id	sid	tid	token	lemma	pos
ajst-30170	1	1	academic	academic	ADJ
ajst-30170	1	2	journal	journal	NOUN
ajst-30170	1	3	of	of	ADP
ajst-30170	1	4	science	science	NOUN
ajst-30170	1	5	and	and	CCONJ
ajst-30170	1	6	technology	technology	NOUN
ajst-30170	1	7	issn	issn	NOUN
ajst-30170	1	8	:	:	PUNCT
ajst-30170	1	9	2771	2771	NUM
ajst-30170	1	10	-	-	SYM
ajst-30170	1	11	3032	3032	NUM
ajst-30170	1	12	|	|	NOUN
ajst-30170	1	13	vol	vol	NOUN
ajst-30170	1	14	.	.	PUNCT
ajst-30170	2	1	14	14	NUM
ajst-30170	2	2	,	,	PUNCT
ajst-30170	2	3	no	no	INTJ
ajst-30170	2	4	.	.	NOUN
ajst-30170	2	5	3	3	NUM
ajst-30170	2	6	,	,	PUNCT
ajst-30170	2	7	2025	2025	NUM
ajst-30170	2	8	30	30	NUM
ajst-30170	2	9	application	application	NOUN
ajst-30170	2	10	and	and	CCONJ
ajst-30170	2	11	prospect	prospect	NOUN
ajst-30170	2	12	of	of	ADP
ajst-30170	2	13	machine	machine	NOUN
ajst-30170	2	14	learning	learn	VERB
ajst-30170	2	15	in	in	ADP
ajst-30170	2	16	predicting	predict	VERB
ajst-30170	2	17	the	the	DET
ajst-30170	2	18	performance	performance	NOUN
ajst-30170	2	19	of	of	ADP
ajst-30170	2	20	grouted	grouted	ADJ
ajst-30170	2	21	sleeve	sleeve	NOUN
ajst-30170	2	22	connections	connection	NOUN
ajst-30170	2	23	jiaqing	jiaqe	VERB
ajst-30170	2	24	zong	zong	PROPN
ajst-30170	2	25	and	and	CCONJ
ajst-30170	2	26	liwei	liwei	ADJ
ajst-30170	2	27	wu	wu	PROPN
ajst-30170	2	28	school	school	NOUN
ajst-30170	2	29	of	of	ADP
ajst-30170	2	30	civil	civil	ADJ
ajst-30170	2	31	engineering	engineering	NOUN
ajst-30170	2	32	and	and	CCONJ
ajst-30170	2	33	architecture	architecture	NOUN
ajst-30170	2	34	,	,	PUNCT
ajst-30170	2	35	north	north	PROPN
ajst-30170	2	36	china	china	PROPN
ajst-30170	2	37	university	university	PROPN
ajst-30170	2	38	of	of	ADP
ajst-30170	2	39	science	science	NOUN
ajst-30170	2	40	and	and	CCONJ
ajst-30170	2	41	technology	technology	NOUN
ajst-30170	2	42	,	,	PUNCT
ajst-30170	2	43	tangshan	tangshan	PROPN
ajst-30170	2	44	063210	063210	NUM
ajst-30170	2	45	,	,	PUNCT
ajst-30170	2	46	hebei	hebei	PROPN
ajst-30170	2	47	,	,	PUNCT
ajst-30170	2	48	china	china	PROPN
ajst-30170	2	49	abstract	abstract	NOUN
ajst-30170	2	50	:	:	PUNCT
ajst-30170	2	51	as	as	ADP
ajst-30170	2	52	a	a	DET
ajst-30170	2	53	key	key	ADJ
ajst-30170	2	54	connecting	connect	VERB
ajst-30170	2	55	component	component	NOUN
ajst-30170	2	56	in	in	ADP
ajst-30170	2	57	prefabricated	prefabricate	VERB
ajst-30170	2	58	buildings	building	NOUN
ajst-30170	2	59	,	,	PUNCT
ajst-30170	2	60	the	the	DET
ajst-30170	2	61	mechanical	mechanical	ADJ
ajst-30170	2	62	properties	property	NOUN
ajst-30170	2	63	of	of	ADP
ajst-30170	2	64	steel	steel	NOUN
ajst-30170	2	65	pipe	pipe	NOUN
ajst-30170	2	66	grouted	grout	VERB
ajst-30170	2	67	sleeves	sleeve	NOUN
ajst-30170	2	68	,	,	PUNCT
ajst-30170	2	69	such	such	ADJ
ajst-30170	2	70	as	as	ADP
ajst-30170	2	71	tensile	tensile	NOUN
ajst-30170	2	72	and	and	CCONJ
ajst-30170	2	73	compressive	compressive	ADJ
ajst-30170	2	74	properties	property	NOUN
ajst-30170	2	75	,	,	PUNCT
ajst-30170	2	76	are	be	AUX
ajst-30170	2	77	directly	directly	ADV
ajst-30170	2	78	related	relate	VERB
ajst-30170	2	79	to	to	ADP
ajst-30170	2	80	the	the	DET
ajst-30170	2	81	safety	safety	NOUN
ajst-30170	2	82	and	and	CCONJ
ajst-30170	2	83	reliability	reliability	NOUN
ajst-30170	2	84	of	of	ADP
ajst-30170	2	85	the	the	DET
ajst-30170	2	86	overall	overall	ADJ
ajst-30170	2	87	structure	structure	NOUN
ajst-30170	2	88	.	.	PUNCT
ajst-30170	3	1	however	however	ADV
ajst-30170	3	2	,	,	PUNCT
ajst-30170	3	3	traditional	traditional	ADJ
ajst-30170	3	4	research	research	NOUN
ajst-30170	3	5	methods	method	NOUN
ajst-30170	3	6	rely	rely	VERB
ajst-30170	3	7	on	on	ADP
ajst-30170	3	8	physical	physical	ADJ
ajst-30170	3	9	tests	test	NOUN
ajst-30170	3	10	and	and	CCONJ
ajst-30170	3	11	theoretical	theoretical	ADJ
ajst-30170	3	12	models	model	NOUN
ajst-30170	3	13	,	,	PUNCT
ajst-30170	3	14	which	which	PRON
ajst-30170	3	15	have	have	VERB
ajst-30170	3	16	limitations	limitation	NOUN
ajst-30170	3	17	such	such	ADJ
ajst-30170	3	18	as	as	ADP
ajst-30170	3	19	long	long	ADJ
ajst-30170	3	20	test	test	NOUN
ajst-30170	3	21	cycles	cycle	NOUN
ajst-30170	3	22	,	,	PUNCT
ajst-30170	3	23	high	high	ADJ
ajst-30170	3	24	costs	cost	NOUN
ajst-30170	3	25	,	,	PUNCT
ajst-30170	3	26	and	and	CCONJ
ajst-30170	3	27	insufficient	insufficient	ADJ
ajst-30170	3	28	prediction	prediction	NOUN
ajst-30170	3	29	accuracy	accuracy	NOUN
ajst-30170	3	30	for	for	ADP
ajst-30170	3	31	nonlinear	nonlinear	ADJ
ajst-30170	3	32	mechanical	mechanical	ADJ
ajst-30170	3	33	behaviors	behavior	NOUN
ajst-30170	3	34	.	.	PUNCT
ajst-30170	4	1	it	it	PRON
ajst-30170	4	2	is	be	AUX
ajst-30170	4	3	difficult	difficult	ADJ
ajst-30170	4	4	to	to	PART
ajst-30170	4	5	efficiently	efficiently	ADV
ajst-30170	4	6	meet	meet	VERB
ajst-30170	4	7	the	the	DET
ajst-30170	4	8	performance	performance	NOUN
ajst-30170	4	9	evaluation	evaluation	NOUN
ajst-30170	4	10	requirements	requirement	NOUN
ajst-30170	4	11	under	under	ADP
ajst-30170	4	12	complex	complex	ADJ
ajst-30170	4	13	working	work	VERB
ajst-30170	4	14	conditions	condition	NOUN
ajst-30170	4	15	.	.	PUNCT
ajst-30170	5	1	in	in	ADP
ajst-30170	5	2	recent	recent	ADJ
ajst-30170	5	3	years	year	NOUN
ajst-30170	5	4	,	,	PUNCT
ajst-30170	5	5	machine	machine	NOUN
ajst-30170	5	6	learning	learning	NOUN
ajst-30170	5	7	technology	technology	NOUN
ajst-30170	5	8	has	have	AUX
ajst-30170	5	9	provided	provide	VERB
ajst-30170	5	10	an	an	DET
ajst-30170	5	11	innovative	innovative	ADJ
ajst-30170	5	12	solution	solution	NOUN
ajst-30170	5	13	for	for	ADP
ajst-30170	5	14	predicting	predict	VERB
ajst-30170	5	15	the	the	DET
ajst-30170	5	16	performance	performance	NOUN
ajst-30170	5	17	of	of	ADP
ajst-30170	5	18	grouted	grouted	ADJ
ajst-30170	5	19	sleeve	sleeve	NOUN
ajst-30170	5	20	connections	connection	NOUN
ajst-30170	5	21	.	.	PUNCT
ajst-30170	6	1	by	by	ADP
ajst-30170	6	2	mining	mine	VERB
ajst-30170	6	3	the	the	DET
ajst-30170	6	4	nonlinear	nonlinear	ADJ
ajst-30170	6	5	relationships	relationship	NOUN
ajst-30170	6	6	between	between	ADP
ajst-30170	6	7	parameters	parameter	NOUN
ajst-30170	6	8	through	through	ADP
ajst-30170	6	9	a	a	DET
ajst-30170	6	10	data	data	NOUN
ajst-30170	6	11	driven	drive	VERB
ajst-30170	6	12	model	model	NOUN
ajst-30170	6	13	,	,	PUNCT
ajst-30170	6	14	it	it	PRON
ajst-30170	6	15	significantly	significantly	ADV
ajst-30170	6	16	improves	improve	VERB
ajst-30170	6	17	the	the	DET
ajst-30170	6	18	prediction	prediction	NOUN
ajst-30170	6	19	efficiency	efficiency	NOUN
ajst-30170	6	20	and	and	CCONJ
ajst-30170	6	21	accuracy	accuracy	NOUN
ajst-30170	6	22	and	and	CCONJ
ajst-30170	6	23	effectively	effectively	ADV
ajst-30170	6	24	overcomes	overcome	VERB
ajst-30170	6	25	the	the	DET
ajst-30170	6	26	shortcomings	shortcoming	NOUN
ajst-30170	6	27	of	of	ADP
ajst-30170	6	28	traditional	traditional	ADJ
ajst-30170	6	29	methods	method	NOUN
ajst-30170	6	30	.	.	PUNCT
ajst-30170	7	1	research	research	NOUN
ajst-30170	7	2	shows	show	VERB
ajst-30170	7	3	that	that	SCONJ
ajst-30170	7	4	there	there	PRON
ajst-30170	7	5	are	be	VERB
ajst-30170	7	6	significant	significant	ADJ
ajst-30170	7	7	differences	difference	NOUN
ajst-30170	7	8	in	in	ADP
ajst-30170	7	9	the	the	DET
ajst-30170	7	10	prediction	prediction	NOUN
ajst-30170	7	11	accuracy	accuracy	NOUN
ajst-30170	7	12	of	of	ADP
ajst-30170	7	13	different	different	ADJ
ajst-30170	7	14	machine	machine	NOUN
ajst-30170	7	15	learning	learning	NOUN
ajst-30170	7	16	models	model	NOUN
ajst-30170	7	17	(	(	PUNCT
ajst-30170	7	18	such	such	ADJ
ajst-30170	7	19	as	as	ADP
ajst-30170	7	20	support	support	NOUN
ajst-30170	7	21	vector	vector	NOUN
ajst-30170	7	22	machines	machine	NOUN
ajst-30170	7	23	,	,	PUNCT
ajst-30170	7	24	logistic	logistic	ADJ
ajst-30170	7	25	regression	regression	NOUN
ajst-30170	7	26	,	,	PUNCT
ajst-30170	7	27	decision	decision	NOUN
ajst-30170	7	28	trees	tree	NOUN
ajst-30170	7	29	,	,	PUNCT
ajst-30170	7	30	etc	etc	X
ajst-30170	7	31	.	.	X
ajst-30170	7	32	)	)	PUNCT
ajst-30170	7	33	.	.	PUNCT
ajst-30170	8	1	among	among	ADP
ajst-30170	8	2	them	they	PRON
ajst-30170	8	3	,	,	PUNCT
ajst-30170	8	4	ensemble	ensemble	ADJ
ajst-30170	8	5	learning	learning	NOUN
ajst-30170	8	6	algorithms	algorithm	NOUN
ajst-30170	8	7	(	(	PUNCT
ajst-30170	8	8	such	such	ADJ
ajst-30170	8	9	as	as	ADP
ajst-30170	8	10	random	random	ADJ
ajst-30170	8	11	forests	forest	NOUN
ajst-30170	8	12	,	,	PUNCT
ajst-30170	8	13	gradient	gradient	NOUN
ajst-30170	8	14	boosting	boosting	NOUN
ajst-30170	8	15	,	,	PUNCT
ajst-30170	8	16	etc	etc	X
ajst-30170	8	17	.	.	X
ajst-30170	8	18	)	)	PUNCT
ajst-30170	8	19	,	,	PUNCT
ajst-30170	8	20	with	with	ADP
ajst-30170	8	21	their	their	PRON
ajst-30170	8	22	high	high	ADJ
ajst-30170	8	23	robustness	robustness	NOUN
ajst-30170	8	24	and	and	CCONJ
ajst-30170	8	25	generalization	generalization	NOUN
ajst-30170	8	26	ability	ability	NOUN
ajst-30170	8	27	,	,	PUNCT
ajst-30170	8	28	exhibit	exhibit	VERB
ajst-30170	8	29	better	well	ADJ
ajst-30170	8	30	prediction	prediction	NOUN
ajst-30170	8	31	performance	performance	NOUN
ajst-30170	8	32	and	and	CCONJ
ajst-30170	8	33	have	have	AUX
ajst-30170	8	34	become	become	VERB
ajst-30170	8	35	a	a	DET
ajst-30170	8	36	hot	hot	ADJ
ajst-30170	8	37	research	research	NOUN
ajst-30170	8	38	direction	direction	NOUN
ajst-30170	8	39	.	.	PUNCT
ajst-30170	9	1	however	however	ADV
ajst-30170	9	2	,	,	PUNCT
ajst-30170	9	3	the	the	DET
ajst-30170	9	4	application	application	NOUN
ajst-30170	9	5	of	of	ADP
ajst-30170	9	6	machine	machine	NOUN
ajst-30170	9	7	learning	learning	NOUN
ajst-30170	9	8	in	in	ADP
ajst-30170	9	9	the	the	DET
ajst-30170	9	10	field	field	NOUN
ajst-30170	9	11	of	of	ADP
ajst-30170	9	12	grouted	grouted	ADJ
ajst-30170	9	13	sleeves	sleeve	NOUN
ajst-30170	9	14	is	be	AUX
ajst-30170	9	15	still	still	ADV
ajst-30170	9	16	in	in	ADP
ajst-30170	9	17	the	the	DET
ajst-30170	9	18	development	development	NOUN
ajst-30170	9	19	stage	stage	NOUN
ajst-30170	9	20	.	.	PUNCT
ajst-30170	10	1	in	in	ADP
ajst-30170	10	2	the	the	DET
ajst-30170	10	3	future	future	NOUN
ajst-30170	10	4	,	,	PUNCT
ajst-30170	10	5	it	it	PRON
ajst-30170	10	6	is	be	AUX
ajst-30170	10	7	necessary	necessary	ADJ
ajst-30170	10	8	to	to	PART
ajst-30170	10	9	further	far	ADV
ajst-30170	10	10	optimize	optimize	VERB
ajst-30170	10	11	the	the	DET
ajst-30170	10	12	model	model	NOUN
ajst-30170	10	13	architecture	architecture	NOUN
ajst-30170	10	14	,	,	PUNCT
ajst-30170	10	15	expand	expand	VERB
ajst-30170	10	16	high	high	ADJ
ajst-30170	10	17	quality	quality	NOUN
ajst-30170	10	18	datasets	dataset	NOUN
ajst-30170	10	19	,	,	PUNCT
ajst-30170	10	20	and	and	CCONJ
ajst-30170	10	21	explore	explore	VERB
ajst-30170	10	22	more	more	ADV
ajst-30170	10	23	interpretable	interpretable	ADJ
ajst-30170	10	24	hybrid	hybrid	ADJ
ajst-30170	10	25	prediction	prediction	NOUN
ajst-30170	10	26	models	model	NOUN
ajst-30170	10	27	by	by	ADP
ajst-30170	10	28	combining	combine	VERB
ajst-30170	10	29	mechanical	mechanical	ADJ
ajst-30170	10	30	mechanisms	mechanism	NOUN
ajst-30170	10	31	to	to	PART
ajst-30170	10	32	promote	promote	VERB
ajst-30170	10	33	the	the	DET
ajst-30170	10	34	in	in	ADP
ajst-30170	10	35	depth	depth	NOUN
ajst-30170	10	36	transformation	transformation	NOUN
ajst-30170	10	37	of	of	ADP
ajst-30170	10	38	this	this	DET
ajst-30170	10	39	technology	technology	NOUN
ajst-30170	10	40	into	into	ADP
ajst-30170	10	41	engineering	engineering	NOUN
ajst-30170	10	42	practice	practice	NOUN
ajst-30170	10	43	.	.	PUNCT
ajst-30170	11	1	keywords	keyword	NOUN
ajst-30170	11	2	:	:	PUNCT
ajst-30170	11	3	steel	steel	NOUN
ajst-30170	11	4	pipe	pipe	NOUN
ajst-30170	11	5	grouted	grout	VERB
ajst-30170	11	6	sleeve	sleeve	NOUN
ajst-30170	11	7	,	,	PUNCT
ajst-30170	11	8	connection	connection	NOUN
ajst-30170	11	9	performance	performance	NOUN
ajst-30170	11	10	,	,	PUNCT
ajst-30170	11	11	machine	machine	NOUN
ajst-30170	11	12	learning	learning	NOUN
ajst-30170	11	13	,	,	PUNCT
ajst-30170	11	14	prediction	prediction	NOUN
ajst-30170	11	15	.	.	PUNCT
ajst-30170	12	1	1	1	X
ajst-30170	12	2	.	.	X
ajst-30170	12	3	introduction	introduction	NOUN
ajst-30170	12	4	with	with	ADP
ajst-30170	12	5	the	the	DET
ajst-30170	12	6	rapid	rapid	ADJ
ajst-30170	12	7	development	development	NOUN
ajst-30170	12	8	of	of	ADP
ajst-30170	12	9	prefabricated	prefabricate	VERB
ajst-30170	12	10	building	building	NOUN
ajst-30170	12	11	technology	technology	NOUN
ajst-30170	12	12	,	,	PUNCT
ajst-30170	12	13	the	the	DET
ajst-30170	12	14	grouted	grout	VERB
ajst-30170	12	15	steel	steel	NOUN
ajst-30170	12	16	tube	tube	NOUN
ajst-30170	12	17	sleeve	sleeve	NOUN
ajst-30170	12	18	,	,	PUNCT
ajst-30170	12	19	as	as	ADP
ajst-30170	12	20	the	the	DET
ajst-30170	12	21	core	core	NOUN
ajst-30170	12	22	technology	technology	NOUN
ajst-30170	12	23	for	for	ADP
ajst-30170	12	24	connecting	connect	VERB
ajst-30170	12	25	prefabricated	prefabricate	VERB
ajst-30170	12	26	components	component	NOUN
ajst-30170	12	27	,	,	PUNCT
ajst-30170	12	28	has	have	AUX
ajst-30170	12	29	become	become	VERB
ajst-30170	12	30	an	an	DET
ajst-30170	12	31	indispensable	indispensable	ADJ
ajst-30170	12	32	part	part	NOUN
ajst-30170	12	33	of	of	ADP
ajst-30170	12	34	modern	modern	ADJ
ajst-30170	12	35	industrial	industrial	ADJ
ajst-30170	12	36	building	building	NOUN
ajst-30170	12	37	systems	system	NOUN
ajst-30170	12	38	due	due	ADP
ajst-30170	12	39	to	to	ADP
ajst-30170	12	40	its	its	PRON
ajst-30170	12	41	high	high	ADJ
ajst-30170	12	42	load	load	NOUN
ajst-30170	12	43	bearing	bear	VERB
ajst-30170	12	44	capacity	capacity	NOUN
ajst-30170	12	45	,	,	PUNCT
ajst-30170	12	46	construction	construction	NOUN
ajst-30170	12	47	convenience	convenience	NOUN
ajst-30170	12	48	,	,	PUNCT
ajst-30170	12	49	and	and	CCONJ
ajst-30170	12	50	good	good	ADJ
ajst-30170	12	51	seismic	seismic	ADJ
ajst-30170	12	52	performance	performance	NOUN
ajst-30170	12	53	.	.	PUNCT
ajst-30170	13	1	it	it	PRON
ajst-30170	13	2	forms	form	VERB
ajst-30170	13	3	a	a	DET
ajst-30170	13	4	reliable	reliable	ADJ
ajst-30170	13	5	connection	connection	NOUN
ajst-30170	13	6	by	by	ADP
ajst-30170	13	7	filling	fill	VERB
ajst-30170	13	8	the	the	DET
ajst-30170	13	9	gap	gap	NOUN
ajst-30170	13	10	between	between	ADP
ajst-30170	13	11	the	the	DET
ajst-30170	13	12	sleeve	sleeve	NOUN
ajst-30170	13	13	and	and	CCONJ
ajst-30170	13	14	the	the	DET
ajst-30170	13	15	steel	steel	NOUN
ajst-30170	13	16	bar	bar	NOUN
ajst-30170	13	17	with	with	ADP
ajst-30170	13	18	grouting	grout	VERB
ajst-30170	13	19	material	material	NOUN
ajst-30170	13	20	,	,	PUNCT
ajst-30170	13	21	and	and	CCONJ
ajst-30170	13	22	its	its	PRON
ajst-30170	13	23	mechanical	mechanical	ADJ
ajst-30170	13	24	behavior	behavior	NOUN
ajst-30170	13	25	under	under	ADP
ajst-30170	13	26	tensile	tensile	NOUN
ajst-30170	13	27	,	,	PUNCT
ajst-30170	13	28	compressive	compressive	ADJ
ajst-30170	13	29	,	,	PUNCT
ajst-30170	13	30	and	and	CCONJ
ajst-30170	13	31	cyclic	cyclic	ADJ
ajst-30170	13	32	loads	load	NOUN
ajst-30170	13	33	directly	directly	ADV
ajst-30170	13	34	affects	affect	VERB
ajst-30170	13	35	the	the	DET
ajst-30170	13	36	integrity	integrity	NOUN
ajst-30170	13	37	and	and	CCONJ
ajst-30170	13	38	safety	safety	NOUN
ajst-30170	13	39	of	of	ADP
ajst-30170	13	40	the	the	DET
ajst-30170	13	41	structure	structure	NOUN
ajst-30170	13	42	.	.	PUNCT
ajst-30170	14	1	however	however	ADV
ajst-30170	14	2	,	,	PUNCT
ajst-30170	14	3	traditional	traditional	ADJ
ajst-30170	14	4	research	research	NOUN
ajst-30170	14	5	methods	method	NOUN
ajst-30170	14	6	mainly	mainly	ADV
ajst-30170	14	7	rely	rely	VERB
ajst-30170	14	8	on	on	ADP
ajst-30170	14	9	physical	physical	ADJ
ajst-30170	14	10	tests	test	NOUN
ajst-30170	14	11	and	and	CCONJ
ajst-30170	14	12	empirical	empirical	ADJ
ajst-30170	14	13	theoretical	theoretical	ADJ
ajst-30170	14	14	models	model	NOUN
ajst-30170	14	15	,	,	PUNCT
ajst-30170	14	16	which	which	PRON
ajst-30170	14	17	have	have	VERB
ajst-30170	14	18	problems	problem	NOUN
ajst-30170	14	19	such	such	ADJ
ajst-30170	14	20	as	as	ADP
ajst-30170	14	21	long	long	ADJ
ajst-30170	14	22	test	test	NOUN
ajst-30170	14	23	cycles	cycle	NOUN
ajst-30170	14	24	,	,	PUNCT
ajst-30170	14	25	high	high	ADJ
ajst-30170	14	26	costs	cost	NOUN
ajst-30170	14	27	,	,	PUNCT
ajst-30170	14	28	and	and	CCONJ
ajst-30170	14	29	insufficient	insufficient	ADJ
ajst-30170	14	30	prediction	prediction	NOUN
ajst-30170	14	31	accuracy	accuracy	NOUN
ajst-30170	14	32	for	for	ADP
ajst-30170	14	33	complex	complex	ADJ
ajst-30170	14	34	nonlinear	nonlinear	ADJ
ajst-30170	14	35	mechanical	mechanical	ADJ
ajst-30170	14	36	responses	response	NOUN
ajst-30170	14	37	.	.	PUNCT
ajst-30170	15	1	it	it	PRON
ajst-30170	15	2	is	be	AUX
ajst-30170	15	3	difficult	difficult	ADJ
ajst-30170	15	4	to	to	PART
ajst-30170	15	5	meet	meet	VERB
ajst-30170	15	6	the	the	DET
