id	sid	tid	token	lemma	pos
esrj-38712	1	1	application	application	NOUN
esrj-38712	1	2	of	of	ADP
esrj-38712	1	3	artificial	artificial	ADJ
esrj-38712	1	4	neural	neural	ADJ
esrj-38712	1	5	network	network	NOUN
esrj-38712	1	6	for	for	ADP
esrj-38712	1	7	predicting	predict	VERB
esrj-38712	1	8	shaft	shaft	NOUN
esrj-38712	1	9	and	and	CCONJ
esrj-38712	1	10	tip	tip	NOUN
esrj-38712	1	11	resistances	resistance	NOUN
esrj-38712	1	12	of	of	ADP
esrj-38712	1	13	concrete	concrete	ADJ
esrj-38712	1	14	piles	pile	NOUN
esrj-38712	1	15	ehsan	ehsan	PROPN
esrj-38712	1	16	momeni¹	momeni¹	PROPN
esrj-38712	1	17	,	,	PUNCT
esrj-38712	1	18	ramli	ramli	PROPN
esrj-38712	1	19	nazir¹	nazir¹	PROPN
esrj-38712	1	20	,	,	PUNCT
esrj-38712	1	21	danial	danial	PROPN
esrj-38712	1	22	jahed	jahed	PROPN
esrj-38712	1	23	armaghani²	armaghani²	PROPN
esrj-38712	1	24	,	,	PUNCT
esrj-38712	1	25	harnedi	harnedi	ADJ
esrj-38712	1	26	maizir³	maizir³	NOUN
esrj-38712	1	27	¹department	¹department	NUM
esrj-38712	1	28	of	of	ADP
esrj-38712	1	29	geotechnics	geotechnic	NOUN
esrj-38712	1	30	and	and	CCONJ
esrj-38712	1	31	transportation	transportation	NOUN
esrj-38712	1	32	,	,	PUNCT
esrj-38712	1	33	faculty	faculty	NOUN
esrj-38712	1	34	of	of	ADP
esrj-38712	1	35	civil	civil	ADJ
esrj-38712	1	36	engineering	engineering	NOUN
esrj-38712	1	37	,	,	PUNCT
esrj-38712	1	38	universiti	universiti	PROPN
esrj-38712	1	39	teknologi	teknologi	PROPN
esrj-38712	1	40	malaysia	malaysia	PROPN
esrj-38712	1	41	.	.	PUNCT
esrj-38712	2	1	²young	²young	PROPN
esrj-38712	2	2	researchers	researcher	NOUN
esrj-38712	2	3	and	and	CCONJ
esrj-38712	2	4	elite	elite	ADJ
esrj-38712	2	5	club	club	NOUN
esrj-38712	2	6	,	,	PUNCT
esrj-38712	2	7	qaemshahr	qaemshahr	ADJ
esrj-38712	2	8	branch	branch	NOUN
esrj-38712	2	9	,	,	PUNCT
esrj-38712	2	10	islamic	islamic	PROPN
esrj-38712	2	11	azad	azad	PROPN
esrj-38712	2	12	university	university	PROPN
esrj-38712	2	13	,	,	PUNCT
esrj-38712	2	14	qaemshahr	qaemshahr	PROPN
esrj-38712	2	15	,	,	PUNCT
esrj-38712	2	16	iran	iran	PROPN
esrj-38712	2	17	.	.	PUNCT
esrj-38712	3	1	³jurusan	³jurusan	PROPN
esrj-38712	3	2	teknik	teknik	NOUN
esrj-38712	3	3	sipil	sipil	PROPN
esrj-38712	3	4	,	,	PUNCT
esrj-38712	3	5	sekolah	sekolah	PROPN
esrj-38712	3	6	tinggi	tinggi	PROPN
esrj-38712	3	7	teknologi	teknologi	PROPN
esrj-38712	3	8	pekanbaru	pekanbaru	PROPN
esrj-38712	3	9	,	,	PUNCT
esrj-38712	3	10	indonesia	indonesia	PROPN
esrj-38712	3	11	.	.	PUNCT
esrj-38712	4	1	correspondent	correspondent	NOUN
esrj-38712	4	2	author	author	NOUN
esrj-38712	4	3	:	:	PUNCT
esrj-38712	4	4	mehsan23@live.utm.my	mehsan23@live.utm.my	PROPN
esrj-38712	4	5	abstract	abstract	NOUN
esrj-38712	4	6	resumen	resumen	VERB
esrj-38712	4	7	key	key	ADJ
esrj-38712	4	8	words	word	NOUN
esrj-38712	4	9	:	:	PUNCT
esrj-38712	4	10	axial	axial	ADJ
esrj-38712	4	11	bearing	bearing	NOUN
esrj-38712	4	12	capacity	capacity	NOUN
esrj-38712	4	13	,	,	PUNCT
esrj-38712	4	14	artificial	artificial	ADJ
esrj-38712	4	15	neural	neural	ADJ
esrj-38712	4	16	network	network	NOUN
esrj-38712	4	17	,	,	PUNCT
esrj-38712	4	18	high	high	ADJ
esrj-38712	4	19	strain	strain	ADJ
esrj-38712	4	20	dynamic	dynamic	ADJ
esrj-38712	4	21	testing	testing	NOUN
esrj-38712	4	22	,	,	PUNCT
esrj-38712	4	23	pile	pile	ADJ
esrj-38712	4	24	shaft	shaft	NOUN
esrj-38712	4	25	resistance	resistance	NOUN
esrj-38712	4	26	,	,	PUNCT
esrj-38712	4	27	pile	pile	NOUN
esrj-38712	4	28	tip	tip	NOUN
esrj-38712	4	29	resistance	resistance	NOUN
esrj-38712	4	30	.	.	PUNCT
esrj-38712	5	1	palabras	palabras	PROPN
esrj-38712	5	2	clave	clave	PROPN
esrj-38712	5	3	:	:	PUNCT
esrj-38712	5	4	capacidad	capacidad	PROPN
esrj-38712	5	5	axial	axial	PROPN
esrj-38712	5	6	de	de	X
esrj-38712	5	7	soporte	soporte	NOUN
esrj-38712	5	8	;	;	PUNCT
esrj-38712	5	9	red	red	ADJ
esrj-38712	5	10	neuronal	neuronal	ADJ
esrj-38712	5	11	artificial	artificial	NOUN
esrj-38712	5	12	;	;	PUNCT
esrj-38712	5	13	dinámicas	dinámicas	PROPN
esrj-38712	5	14	de	de	X
esrj-38712	5	15	alto	alto	NOUN
esrj-38712	5	16	esfuerzo	esfuerzo	NOUN
esrj-38712	5	17	de	de	X
esrj-38712	5	18	pilotes	pilote	NOUN
esrj-38712	5	19	;	;	PUNCT
esrj-38712	5	20	resistencia	resistencia	PROPN
esrj-38712	5	21	de	de	PROPN
esrj-38712	5	22	punta	punta	PROPN
esrj-38712	5	23	.	.	PROPN
esrj-38712	5	24	record	record	PROPN
esrj-38712	5	25	manuscript	manuscript	NOUN
esrj-38712	5	26	received	receive	VERB
esrj-38712	5	27	:	:	PUNCT
esrj-38712	5	28	11/07/2013	11/07/2013	NUM
esrj-38712	5	29	accepted	accept	VERB
esrj-38712	5	30	for	for	ADP
esrj-38712	5	31	publication	publication	NOUN
esrj-38712	5	32	:	:	PUNCT
esrj-38712	5	33	26/10/2014	26/10/2014	NUM
esrj-38712	5	34	geotechnics	geotechnic	NOUN
esrj-38712	5	35	axial	axial	ADJ
esrj-38712	5	36	bearing	bearing	NOUN
esrj-38712	5	37	capacity	capacity	NOUN
esrj-38712	5	38	(	(	PUNCT
esrj-38712	5	39	abc	abc	PROPN
esrj-38712	5	40	)	)	PUNCT
esrj-38712	5	41	of	of	ADP
esrj-38712	5	42	piles	pile	NOUN
esrj-38712	5	43	is	be	AUX
esrj-38712	5	44	usually	usually	ADV
esrj-38712	5	45	determined	determine	VERB
esrj-38712	5	46	by	by	ADP
esrj-38712	5	47	static	static	ADJ
esrj-38712	5	48	load	load	NOUN
esrj-38712	5	49	test	test	NOUN
esrj-38712	5	50	(	(	PUNCT
esrj-38712	5	51	slt	slt	PROPN
esrj-38712	5	52	)	)	PUNCT
esrj-38712	5	53	.	.	PUNCT
esrj-38712	6	1	however	however	ADV
esrj-38712	6	2	,	,	PUNCT
esrj-38712	6	3	conducting	conduct	VERB
esrj-38712	6	4	slt	slt	PROPN
esrj-38712	6	5	is	be	AUX
esrj-38712	6	6	costly	costly	ADJ
esrj-38712	6	7	and	and	CCONJ
esrj-38712	6	8	time	time	NOUN
esrj-38712	6	9	-	-	PUNCT
esrj-38712	6	10	consuming	consume	VERB
esrj-38712	6	11	.	.	PUNCT
esrj-38712	7	1	high	high	ADJ
esrj-38712	7	2	strain	strain	NOUN
esrj-38712	7	3	dynamic	dynamic	ADJ
esrj-38712	7	4	pile	pile	NOUN
esrj-38712	7	5	testing	testing	NOUN
esrj-38712	7	6	(	(	PUNCT
esrj-38712	7	7	hsdpt	hsdpt	ADV
esrj-38712	7	8	)	)	PUNCT
esrj-38712	7	9	which	which	PRON
esrj-38712	7	10	is	be	AUX
esrj-38712	7	11	provided	provide	VERB
esrj-38712	7	12	by	by	ADP
esrj-38712	7	13	pile	pile	ADJ
esrj-38712	7	14	driving	drive	VERB
esrj-38712	7	15	analyzer	analyzer	NOUN
esrj-38712	7	16	(	(	PUNCT
esrj-38712	7	17	pda	pda	NOUN
esrj-38712	7	18	)	)	PUNCT
esrj-38712	7	19	is	be	AUX
esrj-38712	7	20	a	a	DET
esrj-38712	7	21	more	more	ADV
esrj-38712	7	22	recent	recent	ADJ
esrj-38712	7	23	approach	approach	NOUN
esrj-38712	7	24	for	for	ADP
esrj-38712	7	25	predicting	predict	VERB
esrj-38712	7	26	the	the	DET
esrj-38712	7	27	abc	abc	PROPN
esrj-38712	7	28	of	of	ADP
esrj-38712	7	29	piles	pile	NOUN
esrj-38712	7	30	.	.	PUNCT
esrj-38712	8	1	in	in	ADP
esrj-38712	8	2	comparison	comparison	NOUN
esrj-38712	8	3	to	to	ADP
esrj-38712	8	4	slt	slt	PROPN
esrj-38712	8	5	,	,	PUNCT
esrj-38712	8	6	pda	pda	NOUN
esrj-38712	8	7	test	test	NOUN
esrj-38712	8	8	is	be	AUX
esrj-38712	8	9	quick	quick	ADJ
esrj-38712	8	10	and	and	CCONJ
esrj-38712	8	11	economical	economical	ADJ
esrj-38712	8	12	.	.	PUNCT
esrj-38712	9	1	implementing	implement	VERB
esrj-38712	9	2	feed	feed	NOUN
esrj-38712	9	3	forward	forward	ADV
esrj-38712	9	4	back	back	ADJ
esrj-38712	9	5	-	-	PUNCT
esrj-38712	9	6	propagation	propagation	NOUN
esrj-38712	9	7	artificial	artificial	ADJ
esrj-38712	9	8	neural	neural	ADJ
esrj-38712	9	9	network	network	NOUN
esrj-38712	9	10	(	(	PUNCT
esrj-38712	9	11	ann	ann	PROPN
esrj-38712	9	12	)	)	PUNCT
esrj-38712	9	13	for	for	ADP
esrj-38712	9	14	solving	solve	VERB
esrj-38712	9	15	geotechnical	geotechnical	ADJ
esrj-38712	9	16	problems	problem	NOUN
esrj-38712	9	17	has	have	AUX
esrj-38712	9	18	recently	recently	ADV
esrj-38712	9	19	gained	gain	VERB
esrj-38712	9	20	attention	attention	NOUN
esrj-38712	9	21	mainly	mainly	ADV
esrj-38712	9	22	due	due	ADP
esrj-38712	9	23	to	to	ADP
esrj-38712	9	24	its	its	PRON
esrj-38712	9	25	ability	ability	NOUN
esrj-38712	9	26	in	in	ADP
esrj-38712	9	27	finding	find	VERB
esrj-38712	9	28	complex	complex	ADJ
esrj-38712	9	29	nonlinear	nonlinear	ADJ
esrj-38712	9	30	relationships	relationship	NOUN
esrj-38712	9	31	among	among	ADP
esrj-38712	9	32	different	different	ADJ
esrj-38712	9	33	parameters	parameter	NOUN
esrj-38712	9	34	.	.	PUNCT
esrj-38712	10	1	in	in	ADP
esrj-38712	10	2	this	this	DET
esrj-38712	10	3	study	study	NOUN
esrj-38712	10	4	,	,	PUNCT
esrj-38712	10	5	an	an	DET
esrj-38712	10	6	ann	ann	PROPN
esrj-38712	10	7	-	-	PUNCT
esrj-38712	10	8	based	base	VERB
esrj-38712	10	9	predictive	predictive	ADJ
esrj-38712	10	10	model	model	NOUN
esrj-38712	10	11	for	for	ADP
esrj-38712	10	12	estimating	estimate	VERB
esrj-38712	10	13	abc	abc	PROPN
esrj-38712	10	14	of	of	ADP
esrj-38712	10	15	piles	pile	NOUN
esrj-38712	10	16	and	and	CCONJ
esrj-38712	10	17	its	its	PRON
esrj-38712	10	18	distribution	distribution	NOUN
esrj-38712	10	19	is	be	AUX
esrj-38712	10	20	proposed	propose	VERB
esrj-38712	10	21	.	.	PUNCT
esrj-38712	11	1	for	for	ADP
esrj-38712	11	2	network	network	NOUN
esrj-38712	11	3	construction	construction	NOUN
esrj-38712	11	4	purpose	purpose	NOUN
esrj-38712	11	5	,	,	PUNCT
esrj-38712	11	6	36	36	NUM
esrj-38712	11	7	pda	pda	NOUN
esrj-38712	11	8	tests	test	NOUN
esrj-38712	11	9	were	be	AUX
esrj-38712	11	10	performed	perform	VERB
esrj-38712	11	11	on	on	ADP
esrj-38712	11	12	various	various	ADJ
esrj-38712	11	13	concrete	concrete	ADJ
esrj-38712	11	14	piles	pile	NOUN
esrj-38712	11	15	in	in	ADP
esrj-38712	11	16	different	different	ADJ
esrj-38712	11	17	project	project	NOUN
esrj-38712	11	18	sites	site	NOUN
esrj-38712	11	19	.	.	PUNCT
esrj-38712	12	1	the	the	DET
esrj-38712	12	2	pda	pda	NOUN
esrj-38712	12	3	results	result	VERB
esrj-38712	12	4	,	,	PUNCT
esrj-38712	12	5	pile	pile	VERB
esrj-38712	12	6	geometrical	geometrical	ADJ
esrj-38712	12	7	characteristics	characteristic	NOUN
esrj-38712	12	8	as	as	ADV
esrj-38712	12	9	well	well	ADV
esrj-38712	12	10	as	as	ADP
esrj-38712	12	11	soil	soil	NOUN
esrj-38712	12	12	investigation	investigation	NOUN
esrj-38712	12	13	data	datum	NOUN
esrj-38712	12	14	were	be	AUX
esrj-38712	12	15	used	use	VERB
esrj-38712	12	16	for	for	ADP
esrj-38712	12	17	training	train	VERB
esrj-38712	12	18	the	the	DET
esrj-38712	12	19	ann	ann	PROPN
esrj-38712	12	20	models	model	NOUN
esrj-38712	12	21	.	.	PUNCT
esrj-38712	13	1	findings	finding	NOUN
esrj-38712	13	2	indicate	indicate	VERB
esrj-38712	13	3	the	the	DET
esrj-38712	13	4	feasibility	feasibility	NOUN
esrj-38712	13	5	of	of	ADP
esrj-38712	13	6	ann	ann	PROPN
esrj-38712	13	7	in	in	ADP
esrj-38712	13	8	predicting	predict	VERB
esrj-38712	13	9	ultimate	ultimate	ADJ
esrj-38712	13	10	,	,	PUNCT
esrj-38712	13	11	shaft	shaft	NOUN
esrj-38712	13	12	and	and	CCONJ
esrj-38712	13	13	tip	tip	NOUN
esrj-38712	13	14	bearing	bear	VERB
esrj-38712	13	15	resistances	resistance	NOUN
esrj-38712	13	16	of	of	ADP
esrj-38712	13	17	piles	pile	NOUN
esrj-38712	13	18	.	.	PUNCT
esrj-38712	14	1	the	the	DET
esrj-38712	14	2	coefficients	coefficient	NOUN
esrj-38712	14	3	of	of	ADP
esrj-38712	14	4	determination	determination	NOUN
esrj-38712	14	5	,	,	PUNCT
esrj-38712	14	6	r²	r²	NOUN
esrj-38712	14	7	,	,	PUNCT
esrj-38712	14	8	equal	equal	ADJ
esrj-38712	14	9	to	to	ADP
esrj-38712	14	10	0.941	0.941	NUM
esrj-38712	14	11	,	,	PUNCT
esrj-38712	14	12	0.936	0.936	NUM
esrj-38712	14	13	,	,	PUNCT
esrj-38712	14	14	and	and	CCONJ
esrj-38712	14	15	0.951	0.951	NUM
esrj-38712	14	16	for	for	ADP
esrj-38712	14	17	testing	test	VERB
esrj-38712	14	18	data	datum	NOUN
esrj-38712	14	19	reveal	reveal	VERB
esrj-38712	14	20	that	that	SCONJ
esrj-38712	14	21	the	the	DET
esrj-38712	14	22	shaft	shaft	NOUN
esrj-38712	14	23	,	,	PUNCT
esrj-38712	14	24	tip	tip	NOUN
esrj-38712	14	25	and	and	CCONJ
esrj-38712	14	26	ultimate	ultimate	ADJ
esrj-38712	14	27	bearing	bearing	NOUN
esrj-38712	14	28	capacities	capacity	NOUN
esrj-38712	14	29	of	of	ADP
esrj-38712	14	30	piles	pile	NOUN
esrj-38712	14	31	predicted	predict	VERB
esrj-38712	14	32	by	by	ADP
esrj-38712	14	33	ann	ann	PROPN
esrj-38712	14	34	-	-	PUNCT
esrj-38712	14	35	based	base	VERB
esrj-38712	14	36	model	model	NOUN
esrj-38712	14	37	are	be	AUX
esrj-38712	14	38	in	in	ADP
esrj-38712	14	39	close	close	ADJ
esrj-38712	14	40	agreement	agreement	NOUN
esrj-38712	14	41	with	with	ADP
esrj-38712	14	42	those	those	PRON
esrj-38712	14	43	of	of	ADP
esrj-38712	14	44	hsdpt	hsdpt	ADV
esrj-38712	14	45	.	.	PUNCT
esrj-38712	15	1	by	by	ADP
esrj-38712	15	2	using	use	VERB
esrj-38712	15	3	sensitivity	sensitivity	NOUN
esrj-38712	15	4	analysis	analysis	NOUN
esrj-38712	15	5	,	,	PUNCT
esrj-38712	15	6	it	it	PRON
esrj-38712	15	7	was	be	AUX
esrj-38712	15	8	found	find	VERB
esrj-38712	15	9	that	that	SCONJ
esrj-38712	15	10	the	the	DET
esrj-38712	15	11	length	length	NOUN
esrj-38712	15	12	and	and	CCONJ
esrj-38712	15	13	area	area	NOUN
esrj-38712	15	14	of	of	ADP
esrj-38712	15	15	the	the	DET
esrj-38712	15	16	piles	pile	NOUN
esrj-38712	15	17	are	be	AUX
esrj-38712	15	18	dominant	dominant	ADJ
esrj-38712	15	19	factors	factor	NOUN
esrj-38712	15	20	in	in	ADP
esrj-38712	15	21	the	the	DET
esrj-38712	15	22	proposed	propose	VERB
esrj-38712	15	23	predictive	predictive	ADJ
esrj-38712	15	24	model	model	NOUN
esrj-38712	15	25	.	.	PUNCT
esrj-38712	16	1	la	la	PROPN
esrj-38712	16	2	capacidad	capacidad	PROPN
esrj-38712	16	3	axial	axial	PROPN
esrj-38712	16	4	de	de	X
esrj-38712	16	5	soporte	soporte	PROPN
esrj-38712	16	6	(	(	PUNCT
esrj-38712	16	7	abc	abc	PROPN
esrj-38712	16	8	,	,	PUNCT
esrj-38712	16	9	en	en	X
esrj-38712	16	10	inglés	inglé	NOUN
esrj-38712	16	11	)	)	PUNCT
esrj-38712	16	12	de	de	PROPN
esrj-38712	16	13	un	un	PROPN
esrj-38712	16	14	pilote	pilote	PROPN
esrj-38712	16	15	de	de	X
esrj-38712	16	16	construcción	construcción	PROPN
esrj-38712	16	17	se	se	PROPN
esrj-38712	16	18	determina	determina	PROPN
esrj-38712	16	19	usualmente	usualmente	NOUN
esrj-38712	16	20	a	a	DET
esrj-38712	16	21	través	través	X
esrj-38712	16	22	de	de	X
esrj-38712	16	23	una	una	PROPN
esrj-38712	16	24	prueba	prueba	PROPN
esrj-38712	16	25	de	de	PROPN
esrj-38712	16	26	carga	carga	PROPN
esrj-38712	16	27	estática	estática	PROPN
esrj-38712	16	28	(	(	PUNCT
esrj-38712	16	29	slt	slt	X
esrj-38712	16	30	,	,	PUNCT
esrj-38712	16	31	inglés	inglé	NOUN
esrj-38712	16	32	)	)	PUNCT
esrj-38712	16	33	.	.	PUNCT
esrj-38712	17	1	sin	sin	NOUN
esrj-38712	17	2	embargo	embargo	NOUN
esrj-38712	17	3	,	,	PUNCT
esrj-38712	17	4	estas	estas	X
esrj-38712	17	5	pruebas	pruebas	PROPN
esrj-38712	17	6	son	son	PROPN
esrj-38712	17	7	costosas	costosa	VERB
esrj-38712	17	8	y	y	PROPN
esrj-38712	17	9	demandan	demandan	PROPN
esrj-38712	17	10	tiempo	tiempo	PROPN
esrj-38712	17	11	.	.	PUNCT
esrj-38712	18	1	la	la	PROPN
esrj-38712	18	2	evaluación	evaluación	PROPN
esrj-38712	18	3	de	de	PROPN
esrj-38712	18	4	las	las	PROPN
esrj-38712	18	5	dinámicas	dinámicas	PROPN
esrj-38712	18	6	de	de	X
esrj-38712	18	7	alto	alto	NOUN
esrj-38712	18	8	esfuerzo	esfuerzo	X
esrj-38712	18	9	de	de	X
esrj-38712	18	10	pilotes	pilotes	X
esrj-38712	18	11	(	(	PUNCT
esrj-38712	18	12	hsdpt	hsdpt	ADV
esrj-38712	18	13	,	,	PUNCT
esrj-38712	18	14	inglés	inglé	NOUN
esrj-38712	18	15	)	)	PUNCT
esrj-38712	18	16	,	,	PUNCT
esrj-38712	18	17	que	que	X
esrj-38712	18	18	la	la	PROPN
esrj-38712	18	19	provee	provee	PROPN
esrj-38712	18	20	el	el	PROPN
esrj-38712	18	21	programa	programa	PROPN
esrj-38712	18	22	de	de	PROPN
esrj-38712	18	23	análisis	análisis	PROPN
esrj-38712	18	24	de	de	PROPN
esrj-38712	18	25	excavación	excavación	PROPN
esrj-38712	18	26	(	(	PUNCT
esrj-38712	18	27	pda	pda	PROPN
esrj-38712	18	28	,	,	PUNCT
esrj-38712	18	29	inglés	inglés	PROPN
esrj-38712	18	30	)	)	PUNCT
esrj-38712	18	31	,	,	PUNCT
esrj-38712	18	32	es	es	X
esrj-38712	18	33	una	una	PROPN
esrj-38712	18	34	forma	forma	PROPN
esrj-38712	18	35	de	de	PROPN
esrj-38712	18	36	aproximación	aproximación	PROPN
esrj-38712	18	37	más	más	PROPN
esrj-38712	18	38	reciente	reciente	PROPN
esrj-38712	18	39	para	para	PROPN
esrj-38712	18	40	preveer	preveer	PROPN
esrj-38712	18	41	la	la	PROPN
esrj-38712	18	42	capacidad	capacidad	PROPN
esrj-38712	18	43	axial	axial	PROPN
esrj-38712	18	44	de	de	X
esrj-38712	18	45	soporte	soporte	NOUN
esrj-38712	18	46	.	.	PUNCT
esrj-38712	19	1	en	en	X
esrj-38712	19	2	comparación	comparación	PROPN
esrj-38712	19	3	con	con	PROPN
esrj-38712	19	4	la	la	PROPN
esrj-38712	19	5	prueba	prueba	PROPN
esrj-38712	19	6	de	de	X
esrj-38712	19	7	cargas	cargas	PROPN
esrj-38712	19	8	estática	estática	NOUN
esrj-38712	19	9	,	,	PUNCT
esrj-38712	19	10	la	la	PROPN
esrj-38712	19	11	evaluación	evaluación	PROPN
esrj-38712	19	12	pda	pda	PROPN
esrj-38712	19	13	es	es	PROPN
esrj-38712	19	14	rápida	rápida	PROPN
esrj-38712	19	15	y	y	PROPN
esrj-38712	19	16	económica	económica	PROPN
esrj-38712	19	17	.	.	PUNCT
esrj-38712	20	1	la	la	PROPN
esrj-38712	20	2	implementación	implementación	PROPN
esrj-38712	20	3	de	de	PROPN
esrj-38712	20	4	redes	redes	PROPN
esrj-38712	20	5	neuronales	neuronale	VERB
esrj-38712	20	6	arficiales	arficiale	NOUN
esrj-38712	20	7	(	(	PUNCT
esrj-38712	20	8	ann	ann	PROPN
esrj-38712	20	9	,	,	PUNCT
esrj-38712	20	10	en	en	X
esrj-38712	20	11	inglés	inglé	NOUN
esrj-38712	20	12	)	)	PUNCT
esrj-38712	20	13	que	que	PROPN
esrj-38712	20	14	permita	permita	PROPN
esrj-38712	20	15	resolver	resolver	PROPN
esrj-38712	20	16	problemas	problemas	PROPN
esrj-38712	20	17	geotécnicos	geotécnicos	PROPN
esrj-38712	20	18	ha	ha	INTJ
esrj-38712	20	19	ganado	ganado	PROPN
esrj-38712	20	20	atención	atención	PROPN
esrj-38712	20	21	recientemente	recientemente	PROPN
esrj-38712	20	22	debido	debido	VERB
esrj-38712	20	23	a	a	DET
esrj-38712	20	24	su	su	PROPN
esrj-38712	20	25	posibilidad	posibilidad	PROPN
esrj-38712	20	26	de	de	PROPN
esrj-38712	20	27	hallar	hallar	PROPN
esrj-38712	20	28	relaciones	relaciones	PROPN
esrj-38712	20	29	no	no	DET
esrj-38712	20	30	lineales	lineales	PROPN
esrj-38712	20	31	entre	entre	PROPN
esrj-38712	20	32	los	los	PROPN
esrj-38712	20	33	diferentes	diferentes	PROPN
esrj-38712	20	34	parámetros	parámetros	PROPN
esrj-38712	20	35	.	.	PUNCT
esrj-38712	21	1	en	en	PROPN
esrj-38712	21	2	este	este	X
esrj-38712	21	3	estudio	estudio	PROPN
esrj-38712	21	4	se	se	PROPN
esrj-38712	21	5	propone	propone	PROPN
esrj-38712	21	6	un	un	PROPN
esrj-38712	21	7	modelo	modelo	PROPN
esrj-38712	21	8	predictivo	predictivo	PROPN
esrj-38712	21	9	ann	ann	PROPN
esrj-38712	21	10	para	para	PROPN
esrj-38712	21	11	estimar	estimar	PROPN
esrj-38712	21	12	la	la	PROPN
esrj-38712	21	13	capacidad	capacidad	PROPN
esrj-38712	21	14	axial	axial	PROPN
esrj-38712	21	15	de	de	X
esrj-38712	21	16	soporte	soporte	X
esrj-38712	21	17	de	de	PROPN
esrj-38712	21	18	pilotes	pilotes	PROPN
esrj-38712	21	19	y	y	PROPN
esrj-38712	21	20	su	su	PROPN
esrj-38712	21	21	distribución	distribución	PROPN
esrj-38712	21	22	.	.	PROPN
esrj-38712	21	23	para	para	PROPN
esrj-38712	21	24	fines	fine	NOUN
esrj-38712	21	25	de	de	X
esrj-38712	21	26	una	una	X
esrj-38712	21	27	red	red	PROPN
esrj-38712	21	28	de	de	PROPN
esrj-38712	21	29	construcción	construcción	PROPN
esrj-38712	21	30	se	se	X
esrj-38712	21	31	realizaron	realizaron	PROPN
esrj-38712	21	32	36	36	NUM
esrj-38712	21	33	pruebas	pruebas	PROPN
esrj-38712	21	34	pda	pda	PROPN
esrj-38712	21	35	en	en	X
esrj-38712	21	36	pilotes	pilotes	X
esrj-38712	21	37	de	de	PROPN
esrj-38712	21	38	diferentes	diferentes	PROPN
esrj-38712	21	39	proyectos	proyectos	PROPN
esrj-38712	21	40	.	.	PUNCT
esrj-38712	22	1	los	los	PROPN
esrj-38712	22	2	resultados	resultados	PROPN
esrj-38712	22	3	de	de	X
esrj-38712	22	4	los	los	PROPN
esrj-38712	22	5	análisis	análisis	PROPN
esrj-38712	22	6	de	de	PROPN
esrj-38712	22	7	excavación	excavación	PROPN
esrj-38712	22	8	,	,	PUNCT
esrj-38712	22	9	las	las	PROPN
esrj-38712	22	10	características	características	X
esrj-38712	22	11	geométricas	geométricas	PROPN
esrj-38712	22	12	de	de	X
esrj-38712	22	13	los	los	PROPN
esrj-38712	22	14	pilotes	pilotes	PROPN
esrj-38712	22	15	,	,	PUNCT
esrj-38712	22	16	al	al	PROPN
esrj-38712	22	17	igual	igual	PROPN
esrj-38712	22	18	que	que	PROPN
esrj-38712	22	19	los	los	PROPN
esrj-38712	22	20	datos	datos	PROPN
esrj-38712	22	21	de	de	PROPN
esrj-38712	22	22	investigación	investigación	PROPN
esrj-38712	22	23	del	del	PROPN
esrj-38712	22	24	suelo	suelo	PROPN
esrj-38712	22	25	se	se	X
esrj-38712	22	26	utilizaron	utilizaron	PROPN
esrj-38712	22	27	para	para	PROPN
esrj-38712	22	28	probar	probar	NOUN
esrj-38712	22	29	los	los	PROPN
esrj-38712	22	30	modelos	modelos	PROPN
esrj-38712	22	31	ann	ann	PROPN
esrj-38712	22	32	.	.	PUNCT
esrj-38712	23	1	los	los	PROPN
esrj-38712	23	2	resultados	resultados	PROPN
esrj-38712	23	3	indican	indican	X
esrj-38712	23	4	la	la	PROPN
esrj-38712	23	5	viabilidad	viabilidad	PROPN
esrj-38712	23	6	del	del	PROPN
esrj-38712	23	7	modelo	modelo	PROPN
esrj-38712	23	8	ann	ann	PROPN
esrj-38712	23	9	en	en	PROPN
esrj-38712	23	10	predecir	predecir	PROPN
esrj-38712	23	11	la	la	PROPN
esrj-38712	23	12	resistencia	resistencia	PROPN
esrj-38712	23	13	de	de	X
esrj-38712	23	14	los	los	PROPN
esrj-38712	23	15	pilotes	pilotes	PROPN
esrj-38712	23	16	.	.	PUNCT
esrj-38712	24	1	los	los	PROPN
esrj-38712	24	2	coeficientes	coeficientes	PROPN
esrj-38712	24	3	de	de	PROPN
esrj-38712	24	4	correlación	correlación	PROPN
esrj-38712	24	5	,	,	PUNCT
esrj-38712	24	6	r²	r²	PROPN
esrj-38712	24	7	,	,	PUNCT
esrj-38712	24	8	que	que	X
esrj-38712	24	9	alcanzaron	alcanzaron	NOUN
esrj-38712	24	10	0.941	0.941	NUM
esrj-38712	24	11	,	,	PUNCT
esrj-38712	24	12	09.36	09.36	NUM
esrj-38712	24	13	y	y	PROPN
esrj-38712	24	14	0.951	0.951	NUM
esrj-38712	24	15	para	para	PROPN
esrj-38712	24	16	la	la	PROPN
esrj-38712	24	17	evaluación	evaluación	PROPN
esrj-38712	24	18	de	de	PROPN
esrj-38712	24	19	los	los	PROPN
esrj-38712	24	20	datos	datos	X
esrj-38712	24	21	,	,	PUNCT
esrj-38712	24	22	revelan	revelan	VERB
esrj-38712	24	23	que	que	PROPN
esrj-38712	24	24	la	la	PROPN
esrj-38712	24	25	capacidad	capacidad	PROPN
esrj-38712	24	26	del	del	PROPN
esrj-38712	24	27	pilotaje	pilotaje	PROPN
esrj-38712	24	28	en	en	PROPN
esrj-38712	24	29	el	el	PROPN
esrj-38712	24	30	último	último	PROPN
esrj-38712	24	31	rodamiento	rodamiento	PROPN
esrj-38712	24	32	,	,	PUNCT
esrj-38712	24	33	en	en	PROPN
esrj-38712	24	34	el	el	PROPN
esrj-38712	24	35	cojinete	cojinete	PROPN
esrj-38712	24	36	del	del	PROPN
esrj-38712	24	37	eje	eje	PROPN
esrj-38712	24	38	y	y	PROPN
esrj-38712	24	39	en	en	PROPN
esrj-38712	24	40	la	la	PROPN
esrj-38712	24	41	punta	punta	PROPN
esrj-38712	24	42	que	que	X
esrj-38712	24	43	se	se	PROPN
esrj-38712	24	44	predijeron	predijeron	PROPN
esrj-38712	24	45	con	con	PROPN
esrj-38712	24	46	el	el	PROPN
esrj-38712	24	47	modelo	modelo	PROPN
esrj-38712	24	48	ann	ann	PROPN
esrj-38712	24	49	concuerda	concuerda	PROPN
esrj-38712	24	50	con	con	PROPN
esrj-38712	24	51	las	las	PROPN
esrj-38712	24	52	establecidas	establecida	VERB
esrj-38712	24	53	a	a	DET
esrj-38712	24	54	través	través	NOUN
esrj-38712	24	55	del	del	PROPN
esrj-38712	24	56	hsdpt	hsdpt	PROPN
esrj-38712	24	57	.	.	PUNCT
esrj-38712	25	1	a	a	DET
esrj-38712	25	2	través	través	PROPN
esrj-38712	25	3	del	del	PROPN
esrj-38712	25	4	análisis	análisis	PROPN
esrj-38712	25	5	de	de	PROPN
esrj-38712	25	6	respuesta	respuesta	PROPN
esrj-38712	25	7	se	se	PROPN
esrj-38712	25	8	determinó	determinó	PROPN
esrj-38712	25	9	que	que	PROPN
esrj-38712	25	10	la	la	PROPN
esrj-38712	25	11	longitud	longitud	PROPN
esrj-38712	25	12	y	y	PROPN
esrj-38712	25	13	el	el	PROPN
esrj-38712	25	14	área	área	PROPN
esrj-38712	25	15	de	de	PROPN
esrj-38712	25	16	los	los	PROPN
esrj-38712	25	17	pilotes	pilotes	PROPN
esrj-38712	25	18	son	son	PROPN
esrj-38712	25	19	factores	factores	PROPN
esrj-38712	25	20	dominantes	dominante	VERB
esrj-38712	25	21	en	en	PROPN
esrj-38712	25	22	el	el	PROPN
esrj-38712	25	23	modelo	modelo	PROPN
esrj-38712	25	24	predictivo	predictivo	PROPN
esrj-38712	25	25	propuesto	propuesto	PROPN
esrj-38712	25	26	.	.	PUNCT
esrj-38712	26	1	earth	earth	PROPN
esrj-38712	26	2	sciences	sciences	PROPN
esrj-38712	26	3	research	research	PROPN
esrj-38712	26	4	journal	journal	PROPN
esrj-38712	26	5	earth	earth	PROPN
esrj-38712	26	6	sci	sci	PROPN
esrj-38712	26	7	.	.	PUNCT
esrj-38712	27	1	res	res	PROPN
esrj-38712	27	2	.	.	PUNCT
esrj-38712	28	1	j.	j.	PROPN
esrj-38712	28	2	vol	vol	PROPN
esrj-38712	28	3	.	.	PROPN
esrj-38712	29	1	19	19	NUM
esrj-38712	29	2	,	,	PUNCT
esrj-38712	29	3	no	no	INTJ
esrj-38712	29	4	.	.	NOUN
esrj-38712	29	5	1	1	NUM
esrj-38712	29	6	(	(	PUNCT
esrj-38712	29	7	june	june	PROPN
esrj-38712	29	8	,	,	PUNCT
esrj-38712	29	9	2015	2015	NUM
esrj-38712	29	10	):	):	PUNCT
esrj-38712	29	11	85	85	NUM
esrj-38712	29	12	93	93	NUM
esrj-38712	29	13	issn	issn	PROPN
esrj-38712	29	14	1794	1794	NUM
esrj-38712	29	15	-	-	SYM
esrj-38712	29	16	6190	6190	NUM
esrj-38712	29	17	e	e	NOUN
esrj-38712	29	18	-	-	NOUN
esrj-38712	29	19	issn	issn	PROPN
esrj-38712	29	20	2339	2339	NUM
esrj-38712	29	21	-	-	SYM
esrj-38712	29	22	3459	3459	NUM
esrj-38712	29	23	http://dx.doi.org/10.15446/esrj.v19n1.38712	http://dx.doi.org/10.15446/esrj.v19n1.38712	NOUN
esrj-38712	29	24	86	86	NUM
esrj-38712	29	25	ehsan	ehsan	PROPN
esrj-38712	29	26	momeni	momeni	PROPN
esrj-38712	29	27	,	,	PUNCT
esrj-38712	29	28	ramli	ramli	PROPN
esrj-38712	29	29	nazir	nazir	PROPN
esrj-38712	29	30	,	,	PUNCT
esrj-38712	29	31	danial	danial	PROPN
esrj-38712	29	32	jahed	jahe	VERB
esrj-38712	29	33	armaghani	armaghani	PROPN
esrj-38712	29	34	,	,	PUNCT
esrj-38712	29	35	harnedi	harnedi	PROPN
esrj-38712	29	36	maizir	maizir	NOUN
esrj-38712	29	37	1	1	NUM
esrj-38712	29	38	.	.	PUNCT
esrj-38712	30	1	introduction	introduction	NOUN
esrj-38712	30	2	pile	pile	NOUN
esrj-38712	30	3	foundations	foundation	NOUN
esrj-38712	30	4	are	be	AUX
esrj-38712	30	5	used	use	VERB
esrj-38712	30	6	extensively	extensively	ADV
esrj-38712	30	7	to	to	PART
esrj-38712	30	8	transfer	transfer	VERB
esrj-38712	30	9	structural	structural	ADJ
esrj-38712	30	10	loads	load	NOUN
esrj-38712	30	11	deep	deep	ADV
esrj-38712	30	12	enough	enough	ADV
esrj-38712	30	13	into	into	ADP
esrj-38712	30	14	the	the	DET
esrj-38712	30	15	ground	ground	NOUN
esrj-38712	30	16	.	.	PUNCT
esrj-38712	31	1	proper	proper	ADJ
esrj-38712	31	2	estimation	estimation	NOUN
esrj-38712	31	3	of	of	ADP
esrj-38712	31	4	axial	axial	ADJ
esrj-38712	31	5	bearing	bearing	NOUN
esrj-38712	31	6	capacity	capacity	NOUN
esrj-38712	31	7	is	be	AUX
esrj-38712	31	8	of	of	ADP
esrj-38712	31	9	prime	prime	ADJ
esrj-38712	31	10	importance	importance	NOUN
esrj-38712	31	11	in	in	ADP
esrj-38712	31	12	designing	design	VERB
esrj-38712	31	13	geotechnical	geotechnical	ADJ
esrj-38712	31	14	structures	structure	NOUN
esrj-38712	31	15	.	.	PUNCT
esrj-38712	32	1	the	the	DET
esrj-38712	32	2	ultimate	ultimate	ADJ
esrj-38712	32	3	amount	amount	NOUN
esrj-38712	32	4	of	of	ADP
esrj-38712	32	5	the	the	DET
esrj-38712	32	6	load	load	NOUN
esrj-38712	32	7	,	,	PUNCT
esrj-38712	32	8	which	which	PRON
esrj-38712	32	9	can	can	AUX
esrj-38712	32	10	be	be	AUX
esrj-38712	32	11	carried	carry	VERB
esrj-38712	32	12	by	by	ADP
esrj-38712	32	13	the	the	DET
esrj-38712	32	14	pile	pile	ADJ
esrj-38712	32	15	shaft	shaft	NOUN
esrj-38712	32	16	,	,	PUNCT
esrj-38712	32	17	determines	determine	VERB
esrj-38712	32	18	the	the	DET
esrj-38712	32	19	type	type	NOUN
esrj-38712	32	20	of	of	ADP
esrj-38712	32	21	pile	pile	NOUN
esrj-38712	32	22	as	as	SCONJ
esrj-38712	32	23	piles	pile	NOUN
esrj-38712	32	24	are	be	AUX
esrj-38712	32	25	classified	classify	VERB
esrj-38712	32	26	according	accord	VERB
esrj-38712	32	27	to	to	ADP
esrj-38712	32	28	their	their	PRON
esrj-38712	32	29	load	load	NOUN
esrj-38712	32	30	-	-	PUNCT
esrj-38712	32	31	transfer	transfer	NOUN
esrj-38712	32	32	mechanism	mechanism	NOUN
esrj-38712	32	33	(	(	PUNCT
esrj-38712	32	34	friction	friction	NOUN
esrj-38712	32	35	piles	pile	NOUN
esrj-38712	32	36	and	and	CCONJ
esrj-38712	32	37	end	end	NOUN
esrj-38712	32	38	-	-	PUNCT
esrj-38712	32	39	bearing	bear	VERB
esrj-38712	32	40	piles	pile	NOUN
esrj-38712	32	41	)	)	PUNCT
esrj-38712	32	42	.	.	PUNCT
esrj-38712	33	1	hence	hence	ADV
esrj-38712	33	2	,	,	PUNCT
esrj-38712	33	3	in	in	ADP
esrj-38712	33	4	addition	addition	NOUN
esrj-38712	33	5	to	to	ADP
esrj-38712	33	6	determining	determine	VERB
esrj-38712	33	7	ultimate	ultimate	ADJ
esrj-38712	33	8	bearing	bearing	NOUN
esrj-38712	33	9	capacity	capacity	NOUN
esrj-38712	33	10	of	of	ADP
esrj-38712	33	11	piles	pile	NOUN
esrj-38712	33	12	,	,	PUNCT
esrj-38712	33	13	obtaining	obtain	VERB
esrj-38712	33	14	the	the	DET
esrj-38712	33	15	pile	pile	ADJ
esrj-38712	33	16	shaft	shaft	NOUN
esrj-38712	33	17	capacity	capacity	NOUN
esrj-38712	33	18	is	be	AUX
esrj-38712	33	19	also	also	ADV
esrj-38712	33	20	of	of	ADP
esrj-38712	33	21	advantage	advantage	NOUN
esrj-38712	33	22	(	(	PUNCT
esrj-38712	33	23	nazir	nazir	PROPN
esrj-38712	33	24	et	et	PROPN
esrj-38712	33	25	al	al	PROPN
esrj-38712	33	26	,	,	PUNCT
esrj-38712	33	27	2013	2013	NUM
esrj-38712	33	28	)	)	PUNCT
esrj-38712	33	29	.	.	PUNCT
esrj-38712	34	1	there	there	PRON
esrj-38712	34	2	are	be	VERB
esrj-38712	34	3	numerous	numerous	ADJ
esrj-38712	34	4	methods	method	NOUN
esrj-38712	34	5	for	for	ADP
esrj-38712	34	6	assessing	assess	VERB
esrj-38712	34	7	pile	pile	ADJ
esrj-38712	34	8	bearing	bearing	NOUN
esrj-38712	34	9	capacity	capacity	NOUN
esrj-38712	34	10	and	and	CCONJ
esrj-38712	34	11	its	its	PRON
esrj-38712	34	12	distribution	distribution	NOUN
esrj-38712	34	13	.	.	PUNCT
esrj-38712	35	1	although	although	SCONJ
esrj-38712	35	2	many	many	ADJ
esrj-38712	35	3	attempts	attempt	NOUN
esrj-38712	35	4	have	have	AUX
esrj-38712	35	5	been	be	AUX
esrj-38712	35	6	made	make	VERB
esrj-38712	35	7	to	to	PART
esrj-38712	35	8	develop	develop	VERB
esrj-38712	35	9	analytical	analytical	ADJ
esrj-38712	35	10	or	or	CCONJ
esrj-38712	35	11	empirical	empirical	ADJ
esrj-38712	35	12	methods	method	NOUN
esrj-38712	35	13	for	for	ADP
esrj-38712	35	14	pile	pile	ADJ
esrj-38712	35	15	bearing	bearing	NOUN
esrj-38712	35	16	capacity	capacity	NOUN
esrj-38712	35	17	estimation	estimation	NOUN
esrj-38712	35	18	(	(	PUNCT
esrj-38712	35	19	e.g.	e.g.	ADV
esrj-38712	35	20	meyerhof	meyerhof	ADJ
esrj-38712	35	21	,	,	PUNCT
esrj-38712	35	22	1976	1976	NUM
esrj-38712	35	23	;	;	PUNCT
esrj-38712	35	24	vesic	vesic	NOUN
esrj-38712	35	25	,	,	PUNCT
esrj-38712	35	26	1977	1977	NUM
esrj-38712	35	27	;	;	PUNCT
esrj-38712	35	28	coyle	coyle	NOUN
esrj-38712	35	29	and	and	CCONJ
esrj-38712	35	30	castello	castello	NOUN
esrj-38712	35	31	,	,	PUNCT
esrj-38712	35	32	1981	1981	NUM
esrj-38712	35	33	)	)	PUNCT
esrj-38712	35	34	,	,	PUNCT
esrj-38712	35	35	most	most	ADJ
esrj-38712	35	36	of	of	ADP
esrj-38712	35	37	these	these	DET
esrj-38712	35	38	methods	method	NOUN
esrj-38712	35	39	rely	rely	VERB
esrj-38712	35	40	on	on	ADP
esrj-38712	35	41	empiricism	empiricism	NOUN
esrj-38712	35	42	and	and	CCONJ
esrj-38712	35	43	they	they	PRON
esrj-38712	35	44	are	be	AUX
esrj-38712	35	45	site	site	NOUN
esrj-38712	35	46	specific	specific	ADJ
esrj-38712	35	47	(	(	PUNCT
esrj-38712	35	48	randolph	randolph	PROPN
esrj-38712	35	49	,	,	PUNCT
esrj-38712	35	50	2003	2003	NUM
esrj-38712	35	51	)	)	PUNCT
esrj-38712	35	52	.	.	PUNCT
esrj-38712	36	1	the	the	DET
esrj-38712	36	2	most	most	ADV
esrj-38712	36	3	direct	direct	ADJ
esrj-38712	36	4	way	way	NOUN
esrj-38712	36	5	for	for	ADP
esrj-38712	36	6	determining	determine	VERB
esrj-38712	36	7	the	the	DET
esrj-38712	36	8	axial	axial	ADJ
esrj-38712	36	9	bearing	bearing	NOUN
esrj-38712	36	10	capacity	capacity	NOUN
esrj-38712	36	11	of	of	ADP
esrj-38712	36	12	piles	pile	NOUN
esrj-38712	36	13	is	be	AUX
esrj-38712	36	14	static	static	ADJ
esrj-38712	36	15	load	load	NOUN
esrj-38712	36	16	test	test	NOUN
esrj-38712	36	17	(	(	PUNCT
esrj-38712	36	18	slt	slt	PROPN
esrj-38712	36	19	)	)	PUNCT
esrj-38712	36	20	.	.	PUNCT
esrj-38712	37	1	the	the	DET
esrj-38712	37	2	test	test	NOUN
esrj-38712	37	3	is	be	AUX
esrj-38712	37	4	standardized	standardize	VERB
esrj-38712	37	5	by	by	ADP
esrj-38712	37	6	american	american	ADJ
esrj-38712	37	7	standards	standard	NOUN
esrj-38712	37	8	test	test	NOUN
esrj-38712	37	9	methods	method	NOUN
esrj-38712	37	10	(	(	PUNCT
esrj-38712	37	11	astm	astm	PROPN
esrj-38712	37	12	d114307	d114307	PROPN
