265	8	https://www	https://www	PROPN
esrj-78880	265	9	.	.	PROPN
esrj-78880	266	1	tensorflow.org/	tensorflow.org/	PROPN
esrj-78880	266	2	widrow	widrow	PROPN
esrj-78880	266	3	,	,	PUNCT
esrj-78880	266	4	b.	b.	PROPN
esrj-78880	266	5	,	,	PUNCT
esrj-78880	266	6	&	&	CCONJ
esrj-78880	266	7	hoff	hoff	PROPN
esrj-78880	266	8	,	,	PUNCT
esrj-78880	266	9	m.	m.	PROPN
esrj-78880	266	10	e.	e.	PROPN
esrj-78880	266	11	(	(	PUNCT
esrj-78880	266	12	1960	1960	NUM
esrj-78880	266	13	)	)	PUNCT
esrj-78880	266	14	.	.	PUNCT
esrj-78880	267	1	adaptive	adaptive	ADJ
esrj-78880	267	2	switching	switching	NOUN
esrj-78880	267	3	circuits	circuit	NOUN
esrj-78880	267	4	.	.	PUNCT
esrj-78880	268	1	neurocomputing	neurocompute	VERB
esrj-78880	268	2	:	:	PUNCT
esrj-78880	268	3	foundations	foundation	NOUN
esrj-78880	268	4	of	of	ADP
esrj-78880	268	5	research	research	NOUN
esrj-78880	268	6	,	,	PUNCT
esrj-78880	268	7	123–134	123–134	NUM
esrj-78880	268	8	.	.	PUNCT