ajst-30170	15	7	efficient	efficient	ADJ
ajst-30170	15	8	performance	performance	NOUN
ajst-30170	15	9	evaluation	evaluation	NOUN
ajst-30170	15	10	requirements	requirement	NOUN
ajst-30170	15	11	under	under	ADP
ajst-30170	15	12	multi	multi	ADJ
ajst-30170	15	13	parameter	parameter	NOUN
ajst-30170	15	14	coupling	couple	VERB
ajst-30170	15	15	working	work	VERB
ajst-30170	15	16	conditions	condition	NOUN
ajst-30170	15	17	.	.	PUNCT
ajst-30170	16	1	in	in	ADP
ajst-30170	16	2	recent	recent	ADJ
ajst-30170	16	3	years	year	NOUN
ajst-30170	16	4	,	,	PUNCT
ajst-30170	16	5	with	with	ADP
ajst-30170	16	6	the	the	DET
ajst-30170	16	7	breakthrough	breakthrough	NOUN
ajst-30170	16	8	of	of	ADP
ajst-30170	16	9	artificial	artificial	ADJ
ajst-30170	16	10	intelligence	intelligence	NOUN
ajst-30170	16	11	technology	technology	NOUN
ajst-30170	16	12	,	,	PUNCT
ajst-30170	16	13	machine	machine	NOUN
ajst-30170	16	14	learning	learning	NOUN
ajst-30170	16	15	has	have	AUX
ajst-30170	16	16	provided	provide	VERB
ajst-30170	16	17	new	new	ADJ
ajst-30170	16	18	ideas	idea	NOUN
ajst-30170	16	19	for	for	ADP
ajst-30170	16	20	predicting	predict	VERB
ajst-30170	16	21	and	and	CCONJ
ajst-30170	16	22	optimizing	optimize	VERB
ajst-30170	16	23	the	the	DET
ajst-30170	16	24	performance	performance	NOUN
ajst-30170	16	25	of	of	ADP
ajst-30170	16	26	grouted	grouted	ADJ
ajst-30170	16	27	sleeve	sleeve	NOUN
ajst-30170	16	28	connections	connection	NOUN
ajst-30170	16	29	.	.	PUNCT
ajst-30170	17	1	by	by	ADP
ajst-30170	17	2	mining	mine	VERB
ajst-30170	17	3	the	the	DET
ajst-30170	17	4	complex	complex	ADJ
ajst-30170	17	5	nonlinear	nonlinear	ADJ
ajst-30170	17	6	relationships	relationship	NOUN
ajst-30170	17	7	between	between	ADP
ajst-30170	17	8	factors	factor	NOUN
ajst-30170	17	9	such	such	ADJ
ajst-30170	17	10	as	as	ADP
ajst-30170	17	11	material	material	ADJ
ajst-30170	17	12	properties	property	NOUN
ajst-30170	17	13	,	,	PUNCT
ajst-30170	17	14	geometric	geometric	ADJ
ajst-30170	17	15	parameters	parameter	NOUN
ajst-30170	17	16	,	,	PUNCT
ajst-30170	17	17	and	and	CCONJ
ajst-30170	17	18	load	load	VERB
ajst-30170	17	19	conditions	condition	NOUN
ajst-30170	17	20	through	through	ADP
ajst-30170	17	21	data	datum	NOUN
ajst-30170	17	22	driven	drive	VERB
ajst-30170	17	23	models	model	NOUN
ajst-30170	17	24	,	,	PUNCT
ajst-30170	17	25	machine	machine	NOUN
ajst-30170	17	26	learning	learning	NOUN
ajst-30170	17	27	technology	technology	NOUN
ajst-30170	17	28	has	have	AUX
ajst-30170	17	29	significantly	significantly	ADV
ajst-30170	17	30	improved	improve	VERB
ajst-30170	17	31	the	the	DET
ajst-30170	17	32	prediction	prediction	NOUN
ajst-30170	17	33	efficiency	efficiency	NOUN
ajst-30170	17	34	and	and	CCONJ
ajst-30170	17	35	accuracy	accuracy	NOUN
ajst-30170	17	36	,	,	PUNCT
ajst-30170	17	37	becoming	become	VERB
ajst-30170	17	38	an	an	DET
ajst-30170	17	39	important	important	ADJ
ajst-30170	17	40	way	way	NOUN
ajst-30170	17	41	to	to	PART
ajst-30170	17	42	break	break	VERB
ajst-30170	17	43	through	through	ADP
ajst-30170	17	44	the	the	DET
ajst-30170	17	45	bottleneck	bottleneck	NOUN
ajst-30170	17	46	of	of	ADP
ajst-30170	17	47	traditional	traditional	ADJ
ajst-30170	17	48	research	research	NOUN
ajst-30170	17	49	.	.	PUNCT
ajst-30170	18	1	however	however	ADV
ajst-30170	18	2	,	,	PUNCT
ajst-30170	18	3	existing	exist	VERB
ajst-30170	18	4	research	research	NOUN
ajst-30170	18	5	still	still	ADV
ajst-30170	18	6	lacks	lack	VERB
ajst-30170	18	7	a	a	DET
ajst-30170	18	8	systematic	systematic	ADJ
ajst-30170	18	9	discussion	discussion	NOUN
ajst-30170	18	10	on	on	ADP
ajst-30170	18	11	the	the	DET
ajst-30170	18	12	applicability	applicability	NOUN
ajst-30170	18	13	of	of	ADP
ajst-30170	18	14	different	different	ADJ
ajst-30170	18	15	algorithms	algorithm	NOUN
ajst-30170	18	16	and	and	CCONJ
ajst-30170	18	17	the	the	DET
ajst-30170	18	18	interpretability	interpretability	NOUN
ajst-30170	18	19	of	of	ADP
ajst-30170	18	20	models	model	NOUN
ajst-30170	18	21	,	,	PUNCT
ajst-30170	18	22	especially	especially	ADV
ajst-30170	18	23	the	the	DET
ajst-30170	18	24	potential	potential	NOUN
ajst-30170	18	25	of	of	ADP
ajst-30170	18	26	ensemble	ensemble	ADJ
ajst-30170	18	27	learning	learning	NOUN
ajst-30170	18	28	algorithms	algorithm	NOUN
ajst-30170	18	29	remains	remain	VERB
ajst-30170	18	30	to	to	PART
ajst-30170	18	31	be	be	AUX
ajst-30170	18	32	further	far	ADV
ajst-30170	18	33	explored	explore	VERB
ajst-30170	18	34	.	.	PUNCT
ajst-30170	19	1	domestic	domestic	ADJ
ajst-30170	19	2	scholars	scholar	NOUN
ajst-30170	19	3	have	have	AUX
ajst-30170	19	4	carried	carry	VERB
ajst-30170	19	5	out	out	ADP
ajst-30170	19	6	a	a	DET
ajst-30170	19	7	large	large	ADJ
ajst-30170	19	8	number	number	NOUN
ajst-30170	19	9	of	of	ADP
ajst-30170	19	10	experiments	experiment	NOUN
ajst-30170	19	11	and	and	CCONJ
ajst-30170	19	12	theoretical	theoretical	ADJ
ajst-30170	19	13	analyses	analysis	NOUN
ajst-30170	19	14	on	on	ADP
ajst-30170	19	15	the	the	DET
ajst-30170	19	16	mechanical	mechanical	ADJ
ajst-30170	19	17	properties	property	NOUN
ajst-30170	19	18	of	of	ADP
ajst-30170	19	19	grouted	grouted	ADJ
ajst-30170	19	20	steel	steel	NOUN
ajst-30170	19	21	tube	tube	NOUN
ajst-30170	19	22	sleeves	sleeve	NOUN
ajst-30170	19	23	.	.	PUNCT
ajst-30170	20	1	early	early	ADJ
ajst-30170	20	2	research	research	NOUN
ajst-30170	20	3	focused	focus	VERB
ajst-30170	20	4	on	on	ADP
ajst-30170	20	5	the	the	DET
ajst-30170	20	6	influence	influence	NOUN
ajst-30170	20	7	laws	law	NOUN
ajst-30170	20	8	of	of	ADP
ajst-30170	20	9	parameters	parameter	NOUN
ajst-30170	20	10	such	such	ADJ
ajst-30170	20	11	as	as	ADP
ajst-30170	20	12	sleeve	sleeve	NOUN
ajst-30170	20	13	material	material	NOUN
ajst-30170	20	14	properties	property	NOUN
ajst-30170	20	15	,	,	PUNCT
ajst-30170	20	16	grouting	grout	VERB
ajst-30170	20	17	material	material	NOUN
ajst-30170	20	18	strength	strength	NOUN
ajst-30170	20	19	,	,	PUNCT
ajst-30170	20	20	and	and	CCONJ
ajst-30170	20	21	steel	steel	NOUN
ajst-30170	20	22	bar	bar	NOUN
ajst-30170	20	23	anchorage	anchorage	NOUN
ajst-30170	20	24	length	length	NOUN
ajst-30170	20	25	on	on	ADP
ajst-30170	20	26	the	the	DET
ajst-30170	20	27	connection	connection	NOUN
ajst-30170	20	28	performance	performance	NOUN
ajst-30170	20	29	.	.	PUNCT
ajst-30170	21	1	zhang	zhang	PROPN
ajst-30170	21	2	yanxiang	yanxiang	PROPN
ajst-30170	21	3	et	et	PROPN
ajst-30170	21	4	al	al	PROPN
ajst-30170	21	5	.	.	PUNCT
ajst-30170	22	1	the	the	DET
ajst-30170	22	2	basic	basic	ADJ
ajst-30170	22	3	requirements	requirement	NOUN
ajst-30170	22	4	for	for	ADP
ajst-30170	22	5	the	the	DET
ajst-30170	22	6	composition	composition	NOUN
ajst-30170	22	7	of	of	ADP
ajst-30170	22	8	sleeve	sleeve	NOUN
ajst-30170	22	9	connections	connection	NOUN
ajst-30170	22	10	were	be	AUX
ajst-30170	22	11	elaborated	elaborate	VERB
ajst-30170	22	12	.	.	PUNCT
ajst-30170	23	1	meanwhile	meanwhile	ADV
ajst-30170	23	2	,	,	PUNCT
ajst-30170	23	3	the	the	DET
ajst-30170	23	4	tensile	tensile	NOUN
ajst-30170	23	5	performance	performance	NOUN
ajst-30170	23	6	of	of	ADP
ajst-30170	23	7	grouted	grouted	ADJ
ajst-30170	23	8	steel	steel	NOUN
ajst-30170	23	9	tube	tube	NOUN
ajst-30170	23	10	sleeve	sleeve	NOUN
ajst-30170	23	11	connections	connection	NOUN
ajst-30170	23	12	was	be	AUX
ajst-30170	23	13	specifically	specifically	ADV
ajst-30170	23	14	analyzed	analyze	VERB
ajst-30170	23	15	[	[	X
ajst-30170	23	16	1	1	NUM
ajst-30170	23	17	]	]	PUNCT
ajst-30170	23	18	.	.	PUNCT
ajst-30170	24	1	wu	wu	PROPN
ajst-30170	24	2	liwei	liwei	PROPN
ajst-30170	24	3	,	,	PUNCT
ajst-30170	24	4	su	su	PROPN
ajst-30170	24	5	youpo	youpo	PROPN
ajst-30170	24	6	,	,	PUNCT
ajst-30170	24	7	chen	chen	PROPN
ajst-30170	24	8	haibin	haibin	PROPN
ajst-30170	24	9	,	,	PUNCT
ajst-30170	24	10	et	et	PROPN
ajst-30170	24	11	al	al	PROPN
ajst-30170	24	12	.	.	PROPN
ajst-30170	25	1	twenty	twenty	NUM
ajst-30170	25	2	-	-	PUNCT
ajst-30170	25	3	seven	seven	NUM
ajst-30170	25	4	axial	axial	ADJ
ajst-30170	25	5	compression	compression	NOUN
ajst-30170	25	6	specimens	specimen	NOUN
ajst-30170	25	7	were	be	AUX
ajst-30170	25	8	designed	design	VERB
ajst-30170	25	9	to	to	PART
ajst-30170	25	10	investigate	investigate	VERB
ajst-30170	25	11	the	the	DET
ajst-30170	25	12	axial	axial	ADJ
ajst-30170	25	13	compression	compression	NOUN
ajst-30170	25	14	performance	performance	NOUN
ajst-30170	25	15	of	of	ADP
ajst-30170	25	16	grouted	grouted	ADJ
ajst-30170	25	17	steel	steel	NOUN
ajst-30170	25	18	tube	tube	NOUN
ajst-30170	25	19	sleeve	sleeve	NOUN
ajst-30170	25	20	connections	connection	NOUN
ajst-30170	25	21	,	,	PUNCT
ajst-30170	25	22	and	and	CCONJ
ajst-30170	25	23	static	static	ADJ
ajst-30170	25	24	load	load	NOUN
ajst-30170	25	25	tests	test	NOUN
ajst-30170	25	26	were	be	AUX
ajst-30170	25	27	carried	carry	VERB
ajst-30170	25	28	out	out	ADP
ajst-30170	25	29	.	.	PUNCT
ajst-30170	26	1	taking	take	VERB
ajst-30170	26	2	the	the	DET
ajst-30170	26	3	grouting	grout	VERB
ajst-30170	26	4	material	material	NOUN
ajst-30170	26	5	strength	strength	NOUN
ajst-30170	26	6	and	and	CCONJ
ajst-30170	26	7	connection	connection	NOUN
ajst-30170	26	8	length	length	NOUN
ajst-30170	26	9	as	as	ADP
ajst-30170	26	10	two	two	NUM
ajst-30170	26	11	variable	variable	ADJ
ajst-30170	26	12	parameters	parameter	NOUN
ajst-30170	26	13	,	,	PUNCT
ajst-30170	26	14	a	a	DET
ajst-30170	26	15	calculation	calculation	NOUN
ajst-30170	26	16	formula	formula	NOUN
ajst-30170	26	17	for	for	ADP
ajst-30170	26	18	the	the	DET
ajst-30170	26	19	bearing	bearing	NOUN
ajst-30170	26	20	capacity	capacity	NOUN
ajst-30170	26	21	of	of	ADP
ajst-30170	26	22	these	these	DET
ajst-30170	26	23	connections	connection	NOUN
ajst-30170	26	24	was	be	AUX
ajst-30170	26	25	proposed	propose	VERB
ajst-30170	26	26	.	.	PUNCT
ajst-30170	27	1	the	the	DET
ajst-30170	27	2	test	test	NOUN
ajst-30170	27	3	results	result	VERB
ajst-30170	27	4	from	from	ADP
ajst-30170	27	5	relevant	relevant	ADJ
ajst-30170	27	6	domestic	domestic	ADJ
ajst-30170	27	7	and	and	CCONJ
ajst-30170	27	8	foreign	foreign	ADJ
ajst-30170	27	9	literatures	literature	NOUN
ajst-30170	27	10	were	be	AUX
ajst-30170	27	11	compared	compare	VERB
ajst-30170	27	12	with	with	ADP
ajst-30170	27	13	the	the	DET
ajst-30170	27	14	formula	formula	NOUN
ajst-30170	27	15	's	's	PART
ajst-30170	27	16	calculation	calculation	NOUN
ajst-30170	27	17	results	result	NOUN
ajst-30170	27	18	,	,	PUNCT
ajst-30170	27	19	and	and	CCONJ
ajst-30170	27	20	the	the	DET
ajst-30170	27	21	calculated	calculate	VERB
ajst-30170	27	22	values	value	NOUN
ajst-30170	27	23	were	be	AUX
ajst-30170	27	24	conservative	conservative	ADJ
ajst-30170	28	1	[	[	X
ajst-30170	28	2	2	2	NUM
ajst-30170	28	3	]	]	PUNCT
ajst-30170	28	4	.	.	PUNCT
ajst-30170	29	1	wu	wu	PROPN
ajst-30170	29	2	liwei	liwei	PROPN
ajst-30170	29	3	,	,	PUNCT
ajst-30170	29	4	su	su	PROPN
ajst-30170	29	5	youpo	youpo	PROPN
ajst-30170	29	6	,	,	PUNCT
ajst-30170	29	7	et	et	PROPN
ajst-30170	29	8	al	al	PROPN
ajst-30170	29	9	.	.	PROPN
ajst-30170	30	1	in	in	ADP
ajst-30170	30	2	the	the	DET
ajst-30170	30	3	experiment	experiment	NOUN
ajst-30170	30	4	,	,	PUNCT
ajst-30170	30	5	16	16	NUM
ajst-30170	30	6	groups	group	NOUN
ajst-30170	30	7	consisting	consist	VERB
ajst-30170	30	8	of	of	ADP
ajst-30170	30	9	48	48	NUM
ajst-30170	30	10	grouted	grout	VERB
ajst-30170	30	11	steel	steel	NOUN
ajst-30170	30	12	tube	tube	NOUN
ajst-30170	30	13	sleeve	sleeve	NOUN
ajst-30170	30	14	connection	connection	NOUN
ajst-30170	30	15	specimens	specimen	NOUN
ajst-30170	30	16	were	be	AUX
ajst-30170	30	17	designed	design	VERB
ajst-30170	30	18	.	.	PUNCT
ajst-30170	31	1	the	the	DET
ajst-30170	31	2	aim	aim	NOUN
ajst-30170	31	3	was	be	AUX
ajst-30170	31	4	to	to	PART
ajst-30170	31	5	research	research	VERB
ajst-30170	31	6	the	the	DET
ajst-30170	31	7	axial	axial	ADJ
ajst-30170	31	8	tensile	tensile	NOUN
ajst-30170	31	9	failure	failure	NOUN
ajst-30170	31	10	process	process	NOUN
ajst-30170	31	11	and	and	CCONJ
ajst-30170	31	12	mechanism	mechanism	NOUN
ajst-30170	31	13	of	of	ADP
ajst-30170	31	14	these	these	DET
ajst-30170	31	15	connections	connection	NOUN
ajst-30170	31	16	.	.	PUNCT
ajst-30170	32	1	instead	instead	ADV
ajst-30170	32	2	of	of	ADP
ajst-30170	32	3	round	round	VERB
ajst-30170	32	4	steel	steel	NOUN
ajst-30170	32	5	tubes	tube	NOUN
ajst-30170	32	6	,	,	PUNCT
ajst-30170	32	7	steel	steel	NOUN
ajst-30170	32	8	plates	plate	NOUN
ajst-30170	32	9	were	be	AUX
ajst-30170	32	10	utilized	utilize	VERB
ajst-30170	32	11	for	for	ADP
ajst-30170	32	12	the	the	DET
ajst-30170	32	13	specimens	specimen	NOUN
ajst-30170	32	14	,	,	PUNCT
ajst-30170	32	15	and	and	CCONJ
ajst-30170	32	16	static	static	ADJ
ajst-30170	32	17	load	load	NOUN
ajst-30170	32	18	tests	test	NOUN
ajst-30170	32	19	were	be	AUX
ajst-30170	32	20	carried	carry	VERB
ajst-30170	32	21	out	out	ADP
ajst-30170	32	22	[	[	X
ajst-30170	32	23	3	3	NUM
ajst-30170	32	24	]	]	PUNCT
ajst-30170	32	25	.	.	PUNCT
ajst-30170	33	1	zhang	zhang	PROPN
ajst-30170	33	2	rui	rui	PROPN
ajst-30170	33	3	,	,	PUNCT
ajst-30170	33	4	chen	chen	PROPN
ajst-30170	33	5	jianwei	jianwei	PROPN
ajst-30170	33	6	,	,	PUNCT
ajst-30170	33	7	et	et	PROPN
ajst-30170	33	8	al	al	PROPN
ajst-30170	33	9	.	.	PUNCT
ajst-30170	33	10	to	to	PART
ajst-30170	33	11	improve	improve	VERB
ajst-30170	33	12	the	the	DET
ajst-30170	33	13	connection	connection	NOUN
ajst-30170	33	14	performance	performance	NOUN
ajst-30170	33	15	of	of	ADP
ajst-30170	33	16	concrete	concrete	ADJ
ajst-30170	33	17	filled	fill	VERB
ajst-30170	33	18	steel	steel	NOUN
ajst-30170	33	19	tube	tube	NOUN
ajst-30170	33	20	composite	composite	ADJ
ajst-30170	33	21	column	column	NOUN
ajst-30170	33	22	joints	joint	NOUN
ajst-30170	33	23	,	,	PUNCT
ajst-30170	33	24	sleeves	sleeve	NOUN
ajst-30170	33	25	were	be	AUX
ajst-30170	33	26	installed	instal	VERB
ajst-30170	33	27	for	for	ADP
ajst-30170	33	28	grouting	grout	VERB
ajst-30170	33	29	connection	connection	NOUN
ajst-30170	33	30	between	between	ADP
ajst-30170	33	31	the	the	DET
ajst-30170	33	32	upper	upper	ADJ
ajst-30170	33	33	and	and	CCONJ
ajst-30170	33	34	lower	low	ADJ
ajst-30170	33	35	concrete	concrete	ADJ
ajst-30170	33	36	filled	fill	VERB
ajst-30170	33	37	steel	steel	NOUN
ajst-30170	33	38	tubes	tube	NOUN
ajst-30170	33	39	.	.	PUNCT
ajst-30170	34	1	subsequently	subsequently	ADV
ajst-30170	34	2	,	,	PUNCT
ajst-30170	34	3	eccentric	eccentric	ADJ
ajst-30170	34	4	compression	compression	NOUN
ajst-30170	34	5	tests	test	NOUN
ajst-30170	34	6	were	be	AUX
ajst-30170	34	7	performed	perform	VERB
ajst-30170	34	8	on	on	ADP
ajst-30170	34	9	6	6	NUM
ajst-30170	34	10	concrete	concrete	ADJ
ajst-30170	34	11	filled	fill	VERB
ajst-30170	34	12	steel	steel	NOUN
ajst-30170	34	13	tube	tube	NOUN
ajst-30170	34	14	composite	composite	ADJ
ajst-30170	34	15	columns	column	NOUN
ajst-30170	34	16	equipped	equip	VERB
ajst-30170	34	17	with	with	ADP
ajst-30170	34	18	grouted	grouted	ADJ
ajst-30170	34	19	sleeve	sleeve	NOUN
ajst-30170	34	20	connections	connection	NOUN
ajst-30170	34	21	[	[	X
ajst-30170	34	22	4	4	NUM
ajst-30170	34	23	]	]	PUNCT
ajst-30170	34	24	.	.	PUNCT
ajst-30170	35	1	in	in	ADP
ajst-30170	35	2	recent	recent	ADJ
ajst-30170	35	3	years	year	NOUN
ajst-30170	35	4	,	,	PUNCT
ajst-30170	35	5	with	with	ADP
ajst-30170	35	6	the	the	DET
ajst-30170	35	7	promotion	promotion	NOUN
ajst-30170	35	8	of	of	ADP
ajst-30170	35	9	prefabricated	prefabricate	VERB
ajst-30170	35	10	buildings	building	NOUN
ajst-30170	35	11	,	,	PUNCT
ajst-30170	35	12	the	the	DET
ajst-30170	35	13	research	research	NOUN
ajst-30170	35	14	has	have	AUX
ajst-30170	35	15	further	far	ADV
ajst-30170	35	16	expanded	expand	VERB
ajst-30170	35	17	to	to	ADP
ajst-30170	35	18	the	the	DET
ajst-30170	35	19	durability	durability	NOUN
ajst-30170	35	20	31	31	NUM
ajst-30170	35	21	assessment	assessment	NOUN
ajst-30170	35	22	under	under	ADP
ajst-30170	35	23	complex	complex	ADJ
ajst-30170	35	24	loads	load	NOUN
ajst-30170	35	25	(	(	PUNCT
ajst-30170	35	26	such	such	ADJ
ajst-30170	35	27	as	as	ADP
ajst-30170	35	28	fatigue	fatigue	NOUN
ajst-30170	35	29	,	,	PUNCT
ajst-30170	35	30	impact	impact	NOUN
ajst-30170	35	31	)	)	PUNCT
ajst-30170	35	32	and	and	CCONJ
ajst-30170	35	33	seismic	seismic	ADJ
ajst-30170	35	34	performance	performance	NOUN
ajst-30170	35	35	optimization	optimization	NOUN
ajst-30170	35	36	.	.	PUNCT
ajst-30170	36	1	however	however	ADV
ajst-30170	36	2	,	,	PUNCT
ajst-30170	36	3	domestic	domestic	ADJ
ajst-30170	36	4	research	research	NOUN
ajst-30170	36	5	still	still	ADV
ajst-30170	36	6	mainly	mainly	ADV
ajst-30170	36	7	focuses	focus	VERB
ajst-30170	36	8	on	on	ADP
ajst-30170	36	9	experiments	experiment	NOUN
ajst-30170	36	10	,	,	PUNCT
ajst-30170	36	11	and	and	CCONJ
ajst-30170	36	12	numerical	numerical	ADJ
ajst-30170	36	13	simulations	simulation	NOUN
ajst-30170	36	14	mostly	mostly	ADV