esrj-38712	37	13	)	)	PUNCT
esrj-38712	37	14	.	.	PUNCT
esrj-38712	38	1	however	however	ADV
esrj-38712	38	2	,	,	PUNCT
esrj-38712	38	3	conducting	conduct	VERB
esrj-38712	38	4	slt	slt	PROPN
esrj-38712	38	5	is	be	AUX
esrj-38712	38	6	time	time	NOUN
esrj-38712	38	7	consuming	consume	VERB
esrj-38712	38	8	,	,	PUNCT
esrj-38712	38	9	expensive	expensive	ADJ
esrj-38712	38	10	and	and	CCONJ
esrj-38712	38	11	difficult	difficult	ADJ
esrj-38712	38	12	(	(	PUNCT
esrj-38712	38	13	likins	likin	NOUN
esrj-38712	38	14	and	and	CCONJ
esrj-38712	38	15	rausche	rausche	NOUN
esrj-38712	38	16	,	,	PUNCT
esrj-38712	38	17	2004	2004	NUM
esrj-38712	38	18	)	)	PUNCT
esrj-38712	38	19	.	.	PUNCT
esrj-38712	39	1	high	high	ADJ
esrj-38712	39	2	strain	strain	VERB
esrj-38712	39	3	dynamic	dynamic	ADJ
esrj-38712	39	4	testing	testing	NOUN
esrj-38712	39	5	(	(	PUNCT
esrj-38712	39	6	hsdt	hsdt	NOUN
esrj-38712	39	7	)	)	PUNCT
esrj-38712	39	8	of	of	ADP
esrj-38712	39	9	piles	pile	NOUN
esrj-38712	39	10	is	be	AUX
esrj-38712	39	11	a	a	DET
esrj-38712	39	12	current	current	ADJ
esrj-38712	39	13	approach	approach	NOUN
esrj-38712	39	14	for	for	ADP
esrj-38712	39	15	predicting	predict	VERB
esrj-38712	39	16	the	the	DET
esrj-38712	39	17	abc	abc	PROPN
esrj-38712	39	18	of	of	ADP
esrj-38712	39	19	piles	pile	NOUN
esrj-38712	39	20	and	and	CCONJ
esrj-38712	39	21	its	its	PRON
esrj-38712	39	22	distribution	distribution	NOUN
esrj-38712	39	23	.	.	PUNCT
esrj-38712	40	1	hsdt	hsdt	NOUN
esrj-38712	40	2	is	be	AUX
esrj-38712	40	3	based	base	VERB
esrj-38712	40	4	on	on	ADP
esrj-38712	40	5	one	one	NUM
esrj-38712	40	6	dimensional	dimensional	ADJ
esrj-38712	40	7	wave	wave	NOUN
esrj-38712	40	8	propagation	propagation	NOUN
esrj-38712	40	9	theory	theory	NOUN
esrj-38712	40	10	and	and	CCONJ
esrj-38712	40	11	is	be	AUX
esrj-38712	40	12	performed	perform	VERB
esrj-38712	40	13	by	by	ADP
esrj-38712	40	14	using	use	VERB
esrj-38712	40	15	a	a	DET
esrj-38712	40	16	pile	pile	ADJ
esrj-38712	40	17	driving	drive	VERB
esrj-38712	40	18	analyzer	analyzer	NOUN
esrj-38712	40	19	(	(	PUNCT
esrj-38712	40	20	pda	pda	NOUN
esrj-38712	40	21	)	)	PUNCT
esrj-38712	40	22	.	.	PUNCT
esrj-38712	41	1	in	in	ADP
esrj-38712	41	2	essence	essence	NOUN
esrj-38712	41	3	,	,	PUNCT
esrj-38712	41	4	in	in	ADP
esrj-38712	41	5	hsdt	hsdt	NOUN
esrj-38712	41	6	,	,	PUNCT
esrj-38712	41	7	a	a	DET
esrj-38712	41	8	pile	pile	NOUN
esrj-38712	41	9	is	be	AUX
esrj-38712	41	10	hit	hit	VERB
esrj-38712	41	11	by	by	ADP
esrj-38712	41	12	a	a	DET
esrj-38712	41	13	hammer	hammer	NOUN
esrj-38712	41	14	while	while	SCONJ
esrj-38712	41	15	pda	pda	NOUN
esrj-38712	41	16	monitors	monitor	NOUN
esrj-38712	41	17	and	and	CCONJ
esrj-38712	41	18	records	record	VERB
esrj-38712	41	19	the	the	DET
esrj-38712	41	20	necessary	necessary	ADJ
esrj-38712	41	21	data	datum	NOUN
esrj-38712	41	22	for	for	ADP
esrj-38712	41	23	implementing	implement	VERB
esrj-38712	41	24	wave	wave	NOUN
esrj-38712	41	25	equation	equation	NOUN
esrj-38712	41	26	analysis	analysis	NOUN
esrj-38712	41	27	.	.	PUNCT
esrj-38712	42	1	consequently	consequently	ADV
esrj-38712	42	2	,	,	PUNCT
esrj-38712	42	3	through	through	ADP
esrj-38712	42	4	an	an	DET
esrj-38712	42	5	iterative	iterative	NOUN
esrj-38712	42	6	procedure	procedure	NOUN
esrj-38712	42	7	using	use	VERB
esrj-38712	42	8	capwap	capwap	ADJ
esrj-38712	42	9	software	software	NOUN
esrj-38712	42	10	,	,	PUNCT
esrj-38712	42	11	the	the	DET
esrj-38712	42	12	pile	pile	ADJ
esrj-38712	42	13	bearing	bearing	NOUN
esrj-38712	42	14	capacity	capacity	NOUN
esrj-38712	42	15	and	and	CCONJ
esrj-38712	42	16	its	its	PRON
esrj-38712	42	17	distribution	distribution	NOUN
esrj-38712	42	18	can	can	AUX
esrj-38712	42	19	be	be	AUX
esrj-38712	42	20	predicted	predict	VERB
esrj-38712	42	21	.	.	PUNCT
esrj-38712	43	1	the	the	DET
esrj-38712	43	2	hsdt	hsdt	NOUN
esrj-38712	43	3	procedure	procedure	NOUN
esrj-38712	43	4	is	be	AUX
esrj-38712	43	5	standardized	standardize	VERB
esrj-38712	43	6	by	by	ADP
esrj-38712	43	7	astm	astm	PROPN
esrj-38712	43	8	(	(	PUNCT
esrj-38712	43	9	astm	astm	PROPN
esrj-38712	43	10	d4945	d4945	PROPN
esrj-38712	43	11	-	-	PUNCT
esrj-38712	43	12	08	08	NUM
esrj-38712	43	13	)	)	PUNCT
esrj-38712	43	14	.	.	PUNCT
esrj-38712	44	1	utilization	utilization	NOUN
esrj-38712	44	2	of	of	ADP
esrj-38712	44	3	artificial	artificial	ADJ
esrj-38712	44	4	neural	neural	ADJ
esrj-38712	44	5	network	network	NOUN
esrj-38712	44	6	(	(	PUNCT
esrj-38712	44	7	ann	ann	PROPN
esrj-38712	44	8	)	)	PUNCT
esrj-38712	44	9	in	in	ADP
esrj-38712	44	10	civil	civil	ADJ
esrj-38712	44	11	engineering	engineering	NOUN
esrj-38712	44	12	has	have	AUX
esrj-38712	44	13	recently	recently	ADV
esrj-38712	44	14	drawn	draw	VERB
esrj-38712	44	15	considerable	considerable	ADJ
esrj-38712	44	16	attention	attention	NOUN
esrj-38712	44	17	.	.	PUNCT
esrj-38712	45	1	it	it	PRON
esrj-38712	45	2	is	be	AUX
esrj-38712	45	3	generally	generally	ADV
esrj-38712	45	4	attributed	attribute	VERB
esrj-38712	45	5	to	to	ADP
esrj-38712	45	6	the	the	DET
esrj-38712	45	7	ann	ann	PROPN
esrj-38712	45	8	power	power	NOUN
esrj-38712	45	9	in	in	ADP
esrj-38712	45	10	finding	find	VERB
esrj-38712	45	11	complex	complex	ADJ
esrj-38712	45	12	relationship	relationship	NOUN
esrj-38712	45	13	between	between	ADP
esrj-38712	45	14	different	different	ADJ
esrj-38712	45	15	parameters	parameter	NOUN
esrj-38712	45	16	when	when	SCONJ
esrj-38712	45	17	the	the	DET
esrj-38712	45	18	contact	contact	NOUN
esrj-38712	45	19	nature	nature	NOUN
esrj-38712	45	20	between	between	ADP
esrj-38712	45	21	them	they	PRON
esrj-38712	45	22	is	be	AUX
esrj-38712	45	23	unknown	unknown	ADJ
esrj-38712	45	24	(	(	PUNCT
esrj-38712	45	25	garret	garret	NOUN
esrj-38712	45	26	,	,	PUNCT
esrj-38712	45	27	1994	1994	NUM
esrj-38712	45	28	)	)	PUNCT
esrj-38712	45	29	.	.	PUNCT
esrj-38712	46	1	although	although	SCONJ
esrj-38712	46	2	many	many	ADJ
esrj-38712	46	3	researchers	researcher	NOUN
esrj-38712	46	4	have	have	AUX
esrj-38712	46	5	attempted	attempt	VERB
esrj-38712	46	6	to	to	PART
esrj-38712	46	7	show	show	VERB
esrj-38712	46	8	the	the	DET
esrj-38712	46	9	superiority	superiority	NOUN
esrj-38712	46	10	of	of	ADP
esrj-38712	46	11	ann	ann	PROPN
esrj-38712	46	12	in	in	ADP
esrj-38712	46	13	predicting	predict	VERB
esrj-38712	46	14	the	the	DET
esrj-38712	46	15	bearing	bearing	NOUN
esrj-38712	46	16	capacity	capacity	NOUN
esrj-38712	46	17	problems	problem	NOUN
esrj-38712	46	18	,	,	PUNCT
esrj-38712	46	19	most	most	ADJ
esrj-38712	46	20	of	of	ADP
esrj-38712	46	21	them	they	PRON
esrj-38712	46	22	focused	focus	VERB
esrj-38712	46	23	on	on	ADP
esrj-38712	46	24	the	the	DET
esrj-38712	46	25	prediction	prediction	NOUN
esrj-38712	46	26	of	of	ADP
esrj-38712	46	27	ultimate	ultimate	ADJ
esrj-38712	46	28	bearing	bearing	NOUN
esrj-38712	46	29	capacity	capacity	NOUN
esrj-38712	46	30	of	of	ADP
esrj-38712	46	31	piles	pile	NOUN
esrj-38712	46	32	rather	rather	ADV
esrj-38712	46	33	than	than	ADP
esrj-38712	46	34	its	its	PRON
esrj-38712	46	35	separate	separate	ADJ
esrj-38712	46	36	shaft	shaft	NOUN
esrj-38712	46	37	and	and	CCONJ
esrj-38712	46	38	tip	tip	NOUN
esrj-38712	46	39	resistances	resistance	NOUN
esrj-38712	46	40	(	(	PUNCT
esrj-38712	46	41	goh	goh	PROPN
esrj-38712	46	42	,	,	PUNCT
esrj-38712	46	43	1995	1995	NUM
esrj-38712	46	44	;	;	PUNCT
esrj-38712	46	45	goh	goh	PROPN
esrj-38712	46	46	,	,	PUNCT
esrj-38712	46	47	1996	1996	NUM
esrj-38712	46	48	)	)	PUNCT
esrj-38712	46	49	.	.	PUNCT
esrj-38712	47	1	the	the	DET
esrj-38712	47	2	main	main	ADJ
esrj-38712	47	3	objective	objective	NOUN
esrj-38712	47	4	of	of	ADP
esrj-38712	47	5	this	this	DET
esrj-38712	47	6	study	study	NOUN
esrj-38712	47	7	is	be	AUX
esrj-38712	47	8	to	to	PART
esrj-38712	47	9	propose	propose	VERB
esrj-38712	47	10	an	an	DET
esrj-38712	47	11	ann	ann	PROPN
esrj-38712	47	12	-	-	PUNCT
esrj-38712	47	13	based	base	VERB
esrj-38712	47	14	predictive	predictive	ADJ
esrj-38712	47	15	model	model	NOUN
esrj-38712	47	16	of	of	ADP
esrj-38712	47	17	bearing	bear	VERB
esrj-38712	47	18	capacity	capacity	NOUN
esrj-38712	47	19	using	use	VERB
esrj-38712	47	20	real	real	ADJ
esrj-38712	47	21	pda	pda	NOUN
esrj-38712	47	22	and	and	CCONJ
esrj-38712	47	23	site	site	NOUN
esrj-38712	47	24	investigation	investigation	NOUN
esrj-38712	47	25	data	datum	NOUN
esrj-38712	47	26	.	.	PUNCT
esrj-38712	48	1	the	the	DET
esrj-38712	48	2	predictive	predictive	ADJ
esrj-38712	48	3	model	model	NOUN
esrj-38712	48	4	is	be	AUX
esrj-38712	48	5	built	build	VERB
esrj-38712	48	6	for	for	ADP
esrj-38712	48	7	predicting	predict	VERB
esrj-38712	48	8	shaft	shaft	NOUN
esrj-38712	48	9	,	,	PUNCT
esrj-38712	48	10	tip	tip	NOUN
esrj-38712	48	11	and	and	CCONJ
esrj-38712	48	12	ultimate	ultimate	ADJ
esrj-38712	48	13	resistances	resistance	NOUN
esrj-38712	48	14	(	(	PUNCT
esrj-38712	48	15	qs	qs	NOUN
esrj-38712	48	16	,	,	PUNCT
esrj-38712	48	17	qp	qp	NOUN
esrj-38712	48	18	and	and	CCONJ
esrj-38712	48	19	qu	qu	PROPN
esrj-38712	48	20	)	)	PUNCT
esrj-38712	48	21	of	of	ADP
esrj-38712	48	22	piles	pile	NOUN
esrj-38712	48	23	.	.	PUNCT
esrj-38712	49	1	nevertheless	nevertheless	ADV
esrj-38712	49	2	,	,	PUNCT
esrj-38712	49	3	it	it	PRON
esrj-38712	49	4	is	be	AUX
esrj-38712	49	5	worth	worth	ADJ
esrj-38712	49	6	mentioning	mention	VERB
esrj-38712	49	7	that	that	SCONJ
esrj-38712	49	8	this	this	DET
esrj-38712	49	9	study	study	NOUN
esrj-38712	49	10	uses	use	VERB
esrj-38712	49	11	the	the	DET
esrj-38712	49	12	capwap	capwap	PROPN
esrj-38712	49	13	predicted	predict	VERB
esrj-38712	49	14	pile	pile	ADJ
esrj-38712	49	15	bearing	bearing	NOUN
esrj-38712	49	16	capacity	capacity	NOUN
esrj-38712	49	17	rather	rather	ADV
esrj-38712	49	18	than	than	ADP
esrj-38712	49	19	the	the	DET
esrj-38712	49	20	determined	determined	ADJ
esrj-38712	49	21	bearing	bearing	NOUN
esrj-38712	49	22	capacity	capacity	NOUN
esrj-38712	49	23	of	of	ADP
esrj-38712	49	24	piles	pile	NOUN
esrj-38712	49	25	through	through	ADP
esrj-38712	49	26	slt	slt	NOUN
esrj-38712	49	27	.	.	PUNCT
esrj-38712	50	1	there	there	PRON
esrj-38712	50	2	are	be	VERB
esrj-38712	50	3	several	several	ADJ
esrj-38712	50	4	published	publish	VERB
esrj-38712	50	5	works	work	NOUN
esrj-38712	50	6	concerning	concern	VERB
esrj-38712	50	7	utilization	utilization	NOUN
esrj-38712	50	8	of	of	ADP
esrj-38712	50	9	artificial	artificial	ADJ
esrj-38712	50	10	intelligence	intelligence	NOUN
esrj-38712	50	11	techniques	technique	NOUN
esrj-38712	50	12	for	for	ADP
esrj-38712	50	13	predicting	predict	VERB
esrj-38712	50	14	abc	abc	PROPN
esrj-38712	50	15	of	of	ADP
esrj-38712	50	16	piles	pile	NOUN
esrj-38712	50	17	(	(	PUNCT
esrj-38712	50	18	chan	chan	X
esrj-38712	50	19	et	et	PROPN
esrj-38712	50	20	al	al	PROPN
esrj-38712	50	21	.	.	PROPN
esrj-38712	50	22	1995	1995	NUM
esrj-38712	50	23	;	;	PUNCT
esrj-38712	50	24	chow	chow	PROPN
esrj-38712	50	25	et	et	PROPN
esrj-38712	50	26	al	al	PROPN
esrj-38712	50	27	.	.	PROPN
esrj-38712	50	28	1995	1995	NUM
esrj-38712	50	29	;	;	PUNCT
esrj-38712	50	30	abu	abu	PROPN
esrj-38712	50	31	-	-	PUNCT
esrj-38712	50	32	kiefa	kiefa	PROPN
esrj-38712	50	33	,	,	PUNCT
esrj-38712	50	34	1998	1998	NUM
esrj-38712	50	35	;	;	PUNCT
esrj-38712	50	36	shahin	shahin	PROPN
esrj-38712	50	37	,	,	PUNCT
esrj-38712	50	38	2001	2001	NUM
esrj-38712	50	39	;	;	PUNCT
esrj-38712	50	40	lok	lok	PROPN
esrj-38712	50	41	and	and	CCONJ
esrj-38712	50	42	che	che	PROPN
esrj-38712	50	43	,	,	PUNCT
esrj-38712	50	44	2004	2004	NUM
esrj-38712	50	45	;	;	PUNCT
esrj-38712	50	46	das	das	PROPN
esrj-38712	50	47	and	and	CCONJ
esrj-38712	50	48	basudhar	basudhar	PROPN
esrj-38712	50	49	,	,	PUNCT
esrj-38712	50	50	2006	2006	NUM
esrj-38712	50	51	;	;	PUNCT
esrj-38712	50	52	ardalan	ardalan	PROPN
esrj-38712	50	53	et	et	PROPN
esrj-38712	50	54	al	al	PROPN
esrj-38712	50	55	.	.	PROPN
esrj-38712	50	56	2009	2009	NUM
esrj-38712	50	57	;	;	PUNCT
esrj-38712	50	58	shahin	shahin	PROPN
esrj-38712	50	59	,	,	PUNCT
esrj-38712	50	60	2008	2008	NUM
esrj-38712	50	61	;	;	PUNCT
esrj-38712	50	62	shahin	shahin	PROPN
esrj-38712	50	63	,	,	PUNCT
esrj-38712	50	64	2010	2010	NUM
esrj-38712	50	65	;	;	PUNCT
esrj-38712	50	66	adarsh	adarsh	PROPN
esrj-38712	50	67	et	et	PROPN
esrj-38712	50	68	al	al	PROPN
esrj-38712	50	69	.	.	PROPN
esrj-38712	50	70	2012	2012	NUM
esrj-38712	50	71	;	;	PUNCT
esrj-38712	50	72	alkroosh	alkroosh	ADJ
esrj-38712	50	73	and	and	CCONJ
esrj-38712	50	74	nikraz	nikraz	NOUN
esrj-38712	50	75	,	,	PUNCT
esrj-38712	50	76	2012	2012	NUM
esrj-38712	50	77	)	)	PUNCT
esrj-38712	50	78	.	.	PUNCT
esrj-38712	51	1	among	among	ADP
esrj-38712	51	2	researchers	researcher	NOUN
esrj-38712	51	3	who	who	PRON
esrj-38712	51	4	have	have	AUX
esrj-38712	51	5	addressed	address	VERB
esrj-38712	51	6	anns	anns	NOUN
esrj-38712	51	7	for	for	ADP
esrj-38712	51	8	predicting	predict	VERB
esrj-38712	51	9	bearing	bearing	NOUN
esrj-38712	51	10	capacity	capacity	NOUN
esrj-38712	51	11	of	of	ADP
esrj-38712	51	12	pile	pile	ADJ
esrj-38712	51	13	foundations	foundation	NOUN
esrj-38712	51	14	,	,	PUNCT
esrj-38712	51	15	goh	goh	PROPN
esrj-38712	51	16	(	(	PUNCT
esrj-38712	51	17	1995	1995	NUM
esrj-38712	51	18	;	;	PUNCT
esrj-38712	51	19	1996	1996	NUM
esrj-38712	51	20	)	)	PUNCT
esrj-38712	51	21	developed	develop	VERB
esrj-38712	51	22	an	an	DET
esrj-38712	51	23	ann	ann	PROPN
esrj-38712	51	24	-	-	PUNCT
esrj-38712	51	25	based	base	VERB
esrj-38712	51	26	predictive	predictive	ADJ
esrj-38712	51	27	model	model	NOUN
esrj-38712	51	28	to	to	PART
esrj-38712	51	29	estimate	estimate	VERB
esrj-38712	51	30	the	the	DET
esrj-38712	51	31	ultimate	ultimate	ADJ
esrj-38712	51	32	load	load	NOUN
esrj-38712	51	33	capacity	capacity	NOUN
esrj-38712	51	34	of	of	ADP
esrj-38712	51	35	driven	drive	VERB
esrj-38712	51	36	piles	pile	NOUN
esrj-38712	51	37	in	in	ADP
esrj-38712	51	38	sandy	sandy	ADJ
esrj-38712	51	39	soils	soil	NOUN
esrj-38712	51	40	.	.	PUNCT
esrj-38712	52	1	his	his	PRON
esrj-38712	52	2	findings	finding	NOUN
esrj-38712	52	3	suggest	suggest	VERB
esrj-38712	52	4	that	that	SCONJ
esrj-38712	52	5	compared	compare	VERB
esrj-38712	52	6	to	to	ADP
esrj-38712	52	7	conventional	conventional	ADJ
esrj-38712	52	8	methods	method	NOUN
esrj-38712	52	9	of	of	ADP
esrj-38712	52	10	pile	pile	ADJ
esrj-38712	52	11	bearing	bearing	NOUN
esrj-38712	52	12	capacity	capacity	NOUN
esrj-38712	52	13	estimation	estimation	NOUN
esrj-38712	52	14	,	,	PUNCT
esrj-38712	52	15	ann	ann	PROPN
esrj-38712	52	16	-	-	PUNCT
esrj-38712	52	17	based	base	VERB
esrj-38712	52	18	predictive	predictive	ADJ
esrj-38712	52	19	model	model	NOUN
esrj-38712	52	20	works	work	VERB
esrj-38712	52	21	better	well	ADV
esrj-38712	52	22	.	.	PUNCT
esrj-38712	53	1	in	in	ADP
esrj-38712	53	2	another	another	DET
esrj-38712	53	3	study	study	NOUN
esrj-38712	53	4	,	,	PUNCT
esrj-38712	53	5	lee	lee	PROPN
esrj-38712	53	6	and	and	CCONJ
esrj-38712	53	7	lee	lee	PROPN
esrj-38712	53	8	(	(	PUNCT
esrj-38712	53	9	1995	1995	NUM
esrj-38712	53	10	)	)	PUNCT
esrj-38712	53	11	employed	employ	VERB
esrj-38712	53	12	ann	ann	PROPN
esrj-38712	53	13	for	for	ADP
esrj-38712	53	14	estimation	estimation	NOUN
esrj-38712	53	15	of	of	ADP
esrj-38712	53	16	pile	pile	ADJ
esrj-38712	53	17	bearing	bearing	NOUN
esrj-38712	53	18	capacity	capacity	NOUN
esrj-38712	53	19	.	.	PUNCT
esrj-38712	54	1	their	their	PRON
esrj-38712	54	2	study	study	NOUN
esrj-38712	54	3	focused	focus	VERB
esrj-38712	54	4	on	on	ADP
esrj-38712	54	5	small	small	ADJ
esrj-38712	54	6	scale	scale	NOUN
esrj-38712	54	7	laboratory	laboratory	NOUN
esrj-38712	54	8	tests	test	NOUN
esrj-38712	54	9	where	where	SCONJ
esrj-38712	54	10	the	the	DET
esrj-38712	54	11	horizontal	horizontal	ADJ
esrj-38712	54	12	and	and	CCONJ
esrj-38712	54	13	vertical	vertical	ADJ
esrj-38712	54	14	chamber	chamber	NOUN
esrj-38712	54	15	pressure	pressure	NOUN
esrj-38712	54	16	,	,	PUNCT
esrj-38712	54	17	the	the	DET
esrj-38712	54	18	number	number	NOUN
esrj-38712	54	19	of	of	ADP
esrj-38712	54	20	hammer	hammer	NOUN
esrj-38712	54	21	blows	blow	NOUN
esrj-38712	54	22	,	,	PUNCT
esrj-38712	54	23	pile	pile	ADJ
esrj-38712	54	24	penetration	penetration	NOUN
esrj-38712	54	25	depth	depth	NOUN
esrj-38712	54	26	ratio	ratio	NOUN
esrj-38712	54	27	,	,	PUNCT
esrj-38712	54	28	and	and	CCONJ
esrj-38712	54	29	mean	mean	VERB
esrj-38712	54	30	normal	normal	ADJ
esrj-38712	54	31	stress	stress	NOUN
esrj-38712	54	32	of	of	ADP
esrj-38712	54	33	the	the	DET
esrj-38712	54	34	soil	soil	NOUN
esrj-38712	54	35	were	be	AUX
esrj-38712	54	36	set	set	VERB
esrj-38712	54	37	as	as	ADP
esrj-38712	54	38	inputs	input	NOUN
esrj-38712	54	39	of	of	ADP
esrj-38712	54	40	the	the	DET
esrj-38712	54	41	network	network	NOUN
esrj-38712	54	42	model	model	NOUN
esrj-38712	54	43	while	while	SCONJ
esrj-38712	54	44	the	the	DET
esrj-38712	54	45	ultimate	ultimate	ADJ
esrj-38712	54	46	bearing	bearing	NOUN
esrj-38712	54	47	capacity	capacity	NOUN
esrj-38712	54	48	was	be	AUX
esrj-38712	54	49	selected	select	VERB
esrj-38712	54	50	as	as	ADP
esrj-38712	54	51	the	the	DET
esrj-38712	54	52	model	model	NOUN
esrj-38712	54	53	output	output	NOUN
esrj-38712	54	54	.	.	PUNCT
esrj-38712	55	1	according	accord	VERB
esrj-38712	55	2	to	to	ADP
esrj-38712	55	3	their	their	PRON
esrj-38712	55	4	conclusion	conclusion	NOUN
esrj-38712	55	5	,	,	PUNCT
esrj-38712	55	6	ann	ann	PROPN
esrj-38712	55	7	can	can	AUX
esrj-38712	55	8	provide	provide	VERB
esrj-38712	55	9	good	good	ADJ
esrj-38712	55	10	prediction	prediction	NOUN
esrj-38712	55	11	performance	performance	NOUN
esrj-38712	55	12	in	in	ADP
esrj-38712	55	13	bearing	bear	VERB
esrj-38712	55	14	capacity	capacity	NOUN
esrj-38712	55	15	problems	problem	NOUN
esrj-38712	55	16	.	.	PUNCT
esrj-38712	56	1	teh	teh	NOUN
esrj-38712	56	2	et	et	PROPN
esrj-38712	56	3	al	al	PROPN
esrj-38712	56	4	.	.	PROPN
esrj-38712	57	1	(	(	PUNCT
esrj-38712	57	2	1997	1997	NUM
esrj-38712	57	3	)	)	PUNCT
esrj-38712	57	4	also	also	ADV
esrj-38712	57	5	addressed	address	VERB
esrj-38712	57	6	the	the	DET
esrj-38712	57	7	workability	workability	NOUN
esrj-38712	57	8	of	of	ADP
esrj-38712	57	9	neural	neural	ADJ
esrj-38712	57	10	network	network	NOUN
esrj-38712	57	11	for	for	ADP
esrj-38712	57	12	predicting	predict	VERB
esrj-38712	57	13	the	the	DET
esrj-38712	57	14	pile	pile	ADJ
esrj-38712	57	15	bearing	bearing	NOUN
esrj-38712	57	16	capacity	capacity	NOUN
esrj-38712	57	17	.	.	PUNCT
esrj-38712	58	1	abu	abu	PROPN
esrj-38712	58	2	-	-	PUNCT
esrj-38712	58	3	kiefa	kiefa	PROPN
esrj-38712	58	4	(	(	PUNCT
esrj-38712	58	5	1998	1998	NUM
esrj-38712	58	6	)	)	PUNCT
esrj-38712	58	7	implemented	implement	VERB
esrj-38712	58	8	ann	ann	PROPN
esrj-38712	58	9	to	to	PART
esrj-38712	58	10	predict	predict	VERB
esrj-38712	58	11	the	the	DET
esrj-38712	58	12	abc	abc	PROPN
esrj-38712	58	13	of	of	ADP
esrj-38712	58	14	driven	drive	VERB
esrj-38712	58	15	piles	pile	NOUN
esrj-38712	58	16	in	in	ADP
esrj-38712	58	17	cohesionless	cohesionless	NOUN
esrj-38712	58	18	soils	soil	NOUN
esrj-38712	58	19	.	.	PUNCT
esrj-38712	59	1	for	for	ADP
esrj-38712	59	2	network	network	NOUN
esrj-38712	59	3	construction	construction	NOUN
esrj-38712	59	4	purpose	purpose	NOUN
esrj-38712	59	5	,	,	PUNCT
esrj-38712	59	6	he	he	PRON
esrj-38712	59	7	compiled	compile	VERB
esrj-38712	59	8	the	the	DET
esrj-38712	59	9	data	datum	NOUN
esrj-38712	59	10	of	of	ADP
esrj-38712	59	11	59	59	NUM
esrj-38712	59	12	recorded	record	VERB
esrj-38712	59	13	cases	case	NOUN
esrj-38712	59	14	of	of	ADP
esrj-38712	59	15	good	good	ADJ
esrj-38712	59	16	-	-	PUNCT
esrj-38712	59	17	quality	quality	NOUN
esrj-38712	59	18	pile	pile	NOUN
esrj-38712	59	19	load	load	NOUN
esrj-38712	59	20	tests	test	NOUN
esrj-38712	59	21	.	.	PUNCT
esrj-38712	60	1	in	in	ADP
esrj-38712	60	2	his	his	PRON
esrj-38712	60	3	study	study	NOUN
esrj-38712	60	4	,	,	PUNCT
esrj-38712	60	5	friction	friction	NOUN
esrj-38712	60	6	angles	angle	NOUN
esrj-38712	60	7	of	of	ADP
esrj-38712	60	8	the	the	DET
esrj-38712	60	9	soil	soil	NOUN
esrj-38712	60	10	,	,	PUNCT
esrj-38712	60	11	the	the	DET
esrj-38712	60	12	effective	effective	ADJ
esrj-38712	60	13	overburden	overburden	ADJ
esrj-38712	60	14	pressure	pressure	NOUN
esrj-38712	60	15	around	around	ADP
esrj-38712	60	16	the	the	DET
esrj-38712	60	17	tip	tip	NOUN
esrj-38712	60	18	of	of	ADP
esrj-38712	60	19	the	the	DET
esrj-38712	60	20	pile	pile	NOUN
esrj-38712	60	21	,	,	PUNCT
esrj-38712	60	22	the	the	DET
esrj-38712	60	23	length	length	NOUN
esrj-38712	60	24	of	of	ADP
esrj-38712	60	25	the	the	DET
esrj-38712	60	26	pile	pile	NOUN
esrj-38712	60	27	and	and	CCONJ
esrj-38712	60	28	its	its	PRON
esrj-38712	60	29	equivalent	equivalent	ADJ
esrj-38712	60	30	cross	cross	ADJ
esrj-38712	60	31	-	-	ADJ
esrj-38712	60	32	sectional	sectional	ADJ
esrj-38712	60	33	area	area	NOUN
esrj-38712	60	34	were	be	AUX
esrj-38712	60	35	considered	consider	VERB
esrj-38712	60	36	as	as	ADP
esrj-38712	60	37	input	input	NOUN
esrj-38712	60	38	layers	layer	NOUN
esrj-38712	60	39	of	of	ADP
esrj-38712	60	40	the	the	DET
esrj-38712	60	41	ann	ann	PROPN
esrj-38712	60	42	model	model	NOUN
esrj-38712	60	43	.	.	PUNCT
esrj-38712	61	1	his	his	PRON
esrj-38712	61	2	conclusion	conclusion	NOUN
esrj-38712	61	3	showed	show	VERB
esrj-38712	61	4	the	the	DET
esrj-38712	61	5	feasibility	feasibility	NOUN
esrj-38712	61	6	of	of	ADP
esrj-38712	61	7	ann	ann	PROPN
esrj-38712	61	8	for	for	ADP
esrj-38712	61	9	predicting	predict	VERB
esrj-38712	61	10	shaft	shaft	NOUN
esrj-38712	61	11	and	and	CCONJ
esrj-38712	61	12	tip	tip	NOUN
esrj-38712	61	13	resistances	resistance	NOUN
esrj-38712	61	14	of	of	ADP
esrj-38712	61	15	piles	pile	NOUN
esrj-38712	61	16	.	.	PUNCT
esrj-38712	62	1	however	however	ADV
esrj-38712	62	2	,	,	PUNCT
esrj-38712	62	3	among	among	ADP
esrj-38712	62	4	more	more	ADJ
esrj-38712	62	5	recent	recent	ADJ
esrj-38712	62	6	studies	study	NOUN
esrj-38712	62	7	,	,	PUNCT
esrj-38712	62	8	pal	pal	NOUN
esrj-38712	62	9	and	and	CCONJ
esrj-38712	62	10	deswal	deswal	NOUN
esrj-38712	62	11	(	(	PUNCT
esrj-38712	62	12	2008	2008	NUM
esrj-38712	62	13	)	)	PUNCT
esrj-38712	62	14	studied	study	VERB
esrj-38712	62	15	the	the	DET
esrj-38712	62	16	ann	ann	PROPN
esrj-38712	62	17	application	application	NOUN
esrj-38712	62	18	in	in	ADP
esrj-38712	62	19	predicting	predict	VERB
esrj-38712	62	20	the	the	DET
esrj-38712	62	21	total	total	ADJ
esrj-38712	62	22	capacity	capacity	NOUN
esrj-38712	62	23	of	of	ADP
esrj-38712	62	24	concrete	concrete	ADJ
esrj-38712	62	25	spun	spin	VERB
esrj-38712	62	26	pipe	pipe	NOUN
esrj-38712	62	27	piles	pile	NOUN
esrj-38712	62	28	.	.	PUNCT
esrj-38712	63	1	they	they	PRON
esrj-38712	63	2	used	use	VERB
esrj-38712	63	3	stress	stress	NOUN
esrj-38712	63	4	-	-	PUNCT
esrj-38712	63	5	wave	wave	NOUN
esrj-38712	63	6	data	datum	NOUN
esrj-38712	63	7	for	for	ADP
esrj-38712	63	8	building	build	VERB
esrj-38712	63	9	their	their	PRON
esrj-38712	63	10	annbased	annbase	VERB
esrj-38712	63	11	predictive	predictive	ADJ
esrj-38712	63	12	model	model	NOUN
esrj-38712	63	13	.	.	PUNCT
esrj-38712	64	1	based	base	VERB
esrj-38712	64	2	on	on	ADP
esrj-38712	64	3	their	their	PRON
esrj-38712	64	4	conclusion	conclusion	NOUN
esrj-38712	64	5	,	,	PUNCT
esrj-38712	64	6	in	in	ADP
esrj-38712	64	7	comparison	comparison	NOUN
esrj-38712	64	8	to	to	PART
esrj-38712	64	9	support	support	VERB
esrj-38712	64	10	vector	vector	NOUN
esrj-38712	64	11	machines	machine	NOUN
esrj-38712	64	12	,	,	PUNCT
esrj-38712	64	13	the	the	DET
esrj-38712	64	14	prediction	prediction	NOUN
esrj-38712	64	15	performance	performance	NOUN
esrj-38712	64	16	provided	provide	VERB
esrj-38712	64	17	by	by	ADP
esrj-38712	64	18	ann	ann	PROPN
esrj-38712	64	19	was	be	AUX
esrj-38712	64	20	more	more	ADV
esrj-38712	64	21	reliable	reliable	ADJ
esrj-38712	64	22	.	.	PUNCT
esrj-38712	65	1	shahin	shahin	PROPN
esrj-38712	65	2	and	and	CCONJ
esrj-38712	65	3	juksa	juksa	PROPN
esrj-38712	65	4	(	(	PUNCT
esrj-38712	65	5	2009	2009	NUM
esrj-38712	65	6	)	)	PUNCT
esrj-38712	65	7	proposed	propose	VERB
esrj-38712	65	8	an	an	DET
esrj-38712	65	9	ann	ann	PROPN
esrj-38712	65	10	-	-	PUNCT
esrj-38712	65	11	based	base	VERB
esrj-38712	65	12	predictive	predictive	ADJ
esrj-38712	65	13	model	model	NOUN
esrj-38712	65	14	of	of	ADP
esrj-38712	65	15	bearing	bear	VERB
esrj-38712	65	16	capacity	capacity	NOUN
esrj-38712	65	17	for	for	ADP
esrj-38712	65	18	drilled	drill	VERB
esrj-38712	65	19	shafts	shaft	NOUN
esrj-38712	65	20	.	.	PUNCT
esrj-38712	66	1	their	their	PRON
esrj-38712	66	2	model	model	NOUN
esrj-38712	66	3	dataset	dataset	VERB
esrj-38712	66	4	comprised	comprise	VERB
esrj-38712	66	5	cone	cone	NOUN
esrj-38712	66	6	penetration	penetration	NOUN
esrj-38712	66	7	test	test	NOUN
esrj-38712	66	8	results	result	NOUN
esrj-38712	66	9	and	and	CCONJ
esrj-38712	66	10	drilled	drill	VERB
esrj-38712	66	11	shaft	shaft	NOUN
esrj-38712	66	12	load	load	NOUN
esrj-38712	66	13	tests	test	NOUN
esrj-38712	66	14	on	on	ADP
esrj-38712	66	15	94	94	NUM
esrj-38712	66	16	recorded	record	VERB
esrj-38712	66	17	cases	case	NOUN
esrj-38712	66	18	.	.	PUNCT
esrj-38712	67	1	jianbin	jianbin	PROPN
esrj-38712	67	2	et	et	PROPN
esrj-38712	67	3	al	al	PROPN
esrj-38712	67	4	.	.	PROPN
esrj-38712	68	1	(	(	PUNCT
esrj-38712	68	2	2010	2010	NUM
esrj-38712	68	3	)	)	PUNCT
esrj-38712	68	4	developed	develop	VERB
esrj-38712	68	5	an	an	DET
esrj-38712	68	6	ann	ann	PROPN
esrj-38712	68	7	model	model	NOUN
esrj-38712	68	8	for	for	ADP
esrj-38712	68	9	predicting	predict	VERB
esrj-38712	68	10	the	the	DET
esrj-38712	68	11	ultimate	ultimate	ADJ
esrj-38712	68	12	abc	abc	PROPN
esrj-38712	68	13	of	of	ADP
esrj-38712	68	14	pipe	pipe	NOUN
esrj-38712	68	15	piles	pile	NOUN
esrj-38712	68	16	.	.	PUNCT
esrj-38712	69	1	the	the	DET
esrj-38712	69	2	influential	influential	ADJ
esrj-38712	69	3	parameters	parameter	NOUN
esrj-38712	69	4	that	that	SCONJ
esrj-38712	69	5	they	they	PRON
esrj-38712	69	6	have	have	AUX
esrj-38712	69	7	considered	consider	VERB
esrj-38712	69	8	for	for	ADP
esrj-38712	69	9	network	network	NOUN
esrj-38712	69	10	construction	construction	NOUN
esrj-38712	69	11	included	include	VERB
esrj-38712	69	12	the	the	DET
esrj-38712	69	13	effective	effective	ADJ
esrj-38712	69	14	length	length	NOUN
esrj-38712	69	15	and	and	CCONJ
esrj-38712	69	16	diameter	diameter	NOUN
esrj-38712	69	17	of	of	ADP
esrj-38712	69	18	pile	pile	NOUN
esrj-38712	69	19	,	,	PUNCT
esrj-38712	69	20	unit	unit	NOUN
esrj-38712	69	21	weight	weight	NOUN
esrj-38712	69	22	,	,	PUNCT
esrj-38712	69	23	cohesion	cohesion	NOUN
esrj-38712	69	24	and	and	CCONJ
esrj-38712	69	25	internal	internal	ADJ
esrj-38712	69	26	friction	friction	NOUN
esrj-38712	69	27	angle	angle	NOUN
esrj-38712	69	28	of	of	ADP
esrj-38712	69	29	soil	soil	NOUN
esrj-38712	69	30	as	as	ADV
esrj-38712	69	31	well	well	ADV
esrj-38712	69	32	as	as	ADP
esrj-38712	69	33	the	the	DET
esrj-38712	69	34	standard	standard	ADJ
esrj-38712	69	35	penetration	penetration	NOUN
esrj-38712	69	36	test	test	NOUN
esrj-38712	69	37	(	(	PUNCT
esrj-38712	69	38	spt	spt	NOUN
esrj-38712	69	39	)	)	PUNCT
esrj-38712	69	40	results	result	NOUN
esrj-38712	69	41	.	.	PUNCT
esrj-38712	70	1	benali	benali	VERB
esrj-38712	70	2	and	and	CCONJ
esrj-38712	70	3	nechnech	nechnech	PROPN
esrj-38712	70	4	(	(	PUNCT
esrj-38712	70	5	2011	2011	NUM
esrj-38712	70	6	)	)	PUNCT
esrj-38712	70	7	suggested	suggest	VERB
esrj-38712	70	8	an	an	DET
esrj-38712	70	9	ann	ann	PROPN
esrj-38712	70	10	-	-	PUNCT
esrj-38712	70	11	based	base	VERB
esrj-38712	70	12	predictive	predictive	ADJ
esrj-38712	70	13	model	model	NOUN
esrj-38712	70	14	of	of	ADP
esrj-38712	70	15	pile	pile	ADJ
esrj-38712	70	16	bearing	bearing	NOUN
esrj-38712	70	17	capacity	capacity	NOUN
esrj-38712	70	18	in	in	ADP
esrj-38712	70	19	cohesionless	cohesionless	NOUN
esrj-38712	70	20	soils	soil	NOUN
esrj-38712	70	21	.	.	PUNCT
esrj-38712	71	1	for	for	ADP
esrj-38712	71	2	training	train	VERB
esrj-38712	71	3	the	the	DET
esrj-38712	71	4	ann	ann	PROPN
esrj-38712	71	5	,	,	PUNCT
esrj-38712	71	6	they	they	PRON
esrj-38712	71	7	had	have	AUX
esrj-38712	71	8	collected	collect	VERB
esrj-38712	71	9	the	the	DET
esrj-38712	71	10	mechanical	mechanical	ADJ
esrj-38712	71	11	properties	property	NOUN
esrj-38712	71	12	of	of	ADP
esrj-38712	71	13	purely	purely	ADV
esrj-38712	71	14	coherent	coherent	ADJ
esrj-38712	71	15	soil	soil	NOUN
esrj-38712	71	16	and	and	CCONJ
esrj-38712	71	17	geometrical	geometrical	ADJ
esrj-38712	71	18	characteristics	characteristic	NOUN
esrj-38712	71	19	of	of	ADP
esrj-38712	71	20	80	80	NUM
esrj-38712	71	21	axially	axially	ADV
esrj-38712	71	22	loaded	load	VERB
esrj-38712	71	23	piles	pile	NOUN
esrj-38712	71	24	.	.	PUNCT
esrj-38712	72	1	the	the	DET
esrj-38712	72	2	correlation	correlation	NOUN
esrj-38712	72	3	coefficient	coefficient	NOUN
esrj-38712	72	4	,	,	PUNCT
esrj-38712	72	5	r	r	NOUN
esrj-38712	72	6	,	,	PUNCT
esrj-38712	72	7	equals	equal	VERB
esrj-38712	72	8	to	to	ADP
esrj-38712	72	9	0.92	0.92	NUM
esrj-38712	72	10	reveals	reveal	VERB
esrj-38712	72	11	the	the	DET
esrj-38712	72	12	reliability	reliability	NOUN
esrj-38712	72	13	of	of	ADP
esrj-38712	72	14	their	their	PRON
esrj-38712	72	15	ann	ann	NOUN
esrj-38712	72	16	-	-	PUNCT
esrj-38712	72	17	based	base	VERB
esrj-38712	72	18	predictive	predictive	ADJ
esrj-38712	72	19	model	model	NOUN
esrj-38712	72	20	.	.	PUNCT
esrj-38712	73	1	2	2	X
esrj-38712	73	2	.	.	X
esrj-38712	73	3	methods	method	NOUN
esrj-38712	73	4	2.1	2.1	NUM
esrj-38712	73	5	high	high	ADJ
esrj-38712	73	6	strain	strain	NOUN
esrj-38712	73	7	dynamic	dynamic	ADJ
esrj-38712	73	8	testing	testing	NOUN
esrj-38712	73	9	of	of	ADP
esrj-38712	73	10	piles	pile	NOUN
esrj-38712	73	11	it	it	PRON
esrj-38712	73	12	was	be	AUX
esrj-38712	73	13	mentioned	mention	VERB
esrj-38712	73	14	earlier	early	ADV
esrj-38712	73	15	that	that	DET
esrj-38712	73	16	high	high	ADJ
esrj-38712	73	17	strain	strain	NOUN
esrj-38712	73	18	dynamic	dynamic	ADJ
esrj-38712	73	19	testing	testing	NOUN
esrj-38712	73	20	(	(	PUNCT
esrj-38712	73	21	hsdt	hsdt	NOUN
esrj-38712	73	22	)	)	PUNCT
esrj-38712	73	23	is	be	AUX
esrj-38712	73	24	an	an	DET
esrj-38712	73	25	innovative	innovative	ADJ
esrj-38712	73	26	method	method	NOUN
esrj-38712	73	27	for	for	ADP
esrj-38712	73	28	estimating	estimate	VERB
esrj-38712	73	29	the	the	DET
esrj-38712	73	30	abc	abc	PROPN
esrj-38712	73	31	of	of	ADP
esrj-38712	73	32	piles	pile	NOUN
esrj-38712	73	33	.	.	PUNCT
esrj-38712	74	1	in	in	ADP
esrj-38712	74	2	dynamic	dynamic	ADJ
esrj-38712	74	3	testing	testing	NOUN
esrj-38712	74	4	of	of	ADP
esrj-38712	74	5	pile	pile	NOUN
esrj-38712	74	6	(	(	PUNCT
esrj-38712	74	7	pda	pda	NOUN
esrj-38712	74	8	test	test	NOUN
esrj-38712	74	9	)	)	PUNCT
esrj-38712	74	10	,	,	PUNCT
esrj-38712	74	11	it	it	PRON
esrj-38712	74	12	is	be	AUX
esrj-38712	74	13	hypothesized	hypothesize	VERB
esrj-38712	74	14	that	that	SCONJ
esrj-38712	74	15	a	a	DET
esrj-38712	74	16	pile	pile	NOUN
esrj-38712	74	17	with	with	ADP
esrj-38712	74	18	uniform	uniform	PROPN
esrj-38712	74	19	cross	cross	PROPN
esrj-38712	74	20	section	section	NOUN
esrj-38712	74	21	is	be	AUX
esrj-38712	74	22	a	a	DET
esrj-38712	74	23	slender	slender	ADJ
esrj-38712	74	24	element	element	NOUN
esrj-38712	74	25	surrounded	surround	VERB
esrj-38712	74	26	by	by	ADP
esrj-38712	74	27	material	material	NOUN
esrj-38712	74	28	with	with	ADP
esrj-38712	74	29	much	much	ADV
esrj-38712	74	30	lower	low	ADJ
esrj-38712	74	31	stiffness	stiffness	NOUN
esrj-38712	74	32	.	.	PUNCT
esrj-38712	75	1	hence	hence	ADV
esrj-38712	75	2	,	,	PUNCT
esrj-38712	75	3	any	any	DET
esrj-38712	75	4	mechanical	mechanical	ADJ
esrj-38712	75	5	impact	impact	NOUN
esrj-38712	75	6	through	through	ADP
esrj-38712	75	7	a	a	DET
esrj-38712	75	8	hammer	hammer	NOUN
esrj-38712	75	9	leads	lead	VERB
esrj-38712	75	10	to	to	ADP
esrj-38712	75	11	downward	downward	ADJ
esrj-38712	75	12	propagation	propagation	NOUN
esrj-38712	75	13	of	of	ADP
esrj-38712	75	14	wave	wave	NOUN
esrj-38712	75	15	(	(	PUNCT
esrj-38712	75	16	timoshenko	timoshenko	NOUN
esrj-38712	75	17	and	and	CCONJ
esrj-38712	75	18	goodier	goodier	NOUN
esrj-38712	75	19	,	,	PUNCT
esrj-38712	75	20	1951	1951	NUM
esrj-38712	75	21	;	;	PUNCT
esrj-38712	75	22	salgado	salgado	PROPN