ajst-30170	36	15	rely	rely	VERB
ajst-30170	36	16	on	on	ADP
ajst-30170	36	17	finite	finite	ADJ
ajst-30170	36	18	element	element	NOUN
ajst-30170	36	19	methods	method	NOUN
ajst-30170	36	20	,	,	PUNCT
ajst-30170	36	21	with	with	ADP
ajst-30170	36	22	limited	limited	ADJ
ajst-30170	36	23	prediction	prediction	NOUN
ajst-30170	36	24	accuracy	accuracy	NOUN
ajst-30170	36	25	for	for	ADP
ajst-30170	36	26	multi	multi	ADJ
ajst-30170	36	27	variable	variable	ADJ
ajst-30170	36	28	coupling	coupling	NOUN
ajst-30170	36	29	effects	effect	NOUN
ajst-30170	36	30	.	.	PUNCT
ajst-30170	37	1	research	research	NOUN
ajst-30170	37	2	on	on	ADP
ajst-30170	37	3	grouted	grouted	ADJ
ajst-30170	37	4	sleeves	sleeve	NOUN
ajst-30170	37	5	abroad	abroad	ADV
ajst-30170	37	6	started	start	VERB
ajst-30170	37	7	earlier	early	ADV
ajst-30170	37	8	,	,	PUNCT
ajst-30170	37	9	especially	especially	ADV
ajst-30170	37	10	in	in	ADP
ajst-30170	37	11	regions	region	NOUN
ajst-30170	37	12	with	with	ADP
ajst-30170	37	13	mature	mature	ADJ
ajst-30170	37	14	prefabricated	prefabricate	VERB
ajst-30170	37	15	technologies	technology	NOUN
ajst-30170	37	16	such	such	ADJ
ajst-30170	37	17	as	as	ADP
ajst-30170	37	18	europe	europe	PROPN
ajst-30170	37	19	,	,	PUNCT
ajst-30170	37	20	america	america	PROPN
ajst-30170	37	21	,	,	PUNCT
ajst-30170	37	22	and	and	CCONJ
ajst-30170	37	23	japan	japan	PROPN
ajst-30170	37	24	.	.	PUNCT
ajst-30170	38	1	the	the	DET
ajst-30170	38	2	precast	precast	NOUN
ajst-30170	38	3	/	/	SYM
ajst-30170	38	4	prestressed	prestresse	VERB
ajst-30170	38	5	concrete	concrete	ADJ
ajst-30170	38	6	institute	institute	NOUN
ajst-30170	38	7	(	(	PUNCT
ajst-30170	38	8	pci	pci	PROPN
ajst-30170	38	9	)	)	PUNCT
ajst-30170	38	10	in	in	ADP
ajst-30170	38	11	the	the	DET
ajst-30170	38	12	united	united	PROPN
ajst-30170	38	13	states	states	PROPN
ajst-30170	38	14	developed	develop	VERB
ajst-30170	38	15	design	design	NOUN
ajst-30170	38	16	guidelines	guideline	NOUN
ajst-30170	38	17	for	for	ADP
ajst-30170	38	18	sleeve	sleeve	NOUN
ajst-30170	38	19	connections	connection	NOUN
ajst-30170	38	20	at	at	ADP
ajst-30170	38	21	an	an	DET
ajst-30170	38	22	early	early	ADJ
ajst-30170	38	23	stage	stage	NOUN
ajst-30170	38	24	,	,	PUNCT
ajst-30170	38	25	emphasizing	emphasize	VERB
ajst-30170	38	26	the	the	DET
ajst-30170	38	27	control	control	NOUN
ajst-30170	38	28	standards	standard	NOUN
ajst-30170	38	29	for	for	ADP
ajst-30170	38	30	the	the	DET
ajst-30170	38	31	fluidity	fluidity	NOUN
ajst-30170	38	32	and	and	CCONJ
ajst-30170	38	33	compactness	compactness	NOUN
ajst-30170	38	34	of	of	ADP
ajst-30170	38	35	grouting	grout	VERB
ajst-30170	38	36	materials	material	NOUN
ajst-30170	38	37	.	.	PUNCT
ajst-30170	39	1	european	european	ADJ
ajst-30170	39	2	scholars	scholar	NOUN
ajst-30170	39	3	analyzed	analyze	VERB
ajst-30170	39	4	the	the	DET
ajst-30170	39	5	damage	damage	NOUN
ajst-30170	39	6	evolution	evolution	NOUN
ajst-30170	39	7	process	process	NOUN
ajst-30170	39	8	of	of	ADP
ajst-30170	39	9	the	the	DET
ajst-30170	39	10	sleeve	sleeve	NOUN
ajst-30170	39	11	steel	steel	NOUN
ajst-30170	39	12	bar	bar	NOUN
ajst-30170	39	13	interface	interface	NOUN
ajst-30170	39	14	through	through	ADP
ajst-30170	39	15	refined	refined	ADJ
ajst-30170	39	16	finite	finite	NOUN
ajst-30170	39	17	element	element	NOUN
ajst-30170	39	18	models	model	NOUN
ajst-30170	39	19	and	and	CCONJ
ajst-30170	39	20	proposed	propose	VERB
ajst-30170	39	21	a	a	DET
ajst-30170	39	22	life	life	NOUN
ajst-30170	39	23	prediction	prediction	NOUN
ajst-30170	39	24	method	method	NOUN
ajst-30170	39	25	combined	combine	VERB
ajst-30170	39	26	with	with	ADP
ajst-30170	39	27	fracture	fracture	NOUN
ajst-30170	39	28	mechanics	mechanic	NOUN
ajst-30170	39	29	theory	theory	NOUN
ajst-30170	39	30	.	.	PUNCT
ajst-30170	40	1	japan	japan	PROPN
ajst-30170	40	2	systematically	systematically	ADV
ajst-30170	40	3	studied	study	VERB
ajst-30170	40	4	the	the	DET
ajst-30170	40	5	stiffness	stiffness	ADJ
ajst-30170	40	6	degradation	degradation	NOUN
ajst-30170	40	7	law	law	NOUN
ajst-30170	40	8	of	of	ADP
ajst-30170	40	9	sleeve	sleeve	NOUN
ajst-30170	40	10	connections	connection	NOUN
ajst-30170	40	11	under	under	ADP
ajst-30170	40	12	repeated	repeat	VERB
ajst-30170	40	13	loads	load	NOUN
ajst-30170	40	14	in	in	ADP
ajst-30170	40	15	response	response	NOUN
ajst-30170	40	16	to	to	ADP
ajst-30170	40	17	the	the	DET
ajst-30170	40	18	needs	need	NOUN
ajst-30170	40	19	of	of	ADP
ajst-30170	40	20	high	high	ADJ
ajst-30170	40	21	intensity	intensity	NOUN
ajst-30170	40	22	earthquake	earthquake	NOUN
ajst-30170	40	23	prone	prone	ADJ
ajst-30170	40	24	areas	area	NOUN
ajst-30170	40	25	.	.	PUNCT
ajst-30170	41	1	in	in	ADP
ajst-30170	41	2	recent	recent	ADJ
ajst-30170	41	3	years	year	NOUN
ajst-30170	41	4	,	,	PUNCT
ajst-30170	41	5	foreign	foreign	ADJ
ajst-30170	41	6	research	research	NOUN
ajst-30170	41	7	has	have	AUX
ajst-30170	41	8	gradually	gradually	ADV
ajst-30170	41	9	introduced	introduce	VERB
ajst-30170	41	10	machine	machine	NOUN
ajst-30170	41	11	learning	learning	NOUN
ajst-30170	41	12	technology	technology	NOUN
ajst-30170	41	13	.	.	PUNCT
ajst-30170	42	1	for	for	ADP
ajst-30170	42	2	example	example	NOUN
ajst-30170	42	3	,	,	PUNCT
ajst-30170	42	4	a	a	DET
ajst-30170	42	5	team	team	NOUN
ajst-30170	42	6	from	from	ADP
ajst-30170	42	7	the	the	DET
ajst-30170	42	8	university	university	PROPN
ajst-30170	42	9	of	of	ADP
ajst-30170	42	10	california	california	PROPN
ajst-30170	42	11	in	in	ADP
ajst-30170	42	12	the	the	DET
ajst-30170	42	13	united	united	PROPN
ajst-30170	42	14	states	states	PROPN
ajst-30170	42	15	used	use	VERB
ajst-30170	42	16	neural	neural	ADJ
ajst-30170	42	17	networks	network	NOUN
ajst-30170	42	18	to	to	PART
ajst-30170	42	19	predict	predict	VERB
ajst-30170	42	20	the	the	DET
ajst-30170	42	21	impact	impact	NOUN
ajst-30170	42	22	of	of	ADP
ajst-30170	42	23	grouting	grout	VERB
ajst-30170	42	24	defects	defect	NOUN
ajst-30170	42	25	on	on	ADP
ajst-30170	42	26	bearing	bear	VERB
ajst-30170	42	27	capacity	capacity	NOUN
ajst-30170	42	28	,	,	PUNCT
ajst-30170	42	29	but	but	CCONJ
ajst-30170	42	30	its	its	PRON
ajst-30170	42	31	data	data	NOUN
ajst-30170	42	32	scale	scale	NOUN
ajst-30170	42	33	and	and	CCONJ
ajst-30170	42	34	model	model	NOUN
ajst-30170	42	35	generalization	generalization	NOUN
ajst-30170	42	36	ability	ability	NOUN
ajst-30170	42	37	still	still	ADV
ajst-30170	42	38	need	need	VERB
ajst-30170	42	39	to	to	PART
ajst-30170	42	40	be	be	AUX
ajst-30170	42	41	improved	improve	VERB
ajst-30170	42	42	.	.	PUNCT
ajst-30170	43	1	overall	overall	ADJ
ajst-30170	43	2	,	,	PUNCT
ajst-30170	43	3	domestic	domestic	ADJ
ajst-30170	43	4	and	and	CCONJ
ajst-30170	43	5	foreign	foreign	ADJ
ajst-30170	43	6	research	research	NOUN
ajst-30170	43	7	has	have	AUX
ajst-30170	43	8	accumulated	accumulate	VERB
ajst-30170	43	9	rich	rich	ADJ
ajst-30170	43	10	results	result	NOUN
ajst-30170	43	11	in	in	ADP
ajst-30170	43	12	experimental	experimental	ADJ
ajst-30170	43	13	analysis	analysis	NOUN
ajst-30170	43	14	and	and	CCONJ
ajst-30170	43	15	theoretical	theoretical	ADJ
ajst-30170	43	16	modeling	modeling	NOUN
ajst-30170	43	17	,	,	PUNCT
ajst-30170	43	18	but	but	CCONJ
ajst-30170	43	19	the	the	DET
ajst-30170	43	20	limitations	limitation	NOUN
ajst-30170	43	21	of	of	ADP
ajst-30170	43	22	traditional	traditional	ADJ
ajst-30170	43	23	methods	method	NOUN
ajst-30170	43	24	in	in	ADP
ajst-30170	43	25	terms	term	NOUN
ajst-30170	43	26	of	of	ADP
ajst-30170	43	27	efficiency	efficiency	NOUN
ajst-30170	43	28	and	and	CCONJ
ajst-30170	43	29	accuracy	accuracy	NOUN
ajst-30170	43	30	have	have	AUX
ajst-30170	43	31	become	become	VERB
ajst-30170	43	32	increasingly	increasingly	ADV
ajst-30170	43	33	prominent	prominent	ADJ
ajst-30170	43	34	.	.	PUNCT
ajst-30170	44	1	the	the	DET
ajst-30170	44	2	introduction	introduction	NOUN
ajst-30170	44	3	of	of	ADP
ajst-30170	44	4	machine	machine	NOUN
ajst-30170	44	5	learning	learning	NOUN
ajst-30170	44	6	technology	technology	NOUN
ajst-30170	44	7	has	have	AUX
ajst-30170	44	8	opened	open	VERB
ajst-30170	44	9	up	up	ADP
ajst-30170	44	10	a	a	DET
ajst-30170	44	11	new	new	ADJ
ajst-30170	44	12	direction	direction	NOUN
ajst-30170	44	13	for	for	ADP
ajst-30170	44	14	predicting	predict	VERB
ajst-30170	44	15	the	the	DET
ajst-30170	44	16	performance	performance	NOUN
ajst-30170	44	17	of	of	ADP
ajst-30170	44	18	grouted	grouted	ADJ
ajst-30170	44	19	sleeves	sleeve	NOUN
ajst-30170	44	20	,	,	PUNCT
ajst-30170	44	21	especially	especially	ADV
ajst-30170	44	22	ensemble	ensemble	ADJ
ajst-30170	44	23	learning	learning	NOUN
ajst-30170	44	24	algorithms	algorithm	NOUN
ajst-30170	44	25	,	,	PUNCT
ajst-30170	44	26	which	which	PRON
ajst-30170	44	27	show	show	VERB
ajst-30170	44	28	greater	great	ADJ
ajst-30170	44	29	potential	potential	NOUN
ajst-30170	44	30	by	by	ADP
ajst-30170	44	31	integrating	integrate	VERB
ajst-30170	44	32	the	the	DET
ajst-30170	44	33	advantages	advantage	NOUN
ajst-30170	44	34	of	of	ADP
ajst-30170	44	35	multiple	multiple	ADJ
ajst-30170	44	36	models	model	NOUN
ajst-30170	44	37	.	.	PUNCT
ajst-30170	45	1	in	in	ADP
ajst-30170	45	2	the	the	DET
ajst-30170	45	3	future	future	NOUN
ajst-30170	45	4	,	,	PUNCT
ajst-30170	45	5	it	it	PRON
ajst-30170	45	6	is	be	AUX
ajst-30170	45	7	necessary	necessary	ADJ
ajst-30170	45	8	to	to	PART
ajst-30170	45	9	further	far	ADV
ajst-30170	45	10	combine	combine	VERB
ajst-30170	45	11	mechanical	mechanical	ADJ
ajst-30170	45	12	mechanisms	mechanism	NOUN
ajst-30170	45	13	with	with	ADP
ajst-30170	45	14	data	datum	NOUN
ajst-30170	45	15	driven	drive	VERB
ajst-30170	45	16	methods	method	NOUN
ajst-30170	45	17	to	to	PART
ajst-30170	45	18	construct	construct	VERB
ajst-30170	45	19	hybrid	hybrid	ADJ
ajst-30170	45	20	models	model	NOUN
ajst-30170	45	21	with	with	ADP
ajst-30170	45	22	strong	strong	ADJ
ajst-30170	45	23	interpretability	interpretability	NOUN
ajst-30170	45	24	and	and	CCONJ
ajst-30170	45	25	wide	wide	ADJ
ajst-30170	45	26	adaptability	adaptability	NOUN
ajst-30170	45	27	,	,	PUNCT
ajst-30170	45	28	so	so	SCONJ
ajst-30170	45	29	as	as	SCONJ
ajst-30170	45	30	to	to	PART
ajst-30170	45	31	promote	promote	VERB
ajst-30170	45	32	the	the	DET
ajst-30170	45	33	leap	leap	NOUN
ajst-30170	45	34	forward	forward	ADV
ajst-30170	45	35	development	development	NOUN
ajst-30170	45	36	of	of	ADP
ajst-30170	45	37	this	this	DET
ajst-30170	45	38	technology	technology	NOUN
ajst-30170	45	39	from	from	ADP
ajst-30170	45	40	theoretical	theoretical	ADJ
ajst-30170	45	41	research	research	NOUN
ajst-30170	45	42	to	to	ADP
ajst-30170	45	43	engineering	engineering	NOUN
ajst-30170	45	44	practice	practice	NOUN
ajst-30170	45	45	.	.	PUNCT
ajst-30170	46	1	2	2	X
ajst-30170	46	2	.	.	X
ajst-30170	46	3	data	datum	NOUN
ajst-30170	46	4	sources	source	NOUN
ajst-30170	46	5	and	and	CCONJ
ajst-30170	46	6	data	datum	NOUN
ajst-30170	46	7	processing	process	VERB
ajst-30170	46	8	2.1	2.1	NUM
ajst-30170	46	9	.	.	PUNCT
ajst-30170	47	1	data	datum	NOUN
ajst-30170	47	2	sources	source	NOUN
ajst-30170	47	3	in	in	ADP
ajst-30170	47	4	the	the	DET
ajst-30170	47	5	research	research	NOUN
ajst-30170	47	6	on	on	ADP
ajst-30170	47	7	predicting	predict	VERB
ajst-30170	47	8	the	the	DET
ajst-30170	47	9	performance	performance	NOUN
ajst-30170	47	10	of	of	ADP
ajst-30170	47	11	grouted	grouted	ADJ
ajst-30170	47	12	steel	steel	NOUN
ajst-30170	47	13	tube	tube	NOUN
ajst-30170	47	14	sleeve	sleeve	NOUN
ajst-30170	47	15	connections	connection	NOUN
ajst-30170	47	16	driven	drive	VERB
ajst-30170	47	17	by	by	ADP
ajst-30170	47	18	machine	machine	NOUN
ajst-30170	47	19	learning	learning	NOUN
ajst-30170	47	20	,	,	PUNCT
ajst-30170	47	21	the	the	DET
ajst-30170	47	22	acquisition	acquisition	NOUN
ajst-30170	47	23	of	of	ADP
ajst-30170	47	24	high	high	ADJ
ajst-30170	47	25	quality	quality	NOUN
ajst-30170	47	26	data	datum	NOUN
ajst-30170	47	27	is	be	AUX
ajst-30170	47	28	the	the	DET
ajst-30170	47	29	basis	basis	NOUN
ajst-30170	47	30	for	for	ADP
ajst-30170	47	31	model	model	NOUN
ajst-30170	47	32	training	training	NOUN
ajst-30170	47	33	and	and	CCONJ
ajst-30170	47	34	verification	verification	NOUN
ajst-30170	47	35	.	.	PUNCT
ajst-30170	48	1	currently	currently	ADV
ajst-30170	48	2	,	,	PUNCT
ajst-30170	48	3	data	datum	NOUN
ajst-30170	48	4	sources	source	NOUN
ajst-30170	48	5	include	include	VERB
ajst-30170	48	6	experimental	experimental	ADJ
ajst-30170	48	7	databases	database	NOUN
ajst-30170	48	8	and	and	CCONJ
ajst-30170	48	9	numerical	numerical	PROPN
ajst-30170	48	10	simulation	simulation	PROPN
ajst-30170	48	11	data	data	PROPN
ajst-30170	48	12	,	,	PUNCT
ajst-30170	48	13	which	which	PRON
ajst-30170	48	14	complement	complement	VERB
ajst-30170	48	15	each	each	DET
ajst-30170	48	16	other	other	ADJ
ajst-30170	48	17	in	in	ADP
ajst-30170	48	18	terms	term	NOUN
ajst-30170	48	19	of	of	ADP
ajst-30170	48	20	data	datum	NOUN
ajst-30170	48	21	scale	scale	NOUN
ajst-30170	48	22	,	,	PUNCT
ajst-30170	48	23	cost	cost	NOUN
ajst-30170	48	24	,	,	PUNCT
ajst-30170	48	25	and	and	CCONJ
ajst-30170	48	26	applicable	applicable	ADJ
ajst-30170	48	27	scenarios	scenario	NOUN
ajst-30170	48	28	.	.	PUNCT
ajst-30170	49	1	experimental	experimental	ADJ
ajst-30170	49	2	data	datum	NOUN
ajst-30170	49	3	is	be	AUX
ajst-30170	49	4	obtained	obtain	VERB
ajst-30170	49	5	through	through	ADP
ajst-30170	49	6	standardized	standardized	ADJ
ajst-30170	49	7	mechanical	mechanical	ADJ
ajst-30170	49	8	tests	test	NOUN
ajst-30170	49	9	and	and	CCONJ
ajst-30170	49	10	has	have	VERB
ajst-30170	49	11	high	high	ADJ
ajst-30170	49	12	credibility	credibility	NOUN
ajst-30170	49	13	.	.	PUNCT
ajst-30170	50	1	however	however	ADV
ajst-30170	50	2	,	,	PUNCT
ajst-30170	50	3	due	due	ADP
ajst-30170	50	4	to	to	ADP
ajst-30170	50	5	limitations	limitation	NOUN
ajst-30170	50	6	in	in	ADP
ajst-30170	50	7	test	test	NOUN
ajst-30170	50	8	costs	cost	NOUN
ajst-30170	50	9	and	and	CCONJ
ajst-30170	50	10	cycles	cycle	NOUN
ajst-30170	50	11	,	,	PUNCT
ajst-30170	50	12	the	the	DET
ajst-30170	50	13	sample	sample	NOUN
ajst-30170	50	14	size	size	NOUN
ajst-30170	50	15	is	be	AUX
ajst-30170	50	16	usually	usually	ADV
ajst-30170	50	17	small	small	ADJ
ajst-30170	50	18	.	.	PUNCT
ajst-30170	51	1	the	the	DET
ajst-30170	51	2	concrete	concrete	ADJ
ajst-30170	51	3	joint	joint	ADJ
ajst-30170	51	4	performance	performance	NOUN
ajst-30170	51	5	database	database	NOUN
ajst-30170	51	6	released	release	VERB
ajst-30170	51	7	by	by	ADP
ajst-30170	51	8	the	the	DET
ajst-30170	51	9	national	national	PROPN
ajst-30170	51	10	institute	institute	PROPN
ajst-30170	51	11	of	of	ADP
ajst-30170	51	12	standards	standard	NOUN
ajst-30170	51	13	and	and	CCONJ
ajst-30170	51	14	technology	technology	NOUN
ajst-30170	51	15	(	(	PUNCT
ajst-30170	51	16	nist	nist	NOUN
ajst-30170	51	17	)	)	PUNCT
ajst-30170	51	18	in	in	ADP
ajst-30170	51	19	the	the	DET
ajst-30170	51	20	united	united	PROPN
ajst-30170	51	21	states	states	PROPN
ajst-30170	51	22	collects	collect	VERB
ajst-30170	51	23	tensile	tensile	NOUN
ajst-30170	51	24	and	and	CCONJ
ajst-30170	51	25	shear	shear	NOUN
ajst-30170	51	26	test	test	NOUN
ajst-30170	51	27	data	datum	NOUN
ajst-30170	51	28	of	of	ADP
ajst-30170	51	29	sleeve	sleeve	NOUN
ajst-30170	51	30	connections	connection	NOUN
ajst-30170	51	31	from	from	ADP
ajst-30170	51	32	multiple	multiple	ADJ
ajst-30170	51	33	research	research	NOUN
ajst-30170	51	34	institutions	institution	NOUN
ajst-30170	51	35	around	around	ADP
ajst-30170	51	36	the	the	DET
ajst-30170	51	37	world	world	NOUN
ajst-30170	51	38	,	,	PUNCT
ajst-30170	51	39	covering	cover	VERB
ajst-30170	51	40	load	load	NOUN
ajst-30170	51	41	displacement	displacement	ADJ
ajst-30170	51	42	curves	curve	NOUN
ajst-30170	51	43	,	,	PUNCT
ajst-30170	51	44	failure	failure	NOUN
ajst-30170	51	45	modes	mode	NOUN
ajst-30170	51	46	,	,	PUNCT
ajst-30170	51	47	and	and	CCONJ
ajst-30170	51	48	material	material	NOUN
ajst-30170	51	49	parameters	parameter	NOUN
ajst-30170	51	50	(	(	PUNCT
ajst-30170	51	51	such	such	ADJ
ajst-30170	51	52	as	as	ADP
ajst-30170	51	53	compressive	compressive	ADJ
ajst-30170	51	54	strength	strength	NOUN
ajst-30170	51	55	of	of	ADP
ajst-30170	51	56	grouting	grout	VERB
ajst-30170	51	57	materials	material	NOUN
ajst-30170	51	58	,	,	PUNCT
ajst-30170	51	59	yield	yield	NOUN
ajst-30170	51	60	strength	strength	NOUN
ajst-30170	51	61	of	of	ADP
ajst-30170	51	62	steel	steel	NOUN
ajst-30170	51	63	bars	bar	NOUN
ajst-30170	51	64	)	)	PUNCT
ajst-30170	51	65	.	.	PUNCT
ajst-30170	52	1	for	for	ADP
ajst-30170	52	2	example	example	NOUN
ajst-30170	52	3	,	,	PUNCT
ajst-30170	52	4	henin	henin	PROPN
ajst-30170	52	5	et	et	PROPN
ajst-30170	52	6	al	al	PROPN
ajst-30170	52	7	.	.	PROPN
ajst-30170	52	8	shared	share	VERB
ajst-30170	52	9	120	120	NUM
ajst-30170	52	10	sets	set	NOUN
ajst-30170	52	11	of	of	ADP
ajst-30170	52	12	sleeve	sleeve	NOUN
ajst-30170	52	13	tensile	tensile	NOUN
ajst-30170	52	14	test	test	NOUN
ajst-30170	52	15	data	datum	NOUN
ajst-30170	52	16	,	,	PUNCT
ajst-30170	52	17	which	which	PRON
ajst-30170	52	18	are	be	AUX
ajst-30170	52	19	widely	widely	ADV
ajst-30170	52	20	used	use	VERB
ajst-30170	52	21	for	for	ADP
ajst-30170	52	22	benchmark	benchmark	NOUN
ajst-30170	52	23	testing	testing	NOUN
ajst-30170	52	24	of	of	ADP
ajst-30170	52	25	machine	machine	NOUN
ajst-30170	52	26	learning	learning	NOUN
ajst-30170	52	27	models	model	NOUN
ajst-30170	52	28	.	.	PUNCT
ajst-30170	53	1	the	the	DET
ajst-30170	53	2	test	test	NOUN
ajst-30170	53	3	results	result	NOUN
ajst-30170	53	4	indicate	indicate	VERB
ajst-30170	53	5	that	that	SCONJ
ajst-30170	53	6	the	the	DET
ajst-30170	53	7	designed	design	VERB
ajst-30170	53	8	steel	steel	NOUN
ajst-30170	53	9	bar	bar	NOUN
ajst-30170	53	10	splicing	splicing	NOUN
ajst-30170	53	11	sleeve	sleeve	NOUN
ajst-30170	53	12	has	have	VERB
ajst-30170	53	13	adequate	adequate	ADJ
ajst-30170	53	14	capacity	capacity	NOUN
ajst-30170	53	15	to	to	PART
ajst-30170	53	16	effectively	effectively	ADV
ajst-30170	53	17	connect	connect	VERB
ajst-30170	53	18	the	the	DET
ajst-30170	53	19	steel	steel	NOUN
ajst-30170	53	20	bars	bar	NOUN
ajst-30170	53	21	.	.	PUNCT
ajst-30170	54	1	moreover	moreover	ADV
ajst-30170	54	2	,	,	PUNCT
ajst-30170	54	3	compared	compare	VERB
ajst-30170	54	4	with	with	ADP
ajst-30170	54	5	existing	exist	VERB
ajst-30170	54	6	proprietary	proprietary	ADJ
ajst-30170	54	7	splicing	splicing	NOUN
ajst-30170	54	8	sleeves	sleeve	NOUN
ajst-30170	54	9	,	,	PUNCT
ajst-30170	54	10	it	it	PRON
ajst-30170	54	11	is	be	AUX
ajst-30170	54	12	simpler	simple	ADJ
ajst-30170	54	13	in	in	ADP
ajst-30170	54	14	structure	structure	NOUN
ajst-30170	54	15	and	and	CCONJ
ajst-30170	54	16	more	more	ADJ
ajst-30170	54	17	cost	cost	NOUN
ajst-30170	54	18	effective	effective	ADJ
ajst-30170	54	19	[	[	X
ajst-30170	54	20	5	5	NUM
ajst-30170	54	21	]	]	PUNCT
ajst-30170	54	22	.	.	PUNCT
ajst-30170	55	1	numerical	numerical	ADJ
ajst-30170	55	2	simulations	simulation	NOUN
ajst-30170	55	3	generate	generate	VERB
ajst-30170	55	4	high	high	ADJ
ajst-30170	55	5	fidelity	fidelity	PROPN
ajst-30170	55	6	virtual	virtual	ADJ
ajst-30170	55	7	data	datum	NOUN
ajst-30170	55	8	through	through	ADP
ajst-30170	55	9	finite	finite	ADJ
ajst-30170	55	10	element	element	NOUN
ajst-30170	55	11	analysis	analysis	NOUN
ajst-30170	55	12	(	(	PUNCT
ajst-30170	55	13	fea	fea	NOUN
ajst-30170	55	14	)	)	PUNCT
ajst-30170	55	15	,	,	PUNCT
ajst-30170	55	16	which	which	PRON
ajst-30170	55	17	can	can	AUX
ajst-30170	55	18	cover	cover	VERB
ajst-30170	55	19	a	a	DET
ajst-30170	55	20	wide	wide	ADJ
ajst-30170	55	21	range	range	NOUN
ajst-30170	55	22	of	of	ADP
ajst-30170	55	23	parameter	parameter	NOUN
ajst-30170	55	24	spaces	space	NOUN
ajst-30170	55	25	at	at	ADP
ajst-30170	55	26	low	low	ADJ
ajst-30170	55	27	cost	cost	NOUN
ajst-30170	55	28	.	.	PUNCT
ajst-30170	56	1	typical	typical	ADJ
ajst-30170	56	2	tools	tool	NOUN
ajst-30170	56	3	include	include	VERB
ajst-30170	56	4	abaqus	abaqus	NOUN
ajst-30170	56	5	,	,	PUNCT
ajst-30170	56	6	ansys	ansys	PROPN
ajst-30170	56	7	,	,	PUNCT
ajst-30170	56	8	etc	etc	X
ajst-30170	56	9	.	.	X
ajst-30170	57	1	for	for	ADP
ajst-30170	57	2	example	example	NOUN
ajst-30170	57	3	,	,	PUNCT
ajst-30170	57	4	junbin	junbin	PROPN
ajst-30170	57	5	lou	lou	PROPN
ajst-30170	57	6	et	et	PROPN
ajst-30170	57	7	al	al	PROPN
ajst-30170	57	8	.	.	PROPN
ajst-30170	58	1	in	in	ADP
ajst-30170	58	2	this	this	DET
ajst-30170	58	3	research	research	NOUN
ajst-30170	58	4	,	,	PUNCT
ajst-30170	58	5	a	a	DET
ajst-30170	58	6	parameter	parameter	NOUN
ajst-30170	58	7	sharing	share	VERB
ajst-30170	58	8	residual	residual	ADJ
ajst-30170	58	9	multi	multi	ADJ
ajst-30170	58	10	fidelity	fidelity	PROPN
ajst-30170	58	11	neural	neural	ADJ
ajst-30170	58	12	network	network	NOUN
ajst-30170	58	13	(	(	PUNCT
ajst-30170	58	14	psrmfnn	psrmfnn	ADJ
ajst-30170	58	15	)	)	PUNCT
ajst-30170	58	16	was	be	AUX
ajst-30170	58	17	proposed	propose	VERB
ajst-30170	58	18	to	to	PART
ajst-30170	58	19	predict	predict	VERB
ajst-30170	58	20	the	the	DET
ajst-30170	58	21	ultimate	ultimate	ADJ
ajst-30170	58	22	bond	bond	NOUN
ajst-30170	58	23	strength	strength	NOUN
ajst-30170	58	24	of	of	ADP
ajst-30170	58	25	gsc	gsc	PROPN
ajst-30170	58	26	.	.	PUNCT
ajst-30170	59	1	for	for	ADP
ajst-30170	59	2	this	this	DET
ajst-30170	59	3	purpose	purpose	NOUN
ajst-30170	59	4	,	,	PUNCT
ajst-30170	59	5	a	a	DET
ajst-30170	59	6	database	database	NOUN
ajst-30170	59	7	was	be	AUX
ajst-30170	59	8	constructed	construct	VERB
ajst-30170	59	9	,	,	PUNCT
ajst-30170	59	10	which	which	PRON
ajst-30170	59	11	encompassed	encompass	VERB
ajst-30170	59	12	209	209	NUM
ajst-30170	59	13	existing	exist	VERB
ajst-30170	59	14	tensile	tensile	NOUN
ajst-30170	59	15	experimental	experimental	ADJ
ajst-30170	59	16	data	datum	NOUN
ajst-30170	59	17	of	of	ADP
ajst-30170	59	18	gsc	gsc	PROPN
ajst-30170	59	19	.	.	PUNCT
ajst-30170	60	1	this	this	DET
ajst-30170	60	2	database	database	NOUN
ajst-30170	60	3	was	be	AUX
ajst-30170	60	4	then	then	ADV
ajst-30170	60	5	used	use	VERB
ajst-30170	60	6	to	to	PART
ajst-30170	60	7	train	train	VERB
ajst-30170	60	8	and	and	CCONJ
ajst-30170	60	9	assess	assess	VERB
ajst-30170	60	10	the	the	DET
ajst-30170	60	11	psrmfnn	psrmfnn	NOUN
ajst-30170	61	1	[	[	X
ajst-30170	61	2	6	6	NUM
ajst-30170	61	3	]	]	PUNCT
ajst-30170	61	4	.	.	PUNCT
ajst-30170	62	1	wang	wang	PROPN
ajst-30170	62	2	ning	ning	PROPN
ajst-30170	62	3	,	,	PUNCT
ajst-30170	62	4	che	che	PROPN
ajst-30170	62	5	wenpeng	wenpeng	PROPN
ajst-30170	62	6	,	,	PUNCT
ajst-30170	62	7	et	et	PROPN
ajst-30170	62	8	al	al	PROPN
ajst-30170	62	9	.	.	PUNCT
ajst-30170	63	1	the	the	DET
ajst-30170	63	2	static	static	ADJ
ajst-30170	63	3	tensile	tensile	NOUN
ajst-30170	63	4	simulation	simulation	NOUN
ajst-30170	63	5	analysis	analysis	NOUN
ajst-30170	63	6	of	of	ADP
ajst-30170	63	7	joints	joint	NOUN
ajst-30170	63	8	was	be	AUX
ajst-30170	63	9	carried	carry	VERB
ajst-30170	63	10	out	out	ADP
ajst-30170	63	11	using	use	VERB
ajst-30170	63	12	the	the	DET
ajst-30170	63	13	abaqus	abaqus	PROPN
ajst-30170	63	14	finite	finite	PROPN
ajst-30170	63	15	element	element	PROPN
ajst-30170	63	16	software	software	NOUN
ajst-30170	63	17	.	.	PUNCT
ajst-30170	64	1	through	through	ADP
ajst-30170	64	2	comparison	comparison	NOUN
ajst-30170	64	3	,	,	PUNCT
ajst-30170	64	4	a	a	DET
ajst-30170	64	5	sleeve	sleeve	NOUN
ajst-30170	64	6	joint	joint	ADJ
ajst-30170	64	7	modeling	modeling	NOUN
ajst-30170	64	8	method	method	NOUN
ajst-30170	64	9	featuring	feature	VERB
ajst-30170	64	10	good	good	ADJ
ajst-30170	64	11	calculation	calculation	NOUN
ajst-30170	64	12	accuracy	accuracy	NOUN
ajst-30170	64	13	and	and	CCONJ
ajst-30170	64	14	an	an	DET
ajst-30170	64	15	appropriate	appropriate	ADJ
ajst-30170	64	16	number	number	NOUN
ajst-30170	64	17	of	of	ADP
ajst-30170	64	18	elements	element	NOUN
ajst-30170	64	19	was	be	AUX
ajst-30170	64	20	derived	derive	VERB
ajst-30170	64	21	[	[	X
ajst-30170	64	22	7	7	NUM
ajst-30170	64	23	]	]	PUNCT
ajst-30170	64	24	.	.	PUNCT
ajst-30170	65	1	to	to	PART
ajst-30170	65	2	make	make	VERB
ajst-30170	65	3	up	up	ADP
ajst-30170	65	4	for	for	ADP
ajst-30170	65	5	the	the	DET
ajst-30170	65	6	deficiencies	deficiency	NOUN
ajst-30170	65	7	of	of	ADP
ajst-30170	65	8	a	a	DET
ajst-30170	65	9	single	single	ADJ
ajst-30170	65	10	data	datum	NOUN
ajst-30170	65	11	source	source	NOUN
ajst-30170	65	12	,	,	PUNCT
ajst-30170	65	13	researchers	researcher	NOUN
ajst-30170	65	14	often	often	ADV
ajst-30170	65	15	adopt	adopt	VERB
ajst-30170	65	16	the	the	DET
ajst-30170	65	17	following	follow	VERB
ajst-30170	65	18	strategies	strategy	NOUN
ajst-30170	65	19	:	:	PUNCT
ajst-30170	65	20	fuse	fuse	NOUN
ajst-30170	65	21	experimental	experimental	ADJ
ajst-30170	65	22	data	datum	NOUN
ajst-30170	65	23	and	and	CCONJ
ajst-30170	65	24	simulation	simulation	NOUN
ajst-30170	65	25	data	datum	NOUN
ajst-30170	65	26	,	,	PUNCT
ajst-30170	65	27	and	and	CCONJ
ajst-30170	65	28	use	use	VERB
ajst-30170	65	29	transfer	transfer	NOUN
ajst-30170	65	30	learning	learn	VERB
ajst-30170	65	31	to	to	PART
ajst-30170	65	32	improve	improve	VERB
ajst-30170	65	33	the	the	DET
ajst-30170	65	34	model	model	NOUN
ajst-30170	65	35	's	's	PART
ajst-30170	65	36	generalization	generalization	NOUN
ajst-30170	65	37	ability	ability	NOUN
ajst-30170	65	38	.	.	PUNCT
ajst-30170	66	1	for	for	ADP
ajst-30170	66	2	example	example	NOUN
ajst-30170	66	3	,	,	PUNCT
ajst-30170	66	4	gao	gao	PROPN
ajst-30170	66	5	ma	ma	PROPN
ajst-30170	66	6	et	et	PROPN
ajst-30170	66	7	al	al	PROPN
ajst-30170	66	8	.	.	PUNCT
ajst-30170	67	1	a	a	DET
ajst-30170	67	2	database	database	NOUN
ajst-30170	67	3	consisting	consist	VERB
ajst-30170	67	4	of	of	ADP
ajst-30170	67	5	418	418	NUM
ajst-30170	67	6	existing	exist	VERB
ajst-30170	67	7	test	test	NOUN
ajst-30170	67	8	data	datum	NOUN
ajst-30170	67	9	for	for	ADP
ajst-30170	67	10	grouted	grouted	ADJ
ajst-30170	67	11	sleeve	sleeve	NOUN
ajst-30170	67	12	connections	connection	NOUN
ajst-30170	67	13	was	be	AUX
ajst-30170	67	14	utilized	utilize	VERB
ajst-30170	67	15	,	,	PUNCT
ajst-30170	67	16	along	along	ADP
ajst-30170	67	17	with	with	ADP
ajst-30170	67	18	11	11	NUM
ajst-30170	67	19	machine	machine	NOUN
ajst-30170	67	20	learning	learn	VERB
ajst-30170	67	21	algorithms	algorithm	NOUN
ajst-30170	67	22	(	(	PUNCT
ajst-30170	67	23	among	among	ADP
ajst-30170	67	24	which	which	PRON
ajst-30170	67	25	was	be	AUX
ajst-30170	67	26	the	the	DET
ajst-30170	67	27	random	random	ADJ
ajst-30170	67	28	forest	forest	NOUN
ajst-30170	67	29	algorithm	algorithm	NOUN
ajst-30170	67	30	)	)	PUNCT
ajst-30170	67	31	,	,	PUNCT
ajst-30170	67	32	to	to	PART
ajst-30170	67	33	construct	construct	VERB
ajst-30170	67	34	models	model	NOUN
ajst-30170	67	35	for	for	ADP
ajst-30170	67	36	predicting	predict	VERB
ajst-30170	67	37	the	the	DET
ajst-30170	67	38	tensile	tensile	NOUN
ajst-30170	67	39	bearing	bear	VERB
ajst-30170	67	40	capacity	capacity	NOUN
ajst-30170	67	41	and	and	CCONJ
ajst-30170	67	42	failure	failure	NOUN
ajst-30170	67	43	mode	mode	NOUN
ajst-30170	67	44	of	of	ADP
ajst-30170	67	45	grouted	grouted	ADJ
ajst-30170	67	46	sleeve	sleeve	NOUN
ajst-30170	67	47	connections	connection	NOUN
ajst-30170	67	48	.	.	PUNCT
ajst-30170	68	1	the	the	DET
ajst-30170	68	2	results	result	NOUN
ajst-30170	68	3	demonstrate	demonstrate	VERB
ajst-30170	68	4	that	that	SCONJ
ajst-30170	68	5	machine	machine	NOUN
ajst-30170	68	6	learning	learning	NOUN
ajst-30170	68	7	methods	method	NOUN
ajst-30170	68	8	are	be	AUX
ajst-30170	68	9	capable	capable	ADJ
ajst-30170	68	10	of	of	ADP
ajst-30170	68	11	effectively	effectively	ADV
ajst-30170	68	12	forecasting	forecast	VERB
ajst-30170	68	13	the	the	DET
ajst-30170	68	14	tensile	tensile	NOUN
ajst-30170	68	15	bearing	bear	VERB
ajst-30170	68	16	capacity	capacity	NOUN
ajst-30170	68	17	and	and	CCONJ
ajst-30170	68	18	failure	failure	NOUN
ajst-30170	68	19	mode	mode	NOUN
ajst-30170	68	20	of	of	ADP
ajst-30170	68	21	grouted	grout	VERB
ajst-30170	68	22	sleeve	sleeve	NOUN
ajst-30170	68	23	connections	connection	NOUN
ajst-30170	68	24	with	with	ADP
ajst-30170	68	25	diverse	diverse	ADJ
ajst-30170	68	26	common	common	ADJ
ajst-30170	68	27	construction	construction	NOUN
ajst-30170	68	28	defects	defect	NOUN
ajst-30170	68	29	[	[	X
ajst-30170	68	30	8	8	NUM
ajst-30170	68	31	]	]	PUNCT
ajst-30170	68	32	.	.	PUNCT
ajst-30170	69	1	2.2	2.2	NUM
ajst-30170	69	2	.	.	PUNCT
ajst-30170	69	3	data	datum	NOUN
ajst-30170	69	4	processing	process	VERB
ajst-30170	69	5	the	the	DET
ajst-30170	69	6	rational	rational	ADJ
ajst-30170	69	7	selection	selection	NOUN
ajst-30170	69	8	of	of	ADP
ajst-30170	69	9	input	input	NOUN
ajst-30170	69	10	features	feature	NOUN
ajst-30170	69	11	is	be	AUX
ajst-30170	69	12	the	the	DET
ajst-30170	69	13	key	key	NOUN
ajst-30170	69	14	to	to	ADP
ajst-30170	69	15	constructing	construct	VERB
ajst-30170	69	16	a	a	DET
ajst-30170	69	17	high	high	ADJ
ajst-30170	69	18	precision	precision	NOUN
ajst-30170	69	19	machine	machine	NOUN
ajst-30170	69	20	learning	learn	VERB
ajst-30170	69	21	model	model	NOUN
ajst-30170	69	22	.	.	PUNCT
ajst-30170	70	1	for	for	ADP
ajst-30170	70	2	the	the	DET
ajst-30170	70	3	problem	problem	NOUN
ajst-30170	70	4	of	of	ADP
ajst-30170	70	5	predicting	predict	VERB
ajst-30170	70	6	the	the	DET
ajst-30170	70	7	performance	performance	NOUN
ajst-30170	70	8	of	of	ADP
ajst-30170	70	9	grouted	grouted	ADJ
ajst-30170	70	10	steel	steel	NOUN
ajst-30170	70	11	tube	tube	NOUN
ajst-30170	70	12	sleeve	sleeve	NOUN
ajst-30170	70	13	connections	connection	NOUN
ajst-30170	70	14	,	,	PUNCT
ajst-30170	70	15	feature	feature	NOUN
ajst-30170	70	16	selection	selection	NOUN
ajst-30170	70	17	needs	need	VERB
ajst-30170	70	18	to	to	PART
ajst-30170	70	19	be	be	AUX
ajst-30170	70	20	closely	closely	ADV
ajst-30170	70	21	combined	combine	VERB
ajst-30170	70	22	with	with	ADP
ajst-30170	70	23	its	its	PRON
ajst-30170	70	24	mechanical	mechanical	ADJ
ajst-30170	70	25	mechanism	mechanism	NOUN
ajst-30170	70	26	and	and	CCONJ
ajst-30170	70	27	engineering	engineering	NOUN
ajst-30170	70	28	practice	practice	NOUN
ajst-30170	70	29	.	.	PUNCT
ajst-30170	71	1	for	for	ADP
ajst-30170	71	2	example	example	NOUN
ajst-30170	71	3	,	,	PUNCT
ajst-30170	71	4	chen	chen	PROPN
ajst-30170	71	5	haibin	haibin	PROPN
ajst-30170	71	6	,	,	PUNCT
ajst-30170	71	7	wu	wu	PROPN
ajst-30170	71	8	liwei	liwei	PROPN
ajst-30170	71	9	,	,	PUNCT
ajst-30170	71	10	and	and	CCONJ
ajst-30170	71	11	su	su	PROPN
ajst-30170	71	12	youpo	youpo	NOUN
ajst-30170	71	13	et	et	PROPN
ajst-30170	71	14	al	al	PROPN
ajst-30170	71	15	.	.	PROPN
ajst-30170	72	1	through	through	ADP
ajst-30170	72	2	the	the	DET
ajst-30170	72	3	axial	axial	ADJ
ajst-30170	72	4	tensile	tensile	NOUN
ajst-30170	72	5	performance	performance	NOUN
ajst-30170	72	6	test	test	NOUN
ajst-30170	72	7	of	of	ADP
ajst-30170	72	8	27	27	NUM
ajst-30170	72	9	full	full	ADJ
ajst-30170	72	10	scale	scale	NOUN
ajst-30170	72	11	grouted	grout	VERB
ajst-30170	72	12	steel	steel	NOUN
ajst-30170	72	13	tube	tube	NOUN
ajst-30170	72	14	sleeve	sleeve	NOUN
ajst-30170	72	15	connection	connection	NOUN
ajst-30170	72	16	specimens	specimen	NOUN
ajst-30170	72	17	of	of	ADP
ajst-30170	72	18	concrete	concrete	ADJ
ajst-30170	72	19	filled	fill	VERB
ajst-30170	72	20	steel	steel	NOUN
ajst-30170	72	21	tube	tube	NOUN
ajst-30170	72	22	columns	column	NOUN
ajst-30170	72	23	,	,	PUNCT
ajst-30170	72	24	the	the	DET
ajst-30170	72	25	influencing	influence	VERB
ajst-30170	72	26	factors	factor	NOUN
ajst-30170	72	27	of	of	ADP
ajst-30170	72	28	grouting	grout	VERB
ajst-30170	72	29	material	material	NOUN
ajst-30170	72	30	strength	strength	NOUN
ajst-30170	72	31	and	and	CCONJ
ajst-30170	72	32	connection	connection	NOUN
ajst-30170	72	33	length	length	NOUN
ajst-30170	72	34	on	on	ADP
ajst-30170	72	35	the	the	DET
ajst-30170	72	36	ultimate	ultimate	ADJ
ajst-30170	72	37	bearing	bearing	NOUN
ajst-30170	72	38	capacity	capacity	NOUN
ajst-30170	72	39	and	and	CCONJ
ajst-30170	72	40	bond	bond	NOUN
ajst-30170	72	41	strength	strength	NOUN
ajst-30170	72	42	of	of	ADP
ajst-30170	72	43	grouted	grouted	ADJ
ajst-30170	72	44	steel	steel	NOUN
ajst-30170	72	45	tube	tube	NOUN
ajst-30170	72	46	sleeve	sleeve	NOUN
ajst-30170	72	47	connection	connection	NOUN
ajst-30170	72	48	joints	joint	NOUN
ajst-30170	72	49	were	be	AUX
ajst-30170	72	50	analyzed	analyze	VERB
ajst-30170	72	51	[	[	X
ajst-30170	72	52	9	9	NUM
ajst-30170	72	53	]	]	PUNCT
ajst-30170	72	54	.	.	PUNCT
ajst-30170	73	1	it	it	PRON
ajst-30170	73	2	mainly	mainly	ADV
ajst-30170	73	3	covers	cover	VERB
ajst-30170	73	4	the	the	DET
ajst-30170	73	5	following	follow	VERB
ajst-30170	73	6	three	three	NUM
ajst-30170	73	7	categories	category	NOUN
ajst-30170	73	8	of	of	ADP
ajst-30170	73	9	parameters	parameter	NOUN
ajst-30170	73	10	:	:	PUNCT
ajst-30170	73	11	material	material	NOUN
ajst-30170	73	12	properties	property	NOUN
ajst-30170	73	13	,	,	PUNCT
ajst-30170	73	14	including	include	VERB
ajst-30170	73	15	the	the	DET
ajst-30170	73	16	compressive	compressive	ADJ
ajst-30170	73	17	strength	strength	NOUN
ajst-30170	73	18	of	of	ADP
ajst-30170	73	19	grouting	grout	VERB
ajst-30170	73	20	materials	material	NOUN
ajst-30170	73	21	,	,	PUNCT
ajst-30170	73	22	the	the	DET
ajst-30170	73	23	yield	yield	NOUN
ajst-30170	73	24	strength	strength	NOUN
ajst-30170	73	25	of	of	ADP
ajst-30170	73	26	steel	steel	NOUN
ajst-30170	73	27	bars	bar	NOUN
ajst-30170	73	28	,	,	PUNCT
ajst-30170	73	29	and	and	CCONJ
ajst-30170	73	30	the	the	DET
ajst-30170	73	31	elastic	elastic	ADJ
ajst-30170	73	32	modulus	modulus	NOUN
ajst-30170	73	33	of	of	ADP
ajst-30170	73	34	sleeve	sleeve	NOUN
ajst-30170	73	35	steel	steel	NOUN