esrj-38712	75	23	,	,	PUNCT
esrj-38712	75	24	2008	2008	NUM
esrj-38712	75	25	)	)	PUNCT
esrj-38712	75	26	.	.	PUNCT
esrj-38712	76	1	therefore	therefore	ADV
esrj-38712	76	2	,	,	PUNCT
esrj-38712	76	3	the	the	DET
esrj-38712	76	4	principle	principle	NOUN
esrj-38712	76	5	of	of	ADP
esrj-38712	76	6	one	one	NUM
esrj-38712	76	7	dimension	dimension	NOUN
esrj-38712	76	8	wave	wave	NOUN
esrj-38712	76	9	propagation	propagation	NOUN
esrj-38712	76	10	theory	theory	NOUN
esrj-38712	76	11	can	can	AUX
esrj-38712	76	12	be	be	AUX
esrj-38712	76	13	implemented	implement	VERB
esrj-38712	76	14	for	for	ADP
esrj-38712	76	15	piles	pile	NOUN
esrj-38712	76	16	.	.	PUNCT
esrj-38712	77	1	details	detail	NOUN
esrj-38712	77	2	of	of	ADP
esrj-38712	77	3	the	the	DET
esrj-38712	77	4	solution	solution	NOUN
esrj-38712	77	5	to	to	ADP
esrj-38712	77	6	the	the	DET
esrj-38712	77	7	partial	partial	ADJ
esrj-38712	77	8	differential	differential	ADJ
esrj-38712	77	9	equations	equation	NOUN
esrj-38712	77	10	of	of	ADP
esrj-38712	77	11	wave	wave	NOUN
esrj-38712	77	12	propagation	propagation	NOUN
esrj-38712	77	13	theory	theory	NOUN
esrj-38712	77	14	for	for	ADP
esrj-38712	77	15	predicting	predict	VERB
esrj-38712	77	16	axial	axial	ADJ
esrj-38712	77	17	bearing	bearing	NOUN
esrj-38712	77	18	capacity	capacity	NOUN
esrj-38712	77	19	of	of	ADP
esrj-38712	77	20	piles	pile	NOUN
esrj-38712	77	21	can	can	AUX
esrj-38712	77	22	be	be	AUX
esrj-38712	77	23	found	find	VERB
esrj-38712	77	24	elsewhere	elsewhere	ADV
esrj-38712	77	25	(	(	PUNCT
esrj-38712	77	26	salgado	salgado	PROPN
esrj-38712	77	27	,	,	PUNCT
esrj-38712	77	28	2008	2008	NUM
esrj-38712	77	29	)	)	PUNCT
esrj-38712	77	30	.	.	PUNCT
esrj-38712	78	1	nevertheless	nevertheless	ADV
esrj-38712	78	2	,	,	PUNCT
esrj-38712	78	3	the	the	DET
esrj-38712	78	4	finite	finite	ADJ
esrj-38712	78	5	difference	difference	NOUN
esrj-38712	78	6	-	-	PUNCT
esrj-38712	78	7	based	base	VERB
esrj-38712	78	8	model	model	NOUN
esrj-38712	78	9	introduced	introduce	VERB
esrj-38712	78	10	by	by	ADP
esrj-38712	78	11	smith	smith	PROPN
esrj-38712	78	12	(	(	PUNCT
esrj-38712	78	13	1960	1960	NUM
esrj-38712	78	14	)	)	PUNCT
esrj-38712	78	15	was	be	AUX
esrj-38712	78	16	considered	consider	VERB
esrj-38712	78	17	as	as	ADP
esrj-38712	78	18	the	the	DET
esrj-38712	78	19	bench	bench	NOUN
esrj-38712	78	20	mark	mark	NOUN
esrj-38712	78	21	for	for	ADP
esrj-38712	78	22	dynamic	dynamic	ADJ
esrj-38712	78	23	testing	testing	NOUN
esrj-38712	78	24	of	of	ADP
esrj-38712	78	25	piles	pile	NOUN
esrj-38712	78	26	.	.	PUNCT
esrj-38712	79	1	to	to	PART
esrj-38712	79	2	estimate	estimate	VERB
esrj-38712	79	3	the	the	DET
esrj-38712	79	4	axial	axial	ADJ
esrj-38712	79	5	bearing	bearing	NOUN
esrj-38712	79	6	capacity	capacity	NOUN
esrj-38712	79	7	,	,	PUNCT
esrj-38712	79	8	smith	smith	PROPN
esrj-38712	79	9	developed	develop	VERB
esrj-38712	79	10	a	a	DET
esrj-38712	79	11	discrete	discrete	ADJ
esrj-38712	79	12	solution	solution	NOUN
esrj-38712	79	13	for	for	ADP
esrj-38712	79	14	wave	wave	NOUN
esrj-38712	79	15	propagation	propagation	NOUN
esrj-38712	79	16	in	in	ADP
esrj-38712	79	17	piles	pile	NOUN
esrj-38712	79	18	.	.	PUNCT
esrj-38712	80	1	in	in	ADP
esrj-38712	80	2	smith	smith	PROPN
esrj-38712	80	3	’s	’s	PART
esrj-38712	80	4	model	model	NOUN
esrj-38712	80	5	,	,	PUNCT
esrj-38712	80	6	the	the	DET
esrj-38712	80	7	pile	pile	NOUN
esrj-38712	80	8	was	be	AUX
esrj-38712	80	9	simulated	simulate	VERB
esrj-38712	80	10	using	use	VERB
esrj-38712	80	11	a	a	DET
esrj-38712	80	12	number	number	NOUN
esrj-38712	80	13	of	of	ADP
esrj-38712	80	14	masses	masse	NOUN
esrj-38712	80	15	attached	attach	VERB
esrj-38712	80	16	to	to	ADP
esrj-38712	80	17	each	each	DET
esrj-38712	80	18	other	other	ADJ
esrj-38712	80	19	by	by	ADP
esrj-38712	80	20	elastic	elastic	ADJ
esrj-38712	80	21	springs	spring	NOUN
esrj-38712	80	22	,	,	PUNCT
esrj-38712	80	23	while	while	SCONJ
esrj-38712	80	24	the	the	DET
esrj-38712	80	25	soil	soil	NOUN
esrj-38712	80	26	was	be	AUX
esrj-38712	80	27	modelled	model	VERB
esrj-38712	80	28	by	by	ADP
esrj-38712	80	29	a	a	DET
esrj-38712	80	30	number	number	NOUN
esrj-38712	80	31	of	of	ADP
esrj-38712	80	32	springs	spring	NOUN
esrj-38712	80	33	,	,	PUNCT
esrj-38712	80	34	and	and	CCONJ
esrj-38712	80	35	linear	linear	ADJ
esrj-38712	80	36	viscous	viscous	ADJ
esrj-38712	80	37	dampers	damper	NOUN
esrj-38712	80	38	to	to	PART
esrj-38712	80	39	represent	represent	VERB
esrj-38712	80	40	its	its	PRON
esrj-38712	80	41	behavior	behavior	NOUN
esrj-38712	80	42	.	.	PUNCT
esrj-38712	81	1	however	however	ADV
esrj-38712	81	2	,	,	PUNCT
esrj-38712	81	3	there	there	PRON
esrj-38712	81	4	were	be	VERB
esrj-38712	81	5	some	some	DET
esrj-38712	81	6	deficiencies	deficiency	NOUN
esrj-38712	81	7	in	in	ADP
esrj-38712	81	8	smith`s	smith`s	NOUN
esrj-38712	81	9	model	model	NOUN
esrj-38712	81	10	due	due	ADP
esrj-38712	81	11	to	to	ADP
esrj-38712	81	12	lack	lack	NOUN
esrj-38712	81	13	of	of	ADP
esrj-38712	81	14	knowledge	knowledge	NOUN
esrj-38712	81	15	on	on	ADP
esrj-38712	81	16	hammer	hammer	NOUN
esrj-38712	81	17	energy	energy	NOUN
esrj-38712	81	18	and	and	CCONJ
esrj-38712	81	19	cushion	cushion	NOUN
esrj-38712	81	20	characteristics	characteristic	NOUN
esrj-38712	81	21	.	.	PUNCT
esrj-38712	82	1	smith`s	smith`s	NOUN
esrj-38712	82	2	model	model	NOUN
esrj-38712	82	3	later	later	ADV
esrj-38712	82	4	on	on	ADV
esrj-38712	82	5	was	be	AUX
esrj-38712	82	6	enhanced	enhance	VERB
esrj-38712	82	7	by	by	ADP
esrj-38712	82	8	a	a	DET
esrj-38712	82	9	group	group	NOUN
esrj-38712	82	10	of	of	ADP
esrj-38712	82	11	researchers	researcher	NOUN
esrj-38712	82	12	at	at	ADP
esrj-38712	82	13	case	case	NOUN
esrj-38712	82	14	western	western	PROPN
esrj-38712	82	15	reserve	reserve	PROPN
esrj-38712	82	16	university	university	PROPN
esrj-38712	82	17	(	(	PUNCT
esrj-38712	82	18	goble	goble	PROPN
esrj-38712	82	19	et	et	PROPN
esrj-38712	82	20	al.1970	al.1970	PROPN
esrj-38712	82	21	;	;	PUNCT
esrj-38712	82	22	rausche	rausche	PROPN
esrj-38712	82	23	et	et	PROPN
esrj-38712	82	24	al	al	PROPN
esrj-38712	82	25	.	.	PROPN
esrj-38712	82	26	1972	1972	NUM
esrj-38712	82	27	;	;	PUNCT
esrj-38712	82	28	rausche	rausche	PROPN
esrj-38712	82	29	et	et	PROPN
esrj-38712	82	30	al	al	PROPN
esrj-38712	82	31	.	.	PROPN
esrj-38712	82	32	1985	1985	NUM
esrj-38712	82	33	)	)	PUNCT
esrj-38712	82	34	.	.	PUNCT
esrj-38712	83	1	in	in	ADP
esrj-38712	83	2	their	their	PRON
esrj-38712	83	3	developed	develop	VERB
esrj-38712	83	4	method	method	NOUN
esrj-38712	83	5	also	also	ADV
esrj-38712	83	6	known	know	VERB
esrj-38712	83	7	as	as	ADP
esrj-38712	83	8	case	case	NOUN
esrj-38712	83	9	method	method	NOUN
esrj-38712	83	10	,	,	PUNCT
esrj-38712	83	11	it	it	PRON
esrj-38712	83	12	was	be	AUX
esrj-38712	83	13	not	not	PART
esrj-38712	83	14	necessary	necessary	ADJ
esrj-38712	83	15	to	to	PART
esrj-38712	83	16	model	model	VERB
esrj-38712	83	17	the	the	DET
esrj-38712	83	18	hammer	hammer	NOUN
esrj-38712	83	19	and	and	CCONJ
esrj-38712	83	20	driving	driving	NOUN
esrj-38712	83	21	systems	system	NOUN
esrj-38712	83	22	.	.	PUNCT
esrj-38712	84	1	instead	instead	ADV
esrj-38712	84	2	,	,	PUNCT
esrj-38712	84	3	they	they	PRON
esrj-38712	84	4	reported	report	VERB
esrj-38712	84	5	the	the	DET
esrj-38712	84	6	use	use	NOUN
esrj-38712	84	7	of	of	ADP
esrj-38712	84	8	force	force	NOUN
esrj-38712	84	9	and	and	CCONJ
esrj-38712	84	10	acceleration	acceleration	NOUN
esrj-38712	84	11	records	record	NOUN
esrj-38712	84	12	in	in	ADP
esrj-38712	84	13	a	a	DET
esrj-38712	84	14	simplified	simplified	ADJ
esrj-38712	84	15	model	model	NOUN
esrj-38712	84	16	for	for	ADP
esrj-38712	84	17	predicting	predict	VERB
esrj-38712	84	18	the	the	DET
esrj-38712	84	19	static	static	ADJ
esrj-38712	84	20	bearing	bearing	NOUN
esrj-38712	84	21	capacity	capacity	NOUN
esrj-38712	84	22	.	.	PUNCT
esrj-38712	85	1	as	as	SCONJ
esrj-38712	85	2	stated	state	VERB
esrj-38712	85	3	by	by	ADP
esrj-38712	85	4	fellenius	fellenius	PROPN
esrj-38712	85	5	,	,	PUNCT
esrj-38712	85	6	(	(	PUNCT
esrj-38712	85	7	1999	1999	NUM
esrj-38712	85	8	)	)	PUNCT
esrj-38712	85	9	the	the	DET
esrj-38712	85	10	full	full	ADJ
esrj-38712	85	11	power	power	NOUN
esrj-38712	85	12	of	of	ADP
esrj-38712	85	13	the	the	DET
esrj-38712	85	14	wave	wave	NOUN
esrj-38712	85	15	equation	equation	NOUN
esrj-38712	85	16	analysis	analysis	NOUN
esrj-38712	85	17	was	be	AUX
esrj-38712	85	18	first	first	ADV
esrj-38712	85	19	realized	realize	VERB
esrj-38712	85	20	when	when	SCONJ
esrj-38712	85	21	it	it	PRON
esrj-38712	85	22	was	be	AUX
esrj-38712	85	23	coupled	couple	VERB
esrj-38712	85	24	with	with	ADP
esrj-38712	85	25	dynamic	dynamic	ADJ
esrj-38712	85	26	monitoring	monitoring	NOUN
esrj-38712	85	27	of	of	ADP
esrj-38712	85	28	piles	pile	NOUN
esrj-38712	85	29	.	.	PUNCT
esrj-38712	86	1	the	the	DET
esrj-38712	86	2	latter	latter	ADJ
esrj-38712	86	3	can	can	AUX
esrj-38712	86	4	be	be	AUX
esrj-38712	86	5	determined	determine	VERB
esrj-38712	86	6	by	by	ADP
esrj-38712	86	7	installing	instal	VERB
esrj-38712	86	8	a	a	DET
esrj-38712	86	9	pair	pair	NOUN
esrj-38712	86	10	of	of	ADP
esrj-38712	86	11	accelerometer	accelerometer	NOUN
esrj-38712	86	12	and	and	CCONJ
esrj-38712	86	13	strain	strain	NOUN
esrj-38712	86	14	transducer	transducer	NOUN
esrj-38712	86	15	on	on	ADP
esrj-38712	86	16	top	top	NOUN
esrj-38712	86	17	of	of	ADP
esrj-38712	86	18	the	the	DET
esrj-38712	86	19	pile	pile	NOUN
esrj-38712	86	20	(	(	PUNCT
esrj-38712	86	21	see	see	VERB
esrj-38712	86	22	figure	figure	NOUN
esrj-38712	86	23	1	1	NUM
esrj-38712	86	24	)	)	PUNCT
esrj-38712	86	25	.	.	PUNCT
esrj-38712	87	1	subsequently	subsequently	ADV
esrj-38712	87	2	,	,	PUNCT
esrj-38712	87	3	the	the	DET
esrj-38712	87	4	data	datum	NOUN
esrj-38712	87	5	recorded	record	VERB
esrj-38712	87	6	by	by	ADP
esrj-38712	87	7	aforementioned	aforementioned	ADJ
esrj-38712	87	8	instruments	instrument	NOUN
esrj-38712	87	9	are	be	AUX
esrj-38712	87	10	transmitted	transmit	VERB
esrj-38712	87	11	by	by	ADP
esrj-38712	87	12	means	mean	NOUN
esrj-38712	87	13	of	of	ADP
esrj-38712	87	14	a	a	DET
esrj-38712	87	15	cable	cable	NOUN
esrj-38712	87	16	to	to	PART
esrj-38712	87	17	pda	pda	VERB
esrj-38712	87	18	.	.	PUNCT
esrj-38712	88	1	the	the	DET
esrj-38712	88	2	pda	pda	NOUN
esrj-38712	88	3	will	will	AUX
esrj-38712	88	4	then	then	ADV
esrj-38712	88	5	transform	transform	VERB
esrj-38712	88	6	the	the	DET
esrj-38712	88	7	recorded	record	VERB
esrj-38712	88	8	data	datum	NOUN
esrj-38712	88	9	into	into	ADP
esrj-38712	88	10	force	force	NOUN
esrj-38712	88	11	and	and	CCONJ
esrj-38712	88	12	velocity	velocity	NOUN
esrj-38712	88	13	.	.	PUNCT
esrj-38712	89	1	in	in	ADP
esrj-38712	89	2	the	the	DET
esrj-38712	89	3	next	next	ADJ
esrj-38712	89	4	step	step	NOUN
esrj-38712	89	5	,	,	PUNCT
esrj-38712	89	6	the	the	DET
esrj-38712	89	7	bearing	bearing	NOUN
esrj-38712	89	8	capacity	capacity	NOUN
esrj-38712	89	9	of	of	ADP
esrj-38712	89	10	the	the	DET
esrj-38712	89	11	pile	pile	NOUN
esrj-38712	89	12	is	be	AUX
esrj-38712	89	13	predicted	predict	VERB
esrj-38712	89	14	using	use	VERB
esrj-38712	89	15	capwap	capwap	ADJ
esrj-38712	89	16	program	program	NOUN
esrj-38712	89	17	.	.	PUNCT
esrj-38712	90	1	capwap	capwap	PROPN
esrj-38712	90	2	combines	combine	VERB
esrj-38712	90	3	the	the	DET
esrj-38712	90	4	measured	measured	ADJ
esrj-38712	90	5	force	force	NOUN
esrj-38712	90	6	and	and	CCONJ
esrj-38712	90	7	velocity	velocity	NOUN
esrj-38712	90	8	with	with	ADP
esrj-38712	90	9	the	the	DET
esrj-38712	90	10	wave	wave	NOUN
esrj-38712	90	11	equation	equation	NOUN
esrj-38712	90	12	analysis	analysis	NOUN
esrj-38712	90	13	to	to	PART
esrj-38712	90	14	determine	determine	VERB
esrj-38712	90	15	soil	soil	NOUN
esrj-38712	90	16	resistance	resistance	NOUN
esrj-38712	90	17	and	and	CCONJ
esrj-38712	90	18	its	its	PRON
esrj-38712	90	19	distribution	distribution	NOUN
esrj-38712	90	20	along	along	ADP
esrj-38712	90	21	the	the	DET
esrj-38712	90	22	pile	pile	NOUN
esrj-38712	90	23	.	.	PUNCT
esrj-38712	91	1	the	the	DET
esrj-38712	91	2	capwap	capwap	PROPN
esrj-38712	91	3	approach	approach	NOUN
esrj-38712	91	4	is	be	AUX
esrj-38712	91	5	based	base	VERB
esrj-38712	91	6	on	on	ADP
esrj-38712	91	7	an	an	DET
esrj-38712	91	8	iterative	iterative	NOUN
esrj-38712	91	9	curve	curve	NOUN
esrj-38712	91	10	-	-	PUNCT
esrj-38712	91	11	fitting	fit	VERB
esrj-38712	91	12	technique	technique	NOUN
esrj-38712	91	13	in	in	ADP
esrj-38712	91	14	which	which	PRON
esrj-38712	91	15	pile	pile	ADJ
esrj-38712	91	16	response	response	NOUN
esrj-38712	91	17	,	,	PUNCT
esrj-38712	91	18	estimated	estimate	VERB
esrj-38712	91	19	through	through	ADP
esrj-38712	91	20	wave	wave	NOUN
esrj-38712	91	21	equation	equation	NOUN
esrj-38712	91	22	analysis	analysis	NOUN
esrj-38712	91	23	of	of	ADP
esrj-38712	91	24	a	a	DET
esrj-38712	91	25	model	model	NOUN
esrj-38712	91	26	pile	pile	NOUN
esrj-38712	91	27	,	,	PUNCT
esrj-38712	91	28	is	be	AUX
esrj-38712	91	29	matched	match	VERB
esrj-38712	91	30	to	to	ADP
esrj-38712	91	31	the	the	DET
esrj-38712	91	32	measured	measured	ADJ
esrj-38712	91	33	response	response	NOUN
esrj-38712	91	34	of	of	ADP
esrj-38712	91	35	the	the	DET
esrj-38712	91	36	actual	actual	ADJ
esrj-38712	91	37	pile	pile	NOUN
esrj-38712	91	38	for	for	ADP
esrj-38712	91	39	a	a	DET
esrj-38712	91	40	single	single	ADJ
esrj-38712	91	41	hammer	hammer	NOUN
esrj-38712	91	42	blow	blow	NOUN
esrj-38712	91	43	(	(	PUNCT
esrj-38712	91	44	fhwa	fhwa	PROPN
esrj-38712	91	45	,	,	PUNCT
esrj-38712	91	46	2006	2006	NUM
esrj-38712	91	47	)	)	PUNCT
esrj-38712	91	48	.	.	PUNCT
esrj-38712	92	1	87application	87application	NOUN
esrj-38712	92	2	of	of	ADP
esrj-38712	92	3	artificial	artificial	ADJ
esrj-38712	92	4	neural	neural	ADJ
esrj-38712	92	5	network	network	NOUN
esrj-38712	92	6	for	for	ADP
esrj-38712	92	7	predicting	predict	VERB
esrj-38712	92	8	shaft	shaft	NOUN
esrj-38712	92	9	and	and	CCONJ
esrj-38712	92	10	tip	tip	NOUN
esrj-38712	92	11	resistances	resistance	NOUN
esrj-38712	92	12	of	of	ADP
esrj-38712	92	13	concrete	concrete	ADJ
esrj-38712	92	14	piles	pile	NOUN
esrj-38712	92	15	figure	figure	VERB
esrj-38712	92	16	1	1	NUM
esrj-38712	92	17	.	.	PUNCT
esrj-38712	92	18	example	example	NOUN
esrj-38712	92	19	of	of	ADP
esrj-38712	92	20	installed	instal	VERB
esrj-38712	92	21	accelerometer	accelerometer	NOUN
esrj-38712	92	22	(	(	PUNCT
esrj-38712	92	23	right	right	ADJ
esrj-38712	92	24	)	)	PUNCT
esrj-38712	92	25	and	and	CCONJ
esrj-38712	92	26	strain	strain	NOUN
esrj-38712	92	27	transducer	transducer	NOUN
esrj-38712	92	28	(	(	PUNCT
esrj-38712	92	29	left	leave	VERB
esrj-38712	92	30	)	)	PUNCT
esrj-38712	92	31	on	on	ADP
esrj-38712	92	32	the	the	DET
esrj-38712	92	33	pile	pile	NOUN
esrj-38712	92	34	.	.	PUNCT
esrj-38712	93	1	it	it	PRON
esrj-38712	93	2	should	should	AUX
esrj-38712	93	3	be	be	AUX
esrj-38712	93	4	mentioned	mention	VERB
esrj-38712	93	5	that	that	SCONJ
esrj-38712	93	6	in	in	ADP
esrj-38712	93	7	performing	perform	VERB
esrj-38712	93	8	pda	pda	NOUN
esrj-38712	93	9	tests	test	NOUN
esrj-38712	93	10	,	,	PUNCT
esrj-38712	93	11	to	to	PART
esrj-38712	93	12	obtain	obtain	VERB
esrj-38712	93	13	more	more	ADV
esrj-38712	93	14	reliable	reliable	ADJ
esrj-38712	93	15	abc	abc	PROPN
esrj-38712	93	16	,	,	PUNCT
esrj-38712	93	17	some	some	DET
esrj-38712	93	18	criteria	criterion	NOUN
esrj-38712	93	19	such	such	ADJ
esrj-38712	93	20	as	as	ADP
esrj-38712	93	21	hammer	hammer	NOUN
esrj-38712	93	22	weight	weight	NOUN
esrj-38712	93	23	and	and	CCONJ
esrj-38712	93	24	impact	impact	NOUN
esrj-38712	93	25	condition	condition	NOUN
esrj-38712	93	26	must	must	AUX
esrj-38712	93	27	be	be	AUX
esrj-38712	93	28	considered	consider	VERB
esrj-38712	93	29	.	.	PUNCT
esrj-38712	94	1	for	for	ADP
esrj-38712	94	2	full	full	ADJ
esrj-38712	94	3	mobilization	mobilization	NOUN
esrj-38712	94	4	of	of	ADP
esrj-38712	94	5	soil	soil	NOUN
esrj-38712	94	6	strength	strength	NOUN
esrj-38712	94	7	along	along	ADP
esrj-38712	94	8	pile	pile	ADJ
esrj-38712	94	9	shaft	shaft	NOUN
esrj-38712	94	10	,	,	PUNCT
esrj-38712	94	11	susilo	susilo	NOUN
esrj-38712	94	12	(	(	PUNCT
esrj-38712	94	13	2006	2006	NUM
esrj-38712	94	14	)	)	PUNCT
esrj-38712	94	15	suggested	suggest	VERB
esrj-38712	94	16	minimum	minimum	ADJ
esrj-38712	94	17	hammer	hammer	NOUN
esrj-38712	94	18	weight	weight	NOUN
esrj-38712	94	19	equals	equal	VERB
esrj-38712	94	20	to	to	ADP
esrj-38712	94	21	1	1	NUM
esrj-38712	94	22	%	%	NOUN
esrj-38712	94	23	of	of	ADP
esrj-38712	94	24	the	the	DET
esrj-38712	94	25	required	require	VERB
esrj-38712	94	26	ultimate	ultimate	ADJ
esrj-38712	94	27	pile	pile	NOUN
esrj-38712	94	28	capacity	capacity	NOUN
esrj-38712	94	29	whereas	whereas	SCONJ
esrj-38712	94	30	for	for	ADP
esrj-38712	94	31	piles	pile	NOUN
esrj-38712	94	32	with	with	ADP
esrj-38712	94	33	larger	large	ADJ
esrj-38712	94	34	expected	expect	VERB
esrj-38712	94	35	end	end	NOUN
esrj-38712	94	36	bearing	bear	VERB
esrj-38712	94	37	contributions	contribution	NOUN
esrj-38712	94	38	,	,	PUNCT
esrj-38712	94	39	the	the	DET
esrj-38712	94	40	recommended	recommend	VERB
esrj-38712	94	41	percentage	percentage	NOUN
esrj-38712	94	42	is	be	AUX
esrj-38712	94	43	increased	increase	VERB
esrj-38712	94	44	to	to	ADP
esrj-38712	94	45	at	at	ADV
esrj-38712	94	46	least	least	ADV
esrj-38712	94	47	2	2	NUM
esrj-38712	94	48	%	%	NOUN
esrj-38712	94	49	of	of	ADP
esrj-38712	94	50	the	the	DET
esrj-38712	94	51	ultimate	ultimate	ADJ
esrj-38712	94	52	pile	pile	NOUN
esrj-38712	94	53	capacity	capacity	NOUN
esrj-38712	94	54	.	.	PUNCT
esrj-38712	95	1	2.2	2.2	NUM
esrj-38712	95	2	artificial	artificial	ADJ
esrj-38712	95	3	neural	neural	ADJ
esrj-38712	95	4	network	network	NOUN
esrj-38712	95	5	artificial	artificial	ADJ
esrj-38712	95	6	neural	neural	ADJ
esrj-38712	95	7	network	network	NOUN
esrj-38712	95	8	is	be	AUX
esrj-38712	95	9	a	a	DET
esrj-38712	95	10	flexible	flexible	ADJ
esrj-38712	95	11	non	non	ADJ
esrj-38712	95	12	-	-	ADJ
esrj-38712	95	13	linear	linear	ADJ
esrj-38712	95	14	function	function	NOUN
esrj-38712	95	15	approximation	approximation	NOUN
esrj-38712	95	16	tool	tool	NOUN
esrj-38712	95	17	that	that	PRON
esrj-38712	95	18	estimates	estimate	VERB
esrj-38712	95	19	a	a	DET
esrj-38712	95	20	relationship	relationship	NOUN
esrj-38712	95	21	between	between	ADP
esrj-38712	95	22	given	give	VERB
esrj-38712	95	23	input	input	NOUN
esrj-38712	95	24	and	and	CCONJ
esrj-38712	95	25	output	output	NOUN
esrj-38712	95	26	parameters	parameter	NOUN
esrj-38712	95	27	.	.	PUNCT
esrj-38712	96	1	simpson	simpson	PROPN
esrj-38712	96	2	(	(	PUNCT
esrj-38712	96	3	1990	1990	NUM
esrj-38712	96	4	)	)	PUNCT
esrj-38712	96	5	reported	report	VERB
esrj-38712	96	6	that	that	SCONJ
esrj-38712	96	7	a	a	DET
esrj-38712	96	8	specific	specific	ADJ
esrj-38712	96	9	ann	ann	NOUN
esrj-38712	96	10	can	can	AUX
esrj-38712	96	11	be	be	AUX
esrj-38712	96	12	defined	define	VERB
esrj-38712	96	13	using	use	VERB
esrj-38712	96	14	three	three	NUM
esrj-38712	96	15	important	important	ADJ
esrj-38712	96	16	components	component	NOUN
esrj-38712	96	17	:	:	PUNCT
esrj-38712	96	18	transfer	transfer	NOUN
esrj-38712	96	19	function	function	NOUN
esrj-38712	96	20	,	,	PUNCT
esrj-38712	96	21	network	network	NOUN
esrj-38712	96	22	architecture	architecture	NOUN
esrj-38712	96	23	and	and	CCONJ
esrj-38712	96	24	learning	learn	VERB
esrj-38712	96	25	law	law	NOUN
esrj-38712	96	26	.	.	PUNCT
esrj-38712	97	1	more	more	ADJ
esrj-38712	97	2	details	detail	NOUN
esrj-38712	97	3	on	on	ADP
esrj-38712	97	4	ann	ann	PROPN
esrj-38712	97	5	structure	structure	NOUN
esrj-38712	97	6	are	be	AUX
esrj-38712	97	7	addressed	address	VERB
esrj-38712	97	8	elsewhere	elsewhere	ADV
esrj-38712	97	9	(	(	PUNCT
esrj-38712	97	10	e.g.	e.g.	ADV
esrj-38712	97	11	hechtnielsen	hechtnielsen	VERB
esrj-38712	97	12	,	,	PUNCT
esrj-38712	97	13	1990	1990	NUM
esrj-38712	97	14	;	;	PUNCT
esrj-38712	97	15	maren	maren	PROPN
esrj-38712	97	16	,	,	PUNCT
esrj-38712	97	17	et	et	PROPN
esrj-38712	97	18	al	al	PROPN
esrj-38712	97	19	.	.	PROPN
esrj-38712	97	20	1990	1990	NUM
esrj-38712	97	21	;	;	PUNCT
esrj-38712	97	22	zurada	zurada	PROPN
esrj-38712	97	23	,	,	PUNCT
esrj-38712	97	24	1992	1992	NUM
esrj-38712	97	25	;	;	PUNCT
esrj-38712	97	26	fausett	fausett	NOUN
esrj-38712	97	27	,	,	PUNCT
esrj-38712	97	28	1994	1994	NUM
esrj-38712	97	29	;	;	PUNCT
esrj-38712	97	30	ripley	ripley	PROPN
esrj-38712	97	31	1996	1996	NUM
esrj-38712	97	32	)	)	PUNCT
esrj-38712	97	33	.	.	PUNCT
esrj-38712	98	1	however	however	ADV
esrj-38712	98	2	,	,	PUNCT
esrj-38712	98	3	study	study	NOUN
esrj-38712	98	4	by	by	ADP
esrj-38712	98	5	haykin	haykin	PROPN
esrj-38712	98	6	(	(	PUNCT
esrj-38712	98	7	1999	1999	NUM
esrj-38712	98	8	)	)	PUNCT
esrj-38712	98	9	recommends	recommend	VERB
esrj-38712	98	10	that	that	SCONJ
esrj-38712	98	11	the	the	DET
esrj-38712	98	12	most	most	ADV
esrj-38712	98	13	wellknown	wellknown	ADJ
esrj-38712	98	14	type	type	NOUN
esrj-38712	98	15	of	of	ADP
esrj-38712	98	16	feed	feed	NOUN
esrj-38712	98	17	-	-	PUNCT
esrj-38712	98	18	forward	forward	NOUN
esrj-38712	98	19	anns	anns	NOUN
esrj-38712	98	20	is	be	AUX
esrj-38712	98	21	multi	multi	ADJ
esrj-38712	98	22	-	-	ADJ
esrj-38712	98	23	layer	layer	ADJ
esrj-38712	98	24	perceptron	perceptron	NOUN
esrj-38712	98	25	(	(	PUNCT
esrj-38712	98	26	mlp	mlp	PROPN
esrj-38712	98	27	)	)	PUNCT
esrj-38712	98	28	.	.	PUNCT
esrj-38712	99	1	in	in	ADP
esrj-38712	99	2	feedforward	feedforward	NOUN
esrj-38712	99	3	anns	ann	NOUN
esrj-38712	99	4	,	,	PUNCT
esrj-38712	99	5	the	the	DET
esrj-38712	99	6	neurons	neuron	NOUN
esrj-38712	99	7	are	be	AUX
esrj-38712	99	8	usually	usually	ADV
esrj-38712	99	9	grouped	group	VERB
esrj-38712	99	10	into	into	ADP
esrj-38712	99	11	layers	layer	NOUN
esrj-38712	99	12	.	.	PUNCT
esrj-38712	100	1	using	use	VERB
esrj-38712	100	2	neuron	neuron	NOUN
esrj-38712	100	3	connections	connection	NOUN
esrj-38712	100	4	,	,	PUNCT
esrj-38712	100	5	signals	signal	NOUN
esrj-38712	100	6	move	move	VERB
esrj-38712	100	7	from	from	ADP
esrj-38712	100	8	input	input	NOUN
esrj-38712	100	9	layer	layer	NOUN
esrj-38712	100	10	through	through	ADP
esrj-38712	100	11	the	the	DET
esrj-38712	100	12	hidden	hide	VERB
esrj-38712	100	13	layer(s	layer(s	NOUN
esrj-38712	100	14	)	)	PUNCT
esrj-38712	100	15	to	to	PART
esrj-38712	100	16	output	output	VERB
esrj-38712	100	17	layer	layer	NOUN
esrj-38712	100	18	.	.	PUNCT
esrj-38712	101	1	in	in	ADP
esrj-38712	101	2	essence	essence	NOUN
esrj-38712	101	3	,	,	PUNCT
esrj-38712	101	4	anns	ann	NOUN
esrj-38712	101	5	are	be	AUX
esrj-38712	101	6	composed	compose	VERB
esrj-38712	101	7	of	of	ADP
esrj-38712	101	8	a	a	DET
esrj-38712	101	9	set	set	NOUN
esrj-38712	101	10	of	of	ADP
esrj-38712	101	11	parallel	parallel	ADJ
esrj-38712	101	12	layers	layer	NOUN
esrj-38712	101	13	and	and	CCONJ
esrj-38712	101	14	several	several	ADJ
esrj-38712	101	15	interconnected	interconnected	ADJ
esrj-38712	101	16	nodes	node	NOUN
esrj-38712	101	17	or	or	CCONJ
esrj-38712	101	18	neurons	neuron	NOUN
esrj-38712	101	19	.	.	PUNCT
esrj-38712	102	1	there	there	PRON
esrj-38712	102	2	is	be	VERB
esrj-38712	102	3	also	also	ADV
esrj-38712	102	4	a	a	DET
esrj-38712	102	5	transfer	transfer	NOUN
esrj-38712	102	6	or	or	CCONJ
esrj-38712	102	7	activation	activation	NOUN
esrj-38712	102	8	function	function	NOUN
esrj-38712	102	9	along	along	ADP
esrj-38712	102	10	each	each	DET
esrj-38712	102	11	node	node	NOUN
esrj-38712	102	12	which	which	PRON
esrj-38712	102	13	transmits	transmit	VERB
esrj-38712	102	14	signals	signal	NOUN
esrj-38712	102	15	to	to	ADP
esrj-38712	102	16	either	either	CCONJ
esrj-38712	102	17	other	other	ADJ
esrj-38712	102	18	nodes	node	NOUN
esrj-38712	102	19	or	or	CCONJ
esrj-38712	102	20	output	output	NOUN
esrj-38712	102	21	of	of	ADP
esrj-38712	102	22	the	the	DET
esrj-38712	102	23	network	network	NOUN
esrj-38712	102	24	.	.	PUNCT
esrj-38712	103	1	the	the	DET
esrj-38712	103	2	activation	activation	NOUN
esrj-38712	103	3	function	function	NOUN
esrj-38712	103	4	in	in	ADP
esrj-38712	103	5	each	each	DET
esrj-38712	103	6	node	node	NOUN
esrj-38712	103	7	is	be	AUX
esrj-38712	103	8	applied	apply	VERB
esrj-38712	103	9	to	to	ADP
esrj-38712	103	10	the	the	DET
esrj-38712	103	11	net	net	ADJ
esrj-38712	103	12	input	input	NOUN
esrj-38712	103	13	of	of	ADP
esrj-38712	103	14	that	that	DET
esrj-38712	103	15	node	node	NOUN
esrj-38712	103	16	.	.	PUNCT
esrj-38712	104	1	the	the	DET
esrj-38712	104	2	net	net	ADJ
esrj-38712	104	3	input	input	NOUN
esrj-38712	104	4	of	of	ADP
esrj-38712	104	5	the	the	DET
esrj-38712	104	6	node	node	NOUN
esrj-38712	104	7	is	be	AUX
esrj-38712	104	8	obtained	obtain	VERB
esrj-38712	104	9	by	by	ADP
esrj-38712	104	10	summation	summation	NOUN
esrj-38712	104	11	of	of	ADP
esrj-38712	104	12	connection	connection	NOUN
esrj-38712	104	13	weights	weight	VERB
esrj-38712	104	14	as	as	ADV
esrj-38712	104	15	well	well	ADV
esrj-38712	104	16	as	as	ADP
esrj-38712	104	17	a	a	DET
esrj-38712	104	18	threshold	threshold	NOUN
esrj-38712	104	19	value	value	NOUN
esrj-38712	104	20	known	know	VERB
esrj-38712	104	21	as	as	ADP
esrj-38712	104	22	bias	bias	NOUN
esrj-38712	104	23	.	.	PUNCT
esrj-38712	105	1	among	among	ADP
esrj-38712	105	2	different	different	ADJ
esrj-38712	105	3	algorithms	algorithm	NOUN
esrj-38712	105	4	for	for	ADP
esrj-38712	105	5	training	training	NOUN
esrj-38712	105	6	anns	ann	NOUN
esrj-38712	105	7	,	,	PUNCT
esrj-38712	105	8	back	back	NOUN
esrj-38712	105	9	-	-	PUNCT
esrj-38712	105	10	propagation	propagation	NOUN
esrj-38712	105	11	(	(	PUNCT
esrj-38712	105	12	bp	bp	PROPN
esrj-38712	105	13	)	)	PUNCT
esrj-38712	105	14	algorithm	algorithm	NOUN
esrj-38712	105	15	is	be	AUX
esrj-38712	105	16	recognized	recognize	VERB
esrj-38712	105	17	as	as	ADP
esrj-38712	105	18	the	the	DET
esrj-38712	105	19	most	most	ADV
esrj-38712	105	20	common	common	ADJ
esrj-38712	105	21	training	training	NOUN
esrj-38712	105	22	algorithm	algorithm	NOUN
esrj-38712	105	23	(	(	PUNCT
esrj-38712	105	24	dreyfus	dreyfus	PROPN
esrj-38712	105	25	,	,	PUNCT
esrj-38712	105	26	2005	2005	NUM
esrj-38712	105	27	)	)	PUNCT
esrj-38712	105	28	.	.	PUNCT
esrj-38712	106	1	basically	basically	ADV
esrj-38712	106	2	,	,	PUNCT
esrj-38712	106	3	bp	bp	PROPN
esrj-38712	106	4	algorithm	algorithm	PROPN
esrj-38712	106	5	consists	consist	VERB
esrj-38712	106	6	of	of	ADP
esrj-38712	106	7	two	two	NUM
esrj-38712	106	8	passes	pass	NOUN
esrj-38712	106	9	;	;	PUNCT
esrj-38712	106	10	a	a	DET
esrj-38712	106	11	forward	forward	ADJ
esrj-38712	106	12	pass	pass	NOUN
esrj-38712	106	13	and	and	CCONJ
esrj-38712	106	14	a	a	DET
esrj-38712	106	15	backward	backward	ADJ
esrj-38712	106	16	pass	pass	NOUN
esrj-38712	106	17	.	.	PUNCT
esrj-38712	107	1	in	in	ADP
esrj-38712	107	2	the	the	DET
esrj-38712	107	3	former	former	ADJ
esrj-38712	107	4	,	,	PUNCT
esrj-38712	107	5	using	use	VERB
esrj-38712	107	6	transfer	transfer	NOUN
esrj-38712	107	7	function	function	NOUN
esrj-38712	107	8	,	,	PUNCT
esrj-38712	107	9	the	the	DET
esrj-38712	107	10	outputs	output	NOUN
esrj-38712	107	11	are	be	AUX
esrj-38712	107	12	calculated	calculate	VERB
esrj-38712	107	13	and	and	CCONJ
esrj-38712	107	14	the	the	DET
esrj-38712	107	15	errors	error	NOUN
esrj-38712	107	16	at	at	ADP
esrj-38712	107	17	the	the	DET
esrj-38712	107	18	actual	actual	ADJ
esrj-38712	107	19	output	output	NOUN
esrj-38712	107	20	unit	unit	NOUN
esrj-38712	107	21	are	be	AUX
esrj-38712	107	22	determined	determine	VERB
esrj-38712	107	23	(	(	PUNCT
esrj-38712	107	24	demuth	demuth	VERB
esrj-38712	107	25	et	et	PROPN
esrj-38712	107	26	al	al	PROPN
esrj-38712	107	27	.	.	PROPN
esrj-38712	107	28	2007	2007	NUM
esrj-38712	107	29	)	)	PUNCT
esrj-38712	107	30	.	.	PUNCT
esrj-38712	108	1	if	if	SCONJ
esrj-38712	108	2	the	the	DET
esrj-38712	108	3	obtained	obtain	VERB
esrj-38712	108	4	error	error	NOUN
esrj-38712	108	5	(	(	PUNCT
esrj-38712	108	6	mean	mean	INTJ
esrj-38712	108	7	squared	square	VERB
esrj-38712	108	8	difference	difference	NOUN
esrj-38712	108	9	between	between	ADP
esrj-38712	108	10	the	the	DET
esrj-38712	108	11	actual	actual	ADJ
esrj-38712	108	12	and	and	CCONJ
esrj-38712	108	13	predicted	predict	VERB
esrj-38712	108	14	outputs	output	NOUN
esrj-38712	108	15	)	)	PUNCT
esrj-38712	108	16	is	be	AUX
esrj-38712	108	17	more	more	ADJ
esrj-38712	108	18	than	than	ADP
esrj-38712	108	19	adequate	adequate	ADJ
esrj-38712	108	20	,	,	PUNCT
esrj-38712	108	21	then	then	ADV
esrj-38712	108	22	the	the	DET
esrj-38712	108	23	error	error	NOUN
esrj-38712	108	24	is	be	AUX
esrj-38712	108	25	propagated	propagate	VERB
esrj-38712	108	26	back	back	ADV
esrj-38712	108	27	through	through	ADP
esrj-38712	108	28	the	the	DET
esrj-38712	108	29	network	network	NOUN
esrj-38712	108	30	and	and	CCONJ
esrj-38712	108	31	updates	update	VERB
esrj-38712	108	32	the	the	DET
esrj-38712	108	33	individual	individual	ADJ
esrj-38712	108	34	weights	weight	NOUN
esrj-38712	108	35	.	.	PUNCT
esrj-38712	109	1	this	this	DET
esrj-38712	109	2	procedure	procedure	NOUN
esrj-38712	109	3	is	be	AUX
esrj-38712	109	4	called	call	VERB
esrj-38712	109	5	backward	backward	ADJ
esrj-38712	109	6	pass	pass	NOUN
esrj-38712	109	7	.	.	PUNCT
esrj-38712	110	1	forward	forward	ADV
esrj-38712	110	2	and	and	CCONJ
esrj-38712	110	3	backward	backward	ADJ
esrj-38712	110	4	passes	pass	NOUN
esrj-38712	110	5	are	be	AUX
esrj-38712	110	6	repeated	repeat	VERB
esrj-38712	110	7	several	several	ADJ
esrj-38712	110	8	times	time	NOUN
esrj-38712	110	9	until	until	SCONJ
esrj-38712	110	10	the	the	DET
esrj-38712	110	11	error	error	NOUN
esrj-38712	110	12	is	be	AUX
esrj-38712	110	13	converged	converge	VERB
esrj-38712	110	14	to	to	ADP
esrj-38712	110	15	a	a	DET
esrj-38712	110	16	level	level	NOUN
esrj-38712	110	17	specified	specify	VERB
esrj-38712	110	18	by	by	ADP
esrj-38712	110	19	a	a	DET
esrj-38712	110	20	cost	cost	NOUN
esrj-38712	110	21	function	function	NOUN
esrj-38712	110	22	such	such	ADJ
esrj-38712	110	23	as	as	ADP
esrj-38712	110	24	mean	mean	ADJ
esrj-38712	110	25	square	square	ADJ
esrj-38712	110	26	error	error	NOUN
esrj-38712	110	27	(	(	PUNCT
esrj-38712	110	28	mse	mse	NOUN
esrj-38712	110	29	)	)	PUNCT
esrj-38712	110	30	or	or	CCONJ
esrj-38712	110	31	root	root	NOUN
esrj-38712	110	32	mean	mean	ADJ
esrj-38712	110	33	square	square	ADJ
esrj-38712	110	34	error	error	NOUN
esrj-38712	110	35	(	(	PUNCT
esrj-38712	110	36	simpson	simpson	PROPN
esrj-38712	110	37	1990	1990	NUM
esrj-38712	110	38	,	,	PUNCT
esrj-38712	110	39	kosko	kosko	ADV
esrj-38712	110	40	1994	1994	NUM
esrj-38712	110	41	,	,	PUNCT
esrj-38712	110	42	singh	singh	PROPN
esrj-38712	110	43	et	et	PROPN
esrj-38712	110	44	al	al	PROPN
esrj-38712	110	45	.	.	PROPN
esrj-38712	110	46	2004	2004	NUM
esrj-38712	110	47	)	)	PUNCT
esrj-38712	110	48	.	.	PUNCT
esrj-38712	111	1	3	3	X
esrj-38712	111	2	.	.	X
esrj-38712	111	3	dataset	dataset	NOUN
esrj-38712	111	4	using	use	VERB
esrj-38712	111	5	the	the	DET
esrj-38712	111	6	procedure	procedure	NOUN
esrj-38712	111	7	suggested	suggest	VERB
esrj-38712	111	8	by	by	ADP
esrj-38712	111	9	astm	astm	PROPN
esrj-38712	111	10	(	(	PUNCT
esrj-38712	111	11	d4945	d4945	PROPN
esrj-38712	111	12	-	-	PUNCT
esrj-38712	111	13	08	08	NUM
esrj-38712	111	14	)	)	PUNCT
esrj-38712	111	15	,	,	PUNCT
esrj-38712	111	16	36	36	NUM
esrj-38712	111	17	pda	pda	NOUN
esrj-38712	111	18	tests	test	NOUN
esrj-38712	111	19	were	be	AUX
esrj-38712	111	20	conducted	conduct	VERB
esrj-38712	111	21	at	at	ADP
esrj-38712	111	22	various	various	ADJ
esrj-38712	111	23	project	project	NOUN
esrj-38712	111	24	sites	site	NOUN
esrj-38712	111	25	in	in	ADP
esrj-38712	111	26	indonesia	indonesia	PROPN
esrj-38712	111	27	.	.	PUNCT
esrj-38712	112	1	the	the	DET
esrj-38712	112	2	tested	test	VERB
esrj-38712	112	3	piles	pile	NOUN
esrj-38712	112	4	were	be	AUX
esrj-38712	112	5	reinforced	reinforce	VERB
esrj-38712	112	6	and	and	CCONJ
esrj-38712	112	7	pre	pre	ADJ
esrj-38712	112	8	-	-	ADJ
esrj-38712	112	9	stressed	stressed	ADJ
esrj-38712	112	10	concrete	concrete	ADJ
esrj-38712	112	11	piles	pile	NOUN
esrj-38712	112	12	with	with	ADP
esrj-38712	112	13	different	different	ADJ
esrj-38712	112	14	diameters	diameter	NOUN
esrj-38712	112	15	and	and	CCONJ