ajst-30170	73	36	;	;	PUNCT
ajst-30170	73	37	geometric	geometric	ADJ
ajst-30170	73	38	parameters	parameter	NOUN
ajst-30170	73	39	,	,	PUNCT
ajst-30170	73	40	including	include	VERB
ajst-30170	73	41	the	the	DET
ajst-30170	73	42	ratio	ratio	NOUN
ajst-30170	73	43	of	of	ADP
ajst-30170	73	44	sleeve	sleeve	NOUN
ajst-30170	73	45	wall	wall	NOUN
ajst-30170	73	46	thickness	thickness	NOUN
ajst-30170	73	47	to	to	ADP
ajst-30170	73	48	inner	inner	ADJ
ajst-30170	73	49	diameter	diameter	NOUN
ajst-30170	73	50	,	,	PUNCT
ajst-30170	73	51	anchorage	anchorage	PROPN
ajst-30170	73	52	length	length	NOUN
ajst-30170	73	53	,	,	PUNCT
ajst-30170	73	54	and	and	CCONJ
ajst-30170	73	55	steel	steel	NOUN
ajst-30170	73	56	bar	bar	NOUN
ajst-30170	73	57	diameter	diameter	NOUN
ajst-30170	73	58	;	;	PUNCT
ajst-30170	73	59	environmental	environmental	ADJ
ajst-30170	73	60	variables	variable	NOUN
ajst-30170	73	61	:	:	PUNCT
ajst-30170	73	62	temperature	temperature	NOUN
ajst-30170	73	63	(	(	PUNCT
ajst-30170	73	64	related	relate	VERB
ajst-30170	73	65	to	to	ADP
ajst-30170	73	66	the	the	DET
ajst-30170	73	67	curing	cure	VERB
ajst-30170	73	68	rate	rate	NOUN
ajst-30170	73	69	and	and	CCONJ
ajst-30170	73	70	final	final	ADJ
ajst-30170	73	71	strength	strength	NOUN
ajst-30170	73	72	of	of	ADP
ajst-30170	73	73	grouting	grout	VERB
ajst-30170	73	74	materials	material	NOUN
ajst-30170	73	75	)	)	PUNCT
ajst-30170	73	76	and	and	CCONJ
ajst-30170	73	77	humidity	humidity	NOUN
ajst-30170	73	78	(	(	PUNCT
ajst-30170	73	79	the	the	DET
ajst-30170	73	80	risk	risk	NOUN
ajst-30170	73	81	of	of	ADP
ajst-30170	73	82	corrosion	corrosion	NOUN
ajst-30170	73	83	affects	affect	VERB
ajst-30170	73	84	the	the	DET
ajst-30170	73	85	long	long	ADJ
ajst-30170	73	86	term	term	NOUN
ajst-30170	73	87	performance	performance	NOUN
ajst-30170	73	88	of	of	ADP
ajst-30170	73	89	the	the	DET
ajst-30170	73	90	interface	interface	NOUN
ajst-30170	73	91	)	)	PUNCT
ajst-30170	73	92	.	.	PUNCT
ajst-30170	74	1	these	these	PRON
ajst-30170	74	2	features	feature	VERB
ajst-30170	74	3	together	together	ADV
ajst-30170	74	4	construct	construct	VERB
ajst-30170	74	5	a	a	DET
ajst-30170	74	6	multi	multi	ADJ
ajst-30170	74	7	dimensional	dimensional	ADJ
ajst-30170	74	8	input	input	NOUN
ajst-30170	74	9	space	space	NOUN
ajst-30170	74	10	,	,	PUNCT
ajst-30170	74	11	laying	lay	VERB
ajst-30170	74	12	the	the	DET
ajst-30170	74	13	foundation	foundation	NOUN
ajst-30170	74	14	for	for	ADP
ajst-30170	74	15	machine	machine	NOUN
ajst-30170	74	16	learning	learn	VERB
ajst-30170	74	17	to	to	PART
ajst-30170	74	18	capture	capture	VERB
ajst-30170	74	19	complex	complex	ADJ
ajst-30170	74	20	parameter	parameter	NOUN
ajst-30170	74	21	coupling	coupling	NOUN
ajst-30170	74	22	effects	effect	NOUN
ajst-30170	74	23	.	.	PUNCT
ajst-30170	75	1	to	to	PART
ajst-30170	75	2	improve	improve	VERB
ajst-30170	75	3	the	the	DET
ajst-30170	75	4	robustness	robustness	NOUN
ajst-30170	75	5	and	and	CCONJ
ajst-30170	75	6	generalization	generalization	NOUN
ajst-30170	75	7	ability	ability	NOUN
ajst-30170	75	8	of	of	ADP
ajst-30170	75	9	machine	machine	NOUN
ajst-30170	75	10	learning	learning	NOUN
ajst-30170	75	11	models	model	NOUN
ajst-30170	75	12	,	,	PUNCT
ajst-30170	75	13	it	it	PRON
ajst-30170	75	14	is	be	AUX
ajst-30170	75	15	necessary	necessary	ADJ
ajst-30170	75	16	to	to	PART
ajst-30170	75	17	systematically	systematically	ADV
ajst-30170	75	18	preprocess	preprocess	VERB
ajst-30170	75	19	the	the	DET
ajst-30170	75	20	original	original	ADJ
ajst-30170	75	21	data	datum	NOUN
ajst-30170	75	22	.	.	PUNCT
ajst-30170	76	1	normalization	normalization	NOUN
ajst-30170	76	2	:	:	PUNCT
ajst-30170	76	3	min	min	PROPN
ajst-30170	76	4	max	max	PROPN
ajst-30170	76	5	normalization	normalization	NOUN
ajst-30170	76	6	is	be	AUX
ajst-30170	76	7	used	use	VERB
ajst-30170	76	8	to	to	PART
ajst-30170	76	9	eliminate	eliminate	VERB
ajst-30170	76	10	the	the	DET
ajst-30170	76	11	difference	difference	NOUN
ajst-30170	76	12	in	in	ADP
ajst-30170	76	13	dimensions	dimension	NOUN
ajst-30170	76	14	.	.	PUNCT
ajst-30170	77	1	for	for	ADP
ajst-30170	77	2	example	example	NOUN
ajst-30170	77	3	,	,	PUNCT
ajst-30170	77	4	the	the	DET
ajst-30170	77	5	sleeve	sleeve	NOUN
ajst-30170	77	6	wall	wall	NOUN
ajst-30170	77	7	thickness	thickness	NOUN
ajst-30170	77	8	(	(	PUNCT
ajst-30170	77	9	range	range	NOUN
ajst-30170	77	10	5	5	NUM
ajst-30170	77	11	15	15	NUM
ajst-30170	77	12	mm	mm	NOUN
ajst-30170	77	13	)	)	PUNCT
ajst-30170	77	14	and	and	CCONJ
ajst-30170	77	15	grouting	grout	VERB
ajst-30170	77	16	material	material	NOUN
ajst-30170	77	17	strength	strength	NOUN
ajst-30170	77	18	(	(	PUNCT
ajst-30170	77	19	20	20	NUM
ajst-30170	77	20	80mpa	80mpa	NOUN
ajst-30170	77	21	)	)	PUNCT
ajst-30170	77	22	are	be	AUX
ajst-30170	77	23	mapped	map	VERB
ajst-30170	77	24	to	to	ADP
ajst-30170	77	25	the	the	DET
ajst-30170	77	26	[	[	NOUN
ajst-30170	77	27	0,1	0,1	NUM
ajst-30170	77	28	]	]	PUNCT
ajst-30170	77	29	interval	interval	NOUN
ajst-30170	77	30	to	to	PART
ajst-30170	77	31	avoid	avoid	VERB
ajst-30170	77	32	the	the	DET
ajst-30170	77	33	interference	interference	NOUN
ajst-30170	77	34	of	of	ADP
ajst-30170	77	35	numerical	numerical	ADJ
ajst-30170	77	36	scale	scale	NOUN
ajst-30170	77	37	differences	difference	NOUN
ajst-30170	77	38	on	on	ADP
ajst-30170	77	39	model	model	NOUN
ajst-30170	77	40	training	training	NOUN
ajst-30170	77	41	;	;	PUNCT
ajst-30170	77	42	outlier	outlier	NOUN
ajst-30170	77	43	32	32	NUM
ajst-30170	77	44	removal	removal	NOUN
ajst-30170	77	45	:	:	PUNCT
ajst-30170	77	46	based	base	VERB
ajst-30170	77	47	on	on	ADP
ajst-30170	77	48	the	the	DET
ajst-30170	77	49	3σ	3σ	NUM
ajst-30170	77	50	criterion	criterion	NOUN
ajst-30170	77	51	for	for	ADP
ajst-30170	77	52	normal	normal	ADJ
ajst-30170	77	53	distribution	distribution	NOUN
ajst-30170	77	54	parameters	parameter	NOUN
ajst-30170	77	55	(	(	PUNCT
ajst-30170	77	56	such	such	ADJ
ajst-30170	77	57	as	as	ADP
ajst-30170	77	58	the	the	DET
ajst-30170	77	59	yield	yield	NOUN
ajst-30170	77	60	strength	strength	NOUN
ajst-30170	77	61	of	of	ADP
ajst-30170	77	62	steel	steel	NOUN
ajst-30170	77	63	bars	bar	NOUN
ajst-30170	77	64	)	)	PUNCT
ajst-30170	77	65	,	,	PUNCT
ajst-30170	77	66	or	or	CCONJ
ajst-30170	77	67	the	the	DET
ajst-30170	77	68	isolation	isolation	NOUN
ajst-30170	77	69	forest	forest	NOUN
ajst-30170	77	70	algorithm	algorithm	NOUN
ajst-30170	77	71	is	be	AUX
ajst-30170	77	72	used	use	VERB
ajst-30170	77	73	to	to	PART
ajst-30170	77	74	identify	identify	VERB
ajst-30170	77	75	abnormal	abnormal	ADJ
ajst-30170	77	76	samples	sample	NOUN
ajst-30170	77	77	in	in	ADP
ajst-30170	77	78	high	high	ADJ
ajst-30170	77	79	dimensional	dimensional	ADJ
ajst-30170	77	80	non	non	ADJ
ajst-30170	77	81	linear	linear	PROPN
ajst-30170	77	82	data	datum	NOUN
ajst-30170	77	83	(	(	PUNCT
ajst-30170	77	84	such	such	ADJ
ajst-30170	77	85	as	as	ADP
ajst-30170	77	86	abnormal	abnormal	ADJ
ajst-30170	77	87	load	load	NOUN
ajst-30170	77	88	values	value	NOUN
ajst-30170	77	89	caused	cause	VERB
ajst-30170	77	90	by	by	ADP
ajst-30170	77	91	sensor	sensor	NOUN
ajst-30170	77	92	failures	failure	NOUN
ajst-30170	77	93	in	in	ADP
ajst-30170	77	94	experiments	experiment	NOUN
ajst-30170	77	95	)	)	PUNCT
ajst-30170	77	96	;	;	PUNCT
ajst-30170	77	97	imbalanced	imbalanced	ADJ
ajst-30170	77	98	data	datum	NOUN
ajst-30170	77	99	enhancement	enhancement	NOUN
ajst-30170	77	100	:	:	PUNCT
ajst-30170	77	101	for	for	ADP
ajst-30170	77	102	the	the	DET
ajst-30170	77	103	imbalance	imbalance	NOUN
ajst-30170	77	104	of	of	ADP
ajst-30170	77	105	failure	failure	NOUN
ajst-30170	77	106	mode	mode	NOUN
ajst-30170	77	107	samples	sample	NOUN
ajst-30170	77	108	(	(	PUNCT
ajst-30170	77	109	such	such	ADJ
ajst-30170	77	110	as	as	ADP
ajst-30170	77	111	"	"	PUNCT
ajst-30170	77	112	steel	steel	NOUN
ajst-30170	77	113	bar	bar	NOUN
ajst-30170	77	114	pull	pull	VERB
ajst-30170	77	115	out	out	ADP
ajst-30170	77	116	"	"	PUNCT
ajst-30170	77	117	samples	sample	NOUN
ajst-30170	77	118	accounting	account	VERB
ajst-30170	77	119	for	for	ADP
ajst-30170	77	120	70	70	NUM
ajst-30170	77	121	%	%	NOUN
ajst-30170	77	122	and	and	CCONJ
ajst-30170	77	123	"	"	PUNCT
ajst-30170	77	124	sleeve	sleeve	NOUN
ajst-30170	77	125	buckling	buckling	NOUN
ajst-30170	77	126	"	"	PUNCT
ajst-30170	77	127	only	only	ADV
ajst-30170	77	128	accounting	account	VERB
ajst-30170	77	129	for	for	ADP
ajst-30170	77	130	10	10	NUM
ajst-30170	77	131	%	%	NOUN
ajst-30170	77	132	)	)	PUNCT
ajst-30170	77	133	,	,	PUNCT
ajst-30170	77	134	the	the	DET
ajst-30170	77	135	smote	smote	NOUN
ajst-30170	77	136	(	(	PUNCT
ajst-30170	77	137	synthetic	synthetic	ADJ
ajst-30170	77	138	minority	minority	NOUN
ajst-30170	77	139	over	over	ADP
ajst-30170	77	140	sampling	sample	VERB
ajst-30170	77	141	technique	technique	NOUN
ajst-30170	77	142	)	)	PUNCT
ajst-30170	77	143	oversampling	oversample	VERB
ajst-30170	77	144	technology	technology	NOUN
ajst-30170	77	145	is	be	AUX
ajst-30170	77	146	used	use	VERB
ajst-30170	77	147	to	to	PART
ajst-30170	77	148	generate	generate	VERB
ajst-30170	77	149	synthetic	synthetic	ADJ
ajst-30170	77	150	samples	sample	NOUN
ajst-30170	77	151	of	of	ADP
ajst-30170	77	152	minority	minority	NOUN
ajst-30170	77	153	classes	class	NOUN
ajst-30170	77	154	through	through	ADP
ajst-30170	77	155	interpolation	interpolation	NOUN
ajst-30170	77	156	.	.	PUNCT
ajst-30170	78	1	at	at	ADP
ajst-30170	78	2	the	the	DET
ajst-30170	78	3	same	same	ADJ
ajst-30170	78	4	time	time	NOUN
ajst-30170	78	5	,	,	PUNCT
ajst-30170	78	6	cross	cross	NOUN
ajst-30170	78	7	validation	validation	NOUN
ajst-30170	78	8	is	be	AUX
ajst-30170	78	9	needed	need	VERB
ajst-30170	78	10	to	to	PART
ajst-30170	78	11	avoid	avoid	VERB
ajst-30170	78	12	overfitting	overfitte	VERB
ajst-30170	78	13	[	[	X
ajst-30170	78	14	10	10	NUM
ajst-30170	78	15	]	]	PUNCT
ajst-30170	78	16	.	.	PUNCT
ajst-30170	79	1	3	3	X
ajst-30170	79	2	.	.	X
ajst-30170	79	3	application	application	NOUN
ajst-30170	79	4	of	of	ADP
ajst-30170	79	5	single	single	ADJ
ajst-30170	79	6	machine	machine	NOUN
ajst-30170	79	7	learning	learn	VERB
ajst-30170	79	8	algorithms	algorithm	NOUN
ajst-30170	79	9	in	in	ADP
ajst-30170	79	10	predicting	predict	VERB
ajst-30170	79	11	the	the	DET
ajst-30170	79	12	performance	performance	NOUN
ajst-30170	79	13	of	of	ADP
ajst-30170	79	14	grouted	grouted	ADJ
ajst-30170	79	15	sleeve	sleeve	NOUN
ajst-30170	79	16	connections	connection	NOUN
ajst-30170	79	17	3.1	3.1	NUM
ajst-30170	79	18	.	.	PUNCT
ajst-30170	80	1	logistic	logistic	ADJ
ajst-30170	80	2	regression	regression	NOUN
ajst-30170	80	3	(	(	PUNCT
ajst-30170	80	4	lr	lr	NOUN
ajst-30170	80	5	)	)	PUNCT
ajst-30170	80	6	logistic	logistic	ADJ
ajst-30170	80	7	regression	regression	NOUN
ajst-30170	80	8	is	be	AUX
ajst-30170	80	9	a	a	DET
ajst-30170	80	10	probability	probability	NOUN
ajst-30170	80	11	based	base	VERB
ajst-30170	80	12	classification	classification	NOUN
ajst-30170	80	13	method	method	NOUN
ajst-30170	80	14	.	.	PUNCT
ajst-30170	81	1	its	its	PRON
ajst-30170	81	2	core	core	ADJ
ajst-30170	81	3	goal	goal	NOUN
ajst-30170	81	4	is	be	AUX
ajst-30170	81	5	to	to	PART
ajst-30170	81	6	predict	predict	VERB
ajst-30170	81	7	the	the	DET
ajst-30170	81	8	probability	probability	NOUN
ajst-30170	81	9	that	that	SCONJ
ajst-30170	81	10	a	a	DET
ajst-30170	81	11	sample	sample	NOUN
ajst-30170	81	12	belongs	belong	VERB
ajst-30170	81	13	to	to	ADP
ajst-30170	81	14	a	a	DET
ajst-30170	81	15	specific	specific	ADJ
ajst-30170	81	16	category	category	NOUN
ajst-30170	81	17	through	through	ADP
ajst-30170	81	18	the	the	DET
ajst-30170	81	19	combination	combination	NOUN
ajst-30170	81	20	of	of	ADP
ajst-30170	81	21	a	a	DET
ajst-30170	81	22	linear	linear	ADJ
ajst-30170	81	23	model	model	NOUN
ajst-30170	81	24	and	and	CCONJ
ajst-30170	81	25	a	a	DET
ajst-30170	81	26	non	non	ADJ
ajst-30170	81	27	linear	linear	PROPN
ajst-30170	81	28	transformation	transformation	NOUN
ajst-30170	81	29	.	.	PUNCT
ajst-30170	82	1	in	in	ADP
ajst-30170	82	2	binary	binary	ADJ
ajst-30170	82	3	classification	classification	NOUN
ajst-30170	82	4	problems	problem	NOUN
ajst-30170	82	5	,	,	PUNCT
ajst-30170	82	6	logistic	logistic	ADJ
ajst-30170	82	7	regression	regression	NOUN
ajst-30170	82	8	assumes	assume	VERB
ajst-30170	82	9	a	a	DET
ajst-30170	82	10	linear	linear	ADJ
ajst-30170	82	11	relationship	relationship	NOUN
ajst-30170	82	12	between	between	ADP
ajst-30170	82	13	features	feature	NOUN
ajst-30170	82	14	and	and	CCONJ
ajst-30170	82	15	class	class	NOUN
ajst-30170	82	16	probabilities	probability	NOUN
ajst-30170	82	17	,	,	PUNCT
ajst-30170	82	18	but	but	CCONJ
ajst-30170	82	19	its	its	PRON
ajst-30170	82	20	output	output	NOUN
ajst-30170	82	21	is	be	AUX
ajst-30170	82	22	mapped	map	VERB
ajst-30170	82	23	to	to	ADP
ajst-30170	82	24	the	the	DET
ajst-30170	82	25	[	[	NOUN
ajst-30170	82	26	0,1	0,1	NUM
ajst-30170	82	27	]	]	PUNCT
ajst-30170	82	28	interval	interval	NOUN
ajst-30170	82	29	through	through	ADP
ajst-30170	82	30	the	the	DET
ajst-30170	82	31	sigmoid	sigmoid	NOUN
ajst-30170	82	32	function	function	NOUN
ajst-30170	82	33	,	,	PUNCT
ajst-30170	82	34	thus	thus	ADV
ajst-30170	82	35	transforming	transform	VERB
ajst-30170	82	36	the	the	DET
ajst-30170	82	37	linear	linear	ADJ
ajst-30170	82	38	combination	combination	NOUN
ajst-30170	82	39	into	into	ADP
ajst-30170	82	40	a	a	DET
ajst-30170	82	41	probability	probability	NOUN
ajst-30170	82	42	value	value	NOUN
ajst-30170	82	43	.	.	PUNCT
ajst-30170	83	1	specifically	specifically	ADV
ajst-30170	83	2	,	,	PUNCT
ajst-30170	83	3	the	the	DET
ajst-30170	83	4	input	input	NOUN
ajst-30170	83	5	features	feature	NOUN
ajst-30170	83	6	of	of	ADP
ajst-30170	83	7	the	the	DET
ajst-30170	83	8	model	model	NOUN
ajst-30170	83	9	generate	generate	VERB
ajst-30170	83	10	an	an	DET
ajst-30170	83	11	intermediate	intermediate	ADJ
ajst-30170	83	12	value	value	NOUN
ajst-30170	83	13	through	through	ADP
ajst-30170	83	14	the	the	DET
ajst-30170	83	15	linear	linear	ADJ
ajst-30170	83	16	combination	combination	NOUN
ajst-30170	83	17	of	of	ADP
ajst-30170	83	18	weights	weight	NOUN
ajst-30170	83	19	and	and	CCONJ
ajst-30170	83	20	biases	bias	NOUN
ajst-30170	83	21	(	(	PUNCT
ajst-30170	83	22	i.e.	i.e.	X
ajst-30170	83	23	,𝑤	,𝑤	PUNCT
ajst-30170	83	24	𝑥	𝑥	PRON
ajst-30170	83	25	𝑏	𝑏	NOUN
ajst-30170	83	26	)	)	PUNCT
ajst-30170	83	27	,	,	PUNCT
ajst-30170	83	28	and	and	CCONJ
ajst-30170	83	29	then	then	ADV
ajst-30170	83	30	the	the	DET
ajst-30170	83	31	probability	probability	NOUN
ajst-30170	83	32	that	that	SCONJ
ajst-30170	83	33	the	the	DET
ajst-30170	83	34	sample	sample	NOUN
ajst-30170	83	35	belongs	belong	VERB
ajst-30170	83	36	to	to	ADP
ajst-30170	83	37	the	the	DET
ajst-30170	83	38	positive	positive	ADJ
ajst-30170	83	39	class	class	NOUN
ajst-30170	83	40	is	be	AUX
ajst-30170	83	41	calculated	calculate	VERB
ajst-30170	83	42	through	through	ADP
ajst-30170	83	43	the	the	DET
ajst-30170	83	44	sigmoid	sigmoid	NOUN
ajst-30170	83	45	function	function	NOUN
ajst-30170	83	46	.	.	PUNCT
ajst-30170	84	1	when	when	SCONJ
ajst-30170	84	2	the	the	DET
ajst-30170	84	3	probability	probability	NOUN
ajst-30170	84	4	exceeds	exceed	VERB
ajst-30170	84	5	0.5	0.5	NUM
ajst-30170	84	6	,	,	PUNCT
ajst-30170	84	7	the	the	DET
ajst-30170	84	8	model	model	NOUN
ajst-30170	84	9	determines	determine	VERB
ajst-30170	84	10	that	that	SCONJ
ajst-30170	84	11	the	the	DET
ajst-30170	84	12	sample	sample	NOUN
ajst-30170	84	13	is	be	AUX
ajst-30170	84	14	a	a	DET
ajst-30170	84	15	positive	positive	ADJ
ajst-30170	84	16	class	class	NOUN
ajst-30170	84	17	;	;	PUNCT
ajst-30170	84	18	otherwise	otherwise	ADV
ajst-30170	84	19	,	,	PUNCT
ajst-30170	84	20	it	it	PRON
ajst-30170	84	21	is	be	AUX
ajst-30170	84	22	a	a	DET
ajst-30170	84	23	negative	negative	ADJ
ajst-30170	84	24	class	class	NOUN
ajst-30170	84	25	.	.	PUNCT
ajst-30170	85	1	its	its	PRON
ajst-30170	85	2	decision	decision	NOUN
ajst-30170	85	3	boundary	boundary	NOUN
ajst-30170	85	4	is	be	AUX
ajst-30170	85	5	essentially	essentially	ADV
ajst-30170	85	6	a	a	DET
ajst-30170	85	7	hyperplane	hyperplane	NOUN
ajst-30170	85	8	in	in	ADP
ajst-30170	85	9	the	the	DET
ajst-30170	85	10	feature	feature	NOUN
ajst-30170	85	11	space	space	NOUN
ajst-30170	85	12	.	.	PUNCT
ajst-30170	86	1	for	for	ADP
ajst-30170	86	2	the	the	DET
ajst-30170	86	3	training	training	NOUN
ajst-30170	86	4	of	of	ADP
ajst-30170	86	5	the	the	DET
ajst-30170	86	6	model	model	NOUN
ajst-30170	86	7	,	,	PUNCT
ajst-30170	86	8	the	the	DET
ajst-30170	86	9	cross	cross	NOUN
ajst-30170	86	10	entropy	entropy	PROPN
ajst-30170	86	11	loss	loss	NOUN
ajst-30170	86	12	function	function	NOUN
ajst-30170	86	13	serves	serve	VERB
ajst-30170	86	14	as	as	ADP
ajst-30170	86	15	the	the	DET
ajst-30170	86	16	basis	basis	NOUN
ajst-30170	86	17	.	.	PUNCT
ajst-30170	87	1	the	the	DET
ajst-30170	87	2	gradient	gradient	ADJ
ajst-30170	87	3	descent	descent	NOUN
ajst-30170	87	4	method	method	NOUN
ajst-30170	87	5	is	be	AUX
ajst-30170	87	6	adopted	adopt	VERB
ajst-30170	87	7	to	to	PART
ajst-30170	87	8	carry	carry	VERB
ajst-30170	87	9	out	out	ADP
ajst-30170	87	10	the	the	DET
ajst-30170	87	11	optimization	optimization	NOUN
ajst-30170	87	12	of	of	ADP
ajst-30170	87	13	parameters	parameter	NOUN
ajst-30170	87	14	.	.	PUNCT
ajst-30170	88	1	this	this	PRON
ajst-30170	88	2	is	be	AUX
ajst-30170	88	3	done	do	VERB
ajst-30170	88	4	to	to	PART
ajst-30170	88	5	reduce	reduce	VERB
ajst-30170	88	6	the	the	DET
ajst-30170	88	7	gap	gap	NOUN
ajst-30170	88	8	between	between	ADP
ajst-30170	88	9	the	the	DET
ajst-30170	88	10	predicted	predict	VERB
ajst-30170	88	11	probability	probability	NOUN
ajst-30170	88	12	and	and	CCONJ
ajst-30170	88	13	the	the	DET
ajst-30170	88	14	real	real	ADJ
ajst-30170	88	15	label	label	NOUN
ajst-30170	88	16	to	to	ADP
ajst-30170	88	17	the	the	DET
ajst-30170	88	18	minimum	minimum	NOUN
ajst-30170	88	19	.	.	PUNCT
ajst-30170	89	1	the	the	DET
ajst-30170	89	2	advantage	advantage	NOUN
ajst-30170	89	3	of	of	ADP
ajst-30170	89	4	logistic	logistic	ADJ
ajst-30170	89	5	regression	regression	NOUN
ajst-30170	89	6	is	be	AUX
ajst-30170	89	7	that	that	SCONJ
ajst-30170	89	8	its	its	PRON
ajst-30170	89	9	output	output	NOUN
ajst-30170	89	10	has	have	VERB
ajst-30170	89	11	a	a	DET
ajst-30170	89	12	probabilistic	probabilistic	ADJ
ajst-30170	89	13	meaning	meaning	NOUN
ajst-30170	89	14	,	,	PUNCT
ajst-30170	89	15	and	and	CCONJ
ajst-30170	89	16	the	the	DET
ajst-30170	89	17	weight	weight	NOUN
ajst-30170	89	18	coefficients	coefficient	NOUN
ajst-30170	89	19	can	can	AUX
ajst-30170	89	20	directly	directly	ADV
ajst-30170	89	21	reflect	reflect	VERB
ajst-30170	89	22	the	the	DET
ajst-30170	89	23	influence	influence	NOUN
ajst-30170	89	24	degree	degree	NOUN
ajst-30170	89	25	of	of	ADP
ajst-30170	89	26	each	each	DET
ajst-30170	89	27	feature	feature	NOUN
ajst-30170	89	28	on	on	ADP
ajst-30170	89	29	the	the	DET
ajst-30170	89	30	classification	classification	NOUN
ajst-30170	89	31	result	result	NOUN
ajst-30170	89	32	,	,	PUNCT
ajst-30170	89	33	which	which	PRON
ajst-30170	89	34	is	be	AUX
ajst-30170	89	35	suitable	suitable	ADJ
ajst-30170	89	36	for	for	ADP
ajst-30170	89	37	scenarios	scenario	NOUN
ajst-30170	89	38	with	with	ADP
ajst-30170	89	39	high	high	ADJ
ajst-30170	89	40	requirements	requirement	NOUN
ajst-30170	89	41	for	for	ADP
ajst-30170	89	42	interpretability	interpretability	NOUN
ajst-30170	89	43	.	.	PUNCT
ajst-30170	90	1	regarding	regard	VERB
ajst-30170	90	2	the	the	DET
ajst-30170	90	3	prediction	prediction	NOUN
ajst-30170	90	4	of	of	ADP
ajst-30170	90	5	the	the	DET
ajst-30170	90	6	performance	performance	NOUN
ajst-30170	90	7	of	of	ADP
ajst-30170	90	8	grouted	grouted	ADJ
ajst-30170	90	9	sleeve	sleeve	NOUN
ajst-30170	90	10	connections	connection	NOUN
ajst-30170	90	11	,	,	PUNCT
ajst-30170	90	12	a	a	DET
ajst-30170	90	13	prediction	prediction	NOUN
ajst-30170	90	14	model	model	NOUN
ajst-30170	90	15	founded	found	VERB
ajst-30170	90	16	on	on	ADP
ajst-30170	90	17	logistic	logistic	ADJ
ajst-30170	90	18	regression	regression	NOUN
ajst-30170	90	19	can	can	AUX
ajst-30170	90	20	be	be	AUX
ajst-30170	90	21	established	establish	VERB
ajst-30170	90	22	by	by	ADP
ajst-30170	90	23	means	mean	NOUN
ajst-30170	90	24	of	of	ADP
ajst-30170	90	25	historical	historical	ADJ
ajst-30170	90	26	experimental	experimental	ADJ
ajst-30170	90	27	data	datum	NOUN
ajst-30170	90	28	or	or	CCONJ
ajst-30170	90	29	engineering	engineering	NOUN
ajst-30170	90	30	monitoring	monitoring	NOUN
ajst-30170	90	31	data	datum	NOUN
ajst-30170	90	32	.	.	PUNCT
ajst-30170	91	1	the	the	DET
ajst-30170	91	2	input	input	NOUN
ajst-30170	91	3	features	feature	NOUN
ajst-30170	91	4	include	include	VERB
ajst-30170	91	5	grouting	grout	VERB
ajst-30170	91	6	material	material	NOUN
ajst-30170	91	7	strength	strength	NOUN
ajst-30170	91	8	,	,	PUNCT
ajst-30170	91	9	sleeve	sleeve	ADJ
ajst-30170	91	10	geometric	geometric	ADJ
ajst-30170	91	11	dimensions	dimension	NOUN
ajst-30170	91	12	,	,	PUNCT
ajst-30170	91	13	environmental	environmental	ADJ
ajst-30170	91	14	temperature	temperature	NOUN
ajst-30170	91	15	and	and	CCONJ
ajst-30170	91	16	humidity	humidity	NOUN
ajst-30170	91	17	,	,	PUNCT
ajst-30170	91	18	and	and	CCONJ
ajst-30170	91	19	construction	construction	NOUN
ajst-30170	91	20	parameters	parameter	NOUN
ajst-30170	91	21	(	(	PUNCT
ajst-30170	91	22	such	such	ADJ
ajst-30170	91	23	as	as	ADP
ajst-30170	91	24	grouting	grout	VERB
ajst-30170	91	25	pressure	pressure	NOUN
ajst-30170	91	26	and	and	CCONJ
ajst-30170	91	27	curing	cure	VERB
ajst-30170	91	28	time	time	NOUN
ajst-30170	91	29	)	)	PUNCT
ajst-30170	91	30	,	,	PUNCT
ajst-30170	91	31	and	and	CCONJ
ajst-30170	91	32	the	the	DET
ajst-30170	91	33	output	output	NOUN
ajst-30170	91	34	is	be	AUX
ajst-30170	91	35	a	a	DET
ajst-30170	91	36	binary	binary	ADJ
ajst-30170	91	37	classification	classification	NOUN
ajst-30170	91	38	label	label	NOUN
ajst-30170	91	39	(	(	PUNCT
ajst-30170	91	40	qualified	qualified	ADJ
ajst-30170	91	41	/	/	SYM
ajst-30170	91	42	unqualified	unqualified	ADJ
ajst-30170	91	43	)	)	PUNCT
ajst-30170	91	44	.	.	PUNCT
ajst-30170	92	1	when	when	SCONJ
ajst-30170	92	2	training	train	VERB
ajst-30170	92	3	the	the	DET
ajst-30170	92	4	model	model	NOUN
ajst-30170	92	5	,	,	PUNCT
ajst-30170	92	6	the	the	DET
ajst-30170	92	7	data	datum	NOUN
ajst-30170	92	8	needs	need	VERB
ajst-30170	92	9	to	to	PART
ajst-30170	92	10	be	be	AUX
ajst-30170	92	11	standardized	standardize	VERB
ajst-30170	92	12	,	,	PUNCT
ajst-30170	92	13	and	and	CCONJ
ajst-30170	92	14	regularization	regularization	NOUN
ajst-30170	92	15	techniques	technique	NOUN
ajst-30170	92	16	(	(	PUNCT
ajst-30170	92	17	such	such	ADJ
ajst-30170	92	18	as	as	ADP
ajst-30170	92	19	l2	l2	NOUN
ajst-30170	92	20	regularization	regularization	NOUN
ajst-30170	92	21	)	)	PUNCT
ajst-30170	92	22	are	be	AUX
ajst-30170	92	23	used	use	VERB
ajst-30170	92	24	to	to	PART
ajst-30170	92	25	avoid	avoid	VERB
ajst-30170	92	26	overfitting	overfitte	VERB
ajst-30170	92	27	.	.	PUNCT
ajst-30170	93	1	in	in	ADP
ajst-30170	93	2	engineering	engineering	NOUN
ajst-30170	93	3	applications	application	NOUN
ajst-30170	93	4	,	,	PUNCT
ajst-30170	93	5	the	the	DET
ajst-30170	93	6	prediction	prediction	NOUN
ajst-30170	93	7	results	result	NOUN
ajst-30170	93	8	of	of	ADP
ajst-30170	93	9	the	the	DET
ajst-30170	93	10	model	model	NOUN
ajst-30170	93	11	can	can	AUX
ajst-30170	93	12	quickly	quickly	ADV
ajst-30170	93	13	screen	screen	VERB
ajst-30170	93	14	potential	potential	ADJ
ajst-30170	93	15	unqualified	unqualified	ADJ
ajst-30170	93	16	connections	connection	NOUN
ajst-30170	93	17	and	and	CCONJ
ajst-30170	93	18	guide	guide	VERB
ajst-30170	93	19	key	key	ADJ
ajst-30170	93	20	re	re	NOUN
ajst-30170	93	21	inspections	inspection	NOUN
ajst-30170	93	22	on	on	ADP
ajst-30170	93	23	site	site	NOUN
ajst-30170	93	24	,	,	PUNCT
ajst-30170	93	25	thereby	thereby	ADV
ajst-30170	93	26	reducing	reduce	VERB
ajst-30170	93	27	the	the	DET
ajst-30170	93	28	risk	risk	NOUN
ajst-30170	93	29	of	of	ADP
ajst-30170	93	30	missed	miss	VERB
ajst-30170	93	31	inspections	inspection	NOUN
ajst-30170	93	32	.	.	PUNCT
ajst-30170	94	1	for	for	ADP
ajst-30170	94	2	example	example	NOUN
ajst-30170	94	3	,	,	PUNCT
ajst-30170	94	4	if	if	SCONJ
ajst-30170	94	5	the	the	DET
ajst-30170	94	6	weight	weight	NOUN
ajst-30170	94	7	coefficient	coefficient	NOUN
ajst-30170	94	8	of	of	ADP
ajst-30170	94	9	grouting	grout	VERB
ajst-30170	94	10	compactness	compactness	NOUN
ajst-30170	94	11	is	be	AUX
ajst-30170	94	12	significantly	significantly	ADV
ajst-30170	94	13	higher	high	ADJ
ajst-30170	94	14	than	than	ADP
ajst-30170	94	15	other	other	ADJ
ajst-30170	94	16	features	feature	NOUN
ajst-30170	94	17	,	,	PUNCT
ajst-30170	94	18	it	it	PRON
ajst-30170	94	19	indicates	indicate	VERB
ajst-30170	94	20	that	that	SCONJ
ajst-30170	94	21	this	this	DET
ajst-30170	94	22	parameter	parameter	NOUN
ajst-30170	94	23	is	be	AUX
ajst-30170	94	24	a	a	DET
ajst-30170	94	25	key	key	ADJ
ajst-30170	94	26	factor	factor	NOUN
ajst-30170	94	27	affecting	affect	VERB
ajst-30170	94	28	the	the	DET
ajst-30170	94	29	connection	connection	NOUN
ajst-30170	94	30	performance	performance	NOUN
ajst-30170	94	31	and	and	CCONJ
ajst-30170	94	32	needs	need	VERB
ajst-30170	94	33	to	to	PART
ajst-30170	94	34	be	be	AUX
ajst-30170	94	35	strictly	strictly	ADV
ajst-30170	94	36	controlled	control	VERB
ajst-30170	94	37	during	during	ADP
ajst-30170	94	38	construction	construction	NOUN
ajst-30170	94	39	.	.	PUNCT
ajst-30170	95	1	however	however	ADV
ajst-30170	95	2	,	,	PUNCT
ajst-30170	95	3	the	the	DET
ajst-30170	95	4	linear	linear	ADJ
ajst-30170	95	5	assumption	assumption	NOUN
ajst-30170	95	6	of	of	ADP
ajst-30170	95	7	logistic	logistic	ADJ
ajst-30170	95	8	regression	regression	NOUN
ajst-30170	95	9	may	may	AUX
ajst-30170	95	10	not	not	PART
ajst-30170	95	11	be	be	AUX
ajst-30170	95	12	able	able	ADJ
ajst-30170	95	13	to	to	PART
ajst-30170	95	14	capture	capture	VERB
ajst-30170	95	15	complex	complex	ADJ
ajst-30170	95	16	non	non	ADJ
ajst-30170	95	17	linear	linear	ADJ
ajst-30170	95	18	relationships	relationship	NOUN
ajst-30170	95	19	.	.	PUNCT
ajst-30170	96	1	if	if	SCONJ
ajst-30170	96	2	there	there	PRON
ajst-30170	96	3	are	be	VERB
ajst-30170	96	4	high	high	ADJ
ajst-30170	96	5	order	order	NOUN
ajst-30170	96	6	interaction	interaction	NOUN
ajst-30170	96	7	effects	effect	NOUN
ajst-30170	96	8	in	in	ADP
ajst-30170	96	9	the	the	DET
ajst-30170	96	10	actual	actual	ADJ
ajst-30170	96	11	data	datum	NOUN
ajst-30170	96	12	,	,	PUNCT
ajst-30170	96	13	it	it	PRON
ajst-30170	96	14	is	be	AUX
ajst-30170	96	15	necessary	necessary	ADJ
ajst-30170	96	16	to	to	PART
ajst-30170	96	17	combine	combine	VERB
ajst-30170	96	18	feature	feature	NOUN
ajst-30170	96	19	engineering	engineering	NOUN
ajst-30170	96	20	or	or	CCONJ
ajst-30170	96	21	switch	switch	VERB
ajst-30170	96	22	to	to	ADP
ajst-30170	96	23	non	non	ADJ
ajst-30170	96	24	linear	linear	NOUN
ajst-30170	96	25	models	model	NOUN
ajst-30170	96	26	(	(	PUNCT
ajst-30170	96	27	such	such	ADJ
ajst-30170	96	28	as	as	ADP
ajst-30170	96	29	support	support	NOUN
ajst-30170	96	30	vector	vector	NOUN
ajst-30170	96	31	machines	machine	NOUN
ajst-30170	96	32	or	or	CCONJ
ajst-30170	96	33	neural	neural	ADJ
ajst-30170	96	34	networks	network	NOUN
ajst-30170	96	35	)	)	PUNCT
ajst-30170	96	36	to	to	PART
ajst-30170	96	37	improve	improve	VERB
ajst-30170	96	38	the	the	DET
ajst-30170	96	39	prediction	prediction	NOUN
ajst-30170	96	40	accuracy	accuracy	NOUN
ajst-30170	96	41	.	.	PUNCT
ajst-30170	97	1	nevertheless	nevertheless	ADV
ajst-30170	97	2	,	,	PUNCT
ajst-30170	97	3	its	its	PRON
ajst-30170	97	4	efficiency	efficiency	NOUN
ajst-30170	97	5	and	and	CCONJ
ajst-30170	97	6	interpretability	interpretability	NOUN
ajst-30170	97	7	still	still	ADV
ajst-30170	97	8	make	make	VERB
ajst-30170	97	9	it	it	PRON
ajst-30170	97	10	a	a	DET
ajst-30170	97	11	practical	practical	ADJ
ajst-30170	97	12	tool	tool	NOUN
ajst-30170	97	13	for	for	ADP
ajst-30170	97	14	engineering	engineer	VERB
ajst-30170	97	15	quality	quality	NOUN
ajst-30170	97	16	control	control	NOUN
ajst-30170	97	17	,	,	PUNCT
ajst-30170	97	18	especially	especially	ADV
ajst-30170	97	19	suitable	suitable	ADJ
ajst-30170	97	20	for	for	ADP
ajst-30170	97	21	scenarios	scenario	NOUN
ajst-30170	97	22	with	with	ADP
ajst-30170	97	23	limited	limited	ADJ
ajst-30170	97	24	data	datum	NOUN
ajst-30170	97	25	and	and	CCONJ
ajst-30170	97	26	the	the	DET
ajst-30170	97	27	need	need	NOUN
ajst-30170	97	28	for	for	ADP
ajst-30170	97	29	quick	quick	ADJ
ajst-30170	97	30	decision	decision	NOUN
ajst-30170	97	31	making	making	NOUN
ajst-30170	97	32	.	.	PUNCT
ajst-30170	98	1	3.2	3.2	NUM
ajst-30170	98	2	.	.	PUNCT
ajst-30170	99	1	support	support	NOUN
ajst-30170	99	2	vector	vector	NOUN
ajst-30170	99	3	machine	machine	NOUN
ajst-30170	99	4	(	(	PUNCT
ajst-30170	99	5	svm	svm	PROPN
ajst-30170	99	6	)	)	PUNCT
ajst-30170	99	7	the	the	DET
ajst-30170	99	8	support	support	NOUN
ajst-30170	99	9	vector	vector	NOUN
ajst-30170	99	10	machine	machine	NOUN
ajst-30170	99	11	(	(	PUNCT
ajst-30170	99	12	svm	svm	PROPN
ajst-30170	99	13	)	)	PUNCT
ajst-30170	99	14	,	,	PUNCT
ajst-30170	99	15	a	a	DET
ajst-30170	99	16	supervised	supervised	ADJ
ajst-30170	99	17	learning	learning	NOUN
ajst-30170	99	18	approach	approach	NOUN
ajst-30170	99	19	grounded	ground	VERB
ajst-30170	99	20	in	in	ADP
ajst-30170	99	21	statistical	statistical	ADJ
ajst-30170	99	22	learning	learning	NOUN
ajst-30170	99	23	theory	theory	NOUN
ajst-30170	99	24	,	,	PUNCT
ajst-30170	99	25	functions	function	NOUN
ajst-30170	99	26	with	with	ADP
ajst-30170	99	27	a	a	DET
ajst-30170	99	28	central	central	ADJ
ajst-30170	99	29	concept	concept	NOUN
ajst-30170	99	30	.	.	PUNCT
ajst-30170	100	1	this	this	DET
ajst-30170	100	2	concept	concept	NOUN
ajst-30170	100	3	involves	involve	VERB
ajst-30170	100	4	constructing	construct	VERB
ajst-30170	100	5	an	an	DET
ajst-30170	100	6	optimal	optimal	ADJ
ajst-30170	100	7	classification	classification	NOUN
ajst-30170	100	8	hyperplane	hyperplane	NOUN
ajst-30170	100	9	to	to	PART
ajst-30170	100	10	accomplish	accomplish	VERB
ajst-30170	100	11	efficient	efficient	ADJ
ajst-30170	100	12	data	datum	NOUN
ajst-30170	100	13	separation	separation	NOUN
ajst-30170	100	14	.	.	PUNCT
ajst-30170	101	1	svm	svm	PROPN
ajst-30170	101	2	demonstrates	demonstrate	VERB
ajst-30170	101	3	particular	particular	ADJ
ajst-30170	101	4	proficiency	proficiency	NOUN
ajst-30170	101	5	in	in	ADP
ajst-30170	101	6	dealing	deal	VERB
ajst-30170	101	7	with	with	ADP
ajst-30170	101	8	high	high	ADJ
ajst-30170	101	9	dimensional	dimensional	ADJ
ajst-30170	101	10	data	datum	NOUN
ajst-30170	101	11	and	and	CCONJ
ajst-30170	101	12	non	non	ADJ
ajst-30170	101	13	linear	linear	PROPN
ajst-30170	101	14	issues	issue	NOUN
ajst-30170	101	15	.	.	PUNCT
ajst-30170	102	1	in	in	ADP
ajst-30170	102	2	classification	classification	NOUN
ajst-30170	102	3	tasks	task	NOUN
ajst-30170	102	4	,	,	PUNCT
ajst-30170	102	5	the	the	DET
ajst-30170	102	6	goal	goal	NOUN
ajst-30170	102	7	of	of	ADP
ajst-30170	102	8	svm	svm	PROPN
ajst-30170	102	9	is	be	AUX
ajst-30170	102	10	to	to	PART
ajst-30170	102	11	find	find	VERB
ajst-30170	102	12	a	a	DET
ajst-30170	102	13	decision	decision	NOUN
ajst-30170	102	14	boundary	boundary	NOUN
ajst-30170	102	15	that	that	PRON
ajst-30170	102	16	can	can	AUX
ajst-30170	102	17	separate	separate	VERB
ajst-30170	102	18	samples	sample	NOUN
ajst-30170	102	19	of	of	ADP
ajst-30170	102	20	different	different	ADJ
ajst-30170	102	21	classes	class	NOUN
ajst-30170	102	22	and	and	CCONJ
ajst-30170	102	23	maximize	maximize	VERB
ajst-30170	102	24	the	the	DET
ajst-30170	102	25	margin	margin	NOUN
ajst-30170	102	26	between	between	ADP
ajst-30170	102	27	the	the	DET
ajst-30170	102	28	two	two	NUM
ajst-30170	102	29	classes	class	NOUN
ajst-30170	102	30	of	of	ADP
ajst-30170	102	31	samples	sample	NOUN
ajst-30170	102	32	to	to	ADP
ajst-30170	102	33	this	this	DET
ajst-30170	102	34	boundary	boundary	NOUN
ajst-30170	102	35	,	,	PUNCT
ajst-30170	102	36	thereby	thereby	ADV
ajst-30170	102	37	enhancing	enhance	VERB
ajst-30170	102	38	the	the	DET
ajst-30170	102	39	model	model	NOUN
ajst-30170	102	40	's	's	PART
ajst-30170	102	41	generalization	generalization	NOUN
ajst-30170	102	42	ability	ability	NOUN
ajst-30170	102	43	.	.	PUNCT
ajst-30170	103	1	for	for	ADP
ajst-30170	103	2	linearly	linearly	ADV
ajst-30170	103	3	separable	separable	ADJ
ajst-30170	103	4	data	datum	NOUN
ajst-30170	103	5	,	,	PUNCT
ajst-30170	103	6	svm	svm	VERB
ajst-30170	103	7	determines	determine	VERB
ajst-30170	103	8	the	the	DET
ajst-30170	103	9	hyperplane	hyperplane	NOUN
ajst-30170	103	10	equation	equation	NOUN
ajst-30170	103	11	(	(	PUNCT
ajst-30170	103	12	𝒘𝑻𝒙	𝒘𝑻𝒙	X
ajst-30170	103	13	𝒃	𝒃	NOUN
ajst-30170	103	14	𝟎	𝟎	NUM
ajst-30170	103	15	)	)	PUNCT
ajst-30170	103	16	by	by	ADP
ajst-30170	103	17	solving	solve	VERB
ajst-30170	103	18	a	a	DET
ajst-30170	103	19	convex	convex	ADJ
ajst-30170	103	20	quadratic	quadratic	ADJ
ajst-30170	103	21	programming	programming	NOUN
ajst-30170	103	22	problem	problem	NOUN
ajst-30170	103	23	.	.	PUNCT
ajst-30170	104	1	the	the	DET
ajst-30170	104	2	optimization	optimization	NOUN
ajst-30170	104	3	process	process	NOUN
ajst-30170	104	4	of	of	ADP
ajst-30170	104	5	the	the	DET
ajst-30170	104	6	weight	weight	NOUN
ajst-30170	104	7	vector	vector	NOUN
ajst-30170	104	8	w	w	NOUN
ajst-30170	104	9	and	and	CCONJ
ajst-30170	104	10	the	the	DET
ajst-30170	104	11	bias	bias	NOUN
ajst-30170	104	12	term	term	NOUN
ajst-30170	104	13	b	b	PROPN
ajst-30170	104	14	focuses	focus	VERB
ajst-30170	104	15	on	on	ADP
ajst-30170	104	16	the	the	DET