esrj-38712	112	16	lengths	length	NOUN
esrj-38712	112	17	.	.	PUNCT
esrj-38712	113	1	most	most	ADJ
esrj-38712	113	2	of	of	ADP
esrj-38712	113	3	the	the	DET
esrj-38712	113	4	tests	test	NOUN
esrj-38712	113	5	were	be	AUX
esrj-38712	113	6	conducted	conduct	VERB
esrj-38712	113	7	in	in	ADP
esrj-38712	113	8	cohesionless	cohesionless	NOUN
esrj-38712	113	9	soils	soil	NOUN
esrj-38712	113	10	.	.	PUNCT
esrj-38712	114	1	an	an	DET
esrj-38712	114	2	example	example	NOUN
esrj-38712	114	3	of	of	ADP
esrj-38712	114	4	pda	pda	NOUN
esrj-38712	114	5	test	test	NOUN
esrj-38712	114	6	performed	perform	VERB
esrj-38712	114	7	in	in	ADP
esrj-38712	114	8	one	one	NUM
esrj-38712	114	9	of	of	ADP
esrj-38712	114	10	the	the	DET
esrj-38712	114	11	project	project	NOUN
esrj-38712	114	12	sites	site	NOUN
esrj-38712	114	13	is	be	AUX
esrj-38712	114	14	shown	show	VERB
esrj-38712	114	15	in	in	ADP
esrj-38712	114	16	figure	figure	NOUN
esrj-38712	114	17	2	2	NUM
esrj-38712	114	18	.	.	PUNCT
esrj-38712	114	19	to	to	PART
esrj-38712	114	20	represent	represent	VERB
esrj-38712	114	21	soil	soil	NOUN
esrj-38712	114	22	characteristics	characteristic	NOUN
esrj-38712	114	23	,	,	PUNCT
esrj-38712	114	24	the	the	DET
esrj-38712	114	25	results	result	NOUN
esrj-38712	114	26	of	of	ADP
esrj-38712	114	27	spt	spt	NOUN
esrj-38712	114	28	were	be	AUX
esrj-38712	114	29	collected	collect	VERB
esrj-38712	114	30	.	.	PUNCT
esrj-38712	115	1	the	the	DET
esrj-38712	115	2	average	average	ADJ
esrj-38712	115	3	spt	spt	NOUN
esrj-38712	115	4	(	(	PUNCT
esrj-38712	115	5	n	n	CCONJ
esrj-38712	115	6	)	)	PUNCT
esrj-38712	115	7	values	value	NOUN
esrj-38712	115	8	along	along	ADP
esrj-38712	115	9	the	the	DET
esrj-38712	115	10	pile	pile	ADJ
esrj-38712	115	11	shaft	shaft	NOUN
esrj-38712	115	12	and	and	CCONJ
esrj-38712	115	13	tip	tip	NOUN
esrj-38712	115	14	were	be	AUX
esrj-38712	115	15	calculated	calculate	VERB
esrj-38712	115	16	.	.	PUNCT
esrj-38712	116	1	it	it	PRON
esrj-38712	116	2	is	be	AUX
esrj-38712	116	3	worth	worth	ADJ
esrj-38712	116	4	mentioning	mention	VERB
esrj-38712	116	5	that	that	PRON
esrj-38712	116	6	for	for	ADP
esrj-38712	116	7	obtaining	obtain	VERB
esrj-38712	116	8	the	the	DET
esrj-38712	116	9	average	average	ADJ
esrj-38712	116	10	spt	spt	NOUN
esrj-38712	116	11	(	(	PUNCT
esrj-38712	116	12	n	n	CCONJ
esrj-38712	116	13	)	)	PUNCT
esrj-38712	116	14	value	value	NOUN
esrj-38712	116	15	around	around	ADP
esrj-38712	116	16	the	the	DET
esrj-38712	116	17	pile	pile	ADJ
esrj-38712	116	18	tip	tip	NOUN
esrj-38712	116	19	,	,	PUNCT
esrj-38712	116	20	the	the	DET
esrj-38712	116	21	meyerhof	meyerhof	NOUN
esrj-38712	116	22	’s	’s	PART
esrj-38712	116	23	recommendation	recommendation	NOUN
esrj-38712	116	24	(	(	PUNCT
esrj-38712	116	25	1976	1976	NUM
esrj-38712	116	26	)	)	PUNCT
esrj-38712	116	27	was	be	AUX
esrj-38712	116	28	considered	consider	VERB
esrj-38712	116	29	.	.	PUNCT
esrj-38712	117	1	the	the	DET
esrj-38712	117	2	average	average	ADJ
esrj-38712	117	3	spt	spt	NOUN
esrj-38712	117	4	(	(	PUNCT
esrj-38712	117	5	n	n	CCONJ
esrj-38712	117	6	)	)	PUNCT
esrj-38712	117	7	value	value	NOUN
esrj-38712	117	8	for	for	ADP
esrj-38712	117	9	10d	10d	NOUN
esrj-38712	117	10	above	above	ADP
esrj-38712	117	11	and	and	CCONJ
esrj-38712	117	12	4d	4d	NUM
esrj-38712	117	13	below	below	ADP
esrj-38712	117	14	the	the	DET
esrj-38712	117	15	pile	pile	ADJ
esrj-38712	117	16	tip	tip	NOUN
esrj-38712	117	17	was	be	AUX
esrj-38712	117	18	obtained	obtain	VERB
esrj-38712	117	19	where	where	SCONJ
esrj-38712	117	20	d	d	NOUN
esrj-38712	117	21	represents	represent	VERB
esrj-38712	117	22	pile	pile	ADJ
esrj-38712	117	23	diameter	diameter	NOUN
esrj-38712	117	24	.	.	PUNCT
esrj-38712	118	1	table	table	NOUN
esrj-38712	118	2	1	1	NUM
esrj-38712	118	3	lists	list	NOUN
esrj-38712	118	4	the	the	DET
esrj-38712	118	5	pda	pda	NOUN
esrj-38712	118	6	test	test	NOUN
esrj-38712	118	7	results	result	NOUN
esrj-38712	118	8	including	include	VERB
esrj-38712	118	9	ultimate	ultimate	ADJ
esrj-38712	118	10	bearing	bearing	NOUN
esrj-38712	118	11	capacity	capacity	NOUN
esrj-38712	118	12	of	of	ADP
esrj-38712	118	13	piles	pile	NOUN
esrj-38712	118	14	,	,	PUNCT
esrj-38712	118	15	pile	pile	NOUN
esrj-38712	118	16	set	set	NOUN
esrj-38712	118	17	,	,	PUNCT
esrj-38712	118	18	pile	pile	ADJ
esrj-38712	118	19	shaft	shaft	NOUN
esrj-38712	118	20	and	and	CCONJ
esrj-38712	118	21	tip	tip	NOUN
esrj-38712	118	22	resistances	resistance	NOUN
esrj-38712	118	23	.	.	PUNCT
esrj-38712	119	1	in	in	ADP
esrj-38712	119	2	addition	addition	NOUN
esrj-38712	119	3	to	to	ADP
esrj-38712	119	4	pda	pda	NOUN
esrj-38712	119	5	results	result	NOUN
esrj-38712	119	6	,	,	PUNCT
esrj-38712	119	7	pile	pile	VERB
esrj-38712	119	8	geometrical	geometrical	ADJ
esrj-38712	119	9	characteristic	characteristic	NOUN
esrj-38712	119	10	and	and	CCONJ
esrj-38712	119	11	the	the	DET
esrj-38712	119	12	average	average	ADJ
esrj-38712	119	13	spt	spt	NOUN
esrj-38712	119	14	(	(	PUNCT
esrj-38712	119	15	n	n	CCONJ
esrj-38712	119	16	)	)	PUNCT
esrj-38712	119	17	values	value	NOUN
esrj-38712	119	18	around	around	ADP
esrj-38712	119	19	the	the	DET
esrj-38712	119	20	pile	pile	ADJ
esrj-38712	119	21	shaft	shaft	NOUN
esrj-38712	119	22	and	and	CCONJ
esrj-38712	119	23	tip	tip	NOUN
esrj-38712	119	24	are	be	AUX
esrj-38712	119	25	also	also	ADV
esrj-38712	119	26	tabulated	tabulate	VERB
esrj-38712	119	27	in	in	ADP
esrj-38712	119	28	table	table	NOUN
esrj-38712	119	29	1	1	NUM
esrj-38712	119	30	.	.	PUNCT
esrj-38712	119	31	figure	figure	NOUN
esrj-38712	119	32	2	2	NUM
esrj-38712	119	33	.	.	PUNCT
esrj-38712	119	34	pda	pda	NOUN
esrj-38712	119	35	test	test	NOUN
esrj-38712	119	36	4	4	NUM
esrj-38712	119	37	.	.	PUNCT
esrj-38712	119	38	model	model	NOUN
esrj-38712	119	39	development	development	NOUN
esrj-38712	119	40	the	the	DET
esrj-38712	119	41	prediction	prediction	NOUN
esrj-38712	119	42	performance	performance	NOUN
esrj-38712	119	43	of	of	ADP
esrj-38712	119	44	anns	anns	NOUN
esrj-38712	119	45	is	be	AUX
esrj-38712	119	46	closely	closely	ADV
esrj-38712	119	47	related	relate	VERB
esrj-38712	119	48	to	to	ADP
esrj-38712	119	49	the	the	DET
esrj-38712	119	50	architecture	architecture	NOUN
esrj-38712	119	51	of	of	ADP
esrj-38712	119	52	the	the	DET
esrj-38712	119	53	selected	select	VERB
esrj-38712	119	54	network	network	NOUN
esrj-38712	119	55	.	.	PUNCT
esrj-38712	120	1	therefore	therefore	ADV
esrj-38712	120	2	,	,	PUNCT
esrj-38712	120	3	defining	define	VERB
esrj-38712	120	4	the	the	DET
esrj-38712	120	5	optimum	optimum	ADJ
esrj-38712	120	6	network	network	NOUN
esrj-38712	120	7	architecture	architecture	NOUN
esrj-38712	120	8	is	be	AUX
esrj-38712	120	9	crucial	crucial	ADJ
esrj-38712	120	10	in	in	ADP
esrj-38712	120	11	designing	design	VERB
esrj-38712	120	12	ann	ann	PROPN
esrj-38712	120	13	models	model	NOUN
esrj-38712	120	14	.	.	PUNCT
esrj-38712	121	1	hornik	hornik	PROPN
esrj-38712	121	2	et	et	PROPN
esrj-38712	121	3	al	al	PROPN
esrj-38712	121	4	.	.	PROPN
esrj-38712	122	1	(	(	PUNCT
esrj-38712	122	2	1989	1989	NUM
esrj-38712	122	3	)	)	PUNCT
esrj-38712	122	4	mentioned	mention	VERB
esrj-38712	122	5	that	that	SCONJ
esrj-38712	122	6	a	a	DET
esrj-38712	122	7	network	network	NOUN
esrj-38712	122	8	with	with	ADP
esrj-38712	122	9	one	one	NUM
esrj-38712	122	10	hidden	hide	VERB
esrj-38712	122	11	layer	layer	NOUN
esrj-38712	122	12	can	can	AUX
esrj-38712	122	13	approximate	approximate	VERB
esrj-38712	122	14	any	any	DET
esrj-38712	122	15	continuous	continuous	ADJ
esrj-38712	122	16	function	function	NOUN
esrj-38712	122	17	in	in	ADP
esrj-38712	122	18	ann	ann	PROPN
esrj-38712	122	19	.	.	PUNCT
esrj-38712	123	1	lawrence	lawrence	PROPN
esrj-38712	123	2	(	(	PUNCT
esrj-38712	123	3	1994	1994	NUM
esrj-38712	123	4	)	)	PUNCT
esrj-38712	123	5	reported	report	VERB
esrj-38712	123	6	that	that	SCONJ
esrj-38712	123	7	in	in	ADP
esrj-38712	123	8	designing	design	VERB
esrj-38712	123	9	ann	ann	PROPN
esrj-38712	123	10	architectures	architecture	NOUN
esrj-38712	123	11	,	,	PUNCT
esrj-38712	123	12	increasing	increase	VERB
esrj-38712	123	13	the	the	DET
esrj-38712	123	14	number	number	NOUN
esrj-38712	123	15	of	of	ADP
esrj-38712	123	16	the	the	DET
esrj-38712	123	17	hidden	hidden	ADJ
esrj-38712	123	18	layers	layer	NOUN
esrj-38712	123	19	should	should	AUX
esrj-38712	123	20	be	be	AUX
esrj-38712	123	21	the	the	DET
esrj-38712	123	22	last	last	ADJ
esrj-38712	123	23	options	option	NOUN
esrj-38712	123	24	;	;	PUNCT
esrj-38712	123	25	instead	instead	ADV
esrj-38712	123	26	focus	focus	VERB
esrj-38712	123	27	should	should	AUX
esrj-38712	123	28	be	be	AUX
esrj-38712	123	29	on	on	ADP
esrj-38712	123	30	adding	add	VERB
esrj-38712	123	31	the	the	DET
esrj-38712	123	32	number	number	NOUN
esrj-38712	123	33	of	of	ADP
esrj-38712	123	34	hidden	hide	VERB
esrj-38712	123	35	nodes	node	NOUN
esrj-38712	123	36	.	.	PUNCT
esrj-38712	124	1	nevertheless	nevertheless	ADV
esrj-38712	124	2	,	,	PUNCT
esrj-38712	124	3	for	for	ADP
esrj-38712	124	4	network	network	NOUN
esrj-38712	124	5	construction	construction	NOUN
esrj-38712	124	6	,	,	PUNCT
esrj-38712	124	7	the	the	DET
esrj-38712	124	8	optimum	optimum	ADJ
esrj-38712	124	9	number	number	NOUN
esrj-38712	124	10	of	of	ADP
esrj-38712	124	11	hidden	hide	VERB
esrj-38712	124	12	nodes	node	NOUN
esrj-38712	124	13	should	should	AUX
esrj-38712	124	14	be	be	AUX
esrj-38712	124	15	determined	determine	VERB
esrj-38712	124	16	.	.	PUNCT
esrj-38712	125	1	several	several	ADJ
esrj-38712	125	2	researchers	researcher	NOUN
esrj-38712	125	3	suggested	suggest	VERB
esrj-38712	125	4	that	that	SCONJ
esrj-38712	125	5	numbers	number	NOUN
esrj-38712	125	6	of	of	ADP
esrj-38712	125	7	hidden	hide	VERB
esrj-38712	125	8	nodes	node	NOUN
esrj-38712	125	9	are	be	AUX
esrj-38712	125	10	related	relate	VERB
esrj-38712	125	11	to	to	ADP
esrj-38712	125	12	the	the	DET
esrj-38712	125	13	number	number	NOUN
esrj-38712	125	14	of	of	ADP
esrj-38712	125	15	input	input	NOUN
esrj-38712	125	16	and	and	CCONJ
esrj-38712	125	17	output	output	NOUN
esrj-38712	125	18	parameters	parameter	NOUN
esrj-38712	125	19	.	.	PUNCT
esrj-38712	126	1	in	in	ADP
esrj-38712	126	2	table	table	NOUN
esrj-38712	126	3	2	2	NUM
esrj-38712	126	4	some	some	PRON
esrj-38712	126	5	of	of	ADP
esrj-38712	126	6	the	the	DET
esrj-38712	126	7	formulas	formula	NOUN
esrj-38712	126	8	suggested	suggest	VERB
esrj-38712	126	9	by	by	ADP
esrj-38712	126	10	a	a	DET
esrj-38712	126	11	number	number	NOUN
esrj-38712	126	12	of	of	ADP
esrj-38712	126	13	researchers	researcher	NOUN
esrj-38712	126	14	for	for	ADP
esrj-38712	126	15	obtaining	obtain	VERB
esrj-38712	126	16	the	the	DET
esrj-38712	126	17	optimum	optimum	ADJ
esrj-38712	126	18	number	number	NOUN
esrj-38712	126	19	of	of	ADP
esrj-38712	126	20	hidden	hide	VERB
esrj-38712	126	21	nodes	node	NOUN
esrj-38712	126	22	are	be	AUX
esrj-38712	126	23	presented	present	VERB
esrj-38712	126	24	.	.	PUNCT
esrj-38712	127	1	however	however	ADV
esrj-38712	127	2	,	,	PUNCT
esrj-38712	127	3	the	the	DET
esrj-38712	127	4	network	network	NOUN
esrj-38712	127	5	performance	performance	NOUN
esrj-38712	127	6	is	be	AUX
esrj-38712	127	7	often	often	ADV
esrj-38712	127	8	evaluated	evaluate	VERB
esrj-38712	127	9	based	base	VERB
esrj-38712	127	10	on	on	ADP
esrj-38712	127	11	the	the	DET
esrj-38712	127	12	root	root	NOUN
esrj-38712	127	13	mean	mean	VERB
esrj-38712	127	14	squared	square	VERB
esrj-38712	127	15	error	error	NOUN
esrj-38712	127	16	(	(	PUNCT
esrj-38712	127	17	rmse	rmse	NOUN
esrj-38712	127	18	)	)	PUNCT
esrj-38712	127	19	as	as	ADV
esrj-38712	127	20	well	well	ADV
esrj-38712	127	21	as	as	ADP
esrj-38712	127	22	regression	regression	NOUN
esrj-38712	127	23	values	value	NOUN
esrj-38712	127	24	.	.	PUNCT
esrj-38712	128	1	that	that	PRON
esrj-38712	128	2	is	be	AUX
esrj-38712	128	3	to	to	PART
esrj-38712	128	4	say	say	VERB
esrj-38712	128	5	,	,	PUNCT
esrj-38712	128	6	using	use	VERB
esrj-38712	128	7	the	the	DET
esrj-38712	128	8	trial	trial	NOUN
esrj-38712	128	9	-	-	PUNCT
esrj-38712	128	10	and	and	CCONJ
esrj-38712	128	11	-	-	PUNCT
esrj-38712	128	12	error	error	NOUN
esrj-38712	128	13	method	method	NOUN
esrj-38712	128	14	,	,	PUNCT
esrj-38712	128	15	several	several	ADJ
esrj-38712	128	16	network	network	NOUN
esrj-38712	128	17	architectures	architecture	NOUN
esrj-38712	128	18	are	be	AUX
esrj-38712	128	19	trained	train	VERB
esrj-38712	128	20	with	with	ADP
esrj-38712	128	21	same	same	ADJ
esrj-38712	128	22	input	input	NOUN
esrj-38712	128	23	and	and	CCONJ
esrj-38712	128	24	output	output	NOUN
esrj-38712	128	25	data	datum	NOUN
esrj-38712	128	26	and	and	CCONJ
esrj-38712	128	27	the	the	DET
esrj-38712	128	28	network	network	NOUN
esrj-38712	128	29	that	that	PRON
esrj-38712	128	30	performs	perform	VERB
esrj-38712	128	31	best	well	ADV
esrj-38712	128	32	is	be	AUX
esrj-38712	128	33	selected	select	VERB
esrj-38712	128	34	as	as	ADP
esrj-38712	128	35	the	the	DET
esrj-38712	128	36	optimum	optimum	ADJ
esrj-38712	128	37	network	network	NOUN
esrj-38712	128	38	.	.	PUNCT
esrj-38712	129	1	88	88	NUM
esrj-38712	129	2	ehsan	ehsan	PROPN
esrj-38712	129	3	momeni	momeni	PROPN
esrj-38712	129	4	,	,	PUNCT
esrj-38712	129	5	ramli	ramli	PROPN
esrj-38712	129	6	nazir	nazir	PROPN
esrj-38712	129	7	,	,	PUNCT
esrj-38712	129	8	danial	danial	PROPN
esrj-38712	129	9	jahed	jahe	VERB
esrj-38712	129	10	armaghani	armaghani	PROPN
esrj-38712	129	11	,	,	PUNCT
esrj-38712	129	12	harnedi	harnedi	PROPN
esrj-38712	129	13	maizir	maizir	PROPN
esrj-38712	129	14	table	table	NOUN
esrj-38712	129	15	1	1	NUM
esrj-38712	129	16	.	.	PUNCT
esrj-38712	129	17	dataset	dataset	NOUN
esrj-38712	129	18	used	use	VERB
esrj-38712	129	19	for	for	ADP
esrj-38712	129	20	ann	ann	PROPN
esrj-38712	129	21	-	-	PUNCT
esrj-38712	129	22	based	base	VERB
esrj-38712	129	23	predictive	predictive	ADJ
esrj-38712	129	24	model	model	NOUN
esrj-38712	129	25	.	.	PUNCT
esrj-38712	130	1	no	no	INTJ
esrj-38712	130	2	.	.	PUNCT
esrj-38712	131	1	pile	pile	ADJ
esrj-38712	131	2	name	name	NOUN
esrj-38712	131	3	pile	pile	NOUN
esrj-38712	131	4	length	length	NOUN
esrj-38712	131	5	(	(	PUNCT
esrj-38712	131	6	m	m	NOUN
esrj-38712	131	7	)	)	PUNCT
esrj-38712	131	8	pile	pile	NOUN
esrj-38712	131	9	set	set	NOUN
esrj-38712	131	10	(	(	PUNCT
esrj-38712	131	11	mm	mm	NOUN
esrj-38712	131	12	)	)	PUNCT
esrj-38712	131	13	pile	pile	ADJ
esrj-38712	131	14	area	area	NOUN
esrj-38712	131	15	(	(	PUNCT
esrj-38712	131	16	cm2	cm2	NOUN
esrj-38712	131	17	)	)	PUNCT
esrj-38712	131	18	nshaft	nshaft	PROPN
esrj-38712	131	19	ntip	ntip	PROPN
esrj-38712	131	20	qu	qu	PROPN
esrj-38712	131	21	(	(	PUNCT
esrj-38712	131	22	kn	kn	PROPN
esrj-38712	131	23	)	)	PUNCT
esrj-38712	131	24	qs	qs	PROPN
esrj-38712	131	25	(	(	PUNCT
esrj-38712	131	26	kn	kn	PROPN
esrj-38712	131	27	)	)	PUNCT
esrj-38712	131	28	qp	qp	PROPN
esrj-38712	131	29	(	(	PUNCT
esrj-38712	131	30	kn	kn	PROPN
esrj-38712	131	31	)	)	PUNCT
esrj-38712	131	32	1	1	NUM
esrj-38712	131	33	kn	kn	NOUN
esrj-38712	131	34	189	189	NUM
esrj-38712	131	35	25	25	NUM
esrj-38712	131	36	16	16	NUM
esrj-38712	131	37	1159.25	1159.25	NUM
esrj-38712	131	38	9	9	NUM
esrj-38712	131	39	30	30	NUM
esrj-38712	131	40	2988	2988	NUM
esrj-38712	131	41	1665	1665	NUM
esrj-38712	131	42	1323	1323	NUM
esrj-38712	131	43	2	2	NUM
esrj-38712	131	44	kn	kn	NOUN
esrj-38712	131	45	204	204	NUM
esrj-38712	131	46	24.7	24.7	NUM
esrj-38712	131	47	23	23	NUM
esrj-38712	131	48	1159.25	1159.25	NUM
esrj-38712	131	49	9	9	NUM
esrj-38712	131	50	30	30	NUM
esrj-38712	131	51	3940	3940	NUM
esrj-38712	131	52	1445	1445	NUM
esrj-38712	131	53	2495	2495	NUM
esrj-38712	131	54	3	3	NUM
esrj-38712	131	55	kn	kn	NOUN
esrj-38712	131	56	215	215	NUM
esrj-38712	131	57	19	19	NUM
esrj-38712	131	58	19	19	NUM
esrj-38712	131	59	1159.25	1159.25	NUM
esrj-38712	131	60	3	3	NUM
esrj-38712	131	61	10	10	NUM
esrj-38712	131	62	3200	3200	NUM
esrj-38712	131	63	1966	1966	NUM
esrj-38712	131	64	1234	1234	NUM
esrj-38712	131	65	4	4	NUM
esrj-38712	131	66	p	p	NOUN
esrj-38712	131	67	105	105	NUM
esrj-38712	131	68	bp6	bp6	NOUN
esrj-38712	131	69	22.7	22.7	NUM
esrj-38712	131	70	3	3	NUM
esrj-38712	131	71	11309.73	11309.73	NUM
esrj-38712	131	72	7	7	NUM
esrj-38712	131	73	37	37	NUM
esrj-38712	131	74	6753	6753	NUM
esrj-38712	131	75	3649	3649	NUM
esrj-38712	131	76	3103	3103	NUM
esrj-38712	131	77	5	5	NUM
esrj-38712	131	78	fe	fe	X
esrj-38712	131	79	p3	p3	PROPN
esrj-38712	131	80	bp5	bp5	PROPN
esrj-38712	131	81	23	23	NUM
esrj-38712	131	82	4	4	NUM
esrj-38712	131	83	11309.73	11309.73	NUM
esrj-38712	131	84	4	4	NUM
esrj-38712	131	85	21	21	NUM
esrj-38712	131	86	8501	8501	NUM
esrj-38712	131	87	6035	6035	NUM
esrj-38712	131	88	2466	2466	NUM
esrj-38712	131	89	6	6	NUM
esrj-38712	131	90	fe	fe	NOUN
esrj-38712	131	91	p6	p6	ADJ
esrj-38712	131	92	bp6	bp6	NOUN
esrj-38712	131	93	23	23	NUM
esrj-38712	131	94	3	3	NUM
esrj-38712	131	95	11309.73	11309.73	NUM
esrj-38712	131	96	5	5	NUM
esrj-38712	131	97	21	21	NUM
esrj-38712	131	98	5322	5322	NUM
esrj-38712	131	99	3529	3529	NUM
esrj-38712	131	100	1794	1794	NUM
esrj-38712	131	101	7	7	NUM
esrj-38712	131	102	p	p	X
esrj-38712	131	103	112	112	NUM
esrj-38712	131	104	bp	bp	PROPN
esrj-38712	131	105	12	12	NUM
esrj-38712	131	106	21	21	NUM
esrj-38712	131	107	3	3	NUM
esrj-38712	131	108	11309.73	11309.73	NUM
esrj-38712	131	109	5	5	NUM
esrj-38712	131	110	15	15	NUM
esrj-38712	131	111	6089	6089	NUM
esrj-38712	131	112	4293	4293	NUM
esrj-38712	131	113	1796	1796	NUM
esrj-38712	131	114	8	8	NUM
esrj-38712	131	115	p	p	NOUN
esrj-38712	131	116	108	108	NUM
esrj-38712	131	117	bp	bp	PROPN
esrj-38712	131	118	11	11	NUM
esrj-38712	131	119	23	23	NUM
esrj-38712	131	120	5	5	NUM
esrj-38712	131	121	11309.73	11309.73	NUM
esrj-38712	131	122	3	3	NUM
esrj-38712	131	123	12	12	NUM
esrj-38712	131	124	8500	8500	NUM
esrj-38712	131	125	5903	5903	NUM
esrj-38712	131	126	2597	2597	NUM
esrj-38712	131	127	9	9	NUM
esrj-38712	131	128	p	p	SYM
esrj-38712	131	129	109	109	NUM
esrj-38712	131	130	bp	bp	PROPN
esrj-38712	131	131	16	16	NUM
esrj-38712	131	132	23	23	NUM
esrj-38712	131	133	4	4	NUM
esrj-38712	131	134	11309.73	11309.73	NUM
esrj-38712	131	135	3	3	NUM
esrj-38712	131	136	12	12	NUM
esrj-38712	131	137	10930	10930	NUM
esrj-38712	131	138	6412	6412	NUM
esrj-38712	131	139	4518	4518	NUM
esrj-38712	131	140	10	10	NUM
esrj-38712	131	141	p	p	NOUN
esrj-38712	131	142	105	105	NUM
esrj-38712	131	143	b2	b2	NOUN
esrj-38712	131	144	23	23	NUM
esrj-38712	131	145	7	7	NUM
esrj-38712	131	146	11309.73	11309.73	NUM
esrj-38712	131	147	4	4	NUM
esrj-38712	131	148	13	13	NUM
esrj-38712	131	149	11601	11601	NUM
esrj-38712	131	150	7211	7211	NUM
esrj-38712	131	151	4390	4390	NUM
esrj-38712	131	152	11	11	NUM
esrj-38712	132	1	p	p	PROPN
esrj-38712	132	2	105	105	NUM
esrj-38712	132	3	b6	b6	NOUN
esrj-38712	132	4	22.7	22.7	NUM
esrj-38712	132	5	4	4	NUM
esrj-38712	132	6	11309.73	11309.73	NUM
esrj-38712	132	7	4	4	NUM
esrj-38712	132	8	13	13	NUM
esrj-38712	132	9	8755	8755	NUM
esrj-38712	132	10	5535	5535	NUM
esrj-38712	132	11	3220	3220	NUM
esrj-38712	132	12	12	12	NUM
esrj-38712	132	13	p	p	NOUN
esrj-38712	132	14	4	4	NUM
esrj-38712	132	15	a	a	DET
esrj-38712	132	16	30	30	NUM
esrj-38712	132	17	7	7	NUM
esrj-38712	132	18	1159.25	1159.25	NUM
esrj-38712	132	19	20	20	NUM
esrj-38712	132	20	27	27	NUM
esrj-38712	132	21	1347	1347	NUM
esrj-38712	132	22	1197	1197	NUM
esrj-38712	132	23	150	150	NUM
esrj-38712	132	24	13	13	NUM
esrj-38712	132	25	p	p	NOUN
esrj-38712	132	26	18	18	NUM
esrj-38712	132	27	f	f	NOUN
esrj-38712	132	28	30	30	NUM
esrj-38712	132	29	7	7	NUM
esrj-38712	132	30	1159.25	1159.25	NUM
esrj-38712	132	31	20	20	NUM
esrj-38712	132	32	27	27	NUM
esrj-38712	132	33	950	950	NUM
esrj-38712	132	34	800	800	NUM
esrj-38712	132	35	150	150	NUM
esrj-38712	132	36	14	14	NUM
esrj-38712	132	37	p	p	NOUN
esrj-38712	132	38	33	33	NUM
esrj-38712	132	39	c	c	NOUN
esrj-38712	132	40	30	30	NUM
esrj-38712	132	41	6	6	NUM
esrj-38712	132	42	1159.25	1159.25	NUM
esrj-38712	132	43	20	20	NUM
esrj-38712	132	44	27	27	NUM
esrj-38712	132	45	1176	1176	NUM
esrj-38712	132	46	980	980	NUM
esrj-38712	132	47	196	196	NUM
esrj-38712	132	48	15	15	NUM
esrj-38712	132	49	p	p	NOUN
esrj-38712	132	50	01	01	NUM
esrj-38712	132	51	34.9	34.9	NUM
esrj-38712	132	52	8	8	NUM
esrj-38712	132	53	876.5	876.5	NUM
esrj-38712	132	54	6	6	NUM
esrj-38712	132	55	10	10	NUM
esrj-38712	132	56	829	829	NUM
esrj-38712	132	57	789	789	NUM
esrj-38712	132	58	40	40	NUM
esrj-38712	132	59	16	16	NUM
esrj-38712	132	60	p	p	NOUN
esrj-38712	132	61	02	02	NUM
esrj-38712	132	62	_	_	NOUN
esrj-38712	132	63	1	1	NUM
esrj-38712	132	64	34.9	34.9	NUM
esrj-38712	132	65	8	8	NUM
esrj-38712	132	66	876.5	876.5	NUM
esrj-38712	132	67	6	6	NUM
esrj-38712	132	68	10	10	NUM
esrj-38712	132	69	605	605	NUM
esrj-38712	132	70	591	591	NUM
esrj-38712	132	71	14	14	NUM
esrj-38712	132	72	17	17	NUM
esrj-38712	132	73	p	p	NOUN
esrj-38712	132	74	04	04	NUM
esrj-38712	132	75	34.8	34.8	NUM
esrj-38712	132	76	13	13	NUM
esrj-38712	132	77	552.92	552.92	NUM
esrj-38712	132	78	6	6	NUM
esrj-38712	132	79	10	10	NUM
esrj-38712	132	80	772	772	NUM
esrj-38712	132	81	744	744	NUM
esrj-38712	132	82	28	28	NUM
esrj-38712	132	83	18	18	NUM
esrj-38712	132	84	p	p	NOUN
esrj-38712	132	85	05	05	NUM
esrj-38712	132	86	34.9	34.9	NUM
esrj-38712	132	87	11	11	NUM
esrj-38712	132	88	552.92	552.92	NUM
esrj-38712	132	89	6	6	NUM
esrj-38712	132	90	10	10	NUM
esrj-38712	132	91	781	781	NUM
esrj-38712	132	92	774	774	NUM
esrj-38712	132	93	7	7	NUM
esrj-38712	132	94	19	19	NUM
esrj-38712	132	95	p	p	NOUN
esrj-38712	132	96	1	1	NUM
esrj-38712	132	97	as6bc.187	as6bc.187	PROPN
esrj-38712	132	98	12.3	12.3	NUM
esrj-38712	132	99	16	16	NUM
esrj-38712	132	100	625	625	NUM
esrj-38712	132	101	13	13	NUM
esrj-38712	132	102	11	11	NUM
esrj-38712	132	103	864	864	NUM
esrj-38712	132	104	764	764	NUM
esrj-38712	132	105	100	100	NUM
esrj-38712	132	106	20	20	NUM
esrj-38712	132	107	p	p	NOUN
esrj-38712	132	108	02	02	NUM
esrj-38712	132	109	as21ed.349	as21ed.349	PROPN
esrj-38712	132	110	10.6	10.6	NUM
esrj-38712	132	111	8	8	NUM
esrj-38712	132	112	625	625	NUM
esrj-38712	132	113	15	15	NUM
esrj-38712	132	114	13	13	NUM
esrj-38712	132	115	689	689	NUM
esrj-38712	132	116	637	637	NUM
esrj-38712	132	117	52	52	NUM
esrj-38712	132	118	21	21	NUM
esrj-38712	132	119	p	p	NOUN
esrj-38712	132	120	03	03	NUM
esrj-38712	132	121	as19ed.355	as19ed.355	PROPN
esrj-38712	132	122	12.8	12.8	NUM
esrj-38712	132	123	13	13	NUM
esrj-38712	132	124	625	625	NUM
esrj-38712	132	125	14	14	NUM
esrj-38712	132	126	12	12	NUM
esrj-38712	132	127	1520	1520	NUM
esrj-38712	132	128	1386	1386	NUM
esrj-38712	132	129	134	134	NUM
esrj-38712	132	130	22	22	NUM
esrj-38712	132	131	p01	p01	NOUN
esrj-38712	132	132	10.3	10.3	NUM
esrj-38712	132	133	9	9	NUM
esrj-38712	132	134	735.13	735.13	NUM
esrj-38712	132	135	18	18	NUM
esrj-38712	132	136	26	26	NUM
esrj-38712	132	137	500	500	NUM
esrj-38712	132	138	485	485	NUM
esrj-38712	132	139	15	15	NUM
esrj-38712	132	140	23	23	NUM
esrj-38712	132	141	p02	p02	NOUN
esrj-38712	132	142	8.8	8.8	NUM
esrj-38712	132	143	11	11	NUM
esrj-38712	132	144	735.13	735.13	NUM
esrj-38712	132	145	19	19	NUM
esrj-38712	132	146	27	27	NUM
esrj-38712	132	147	452	452	NUM
esrj-38712	132	148	438	438	NUM
esrj-38712	132	149	14	14	NUM
esrj-38712	132	150	24	24	NUM
esrj-38712	132	151	p03	p03	NOUN
esrj-38712	132	152	10	10	NUM
esrj-38712	132	153	6	6	NUM
esrj-38712	132	154	735.13	735.13	NUM
esrj-38712	132	155	18	18	NUM
esrj-38712	132	156	25	25	NUM
esrj-38712	132	157	584	584	NUM
esrj-38712	132	158	556	556	NUM
esrj-38712	132	159	29	29	NUM
esrj-38712	132	160	25	25	NUM
esrj-38712	132	161	p04	p04	NOUN
esrj-38712	132	162	101	101	NUM
esrj-38712	132	163	10	10	NUM
esrj-38712	132	164	7	7	NUM
esrj-38712	132	165	735.13	735.13	NUM
esrj-38712	132	166	18	18	NUM
esrj-38712	132	167	25	25	NUM
esrj-38712	132	168	603	603	NUM
esrj-38712	132	169	576	576	NUM
esrj-38712	132	170	27	27	NUM
esrj-38712	132	171	26	26	NUM
esrj-38712	132	172	p06	p06	NOUN
esrj-38712	132	173	-	-	PUNCT
esrj-38712	132	174	112	112	NUM
esrj-38712	132	175	10.3	10.3	NUM
esrj-38712	132	176	6	6	NUM
esrj-38712	132	177	735.13	735.13	NUM
esrj-38712	132	178	18	18	NUM
esrj-38712	132	179	26	26	NUM
esrj-38712	132	180	811	811	NUM
esrj-38712	132	181	768	768	NUM
esrj-38712	132	182	44	44	NUM
esrj-38712	132	183	27	27	NUM
esrj-38712	132	184	p07	p07	NOUN
esrj-38712	132	185	-	-	SYM
esrj-38712	132	186	122	122	NUM
esrj-38712	132	187	10	10	NUM
esrj-38712	132	188	9	9	NUM
esrj-38712	132	189	735.13	735.13	NUM
esrj-38712	132	190	18	18	NUM
esrj-38712	132	191	25	25	NUM
esrj-38712	132	192	770	770	NUM
esrj-38712	132	193	733	733	NUM
esrj-38712	132	194	36	36	NUM
esrj-38712	132	195	28	28	NUM
esrj-38712	132	196	p08	p08	NOUN
esrj-38712	132	197	-	-	PUNCT
esrj-38712	132	198	46	46	NUM
esrj-38712	132	199	10	10	NUM
esrj-38712	132	200	6	6	NUM
esrj-38712	132	201	735.13	735.13	NUM
esrj-38712	132	202	18	18	NUM
esrj-38712	132	203	25	25	NUM
esrj-38712	132	204	748	748	NUM
esrj-38712	132	205	700	700	NUM
esrj-38712	132	206	48	48	NUM
esrj-38712	132	207	29	29	NUM
esrj-38712	132	208	p1	p1	PROPN
esrj-38712	132	209	-	-	PUNCT
esrj-38712	132	210	p330_3	p330_3	NOUN
esrj-38712	132	211	sp	sp	ADP
esrj-38712	132	212	350	350	NUM
esrj-38712	132	213	5.3	5.3	NUM
esrj-38712	132	214	18	18	NUM
esrj-38712	132	215	678.58	678.58	NUM
esrj-38712	132	216	13	13	NUM
esrj-38712	132	217	15	15	NUM
esrj-38712	132	218	788	788	NUM
esrj-38712	132	219	696	696	NUM
esrj-38712	132	220	92	92	NUM
esrj-38712	132	221	30	30	NUM
esrj-38712	132	222	p2	p2	NOUN
esrj-38712	132	223	-	-	PUNCT
esrj-38712	132	224	p169	p169	PROPN
esrj-38712	132	225	sp	sp	ADP
esrj-38712	132	226	350	350	NUM
esrj-38712	132	227	5.3	5.3	NUM
esrj-38712	132	228	15	15	NUM
esrj-38712	132	229	678.58	678.58	NUM
esrj-38712	132	230	13	13	NUM
esrj-38712	132	231	15	15	NUM
esrj-38712	132	232	794	794	NUM
esrj-38712	132	233	700	700	NUM
esrj-38712	132	234	94	94	NUM
esrj-38712	132	235	31	31	NUM
esrj-38712	132	236	p3	p3	PROPN
esrj-38712	132	237	-	-	PUNCT
esrj-38712	132	238	p144	p144	PROPN
esrj-38712	132	239	sp	sp	ADP
esrj-38712	132	240	350	350	NUM
esrj-38712	132	241	5.2	5.2	NUM
esrj-38712	132	242	15	15	NUM
esrj-38712	132	243	678.58	678.58	NUM
esrj-38712	132	244	13	13	NUM
esrj-38712	132	245	15	15	NUM
esrj-38712	132	246	824	824	NUM
esrj-38712	132	247	721	721	NUM
esrj-38712	132	248	103	103	NUM
esrj-38712	132	249	32	32	NUM
esrj-38712	132	250	p1	p1	PROPN
esrj-38712	132	251	-	-	PUNCT
esrj-38712	132	252	e7	e7	PROPN
esrj-38712	132	253	squar	squar	NOUN
esrj-38712	132	254	25	25	NUM
esrj-38712	132	255	19.6	19.6	NUM
esrj-38712	132	256	15	15	NUM
esrj-38712	132	257	625	625	NUM
esrj-38712	132	258	11	11	NUM
esrj-38712	132	259	22	22	NUM
esrj-38712	132	260	1604	1604	NUM
esrj-38712	132	261	1437	1437	NUM
esrj-38712	132	262	167	167	NUM
esrj-38712	132	263	33	33	NUM
esrj-38712	132	264	p2	p2	NOUN
esrj-38712	132	265	-	-	PUNCT
esrj-38712	132	266	h	h	NOUN
esrj-38712	132	267	5_4	5_4	NUM
esrj-38712	132	268	squar	squar	NOUN
esrj-38712	132	269	25	25	NUM
esrj-38712	132	270	19.7	19.7	NUM
esrj-38712	132	271	12	12	NUM
esrj-38712	132	272	625	625	NUM
esrj-38712	132	273	11	11	NUM
esrj-38712	132	274	22	22	NUM
esrj-38712	132	275	1419	1419	NUM
esrj-38712	132	276	1269	1269	NUM
esrj-38712	132	277	150	150	NUM
esrj-38712	132	278	34	34	NUM
esrj-38712	132	279	p3	p3	PROPN
esrj-38712	132	280	-	-	PUNCT
esrj-38712	132	281	h	h	PROPN
esrj-38712	132	282	12	12	NUM
esrj-38712	132	283	squar	squar	NOUN
esrj-38712	132	284	25	25	NUM
esrj-38712	132	285	19.1	19.1	NUM
esrj-38712	132	286	12	12	NUM
esrj-38712	132	287	625	625	NUM
esrj-38712	132	288	9	9	NUM
esrj-38712	132	289	19	19	NUM
esrj-38712	132	290	1920	1920	NUM
esrj-38712	132	291	1720	1720	NUM
esrj-38712	132	292	200	200	NUM
esrj-38712	132	293	35	35	NUM
esrj-38712	132	294	b2	b2	NOUN
esrj-38712	132	295	_	_	NOUN
esrj-38712	132	296	1	1	NUM
esrj-38712	132	297	5	5	NUM
esrj-38712	132	298	16	16	NUM
esrj-38712	132	299	625	625	NUM
esrj-38712	132	300	8	8	NUM
esrj-38712	132	301	11	11	NUM
esrj-38712	132	302	764	764	NUM
esrj-38712	132	303	670	670	NUM
esrj-38712	132	304	94	94	NUM
esrj-38712	132	305	36	36	NUM
esrj-38712	132	306	d4_3	d4_3	NOUN
esrj-38712	132	307	7.4	7.4	NUM
esrj-38712	132	308	17	17	NUM
esrj-38712	132	309	625	625	NUM
esrj-38712	132	310	13	13	NUM
esrj-38712	132	311	19	19	NUM
esrj-38712	132	312	650	650	NUM
esrj-38712	132	313	509	509	NUM
esrj-38712	132	314	141	141	NUM
esrj-38712	132	315	89application	89application	NOUN
esrj-38712	132	316	of	of	ADP
esrj-38712	132	317	artificial	artificial	ADJ
esrj-38712	132	318	neural	neural	ADJ
esrj-38712	132	319	network	network	NOUN
esrj-38712	132	320	for	for	ADP
esrj-38712	132	321	predicting	predict	VERB
esrj-38712	132	322	shaft	shaft	NOUN
esrj-38712	132	323	and	and	CCONJ
esrj-38712	132	324	tip	tip	NOUN
esrj-38712	132	325	resistances	resistance	NOUN
esrj-38712	132	326	of	of	ADP
esrj-38712	132	327	concrete	concrete	ADJ
esrj-38712	132	328	piles	pile	NOUN
esrj-38712	132	329	to	to	PART
esrj-38712	132	330	determine	determine	VERB
esrj-38712	132	331	the	the	DET
esrj-38712	132	332	optimal	optimal	ADJ
esrj-38712	132	333	network	network	NOUN
esrj-38712	132	334	architecture	architecture	NOUN
esrj-38712	132	335	of	of	ADP
esrj-38712	132	336	the	the	DET
esrj-38712	132	337	ann	ann	PROPN
esrj-38712	132	338	model	model	NOUN
esrj-38712	132	339	which	which	PRON
esrj-38712	132	340	is	be	AUX
esrj-38712	132	341	designed	design	VERB
esrj-38712	132	342	for	for	ADP
esrj-38712	132	343	predicting	predict	VERB
esrj-38712	132	344	qs	qs	NOUN
esrj-38712	132	345	,	,	PUNCT
esrj-38712	132	346	qp	qp	NOUN
esrj-38712	132	347	and	and	CCONJ
esrj-38712	132	348	qu	qu	PROPN
esrj-38712	132	349	of	of	ADP
esrj-38712	132	350	piles	pile	NOUN
esrj-38712	132	351	respectively	respectively	ADV
esrj-38712	132	352	,	,	PUNCT
esrj-38712	132	353	using	use	VERB
esrj-38712	132	354	a	a	DET
esrj-38712	132	355	matlab	matlab	PROPN
esrj-38712	132	356	code	code	NOUN
esrj-38712	132	357	created	create	VERB
esrj-38712	132	358	stochastically	stochastically	ADV
esrj-38712	132	359	between	between	ADP
esrj-38712	132	360	-1	-1	PUNCT
esrj-38712	132	361	and	and	CCONJ
esrj-38712	132	362	1	1	NUM
esrj-38712	132	363	,	,	PUNCT
esrj-38712	132	364	nine	nine	NUM
esrj-38712	132	365	networks	network	NOUN
esrj-38712	132	366	made	make	VERB
esrj-38712	132	367	of	of	ADP
esrj-38712	132	368	different	different	ADJ
esrj-38712	132	369	hidden	hide	VERB
esrj-38712	132	370	nodes	node	NOUN
esrj-38712	132	371	in	in	ADP
esrj-38712	132	372	the	the	DET
esrj-38712	132	373	range	range	NOUN
esrj-38712	132	374	of	of	ADP
esrj-38712	132	375	2	2	NUM
esrj-38712	132	376	to	to	PART
esrj-38712	132	377	10	10	NUM
esrj-38712	132	378	(	(	PUNCT
esrj-38712	132	379	based	base	VERB
esrj-38712	132	380	on	on	ADP
esrj-38712	132	381	the	the	DET
esrj-38712	132	382	recommendations	recommendation	NOUN
esrj-38712	132	383	presented	present	VERB
esrj-38712	132	384	in	in	ADP
esrj-38712	132	385	table	table	NOUN
esrj-38712	132	386	2	2	NUM
esrj-38712	132	387	)	)	PUNCT
esrj-38712	132	388	were	be	AUX
esrj-38712	132	389	trained	train	VERB
esrj-38712	132	390	and	and	CCONJ
esrj-38712	132	391	tested	test	VERB
esrj-38712	132	392	.	.	PUNCT
esrj-38712	133	1	it	it	PRON
esrj-38712	133	2	should	should	AUX
esrj-38712	133	3	be	be	AUX
esrj-38712	133	4	mentioned	mention	VERB
esrj-38712	133	5	that	that	SCONJ
esrj-38712	133	6	each	each	DET
esrj-38712	133	7	model	model	NOUN
esrj-38712	133	8	was	be	AUX
esrj-38712	133	9	iterated	iterate	VERB
esrj-38712	133	10	5	5	NUM
esrj-38712	133	11	times	time	NOUN
esrj-38712	133	12	.	.	PUNCT
esrj-38712	134	1	for	for	ADP
esrj-38712	134	2	training	train	VERB
esrj-38712	134	3	the	the	DET
esrj-38712	134	4	networks	network	NOUN
esrj-38712	134	5	,	,	PUNCT
esrj-38712	134	6	levenberg	levenberg	PROPN
esrj-38712	134	7	-	-	PUNCT
esrj-38712	134	8	marquardt	marquardt	PROPN
esrj-38712	134	9	(	(	PUNCT
esrj-38712	134	10	lm	lm	INTJ
esrj-38712	134	11	)	)	PUNCT
esrj-38712	134	12	algorithm	algorithm	NOUN
esrj-38712	134	13	was	be	AUX
esrj-38712	134	14	used	use	VERB
esrj-38712	134	15	.	.	PUNCT
esrj-38712	135	1	several	several	ADJ