ajst-30170	104	17	support	support	NOUN
ajst-30170	104	18	vectors	vector	NOUN
ajst-30170	104	19	(	(	PUNCT
ajst-30170	104	20	the	the	DET
ajst-30170	104	21	sample	sample	NOUN
ajst-30170	104	22	points	point	VERB
ajst-30170	104	23	closest	close	ADJ
ajst-30170	104	24	to	to	ADP
ajst-30170	104	25	the	the	DET
ajst-30170	104	26	hyperplane	hyperplane	NOUN
ajst-30170	104	27	)	)	PUNCT
ajst-30170	104	28	,	,	PUNCT
ajst-30170	104	29	and	and	CCONJ
ajst-30170	104	30	only	only	ADV
ajst-30170	104	31	these	these	DET
ajst-30170	104	32	vectors	vector	NOUN
ajst-30170	104	33	play	play	VERB
ajst-30170	104	34	a	a	DET
ajst-30170	104	35	decisive	decisive	ADJ
ajst-30170	104	36	role	role	NOUN
ajst-30170	104	37	in	in	ADP
ajst-30170	104	38	the	the	DET
ajst-30170	104	39	decision	decision	NOUN
ajst-30170	104	40	boundary	boundary	NOUN
ajst-30170	104	41	.	.	PUNCT
ajst-30170	105	1	when	when	SCONJ
ajst-30170	105	2	the	the	DET
ajst-30170	105	3	data	data	NOUN
ajst-30170	105	4	is	be	AUX
ajst-30170	105	5	linearly	linearly	ADV
ajst-30170	105	6	inseparable	inseparable	ADJ
ajst-30170	105	7	,	,	PUNCT
ajst-30170	105	8	svm	svm	PROPN
ajst-30170	105	9	maps	map	VERB
ajst-30170	105	10	the	the	DET
ajst-30170	105	11	original	original	ADJ
ajst-30170	105	12	features	feature	NOUN
ajst-30170	105	13	to	to	ADP
ajst-30170	105	14	a	a	DET
ajst-30170	105	15	high	high	ADJ
ajst-30170	105	16	dimensional	dimensional	ADJ
ajst-30170	105	17	space	space	NOUN
ajst-30170	105	18	through	through	ADP
ajst-30170	105	19	the	the	DET
ajst-30170	105	20	kernel	kernel	PROPN
ajst-30170	105	21	trick	trick	NOUN
ajst-30170	105	22	.	.	PUNCT
ajst-30170	106	1	with	with	ADP
ajst-30170	106	2	the	the	DET
ajst-30170	106	3	help	help	NOUN
ajst-30170	106	4	of	of	ADP
ajst-30170	106	5	nonlinear	nonlinear	ADJ
ajst-30170	106	6	kernel	kernel	PROPN
ajst-30170	106	7	functions	function	NOUN
ajst-30170	106	8	(	(	PUNCT
ajst-30170	106	9	such	such	ADJ
ajst-30170	106	10	as	as	ADP
ajst-30170	106	11	the	the	DET
ajst-30170	106	12	gaussian	gaussian	ADJ
ajst-30170	106	13	radial	radial	ADJ
ajst-30170	106	14	basis	basis	NOUN
ajst-30170	106	15	kernel	kernel	PROPN
ajst-30170	106	16	rbf	rbf	PROPN
ajst-30170	106	17	and	and	CCONJ
ajst-30170	106	18	the	the	DET
ajst-30170	106	19	polynomial	polynomial	ADJ
ajst-30170	106	20	kernel	kernel	NOUN
ajst-30170	106	21	)	)	PUNCT
ajst-30170	106	22	,	,	PUNCT
ajst-30170	106	23	it	it	PRON
ajst-30170	106	24	implicitly	implicitly	ADV
ajst-30170	106	25	realizes	realize	VERB
ajst-30170	106	26	linear	linear	NOUN
ajst-30170	106	27	separability	separability	NOUN
ajst-30170	106	28	and	and	CCONJ
ajst-30170	106	29	avoids	avoid	VERB
ajst-30170	106	30	the	the	DET
ajst-30170	106	31	complexity	complexity	NOUN
ajst-30170	106	32	brought	bring	VERB
ajst-30170	106	33	by	by	ADP
ajst-30170	106	34	explicit	explicit	ADJ
ajst-30170	106	35	high	high	ADJ
ajst-30170	106	36	dimensional	dimensional	ADJ
ajst-30170	106	37	calculations	calculation	NOUN
ajst-30170	106	38	.	.	PUNCT
ajst-30170	107	1	in	in	ADP
ajst-30170	107	2	addition	addition	NOUN
ajst-30170	107	3	,	,	PUNCT
ajst-30170	107	4	the	the	DET
ajst-30170	107	5	concept	concept	NOUN
ajst-30170	107	6	of	of	ADP
ajst-30170	107	7	a	a	DET
ajst-30170	107	8	soft	soft	ADJ
ajst-30170	107	9	margin	margin	NOUN
ajst-30170	107	10	and	and	CCONJ
ajst-30170	107	11	the	the	DET
ajst-30170	107	12	regularization	regularization	NOUN
ajst-30170	107	13	parameter	parameter	NOUN
ajst-30170	107	14	care	care	NOUN
ajst-30170	107	15	introduced	introduce	VERB
ajst-30170	107	16	,	,	PUNCT
ajst-30170	107	17	allowing	allow	VERB
ajst-30170	107	18	some	some	DET
ajst-30170	107	19	samples	sample	NOUN
ajst-30170	107	20	to	to	PART
ajst-30170	107	21	violate	violate	VERB
ajst-30170	107	22	the	the	DET
ajst-30170	107	23	margin	margin	NOUN
ajst-30170	107	24	constraint	constraint	NOUN
ajst-30170	107	25	to	to	PART
ajst-30170	107	26	balance	balance	VERB
ajst-30170	107	27	the	the	DET
ajst-30170	107	28	classification	classification	NOUN
ajst-30170	107	29	accuracy	accuracy	NOUN
ajst-30170	107	30	and	and	CCONJ
ajst-30170	107	31	model	model	NOUN
ajst-30170	107	32	complexity	complexity	NOUN
ajst-30170	107	33	and	and	CCONJ
ajst-30170	107	34	enhance	enhance	VERB
ajst-30170	107	35	the	the	DET
ajst-30170	107	36	robustness	robustness	NOUN
ajst-30170	107	37	to	to	ADP
ajst-30170	107	38	noisy	noisy	ADJ
ajst-30170	107	39	data	datum	NOUN
ajst-30170	107	40	.	.	PUNCT
ajst-30170	108	1	the	the	DET
ajst-30170	108	2	global	global	ADJ
ajst-30170	108	3	optimization	optimization	NOUN
ajst-30170	108	4	characteristics	characteristic	NOUN
ajst-30170	108	5	of	of	ADP
ajst-30170	108	6	svm	svm	PROPN
ajst-30170	108	7	make	make	VERB
ajst-30170	108	8	it	it	PRON
ajst-30170	108	9	perform	perform	VERB
ajst-30170	108	10	well	well	ADV
ajst-30170	108	11	in	in	ADP
ajst-30170	108	12	small	small	ADJ
ajst-30170	108	13	sample	sample	NOUN
ajst-30170	108	14	and	and	CCONJ
ajst-30170	108	15	high	high	ADJ
ajst-30170	108	16	dimensional	dimensional	ADJ
ajst-30170	108	17	scenarios	scenario	NOUN
ajst-30170	108	18	,	,	PUNCT
ajst-30170	108	19	but	but	CCONJ
ajst-30170	108	20	it	it	PRON
ajst-30170	108	21	is	be	AUX
ajst-30170	108	22	sensitive	sensitive	ADJ
ajst-30170	108	23	to	to	ADP
ajst-30170	108	24	the	the	DET
ajst-30170	108	25	selection	selection	NOUN
ajst-30170	108	26	of	of	ADP
ajst-30170	108	27	kernel	kernel	NOUN
ajst-30170	108	28	functions	function	NOUN
ajst-30170	108	29	and	and	CCONJ
ajst-30170	108	30	parameter	parameter	NOUN
ajst-30170	108	31	tuning	tuning	NOUN
ajst-30170	108	32	.	.	PUNCT
ajst-30170	109	1	in	in	ADP
ajst-30170	109	2	the	the	DET
ajst-30170	109	3	prediction	prediction	NOUN
ajst-30170	109	4	of	of	ADP
ajst-30170	109	5	the	the	DET
ajst-30170	109	6	performance	performance	NOUN
ajst-30170	109	7	of	of	ADP
ajst-30170	109	8	steel	steel	NOUN
ajst-30170	109	9	pipe	pipe	NOUN
ajst-30170	109	10	grouted	grout	VERB
ajst-30170	109	11	sleeve	sleeve	NOUN
ajst-30170	109	12	connections	connection	NOUN
ajst-30170	109	13	,	,	PUNCT
ajst-30170	109	14	svm	svm	NOUN
ajst-30170	109	15	can	can	AUX
ajst-30170	109	16	effectively	effectively	ADV
ajst-30170	109	17	capture	capture	VERB
ajst-30170	109	18	the	the	DET
ajst-30170	109	19	nonlinear	nonlinear	ADJ
ajst-30170	109	20	relationships	relationship	NOUN
ajst-30170	109	21	under	under	ADP
ajst-30170	109	22	the	the	DET
ajst-30170	109	23	coupling	coupling	NOUN
ajst-30170	109	24	of	of	ADP
ajst-30170	109	25	multiple	multiple	ADJ
ajst-30170	109	26	factors	factor	NOUN
ajst-30170	109	27	.	.	PUNCT
ajst-30170	110	1	the	the	DET
ajst-30170	110	2	mechanical	mechanical	ADJ
ajst-30170	110	3	properties	property	NOUN
ajst-30170	110	4	of	of	ADP
ajst-30170	110	5	grouted	grouted	ADJ
ajst-30170	110	6	sleeve	sleeve	NOUN
ajst-30170	110	7	connections	connection	NOUN
ajst-30170	110	8	(	(	PUNCT
ajst-30170	110	9	such	such	ADJ
ajst-30170	110	10	as	as	ADP
ajst-30170	110	11	tensile	tensile	NOUN
ajst-30170	110	12	strength	strength	NOUN
ajst-30170	110	13	and	and	CCONJ
ajst-30170	110	14	shear	shear	NOUN
ajst-30170	110	15	bearing	bear	VERB
ajst-30170	110	16	capacity	capacity	NOUN
ajst-30170	110	17	)	)	PUNCT
ajst-30170	110	18	are	be	AUX
ajst-30170	110	19	affected	affect	VERB
ajst-30170	110	20	by	by	ADP
ajst-30170	110	21	multi	multi	ADJ
ajst-30170	110	22	dimensional	dimensional	ADJ
ajst-30170	110	23	features	feature	NOUN
ajst-30170	110	24	such	such	ADJ
ajst-30170	110	25	as	as	ADP
ajst-30170	110	26	grouting	grout	VERB
ajst-30170	110	27	density	density	NOUN
ajst-30170	110	28	,	,	PUNCT
ajst-30170	110	29	sleeve	sleeve	ADJ
ajst-30170	110	30	geometric	geometric	ADJ
ajst-30170	110	31	parameters	parameter	NOUN
ajst-30170	110	32	(	(	PUNCT
ajst-30170	110	33	diameter	diameter	NOUN
ajst-30170	110	34	,	,	PUNCT
ajst-30170	110	35	wall	wall	NOUN
ajst-30170	110	36	thickness	thickness	PROPN
ajst-30170	110	37	)	)	PUNCT
ajst-30170	110	38	,	,	PUNCT
ajst-30170	110	39	grouting	grout	VERB
ajst-30170	110	40	material	material	NOUN
ajst-30170	110	41	strength	strength	NOUN
ajst-30170	110	42	,	,	PUNCT
ajst-30170	110	43	environmental	environmental	ADJ
ajst-30170	110	44	temperature	temperature	NOUN
ajst-30170	110	45	and	and	CCONJ
ajst-30170	110	46	humidity	humidity	NOUN
ajst-30170	110	47	,	,	PUNCT
ajst-30170	110	48	and	and	CCONJ
ajst-30170	110	49	construction	construction	NOUN
ajst-30170	110	50	technology	technology	NOUN
ajst-30170	110	51	(	(	PUNCT
ajst-30170	110	52	grouting	grout	VERB
ajst-30170	110	53	pressure	pressure	NOUN
ajst-30170	110	54	,	,	PUNCT
ajst-30170	110	55	curing	cure	VERB
ajst-30170	110	56	time	time	NOUN
ajst-30170	110	57	)	)	PUNCT
ajst-30170	110	58	.	.	PUNCT
ajst-30170	111	1	there	there	PRON
ajst-30170	111	2	may	may	AUX
ajst-30170	111	3	be	be	AUX
ajst-30170	111	4	complex	complex	ADJ
ajst-30170	111	5	interaction	interaction	NOUN
ajst-30170	111	6	effects	effect	NOUN
ajst-30170	111	7	among	among	ADP
ajst-30170	111	8	these	these	DET
ajst-30170	111	9	features	feature	NOUN
ajst-30170	111	10	.	.	PUNCT
ajst-30170	112	1	for	for	ADP
ajst-30170	112	2	example	example	NOUN
ajst-30170	112	3	,	,	PUNCT
ajst-30170	112	4	when	when	SCONJ
ajst-30170	112	5	using	use	VERB
ajst-30170	112	6	the	the	DET
ajst-30170	112	7	rbf	rbf	PROPN
ajst-30170	112	8	kernel	kernel	PROPN
ajst-30170	112	9	,	,	PUNCT
ajst-30170	112	10	the	the	DET
ajst-30170	112	11	model	model	NOUN
ajst-30170	112	12	can	can	AUX
ajst-30170	112	13	identify	identify	VERB
ajst-30170	112	14	the	the	DET
ajst-30170	112	15	implicit	implicit	ADJ
ajst-30170	112	16	laws	law	NOUN
ajst-30170	112	17	between	between	ADP
ajst-30170	112	18	grouting	grout	VERB
ajst-30170	112	19	defects	defect	NOUN
ajst-30170	112	20	(	(	PUNCT
ajst-30170	112	21	such	such	ADJ
ajst-30170	112	22	as	as	ADP
ajst-30170	112	23	local	local	ADJ
ajst-30170	112	24	insufficient	insufficient	ADJ
ajst-30170	112	25	density	density	NOUN
ajst-30170	112	26	)	)	PUNCT
ajst-30170	112	27	and	and	CCONJ
ajst-30170	112	28	performance	performance	NOUN
ajst-30170	112	29	degradation	degradation	NOUN
ajst-30170	112	30	through	through	ADP
ajst-30170	112	31	local	local	ADJ
ajst-30170	112	32	similarity	similarity	NOUN
ajst-30170	112	33	measurement	measurement	NOUN
ajst-30170	112	34	(	(	PUNCT
ajst-30170	112	35	based	base	VERB
ajst-30170	112	36	on	on	ADP
ajst-30170	112	37	the	the	DET
ajst-30170	112	38	distance	distance	NOUN
ajst-30170	112	39	in	in	ADP
ajst-30170	112	40	the	the	DET
ajst-30170	112	41	feature	feature	NOUN
ajst-30170	112	42	space	space	NOUN
ajst-30170	112	43	)	)	PUNCT
ajst-30170	112	44	.	.	PUNCT
ajst-30170	113	1	in	in	ADP
ajst-30170	113	2	actual	actual	ADJ
ajst-30170	113	3	modeling	modeling	NOUN
ajst-30170	113	4	,	,	PUNCT
ajst-30170	113	5	it	it	PRON
ajst-30170	113	6	is	be	AUX
ajst-30170	113	7	necessary	necessary	ADJ
ajst-30170	113	8	to	to	PART
ajst-30170	113	9	screen	screen	VERB
ajst-30170	113	10	features	feature	NOUN
ajst-30170	113	11	combined	combine	VERB
ajst-30170	113	12	with	with	ADP
ajst-30170	113	13	domain	domain	NOUN
ajst-30170	113	14	knowledge	knowledge	NOUN
ajst-30170	113	15	and	and	CCONJ
ajst-30170	113	16	determine	determine	VERB
ajst-30170	113	17	the	the	DET
ajst-30170	113	18	optimal	optimal	ADJ
ajst-30170	113	19	kernel	kernel	NOUN
ajst-30170	113	20	function	function	NOUN
ajst-30170	113	21	and	and	CCONJ
ajst-30170	113	22	parameters	parameter	NOUN
ajst-30170	113	23	(	(	PUNCT
ajst-30170	113	24	such	such	ADJ
ajst-30170	113	25	as	as	ADP
ajst-30170	113	26	c	c	PROPN
ajst-30170	113	27	and	and	CCONJ
ajst-30170	113	28	the	the	DET
ajst-30170	113	29	kernel	kernel	PROPN
ajst-30170	113	30	coefficient	coefficient	NOUN
ajst-30170	113	31	γ	γ	PROPN
ajst-30170	113	32	)	)	PUNCT
ajst-30170	113	33	through	through	ADP
ajst-30170	113	34	grid	grid	NOUN
ajst-30170	113	35	search	search	NOUN
ajst-30170	113	36	and	and	CCONJ
ajst-30170	113	37	cross	cross	VERB
ajst-30170	113	38	validation	validation	NOUN
ajst-30170	113	39	to	to	PART
ajst-30170	113	40	avoid	avoid	VERB
ajst-30170	113	41	overfitting	overfitte	VERB
ajst-30170	113	42	.	.	PUNCT
ajst-30170	114	1	in	in	ADP
ajst-30170	114	2	engineering	engineering	NOUN
ajst-30170	114	3	applications	application	NOUN
ajst-30170	114	4	,	,	PUNCT
ajst-30170	114	5	the	the	DET
ajst-30170	114	6	prediction	prediction	NOUN
ajst-30170	114	7	results	result	NOUN
ajst-30170	114	8	of	of	ADP
ajst-30170	114	9	svm	svm	NOUN
ajst-30170	114	10	can	can	AUX
ajst-30170	114	11	be	be	AUX
ajst-30170	114	12	used	use	VERB
ajst-30170	114	13	for	for	ADP
ajst-30170	114	14	grading	grade	VERB
ajst-30170	114	15	evaluation	evaluation	NOUN
ajst-30170	114	16	(	(	PUNCT
ajst-30170	114	17	such	such	ADJ
ajst-30170	114	18	as	as	ADP
ajst-30170	114	19	"	"	PUNCT
ajst-30170	114	20	qualified	qualified	ADJ
ajst-30170	114	21	/	/	SYM
ajst-30170	114	22	critical	critical	ADJ
ajst-30170	114	23	/	/	SYM
ajst-30170	114	24	unqualified	unqualified	ADJ
ajst-30170	114	25	"	"	PUNCT
ajst-30170	114	26	)	)	PUNCT
ajst-30170	114	27	to	to	PART
ajst-30170	114	28	guide	guide	VERB
ajst-30170	114	29	the	the	DET
ajst-30170	114	30	priority	priority	NOUN
ajst-30170	114	31	of	of	ADP
ajst-30170	114	32	on	on	ADP
ajst-30170	114	33	33	33	NUM
ajst-30170	114	34	site	site	NOUN
ajst-30170	114	35	spot	spot	NOUN
ajst-30170	114	36	checks	check	NOUN
ajst-30170	114	37	;	;	PUNCT
ajst-30170	114	38	the	the	DET
ajst-30170	114	39	physical	physical	ADJ
ajst-30170	114	40	meaning	meaning	NOUN
ajst-30170	114	41	of	of	ADP
ajst-30170	114	42	its	its	PRON
ajst-30170	114	43	support	support	NOUN
ajst-30170	114	44	vectors	vector	NOUN
ajst-30170	114	45	can	can	AUX
ajst-30170	114	46	also	also	ADV
ajst-30170	114	47	assist	assist	VERB
ajst-30170	114	48	in	in	ADP
ajst-30170	114	49	identifying	identify	VERB
ajst-30170	114	50	key	key	ADJ
ajst-30170	114	51	quality	quality	NOUN
ajst-30170	114	52	control	control	NOUN
ajst-30170	114	53	indicators	indicator	NOUN
ajst-30170	114	54	.	.	PUNCT
ajst-30170	115	1	if	if	SCONJ
ajst-30170	115	2	most	most	ADJ
ajst-30170	115	3	of	of	ADP
ajst-30170	115	4	the	the	DET
ajst-30170	115	5	support	support	NOUN
ajst-30170	115	6	vectors	vector	NOUN
ajst-30170	115	7	are	be	AUX
ajst-30170	115	8	concentrated	concentrate	VERB
ajst-30170	115	9	in	in	ADP
ajst-30170	115	10	a	a	DET
ajst-30170	115	11	specific	specific	ADJ
ajst-30170	115	12	combination	combination	NOUN
ajst-30170	115	13	interval	interval	NOUN
ajst-30170	115	14	of	of	ADP
ajst-30170	115	15	grouting	grout	VERB
ajst-30170	115	16	pressure	pressure	NOUN
ajst-30170	115	17	and	and	CCONJ
ajst-30170	115	18	density	density	NOUN
ajst-30170	115	19	,	,	PUNCT
ajst-30170	115	20	it	it	PRON
ajst-30170	115	21	indicates	indicate	VERB
ajst-30170	115	22	that	that	SCONJ
ajst-30170	115	23	this	this	DET
ajst-30170	115	24	parameter	parameter	NOUN
ajst-30170	115	25	combination	combination	NOUN
ajst-30170	115	26	is	be	AUX
ajst-30170	115	27	a	a	DET
ajst-30170	115	28	performance	performance	NOUN
ajst-30170	115	29	sensitive	sensitive	ADJ
ajst-30170	115	30	area	area	NOUN
ajst-30170	115	31	and	and	CCONJ
ajst-30170	115	32	needs	need	VERB
ajst-30170	115	33	to	to	PART
ajst-30170	115	34	be	be	AUX
ajst-30170	115	35	strictly	strictly	ADV
ajst-30170	115	36	controlled	control	VERB
ajst-30170	115	37	during	during	ADP
ajst-30170	115	38	construction	construction	NOUN
ajst-30170	115	39	.	.	PUNCT
ajst-30170	116	1	however	however	ADV
ajst-30170	116	2	,	,	PUNCT
ajst-30170	116	3	the	the	DET
ajst-30170	116	4	computational	computational	ADJ
ajst-30170	116	5	complexity	complexity	NOUN
ajst-30170	116	6	of	of	ADP
ajst-30170	116	7	svm	svm	ADJ
ajst-30170	116	8	increases	increase	NOUN
ajst-30170	116	9	significantly	significantly	ADV
ajst-30170	116	10	with	with	ADP
ajst-30170	116	11	the	the	DET
ajst-30170	116	12	growth	growth	NOUN
ajst-30170	116	13	of	of	ADP
ajst-30170	116	14	the	the	DET
ajst-30170	116	15	sample	sample	NOUN
ajst-30170	116	16	size	size	NOUN
ajst-30170	116	17	.	.	PUNCT
ajst-30170	117	1	if	if	SCONJ
ajst-30170	117	2	the	the	DET
ajst-30170	117	3	scale	scale	NOUN
ajst-30170	117	4	of	of	ADP
ajst-30170	117	5	on	on	ADP
ajst-30170	117	6	site	site	NOUN
ajst-30170	117	7	monitoring	monitoring	NOUN
ajst-30170	117	8	data	datum	NOUN
ajst-30170	117	9	is	be	AUX
ajst-30170	117	10	large	large	ADJ
ajst-30170	117	11	,	,	PUNCT
ajst-30170	117	12	it	it	PRON
ajst-30170	117	13	is	be	AUX
ajst-30170	117	14	necessary	necessary	ADJ
ajst-30170	117	15	to	to	PART
ajst-30170	117	16	combine	combine	VERB
ajst-30170	117	17	feature	feature	NOUN
ajst-30170	117	18	dimension	dimension	NOUN
ajst-30170	117	19	reduction	reduction	NOUN
ajst-30170	117	20	or	or	CCONJ
ajst-30170	117	21	sampling	sample	VERB
ajst-30170	117	22	strategies	strategy	NOUN
ajst-30170	117	23	to	to	PART
ajst-30170	117	24	improve	improve	VERB
ajst-30170	117	25	efficiency	efficiency	NOUN
ajst-30170	117	26	.	.	PUNCT