esrj-38712	135	2	studies	study	NOUN
esrj-38712	135	3	reported	report	VERB
esrj-38712	135	4	that	that	SCONJ
esrj-38712	135	5	lm	lm	PROPN
esrj-38712	135	6	converges	converge	NOUN
esrj-38712	135	7	while	while	SCONJ
esrj-38712	135	8	other	other	ADJ
esrj-38712	135	9	gradient	gradient	ADJ
esrj-38712	135	10	descendent	descendent	NOUN
esrj-38712	135	11	training	training	NOUN
esrj-38712	135	12	algorithms	algorithm	NOUN
esrj-38712	135	13	diverge	diverge	NOUN
esrj-38712	135	14	(	(	PUNCT
esrj-38712	135	15	e.g.	e.g.	ADV
esrj-38712	135	16	hagan	hagan	NOUN
esrj-38712	135	17	and	and	CCONJ
esrj-38712	135	18	menhaj	menhaj	NOUN
esrj-38712	135	19	,	,	PUNCT
esrj-38712	135	20	1995	1995	NUM
esrj-38712	135	21	)	)	PUNCT
esrj-38712	135	22	.	.	PUNCT
esrj-38712	136	1	details	detail	NOUN
esrj-38712	136	2	of	of	ADP
esrj-38712	136	3	this	this	DET
esrj-38712	136	4	algorithm	algorithm	NOUN
esrj-38712	136	5	reported	report	VERB
esrj-38712	136	6	elsewhere	elsewhere	ADV
esrj-38712	136	7	(	(	PUNCT
esrj-38712	136	8	martin	martin	PROPN
esrj-38712	136	9	et	et	PROPN
esrj-38712	136	10	al	al	PROPN
esrj-38712	136	11	.	.	PROPN
esrj-38712	136	12	1995	1995	NUM
esrj-38712	136	13	)	)	PUNCT
esrj-38712	136	14	.	.	PUNCT
esrj-38712	137	1	it	it	PRON
esrj-38712	137	2	is	be	AUX
esrj-38712	137	3	also	also	ADV
esrj-38712	137	4	worth	worth	ADJ
esrj-38712	137	5	mentioning	mention	VERB
esrj-38712	137	6	that	that	SCONJ
esrj-38712	137	7	in	in	ADP
esrj-38712	137	8	developing	develop	VERB
esrj-38712	137	9	ann	ann	PROPN
esrj-38712	137	10	models	model	NOUN
esrj-38712	137	11	,	,	PUNCT
esrj-38712	137	12	the	the	DET
esrj-38712	137	13	sigmoid	sigmoid	NOUN
esrj-38712	137	14	function	function	NOUN
esrj-38712	137	15	was	be	AUX
esrj-38712	137	16	used	use	VERB
esrj-38712	137	17	as	as	ADP
esrj-38712	137	18	transfer	transfer	NOUN
esrj-38712	137	19	function	function	NOUN
esrj-38712	137	20	.	.	PUNCT
esrj-38712	138	1	assessments	assessment	NOUN
esrj-38712	138	2	of	of	ADP
esrj-38712	138	3	the	the	DET
esrj-38712	138	4	networks	network	NOUN
esrj-38712	138	5	performance	performance	NOUN
esrj-38712	138	6	were	be	AUX
esrj-38712	138	7	made	make	VERB
esrj-38712	138	8	based	base	VERB
esrj-38712	138	9	on	on	ADP
esrj-38712	138	10	the	the	DET
esrj-38712	138	11	obtained	obtain	VERB
esrj-38712	138	12	coefficient	coefficient	NOUN
esrj-38712	138	13	of	of	ADP
esrj-38712	138	14	determination	determination	NOUN
esrj-38712	138	15	,	,	PUNCT
esrj-38712	138	16	r²	r²	VERB
esrj-38712	138	17	as	as	ADV
esrj-38712	138	18	well	well	ADV
esrj-38712	138	19	as	as	ADP
esrj-38712	138	20	rmse	rmse	NOUN
esrj-38712	138	21	.	.	PUNCT
esrj-38712	139	1	the	the	DET
esrj-38712	139	2	former	former	ADJ
esrj-38712	139	3	indicates	indicate	VERB
esrj-38712	139	4	the	the	DET
esrj-38712	139	5	reliability	reliability	NOUN
esrj-38712	139	6	and	and	CCONJ
esrj-38712	139	7	strength	strength	NOUN
esrj-38712	139	8	of	of	ADP
esrj-38712	139	9	the	the	DET
esrj-38712	139	10	correlation	correlation	NOUN
esrj-38712	139	11	between	between	ADP
esrj-38712	139	12	actual	actual	ADJ
esrj-38712	139	13	and	and	CCONJ
esrj-38712	139	14	predicted	predict	VERB
esrj-38712	139	15	outputs	output	NOUN
esrj-38712	139	16	.	.	PUNCT
esrj-38712	140	1	table	table	NOUN
esrj-38712	140	2	3	3	NUM
esrj-38712	140	3	lists	list	NOUN
esrj-38712	140	4	the	the	DET
esrj-38712	140	5	obtained	obtain	VERB
esrj-38712	140	6	r²	r²	NOUN
esrj-38712	140	7	and	and	CCONJ
esrj-38712	140	8	rmse	rmse	NOUN
esrj-38712	140	9	for	for	ADP
esrj-38712	140	10	training	training	NOUN
esrj-38712	140	11	and	and	CCONJ
esrj-38712	140	12	testing	testing	NOUN
esrj-38712	140	13	datasets	dataset	NOUN
esrj-38712	140	14	.	.	PUNCT
esrj-38712	141	1	as	as	SCONJ
esrj-38712	141	2	shown	show	VERB
esrj-38712	141	3	in	in	ADP
esrj-38712	141	4	this	this	DET
esrj-38712	141	5	table	table	NOUN
esrj-38712	141	6	,	,	PUNCT
esrj-38712	141	7	the	the	DET
esrj-38712	141	8	fourth	fourth	ADJ
esrj-38712	141	9	model	model	NOUN
esrj-38712	141	10	which	which	PRON
esrj-38712	141	11	comprises	comprise	VERB
esrj-38712	141	12	5	5	NUM
esrj-38712	141	13	hidden	hide	VERB
esrj-38712	141	14	nodes	node	NOUN
esrj-38712	141	15	in	in	ADP
esrj-38712	141	16	one	one	NUM
esrj-38712	141	17	hidden	hide	VERB
esrj-38712	141	18	layer	layer	NOUN
esrj-38712	141	19	performs	perform	VERB
esrj-38712	141	20	best	well	ADV
esrj-38712	141	21	.	.	PUNCT
esrj-38712	142	1	the	the	DET
esrj-38712	142	2	obtained	obtain	VERB
esrj-38712	142	3	r2	r2	PROPN
esrj-38712	142	4	and	and	CCONJ
esrj-38712	142	5	rmse	rmse	ADJ
esrj-38712	142	6	values	value	NOUN
esrj-38712	142	7	for	for	ADP
esrj-38712	142	8	the	the	DET
esrj-38712	142	9	selected	select	VERB
esrj-38712	142	10	model	model	NOUN
esrj-38712	142	11	are	be	AUX
esrj-38712	142	12	0.998	0.998	NUM
esrj-38712	142	13	,	,	PUNCT
esrj-38712	142	14	0.942	0.942	NUM
esrj-38712	142	15	,	,	PUNCT
esrj-38712	142	16	0.012	0.012	NUM
esrj-38712	142	17	and	and	CCONJ
esrj-38712	142	18	0.091	0.091	NUM
esrj-38712	142	19	for	for	ADP
esrj-38712	142	20	training	training	NOUN
esrj-38712	142	21	and	and	CCONJ
esrj-38712	142	22	testing	testing	NOUN
esrj-38712	142	23	datasets	dataset	NOUN
esrj-38712	142	24	respectively	respectively	ADV
esrj-38712	142	25	.	.	PUNCT
esrj-38712	143	1	the	the	DET
esrj-38712	143	2	architecture	architecture	NOUN
esrj-38712	143	3	of	of	ADP
esrj-38712	143	4	the	the	DET
esrj-38712	143	5	selected	select	VERB
esrj-38712	143	6	model	model	NOUN
esrj-38712	143	7	is	be	AUX
esrj-38712	143	8	shown	show	VERB
esrj-38712	143	9	in	in	ADP
esrj-38712	143	10	figure	figure	NOUN
esrj-38712	143	11	3	3	NUM
esrj-38712	143	12	.	.	PUNCT
esrj-38712	144	1	it	it	PRON
esrj-38712	144	2	is	be	AUX
esrj-38712	144	3	worth	worth	ADJ
esrj-38712	144	4	noting	note	VERB
esrj-38712	144	5	that	that	SCONJ
esrj-38712	144	6	in	in	ADP
esrj-38712	144	7	designing	design	VERB
esrj-38712	144	8	the	the	DET
esrj-38712	144	9	ann	ann	PROPN
esrj-38712	144	10	models	model	NOUN
esrj-38712	144	11	,	,	PUNCT
esrj-38712	144	12	80	80	NUM
esrj-38712	144	13	percent	percent	NOUN
esrj-38712	144	14	(	(	PUNCT
esrj-38712	144	15	29	29	NUM
esrj-38712	144	16	out	out	ADP
esrj-38712	144	17	of	of	ADP
esrj-38712	144	18	36	36	NUM
esrj-38712	144	19	)	)	PUNCT
esrj-38712	144	20	of	of	ADP
esrj-38712	144	21	the	the	DET
esrj-38712	144	22	datasets	dataset	NOUN
esrj-38712	144	23	were	be	AUX
esrj-38712	144	24	assigned	assign	VERB
esrj-38712	144	25	randomly	randomly	ADV
esrj-38712	144	26	for	for	ADP
esrj-38712	144	27	training	training	NOUN
esrj-38712	144	28	purpose	purpose	NOUN
esrj-38712	144	29	,	,	PUNCT
esrj-38712	144	30	and	and	CCONJ
esrj-38712	144	31	the	the	DET
esrj-38712	144	32	last	last	ADJ
esrj-38712	144	33	20	20	NUM
esrj-38712	144	34	percent	percent	NOUN
esrj-38712	144	35	was	be	AUX
esrj-38712	144	36	used	use	VERB
esrj-38712	144	37	for	for	ADP
esrj-38712	144	38	testing	test	VERB
esrj-38712	144	39	the	the	DET
esrj-38712	144	40	performance	performance	NOUN
esrj-38712	144	41	of	of	ADP
esrj-38712	144	42	the	the	DET
esrj-38712	144	43	model	model	NOUN
esrj-38712	144	44	.	.	PUNCT
esrj-38712	145	1	table	table	NOUN
esrj-38712	145	2	3	3	PROPN
esrj-38712	145	3	.	.	PUNCT
esrj-38712	145	4	ann	ann	PROPN
esrj-38712	145	5	model	model	PROPN
esrj-38712	145	6	performances	performance	NOUN
esrj-38712	145	7	.	.	PUNCT
esrj-38712	146	1	model	model	NOUN
esrj-38712	146	2	no	no	INTJ
esrj-38712	147	1	.	.	PUNCT
esrj-38712	147	2	nodes	node	NOUN
esrj-38712	147	3	in	in	ADP
esrj-38712	147	4	hidden	hidden	ADJ
esrj-38712	147	5	layers	layer	NOUN
esrj-38712	147	6	network	network	NOUN
esrj-38712	147	7	result	result	VERB
esrj-38712	147	8	iteration	iteration	NOUN
esrj-38712	147	9	1	1	NUM
esrj-38712	147	10	iteration	iteration	NOUN
esrj-38712	147	11	2	2	NUM
esrj-38712	147	12	iteration	iteration	NOUN
esrj-38712	147	13	3	3	NUM
esrj-38712	147	14	iteration	iteration	NOUN
esrj-38712	147	15	4	4	NUM
esrj-38712	147	16	iteration	iteration	NOUN
esrj-38712	147	17	5	5	NUM
esrj-38712	147	18	train	train	NOUN
esrj-38712	147	19	test	test	NOUN
esrj-38712	147	20	train	train	NOUN
esrj-38712	147	21	test	test	NOUN
esrj-38712	147	22	train	train	NOUN
esrj-38712	147	23	test	test	NOUN
esrj-38712	147	24	train	train	NOUN
esrj-38712	147	25	test	test	NOUN
esrj-38712	147	26	train	train	NOUN
esrj-38712	147	27	test	test	NOUN
esrj-38712	147	28	r2	r2	PROPN
esrj-38712	147	29	rmse	rmse	PROPN
esrj-38712	147	30	r2	r2	PROPN
esrj-38712	147	31	rmse	rmse	PROPN
esrj-38712	147	32	r2	r2	PROPN
esrj-38712	147	33	rmse	rmse	PROPN
esrj-38712	147	34	r2	r2	PROPN
esrj-38712	147	35	rmse	rmse	PROPN
esrj-38712	147	36	r2	r2	PROPN
esrj-38712	147	37	rmse	rmse	PROPN
esrj-38712	147	38	r2	r2	PROPN
esrj-38712	147	39	rmse	rmse	PROPN
esrj-38712	147	40	r2	r2	PROPN
esrj-38712	147	41	rmse	rmse	PROPN
esrj-38712	147	42	r2	r2	PROPN
esrj-38712	147	43	rmse	rmse	PROPN
esrj-38712	147	44	r2	r2	PROPN
esrj-38712	147	45	rmse	rmse	PROPN
esrj-38712	147	46	r2	r2	PROPN
esrj-38712	147	47	rmse	rmse	PROPN
esrj-38712	147	48	1	1	NUM
esrj-38712	147	49	2	2	NUM
esrj-38712	147	50	0.974	0.974	NUM
esrj-38712	147	51	0.078	0.078	NUM
esrj-38712	147	52	0.761	0.761	NUM
esrj-38712	147	53	0.136	0.136	NUM
esrj-38712	147	54	0.978	0.978	NUM
esrj-38712	147	55	0.064	0.064	NUM
esrj-38712	147	56	0.910	0.910	NUM
esrj-38712	147	57	0.515	0.515	NUM
esrj-38712	147	58	0.902	0.902	NUM
esrj-38712	147	59	0.096	0.096	NUM
esrj-38712	147	60	0.674	0.674	NUM
esrj-38712	147	61	0.392	0.392	NUM
esrj-38712	147	62	0.988	0.988	NUM
esrj-38712	147	63	0.089	0.089	NUM
esrj-38712	147	64	0.879	0.879	NUM
esrj-38712	147	65	0.153	0.153	NUM
esrj-38712	147	66	0.961	0.961	NUM
esrj-38712	147	67	0.081	0.081	NUM
esrj-38712	147	68	0.853	0.853	NUM
esrj-38712	147	69	0.250	0.250	NUM
esrj-38712	147	70	2	2	NUM
esrj-38712	147	71	3	3	NUM
esrj-38712	147	72	0.980	0.980	NUM
esrj-38712	147	73	0.065	0.065	NUM
esrj-38712	147	74	0.674	0.674	NUM
esrj-38712	147	75	0.288	0.288	NUM
esrj-38712	147	76	0.978	0.978	NUM
esrj-38712	147	77	0.166	0.166	NUM
esrj-38712	147	78	0.783	0.783	NUM
esrj-38712	147	79	0.226	0.226	NUM
esrj-38712	147	80	0.990	0.990	NUM
esrj-38712	147	81	0.065	0.065	NUM
esrj-38712	147	82	0.832	0.832	NUM
esrj-38712	147	83	0.152	0.152	NUM
esrj-38712	147	84	0.982	0.982	NUM
esrj-38712	147	85	0.104	0.104	NUM
esrj-38712	147	86	0.842	0.842	NUM
esrj-38712	147	87	0.149	0.149	NUM
esrj-38712	147	88	0.976	0.976	NUM
esrj-38712	147	89	0.133	0.133	NUM
esrj-38712	147	90	0.891	0.891	NUM
esrj-38712	147	91	0.155	0.155	NUM
esrj-38712	147	92	3	3	NUM
esrj-38712	147	93	4	4	NUM
esrj-38712	147	94	0.994	0.994	NUM
esrj-38712	147	95	0.071	0.071	NUM
esrj-38712	147	96	0.783	0.783	NUM
esrj-38712	147	97	0.178	0.178	NUM
esrj-38712	147	98	0.994	0.994	NUM
esrj-38712	147	99	0.043	0.043	NUM
esrj-38712	147	100	0.906	0.906	NUM
esrj-38712	147	101	0.135	0.135	NUM
esrj-38712	147	102	0.990	0.990	NUM
esrj-38712	147	103	0.058	0.058	NUM
esrj-38712	147	104	0.784	0.784	NUM
esrj-38712	147	105	0.149	0.149	NUM
esrj-38712	147	106	0.992	0.992	NUM
esrj-38712	147	107	0.037	0.037	NUM
esrj-38712	147	108	0.637	0.637	NUM
esrj-38712	147	109	0.217	0.217	NUM
esrj-38712	147	110	0.968	0.968	NUM
esrj-38712	147	111	0.036	0.036	NUM
esrj-38712	147	112	0.861	0.861	NUM
esrj-38712	147	113	0.194	0.194	NUM
esrj-38712	147	114	4	4	NUM
esrj-38712	147	115	5	5	NUM
esrj-38712	147	116	0.998	0.998	NUM
esrj-38712	147	117	0.016	0.016	NUM
esrj-38712	147	118	0.896	0.896	NUM
esrj-38712	147	119	0.155	0.155	NUM
esrj-38712	147	120	0.998	0.998	NUM
esrj-38712	147	121	0.040	0.040	NUM
esrj-38712	147	122	0.904	0.904	NUM
esrj-38712	147	123	0.107	0.107	NUM
esrj-38712	147	124	0.998	0.998	NUM
esrj-38712	147	125	0.012	0.012	NUM
esrj-38712	147	126	0.942	0.942	NUM
esrj-38712	147	127	0.091	0.091	NUM
esrj-38712	147	128	0.998	0.998	NUM
esrj-38712	147	129	0.019	0.019	NUM
esrj-38712	147	130	0.774	0.774	NUM
esrj-38712	147	131	0.177	0.177	NUM
esrj-38712	147	132	0.998	0.998	NUM
esrj-38712	147	133	0.095	0.095	NUM
esrj-38712	147	134	0.758	0.758	NUM
esrj-38712	147	135	0.157	0.157	NUM
esrj-38712	147	136	5	5	NUM
esrj-38712	147	137	6	6	NUM
esrj-38712	147	138	0.998	0.998	NUM
esrj-38712	147	139	0.017	0.017	NUM
esrj-38712	147	140	0.763	0.763	NUM
esrj-38712	147	141	0.156	0.156	NUM
esrj-38712	147	142	0.998	0.998	NUM
esrj-38712	147	143	0.032	0.032	NUM
esrj-38712	147	144	0.776	0.776	NUM
esrj-38712	147	145	0.252	0.252	NUM
esrj-38712	147	146	0.998	0.998	NUM
esrj-38712	147	147	0.021	0.021	NUM
esrj-38712	147	148	0.794	0.794	NUM
esrj-38712	147	149	0.237	0.237	NUM
esrj-38712	147	150	0.998	0.998	NUM
esrj-38712	147	151	0.024	0.024	NUM
esrj-38712	147	152	0.605	0.605	NUM
esrj-38712	147	153	0.277	0.277	NUM
esrj-38712	147	154	0.998	0.998	NUM
esrj-38712	147	155	0.033	0.033	NUM
esrj-38712	147	156	0.777	0.777	NUM
esrj-38712	147	157	0.117	0.117	NUM
esrj-38712	147	158	6	6	NUM
esrj-38712	147	159	7	7	NUM
esrj-38712	147	160	0.998	0.998	NUM
esrj-38712	147	161	0.022	0.022	NUM
esrj-38712	147	162	0.721	0.721	NUM
esrj-38712	147	163	0.167	0.167	NUM
esrj-38712	147	164	0.998	0.998	NUM
esrj-38712	147	165	0.028	0.028	NUM
esrj-38712	147	166	0.740	0.740	NUM
esrj-38712	147	167	0.187	0.187	NUM
esrj-38712	147	168	0.998	0.998	NUM
esrj-38712	147	169	0.043	0.043	NUM
esrj-38712	147	170	0.629	0.629	NUM
esrj-38712	147	171	0.209	0.209	NUM
esrj-38712	147	172	0.998	0.998	NUM
esrj-38712	147	173	0.031	0.031	NUM
esrj-38712	147	174	0.921	0.921	NUM
esrj-38712	147	175	0.125	0.125	NUM
esrj-38712	147	176	0.998	0.998	NUM
esrj-38712	147	177	0.067	0.067	NUM
esrj-38712	147	178	0.790	0.790	NUM
esrj-38712	147	179	0.168	0.168	NUM
esrj-38712	147	180	7	7	NUM
esrj-38712	147	181	8	8	NUM
esrj-38712	147	182	0.998	0.998	NUM
esrj-38712	147	183	0.049	0.049	NUM
esrj-38712	147	184	0.850	0.850	NUM
esrj-38712	147	185	0.150	0.150	NUM
esrj-38712	147	186	0.998	0.998	NUM
esrj-38712	147	187	0.116	0.116	NUM
esrj-38712	147	188	0.885	0.885	NUM
esrj-38712	147	189	0.139	0.139	NUM
esrj-38712	147	190	0.998	0.998	NUM
esrj-38712	147	191	0.044	0.044	NUM
esrj-38712	147	192	0.589	0.589	NUM
esrj-38712	147	193	0.231	0.231	NUM
esrj-38712	147	194	0.998	0.998	NUM
esrj-38712	147	195	0.033	0.033	NUM
esrj-38712	147	196	0.784	0.784	NUM
esrj-38712	147	197	0.189	0.189	NUM
esrj-38712	147	198	0.998	0.998	NUM
esrj-38712	147	199	0.020	0.020	NUM
esrj-38712	147	200	0.785	0.785	NUM
esrj-38712	147	201	0.211	0.211	NUM
esrj-38712	147	202	8	8	NUM
esrj-38712	147	203	9	9	NUM
esrj-38712	147	204	0.998	0.998	NUM
esrj-38712	147	205	0.051	0.051	NUM
esrj-38712	147	206	0.851	0.851	NUM
esrj-38712	147	207	0.185	0.185	NUM
esrj-38712	147	208	0.998	0.998	NUM
esrj-38712	147	209	0.042	0.042	NUM
esrj-38712	147	210	0.571	0.571	NUM
esrj-38712	147	211	0.262	0.262	NUM
esrj-38712	147	212	0.998	0.998	NUM
esrj-38712	147	213	0.039	0.039	NUM
esrj-38712	147	214	0.752	0.752	NUM
esrj-38712	147	215	0.201	0.201	NUM
esrj-38712	147	216	0.998	0.998	NUM
esrj-38712	147	217	0.098	0.098	NUM
esrj-38712	147	218	0.870	0.870	NUM
esrj-38712	147	219	0.262	0.262	NUM
esrj-38712	147	220	0.998	0.998	NUM
esrj-38712	147	221	0.072	0.072	NUM
esrj-38712	147	222	0.767	0.767	NUM
esrj-38712	147	223	0.291	0.291	NUM
esrj-38712	147	224	9	9	NUM
esrj-38712	147	225	10	10	NUM
esrj-38712	147	226	0.998	0.998	NUM
esrj-38712	147	227	0.038	0.038	NUM
esrj-38712	147	228	0.706	0.706	NUM
esrj-38712	147	229	0.321	0.321	NUM
esrj-38712	147	230	0.998	0.998	NUM
esrj-38712	147	231	0.055	0.055	NUM
esrj-38712	147	232	0.794	0.794	NUM
esrj-38712	147	233	0.202	0.202	NUM
esrj-38712	147	234	0.998	0.998	NUM
esrj-38712	147	235	0.088	0.088	NUM
esrj-38712	147	236	0.887	0.887	NUM
esrj-38712	147	237	0.282	0.282	NUM
esrj-38712	147	238	0.998	0.998	NUM
esrj-38712	147	239	0.075	0.075	NUM
esrj-38712	147	240	0.715	0.715	NUM
esrj-38712	147	241	0.371	0.371	NUM
esrj-38712	147	242	0.998	0.998	NUM
esrj-38712	147	243	0.061	0.061	NUM
esrj-38712	147	244	0.727	0.727	NUM
esrj-38712	147	245	0.299	0.299	NUM
esrj-38712	147	246	figure	figure	NOUN
esrj-38712	147	247	3	3	NUM
esrj-38712	147	248	.	.	PUNCT
esrj-38712	147	249	architecture	architecture	NOUN
esrj-38712	147	250	of	of	ADP
esrj-38712	147	251	the	the	DET
esrj-38712	147	252	selected	select	VERB
esrj-38712	147	253	ann	ann	PROPN
esrj-38712	147	254	-	-	PUNCT
esrj-38712	147	255	based	base	VERB
esrj-38712	147	256	predictive	predictive	ADJ
esrj-38712	147	257	model	model	NOUN
esrj-38712	147	258	.	.	PUNCT
esrj-38712	148	1	5	5	X
esrj-38712	148	2	.	.	X
esrj-38712	148	3	result	result	NOUN
esrj-38712	148	4	and	and	CCONJ
esrj-38712	148	5	discussion	discussion	VERB
esrj-38712	148	6	the	the	DET
esrj-38712	148	7	reliability	reliability	NOUN
esrj-38712	148	8	of	of	ADP
esrj-38712	148	9	the	the	DET
esrj-38712	148	10	ann	ann	PROPN
esrj-38712	148	11	-	-	PUNCT
esrj-38712	148	12	based	base	VERB
esrj-38712	148	13	predictive	predictive	ADJ
esrj-38712	148	14	model	model	NOUN
esrj-38712	148	15	of	of	ADP
esrj-38712	148	16	bearing	bear	VERB
esrj-38712	148	17	capacity	capacity	NOUN
esrj-38712	148	18	can	can	AUX
esrj-38712	148	19	be	be	AUX
esrj-38712	148	20	seen	see	VERB
esrj-38712	148	21	in	in	ADP
esrj-38712	148	22	figures	figure	NOUN
esrj-38712	148	23	4	4	NUM
esrj-38712	148	24	to	to	PART
esrj-38712	148	25	6	6	NUM
esrj-38712	148	26	.	.	PUNCT
esrj-38712	149	1	these	these	DET
esrj-38712	149	2	figures	figure	NOUN
esrj-38712	149	3	show	show	VERB
esrj-38712	149	4	the	the	DET
esrj-38712	149	5	predicted	predict	VERB
esrj-38712	149	6	qs	qs	NOUN
esrj-38712	149	7	,	,	PUNCT
esrj-38712	149	8	qp	qp	NOUN
esrj-38712	149	9	and	and	CCONJ
esrj-38712	149	10	qu	qu	PROPN
esrj-38712	149	11	of	of	ADP
esrj-38712	149	12	piles	pile	NOUN
esrj-38712	149	13	versus	versus	ADP
esrj-38712	149	14	their	their	PRON
esrj-38712	149	15	measured	measure	VERB
esrj-38712	149	16	values	value	NOUN
esrj-38712	149	17	.	.	PUNCT
esrj-38712	150	1	figure	figure	VERB
esrj-38712	150	2	4	4	NUM
esrj-38712	150	3	shows	show	VERB
esrj-38712	150	4	a	a	DET
esrj-38712	150	5	comparison	comparison	NOUN
esrj-38712	150	6	between	between	ADP
esrj-38712	150	7	predicted	predict	VERB
esrj-38712	150	8	and	and	CCONJ
esrj-38712	150	9	measured	measure	VERB
esrj-38712	150	10	qs	qs	NOUN
esrj-38712	150	11	for	for	ADP
esrj-38712	150	12	training	training	NOUN
esrj-38712	150	13	and	and	CCONJ
esrj-38712	150	14	testing	testing	NOUN
esrj-38712	150	15	data	datum	NOUN
esrj-38712	150	16	.	.	PUNCT
esrj-38712	151	1	the	the	DET
esrj-38712	151	2	obtained	obtain	VERB
esrj-38712	151	3	r²	r²	NOUN
esrj-38712	151	4	values	value	NOUN
esrj-38712	151	5	equal	equal	ADJ
esrj-38712	151	6	to	to	ADP
esrj-38712	151	7	0.999	0.999	NUM
esrj-38712	151	8	and	and	CCONJ
esrj-38712	151	9	0.941	0.941	NUM
esrj-38712	151	10	suggest	suggest	VERB
esrj-38712	151	11	the	the	DET
esrj-38712	151	12	reliability	reliability	NOUN
esrj-38712	151	13	of	of	ADP
esrj-38712	151	14	the	the	DET
esrj-38712	151	15	model	model	NOUN
esrj-38712	151	16	in	in	ADP
esrj-38712	151	17	predicting	predict	VERB
esrj-38712	151	18	qs	qs	PROPN
esrj-38712	151	19	.	.	PROPN
esrj-38712	151	20	similarly	similarly	ADV
esrj-38712	151	21	figure	figure	VERB
esrj-38712	151	22	5	5	NUM
esrj-38712	151	23	suggests	suggest	VERB
esrj-38712	151	24	that	that	SCONJ
esrj-38712	151	25	the	the	DET
esrj-38712	151	26	predicted	predict	VERB
esrj-38712	151	27	qp	qp	NOUN
esrj-38712	151	28	is	be	AUX
esrj-38712	151	29	in	in	ADP
esrj-38712	151	30	good	good	ADJ
esrj-38712	151	31	agreement	agreement	NOUN
esrj-38712	151	32	with	with	ADP
esrj-38712	151	33	the	the	DET
esrj-38712	151	34	measured	measured	ADJ
esrj-38712	151	35	qp	qp	NOUN
esrj-38712	151	36	.	.	PUNCT
esrj-38712	152	1	as	as	SCONJ
esrj-38712	152	2	displayed	display	VERB
esrj-38712	152	3	in	in	ADP
esrj-38712	152	4	figure	figure	NOUN
esrj-38712	152	5	5	5	NUM
esrj-38712	152	6	-	-	SYM
esrj-38712	152	7	b	b	NOUN
esrj-38712	152	8	,	,	PUNCT
esrj-38712	152	9	the	the	DET
esrj-38712	152	10	coefficient	coefficient	NOUN
esrj-38712	152	11	of	of	ADP
esrj-38712	152	12	determination	determination	NOUN
esrj-38712	152	13	equals	equal	VERB
esrj-38712	152	14	to	to	ADP
esrj-38712	152	15	0.936	0.936	NUM
esrj-38712	152	16	for	for	ADP
esrj-38712	152	17	testing	testing	NOUN
esrj-38712	152	18	data	datum	NOUN
esrj-38712	152	19	recommends	recommend	VERB
esrj-38712	152	20	the	the	DET
esrj-38712	152	21	feasibility	feasibility	NOUN
esrj-38712	152	22	of	of	ADP
esrj-38712	152	23	the	the	DET
esrj-38712	152	24	ann	ann	PROPN
esrj-38712	152	25	-	-	PUNCT
esrj-38712	152	26	based	base	VERB
esrj-38712	152	27	predictive	predictive	ADJ
esrj-38712	152	28	model	model	NOUN
esrj-38712	152	29	of	of	ADP
esrj-38712	152	30	bearing	bear	VERB
esrj-38712	152	31	capacity	capacity	NOUN
esrj-38712	152	32	.	.	PUNCT
esrj-38712	153	1	table	table	NOUN
esrj-38712	153	2	2	2	NUM
esrj-38712	153	3	.	.	PUNCT
esrj-38712	154	1	the	the	DET
esrj-38712	154	2	proposed	propose	VERB
esrj-38712	154	3	number	number	NOUN
esrj-38712	154	4	of	of	ADP
esrj-38712	154	5	neurons	neuron	NOUN
esrj-38712	154	6	for	for	ADP
esrj-38712	154	7	hidden	hide	VERB
esrj-38712	154	8	layer	layer	NOUN
esrj-38712	154	9	ni	ni	NOUN
esrj-38712	154	10	:	:	PUNCT
esrj-38712	154	11	number	number	NOUN
esrj-38712	154	12	of	of	ADP
esrj-38712	154	13	input	input	NOUN
esrj-38712	154	14	neuron	neuron	PROPN
esrj-38712	154	15	,	,	PUNCT
esrj-38712	154	16	n0	n0	ADJ
esrj-38712	154	17	:	:	PUNCT
esrj-38712	154	18	number	number	NOUN
esrj-38712	154	19	of	of	ADP
esrj-38712	154	20	output	output	NOUN
esrj-38712	154	21	neuron	neuron	NOUN
esrj-38712	154	22	.	.	PUNCT
esrj-38712	155	1	90	90	NUM
esrj-38712	155	2	ehsan	ehsan	PROPN
esrj-38712	155	3	momeni	momeni	PROPN
esrj-38712	155	4	,	,	PUNCT
esrj-38712	155	5	ramli	ramli	PROPN
esrj-38712	155	6	nazir	nazir	PROPN
esrj-38712	155	7	,	,	PUNCT
esrj-38712	155	8	danial	danial	PROPN
esrj-38712	155	9	jahed	jahe	VERB
esrj-38712	155	10	armaghani	armaghani	PROPN
esrj-38712	155	11	,	,	PUNCT
esrj-38712	155	12	harnedi	harnedi	PROPN
esrj-38712	155	13	maizir	maizir	PROPN
esrj-38712	155	14	figure	figure	NOUN
esrj-38712	155	15	4	4	NUM
esrj-38712	155	16	.	.	PUNCT
esrj-38712	155	17	shaft	shaft	NOUN
esrj-38712	155	18	bearing	bear	VERB
esrj-38712	155	19	capacity	capacity	NOUN
esrj-38712	155	20	(	(	PUNCT
esrj-38712	155	21	qs	qs	NOUN
esrj-38712	155	22	)	)	PUNCT
esrj-38712	155	23	of	of	ADP
esrj-38712	155	24	piles	pile	NOUN
esrj-38712	155	25	predicted	predict	VERB
esrj-38712	155	26	by	by	ADP
esrj-38712	155	27	ann	ann	PROPN
esrj-38712	155	28	model	model	NOUN
esrj-38712	155	29	versus	versus	ADP
esrj-38712	155	30	their	their	PRON
esrj-38712	155	31	measured	measure	VERB
esrj-38712	155	32	values	value	NOUN
esrj-38712	155	33	.	.	PUNCT
esrj-38712	156	1	figure	figure	NOUN
esrj-38712	156	2	5	5	NUM
esrj-38712	156	3	.	.	PUNCT
esrj-38712	156	4	end	end	NOUN
esrj-38712	156	5	-	-	PUNCT
esrj-38712	156	6	bearing	bear	VERB
esrj-38712	156	7	capacity	capacity	NOUN
esrj-38712	156	8	(	(	PUNCT
esrj-38712	156	9	qp	qp	NOUN
esrj-38712	156	10	)	)	PUNCT
esrj-38712	156	11	of	of	ADP
esrj-38712	156	12	piles	pile	NOUN
esrj-38712	156	13	predicted	predict	VERB
esrj-38712	156	14	by	by	ADP
esrj-38712	156	15	ann	ann	PROPN
esrj-38712	156	16	model	model	NOUN
esrj-38712	156	17	versus	versus	ADP
esrj-38712	156	18	their	their	PRON
esrj-38712	156	19	measured	measure	VERB
esrj-38712	156	20	values	value	NOUN
esrj-38712	156	21	.	.	PUNCT
esrj-38712	157	1	in	in	ADP
esrj-38712	157	2	figure	figure	NOUN
esrj-38712	157	3	6	6	NUM
esrj-38712	157	4	,	,	PUNCT
esrj-38712	157	5	a	a	DET
esrj-38712	157	6	comparison	comparison	NOUN
esrj-38712	157	7	is	be	AUX
esrj-38712	157	8	made	make	VERB
esrj-38712	157	9	between	between	ADP
esrj-38712	157	10	the	the	DET
esrj-38712	157	11	measured	measure	VERB
esrj-38712	157	12	and	and	CCONJ
esrj-38712	157	13	predicted	predict	VERB
esrj-38712	157	14	qu	qu	PROPN
esrj-38712	157	15	of	of	ADP
esrj-38712	157	16	piles	pile	NOUN
esrj-38712	157	17	for	for	ADP
esrj-38712	157	18	both	both	DET
esrj-38712	157	19	training	training	NOUN
esrj-38712	157	20	and	and	CCONJ
esrj-38712	157	21	testing	testing	NOUN
esrj-38712	157	22	data	datum	NOUN
esrj-38712	157	23	.	.	PUNCT
esrj-38712	158	1	coefficient	coefficient	NOUN
esrj-38712	158	2	of	of	ADP
esrj-38712	158	3	determination	determination	NOUN
esrj-38712	158	4	equals	equal	VERB
esrj-38712	158	5	to	to	ADP
esrj-38712	158	6	0.951	0.951	NUM
esrj-38712	158	7	for	for	ADP
esrj-38712	158	8	testing	test	VERB
esrj-38712	158	9	data	datum	NOUN
esrj-38712	158	10	suggests	suggest	VERB
esrj-38712	158	11	that	that	SCONJ
esrj-38712	158	12	the	the	DET
esrj-38712	158	13	ann	ann	PROPN
esrj-38712	158	14	-	-	PUNCT
esrj-38712	158	15	based	base	VERB
esrj-38712	158	16	predictive	predictive	ADJ
esrj-38712	158	17	model	model	NOUN
esrj-38712	158	18	is	be	AUX
esrj-38712	158	19	good	good	ADJ
esrj-38712	158	20	enough	enough	ADV
esrj-38712	158	21	in	in	ADP
esrj-38712	158	22	capturing	capture	VERB
esrj-38712	158	23	the	the	DET
esrj-38712	158	24	ultimate	ultimate	ADJ
esrj-38712	158	25	bearing	bearing	NOUN
esrj-38712	158	26	capacity	capacity	NOUN
esrj-38712	158	27	of	of	ADP
esrj-38712	158	28	piles	pile	NOUN
esrj-38712	158	29	.	.	PUNCT
esrj-38712	159	1	figure	figure	VERB
esrj-38712	159	2	6	6	NUM
esrj-38712	159	3	.	.	PUNCT
esrj-38712	160	1	ultimate	ultimate	ADJ
esrj-38712	160	2	bearing	bearing	NOUN
esrj-38712	160	3	capacity	capacity	NOUN
esrj-38712	160	4	(	(	PUNCT
esrj-38712	160	5	qu	qu	PROPN
esrj-38712	160	6	)	)	PUNCT
esrj-38712	160	7	of	of	ADP
esrj-38712	160	8	piles	pile	NOUN
esrj-38712	160	9	predicted	predict	VERB
esrj-38712	160	10	by	by	ADP
esrj-38712	160	11	ann	ann	PROPN
esrj-38712	160	12	model	model	NOUN
esrj-38712	160	13	versus	versus	ADP
esrj-38712	160	14	their	their	PRON
esrj-38712	160	15	measured	measure	VERB
esrj-38712	160	16	values	value	NOUN
esrj-38712	160	17	91application	91application	NOUN
esrj-38712	160	18	of	of	ADP
esrj-38712	160	19	artificial	artificial	ADJ
esrj-38712	160	20	neural	neural	ADJ
esrj-38712	160	21	network	network	NOUN
esrj-38712	160	22	for	for	ADP
esrj-38712	160	23	predicting	predict	VERB
esrj-38712	160	24	shaft	shaft	NOUN
esrj-38712	160	25	and	and	CCONJ
esrj-38712	160	26	tip	tip	NOUN
esrj-38712	160	27	resistances	resistance	NOUN
esrj-38712	160	28	of	of	ADP
esrj-38712	160	29	concrete	concrete	ADJ
esrj-38712	160	30	piles	pile	NOUN
esrj-38712	160	31	to	to	PART
esrj-38712	160	32	have	have	VERB
esrj-38712	160	33	a	a	DET
esrj-38712	160	34	better	well	ADJ
esrj-38712	160	35	understanding	understanding	NOUN
esrj-38712	160	36	of	of	ADP
esrj-38712	160	37	the	the	DET
esrj-38712	160	38	prediction	prediction	NOUN
esrj-38712	160	39	performance	performance	NOUN
esrj-38712	160	40	of	of	ADP
esrj-38712	160	41	ann	ann	PROPN
esrj-38712	160	42	,	,	PUNCT
esrj-38712	160	43	in	in	ADP
esrj-38712	160	44	figures	figure	NOUN
esrj-38712	160	45	7	7	NUM
esrj-38712	160	46	to	to	PART
esrj-38712	160	47	9	9	NUM
esrj-38712	160	48	the	the	DET
esrj-38712	160	49	predicted	predict	VERB
esrj-38712	160	50	qs	qs	NOUN
esrj-38712	160	51	,	,	PUNCT
esrj-38712	160	52	qp	qp	NOUN
esrj-38712	160	53	,	,	PUNCT
esrj-38712	160	54	and	and	CCONJ
esrj-38712	160	55	qu	qu	PROPN
esrj-38712	160	56	are	be	AUX
esrj-38712	160	57	checked	check	VERB
esrj-38712	160	58	against	against	ADP
esrj-38712	160	59	their	their	PRON
esrj-38712	160	60	measured	measure	VERB
esrj-38712	160	61	values	value	NOUN
esrj-38712	160	62	for	for	ADP
esrj-38712	160	63	testing	test	VERB
esrj-38712	160	64	dataset	dataset	NOUN
esrj-38712	160	65	.	.	PUNCT
esrj-38712	161	1	in	in	ADP
esrj-38712	161	2	fact	fact	NOUN
esrj-38712	161	3	,	,	PUNCT
esrj-38712	161	4	the	the	DET
esrj-38712	161	5	idea	idea	NOUN
esrj-38712	161	6	behind	behind	ADP
esrj-38712	161	7	using	use	VERB
esrj-38712	161	8	testing	testing	NOUN
esrj-38712	161	9	dataset	dataset	NOUN
esrj-38712	161	10	is	be	AUX
esrj-38712	161	11	to	to	PART
esrj-38712	161	12	verify	verify	VERB
esrj-38712	161	13	the	the	DET
esrj-38712	161	14	generalization	generalization	NOUN
esrj-38712	161	15	capability	capability	NOUN
esrj-38712	161	16	of	of	ADP
esrj-38712	161	17	proposed	propose	VERB
esrj-38712	161	18	neural	neural	ADJ
esrj-38712	161	19	network	network	NOUN
esrj-38712	161	20	model	model	NOUN
esrj-38712	161	21	.	.	PUNCT
esrj-38712	162	1	close	close	ADJ
esrj-38712	162	2	agreement	agreement	NOUN
esrj-38712	162	3	between	between	ADP
esrj-38712	162	4	measured	measure	VERB
esrj-38712	162	5	and	and	CCONJ
esrj-38712	162	6	predicted	predict	VERB
esrj-38712	162	7	values	value	NOUN
esrj-38712	162	8	suggests	suggest	VERB
esrj-38712	162	9	that	that	SCONJ
esrj-38712	162	10	by	by	ADP
esrj-38712	162	11	using	use	VERB
esrj-38712	162	12	pile	pile	ADJ
esrj-38712	162	13	geometrical	geometrical	ADJ
esrj-38712	162	14	characteristics	characteristic	NOUN
esrj-38712	162	15	,	,	PUNCT
esrj-38712	162	16	pile	pile	NOUN
esrj-38712	162	17	set	set	NOUN
esrj-38712	162	18	and	and	CCONJ
esrj-38712	162	19	the	the	DET
esrj-38712	162	20	results	result	NOUN
esrj-38712	162	21	of	of	ADP
esrj-38712	162	22	spt	spt	ADJ
esrj-38712	162	23	insitu	insitu	ADJ
esrj-38712	162	24	test	test	NOUN
esrj-38712	162	25	,	,	PUNCT
esrj-38712	162	26	the	the	DET
esrj-38712	162	27	ann	ann	PROPN
esrj-38712	162	28	-	-	PUNCT
esrj-38712	162	29	based	base	VERB
esrj-38712	162	30	predictive	predictive	ADJ
esrj-38712	162	31	model	model	NOUN
esrj-38712	162	32	can	can	AUX
esrj-38712	162	33	be	be	AUX
esrj-38712	162	34	implemented	implement	VERB
esrj-38712	162	35	for	for	ADP
esrj-38712	162	36	estimating	estimate	VERB
esrj-38712	162	37	qs	qs	NOUN
esrj-38712	162	38	,	,	PUNCT
esrj-38712	162	39	qp	qp	NOUN
esrj-38712	162	40	,	,	PUNCT
esrj-38712	162	41	and	and	CCONJ
esrj-38712	162	42	qu	qu	PROPN
esrj-38712	162	43	of	of	ADP
esrj-38712	162	44	piles	pile	NOUN
esrj-38712	162	45	.	.	PUNCT
esrj-38712	163	1	figure	figure	VERB
esrj-38712	163	2	7	7	NUM
esrj-38712	163	3	.	.	PUNCT
esrj-38712	163	4	ann	ann	PROPN
esrj-38712	163	5	-	-	PUNCT
esrj-38712	163	6	model	model	NOUN
esrj-38712	163	7	performance	performance	NOUN
esrj-38712	163	8	in	in	ADP
esrj-38712	163	9	predicting	predict	VERB
esrj-38712	163	10	pile	pile	ADJ
esrj-38712	163	11	shaft	shaft	NOUN
esrj-38712	163	12	resistance	resistance	NOUN
esrj-38712	163	13	(	(	PUNCT
esrj-38712	163	14	testing	testing	NOUN
esrj-38712	163	15	data	data	PROPN
esrj-38712	163	16	)	)	PUNCT
esrj-38712	163	17	.	.	PUNCT
esrj-38712	164	1	figure	figure	VERB
esrj-38712	164	2	8	8	NUM
esrj-38712	164	3	.	.	PUNCT
esrj-38712	165	1	ann	ann	PROPN
esrj-38712	165	2	-	-	PUNCT
esrj-38712	165	3	model	model	NOUN
esrj-38712	165	4	performance	performance	NOUN
esrj-38712	165	5	in	in	ADP
esrj-38712	165	6	predicting	predict	VERB
esrj-38712	165	7	pile	pile	ADJ
esrj-38712	165	8	tip	tip	NOUN
esrj-38712	165	9	resistance	resistance	NOUN
esrj-38712	165	10	(	(	PUNCT
esrj-38712	165	11	testing	testing	NOUN
esrj-38712	165	12	data	data	PROPN
esrj-38712	165	13	)	)	PUNCT
esrj-38712	165	14	.	.	PUNCT
esrj-38712	166	1	figure	figure	NOUN
esrj-38712	166	2	9	9	NUM
esrj-38712	166	3	.	.	PUNCT
esrj-38712	167	1	ann	ann	PROPN
esrj-38712	167	2	-	-	PUNCT
esrj-38712	167	3	model	model	NOUN
esrj-38712	167	4	performance	performance	NOUN
esrj-38712	167	5	in	in	ADP
esrj-38712	167	6	predicting	predict	VERB
esrj-38712	167	7	ultimate	ultimate	ADJ
esrj-38712	167	8	bearing	bearing	NOUN
esrj-38712	167	9	capacity	capacity	NOUN
esrj-38712	167	10	of	of	ADP
esrj-38712	167	11	piles	pile	NOUN
esrj-38712	167	12	(	(	PUNCT
esrj-38712	167	13	testing	testing	NOUN
esrj-38712	167	14	data	datum	NOUN
esrj-38712	167	15	)	)	PUNCT
esrj-38712	167	16	.	.	PUNCT
esrj-38712	168	1	the	the	DET
esrj-38712	168	2	overall	overall	ADJ
esrj-38712	168	3	prediction	prediction	NOUN
esrj-38712	168	4	performance	performance	NOUN
esrj-38712	168	5	(	(	PUNCT
esrj-38712	168	6	for	for	ADP
esrj-38712	168	7	all	all	DET
esrj-38712	168	8	dataset	dataset	NOUN
esrj-38712	168	9	)	)	PUNCT
esrj-38712	168	10	of	of	ADP
esrj-38712	168	11	the	the	DET
esrj-38712	168	12	annbased	annbase	VERB
esrj-38712	168	13	model	model	NOUN
esrj-38712	168	14	is	be	AUX
esrj-38712	168	15	summarized	summarize	VERB
esrj-38712	168	16	in	in	ADP
esrj-38712	168	17	table	table	NOUN
esrj-38712	168	18	4	4	NUM
esrj-38712	168	19	.	.	PUNCT
esrj-38712	169	1	in	in	ADP
esrj-38712	169	2	this	this	DET
esrj-38712	169	3	table	table	NOUN
esrj-38712	169	4	,	,	PUNCT
esrj-38712	169	5	apart	apart	ADV
esrj-38712	169	6	from	from	ADP
esrj-38712	169	7	r²	r²	NOUN
esrj-38712	169	8	,	,	PUNCT
esrj-38712	169	9	rmse	rmse	NOUN
esrj-38712	169	10	and	and	CCONJ
esrj-38712	169	11	value	value	NOUN
esrj-38712	169	12	account	account	NOUN
esrj-38712	169	13	factor	factor	NOUN
esrj-38712	169	14	(	(	PUNCT
esrj-38712	169	15	vaf	vaf	NOUN
esrj-38712	169	16	)	)	PUNCT
esrj-38712	169	17	were	be	AUX
esrj-38712	169	18	also	also	ADV
esrj-38712	169	19	used	use	VERB
esrj-38712	169	20	to	to	PART
esrj-38712	169	21	control	control	VERB
esrj-38712	169	22	the	the	DET
esrj-38712	169	23	capacity	capacity	NOUN
esrj-38712	169	24	performance	performance	NOUN
esrj-38712	169	25	of	of	ADP
esrj-38712	169	26	the	the	DET
esrj-38712	169	27	model	model	NOUN
esrj-38712	169	28	.	.	PUNCT
esrj-38712	170	1	for	for	ADP
esrj-38712	170	2	determining	determine	VERB
esrj-38712	170	3	rmse	rmse	NOUN
esrj-38712	170	4	and	and	CCONJ
esrj-38712	170	5	vaf	vaf	NOUN
esrj-38712	170	6	,	,	PUNCT
esrj-38712	170	7	equations	equation	NOUN
esrj-38712	170	8	1	1	NUM
esrj-38712	170	9	and	and	CCONJ
esrj-38712	170	10	2	2	NUM
esrj-38712	170	11	were	be	AUX
esrj-38712	170	12	used	use	VERB
esrj-38712	170	13	respectively	respectively	ADV
esrj-38712	170	14	.	.	PUNCT
esrj-38712	171	1	rmse	rmse	PROPN
esrj-38712	171	2	=	=	SYM
esrj-38712	171	3	vaf	vaf	PROPN
esrj-38712	171	4	=	=	SYM
esrj-38712	171	5	(	(	PUNCT
esrj-38712	171	6	1	1	NUM
esrj-38712	171	7	)	)	PUNCT
esrj-38712	171	8	(	(	PUNCT
esrj-38712	171	9	2	2	X
esrj-38712	171	10	)	)	PUNCT
esrj-38712	171	11	in	in	ADP
esrj-38712	171	12	the	the	DET
esrj-38712	171	13	aforementioned	aforementioned	ADJ
esrj-38712	171	14	equations	equation	NOUN
esrj-38712	171	15	,	,	PUNCT
esrj-38712	171	16	y	y	PROPN
esrj-38712	171	17	and	and	CCONJ
esrj-38712	171	18	y′	y′	NOUN
esrj-38712	171	19	denote	denote	VERB
esrj-38712	171	20	the	the	DET
esrj-38712	171	21	obtained	obtain	VERB
esrj-38712	171	22	and	and	CCONJ
esrj-38712	171	23	estimated	estimated	ADJ
esrj-38712	171	24	values	value	NOUN
esrj-38712	171	25	,	,	PUNCT
esrj-38712	171	26	respectively	respectively	ADV
esrj-38712	171	27	and	and	CCONJ
esrj-38712	171	28	n	n	PRON
esrj-38712	171	29	is	be	AUX
esrj-38712	171	30	the	the	DET
esrj-38712	171	31	total	total	ADJ
esrj-38712	171	32	number	number	NOUN
esrj-38712	171	33	of	of	ADP
esrj-38712	171	34	data	datum	NOUN
esrj-38712	171	35	.	.	PUNCT
esrj-38712	172	1	it	it	PRON
esrj-38712	172	2	is	be	AUX
esrj-38712	172	3	worth	worth	ADJ
esrj-38712	172	4	mentioning	mention	VERB
esrj-38712	172	5	that	that	SCONJ
esrj-38712	172	6	the	the	DET
esrj-38712	172	7	model	model	NOUN
esrj-38712	172	8	is	be	AUX
esrj-38712	172	9	excellent	excellent	ADJ
esrj-38712	172	10	if	if	SCONJ
esrj-38712	172	11	the	the	DET
esrj-38712	172	12	rmse	rmse	NOUN
esrj-38712	172	13	is	be	AUX
esrj-38712	172	14	zero	zero	NUM
esrj-38712	172	15	and	and	CCONJ
esrj-38712	172	16	vaf	vaf	PROPN
esrj-38712	172	17	is	be	AUX
esrj-38712	172	18	100	100	NUM
esrj-38712	172	19	.	.	PUNCT
esrj-38712	172	20	table	table	NOUN
esrj-38712	172	21	4	4	NUM
esrj-38712	172	22	.	.	PUNCT
esrj-38712	172	23	performance	performance	NOUN
esrj-38712	172	24	indices	index	NOUN
esrj-38712	172	25	of	of	ADP
esrj-38712	172	26	the	the	DET
esrj-38712	172	27	predictive	predictive	ADJ
esrj-38712	172	28	model	model	NOUN
esrj-38712	172	29	output	output	NOUN
esrj-38712	172	30	r2	r2	PROPN
esrj-38712	172	31	rmse	rmse	PROPN
esrj-38712	173	1	vaf	vaf	PROPN
esrj-38712	173	2	(	(	PUNCT
esrj-38712	173	3	%	%	INTJ
esrj-38712	173	4	)	)	PUNCT
esrj-38712	173	5	qp	qp	ADP
esrj-38712	173	6	0.982	0.982	NUM
esrj-38712	173	7	0.081	0.081	NUM
esrj-38712	173	8	98.199	98.199	NUM
esrj-38712	173	9	qs	qs	ADP
esrj-38712	173	10	0.984	0.984	NUM
esrj-38712	173	11	0.075	0.075	NUM
esrj-38712	173	12	98.361	98.361	NUM
esrj-38712	173	13	qu	qu	PROPN
esrj-38712	173	14	0.988	0.988	NUM
esrj-38712	173	15	0.064	0.064	NUM
esrj-38712	173	16	98.770	98.770	NUM
esrj-38712	173	17	overall	overall	ADJ
esrj-38712	173	18	,	,	PUNCT
esrj-38712	173	19	the	the	DET
esrj-38712	173	20	general	general	ADJ
esrj-38712	173	21	trend	trend	NOUN
esrj-38712	173	22	of	of	ADP
esrj-38712	173	23	the	the	DET
esrj-38712	173	24	results	result	NOUN
esrj-38712	173	25	shows	show	VERB
esrj-38712	173	26	that	that	SCONJ
esrj-38712	173	27	ann	ann	PROPN
esrj-38712	173	28	as	as	ADP
esrj-38712	173	29	a	a	DET
esrj-38712	173	30	method	method	NOUN
esrj-38712	173	31	which	which	PRON
esrj-38712	173	32	does	do	AUX
esrj-38712	173	33	not	not	PART
esrj-38712	173	34	require	require	VERB
esrj-38712	173	35	prior	prior	ADJ
esrj-38712	173	36	assumptions	assumption	NOUN
esrj-38712	173	37	and	and	CCONJ
esrj-38712	173	38	can	can	AUX
esrj-38712	173	39	provide	provide	VERB
esrj-38712	173	40	a	a	DET
esrj-38712	173	41	relatively	relatively	ADV
esrj-38712	173	42	reliable	reliable	ADJ
esrj-38712	173	43	solution	solution	NOUN
esrj-38712	173	44	for	for	ADP
esrj-38712	173	45	assessing	assess	VERB
esrj-38712	173	46	the	the	DET
esrj-38712	173	47	pile	pile	ADJ
esrj-38712	173	48	bearing	bearing	NOUN
esrj-38712	173	49	capacity	capacity	NOUN
esrj-38712	173	50	and	and	CCONJ
esrj-38712	173	51	its	its	PRON
esrj-38712	173	52	distribution	distribution	NOUN
esrj-38712	173	53	.	.	PUNCT
esrj-38712	174	1	although	although	SCONJ
esrj-38712	174	2	direct	direct	ADJ
esrj-38712	174	3	determination	determination	NOUN
esrj-38712	174	4	of	of	ADP
esrj-38712	174	5	pile	pile	ADJ
esrj-38712	174	6	bearing	bearing	NOUN
esrj-38712	174	7	capacity	capacity	NOUN
esrj-38712	174	8	through	through	ADP
esrj-38712	174	9	slt	slt	PROPN
esrj-38712	174	10	is	be	AUX
esrj-38712	174	11	still	still	ADV
esrj-38712	174	12	recommended	recommend	VERB
esrj-38712	174	13	due	due	ADP
esrj-38712	174	14	to	to	ADP
esrj-38712	174	15	the	the	DET
esrj-38712	174	16	amount	amount	NOUN
esrj-38712	174	17	of	of	ADP
esrj-38712	174	18	uncertainties	uncertainty	NOUN
esrj-38712	174	19	in	in	ADP
esrj-38712	174	20	other	other	ADJ
esrj-38712	174	21	semi	semi	ADJ
esrj-38712	174	22	empirical	empirical	ADJ
esrj-38712	174	23	methods	method	NOUN
esrj-38712	174	24	(	(	PUNCT
esrj-38712	174	25	momeni	momeni	PROPN
esrj-38712	174	26	et	et	PROPN
esrj-38712	174	27	al	al	PROPN
esrj-38712	174	28	,	,	PUNCT
esrj-38712	174	29	2013	2013	NUM
esrj-38712	174	30	)	)	PUNCT
esrj-38712	174	31	,	,	PUNCT
esrj-38712	174	32	the	the	DET
esrj-38712	174	33	use	use	NOUN
esrj-38712	174	34	of	of	ADP
esrj-38712	174	35	proposed	propose	VERB
esrj-38712	174	36	ann	ann	PROPN
esrj-38712	174	37	-	-	PUNCT
esrj-38712	174	38	based	base	VERB
esrj-38712	174	39	predictive	predictive	ADJ
esrj-38712	174	40	model	model	NOUN
esrj-38712	174	41	is	be	AUX
esrj-38712	174	42	of	of	ADP
esrj-38712	174	43	advantage	advantage	NOUN
esrj-38712	174	44	as	as	SCONJ
esrj-38712	174	45	it	it	PRON
esrj-38712	174	46	can	can	AUX
esrj-38712	174	47	reduce	reduce	VERB
esrj-38712	174	48	the	the	DET
esrj-38712	174	49	required	require	VERB
esrj-38712	174	50	number	number	NOUN
esrj-38712	174	51	of	of	ADP
esrj-38712	174	52	pda	pda	NOUN
esrj-38712	174	53	tests	test	NOUN
esrj-38712	174	54	in	in	ADP
esrj-38712	174	55	each	each	DET
esrj-38712	174	56	project	project	NOUN
esrj-38712	174	57	.	.	PUNCT
esrj-38712	175	1	6	6	NUM
esrj-38712	175	2	.	.	X
esrj-38712	175	3	sensitivity	sensitivity	NOUN
esrj-38712	175	4	analysis	analysis	NOUN
esrj-38712	175	5	sensitivity	sensitivity	NOUN
esrj-38712	175	6	analysis	analysis	NOUN
esrj-38712	175	7	was	be	AUX
esrj-38712	175	8	performed	perform	VERB
esrj-38712	175	9	to	to	PART
esrj-38712	175	10	recognize	recognize	VERB
esrj-38712	175	11	the	the	DET
esrj-38712	175	12	importance	importance	NOUN
esrj-38712	175	13	of	of	ADP
esrj-38712	175	14	each	each	DET
esrj-38712	175	15	input	input	NOUN
esrj-38712	175	16	variable	variable	NOUN
esrj-38712	175	17	on	on	ADP
esrj-38712	175	18	the	the	DET
esrj-38712	175	19	axial	axial	ADJ
esrj-38712	175	20	bearing	bearing	NOUN
esrj-38712	175	21	capacity	capacity	NOUN
esrj-38712	175	22	of	of	ADP
esrj-38712	175	23	piles	pile	NOUN
esrj-38712	175	24	.	.	PUNCT
esrj-38712	176	1	for	for	ADP
esrj-38712	176	2	this	this	DET
esrj-38712	176	3	reason	reason	NOUN
esrj-38712	176	4	,	,	PUNCT
esrj-38712	176	5	the	the	DET
esrj-38712	176	6	strength	strength	NOUN
esrj-38712	176	7	of	of	ADP
esrj-38712	176	8	the	the	DET
esrj-38712	176	9	relations	relation	NOUN
esrj-38712	176	10	between	between	ADP
esrj-38712	176	11	the	the	DET
esrj-38712	176	12	output	output	NOUN
esrj-38712	176	13	parameters	parameter	NOUN
esrj-38712	176	14	and	and	CCONJ
esrj-38712	176	15	the	the	DET
esrj-38712	176	16	input	input	NOUN
esrj-38712	176	17	parameters	parameter	NOUN
esrj-38712	176	18	was	be	AUX
esrj-38712	176	19	evaluated	evaluate	VERB
esrj-38712	176	20	using	use	VERB
esrj-38712	176	21	cosine	cosine	NOUN
esrj-38712	176	22	amplitude	amplitude	NOUN
esrj-38712	176	23	method	method	NOUN
esrj-38712	176	24	(	(	PUNCT
esrj-38712	176	25	cam	cam	NOUN
esrj-38712	176	26	)	)	PUNCT
esrj-38712	176	27	.	.	PUNCT
esrj-38712	177	1	this	this	DET
esrj-38712	177	2	use	use	NOUN
esrj-38712	177	3	of	of	ADP
esrj-38712	177	4	this	this	DET
esrj-38712	177	5	sensitivity	sensitivity	NOUN
esrj-38712	177	6	analysis	analysis	NOUN
esrj-38712	177	7	is	be	AUX
esrj-38712	177	8	reported	report	VERB
esrj-38712	177	9	in	in	ADP
esrj-38712	177	10	several	several	ADJ
esrj-38712	177	11	studies	study	NOUN
esrj-38712	177	12	(	(	PUNCT
esrj-38712	177	13	yang	yang	PROPN
esrj-38712	177	14	and	and	CCONJ
esrj-38712	177	15	zhang	zhang	PROPN
esrj-38712	177	16	,	,	PUNCT
esrj-38712	177	17	1997	1997	NUM
esrj-38712	177	18	;	;	PUNCT
esrj-38712	177	19	jong	jong	PROPN
esrj-38712	177	20	and	and	CCONJ
esrj-38712	177	21	lee	lee	PROPN
esrj-38712	177	22	,	,	PUNCT
esrj-38712	177	23	2004	2004	NUM
esrj-38712	177	24	)	)	PUNCT
esrj-38712	177	25	.	.	PUNCT
esrj-38712	178	1	to	to	PART
esrj-38712	178	2	utilize	utilize	VERB
esrj-38712	178	3	cam	cam	PROPN
esrj-38712	178	4	,	,	PUNCT
esrj-38712	178	5	all	all	DET
esrj-38712	178	6	data	datum	NOUN
esrj-38712	178	7	pairs	pair	NOUN
esrj-38712	178	8	were	be	AUX
esrj-38712	178	9	expressed	express	VERB
esrj-38712	178	10	in	in	ADP
esrj-38712	178	11	common	common	ADJ
esrj-38712	178	12	u	u	NOUN
esrj-38712	178	13	-	-	NOUN
esrj-38712	178	14	space	space	NOUN
esrj-38712	178	15	.	.	PUNCT
esrj-38712	179	1	the	the	DET
esrj-38712	179	2	data	data	NOUN
esrj-38712	179	3	pairs	pair	NOUN
esrj-38712	179	4	used	use	VERB
esrj-38712	179	5	to	to	PART
esrj-38712	179	6	construct	construct	VERB
esrj-38712	179	7	a	a	DET
esrj-38712	179	8	data	data	NOUN
esrj-38712	179	9	array	array	NOUN
esrj-38712	179	10	u	u	NOUN
esrj-38712	179	11	is	be	AUX
esrj-38712	179	12	defined	define	VERB
esrj-38712	179	13	as	as	ADP
esrj-38712	179	14	:	:	PUNCT
esrj-38712	179	15	u=	u=	NOUN
esrj-38712	179	16	the	the	DET
esrj-38712	179	17	elements	element	NOUN
esrj-38712	179	18	ui	ui	INTJ
esrj-38712	179	19	in	in	ADP
esrj-38712	179	20	the	the	DET
esrj-38712	179	21	array	array	NOUN
esrj-38712	179	22	u	u	NOUN
esrj-38712	179	23	is	be	AUX
esrj-38712	179	24	a	a	DET
esrj-38712	179	25	vector	vector	NOUN
esrj-38712	179	26	of	of	ADP
esrj-38712	179	27	lengths	length	NOUN
esrj-38712	179	28	m	m	VERB
esrj-38712	179	29	that	that	PRON
esrj-38712	179	30	is	be	AUX
esrj-38712	179	31	:	:	PUNCT
esrj-38712	179	32	(	(	PUNCT
esrj-38712	179	33	3	3	X
esrj-38712	179	34	)	)	PUNCT
esrj-38712	179	35	(	(	PUNCT
esrj-38712	179	36	4	4	NUM
esrj-38712	179	37	)	)	PUNCT
esrj-38712	179	38	therefore	therefore	ADV
esrj-38712	179	39	,	,	PUNCT
esrj-38712	179	40	each	each	DET
esrj-38712	179	41	data	datum	NOUN
esrj-38712	179	42	pair	pair	NOUN
esrj-38712	179	43	can	can	AUX
esrj-38712	179	44	be	be	AUX
esrj-38712	179	45	considered	consider	VERB
esrj-38712	179	46	as	as	ADP
esrj-38712	179	47	a	a	DET
esrj-38712	179	48	point	point	NOUN
esrj-38712	179	49	in	in	ADP
esrj-38712	179	50	m	m	ADJ
esrj-38712	179	51	-	-	ADJ
esrj-38712	179	52	dimensional	dimensional	ADJ
esrj-38712	179	53	space	space	NOUN
esrj-38712	179	54	,	,	PUNCT
esrj-38712	179	55	where	where	SCONJ
esrj-38712	179	56	each	each	DET
esrj-38712	179	57	point	point	NOUN
esrj-38712	179	58	requires	require	VERB
esrj-38712	179	59	m	m	NOUN
esrj-38712	179	60	-	-	NOUN
esrj-38712	179	61	coordinates	coordinate	NOUN
esrj-38712	179	62	for	for	ADP
esrj-38712	179	63	a	a	DET
esrj-38712	179	64	full	full	ADJ
esrj-38712	179	65	description	description	NOUN
esrj-38712	179	66	.	.	PUNCT
esrj-38712	180	1	the	the	DET
esrj-38712	180	2	strength	strength	NOUN
esrj-38712	180	3	of	of	ADP
esrj-38712	180	4	relation	relation	NOUN
esrj-38712	180	5	between	between	ADP
esrj-38712	180	6	data	datum	NOUN
esrj-38712	180	7	pairs	pair	NOUN
esrj-38712	180	8	,	,	PUNCT
esrj-38712	180	9	ui	ui	PROPN
esrj-38712	180	10	and	and	CCONJ
esrj-38712	180	11	uj	uj	PROPN
esrj-38712	180	12	,	,	PUNCT
esrj-38712	180	13	is	be	AUX
esrj-38712	180	14	represented	represent	VERB
esrj-38712	180	15	by	by	ADP
esrj-38712	180	16	the	the	DET
esrj-38712	180	17	following	follow	VERB
esrj-38712	180	18	equation	equation	NOUN
esrj-38712	180	19	:	:	PUNCT
esrj-38712	180	20	(	(	PUNCT
esrj-38712	180	21	5	5	X
esrj-38712	180	22	)	)	PUNCT
esrj-38712	180	23	the	the	DET
esrj-38712	180	24	strength	strength	NOUN
esrj-38712	180	25	of	of	ADP
esrj-38712	180	26	the	the	DET
esrj-38712	180	27	relation	relation	NOUN
esrj-38712	180	28	(	(	PUNCT
esrj-38712	180	29	rij	rij	ADJ
esrj-38712	180	30	value	value	NOUN
esrj-38712	180	31	)	)	PUNCT
esrj-38712	180	32	indicates	indicate	VERB
esrj-38712	180	33	the	the	DET
esrj-38712	180	34	influence	influence	NOUN
esrj-38712	180	35	of	of	ADP
esrj-38712	180	36	different	different	ADJ
esrj-38712	180	37	input	input	NOUN
esrj-38712	180	38	parameters	parameter	NOUN
esrj-38712	180	39	on	on	ADP
esrj-38712	180	40	one	one	NUM
esrj-38712	180	41	of	of	ADP
esrj-38712	180	42	the	the	DET
esrj-38712	180	43	output	output	NOUN
esrj-38712	180	44	parameters	parameter	NOUN
esrj-38712	180	45	.	.	PUNCT
esrj-38712	181	1	the	the	PRON
esrj-38712	181	2	larger	large	ADJ
esrj-38712	181	3	the	the	DET
esrj-38712	181	4	value	value	NOUN
esrj-38712	181	5	of	of	ADP
esrj-38712	181	6	rij	rij	ADJ
esrj-38712	181	7	becomes	become	VERB
esrj-38712	181	8	,	,	PUNCT
esrj-38712	181	9	the	the	DET
esrj-38712	181	10	higher	high	ADJ
esrj-38712	181	11	is	be	AUX
esrj-38712	181	12	the	the	DET
esrj-38712	181	13	effect	effect	NOUN
esrj-38712	181	14	on	on	ADP
esrj-38712	181	15	the	the	DET
esrj-38712	181	16	output	output	NOUN
esrj-38712	181	17	.	.	PUNCT
esrj-38712	182	1	for	for	ADP
esrj-38712	182	2	example	example	NOUN
esrj-38712	182	3	,	,	PUNCT
esrj-38712	182	4	if	if	SCONJ
esrj-38712	182	5	the	the	DET
esrj-38712	182	6	output	output	NOUN
esrj-38712	182	7	has	have	VERB
esrj-38712	182	8	no	no	DET
esrj-38712	182	9	relation	relation	NOUN
esrj-38712	182	10	with	with	ADP
esrj-38712	182	11	the	the	DET
esrj-38712	182	12	input	input	NOUN
esrj-38712	182	13	,	,	PUNCT
esrj-38712	182	14	then	then	ADV
esrj-38712	182	15	the	the	DET
esrj-38712	182	16	rij	rij	ADJ
esrj-38712	182	17	value	value	NOUN
esrj-38712	182	18	is	be	AUX
esrj-38712	182	19	zero	zero	NUM
esrj-38712	182	20	,	,	PUNCT
esrj-38712	182	21	while	while	SCONJ
esrj-38712	182	22	the	the	DET
esrj-38712	182	23	value	value	NOUN
esrj-38712	182	24	of	of	ADP
esrj-38712	182	25	rij	rij	PROPN
esrj-38712	182	26	closer	close	ADV
esrj-38712	182	27	to	to	ADP
esrj-38712	182	28	1	1	NUM
esrj-38712	182	29	expresses	express	VERB
esrj-38712	182	30	the	the	DET
esrj-38712	182	31	further	further	ADJ
esrj-38712	182	32	influence	influence	NOUN
esrj-38712	182	33	of	of	ADP
esrj-38712	182	34	the	the	DET
esrj-38712	182	35	input	input	NOUN
esrj-38712	182	36	parameter	parameter	NOUN
esrj-38712	182	37	.	.	PUNCT
esrj-38712	183	1	nevertheless	nevertheless	ADV
esrj-38712	183	2	,	,	PUNCT
esrj-38712	183	3	the	the	DET
esrj-38712	183	4	obtained	obtain	VERB
esrj-38712	183	5	strength	strength	NOUN
esrj-38712	183	6	of	of	ADP
esrj-38712	183	7	relations	relation	NOUN
esrj-38712	183	8	of	of	ADP
esrj-38712	183	9	the	the	DET
esrj-38712	183	10	problem	problem	NOUN
esrj-38712	183	11	in	in	ADP
esrj-38712	183	12	hand	hand	NOUN
esrj-38712	183	13	is	be	AUX
esrj-38712	183	14	shown	show	VERB
esrj-38712	183	15	in	in	ADP
esrj-38712	183	16	figure	figure	NOUN
esrj-38712	183	17	10	10	NUM
esrj-38712	183	18	.	.	PUNCT
esrj-38712	184	1	this	this	DET
esrj-38712	184	2	figure	figure	NOUN
esrj-38712	184	3	suggests	suggest	VERB
esrj-38712	184	4	that	that	SCONJ
esrj-38712	184	5	the	the	DET
esrj-38712	184	6	most	most	ADV
esrj-38712	184	7	influential	influential	ADJ
esrj-38712	184	8	parameters	parameter	NOUN
esrj-38712	184	9	on	on	ADP
esrj-38712	184	10	qs	qs	ADP
esrj-38712	184	11	,	,	PUNCT
esrj-38712	184	12	qp	qp	NOUN
esrj-38712	184	13	and	and	CCONJ
esrj-38712	184	14	qu	qu	PROPN
esrj-38712	184	15	are	be	AUX
esrj-38712	184	16	pile	pile	ADJ
esrj-38712	184	17	area	area	NOUN
esrj-38712	184	18	and	and	CCONJ
esrj-38712	184	19	pile	pile	ADJ
esrj-38712	184	20	length	length	NOUN
esrj-38712	184	21	.	.	PUNCT
esrj-38712	185	1	92	92	NUM
esrj-38712	185	2	ehsan	ehsan	PROPN
esrj-38712	185	3	momeni	momeni	PROPN
esrj-38712	185	4	,	,	PUNCT
esrj-38712	185	5	ramli	ramli	PROPN
esrj-38712	185	6	nazir	nazir	PROPN
esrj-38712	185	7	,	,	PUNCT
esrj-38712	185	8	danial	danial	PROPN
esrj-38712	185	9	jahed	jahe	VERB
esrj-38712	185	10	armaghani	armaghani	PROPN
esrj-38712	185	11	,	,	PUNCT
esrj-38712	185	12	harnedi	harnedi	PROPN
esrj-38712	185	13	maizir	maizir	PROPN
esrj-38712	185	14	figure	figure	NOUN
esrj-38712	185	15	10	10	NUM
esrj-38712	185	16	.	.	PUNCT
esrj-38712	186	1	strengths	strength	NOUN
esrj-38712	186	2	of	of	ADP
esrj-38712	186	3	relation	relation	NOUN
esrj-38712	186	4	(	(	PUNCT
esrj-38712	186	5	rij	rij	ADJ
esrj-38712	186	6	)	)	PUNCT
esrj-38712	186	7	between	between	ADP
esrj-38712	186	8	qs	qs	NOUN
esrj-38712	186	9	and	and	CCONJ
esrj-38712	186	10	qp	qp	NOUN
esrj-38712	186	11	and	and	CCONJ
esrj-38712	186	12	input	input	NOUN
esrj-38712	186	13	parameter	parameter	NOUN
esrj-38712	186	14	8	8	NUM
esrj-38712	186	15	.	.	PUNCT
esrj-38712	187	1	summary	summary	NOUN
esrj-38712	187	2	and	and	CCONJ
esrj-38712	187	3	conclusion	conclusion	NOUN
esrj-38712	187	4	to	to	PART
esrj-38712	187	5	develop	develop	VERB
esrj-38712	187	6	an	an	DET
esrj-38712	187	7	ann	ann	NOUN
esrj-38712	187	8	-	-	PUNCT
esrj-38712	187	9	based	base	VERB
esrj-38712	187	10	predictive	predictive	ADJ
esrj-38712	187	11	model	model	NOUN
esrj-38712	187	12	for	for	ADP
esrj-38712	187	13	estimating	estimate	VERB
esrj-38712	187	14	the	the	DET
esrj-38712	187	15	axial	axial	ADJ
esrj-38712	187	16	bearing	bearing	NOUN
esrj-38712	187	17	capacity	capacity	NOUN
esrj-38712	187	18	of	of	ADP
esrj-38712	187	19	piles	pile	NOUN
esrj-38712	187	20	,	,	PUNCT
esrj-38712	187	21	36	36	NUM
esrj-38712	187	22	pda	pda	NOUN
esrj-38712	187	23	tests	test	NOUN
esrj-38712	187	24	were	be	AUX
esrj-38712	187	25	performed	perform	VERB
esrj-38712	187	26	on	on	ADP
esrj-38712	187	27	different	different	ADJ
esrj-38712	187	28	concrete	concrete	ADJ
esrj-38712	187	29	piles	pile	NOUN
esrj-38712	187	30	with	with	ADP
esrj-38712	187	31	various	various	ADJ
esrj-38712	187	32	diameters	diameter	NOUN
esrj-38712	187	33	and	and	CCONJ
esrj-38712	187	34	lengths	length	NOUN
esrj-38712	187	35	.	.	PUNCT
esrj-38712	188	1	the	the	DET
esrj-38712	188	2	tests	test	NOUN
esrj-38712	188	3	were	be	AUX
esrj-38712	188	4	mostly	mostly	ADV
esrj-38712	188	5	performed	perform	VERB
esrj-38712	188	6	in	in	ADP
esrj-38712	188	7	cohesionless	cohesionless	NOUN
esrj-38712	188	8	soils	soil	NOUN
esrj-38712	188	9	.	.	PUNCT
esrj-38712	189	1	for	for	ADP
esrj-38712	189	2	network	network	NOUN
esrj-38712	189	3	construction	construction	NOUN
esrj-38712	189	4	purpose	purpose	NOUN
esrj-38712	189	5	,	,	PUNCT
esrj-38712	189	6	the	the	DET
esrj-38712	189	7	pda	pda	NOUN
esrj-38712	189	8	results	result	VERB
esrj-38712	189	9	,	,	PUNCT
esrj-38712	189	10	pile	pile	NOUN
esrj-38712	189	11	length	length	NOUN
esrj-38712	189	12	and	and	CCONJ
esrj-38712	189	13	cross	cross	VERB
esrj-38712	189	14	sectional	sectional	ADJ
esrj-38712	189	15	area	area	NOUN
esrj-38712	189	16	,	,	PUNCT
esrj-38712	189	17	and	and	CCONJ
esrj-38712	189	18	the	the	DET
esrj-38712	189	19	average	average	ADJ
esrj-38712	189	20	spt	spt	NOUN
esrj-38712	189	21	(	(	PUNCT
esrj-38712	189	22	n	n	CCONJ
esrj-38712	189	23	)	)	PUNCT
esrj-38712	189	24	values	value	NOUN
esrj-38712	189	25	along	along	ADP
esrj-38712	189	26	the	the	DET
esrj-38712	189	27	pile	pile	ADJ
esrj-38712	189	28	shaft	shaft	NOUN
esrj-38712	189	29	and	and	CCONJ
esrj-38712	189	30	tip	tip	NOUN
esrj-38712	189	31	were	be	AUX
esrj-38712	189	32	used	use	VERB
esrj-38712	189	33	as	as	ADP
esrj-38712	189	34	inputs	input	NOUN
esrj-38712	189	35	while	while	SCONJ
esrj-38712	189	36	the	the	DET
esrj-38712	189	37	pile	pile	ADJ
esrj-38712	189	38	bearing	bearing	NOUN
esrj-38712	189	39	capacity	capacity	NOUN
esrj-38712	189	40	and	and	CCONJ
esrj-38712	189	41	its	its	PRON
esrj-38712	189	42	distribution	distribution	NOUN
esrj-38712	189	43	were	be	AUX
esrj-38712	189	44	set	set	VERB
esrj-38712	189	45	as	as	ADP
esrj-38712	189	46	outputs	output	NOUN
esrj-38712	189	47	.	.	PUNCT
esrj-38712	190	1	through	through	ADP
esrj-38712	190	2	a	a	DET
esrj-38712	190	3	trial	trial	NOUN
esrj-38712	190	4	-	-	PUNCT
esrj-38712	190	5	and	and	CCONJ
esrj-38712	190	6	-	-	PUNCT
esrj-38712	190	7	error	error	NOUN
esrj-38712	190	8	procedure	procedure	NOUN
esrj-38712	190	9	,	,	PUNCT
esrj-38712	190	10	it	it	PRON
esrj-38712	190	11	was	be	AUX
esrj-38712	190	12	found	find	VERB
esrj-38712	190	13	that	that	SCONJ
esrj-38712	190	14	a	a	DET
esrj-38712	190	15	network	network	NOUN
esrj-38712	190	16	with	with	ADP
esrj-38712	190	17	five	five	NUM
esrj-38712	190	18	hidden	hide	VERB
esrj-38712	190	19	nodes	node	NOUN
esrj-38712	190	20	in	in	ADP
esrj-38712	190	21	one	one	NUM
esrj-38712	190	22	hidden	hide	VERB
esrj-38712	190	23	layer	layer	NOUN
esrj-38712	190	24	yields	yield	VERB
esrj-38712	190	25	the	the	DET
esrj-38712	190	26	best	good	ADJ
esrj-38712	190	27	performance	performance	NOUN
esrj-38712	190	28	.	.	PUNCT
esrj-38712	191	1	the	the	DET
esrj-38712	191	2	coefficients	coefficient	NOUN
esrj-38712	191	3	of	of	ADP
esrj-38712	191	4	determination	determination	NOUN
esrj-38712	191	5	equal	equal	ADJ
esrj-38712	191	6	to	to	ADP
esrj-38712	191	7	0.941	0.941	NUM
esrj-38712	191	8	,	,	PUNCT
esrj-38712	191	9	0.936	0.936	NUM
esrj-38712	191	10	,	,	PUNCT
esrj-38712	191	11	and	and	CCONJ
esrj-38712	191	12	0.951	0.951	NUM
esrj-38712	191	13	for	for	ADP
esrj-38712	191	14	testing	testing	NOUN
esrj-38712	191	15	data	datum	NOUN
esrj-38712	191	16	revealed	reveal	VERB
esrj-38712	191	17	the	the	DET
esrj-38712	191	18	reliability	reliability	NOUN
esrj-38712	191	19	of	of	ADP
esrj-38712	191	20	the	the	DET
esrj-38712	191	21	proposed	propose	VERB
esrj-38712	191	22	ann	ann	PROPN
esrj-38712	191	23	model	model	NOUN
esrj-38712	191	24	in	in	ADP
esrj-38712	191	25	predicting	predict	VERB
esrj-38712	191	26	the	the	DET
esrj-38712	191	27	shaft	shaft	NOUN
esrj-38712	191	28	,	,	PUNCT
esrj-38712	191	29	tip	tip	NOUN
esrj-38712	191	30	and	and	CCONJ
esrj-38712	191	31	ultimate	ultimate	ADJ
esrj-38712	191	32	bearing	bearing	NOUN
esrj-38712	191	33	capacities	capacity	NOUN
esrj-38712	191	34	of	of	ADP
esrj-38712	191	35	piles	pile	NOUN
esrj-38712	191	36	,	,	PUNCT
esrj-38712	191	37	respectively	respectively	ADV
esrj-38712	191	38	.	.	PUNCT
esrj-38712	192	1	additionally	additionally	ADV
esrj-38712	192	2	,	,	PUNCT
esrj-38712	192	3	through	through	ADP
esrj-38712	192	4	a	a	DET
esrj-38712	192	5	sensitivity	sensitivity	NOUN
esrj-38712	192	6	analysis	analysis	NOUN
esrj-38712	192	7	,	,	PUNCT
esrj-38712	192	8	it	it	PRON
esrj-38712	192	9	was	be	AUX
esrj-38712	192	10	found	find	VERB
esrj-38712	192	11	that	that	SCONJ
esrj-38712	192	12	the	the	DET
esrj-38712	192	13	pile	pile	ADJ
esrj-38712	192	14	length	length	NOUN
esrj-38712	192	15	and	and	CCONJ
esrj-38712	192	16	cross	cross	VERB
esrj-38712	192	17	sectional	sectional	ADJ
esrj-38712	192	18	area	area	NOUN
esrj-38712	192	19	are	be	AUX
esrj-38712	192	20	the	the	DET
esrj-38712	192	21	most	most	ADV
esrj-38712	192	22	influential	influential	ADJ
esrj-38712	192	23	parameters	parameter	NOUN
esrj-38712	192	24	in	in	ADP
esrj-38712	192	25	predicting	predict	VERB
esrj-38712	192	26	the	the	DET
esrj-38712	192	27	bearing	bearing	NOUN
esrj-38712	192	28	capacity	capacity	NOUN
esrj-38712	192	29	of	of	ADP
esrj-38712	192	30	piles	pile	NOUN
esrj-38712	192	31	.	.	PUNCT
esrj-38712	193	1	acknowledgement	acknowledgement	NOUN
esrj-38712	193	2	the	the	DET
esrj-38712	193	3	authors	author	NOUN
esrj-38712	193	4	would	would	AUX
esrj-38712	193	5	like	like	VERB
esrj-38712	193	6	to	to	PART
esrj-38712	193	7	thank	thank	VERB
esrj-38712	193	8	the	the	DET
esrj-38712	193	9	research	research	NOUN
esrj-38712	193	10	management	management	NOUN
esrj-38712	193	11	centre	centre	NOUN
esrj-38712	193	12	of	of	ADP
esrj-38712	193	13	universiti	universiti	PROPN
esrj-38712	193	14	teknologi	teknologi	PROPN
esrj-38712	193	15	malaysia	malaysia	PROPN
esrj-38712	193	16	(	(	PUNCT
esrj-38712	193	17	utm	utm	PROPN
esrj-38712	193	18	)	)	PUNCT
esrj-38712	193	19	and	and	CCONJ
esrj-38712	193	20	ministry	ministry	PROPN
esrj-38712	193	21	of	of	ADP
esrj-38712	193	22	science	science	PROPN
esrj-38712	193	23	,	,	PUNCT
esrj-38712	193	24	technology	technology	NOUN
esrj-38712	193	25	and	and	CCONJ
esrj-38712	193	26	innovation	innovation	NOUN
esrj-38712	193	27	(	(	PUNCT
esrj-38712	193	28	mosti	mosti	NOUN
esrj-38712	193	29	)	)	PUNCT
esrj-38712	193	30	for	for	ADP
esrj-38712	193	31	providing	provide	VERB
esrj-38712	193	32	financial	financial	ADJ
esrj-38712	193	33	support	support	NOUN
esrj-38712	193	34	through	through	ADP
esrj-38712	193	35	research	research	NOUN
esrj-38712	193	36	vote	vote	NOUN
esrj-38712	193	37	:	:	PUNCT
esrj-38712	193	38	4s077	4s077	NUM
esrj-38712	193	39	for	for	ADP
esrj-38712	193	40	bringing	bring	VERB
esrj-38712	193	41	the	the	DET
esrj-38712	193	42	idea	idea	NOUN
esrj-38712	193	43	into	into	ADP
esrj-38712	193	44	fruition	fruition	NOUN
esrj-38712	193	45	.	.	PUNCT
esrj-38712	194	1	references	reference	NOUN
esrj-38712	194	2	abu	abu	PROPN
esrj-38712	194	3	-	-	PUNCT
esrj-38712	194	4	kiefa	kiefa	PROPN
esrj-38712	194	5	,	,	PUNCT
esrj-38712	194	6	m.	m.	NOUN
esrj-38712	194	7	(	(	PUNCT
esrj-38712	194	8	1998	1998	NUM
esrj-38712	194	9	)	)	PUNCT
esrj-38712	194	10	.	.	PUNCT
esrj-38712	195	1	general	general	ADJ
esrj-38712	195	2	regression	regression	VERB
esrj-38712	195	3	neural	neural	ADJ
esrj-38712	195	4	networks	network	NOUN
esrj-38712	195	5	for	for	ADP
esrj-38712	195	6	driven	drive	VERB
esrj-38712	195	7	piles	pile	NOUN
esrj-38712	195	8	in	in	ADP
esrj-38712	195	9	cohesionless	cohesionless	NOUN
esrj-38712	195	10	soils	soil	NOUN
esrj-38712	195	11	,	,	PUNCT
esrj-38712	195	12	journal	journal	NOUN
esrj-38712	195	13	of	of	ADP
esrj-38712	195	14	geotechnical	geotechnical	ADJ
esrj-38712	195	15	and	and	CCONJ
esrj-38712	195	16	geoenvironmental	geoenvironmental	ADJ
esrj-38712	195	17	engineering	engineering	NOUN
esrj-38712	195	18	.	.	PUNCT
esrj-38712	196	1	124	124	NUM
esrj-38712	196	2	(	(	PUNCT
esrj-38712	196	3	12	12	NUM
esrj-38712	196	4	)	)	PUNCT
esrj-38712	196	5	,	,	PUNCT
esrj-38712	196	6	1177–1185	1177–1185	NUM
esrj-38712	196	7	.	.	PUNCT
esrj-38712	197	1	adarsh	adarsh	PROPN
esrj-38712	197	2	,	,	PUNCT
esrj-38712	197	3	s.	s.	PROPN
esrj-38712	197	4	,	,	PUNCT
esrj-38712	197	5	dhanya	dhanya	PROPN
esrj-38712	197	6	,	,	PUNCT
esrj-38712	197	7	r.	r.	PROPN
esrj-38712	197	8	,	,	PUNCT
esrj-38712	197	9	krishna	krishna	PROPN
esrj-38712	197	10	,	,	PUNCT
esrj-38712	197	11	g.	g.	PROPN
esrj-38712	197	12	,	,	PUNCT
esrj-38712	197	13	merlin	merlin	PROPN
esrj-38712	197	14	,	,	PUNCT
esrj-38712	197	15	r.	r.	PROPN
esrj-38712	197	16	and	and	CCONJ
esrj-38712	197	17	tina	tina	PROPN
esrj-38712	197	18	.	.	PUNCT
esrj-38712	198	1	j.	j.	PROPN
esrj-38712	198	2	(	(	PUNCT
esrj-38712	198	3	2012	2012	NUM
esrj-38712	198	4	)	)	PUNCT
esrj-38712	198	5	.	.	PUNCT
esrj-38712	199	1	prediction	prediction	NOUN
esrj-38712	199	2	of	of	ADP
esrj-38712	199	3	ultimate	ultimate	ADJ
esrj-38712	199	4	bearing	bearing	NOUN
esrj-38712	199	5	capacity	capacity	NOUN
esrj-38712	199	6	of	of	ADP
esrj-38712	199	7	cohesionless	cohesionless	NOUN
esrj-38712	199	8	soils	soil	NOUN
esrj-38712	199	9	using	use	VERB
esrj-38712	199	10	soft	soft	ADJ
esrj-38712	199	11	computing	computing	NOUN
esrj-38712	199	12	techniques	technique	NOUN
esrj-38712	199	13	,	,	PUNCT
esrj-38712	199	14	artificial	artificial	ADJ
esrj-38712	199	15	intelligence	intelligence	NOUN
esrj-38712	199	16	.	.	PUNCT
esrj-38712	200	1	doi:10.5402/2012/628496	doi:10.5402/2012/628496	PROPN
esrj-38712	200	2	alkroosh	alkroosh	NOUN
esrj-38712	200	3	,	,	PUNCT
esrj-38712	200	4	i.	i.	NOUN
esrj-38712	200	5	and	and	CCONJ
esrj-38712	200	6	nikraz	nikraz	PROPN
esrj-38712	200	7	,	,	PUNCT
esrj-38712	200	8	h.	h.	PROPN
esrj-38712	200	9	(	(	PUNCT
esrj-38712	200	10	2012	2012	NUM
esrj-38712	200	11	)	)	PUNCT
esrj-38712	200	12	.	.	PUNCT
esrj-38712	201	1	predicting	predict	VERB
esrj-38712	201	2	axial	axial	ADJ
esrj-38712	201	3	capacity	capacity	NOUN
esrj-38712	201	4	of	of	ADP
esrj-38712	201	5	driven	drive	VERB
esrj-38712	201	6	piles	pile	NOUN
esrj-38712	201	7	in	in	ADP
esrj-38712	201	8	cohesive	cohesive	ADJ
esrj-38712	201	9	soils	soil	NOUN
esrj-38712	201	10	using	use	VERB
esrj-38712	201	11	intelligent	intelligent	ADJ
esrj-38712	201	12	computing	computing	NOUN
esrj-38712	201	13	,	,	PUNCT
esrj-38712	201	14	engineering	engineering	NOUN
esrj-38712	201	15	applications	application	NOUN
esrj-38712	201	16	of	of	ADP
esrj-38712	201	17	artificial	artificial	ADJ
esrj-38712	201	18	intelligence	intelligence	NOUN
esrj-38712	201	19	.	.	PUNCT
esrj-38712	202	1	25(3	25(3	NUM
esrj-38712	202	2	)	)	PUNCT
esrj-38712	202	3	,	,	PUNCT
esrj-38712	202	4	618	618	NUM
esrj-38712	202	5	-	-	SYM
esrj-38712	202	6	627	627	NUM
esrj-38712	202	7	.	.	PUNCT
esrj-38712	203	1	american	american	ADJ
esrj-38712	203	2	society	society	NOUN
esrj-38712	203	3	for	for	ADP
esrj-38712	203	4	testing	testing	NOUN
esrj-38712	203	5	and	and	CCONJ
esrj-38712	203	6	materials	material	NOUN
esrj-38712	203	7	(	(	PUNCT
esrj-38712	203	8	2010	2010	NUM
esrj-38712	203	9	)	)	PUNCT
esrj-38712	203	10	.	.	PUNCT
esrj-38712	204	1	standard	standard	ADJ
esrj-38712	204	2	test	test	NOUN
esrj-38712	204	3	methods	method	NOUN
esrj-38712	204	4	for	for	ADP
esrj-38712	204	5	deep	deep	ADJ
esrj-38712	204	6	foundations	foundation	NOUN
esrj-38712	204	7	under	under	ADP
esrj-38712	204	8	static	static	ADJ
esrj-38712	204	9	axial	axial	ADJ
esrj-38712	204	10	compressive	compressive	ADJ
esrj-38712	204	11	load	load	NOUN
esrj-38712	204	12	.	.	PUNCT
esrj-38712	205	1	d	d	ADP
esrj-38712	205	2	1143	1143	NUM
esrj-38712	205	3	-	-	SYM
esrj-38712	205	4	07	07	NUM
esrj-38712	205	5	,	,	PUNCT
esrj-38712	205	6	annual	annual	ADJ
esrj-38712	205	7	book	book	NOUN
esrj-38712	205	8	of	of	ADP
esrj-38712	205	9	astm	astm	PROPN
esrj-38712	205	10	standards	standard	NOUN
esrj-38712	205	11	.	.	PUNCT
esrj-38712	206	1	astm	astm	PROPN
esrj-38712	206	2	,	,	PUNCT
esrj-38712	206	3	philadelphia	philadelphia	PROPN
esrj-38712	206	4	,	,	PUNCT
esrj-38712	206	5	pa	pa	PROPN
esrj-38712	206	6	,	,	PUNCT
esrj-38712	206	7	4:07	4:07	NUM
esrj-38712	206	8	.	.	PUNCT
esrj-38712	207	1	american	american	ADJ
esrj-38712	207	2	society	society	PROPN
esrj-38712	207	3	for	for	ADP
esrj-38712	207	4	testing	testing	NOUN
esrj-38712	207	5	and	and	CCONJ
esrj-38712	207	6	materials	material	NOUN
esrj-38712	207	7	(	(	PUNCT
esrj-38712	207	8	2010	2010	NUM
esrj-38712	207	9	)	)	PUNCT
esrj-38712	207	10	.	.	PUNCT
esrj-38712	208	1	standard	standard	ADJ
esrj-38712	208	2	test	test	NOUN
esrj-38712	208	3	method	method	NOUN
esrj-38712	208	4	for	for	ADP
esrj-38712	208	5	high	high	ADJ
esrj-38712	208	6	-	-	PUNCT
esrj-38712	208	7	strain	strain	NOUN
esrj-38712	208	8	dynamic	dynamic	ADJ
esrj-38712	208	9	testing	testing	NOUN
esrj-38712	208	10	of	of	ADP
esrj-38712	208	11	piles	pile	NOUN
esrj-38712	208	12	,	,	PUNCT
esrj-38712	208	13	d	d	NOUN
esrj-38712	208	14	4945	4945	NUM
esrj-38712	208	15	-	-	SYM
esrj-38712	208	16	08	08	NUM
esrj-38712	208	17	,	,	PUNCT
esrj-38712	208	18	annual	annual	ADJ
esrj-38712	208	19	book	book	NOUN
esrj-38712	208	20	of	of	ADP
esrj-38712	208	21	astm	astm	PROPN
esrj-38712	208	22	standards	standard	NOUN
esrj-38712	208	23	.	.	PUNCT
esrj-38712	209	1	astm	astm	PROPN
esrj-38712	209	2	,	,	PUNCT
esrj-38712	209	3	philadelphia	philadelphia	PROPN
esrj-38712	209	4	,	,	PUNCT
esrj-38712	209	5	pa	pa	PROPN
esrj-38712	209	6	,	,	PUNCT
esrj-38712	209	7	4	4	NUM
esrj-38712	209	8	,	,	PUNCT
esrj-38712	209	9	08	08	NUM
esrj-38712	209	10	.	.	PUNCT
esrj-38712	209	11	ardalan	ardalan	PROPN
esrj-38712	209	12	,	,	PUNCT
esrj-38712	209	13	h.	h.	PROPN
esrj-38712	209	14	,	,	PUNCT
esrj-38712	209	15	eslami	eslami	PROPN
esrj-38712	209	16	,	,	PUNCT
esrj-38712	209	17	a.	a.	NOUN
esrj-38712	209	18	and	and	CCONJ
esrj-38712	209	19	nariman	nariman	PROPN
esrj-38712	209	20	-	-	PUNCT
esrj-38712	209	21	zadeh	zadeh	PROPN
esrj-38712	209	22	,	,	PUNCT
esrj-38712	209	23	n.	n.	PROPN
esrj-38712	209	24	(	(	PUNCT
esrj-38712	209	25	2009	2009	NUM
esrj-38712	209	26	)	)	PUNCT
esrj-38712	209	27	.	.	PUNCT
esrj-38712	210	1	piles	pile	NOUN
esrj-38712	210	2	shaft	shaft	NOUN
esrj-38712	210	3	capacity	capacity	NOUN
esrj-38712	210	4	from	from	ADP
esrj-38712	210	5	cpt	cpt	PROPN
esrj-38712	210	6	and	and	CCONJ
esrj-38712	210	7	cptu	cptu	PROPN
esrj-38712	210	8	data	datum	NOUN
esrj-38712	210	9	by	by	ADP
esrj-38712	210	10	polynomial	polynomial	ADJ
esrj-38712	210	11	neural	neural	ADJ
esrj-38712	210	12	networks	network	NOUN
esrj-38712	210	13	and	and	CCONJ
esrj-38712	210	14	genetic	genetic	ADJ
esrj-38712	210	15	algorithms	algorithm	NOUN
esrj-38712	210	16	,	,	PUNCT
esrj-38712	210	17	computers	computer	NOUN
esrj-38712	210	18	and	and	CCONJ
esrj-38712	210	19	geotechnics	geotechnic	NOUN
esrj-38712	210	20	.	.	PUNCT
esrj-38712	211	1	36	36	NUM
esrj-38712	211	2	,	,	PUNCT
esrj-38712	211	3	616–625	616–625	NUM
esrj-38712	211	4	.	.	PUNCT
esrj-38712	212	1	benali	benali	VERB
esrj-38712	212	2	,	,	PUNCT
esrj-38712	212	3	a.	a.	NOUN
esrj-38712	212	4	and	and	CCONJ
esrj-38712	212	5	nechnech	nechnech	PROPN
esrj-38712	212	6	,	,	PUNCT
esrj-38712	212	7	a.	a.	NOUN
esrj-38712	212	8	(	(	PUNCT
esrj-38712	212	9	2011	2011	NUM
esrj-38712	212	10	)	)	PUNCT
esrj-38712	212	11	.	.	PUNCT
esrj-38712	213	1	prediction	prediction	NOUN
esrj-38712	213	2	of	of	ADP
esrj-38712	213	3	the	the	DET
esrj-38712	213	4	pile	pile	ADJ
esrj-38712	213	5	capacity	capacity	NOUN
esrj-38712	213	6	in	in	ADP
esrj-38712	213	7	purely	purely	ADV
esrj-38712	213	8	coherent	coherent	ADJ
esrj-38712	213	9	soils	soil	NOUN
esrj-38712	213	10	using	use	VERB
esrj-38712	213	11	the	the	DET
esrj-38712	213	12	approach	approach	NOUN
esrj-38712	213	13	of	of	ADP
esrj-38712	213	14	the	the	DET
esrj-38712	213	15	artificial	artificial	ADJ
esrj-38712	213	16	neural	neural	ADJ
esrj-38712	213	17	networks	network	NOUN
esrj-38712	213	18	,	,	PUNCT
esrj-38712	213	19	international	international	ADJ
esrj-38712	213	20	seminar	seminar	NOUN
esrj-38712	213	21	,	,	PUNCT
esrj-38712	213	22	innovation	innovation	NOUN
esrj-38712	213	23	and	and	CCONJ
esrj-38712	213	24	valorization	valorization	NOUN
esrj-38712	213	25	in	in	ADP
esrj-38712	213	26	civil	civil	ADJ
esrj-38712	213	27	engineering	engineering	NOUN
esrj-38712	213	28	and	and	CCONJ
esrj-38712	213	29	construction	construction	NOUN
esrj-38712	213	30	materials	material	NOUN
esrj-38712	213	31	,	,	PUNCT
esrj-38712	213	32	morocco	morocco	PROPN
esrj-38712	213	33	–	–	PUNCT
esrj-38712	213	34	rabat	rabat	NOUN
esrj-38712	213	35	/	/	SYM
esrj-38712	213	36	november	november	PROPN
esrj-38712	213	37	23	23	NUM
esrj-38712	213	38	-	-	SYM
esrj-38712	213	39	25	25	NUM
esrj-38712	213	40	.	.	PUNCT
esrj-38712	214	1	chan	chan	PROPN
esrj-38712	214	2	,	,	PUNCT
esrj-38712	214	3	w.	w.	PROPN
esrj-38712	214	4	t.	t.	PROPN
esrj-38712	214	5	,	,	PUNCT
esrj-38712	214	6	chow	chow	PROPN
esrj-38712	214	7	,	,	PUNCT
esrj-38712	214	8	y.	y.	PROPN
esrj-38712	214	9	k.	k.	PROPN
esrj-38712	214	10	and	and	CCONJ
esrj-38712	214	11	liu	liu	PROPN
esrj-38712	214	12	,	,	PUNCT
esrj-38712	214	13	l.	l.	PROPN
esrj-38712	214	14	f.	f.	PROPN
esrj-38712	214	15	(	(	PUNCT
esrj-38712	214	16	1995	1995	NUM
esrj-38712	214	17	)	)	PUNCT
esrj-38712	214	18	.	.	PUNCT
esrj-38712	215	1	neural	neural	ADJ
esrj-38712	215	2	network	network	NOUN
esrj-38712	215	3	:	:	PUNCT
esrj-38712	215	4	an	an	DET
esrj-38712	215	5	alternative	alternative	NOUN
esrj-38712	215	6	to	to	ADP
esrj-38712	215	7	pile	pile	ADJ
esrj-38712	215	8	driving	driving	NOUN
esrj-38712	215	9	formulas	formula	NOUN
esrj-38712	215	10	,	,	PUNCT
esrj-38712	215	11	computers	computer	NOUN
esrj-38712	215	12	and	and	CCONJ
esrj-38712	215	13	geotechnics	geotechnic	NOUN
esrj-38712	215	14	.	.	PUNCT
esrj-38712	215	15	17(2	17(2	NUM
esrj-38712	215	16	)	)	PUNCT
esrj-38712	215	17	,	,	PUNCT
esrj-38712	215	18	135	135	NUM
esrj-38712	215	19	-	-	SYM
esrj-38712	215	20	156	156	NUM
esrj-38712	215	21	.	.	PUNCT
esrj-38712	216	1	chow	chow	PROPN
esrj-38712	216	2	,	,	PUNCT
esrj-38712	216	3	y.	y.	PROPN
esrj-38712	216	4	k.	k.	PROPN
esrj-38712	216	5	,	,	PUNCT
esrj-38712	216	6	chan	chan	PROPN
esrj-38712	216	7	,	,	PUNCT
esrj-38712	216	8	w.	w.	PROPN
esrj-38712	216	9	t.	t.	PROPN
esrj-38712	216	10	,	,	PUNCT
esrj-38712	216	11	liu	liu	PROPN
esrj-38712	216	12	,	,	PUNCT
esrj-38712	216	13	l.	l.	PROPN
esrj-38712	216	14	f.	f.	PROPN
esrj-38712	216	15	,	,	PUNCT
esrj-38712	216	16	and	and	CCONJ
esrj-38712	216	17	lee	lee	PROPN
esrj-38712	216	18	,	,	PUNCT
esrj-38712	216	19	s.	s.	PROPN
esrj-38712	216	20	l.	l.	PROPN
esrj-38712	216	21	(	(	PUNCT
esrj-38712	216	22	1995	1995	NUM
esrj-38712	216	23	)	)	PUNCT
esrj-38712	216	24	.	.	PUNCT
esrj-38712	217	1	prediction	prediction	NOUN
esrj-38712	217	2	of	of	ADP
esrj-38712	217	3	pile	pile	ADJ
esrj-38712	217	4	capacity	capacity	NOUN
esrj-38712	217	5	from	from	ADP
esrj-38712	217	6	stress	stress	NOUN
esrj-38712	217	7	-	-	PUNCT
esrj-38712	217	8	wave	wave	NOUN
esrj-38712	217	9	measurements	measurement	NOUN
esrj-38712	217	10	:	:	PUNCT
esrj-38712	217	11	a	a	DET
esrj-38712	217	12	neural	neural	ADJ
esrj-38712	217	13	network	network	NOUN
esrj-38712	217	14	approach	approach	NOUN
esrj-38712	217	15	,	,	PUNCT
esrj-38712	217	16	international	international	ADJ
esrj-38712	217	17	journal	journal	NOUN
esrj-38712	217	18	for	for	ADP
esrj-38712	217	19	numerical	numerical	ADJ
esrj-38712	217	20	and	and	CCONJ
esrj-38712	217	21	analytical	analytical	ADJ
esrj-38712	217	22	methods	method	NOUN
esrj-38712	217	23	in	in	ADP
esrj-38712	217	24	geomechanics	geomechanic	NOUN
esrj-38712	217	25	.	.	PUNCT
esrj-38712	218	1	19(2	19(2	X
esrj-38712	218	2	)	)	PUNCT
esrj-38712	218	3	,	,	PUNCT
esrj-38712	218	4	107	107	NUM
esrj-38712	218	5	-	-	SYM
esrj-38712	218	6	126	126	NUM
esrj-38712	218	7	.	.	PUNCT
esrj-38712	219	1	coyle	coyle	PROPN
esrj-38712	219	2	,	,	PUNCT
esrj-38712	219	3	h.	h.	PROPN
esrj-38712	219	4	m.	m.	PROPN
esrj-38712	219	5	and	and	CCONJ
esrj-38712	219	6	castello	castello	PROPN
esrj-38712	219	7	,	,	PUNCT
esrj-38712	219	8	r.	r.	PROPN
esrj-38712	219	9	r.	r.	PROPN
esrj-38712	219	10	(	(	PUNCT
esrj-38712	219	11	1981	1981	NUM
esrj-38712	219	12	)	)	PUNCT
esrj-38712	219	13	.	.	PUNCT
esrj-38712	220	1	new	new	ADJ
esrj-38712	220	2	design	design	NOUN
esrj-38712	220	3	correlations	correlation	NOUN
esrj-38712	220	4	for	for	ADP
esrj-38712	220	5	piles	pile	NOUN
esrj-38712	220	6	in	in	ADP
esrj-38712	220	7	sand	sand	NOUN
esrj-38712	220	8	.	.	PUNCT
esrj-38712	221	1	journal	journal	NOUN
esrj-38712	221	2	of	of	ADP
esrj-38712	221	3	the	the	DET
esrj-38712	221	4	geotechnical	geotechnical	ADJ
esrj-38712	221	5	engineering	engineering	NOUN
esrj-38712	221	6	division	division	NOUN
esrj-38712	221	7	,	,	PUNCT
esrj-38712	221	8	asce	asce	NOUN
esrj-38712	221	9	.	.	PUNCT
esrj-38712	222	1	107	107	NUM
esrj-38712	222	2	,	,	PUNCT
esrj-38712	222	3	965–986	965–986	NUM
esrj-38712	222	4	.	.	PUNCT
esrj-38712	223	1	das	das	PROPN
esrj-38712	223	2	,	,	PUNCT
esrj-38712	223	3	s.	s.	PROPN
esrj-38712	223	4	k.	k.	PROPN
esrj-38712	223	5	and	and	CCONJ
esrj-38712	223	6	basudhar	basudhar	PROPN
esrj-38712	223	7	,	,	PUNCT
esrj-38712	223	8	p.	p.	PROPN
esrj-38712	223	9	k.	k.	PROPN
esrj-38712	224	1	(	(	PUNCT
esrj-38712	224	2	2006	2006	NUM
esrj-38712	224	3	)	)	PUNCT
esrj-38712	224	4	.	.	PUNCT
esrj-38712	225	1	undrained	undrained	ADJ
esrj-38712	225	2	lateral	lateral	ADJ
esrj-38712	225	3	capacity	capacity	NOUN
esrj-38712	225	4	of	of	ADP
esrj-38712	225	5	piles	pile	NOUN
esrj-38712	225	6	in	in	ADP
esrj-38712	225	7	clay	clay	NOUN
esrj-38712	225	8	using	use	VERB
esrj-38712	225	9	artificial	artificial	ADJ
esrj-38712	225	10	neural	neural	ADJ
esrj-38712	225	11	network	network	NOUN
esrj-38712	225	12	,	,	PUNCT
esrj-38712	225	13	computers	computer	NOUN
esrj-38712	225	14	and	and	CCONJ
esrj-38712	225	15	geotechnics	geotechnic	NOUN
esrj-38712	225	16	.	.	PUNCT
esrj-38712	226	1	33	33	NUM
esrj-38712	226	2	(	(	PUNCT
esrj-38712	226	3	8)	8)	NUM
esrj-38712	226	4	,	,	PUNCT
esrj-38712	226	5	454–459	454–459	NUM
esrj-38712	226	6	.	.	PUNCT
esrj-38712	227	1	demuth	demuth	PROPN
esrj-38712	227	2	,	,	PUNCT
esrj-38712	227	3	h.	h.	PROPN
esrj-38712	227	4	,	,	PUNCT
esrj-38712	227	5	beal	beal	NOUN
esrj-38712	227	6	,	,	PUNCT
esrj-38712	227	7	m.	m.	NOUN
esrj-38712	227	8	and	and	CCONJ
esrj-38712	227	9	hagan	hagan	NOUN
esrj-38712	227	10	,	,	PUNCT
esrj-38712	227	11	m.	m.	NOUN
esrj-38712	227	12	(	(	PUNCT
esrj-38712	227	13	2007	2007	NUM
esrj-38712	227	14	)	)	PUNCT
esrj-38712	227	15	.	.	PUNCT
esrj-38712	228	1	neural	neural	ADJ
esrj-38712	228	2	network	network	PROPN
esrj-38712	228	3	toolbox	toolbox	PROPN
esrj-38712	228	4	user	user	PROPN
esrj-38712	228	5	’s	’s	PART
esrj-38712	228	6	guide	guide	NOUN
esrj-38712	228	7	,	,	PUNCT
esrj-38712	228	8	natick	natick	PROPN
esrj-38712	228	9	,	,	PUNCT
esrj-38712	228	10	ma	ma	PROPN
esrj-38712	228	11	:	:	PUNCT
esrj-38712	228	12	the	the	DET
esrj-38712	228	13	mathworks	mathworks	PROPN
esrj-38712	228	14	.	.	PUNCT
esrj-38712	229	1	dreyfus	dreyfus	PROPN
esrj-38712	229	2	,	,	PUNCT
esrj-38712	229	3	g.	g.	PROPN
esrj-38712	229	4	(	(	PUNCT
esrj-38712	229	5	2005	2005	NUM
esrj-38712	229	6	)	)	PUNCT
esrj-38712	229	7	.	.	PUNCT
esrj-38712	230	1	neural	neural	ADJ
esrj-38712	230	2	networks	network	NOUN
esrj-38712	230	3	:	:	PUNCT
esrj-38712	230	4	methodology	methodology	NOUN
esrj-38712	230	5	and	and	CCONJ
esrj-38712	230	6	application	application	NOUN
esrj-38712	230	7	,	,	PUNCT
esrj-38712	230	8	germany	germany	PROPN
esrj-38712	230	9	,	,	PUNCT
esrj-38712	230	10	springer	springer	NOUN
esrj-38712	230	11	berlin	berlin	PROPN
esrj-38712	230	12	heidelberg	heidelberg	PROPN
esrj-38712	230	13	.	.	PUNCT
esrj-38712	231	1	fausett	fausett	PROPN
esrj-38712	231	2	,	,	PUNCT
esrj-38712	231	3	l.	l.	PROPN
esrj-38712	231	4	v.	v.	PROPN
esrj-38712	231	5	(	(	PUNCT
esrj-38712	231	6	1994	1994	NUM
esrj-38712	231	7	)	)	PUNCT
esrj-38712	231	8	.	.	PUNCT
esrj-38712	232	1	fundamentals	fundamental	VERB
esrj-38712	232	2	neural	neural	ADJ
esrj-38712	232	3	networks	network	NOUN
esrj-38712	232	4	:	:	PUNCT
esrj-38712	232	5	architecture	architecture	NOUN
esrj-38712	232	6	,	,	PUNCT
esrj-38712	232	7	algorithms	algorithm	NOUN
esrj-38712	232	8	,	,	PUNCT
esrj-38712	232	9	and	and	CCONJ
esrj-38712	232	10	applications	application	NOUN
esrj-38712	232	11	,	,	PUNCT
esrj-38712	232	12	prentice	prentice	NOUN
esrj-38712	232	13	-	-	PUNCT
esrj-38712	232	14	hall	hall	NOUN
esrj-38712	232	15	,	,	PUNCT
esrj-38712	232	16	inc	inc	PROPN
esrj-38712	232	17	.	.	PROPN
esrj-38712	232	18	,	,	PUNCT
esrj-38712	232	19	englewood	englewood	PROPN
esrj-38712	232	20	cliffs	cliffs	PROPN
esrj-38712	232	21	,	,	PUNCT
esrj-38712	232	22	new	new	PROPN
esrj-38712	232	23	jersey	jersey	PROPN
esrj-38712	232	24	.	.	PUNCT
esrj-38712	233	1	fellenius	fellenius	PROPN
esrj-38712	233	2	,	,	PUNCT
esrj-38712	233	3	b.	b.	PROPN
esrj-38712	233	4	h.	h.	PROPN
esrj-38712	233	5	(	(	PUNCT
esrj-38712	233	6	1999	1999	NUM
esrj-38712	233	7	)	)	PUNCT
esrj-38712	233	8	.	.	PUNCT
esrj-38712	234	1	using	use	VERB
esrj-38712	234	2	the	the	DET
esrj-38712	234	3	pile	pile	ADJ
esrj-38712	234	4	driving	driving	NOUN
esrj-38712	234	5	analyzer	analyzer	NOUN
esrj-38712	234	6	,	,	PUNCT
esrj-38712	234	7	pile	pile	ADJ
esrj-38712	234	8	driving	driving	NOUN
esrj-38712	234	9	contractors	contractor	NOUN
esrj-38712	234	10	association	association	PROPN
esrj-38712	234	11	,	,	PUNCT
esrj-38712	234	12	pdca	pdca	PROPN
esrj-38712	234	13	,	,	PUNCT
esrj-38712	234	14	annual	annual	ADJ
esrj-38712	234	15	meeting	meeting	NOUN
esrj-38712	234	16	,	,	PUNCT
esrj-38712	234	17	san	san	PROPN
esrj-38712	234	18	diego	diego	PROPN
esrj-38712	234	19	,	,	PUNCT
esrj-38712	234	20	february	february	PROPN
esrj-38712	234	21	19	19	NUM
esrj-38712	234	22	-	-	SYM
esrj-38712	234	23	20	20	NUM
esrj-38712	234	24	,	,	PUNCT
esrj-38712	234	25	1999	1999	NUM
esrj-38712	234	26	,	,	PUNCT
esrj-38712	234	27	4	4	NUM
esrj-38712	234	28	p.	p.	NOUN
esrj-38712	234	29	fhwa	fhwa	PROPN
esrj-38712	234	30	.	.	PUNCT
esrj-38712	235	1	(	(	PUNCT
esrj-38712	235	2	2006	2006	NUM
esrj-38712	235	3	)	)	PUNCT
esrj-38712	235	4	.	.	PUNCT
esrj-38712	236	1	design	design	NOUN
esrj-38712	236	2	and	and	CCONJ
esrj-38712	236	3	construction	construction	NOUN
esrj-38712	236	4	of	of	ADP
esrj-38712	236	5	driven	drive	VERB
esrj-38712	236	6	foundations	foundation	NOUN
esrj-38712	236	7	-	-	PUNCT
esrj-38712	236	8	lesson	lesson	NOUN
esrj-38712	236	9	learned	learn	VERB
esrj-38712	236	10	on	on	ADP
esrj-38712	236	11	the	the	DET
esrj-38712	236	12	central	central	ADJ
esrj-38712	236	13	artery	artery	NOUN
esrj-38712	236	14	/	/	SYM
esrj-38712	236	15	tunnel	tunnel	NOUN
esrj-38712	236	16	project	project	NOUN
esrj-38712	236	17	,	,	PUNCT
esrj-38712	236	18	report	report	VERB
esrj-38712	236	19	no	no	INTJ
esrj-38712	236	20	.	.	PUNCT
esrj-38712	237	1	fhwahrt-05	fhwahrt-05	PROPN
esrj-38712	237	2	-	-	SYM
esrj-38712	237	3	159	159	NUM
esrj-38712	237	4	,	,	PUNCT
esrj-38712	238	1	washington	washington	PROPN
esrj-38712	238	2	,	,	PUNCT
esrj-38712	238	3	dc	dc	PROPN
esrj-38712	238	4	.	.	PUNCT
esrj-38712	238	5	garret	garret	PROPN
esrj-38712	238	6	,	,	PUNCT
esrj-38712	238	7	j.	j.	PROPN
esrj-38712	238	8	h.	h.	PROPN
esrj-38712	238	9	(	(	PUNCT
esrj-38712	238	10	1994	1994	NUM
esrj-38712	238	11	)	)	PUNCT
esrj-38712	238	12	.	.	PUNCT
esrj-38712	239	1	where	where	SCONJ
esrj-38712	239	2	and	and	CCONJ
esrj-38712	239	3	why	why	SCONJ
esrj-38712	239	4	artificial	artificial	ADJ
esrj-38712	239	5	neural	neural	ADJ
esrj-38712	239	6	networks	network	NOUN
esrj-38712	239	7	are	be	AUX
esrj-38712	239	8	applicable	applicable	ADJ
esrj-38712	239	9	in	in	ADP
esrj-38712	239	10	civil	civil	ADJ
esrj-38712	239	11	engineering	engineering	NOUN
esrj-38712	239	12	,	,	PUNCT
esrj-38712	239	13	journal	journal	NOUN
esrj-38712	239	14	computer	computer	NOUN
esrj-38712	239	15	and	and	CCONJ
esrj-38712	239	16	civil	civil	ADJ
esrj-38712	239	17	engineering	engineering	NOUN
esrj-38712	239	18	.	.	PUNCT
esrj-38712	240	1	8(2	8(2	NUM
esrj-38712	240	2	)	)	PUNCT
esrj-38712	240	3	,	,	PUNCT
esrj-38712	241	1	129–130	129–130	NUM
esrj-38712	241	2	.	.	PUNCT
esrj-38712	242	1	goble	goble	PROPN
esrj-38712	242	2	,	,	PUNCT
esrj-38712	242	3	g.	g.	PROPN
esrj-38712	242	4	g.	g.	PROPN
esrj-38712	242	5	,	,	PUNCT
esrj-38712	242	6	rausche	rausche	PROPN
esrj-38712	242	7	,	,	PUNCT
esrj-38712	242	8	f.	f.	PROPN
esrj-38712	242	9	and	and	CCONJ
esrj-38712	242	10	moses	moses	PROPN
esrj-38712	242	11	,	,	PUNCT
esrj-38712	242	12	f.	f.	PROPN
esrj-38712	242	13	(	(	PUNCT
esrj-38712	242	14	1970	1970	NUM
esrj-38712	242	15	)	)	PUNCT
esrj-38712	242	16	.	.	PUNCT
esrj-38712	243	1	dynamic	dynamic	ADJ
esrj-38712	243	2	studies	study	NOUN
esrj-38712	243	3	on	on	ADP
esrj-38712	243	4	the	the	DET
esrj-38712	243	5	bearing	bearing	NOUN
esrj-38712	243	6	capacity	capacity	NOUN
esrj-38712	243	7	of	of	ADP
esrj-38712	243	8	piles	pile	NOUN
esrj-38712	243	9	phase	phase	NOUN
esrj-38712	243	10	iii	iii	NOUN
esrj-38712	243	11	,	,	PUNCT
esrj-38712	243	12	final	final	ADJ
esrj-38712	243	13	report	report	NOUN
esrj-38712	243	14	to	to	ADP
esrj-38712	243	15	the	the	DET
esrj-38712	243	16	ohio	ohio	PROPN
esrj-38712	243	17	department	department	PROPN
esrj-38712	243	18	of	of	ADP
esrj-38712	243	19	highways	highway	NOUN
esrj-38712	243	20	,	,	PUNCT
esrj-38712	243	21	case	case	NOUN
esrj-38712	243	22	western	western	PROPN
esrj-38712	243	23	reserve	reserve	PROPN
esrj-38712	243	24	univ	univ	PROPN
esrj-38712	243	25	,	,	PUNCT
esrj-38712	243	26	cleveland	cleveland	PROPN
esrj-38712	243	27	,	,	PUNCT
esrj-38712	243	28	ohio	ohio	PROPN
esrj-38712	243	29	.	.	PUNCT
esrj-38712	244	1	goh	goh	PROPN
esrj-38712	244	2	,	,	PUNCT
esrj-38712	244	3	a.	a.	PROPN
esrj-38712	244	4	t.	t.	PROPN
esrj-38712	244	5	c.	c.	PROPN
esrj-38712	244	6	(	(	PUNCT
esrj-38712	244	7	1995	1995	NUM
esrj-38712	244	8	)	)	PUNCT
esrj-38712	244	9	.	.	PUNCT
esrj-38712	245	1	back	back	ADJ
esrj-38712	245	2	-	-	PUNCT
esrj-38712	245	3	propagation	propagation	NOUN
esrj-38712	245	4	neural	neural	ADJ
esrj-38712	245	5	networks	network	NOUN
esrj-38712	245	6	for	for	ADP
esrj-38712	245	7	modeling	model	VERB
esrj-38712	245	8	complex	complex	ADJ
esrj-38712	245	9	systems	system	NOUN
esrj-38712	245	10	,	,	PUNCT
esrj-38712	245	11	artificial	artificial	ADJ
esrj-38712	245	12	intelligence	intelligence	NOUN
esrj-38712	245	13	in	in	ADP
esrj-38712	245	14	engineering	engineering	NOUN
esrj-38712	245	15	.	.	PUNCT
esrj-38712	246	1	9	9	NUM
esrj-38712	246	2	,	,	PUNCT
esrj-38712	246	3	143	143	NUM
esrj-38712	246	4	-	-	SYM
esrj-38712	246	5	151	151	NUM
esrj-38712	246	6	.	.	PUNCT
esrj-38712	247	1	goh	goh	PROPN
esrj-38712	247	2	,	,	PUNCT
esrj-38712	247	3	a.	a.	PROPN
esrj-38712	247	4	t.	t.	PROPN
esrj-38712	247	5	c.	c.	PROPN
esrj-38712	247	6	(	(	PUNCT
esrj-38712	247	7	1996	1996	NUM
esrj-38712	247	8	)	)	PUNCT
esrj-38712	247	9	.	.	PUNCT
esrj-38712	248	1	pile	pile	ADJ
esrj-38712	248	2	driving	driving	NOUN
esrj-38712	248	3	records	record	NOUN
esrj-38712	248	4	reanalyzed	reanalyze	VERB
esrj-38712	248	5	using	use	VERB
esrj-38712	248	6	neural	neural	ADJ
esrj-38712	248	7	networks	network	NOUN
esrj-38712	248	8	,	,	PUNCT
esrj-38712	248	9	journal	journal	NOUN
esrj-38712	248	10	of	of	ADP
esrj-38712	248	11	geotechnical	geotechnical	ADJ
esrj-38712	248	12	engineering	engineering	NOUN
esrj-38712	248	13	.	.	PUNCT
esrj-38712	249	1	122(6	122(6	NUM
esrj-38712	249	2	)	)	PUNCT
esrj-38712	249	3	,	,	PUNCT
esrj-38712	249	4	492–495	492–495	NUM
esrj-38712	249	5	.	.	PUNCT
esrj-38712	250	1	haykin	haykin	PROPN
esrj-38712	250	2	,	,	PUNCT
esrj-38712	250	3	s.	s.	PROPN
esrj-38712	250	4	(	(	PUNCT
esrj-38712	250	5	1999	1999	NUM
esrj-38712	250	6	)	)	PUNCT
esrj-38712	250	7	.	.	PUNCT
esrj-38712	251	1	neural	neural	ADJ
esrj-38712	251	2	networks	network	NOUN
esrj-38712	251	3	,	,	PUNCT
esrj-38712	251	4	2nd	2nd	ADJ
esrj-38712	251	5	ed	ed	NOUN
esrj-38712	251	6	,	,	PUNCT
esrj-38712	251	7	englewood	englewood	PROPN
esrj-38712	251	8	cliffs	cliffs	PROPN
esrj-38712	251	9	,	,	PUNCT
esrj-38712	251	10	nj	nj	PROPN
esrj-38712	251	11	:	:	PUNCT
esrj-38712	251	12	prentice	prentice	NOUN
esrj-38712	251	13	-	-	PUNCT
esrj-38712	251	14	hall	hall	NOUN
esrj-38712	251	15	.	.	PUNCT
esrj-38712	252	1	hagan	hagan	PROPN
esrj-38712	252	2	,	,	PUNCT
esrj-38712	252	3	m.t	m.t	PROPN
esrj-38712	252	4	.	.	PROPN
esrj-38712	252	5	and	and	CCONJ
esrj-38712	252	6	menhaj	menhaj	PROPN
esrj-38712	252	7	,	,	PUNCT
esrj-38712	252	8	m.b	m.b	PROPN
esrj-38712	252	9	.	.	PROPN
esrj-38712	252	10	(	(	PUNCT
esrj-38712	252	11	1994	1994	NUM
esrj-38712	252	12	)	)	PUNCT
esrj-38712	252	13	.	.	PUNCT
esrj-38712	253	1	training	training	NOUN
esrj-38712	253	2	feed	feed	VERB
esrj-38712	253	3	forward	forward	ADV
esrj-38712	253	4	networks	network	NOUN
esrj-38712	253	5	with	with	ADP
esrj-38712	253	6	the	the	DET
esrj-38712	253	7	marquardt	marquardt	PROPN
esrj-38712	253	8	algorithm	algorithm	PROPN
esrj-38712	253	9	.	.	PUNCT
esrj-38712	254	1	ieee	ieee	NOUN
esrj-38712	254	2	transactions	transaction	NOUN
esrj-38712	254	3	on	on	ADP
esrj-38712	254	4	neural	neural	ADJ
esrj-38712	254	5	networks	network	NOUN
esrj-38712	254	6	5	5	NUM
esrj-38712	254	7	(	(	PUNCT
esrj-38712	254	8	6	6	NUM
esrj-38712	254	9	)	)	PUNCT
esrj-38712	254	10	,	,	PUNCT
esrj-38712	254	11	861–867	861–867	NUM
esrj-38712	254	12	.	.	PUNCT
esrj-38712	255	1	hecht	hecht	PROPN
esrj-38712	255	2	-	-	PUNCT
esrj-38712	255	3	nielsen	nielsen	PROPN
esrj-38712	255	4	,	,	PUNCT
esrj-38712	255	5	r.	r.	PROPN
esrj-38712	255	6	(	(	PUNCT
esrj-38712	255	7	1990	1990	NUM
esrj-38712	255	8	)	)	PUNCT
esrj-38712	255	9	.	.	PUNCT
esrj-38712	256	1	neuro	neuro	PROPN
esrj-38712	256	2	computing	computing	PROPN
esrj-38712	256	3	,	,	PUNCT
esrj-38712	256	4	addison	addison	PROPN
esrj-38712	256	5	-	-	PUNCT
esrj-38712	256	6	wesely	wesely	ADV
esrj-38712	256	7	publishing	publish	VERB
esrj-38712	256	8	company	company	NOUN
esrj-38712	256	9	.	.	PUNCT
esrj-38712	257	1	hornik	hornik	PROPN
esrj-38712	257	2	,	,	PUNCT
esrj-38712	257	3	k.	k.	PROPN
esrj-38712	257	4	stinchcombe	stinchcombe	PROPN
esrj-38712	257	5	,	,	PUNCT
esrj-38712	257	6	m.	m.	NOUN
esrj-38712	257	7	white	white	PROPN
esrj-38712	257	8	,	,	PUNCT
esrj-38712	257	9	h.	h.	PROPN
esrj-38712	257	10	(	(	PUNCT
esrj-38712	257	11	1989	1989	NUM
esrj-38712	257	12	)	)	PUNCT
esrj-38712	257	13	.	.	PUNCT
esrj-38712	258	1	multilayer	multilayer	ADJ
esrj-38712	258	2	feedforward	feedforward	NOUN
esrj-38712	258	3	networks	network	NOUN
esrj-38712	258	4	are	be	AUX
esrj-38712	258	5	universal	universal	ADJ
esrj-38712	258	6	approximators	approximator	NOUN
esrj-38712	258	7	,	,	PUNCT
esrj-38712	258	8	neural	neural	ADJ
esrj-38712	258	9	networks	network	NOUN
esrj-38712	258	10	2	2	NUM
esrj-38712	258	11	,	,	PUNCT
esrj-38712	258	12	359–366	359–366	NUM
esrj-38712	258	13	.	.	PUNCT
esrj-38712	259	1	jianbin	jianbin	PROPN
esrj-38712	259	2	,	,	PUNCT
esrj-38712	259	3	z.	z.	PROPN
esrj-38712	259	4	,	,	PUNCT
esrj-38712	259	5	jiewen	jiewen	PROPN
esrj-38712	259	6	,	,	PUNCT
esrj-38712	259	7	t.	t.	PROPN
esrj-38712	259	8	and	and	CCONJ
esrj-38712	259	9	yongqiang	yongqiang	PROPN
esrj-38712	259	10	,	,	PUNCT
esrj-38712	259	11	s.	s.	PROPN
esrj-38712	259	12	(	(	PUNCT
esrj-38712	259	13	2010	2010	NUM
esrj-38712	259	14	)	)	PUNCT
esrj-38712	259	15	.	.	PUNCT
esrj-38712	260	1	an	an	DET
esrj-38712	260	2	ann	ann	PROPN
esrj-38712	260	3	model	model	NOUN
esrj-38712	260	4	for	for	ADP
esrj-38712	260	5	predicting	predict	VERB
esrj-38712	260	6	level	level	NOUN
esrj-38712	260	7	ultimate	ultimate	ADJ
esrj-38712	260	8	bearing	bearing	NOUN
esrj-38712	260	9	capacity	capacity	NOUN
esrj-38712	260	10	of	of	ADP
esrj-38712	260	11	phc	phc	PROPN
esrj-38712	260	12	pipe	pipe	NOUN
esrj-38712	260	13	pile	pile	NOUN
esrj-38712	260	14	,	,	PUNCT
esrj-38712	260	15	earth	earth	NOUN
esrj-38712	260	16	and	and	CCONJ
esrj-38712	260	17	space	space	NOUN
esrj-38712	260	18	.	.	PUNCT
esrj-38712	261	1	pp	pp	ADV
esrj-38712	261	2	,	,	PUNCT
esrj-38712	261	3	3168	3168	NUM
esrj-38712	261	4	-	-	SYM
esrj-38712	261	5	3176	3176	NUM
esrj-38712	261	6	.	.	PUNCT
esrj-38712	262	1	jong	jong	PROPN
esrj-38712	262	2	,	,	PUNCT
esrj-38712	262	3	y.	y.	PROPN
esrj-38712	262	4	h.	h.	PROPN
esrj-38712	262	5	and	and	CCONJ
esrj-38712	262	6	lee	lee	PROPN
esrj-38712	262	7	,	,	PUNCT
esrj-38712	262	8	c.	c.	PROPN
esrj-38712	262	9	i.	i.	PROPN
esrj-38712	262	10	(	(	PUNCT
esrj-38712	262	11	2004	2004	NUM
esrj-38712	262	12	)	)	PUNCT
esrj-38712	262	13	.	.	PUNCT
esrj-38712	263	1	influence	influence	NOUN
esrj-38712	263	2	of	of	ADP
esrj-38712	263	3	geological	geological	ADJ
esrj-38712	263	4	conditions	condition	NOUN
esrj-38712	263	5	on	on	ADP
esrj-38712	263	6	the	the	DET
esrj-38712	263	7	powder	powder	NOUN
esrj-38712	263	8	factor	factor	NOUN
esrj-38712	263	9	for	for	ADP
esrj-38712	263	10	tunnel	tunnel	NOUN
esrj-38712	263	11	blasting	blast	VERB
esrj-38712	263	12	,	,	PUNCT
esrj-38712	263	13	international	international	ADJ
esrj-38712	263	14	journal	journal	NOUN
esrj-38712	263	15	of	of	ADP
esrj-38712	263	16	rock	rock	NOUN
esrj-38712	263	17	mechanics	mechanic	NOUN
esrj-38712	263	18	and	and	CCONJ
esrj-38712	263	19	mining	mining	NOUN
esrj-38712	263	20	sciences	science	NOUN
esrj-38712	263	21	.	.	PUNCT
esrj-38712	264	1	41	41	NUM
esrj-38712	264	2	,	,	PUNCT
esrj-38712	264	3	533–538	533–538	NUM
esrj-38712	264	4	.	.	PUNCT
esrj-38712	265	1	kaastra	kaastra	ADJ
esrj-38712	265	2	,	,	PUNCT
esrj-38712	265	3	i.	i.	PROPN
esrj-38712	265	4	boyd	boyd	PROPN
esrj-38712	265	5	,	,	PUNCT
esrj-38712	265	6	m.	m.	NOUN
esrj-38712	265	7	(	(	PUNCT
esrj-38712	265	8	1996	1996	NUM
esrj-38712	265	9	)	)	PUNCT
esrj-38712	265	10	.	.	PUNCT
esrj-38712	266	1	designing	design	VERB
esrj-38712	266	2	a	a	DET
esrj-38712	266	3	neural	neural	ADJ
esrj-38712	266	4	network	network	NOUN
esrj-38712	266	5	for	for	ADP
esrj-38712	266	6	forecasting	forecast	VERB
esrj-38712	266	7	financial	financial	ADJ
esrj-38712	266	8	and	and	CCONJ
esrj-38712	266	9	economic	economic	ADJ
esrj-38712	266	10	time	time	NOUN
esrj-38712	266	11	series	series	NOUN
esrj-38712	266	12	.	.	PUNCT
esrj-38712	267	1	neurocomputing	neurocompute	VERB
esrj-38712	267	2	10	10	NUM
esrj-38712	267	3	,	,	PUNCT
esrj-38712	267	4	215	215	NUM
esrj-38712	267	5	-	-	SYM
esrj-38712	267	6	36	36	NUM
esrj-38712	267	7	.	.	PUNCT
esrj-38712	268	1	kanellopoulas	kanellopoulas	PROPN
esrj-38712	268	2	i	i	PROPN
esrj-38712	268	3	,	,	PUNCT
esrj-38712	268	4	wilkinson	wilkinson	PROPN
esrj-38712	268	5	g.	g.	PROPN
esrj-38712	268	6	g.	g.	PROPN
esrj-38712	268	7	(	(	PUNCT
esrj-38712	268	8	1997	1997	NUM
esrj-38712	268	9	)	)	PUNCT
esrj-38712	268	10	strategies	strategy	NOUN
esrj-38712	268	11	and	and	CCONJ
esrj-38712	268	12	best	good	ADJ
esrj-38712	268	13	practice	practice	NOUN
esrj-38712	268	14	for	for	ADP
esrj-38712	268	15	neural	neural	ADJ
esrj-38712	268	16	network	network	NOUN
esrj-38712	268	17	image	image	NOUN
esrj-38712	268	18	classification	classification	NOUN
esrj-38712	268	19	.	.	PUNCT
esrj-38712	269	1	international	international	ADJ
esrj-38712	269	2	journal	journal	NOUN
esrj-38712	269	3	of	of	ADP
esrj-38712	269	4	remote	remote	ADJ
esrj-38712	269	5	sensing	sense	VERB
esrj-38712	269	6	18	18	NUM
esrj-38712	269	7	,	,	PUNCT
esrj-38712	269	8	711	711	NUM
esrj-38712	269	9	-	-	SYM
esrj-38712	269	10	25	25	NUM
esrj-38712	269	11	.	.	PUNCT
esrj-38712	270	1	kosko	kosko	PROPN
esrj-38712	270	2	,	,	PUNCT
esrj-38712	270	3	b.	b.	PROPN
esrj-38712	270	4	(	(	PUNCT
esrj-38712	270	5	1994	1994	NUM
esrj-38712	270	6	)	)	PUNCT
esrj-38712	270	7	.	.	PUNCT
esrj-38712	271	1	neural	neural	ADJ
esrj-38712	271	2	networks	network	NOUN
esrj-38712	271	3	and	and	CCONJ
esrj-38712	271	4	fuzzy	fuzzy	ADJ
esrj-38712	271	5	systems	system	NOUN
esrj-38712	271	6	:	:	PUNCT
esrj-38712	271	7	a	a	DET
esrj-38712	271	8	dynamical	dynamical	ADJ
esrj-38712	271	9	systems	system	NOUN
esrj-38712	271	10	approach	approach	NOUN
esrj-38712	271	11	to	to	ADP
esrj-38712	271	12	machine	machine	NOUN
esrj-38712	271	13	intelligence	intelligence	NOUN
esrj-38712	271	14	,	,	PUNCT
esrj-38712	271	15	prentice	prentice	NOUN
esrj-38712	271	16	hall	hall	PROPN
esrj-38712	271	17	,	,	PUNCT
esrj-38712	271	18	new	new	PROPN
esrj-38712	271	19	delhi	delhi	PROPN
esrj-38712	271	20	.	.	PUNCT
esrj-38712	272	1	lawrence	lawrence	PROPN
esrj-38712	272	2	,	,	PUNCT
esrj-38712	272	3	j.	j.	PROPN
esrj-38712	272	4	(	(	PUNCT
esrj-38712	272	5	1994	1994	NUM
esrj-38712	272	6	)	)	PUNCT
esrj-38712	272	7	.	.	PUNCT
esrj-38712	273	1	introduction	introduction	NOUN
esrj-38712	273	2	to	to	ADP
esrj-38712	273	3	neural	neural	ADJ
esrj-38712	273	4	networks	network	NOUN
esrj-38712	273	5	:	:	PUNCT
esrj-38712	273	6	design	design	NOUN
esrj-38712	273	7	,	,	PUNCT
esrj-38712	273	8	theory	theory	NOUN
esrj-38712	273	9	,	,	PUNCT
esrj-38712	273	10	and	and	CCONJ
esrj-38712	273	11	applications	application	NOUN
esrj-38712	273	12	,	,	PUNCT
esrj-38712	273	13	6th	6th	ADJ
esrj-38712	273	14	ed	ed	NOUN
esrj-38712	273	15	.	.	PUNCT
esrj-38712	274	1	nevada	nevada	PROPN
esrj-38712	274	2	city	city	PROPN
esrj-38712	274	3	,	,	PUNCT
esrj-38712	274	4	ca	ca	PROPN
esrj-38712	274	5	:	:	PUNCT
esrj-38712	274	6	california	california	PROPN
esrj-38712	274	7	scientific	scientific	ADJ
esrj-38712	274	8	software	software	NOUN
esrj-38712	274	9	.	.	PUNCT
esrj-38712	275	1	lee	lee	PROPN
esrj-38712	275	2	,	,	PUNCT
esrj-38712	275	3	i.	i.	PROPN
esrj-38712	275	4	m.	m.	PROPN
esrj-38712	275	5	and	and	CCONJ
esrj-38712	275	6	lee	lee	PROPN
esrj-38712	275	7	,	,	PUNCT
esrj-38712	275	8	j.	j.	PROPN
esrj-38712	275	9	h.	h.	PROPN
esrj-38712	275	10	(	(	PUNCT
esrj-38712	275	11	1996	1996	NUM
esrj-38712	275	12	)	)	PUNCT
esrj-38712	275	13	.	.	PUNCT
esrj-38712	276	1	prediction	prediction	NOUN
esrj-38712	276	2	of	of	ADP
esrj-38712	276	3	pile	pile	ADJ
esrj-38712	276	4	bearing	bearing	NOUN
esrj-38712	276	5	capacity	capacity	NOUN
esrj-38712	276	6	using	use	VERB
esrj-38712	276	7	artificial	artificial	ADJ
esrj-38712	276	8	neural	neural	ADJ
esrj-38712	276	9	networks	network	NOUN
esrj-38712	276	10	,	,	PUNCT
esrj-38712	276	11	computers	computer	NOUN
esrj-38712	276	12	and	and	CCONJ
esrj-38712	276	13	geotechnics	geotechnic	NOUN
esrj-38712	276	14	.	.	PUNCT
esrj-38712	277	1	18(3	18(3	NUM
esrj-38712	277	2	)	)	PUNCT
esrj-38712	277	3	,	,	PUNCT
esrj-38712	277	4	189	189	NUM
esrj-38712	277	5	-	-	SYM
esrj-38712	277	6	200	200	NUM
esrj-38712	277	7	.	.	PUNCT
esrj-38712	277	8	likins	likin	NOUN
esrj-38712	277	9	,	,	PUNCT
esrj-38712	277	10	g.	g.	PROPN
esrj-38712	277	11	and	and	CCONJ
esrj-38712	277	12	rausche	rausche	PROPN
esrj-38712	277	13	,	,	PUNCT
esrj-38712	277	14	f.	f.	PROPN
esrj-38712	277	15	(	(	PUNCT
esrj-38712	277	16	2004	2004	NUM
esrj-38712	277	17	)	)	PUNCT
esrj-38712	277	18	.	.	PUNCT
esrj-38712	278	1	correlation	correlation	NOUN
esrj-38712	278	2	of	of	ADP
esrj-38712	278	3	capwap	capwap	ADJ
esrj-38712	278	4	with	with	ADP
esrj-38712	278	5	static	static	ADJ
esrj-38712	278	6	load	load	NOUN
esrj-38712	278	7	test	test	NOUN
esrj-38712	278	8	.	.	PUNCT
esrj-38712	279	1	proceedings	proceeding	NOUN
esrj-38712	279	2	of	of	ADP
esrj-38712	279	3	the	the	DET
esrj-38712	279	4	seventh	seventh	ADJ
esrj-38712	279	5	international	international	ADJ
esrj-38712	279	6	conference	conference	NOUN
esrj-38712	279	7	on	on	ADP
esrj-38712	279	8	the	the	DET
esrj-38712	279	9	application	application	NOUN
esrj-38712	279	10	of	of	ADP
esrj-38712	279	11	stress	stress	NOUN
esrj-38712	279	12	wave	wave	NOUN
esrj-38712	279	13	theory	theory	NOUN
esrj-38712	279	14	to	to	ADP
esrj-38712	279	15	piles	pile	NOUN
esrj-38712	279	16	2004	2004	NUM
esrj-38712	279	17	,	,	PUNCT
esrj-38712	279	18	the	the	DET
esrj-38712	279	19	institute	institute	NOUN
esrj-38712	279	20	of	of	ADP
esrj-38712	279	21	engineers	engineer	NOUN
esrj-38712	279	22	malaysia	malaysia	PROPN
esrj-38712	279	23	.	.	PUNCT
esrj-38712	280	1	lok	lok	PROPN
esrj-38712	280	2	,	,	PUNCT
esrj-38712	280	3	t.	t.	PROPN
esrj-38712	280	4	m.	m.	PROPN
esrj-38712	280	5	h.	h.	PROPN
esrj-38712	280	6	and	and	CCONJ
esrj-38712	280	7	che	che	PROPN
esrj-38712	280	8	,	,	PUNCT
esrj-38712	280	9	w.	w.	PROPN
esrj-38712	280	10	f.	f.	PROPN
esrj-38712	280	11	(	(	PUNCT
esrj-38712	280	12	2004	2004	NUM
esrj-38712	280	13	)	)	PUNCT
esrj-38712	280	14	.	.	PUNCT
esrj-38712	281	1	axial	axial	ADJ
esrj-38712	281	2	capacity	capacity	NOUN
esrj-38712	281	3	prediction	prediction	NOUN
esrj-38712	281	4	for	for	ADP
esrj-38712	281	5	driven	drive	VERB
esrj-38712	281	6	piles	pile	NOUN
esrj-38712	281	7	using	use	VERB
esrj-38712	281	8	ann	ann	PROPN
esrj-38712	281	9	:	:	PUNCT
esrj-38712	281	10	model	model	PROPN
esrj-38712	281	11	comparison	comparison	PROPN
esrj-38712	281	12	,	,	PUNCT
esrj-38712	281	13	geotrans	geotran	NOUN
esrj-38712	281	14	2004	2004	NUM
esrj-38712	281	15	,	,	PUNCT
esrj-38712	281	16	geotechnical	geotechnical	ADJ
esrj-38712	281	17	engineering	engineering	NOUN
esrj-38712	281	18	for	for	ADP
esrj-38712	281	19	transportation	transportation	NOUN
esrj-38712	281	20	projects	project	NOUN
esrj-38712	281	21	(	(	PUNCT
esrj-38712	281	22	gsp	gsp	NOUN
esrj-38712	281	23	no	no	NOUN
esrj-38712	281	24	.	.	PROPN
esrj-38712	281	25	126	126	NUM
esrj-38712	281	26	)	)	PUNCT
esrj-38712	281	27	,	,	PUNCT
esrj-38712	282	1	m.	m.	PROPN
esrj-38712	282	2	k.	k.	PROPN
esrj-38712	282	3	yegian	yegian	PROPN
esrj-38712	282	4	and	and	CCONJ
esrj-38712	282	5	e.	e.	PROPN
esrj-38712	282	6	kavazanjian	kavazanjian	PROPN
esrj-38712	282	7	,	,	PUNCT
esrj-38712	282	8	eds	eds	PROPN
esrj-38712	282	9	.	.	PROPN
esrj-38712	282	10	93application	93application	NOUN
esrj-38712	282	11	of	of	ADP
esrj-38712	282	12	artificial	artificial	ADJ
esrj-38712	282	13	neural	neural	ADJ
esrj-38712	282	14	network	network	NOUN
esrj-38712	282	15	for	for	ADP
esrj-38712	282	16	predicting	predict	VERB
esrj-38712	282	17	shaft	shaft	NOUN
esrj-38712	282	18	and	and	CCONJ
esrj-38712	282	19	tip	tip	NOUN
esrj-38712	282	20	resistances	resistance	NOUN
esrj-38712	282	21	of	of	ADP
esrj-38712	282	22	concrete	concrete	ADJ
esrj-38712	282	23	piles	pile	NOUN
esrj-38712	282	24	maren	maren	NOUN
esrj-38712	282	25	,	,	PUNCT
esrj-38712	282	26	a.	a.	PROPN
esrj-38712	282	27	,	,	PUNCT
esrj-38712	282	28	harston	harston	PROPN
esrj-38712	282	29	,	,	PUNCT
esrj-38712	282	30	c.	c.	PROPN
esrj-38712	282	31	and	and	CCONJ
esrj-38712	282	32	pap	pap	PROPN
esrj-38712	282	33	,	,	PUNCT
esrj-38712	282	34	r.	r.	PROPN
esrj-38712	282	35	(	(	PUNCT
esrj-38712	282	36	1990	1990	NUM
esrj-38712	282	37	)	)	PUNCT
esrj-38712	282	38	.	.	PUNCT
esrj-38712	283	1	handbook	handbook	NOUN
esrj-38712	283	2	of	of	ADP
esrj-38712	283	3	neural	neural	ADJ
esrj-38712	283	4	computing	computing	NOUN
esrj-38712	283	5	applications	application	NOUN
esrj-38712	283	6	,	,	PUNCT
esrj-38712	283	7	academic	academic	ADJ
esrj-38712	283	8	press	press	NOUN
esrj-38712	283	9	,	,	PUNCT
esrj-38712	283	10	inc	inc	PROPN
esrj-38712	283	11	.	.	PROPN
esrj-38712	283	12	,	,	PUNCT
esrj-38712	283	13	san	san	PROPN
esrj-38712	283	14	diego	diego	PROPN
esrj-38712	283	15	,	,	PUNCT
esrj-38712	283	16	california	california	PROPN
esrj-38712	283	17	.	.	PUNCT
esrj-38712	284	1	martin	martin	PROPN
esrj-38712	284	2	,	,	PUNCT
esrj-38712	284	3	t.	t.	PROPN
esrj-38712	284	4	h.	h.	PROPN
esrj-38712	284	5	howard	howard	PROPN
esrj-38712	284	6	,	,	PUNCT
esrj-38712	284	7	b.	b.	PROPN
esrj-38712	284	8	d.	d.	PROPN
esrj-38712	284	9	mark	mark	PROPN
esrj-38712	284	10	,	,	PUNCT
esrj-38712	284	11	b.	b.	PROPN
esrj-38712	284	12	(	(	PUNCT
esrj-38712	284	13	1995	1995	NUM
esrj-38712	284	14	)	)	PUNCT
esrj-38712	284	15	.	.	PUNCT
esrj-38712	285	1	neural	neural	ADJ
esrj-38712	285	2	network	network	NOUN
esrj-38712	285	3	design	design	NOUN
esrj-38712	285	4	.	.	PUNCT
esrj-38712	286	1	pws	pws	NOUN
esrj-38712	286	2	publishing	publishing	NOUN
esrj-38712	286	3	company	company	NOUN
esrj-38712	286	4	,	,	PUNCT
esrj-38712	286	5	boston	boston	PROPN
esrj-38712	286	6	,	,	PUNCT
esrj-38712	286	7	ma	ma	PROPN
esrj-38712	286	8	.	.	PROPN
esrj-38712	286	9	masters	masters	PROPN
esrj-38712	286	10	,	,	PUNCT
esrj-38712	286	11	t.	t.	PROPN
esrj-38712	286	12	(	(	PUNCT
esrj-38712	286	13	1994	1994	NUM
esrj-38712	286	14	)	)	PUNCT
esrj-38712	286	15	.	.	PUNCT
esrj-38712	287	1	practical	practical	ADJ
esrj-38712	287	2	neural	neural	ADJ
esrj-38712	287	3	network	network	NOUN
esrj-38712	287	4	recipes	recipe	NOUN
esrj-38712	287	5	in	in	ADP
esrj-38712	287	6	c++	c++	NOUN
esrj-38712	287	7	.	.	PUNCT
esrj-38712	288	1	boston	boston	PROPN
esrj-38712	288	2	ma	ma	PROPN
esrj-38712	288	3	:	:	PUNCT
esrj-38712	288	4	academic	academic	ADJ
esrj-38712	288	5	press	press	NOUN
esrj-38712	288	6	.	.	PUNCT
esrj-38712	289	1	meyerhof	meyerhof	ADJ
esrj-38712	289	2	,	,	PUNCT
esrj-38712	289	3	g.	g.	PROPN
esrj-38712	289	4	g.	g.	PROPN
esrj-38712	289	5	(	(	PUNCT
esrj-38712	289	6	1976	1976	NUM
esrj-38712	289	7	)	)	PUNCT
esrj-38712	289	8	.	.	PUNCT
esrj-38712	290	1	bearing	bear	VERB
esrj-38712	290	2	capacity	capacity	NOUN
esrj-38712	290	3	and	and	CCONJ
esrj-38712	290	4	settlement	settlement	NOUN
esrj-38712	290	5	of	of	ADP
esrj-38712	290	6	pile	pile	ADJ
esrj-38712	290	7	foundation	foundation	NOUN
esrj-38712	290	8	,	,	PUNCT
esrj-38712	290	9	journal	journal	NOUN
esrj-38712	290	10	of	of	ADP
esrj-38712	290	11	the	the	DET
esrj-38712	290	12	geotechnical	geotechnical	ADJ
esrj-38712	290	13	engineering	engineering	NOUN
esrj-38712	290	14	division	division	NOUN
esrj-38712	290	15	asce	asce	NOUN
esrj-38712	290	16	.	.	PUNCT
esrj-38712	291	1	102	102	NUM
esrj-38712	291	2	,	,	PUNCT
esrj-38712	291	3	197–228	197–228	NUM
esrj-38712	291	4	.	.	PUNCT
esrj-38712	292	1	momeni	momeni	PROPN
esrj-38712	292	2	,	,	PUNCT
esrj-38712	292	3	e.	e.	PROPN
esrj-38712	292	4	,	,	PUNCT
esrj-38712	292	5	maizir	maizir	PROPN
esrj-38712	292	6	,	,	PUNCT
esrj-38712	292	7	h.	h.	PROPN
esrj-38712	292	8	,	,	PUNCT
esrj-38712	292	9	gofar	gofar	PROPN
esrj-38712	292	10	,	,	PUNCT
esrj-38712	292	11	n.	n.	PROPN
esrj-38712	292	12	,	,	PUNCT
esrj-38712	292	13	nazir	nazir	PROPN
esrj-38712	292	14	,	,	PUNCT
esrj-38712	292	15	r.	r.	PROPN
esrj-38712	292	16	(	(	PUNCT
esrj-38712	292	17	2013	2013	NUM
esrj-38712	292	18	)	)	PUNCT
esrj-38712	292	19	.	.	PUNCT
esrj-38712	293	1	comparative	comparative	ADJ
esrj-38712	293	2	study	study	NOUN
esrj-38712	293	3	on	on	ADP
esrj-38712	293	4	prediction	prediction	NOUN
esrj-38712	293	5	of	of	ADP
esrj-38712	293	6	axial	axial	ADJ
esrj-38712	293	7	bearing	bearing	NOUN
esrj-38712	293	8	capacity	capacity	NOUN
esrj-38712	293	9	of	of	ADP
esrj-38712	293	10	driven	drive	VERB
esrj-38712	293	11	piles	pile	NOUN
esrj-38712	293	12	in	in	ADP
esrj-38712	293	13	granular	granular	ADJ
esrj-38712	293	14	materials	material	NOUN
esrj-38712	293	15	.	.	PUNCT
esrj-38712	294	1	jurnal	jurnal	ADJ
esrj-38712	294	2	teknologi	teknologi	PROPN
esrj-38712	294	3	,	,	PUNCT
esrj-38712	294	4	61(3	61(3	NUM
esrj-38712	294	5	)	)	PUNCT
esrj-38712	294	6	15	15	NUM
esrj-38712	294	7	-	-	SYM
esrj-38712	294	8	20	20	NUM
esrj-38712	294	9	.	.	PUNCT
esrj-38712	295	1	nazir	nazir	PROPN
esrj-38712	295	2	,	,	PUNCT
esrj-38712	295	3	r.	r.	PROPN
esrj-38712	295	4	,	,	PUNCT
esrj-38712	295	5	momeni	momeni	PROPN
esrj-38712	295	6	,	,	PUNCT
esrj-38712	295	7	e.	e.	PROPN
esrj-38712	295	8	,	,	PUNCT
esrj-38712	295	9	gofar	gofar	PROPN
esrj-38712	295	10	,	,	PUNCT
esrj-38712	295	11	n.	n.	NOUN
esrj-38712	295	12	,	,	PUNCT
esrj-38712	295	13	maizir	maizir	PROPN
esrj-38712	295	14	,	,	PUNCT
esrj-38712	295	15	h.	h.	PROPN
esrj-38712	295	16	(	(	PUNCT
esrj-38712	295	17	2013	2013	NUM
esrj-38712	295	18	)	)	PUNCT
esrj-38712	295	19	.	.	PUNCT
esrj-38712	296	1	numerical	numerical	ADJ
esrj-38712	296	2	modelling	modelling	NOUN
esrj-38712	296	3	of	of	ADP
esrj-38712	296	4	skin	skin	NOUN
esrj-38712	296	5	resistance	resistance	NOUN
esrj-38712	296	6	distribution	distribution	NOUN
esrj-38712	296	7	with	with	ADP
esrj-38712	296	8	depth	depth	NOUN
esrj-38712	296	9	in	in	ADP
esrj-38712	296	10	driven	drive	VERB
esrj-38712	296	11	pile	pile	NOUN
esrj-38712	296	12	,	,	PUNCT
esrj-38712	296	13	electronic	electronic	ADJ
esrj-38712	296	14	journal	journal	NOUN
esrj-38712	296	15	of	of	ADP
esrj-38712	296	16	geotechnical	geotechnical	ADJ
esrj-38712	296	17	engineering	engineering	NOUN
esrj-38712	296	18	(	(	PUNCT
esrj-38712	296	19	ejge	ejge	PROPN
esrj-38712	296	20	)	)	PUNCT
esrj-38712	296	21	,	,	PUNCT
esrj-38712	296	22	18	18	NUM
esrj-38712	296	23	(	(	PUNCT
esrj-38712	296	24	l	l	NOUN
esrj-38712	296	25	)	)	PUNCT
esrj-38712	296	26	2477	2477	NUM
esrj-38712	296	27	-	-	SYM
esrj-38712	296	28	2488	2488	NUM
esrj-38712	296	29	.	.	PUNCT
esrj-38712	297	1	pal	pal	NOUN
esrj-38712	297	2	,	,	PUNCT
esrj-38712	297	3	m.	m.	NOUN
esrj-38712	297	4	and	and	CCONJ
esrj-38712	297	5	deswal	deswal	NOUN
esrj-38712	297	6	,	,	PUNCT
esrj-38712	297	7	s.	s.	PROPN
esrj-38712	297	8	(	(	PUNCT
esrj-38712	297	9	2008	2008	NUM
esrj-38712	297	10	)	)	PUNCT
esrj-38712	297	11	.	.	PUNCT
esrj-38712	298	1	modeling	model	VERB
esrj-38712	298	2	pile	pile	NOUN
esrj-38712	298	3	capacity	capacity	NOUN
esrj-38712	298	4	using	use	VERB
esrj-38712	298	5	support	support	NOUN
esrj-38712	298	6	vector	vector	NOUN
esrj-38712	298	7	machines	machine	NOUN
esrj-38712	298	8	and	and	CCONJ
esrj-38712	298	9	generalized	generalized	ADJ
esrj-38712	298	10	regression	regression	NOUN
esrj-38712	298	11	neural	neural	ADJ
esrj-38712	298	12	network	network	NOUN
esrj-38712	298	13	,	,	PUNCT
esrj-38712	298	14	journal	journal	NOUN
esrj-38712	298	15	of	of	ADP
esrj-38712	298	16	geotechnical	geotechnical	ADJ
esrj-38712	298	17	and	and	CCONJ
esrj-38712	298	18	geoenvironmental	geoenvironmental	ADJ
esrj-38712	298	19	engineering	engineering	NOUN
esrj-38712	298	20	.	.	PUNCT
esrj-38712	299	1	134(7	134(7	NUM
esrj-38712	299	2	)	)	PUNCT
esrj-38712	299	3	,	,	PUNCT
esrj-38712	299	4	1021	1021	NUM
esrj-38712	299	5	-	-	SYM
esrj-38712	299	6	1024	1024	NUM
esrj-38712	299	7	.	.	PUNCT
esrj-38712	300	1	paola	paola	PROPN
esrj-38712	300	2	j.	j.	PROPN
esrj-38712	300	3	d.	d.	PROPN
esrj-38712	300	4	(	(	PUNCT
esrj-38712	300	5	1994	1994	NUM
esrj-38712	300	6	)	)	PUNCT
esrj-38712	300	7	.	.	PUNCT
esrj-38712	301	1	neural	neural	ADJ
esrj-38712	301	2	network	network	NOUN
esrj-38712	301	3	classification	classification	NOUN
esrj-38712	301	4	of	of	ADP
esrj-38712	301	5	multispectral	multispectral	ADJ
esrj-38712	301	6	imagery	imagery	NOUN
esrj-38712	301	7	.	.	PUNCT
esrj-38712	302	1	master	master	NOUN
esrj-38712	302	2	thesis	thesis	NOUN
esrj-38712	302	3	,	,	PUNCT
esrj-38712	302	4	the	the	DET
esrj-38712	302	5	university	university	PROPN
esrj-38712	302	6	of	of	ADP
esrj-38712	302	7	arizona	arizona	PROPN
esrj-38712	302	8	,	,	PUNCT
esrj-38712	302	9	usa	usa	PROPN
esrj-38712	302	10	.	.	PROPN
esrj-38712	302	11	randolph	randolph	PROPN
esrj-38712	302	12	,	,	PUNCT
esrj-38712	302	13	m.	m.	PROPN
esrj-38712	302	14	f.	f.	PROPN
esrj-38712	302	15	(	(	PUNCT
esrj-38712	302	16	2003	2003	NUM
esrj-38712	302	17	)	)	PUNCT
esrj-38712	302	18	.	.	PUNCT
esrj-38712	303	1	science	science	NOUN
esrj-38712	303	2	and	and	CCONJ
esrj-38712	303	3	empiricism	empiricism	NOUN
esrj-38712	303	4	in	in	ADP
esrj-38712	303	5	pile	pile	ADJ
esrj-38712	303	6	foundation	foundation	NOUN
esrj-38712	303	7	design	design	NOUN
esrj-38712	303	8	,	,	PUNCT
esrj-38712	303	9	43rd	43rd	PROPN
esrj-38712	303	10	rankine	rankine	PROPN
esrj-38712	303	11	lecture	lecture	NOUN
esrj-38712	303	12	,	,	PUNCT
esrj-38712	303	13	geotechnique	geotechnique	PROPN
esrj-38712	303	14	.	.	PUNCT
esrj-38712	303	15	54(1	54(1	NUM
esrj-38712	303	16	)	)	PUNCT
esrj-38712	303	17	.	.	PUNCT
esrj-38712	304	1	rausche	rausche	PROPN
esrj-38712	304	2	,	,	PUNCT
esrj-38712	304	3	f.	f.	PROPN
esrj-38712	304	4	,	,	PUNCT
esrj-38712	304	5	goble	goble	PROPN
esrj-38712	304	6	,	,	PUNCT
esrj-38712	304	7	g.	g.	PROPN
esrj-38712	304	8	g.	g.	PROPN
esrj-38712	304	9	and	and	CCONJ
esrj-38712	304	10	likins	likin	NOUN
esrj-38712	304	11	,	,	PUNCT
esrj-38712	304	12	g.	g.	PROPN
esrj-38712	304	13	e.	e.	PROPN
esrj-38712	304	14	(	(	PUNCT
esrj-38712	304	15	1985	1985	NUM
esrj-38712	304	16	)	)	PUNCT
esrj-38712	304	17	.	.	PUNCT
esrj-38712	305	1	dynamic	dynamic	ADJ
esrj-38712	305	2	determination	determination	NOUN
esrj-38712	305	3	of	of	ADP
esrj-38712	305	4	pile	pile	ADJ
esrj-38712	305	5	capacity	capacity	NOUN
esrj-38712	305	6	,	,	PUNCT
esrj-38712	305	7	journal	journal	NOUN
esrj-38712	305	8	of	of	ADP
esrj-38712	305	9	geotechnical	geotechnical	ADJ
esrj-38712	305	10	engineering	engineering	NOUN
esrj-38712	305	11	.	.	PUNCT
esrj-38712	306	1	111(3	111(3	NUM
esrj-38712	306	2	)	)	PUNCT
esrj-38712	306	3	,	,	PUNCT
esrj-38712	306	4	367–383	367–383	NUM
esrj-38712	306	5	.	.	PUNCT
esrj-38712	306	6	rausche	rausche	PROPN
esrj-38712	306	7	,	,	PUNCT
esrj-38712	306	8	f.	f.	PROPN
esrj-38712	306	9	,	,	PUNCT
esrj-38712	306	10	moses	moses	PROPN
esrj-38712	306	11	,	,	PUNCT
esrj-38712	306	12	f.	f.	PROPN
esrj-38712	306	13	and	and	CCONJ
esrj-38712	306	14	goblen	goblen	PROPN
esrj-38712	306	15	,	,	PUNCT
esrj-38712	306	16	g.	g.	PROPN
esrj-38712	306	17	g.	g.	PROPN
esrj-38712	306	18	(	(	PUNCT
esrj-38712	306	19	1972	1972	NUM
esrj-38712	306	20	)	)	PUNCT
esrj-38712	306	21	.	.	PUNCT
esrj-38712	307	1	soil	soil	NOUN
esrj-38712	307	2	resistance	resistance	NOUN
esrj-38712	307	3	predictions	prediction	NOUN
esrj-38712	307	4	from	from	ADP
esrj-38712	307	5	pile	pile	ADJ
esrj-38712	307	6	dynamics	dynamic	NOUN
esrj-38712	307	7	,	,	PUNCT
esrj-38712	307	8	journal	journal	NOUN
esrj-38712	307	9	of	of	ADP
esrj-38712	307	10	the	the	DET
esrj-38712	307	11	soil	soil	NOUN
esrj-38712	307	12	mechanics	mechanic	NOUN
esrj-38712	307	13	and	and	CCONJ
esrj-38712	307	14	foundation	foundation	NOUN
esrj-38712	307	15	division	division	NOUN
esrj-38712	307	16	asce	asce	NOUN
esrj-38712	307	17	.	.	PUNCT
esrj-38712	308	1	september	september	PROPN
esrj-38712	308	2	1972	1972	NUM
esrj-38712	308	3	.	.	PUNCT
esrj-38712	309	1	ripley	ripley	PROPN
esrj-38712	309	2	bd	bd	PROPN
esrj-38712	309	3	(	(	PUNCT
esrj-38712	309	4	1993	1993	NUM
esrj-38712	309	5	)	)	PUNCT
esrj-38712	309	6	statistical	statistical	ADJ
esrj-38712	309	7	aspects	aspect	NOUN
esrj-38712	309	8	of	of	ADP
esrj-38712	309	9	neural	neural	ADJ
esrj-38712	309	10	networks	network	NOUN
esrj-38712	309	11	.	.	PUNCT
esrj-38712	310	1	in	in	ADP
esrj-38712	310	2	:	:	PUNCT
esrj-38712	310	3	barndoffneilsen	barndoffneilsen	PROPN
esrj-38712	310	4	oe	oe	PROPN
esrj-38712	310	5	,	,	PUNCT
esrj-38712	310	6	jensen	jensen	PROPN
esrj-38712	310	7	jl	jl	PROPN
esrj-38712	310	8	,	,	PUNCT
esrj-38712	310	9	kendall	kendall	PROPN
esrj-38712	310	10	ws	ws	PROPN
esrj-38712	310	11	,	,	PUNCT
esrj-38712	310	12	editors	editor	NOUN
esrj-38712	310	13	.	.	PUNCT
esrj-38712	311	1	networks	network	NOUN
esrj-38712	311	2	and	and	CCONJ
esrj-38712	311	3	chaos	chaos	NOUN
esrj-38712	311	4	-	-	PUNCT
esrj-38712	311	5	statistical	statistical	ADJ
esrj-38712	311	6	and	and	CCONJ
esrj-38712	311	7	probabilistic	probabilistic	ADJ
esrj-38712	311	8	aspects	aspect	NOUN
esrj-38712	311	9	.	.	PUNCT
esrj-38712	312	1	london	london	PROPN
esrj-38712	312	2	:	:	PUNCT
esrj-38712	312	3	chapman	chapman	PROPN
esrj-38712	312	4	&	&	CCONJ
esrj-38712	312	5	hall	hall	PROPN
esrj-38712	312	6	,	,	PUNCT
esrj-38712	312	7	pp	pp	ADV
esrj-38712	312	8	40	40	NUM
esrj-38712	312	9	-	-	SYM
esrj-38712	312	10	123	123	NUM
esrj-38712	312	11	.	.	PUNCT
esrj-38712	313	1	ripley	ripley	PROPN
esrj-38712	313	2	,	,	PUNCT
esrj-38712	313	3	b.	b.	PROPN
esrj-38712	313	4	d.	d.	PROPN
esrj-38712	313	5	(	(	PUNCT
esrj-38712	313	6	1996	1996	NUM
esrj-38712	313	7	)	)	PUNCT
esrj-38712	313	8	.	.	PUNCT
esrj-38712	314	1	pattern	pattern	NOUN
esrj-38712	314	2	recognition	recognition	NOUN
esrj-38712	314	3	and	and	CCONJ
esrj-38712	314	4	neural	neural	ADJ
esrj-38712	314	5	networks	network	NOUN
esrj-38712	314	6	,	,	PUNCT
esrj-38712	314	7	cambridge	cambridge	PROPN
esrj-38712	314	8	university	university	PROPN
esrj-38712	314	9	press	press	NOUN
esrj-38712	314	10	.	.	PUNCT
esrj-38712	315	1	salgado	salgado	PROPN
esrj-38712	315	2	,	,	PUNCT
esrj-38712	315	3	r.	r.	PROPN
esrj-38712	315	4	(	(	PUNCT
esrj-38712	315	5	2008	2008	NUM
esrj-38712	315	6	)	)	PUNCT
esrj-38712	315	7	.	.	PUNCT
esrj-38712	316	1	the	the	DET
esrj-38712	316	2	engineering	engineering	NOUN
esrj-38712	316	3	of	of	ADP
esrj-38712	316	4	foundations	foundation	NOUN
esrj-38712	316	5	,	,	PUNCT
esrj-38712	316	6	mcgraw	mcgraw	PROPN
esrj-38712	316	7	hill	hill	PROPN
esrj-38712	316	8	book	book	PROPN
esrj-38712	316	9	,	,	PUNCT
esrj-38712	316	10	usa	usa	PROPN
esrj-38712	316	11	.	.	PROPN
esrj-38712	316	12	shahin	shahin	PROPN
esrj-38712	316	13	,	,	PUNCT
esrj-38712	316	14	m.	m.	NOUN
esrj-38712	316	15	a.	a.	NOUN
esrj-38712	316	16	(	(	PUNCT
esrj-38712	316	17	2010	2010	NUM
esrj-38712	316	18	)	)	PUNCT
esrj-38712	316	19	.	.	PUNCT
esrj-38712	317	1	intelligent	intelligent	ADJ
esrj-38712	317	2	computing	computing	NOUN
esrj-38712	317	3	for	for	ADP
esrj-38712	317	4	modelling	model	VERB
esrj-38712	317	5	axial	axial	ADJ
esrj-38712	317	6	capacity	capacity	NOUN
esrj-38712	317	7	of	of	ADP
esrj-38712	317	8	pile	pile	ADJ
esrj-38712	317	9	foundations	foundation	NOUN
esrj-38712	317	10	,	,	PUNCT
esrj-38712	317	11	canadian	canadian	ADJ
esrj-38712	317	12	geotechnical	geotechnical	ADJ
esrj-38712	317	13	journal	journal	NOUN
esrj-38712	317	14	.	.	PUNCT
esrj-38712	318	1	47(2	47(2	PROPN
esrj-38712	318	2	)	)	PUNCT
esrj-38712	318	3	,	,	PUNCT
esrj-38712	318	4	230	230	NUM
esrj-38712	318	5	-	-	SYM
esrj-38712	318	6	243	243	NUM
esrj-38712	318	7	.	.	PUNCT
esrj-38712	319	1	shahin	shahin	PROPN
esrj-38712	319	2	,	,	PUNCT
esrj-38712	319	3	m.	m.	NOUN
esrj-38712	319	4	a.	a.	NOUN
esrj-38712	319	5	(	(	PUNCT
esrj-38712	319	6	2008	2008	NUM
esrj-38712	319	7	)	)	PUNCT
esrj-38712	319	8	.	.	PUNCT
esrj-38712	320	1	modelling	model	VERB
esrj-38712	320	2	axial	axial	ADJ
esrj-38712	320	3	capacity	capacity	NOUN
esrj-38712	320	4	of	of	ADP
esrj-38712	320	5	pile	pile	ADJ
esrj-38712	320	6	foundations	foundation	NOUN
esrj-38712	320	7	by	by	ADP
esrj-38712	320	8	intelligent	intelligent	ADJ
esrj-38712	320	9	computing	computing	NOUN
esrj-38712	320	10	,	,	PUNCT
esrj-38712	320	11	proceedings	proceeding	NOUN
esrj-38712	320	12	of	of	ADP
esrj-38712	320	13	the	the	DET
esrj-38712	320	14	bga	bga	PROPN
esrj-38712	320	15	international	international	PROPN
esrj-38712	320	16	conference	conference	PROPN
esrj-38712	320	17	on	on	ADP
esrj-38712	320	18	foundations	foundation	NOUN
esrj-38712	320	19	,	,	PUNCT
esrj-38712	320	20	dundee	dundee	PROPN
esrj-38712	320	21	,	,	PUNCT
esrj-38712	320	22	scotland	scotland	PROPN
esrj-38712	320	23	,	,	PUNCT
esrj-38712	320	24	his	his	PRON
esrj-38712	320	25	bre	bre	PROPN
esrj-38712	320	26	press	press	NOUN
esrj-38712	320	27	,	,	PUNCT
esrj-38712	320	28	isbn	isbn	ADJ
esrj-38712	320	29	978	978	NUM
esrj-38712	320	30	-	-	SYM
esrj-38712	320	31	1	1	NUM
esrj-38712	320	32	-	-	PUNCT
esrj-38712	320	33	84806	84806	NUM
esrj-38712	320	34	-	-	PUNCT
esrj-38712	320	35	044	044	NUM
esrj-38712	320	36	-	-	PUNCT
esrj-38712	320	37	9	9	NUM
esrj-38712	320	38	,	,	PUNCT
esrj-38712	320	39	283	283	NUM
esrj-38712	320	40	-	-	SYM
esrj-38712	320	41	294	294	NUM
esrj-38712	320	42	.	.	PUNCT
esrj-38712	321	1	shahin	shahin	PROPN
esrj-38712	321	2	,	,	PUNCT
esrj-38712	321	3	m.	m.	NOUN
esrj-38712	321	4	a.	a.	PROPN
esrj-38712	321	5	,	,	PUNCT
esrj-38712	321	6	jaksa	jaksa	NOUN
esrj-38712	321	7	,	,	PUNCT
esrj-38712	321	8	m.	m.	PROPN
esrj-38712	321	9	b.	b.	PROPN
esrj-38712	321	10	and	and	CCONJ
esrj-38712	321	11	maier	maier	PROPN
esrj-38712	321	12	,	,	PUNCT
esrj-38712	321	13	h.	h.	PROPN
esrj-38712	321	14	r.	r.	PROPN
esrj-38712	321	15	(	(	PUNCT
esrj-38712	321	16	2001	2001	NUM
esrj-38712	321	17	)	)	PUNCT
esrj-38712	321	18	.	.	PUNCT
esrj-38712	322	1	artificial	artificial	ADJ
esrj-38712	322	2	neural	neural	ADJ
esrj-38712	322	3	network	network	NOUN
esrj-38712	322	4	applications	application	NOUN
esrj-38712	322	5	in	in	ADP
esrj-38712	322	6	geotechnical	geotechnical	ADJ
esrj-38712	322	7	engineering	engineering	NOUN
esrj-38712	322	8	,	,	PUNCT
esrj-38712	322	9	australian	australian	ADJ
esrj-38712	322	10	geomechanics	geomechanic	NOUN
esrj-38712	322	11	journal	journal	NOUN
esrj-38712	322	12	.	.	PUNCT
esrj-38712	323	1	36(1	36(1	NUM
esrj-38712	323	2	)	)	PUNCT
esrj-38712	323	3	,	,	PUNCT
esrj-38712	323	4	49	49	NUM
esrj-38712	323	5	-	-	SYM
esrj-38712	323	6	62	62	NUM
esrj-38712	323	7	.	.	PUNCT
esrj-38712	324	1	shahin	shahin	PROPN
esrj-38712	324	2	,	,	PUNCT
esrj-38712	324	3	m.	m.	NOUN
esrj-38712	324	4	a.	a.	PROPN
esrj-38712	324	5	,	,	PUNCT
esrj-38712	324	6	jaksa	jaksa	NOUN
esrj-38712	324	7	,	,	PUNCT
esrj-38712	324	8	m.	m.	PROPN
esrj-38712	324	9	b.	b.	PROPN
esrj-38712	324	10	,	,	PUNCT
esrj-38712	324	11	and	and	CCONJ
esrj-38712	324	12	maier	maier	PROPN
esrj-38712	324	13	,	,	PUNCT
esrj-38712	324	14	h.	h.	PROPN
esrj-38712	324	15	r.	r.	PROPN
esrj-38712	324	16	(	(	PUNCT
esrj-38712	324	17	2009	2009	NUM
esrj-38712	324	18	)	)	PUNCT
esrj-38712	324	19	.	.	PUNCT
esrj-38712	325	1	recent	recent	ADJ
esrj-38712	325	2	advances	advance	NOUN
esrj-38712	325	3	and	and	CCONJ
esrj-38712	325	4	future	future	ADJ
esrj-38712	325	5	challenges	challenge	NOUN
esrj-38712	325	6	for	for	ADP
esrj-38712	325	7	artificial	artificial	ADJ
esrj-38712	325	8	neural	neural	ADJ
esrj-38712	325	9	systems	system	NOUN
esrj-38712	325	10	in	in	ADP
esrj-38712	325	11	geotechnical	geotechnical	ADJ
esrj-38712	325	12	engineering	engineering	NOUN
esrj-38712	325	13	applications	application	NOUN
esrj-38712	325	14	,	,	PUNCT
esrj-38712	325	15	advances	advance	NOUN
esrj-38712	325	16	in	in	ADP
esrj-38712	325	17	artificial	artificial	ADJ
esrj-38712	325	18	neural	neural	ADJ
esrj-38712	325	19	systems	system	NOUN
esrj-38712	325	20	.	.	PUNCT
esrj-38712	326	1	doi:10.1155/2009/308239	doi:10.1155/2009/308239	NUM
esrj-38712	326	2	.	.	PUNCT
esrj-38712	326	3	simpson	simpson	PROPN
esrj-38712	326	4	,	,	PUNCT
esrj-38712	326	5	p.	p.	PROPN
esrj-38712	326	6	k.	k.	PROPN
esrj-38712	327	1	(	(	PUNCT
esrj-38712	327	2	1990	1990	NUM
esrj-38712	327	3	)	)	PUNCT
esrj-38712	327	4	.	.	PUNCT
esrj-38712	328	1	artificial	artificial	ADJ
esrj-38712	328	2	neural	neural	ADJ
esrj-38712	328	3	system	system	NOUN
esrj-38712	328	4	:	:	PUNCT
esrj-38712	328	5	foundation	foundation	NOUN
esrj-38712	328	6	,	,	PUNCT
esrj-38712	328	7	paradigms	paradigm	NOUN
esrj-38712	328	8	,	,	PUNCT
esrj-38712	328	9	applications	application	NOUN
esrj-38712	328	10	and	and	CCONJ
esrj-38712	328	11	implementations	implementation	NOUN
esrj-38712	328	12	,	,	PUNCT
esrj-38712	328	13	new	new	PROPN
esrj-38712	328	14	york	york	PROPN
esrj-38712	328	15	,	,	PUNCT
esrj-38712	328	16	pergamon	pergamon	PROPN
esrj-38712	328	17	.	.	PUNCT
esrj-38712	329	1	singh	singh	PROPN
esrj-38712	329	2	,	,	PUNCT
esrj-38712	329	3	t.	t.	PROPN
esrj-38712	329	4	n.	n.	PROPN
esrj-38712	329	5	,	,	PUNCT
esrj-38712	329	6	kanchan	kanchan	PROPN
esrj-38712	329	7	,	,	PUNCT
esrj-38712	329	8	r.	r.	PROPN
esrj-38712	329	9	,	,	PUNCT
esrj-38712	329	10	saigal	saigal	PROPN
esrj-38712	329	11	,	,	PUNCT
esrj-38712	329	12	k.	k.	PROPN
esrj-38712	329	13	and	and	CCONJ
esrj-38712	329	14	verma	verma	PROPN
esrj-38712	329	15	,	,	PUNCT
esrj-38712	329	16	a.	a.	PROPN
esrj-38712	329	17	k.	k.	PROPN
esrj-38712	329	18	(	(	PUNCT
esrj-38712	329	19	2004	2004	NUM
esrj-38712	329	20	)	)	PUNCT
esrj-38712	329	21	.	.	PUNCT
esrj-38712	330	1	prediction	prediction	NOUN
esrj-38712	330	2	of	of	ADP
esrj-38712	330	3	p	p	NOUN
esrj-38712	330	4	-	-	PUNCT
esrj-38712	330	5	wave	wave	NOUN
esrj-38712	330	6	velocity	velocity	NOUN
esrj-38712	330	7	and	and	CCONJ
esrj-38712	330	8	anisotropic	anisotropic	NOUN
esrj-38712	330	9	properties	property	NOUN
esrj-38712	330	10	of	of	ADP
esrj-38712	330	11	rock	rock	NOUN
esrj-38712	330	12	using	use	VERB
esrj-38712	330	13	artificial	artificial	ADJ
esrj-38712	330	14	neural	neural	ADJ
esrj-38712	330	15	networks	network	NOUN
esrj-38712	330	16	technique	technique	NOUN
esrj-38712	330	17	,	,	PUNCT
esrj-38712	330	18	journal	journal	NOUN
esrj-38712	330	19	of	of	ADP
esrj-38712	330	20	scientific	scientific	ADJ
esrj-38712	330	21	and	and	CCONJ
esrj-38712	330	22	industrial	industrial	ADJ
esrj-38712	330	23	research	research	NOUN
esrj-38712	330	24	.	.	PUNCT
esrj-38712	331	1	63	63	NUM
esrj-38712	331	2	,	,	PUNCT
esrj-38712	331	3	32	32	NUM
esrj-38712	331	4	-	-	SYM
esrj-38712	331	5	38	38	NUM
esrj-38712	331	6	.	.	PUNCT
esrj-38712	332	1	smith	smith	PROPN
esrj-38712	332	2	e.	e.	PROPN
esrj-38712	332	3	a.	a.	PROPN
esrj-38712	332	4	l.	l.	PROPN
esrj-38712	332	5	(	(	PUNCT
esrj-38712	332	6	1960	1960	NUM
esrj-38712	332	7	)	)	PUNCT
esrj-38712	332	8	.	.	PUNCT
esrj-38712	333	1	pile	pile	NOUN
esrj-38712	333	2	-	-	PUNCT
esrj-38712	333	3	driving	drive	VERB
esrj-38712	333	4	analysis	analysis	NOUN
esrj-38712	333	5	by	by	ADP
esrj-38712	333	6	the	the	DET
esrj-38712	333	7	wave	wave	NOUN
esrj-38712	333	8	equation	equation	NOUN
esrj-38712	333	9	,	,	PUNCT
esrj-38712	333	10	journal	journal	NOUN
esrj-38712	333	11	of	of	ADP
esrj-38712	333	12	soil	soil	NOUN
esrj-38712	333	13	mechanic	mechanic	NOUN
esrj-38712	333	14	and	and	CCONJ
esrj-38712	333	15	foundation	foundation	NOUN
esrj-38712	333	16	division	division	NOUN
esrj-38712	333	17	asce	asce	NOUN
esrj-38712	333	18	.	.	PUNCT
esrj-38712	334	1	div	div	PROPN
esrj-38712	334	2	,	,	PUNCT
esrj-38712	334	3	86	86	NUM
esrj-38712	334	4	(	(	PUNCT
esrj-38712	334	5	em	em	PRON
esrj-38712	334	6	4):35	4):35	PROPN
esrj-38712	334	7	-	-	SYM
esrj-38712	334	8	61	61	NUM
esrj-38712	334	9	.	.	PUNCT
esrj-38712	334	10	susilo	susilo	PROPN
esrj-38712	334	11	,	,	PUNCT
esrj-38712	334	12	s.	s.	PROPN
esrj-38712	334	13	(	(	PUNCT
esrj-38712	334	14	2006	2006	NUM
esrj-38712	334	15	)	)	PUNCT
esrj-38712	334	16	.	.	PUNCT
esrj-38712	335	1	distribusi	distribusi	PROPN
esrj-38712	335	2	gesekan	gesekan	PROPN
esrj-38712	335	3	tanah	tanah	PROPN
esrj-38712	335	4	pada	pada	PROPN
esrj-38712	335	5	pondasi	pondasi	PROPN
esrj-38712	335	6	tiang	tiang	PROPN
esrj-38712	335	7	bor	bor	PROPN
esrj-38712	335	8	dalam	dalam	PROPN
esrj-38712	335	9	.	.	PUNCT
esrj-38712	336	1	pertemuan	pertemuan	PROPN
esrj-38712	336	2	llmiah	llmiah	PROPN
esrj-38712	336	3	tahunan	tahunan	PROPN
esrj-38712	336	4	-	-	PUNCT
esrj-38712	336	5	x	x	VERB
esrj-38712	336	6	hatti	hatti	NOUN
esrj-38712	336	7	,	,	PUNCT
esrj-38712	336	8	jakarta	jakarta	PROPN
esrj-38712	336	9	.	.	PUNCT
esrj-38712	337	1	107–119	107–119	NUM
esrj-38712	337	2	teh	teh	NOUN
esrj-38712	337	3	,	,	PUNCT
esrj-38712	337	4	c.	c.	PROPN
esrj-38712	337	5	i.	i.	PROPN
esrj-38712	337	6	,	,	PUNCT
esrj-38712	337	7	wong	wong	PROPN
esrj-38712	337	8	,	,	PUNCT
esrj-38712	337	9	k.	k.	PROPN
esrj-38712	337	10	s.	s.	PROPN
esrj-38712	337	11	,	,	PUNCT
esrj-38712	337	12	goh	goh	PROPN
esrj-38712	337	13	,	,	PUNCT
esrj-38712	337	14	a.	a.	PROPN
esrj-38712	337	15	t.	t.	PROPN
esrj-38712	337	16	c.	c.	PROPN
esrj-38712	337	17	and	and	CCONJ
esrj-38712	337	18	jaritngam	jaritngam	PROPN
esrj-38712	337	19	,	,	PUNCT
esrj-38712	337	20	s.	s.	PROPN
esrj-38712	337	21	(	(	PUNCT
esrj-38712	337	22	1997	1997	NUM
esrj-38712	337	23	)	)	PUNCT
esrj-38712	337	24	.	.	PUNCT
esrj-38712	338	1	prediction	prediction	NOUN
esrj-38712	338	2	of	of	ADP
esrj-38712	338	3	pile	pile	ADJ
esrj-38712	338	4	capacity	capacity	NOUN
esrj-38712	338	5	using	use	VERB
esrj-38712	338	6	neural	neural	ADJ
esrj-38712	338	7	networks	network	NOUN
esrj-38712	338	8	,	,	PUNCT
esrj-38712	338	9	journal	journal	NOUN
esrj-38712	338	10	of	of	ADP
esrj-38712	338	11	computing	computing	NOUN
esrj-38712	338	12	in	in	ADP
esrj-38712	338	13	civil	civil	ADJ
esrj-38712	338	14	engineering	engineering	NOUN
esrj-38712	338	15	.	.	PUNCT
esrj-38712	339	1	11(2	11(2	X
esrj-38712	339	2	)	)	PUNCT
esrj-38712	339	3	,	,	PUNCT
esrj-38712	339	4	129	129	NUM
esrj-38712	339	5	-	-	SYM
esrj-38712	339	6	138	138	NUM
esrj-38712	339	7	.	.	PUNCT
esrj-38712	340	1	timoshenko	timoshenko	NOUN
esrj-38712	340	2	,	,	PUNCT
esrj-38712	340	3	s.	s.	PROPN
esrj-38712	340	4	and	and	CCONJ
esrj-38712	340	5	goodier	goodier	NOUN
esrj-38712	340	6	,	,	PUNCT
esrj-38712	340	7	j.	j.	PROPN
esrj-38712	340	8	m.	m.	PROPN
esrj-38712	340	9	(	(	PUNCT
esrj-38712	340	10	1951	1951	NUM
esrj-38712	340	11	)	)	PUNCT
esrj-38712	340	12	.	.	PUNCT
esrj-38712	341	1	theory	theory	NOUN
esrj-38712	341	2	of	of	ADP
esrj-38712	341	3	elasticity	elasticity	NOUN
esrj-38712	341	4	,	,	PUNCT
esrj-38712	341	5	(	(	PUNCT
esrj-38712	341	6	2nd	2nd	ADJ
esrj-38712	341	7	ed	ed	NOUN
esrj-38712	341	8	)	)	PUNCT
esrj-38712	341	9	,	,	PUNCT
esrj-38712	341	10	mcgraw	mcgraw	PROPN
esrj-38712	341	11	-	-	PUNCT
esrj-38712	341	12	hill	hill	NOUN
esrj-38712	341	13	book	book	NOUN
esrj-38712	341	14	co.p.438	co.p.438	PROPN
esrj-38712	341	15	.	.	PROPN
esrj-38712	341	16	usa	usa	PROPN
esrj-38712	341	17	.	.	PROPN
esrj-38712	341	18	vesic	vesic	PROPN
esrj-38712	341	19	,	,	PUNCT
esrj-38712	341	20	a.	a.	PROPN
esrj-38712	341	21	s.	s.	PROPN
esrj-38712	341	22	(	(	PUNCT
esrj-38712	341	23	1977	1977	NUM
esrj-38712	341	24	)	)	PUNCT
esrj-38712	341	25	.	.	PUNCT
esrj-38712	342	1	design	design	NOUN
esrj-38712	342	2	of	of	ADP
esrj-38712	342	3	pile	pile	ADJ
esrj-38712	342	4	foundation	foundation	NOUN
esrj-38712	342	5	,	,	PUNCT
esrj-38712	342	6	national	national	PROPN
esrj-38712	342	7	cooperative	cooperative	ADJ
esrj-38712	342	8	highway	highway	NOUN
esrj-38712	342	9	research	research	NOUN
esrj-38712	342	10	program	program	NOUN
esrj-38712	342	11	synthesis	synthesis	NOUN
esrj-38712	342	12	of	of	ADP
esrj-38712	342	13	practice	practice	NOUN
esrj-38712	342	14	no.42	no.42	NOUN
esrj-38712	342	15	,	,	PUNCT
esrj-38712	342	16	transportation	transportation	NOUN
esrj-38712	342	17	research	research	NOUN
esrj-38712	342	18	board	board	PROPN
esrj-38712	342	19	,	,	PUNCT
esrj-38712	342	20	washington	washington	PROPN
esrj-38712	342	21	,	,	PUNCT
esrj-38712	342	22	dc	dc	PROPN
esrj-38712	342	23	.	.	PUNCT
esrj-38712	342	24	wang	wang	PROPN
esrj-38712	342	25	,	,	PUNCT
esrj-38712	342	26	c.	c.	PROPN
esrj-38712	342	27	(	(	PUNCT
esrj-38712	342	28	1994	1994	NUM
esrj-38712	342	29	)	)	PUNCT
esrj-38712	342	30	.	.	PUNCT
esrj-38712	343	1	a	a	DET
esrj-38712	343	2	theory	theory	NOUN
esrj-38712	343	3	of	of	ADP
esrj-38712	343	4	generalization	generalization	NOUN
esrj-38712	343	5	in	in	ADP
esrj-38712	343	6	learning	learn	VERB
esrj-38712	343	7	machines	machine	NOUN
esrj-38712	343	8	with	with	ADP
esrj-38712	343	9	neural	neural	ADJ
esrj-38712	343	10	application	application	NOUN
esrj-38712	343	11	.	.	PUNCT
esrj-38712	344	1	phd	phd	NOUN
esrj-38712	344	2	thesis	thesis	PROPN
esrj-38712	344	3	,	,	PUNCT
esrj-38712	344	4	the	the	DET
esrj-38712	344	5	university	university	PROPN
esrj-38712	344	6	of	of	ADP
esrj-38712	344	7	pennsylvania	pennsylvania	PROPN
esrj-38712	344	8	,	,	PUNCT
esrj-38712	344	9	usa	usa	PROPN
esrj-38712	344	10	.	.	PROPN
esrj-38712	344	11	yang	yang	PROPN
esrj-38712	344	12	,	,	PUNCT
esrj-38712	344	13	y.	y.	PROPN
esrj-38712	344	14	and	and	CCONJ
esrj-38712	344	15	zang	zang	PROPN
esrj-38712	344	16	,	,	PUNCT
esrj-38712	344	17	o.	o.	PROPN
esrj-38712	344	18	(	(	PUNCT
esrj-38712	344	19	1997	1997	NUM
esrj-38712	344	20	)	)	PUNCT
esrj-38712	344	21	.	.	PUNCT
esrj-38712	345	1	a	a	DET
esrj-38712	345	2	hierarchical	hierarchical	ADJ
esrj-38712	345	3	analysis	analysis	NOUN
esrj-38712	345	4	for	for	ADP
esrj-38712	345	5	rock	rock	NOUN
esrj-38712	345	6	engineering	engineering	NOUN
esrj-38712	345	7	using	use	VERB
esrj-38712	345	8	artificial	artificial	ADJ
esrj-38712	345	9	neural	neural	ADJ
esrj-38712	345	10	networks	network	NOUN
esrj-38712	345	11	,	,	PUNCT
esrj-38712	345	12	rock	rock	NOUN
esrj-38712	345	13	mechanics	mechanic	NOUN
esrj-38712	345	14	and	and	CCONJ
esrj-38712	345	15	rock	rock	NOUN
esrj-38712	345	16	engineering	engineering	NOUN
esrj-38712	345	17	.	.	PUNCT
esrj-38712	346	1	30	30	NUM
esrj-38712	346	2	,	,	PUNCT
esrj-38712	346	3	207–222	207–222	NUM
esrj-38712	346	4	.	.	PUNCT
esrj-38712	347	1	zurada	zurada	PROPN
esrj-38712	347	2	,	,	PUNCT
esrj-38712	347	3	j.	j.	PROPN
esrj-38712	347	4	m.	m.	PROPN
esrj-38712	347	5	(	(	PUNCT
esrj-38712	347	6	1992	1992	NUM
esrj-38712	347	7	)	)	PUNCT
esrj-38712	347	8	.	.	PUNCT
esrj-38712	348	1	introduction	introduction	NOUN
esrj-38712	348	2	to	to	ADP
esrj-38712	348	3	artificial	artificial	ADJ
esrj-38712	348	4	neural	neural	ADJ
esrj-38712	348	5	systems	system	NOUN
esrj-38712	348	6	,	,	PUNCT
esrj-38712	348	7	west	west	PROPN
esrj-38712	348	8	publishing	publishing	PROPN
esrj-38712	348	9	company	company	NOUN
esrj-38712	348	10	,	,	PUNCT
esrj-38712	348	11	st	st	PROPN
esrj-38712	348	12	.	.	PROPN
esrj-38712	348	13	paul	paul	PROPN
esrj-38712	348	14	.	.	PUNCT