ajst-30170	118	1	nevertheless	nevertheless	ADV
ajst-30170	118	2	,	,	PUNCT
ajst-30170	118	3	its	its	PRON
ajst-30170	118	4	advantages	advantage	NOUN
ajst-30170	118	5	in	in	ADP
ajst-30170	118	6	complex	complex	ADJ
ajst-30170	118	7	nonlinear	nonlinear	ADJ
ajst-30170	118	8	pattern	pattern	NOUN
ajst-30170	118	9	recognition	recognition	NOUN
ajst-30170	118	10	make	make	VERB
ajst-30170	118	11	it	it	PRON
ajst-30170	118	12	an	an	DET
ajst-30170	118	13	effective	effective	ADJ
ajst-30170	118	14	tool	tool	NOUN
ajst-30170	118	15	to	to	PART
ajst-30170	118	16	supplement	supplement	VERB
ajst-30170	118	17	traditional	traditional	ADJ
ajst-30170	118	18	detection	detection	NOUN
ajst-30170	118	19	methods	method	NOUN
ajst-30170	118	20	,	,	PUNCT
ajst-30170	118	21	especially	especially	ADV
ajst-30170	118	22	suitable	suitable	ADJ
ajst-30170	118	23	for	for	ADP
ajst-30170	118	24	scenarios	scenario	NOUN
ajst-30170	118	25	of	of	ADP
ajst-30170	118	26	fusion	fusion	NOUN
ajst-30170	118	27	analysis	analysis	NOUN
ajst-30170	118	28	of	of	ADP
ajst-30170	118	29	multi	multi	ADJ
ajst-30170	118	30	source	source	NOUN
ajst-30170	118	31	heterogeneous	heterogeneous	ADJ
ajst-30170	118	32	data	datum	NOUN
ajst-30170	118	33	(	(	PUNCT
ajst-30170	118	34	such	such	ADJ
ajst-30170	118	35	as	as	ADP
ajst-30170	118	36	sensor	sensor	NOUN
ajst-30170	118	37	data	datum	NOUN
ajst-30170	118	38	and	and	CCONJ
ajst-30170	118	39	material	material	NOUN
ajst-30170	118	40	parameters	parameter	NOUN
ajst-30170	118	41	)	)	PUNCT
ajst-30170	118	42	.	.	PUNCT
ajst-30170	119	1	3.3	3.3	NUM
ajst-30170	119	2	.	.	PUNCT
ajst-30170	120	1	decision	decision	NOUN
ajst-30170	120	2	tree	tree	NOUN
ajst-30170	120	3	(	(	PUNCT
ajst-30170	120	4	dt	dt	NOUN
ajst-30170	120	5	)	)	PUNCT
ajst-30170	120	6	the	the	DET
ajst-30170	120	7	decision	decision	NOUN
ajst-30170	120	8	tree	tree	NOUN
ajst-30170	120	9	is	be	AUX
ajst-30170	120	10	a	a	DET
ajst-30170	120	11	supervised	supervised	ADJ
ajst-30170	120	12	learning	learning	NOUN
ajst-30170	120	13	algorithm	algorithm	NOUN
ajst-30170	120	14	based	base	VERB
ajst-30170	120	15	on	on	ADP
ajst-30170	120	16	a	a	DET
ajst-30170	120	17	tree	tree	NOUN
ajst-30170	120	18	shaped	shape	VERB
ajst-30170	120	19	structure	structure	NOUN
ajst-30170	120	20	.	.	PUNCT
ajst-30170	121	1	it	it	PRON
ajst-30170	121	2	realizes	realize	VERB
ajst-30170	121	3	classification	classification	NOUN
ajst-30170	121	4	or	or	CCONJ
ajst-30170	121	5	regression	regression	NOUN
ajst-30170	121	6	tasks	task	NOUN
ajst-30170	121	7	by	by	ADP
ajst-30170	121	8	recursively	recursively	ADV
ajst-30170	121	9	dividing	divide	VERB
ajst-30170	121	10	the	the	DET
ajst-30170	121	11	feature	feature	NOUN
ajst-30170	121	12	space	space	NOUN
ajst-30170	121	13	.	.	PUNCT
ajst-30170	122	1	its	its	PRON
ajst-30170	122	2	core	core	ADJ
ajst-30170	122	3	idea	idea	NOUN
ajst-30170	122	4	is	be	AUX
ajst-30170	122	5	to	to	PART
ajst-30170	122	6	simulate	simulate	VERB
ajst-30170	122	7	the	the	DET
ajst-30170	122	8	human	human	ADJ
ajst-30170	122	9	decision	decision	NOUN
ajst-30170	122	10	making	make	VERB
ajst-30170	122	11	process	process	NOUN
ajst-30170	122	12	.	.	PUNCT
ajst-30170	123	1	in	in	ADP
ajst-30170	123	2	classification	classification	NOUN
ajst-30170	123	3	tasks	task	NOUN
ajst-30170	123	4	,	,	PUNCT
ajst-30170	123	5	the	the	DET
ajst-30170	123	6	decision	decision	NOUN
ajst-30170	123	7	tree	tree	NOUN
ajst-30170	123	8	starts	start	VERB
ajst-30170	123	9	from	from	ADP
ajst-30170	123	10	the	the	DET
ajst-30170	123	11	root	root	NOUN
ajst-30170	123	12	node	node	NOUN
ajst-30170	123	13	,	,	PUNCT
ajst-30170	123	14	selects	select	VERB
ajst-30170	123	15	the	the	DET
ajst-30170	123	16	optimal	optimal	ADJ
ajst-30170	123	17	feature	feature	NOUN
ajst-30170	123	18	for	for	ADP
ajst-30170	123	19	data	datum	NOUN
ajst-30170	123	20	division	division	NOUN
ajst-30170	123	21	according	accord	VERB
ajst-30170	123	22	to	to	ADP
ajst-30170	123	23	the	the	DET
ajst-30170	123	24	feature	feature	NOUN
ajst-30170	123	25	selection	selection	NOUN
ajst-30170	123	26	criterion	criterion	NOUN
ajst-30170	123	27	(	(	PUNCT
ajst-30170	123	28	such	such	ADJ
ajst-30170	123	29	as	as	ADP
ajst-30170	123	30	information	information	NOUN
ajst-30170	123	31	gain	gain	NOUN
ajst-30170	123	32	,	,	PUNCT
ajst-30170	123	33	gini	gini	PROPN
ajst-30170	123	34	coefficient	coefficient	NOUN
ajst-30170	123	35	,	,	PUNCT
ajst-30170	123	36	or	or	CCONJ
ajst-30170	123	37	chi	chi	PROPN
ajst-30170	123	38	square	square	ADJ
ajst-30170	123	39	test	test	NOUN
ajst-30170	123	40	)	)	PUNCT
ajst-30170	123	41	,	,	PUNCT
ajst-30170	123	42	and	and	CCONJ
ajst-30170	123	43	generates	generate	VERB
ajst-30170	123	44	child	child	NOUN
ajst-30170	123	45	nodes	node	NOUN
ajst-30170	123	46	;	;	PUNCT
ajst-30170	123	47	each	each	DET
ajst-30170	123	48	child	child	NOUN
ajst-30170	123	49	node	node	NOUN
ajst-30170	123	50	represents	represent	VERB
ajst-30170	123	51	a	a	DET
ajst-30170	123	52	data	datum	NOUN
ajst-30170	123	53	subset	subset	VERB
ajst-30170	123	54	under	under	ADP
ajst-30170	123	55	a	a	DET
ajst-30170	123	56	certain	certain	ADJ
ajst-30170	123	57	feature	feature	NOUN
ajst-30170	123	58	value	value	NOUN
ajst-30170	123	59	condition	condition	NOUN
ajst-30170	123	60	.	.	PUNCT
ajst-30170	124	1	through	through	ADP
ajst-30170	124	2	iterative	iterative	NOUN
ajst-30170	124	3	splitting	splitting	NOUN
ajst-30170	124	4	until	until	SCONJ
ajst-30170	124	5	the	the	DET
ajst-30170	124	6	termination	termination	NOUN
ajst-30170	124	7	condition	condition	NOUN
ajst-30170	124	8	is	be	AUX
ajst-30170	124	9	reached	reach	VERB
ajst-30170	124	10	(	(	PUNCT
ajst-30170	124	11	such	such	ADJ
ajst-30170	124	12	as	as	SCONJ
ajst-30170	124	13	the	the	DET
ajst-30170	124	14	sample	sample	NOUN
ajst-30170	124	15	purity	purity	NOUN
ajst-30170	124	16	of	of	ADP
ajst-30170	124	17	the	the	DET
ajst-30170	124	18	node	node	NOUN
ajst-30170	124	19	is	be	AUX
ajst-30170	124	20	high	high	ADJ
ajst-30170	124	21	enough	enough	ADV
ajst-30170	124	22	or	or	CCONJ
ajst-30170	124	23	the	the	DET
ajst-30170	124	24	depth	depth	NOUN
ajst-30170	124	25	reaches	reach	VERB
ajst-30170	124	26	the	the	DET
ajst-30170	124	27	preset	preset	ADJ
ajst-30170	124	28	threshold	threshold	NOUN
ajst-30170	124	29	)	)	PUNCT
ajst-30170	124	30	.	.	PUNCT
ajst-30170	125	1	finally	finally	ADV
ajst-30170	125	2	,	,	PUNCT
ajst-30170	125	3	the	the	DET
ajst-30170	125	4	leaf	leaf	NOUN
ajst-30170	125	5	nodes	node	NOUN
ajst-30170	125	6	are	be	AUX
ajst-30170	125	7	assigned	assign	VERB
ajst-30170	125	8	category	category	NOUN
ajst-30170	125	9	labels	label	NOUN
ajst-30170	125	10	as	as	SCONJ
ajst-30170	125	11	the	the	DET
ajst-30170	125	12	prediction	prediction	NOUN
ajst-30170	125	13	results	result	VERB
ajst-30170	125	14	.	.	PUNCT
ajst-30170	126	1	in	in	ADP
ajst-30170	126	2	the	the	DET
ajst-30170	126	3	prediction	prediction	NOUN
ajst-30170	126	4	of	of	ADP
ajst-30170	126	5	the	the	DET
ajst-30170	126	6	performance	performance	NOUN
ajst-30170	126	7	of	of	ADP
ajst-30170	126	8	steel	steel	NOUN
ajst-30170	126	9	pipe	pipe	NOUN
ajst-30170	126	10	grouted	grout	VERB
ajst-30170	126	11	sleeve	sleeve	NOUN
ajst-30170	126	12	connections	connection	NOUN
ajst-30170	126	13	,	,	PUNCT
ajst-30170	126	14	the	the	DET
ajst-30170	126	15	decision	decision	NOUN
ajst-30170	126	16	tree	tree	NOUN
ajst-30170	126	17	can	can	AUX
ajst-30170	126	18	reveal	reveal	VERB
ajst-30170	126	19	the	the	DET
ajst-30170	126	20	quality	quality	NOUN
ajst-30170	126	21	thresholds	threshold	NOUN
ajst-30170	126	22	under	under	ADP
ajst-30170	126	23	the	the	DET
ajst-30170	126	24	coupling	coupling	NOUN
ajst-30170	126	25	of	of	ADP
ajst-30170	126	26	multiple	multiple	ADJ
ajst-30170	126	27	factors	factor	NOUN
ajst-30170	126	28	by	by	ADP
ajst-30170	126	29	constructing	construct	VERB
ajst-30170	126	30	a	a	DET
ajst-30170	126	31	hierarchical	hierarchical	ADJ
ajst-30170	126	32	rule	rule	NOUN
ajst-30170	126	33	system	system	NOUN
ajst-30170	126	34	.	.	PUNCT
ajst-30170	127	1	the	the	DET
ajst-30170	127	2	performance	performance	NOUN
ajst-30170	127	3	qualification	qualification	NOUN
ajst-30170	127	4	of	of	ADP
ajst-30170	127	5	grouted	grouted	ADJ
ajst-30170	127	6	sleeves	sleeve	NOUN
ajst-30170	127	7	is	be	AUX
ajst-30170	127	8	affected	affect	VERB
ajst-30170	127	9	by	by	ADP
ajst-30170	127	10	multi	multi	ADJ
ajst-30170	127	11	dimensional	dimensional	ADJ
ajst-30170	127	12	features	feature	NOUN
ajst-30170	127	13	such	such	ADJ
ajst-30170	127	14	as	as	ADP
ajst-30170	127	15	grouting	grout	VERB
ajst-30170	127	16	density	density	NOUN
ajst-30170	127	17	,	,	PUNCT
ajst-30170	127	18	sleeve	sleeve	ADJ
ajst-30170	127	19	geometric	geometric	ADJ
ajst-30170	127	20	dimensions	dimension	NOUN
ajst-30170	127	21	,	,	PUNCT
ajst-30170	127	22	material	material	NOUN
ajst-30170	127	23	strength	strength	NOUN
ajst-30170	127	24	,	,	PUNCT
ajst-30170	127	25	and	and	CCONJ
ajst-30170	127	26	construction	construction	NOUN
ajst-30170	127	27	parameters	parameter	NOUN
ajst-30170	127	28	(	(	PUNCT
ajst-30170	127	29	such	such	ADJ
ajst-30170	127	30	as	as	ADP
ajst-30170	127	31	grouting	grout	VERB
ajst-30170	127	32	pressure	pressure	NOUN
ajst-30170	127	33	,	,	PUNCT
ajst-30170	127	34	curing	cure	VERB
ajst-30170	127	35	temperature	temperature	NOUN
ajst-30170	127	36	)	)	PUNCT
ajst-30170	127	37	.	.	PUNCT
ajst-30170	128	1	there	there	PRON
ajst-30170	128	2	may	may	AUX
ajst-30170	128	3	be	be	AUX
ajst-30170	128	4	nonlinear	nonlinear	ADJ
ajst-30170	128	5	or	or	CCONJ
ajst-30170	128	6	conditional	conditional	ADJ
ajst-30170	128	7	dependence	dependence	NOUN
ajst-30170	128	8	relationships	relationship	NOUN
ajst-30170	128	9	among	among	ADP
ajst-30170	128	10	these	these	DET
ajst-30170	128	11	features	feature	NOUN
ajst-30170	128	12	.	.	PUNCT
ajst-30170	129	1	for	for	ADP
ajst-30170	129	2	example	example	NOUN
ajst-30170	129	3	,	,	PUNCT
ajst-30170	129	4	the	the	DET
ajst-30170	129	5	decision	decision	NOUN
ajst-30170	129	6	tree	tree	NOUN
ajst-30170	129	7	may	may	AUX
ajst-30170	129	8	first	first	ADV
ajst-30170	129	9	use	use	VERB
ajst-30170	129	10	"	"	PUNCT
ajst-30170	129	11	grouting	grout	VERB
ajst-30170	129	12	density	density	NOUN
ajst-30170	129	13	"	"	PUNCT
ajst-30170	129	14	as	as	ADP
ajst-30170	129	15	the	the	DET
ajst-30170	129	16	basis	basis	NOUN
ajst-30170	129	17	for	for	ADP
ajst-30170	129	18	root	root	NOUN
ajst-30170	129	19	node	node	ADJ
ajst-30170	129	20	division	division	NOUN
ajst-30170	129	21	.	.	PUNCT
ajst-30170	130	1	if	if	SCONJ
ajst-30170	130	2	the	the	DET
ajst-30170	130	3	density	density	NOUN
ajst-30170	130	4	is	be	AUX
ajst-30170	130	5	lower	low	ADJ
ajst-30170	130	6	than	than	ADP
ajst-30170	130	7	the	the	DET
ajst-30170	130	8	critical	critical	ADJ
ajst-30170	130	9	value	value	NOUN
ajst-30170	130	10	(	(	PUNCT
ajst-30170	130	11	such	such	ADJ
ajst-30170	130	12	as	as	ADP
ajst-30170	130	13	90	90	NUM
ajst-30170	130	14	%	%	NOUN
ajst-30170	130	15	)	)	PUNCT
ajst-30170	130	16	,	,	PUNCT
ajst-30170	130	17	it	it	PRON
ajst-30170	130	18	is	be	AUX
ajst-30170	130	19	directly	directly	ADV
ajst-30170	130	20	determined	determine	VERB
ajst-30170	130	21	as	as	ADP
ajst-30170	130	22	"	"	PUNCT
ajst-30170	130	23	unqualified	unqualified	ADJ
ajst-30170	130	24	"	"	PUNCT
ajst-30170	130	25	;	;	PUNCT
ajst-30170	130	26	if	if	SCONJ
ajst-30170	130	27	it	it	PRON
ajst-30170	130	28	is	be	AUX
ajst-30170	130	29	higher	high	ADJ
ajst-30170	130	30	than	than	ADP
ajst-30170	130	31	this	this	DET
ajst-30170	130	32	value	value	NOUN
ajst-30170	130	33	,	,	PUNCT
ajst-30170	130	34	it	it	PRON
ajst-30170	130	35	is	be	AUX
ajst-30170	130	36	further	far	ADV
ajst-30170	130	37	divided	divide	VERB
ajst-30170	130	38	according	accord	VERB
ajst-30170	130	39	to	to	ADP
ajst-30170	130	40	"	"	PUNCT
ajst-30170	130	41	grouting	grout	VERB
ajst-30170	130	42	material	material	ADJ
ajst-30170	130	43	compressive	compressive	ADJ
ajst-30170	130	44	strength	strength	NOUN
ajst-30170	130	45	"	"	PUNCT
ajst-30170	130	46	,	,	PUNCT
ajst-30170	130	47	forming	form	VERB
ajst-30170	130	48	a	a	DET
ajst-30170	130	49	tree	tree	NOUN
ajst-30170	130	50	shaped	shape	VERB
ajst-30170	130	51	judgment	judgment	NOUN
ajst-30170	130	52	chain	chain	NOUN
ajst-30170	130	53	.	.	PUNCT
ajst-30170	131	1	this	this	DET
ajst-30170	131	2	characteristic	characteristic	NOUN
ajst-30170	131	3	of	of	ADP
ajst-30170	131	4	explicit	explicit	ADJ
ajst-30170	131	5	rules	rule	NOUN
ajst-30170	131	6	enables	enable	VERB
ajst-30170	131	7	engineers	engineer	NOUN
ajst-30170	131	8	to	to	PART
ajst-30170	131	9	directly	directly	ADV
ajst-30170	131	10	identify	identify	VERB
ajst-30170	131	11	key	key	ADJ
ajst-30170	131	12	control	control	NOUN
ajst-30170	131	13	parameters	parameter	NOUN
ajst-30170	131	14	and	and	CCONJ
ajst-30170	131	15	their	their	PRON
ajst-30170	131	16	thresholds	threshold	NOUN
ajst-30170	131	17	.	.	PUNCT
ajst-30170	132	1	for	for	ADP
ajst-30170	132	2	example	example	NOUN
ajst-30170	132	3	,	,	PUNCT
ajst-30170	132	4	it	it	PRON
ajst-30170	132	5	is	be	AUX
ajst-30170	132	6	found	find	VERB
ajst-30170	132	7	that	that	SCONJ
ajst-30170	132	8	when	when	SCONJ
ajst-30170	132	9	the	the	DET
ajst-30170	132	10	combination	combination	NOUN
ajst-30170	132	11	of	of	ADP
ajst-30170	132	12	"	"	PUNCT
ajst-30170	132	13	curing	cure	VERB
ajst-30170	132	14	time	time	NOUN
ajst-30170	132	15	<	<	X
ajst-30170	132	16	24	24	NUM
ajst-30170	132	17	hours	hour	NOUN
ajst-30170	132	18	"	"	PUNCT
ajst-30170	132	19	and	and	CCONJ
ajst-30170	132	20	"	"	PUNCT
ajst-30170	132	21	winter	winter	NOUN
ajst-30170	132	22	construction	construction	NOUN
ajst-30170	132	23	"	"	PUNCT
ajst-30170	132	24	occurs	occur	VERB
ajst-30170	132	25	,	,	PUNCT
ajst-30170	132	26	the	the	DET
ajst-30170	132	27	risk	risk	NOUN
ajst-30170	132	28	of	of	ADP
ajst-30170	132	29	unqualified	unqualified	ADJ
ajst-30170	132	30	products	product	NOUN
ajst-30170	132	31	increases	increase	VERB
ajst-30170	132	32	significantly	significantly	ADV
ajst-30170	132	33	,	,	PUNCT
ajst-30170	132	34	so	so	SCONJ
ajst-30170	132	35	as	as	SCONJ
ajst-30170	132	36	to	to	PART
ajst-30170	132	37	optimize	optimize	VERB
ajst-30170	132	38	the	the	DET
ajst-30170	132	39	process	process	NOUN
ajst-30170	132	40	accordingly	accordingly	ADV
ajst-30170	132	41	.	.	PUNCT
ajst-30170	133	1	in	in	ADP
ajst-30170	133	2	addition	addition	NOUN
ajst-30170	133	3	,	,	PUNCT
ajst-30170	133	4	through	through	ADP
ajst-30170	133	5	feature	feature	NOUN
ajst-30170	133	6	importance	importance	NOUN
ajst-30170	133	7	ranking	rank	VERB
ajst-30170	133	8	(	(	PUNCT
ajst-30170	133	9	such	such	ADJ
ajst-30170	133	10	as	as	ADP
ajst-30170	133	11	based	base	VERB
ajst-30170	133	12	on	on	ADP
ajst-30170	133	13	the	the	DET
ajst-30170	133	14	information	information	NOUN
ajst-30170	133	15	gain	gain	NOUN
ajst-30170	133	16	amount	amount	NOUN
ajst-30170	133	17	when	when	SCONJ
ajst-30170	133	18	the	the	DET
ajst-30170	133	19	node	node	NOUN
ajst-30170	133	20	is	be	AUX
ajst-30170	133	21	split	split	ADJ
ajst-30170	133	22	)	)	PUNCT
ajst-30170	133	23	,	,	PUNCT
ajst-30170	133	24	the	the	DET
ajst-30170	133	25	influence	influence	NOUN
ajst-30170	133	26	weights	weight	NOUN
ajst-30170	133	27	of	of	ADP
ajst-30170	133	28	each	each	DET
ajst-30170	133	29	parameter	parameter	NOUN
ajst-30170	133	30	on	on	ADP
ajst-30170	133	31	the	the	DET
ajst-30170	133	32	performance	performance	NOUN
ajst-30170	133	33	can	can	AUX
ajst-30170	133	34	be	be	AUX
ajst-30170	133	35	quantitatively	quantitatively	ADV
ajst-30170	133	36	evaluated	evaluate	VERB
ajst-30170	133	37	to	to	PART
ajst-30170	133	38	assist	assist	VERB
ajst-30170	133	39	in	in	ADP
ajst-30170	133	40	construction	construction	NOUN
ajst-30170	133	41	priority	priority	NOUN
ajst-30170	133	42	management	management	NOUN
ajst-30170	133	43	.	.	PUNCT
ajst-30170	134	1	however	however	ADV
ajst-30170	134	2	,	,	PUNCT
ajst-30170	134	3	the	the	DET
ajst-30170	134	4	decision	decision	NOUN
ajst-30170	134	5	tree	tree	NOUN
ajst-30170	134	6	is	be	AUX
ajst-30170	134	7	sensitive	sensitive	ADJ
ajst-30170	134	8	to	to	ADP
ajst-30170	134	9	data	datum	NOUN
ajst-30170	134	10	noise	noise	NOUN
ajst-30170	134	11	.	.	PUNCT
ajst-30170	135	1	if	if	SCONJ
ajst-30170	135	2	there	there	PRON
ajst-30170	135	3	are	be	VERB
ajst-30170	135	4	abnormal	abnormal	ADJ
ajst-30170	135	5	measurement	measurement	NOUN
ajst-30170	135	6	values	value	NOUN
ajst-30170	135	7	or	or	CCONJ
ajst-30170	135	8	missing	miss	VERB
ajst-30170	135	9	values	value	NOUN
ajst-30170	135	10	in	in	ADP
ajst-30170	135	11	the	the	DET
ajst-30170	135	12	training	training	NOUN
ajst-30170	135	13	set	set	NOUN
ajst-30170	135	14	,	,	PUNCT
ajst-30170	135	15	redundant	redundant	ADJ
ajst-30170	135	16	branches	branch	NOUN
ajst-30170	135	17	may	may	AUX
ajst-30170	135	18	be	be	AUX
ajst-30170	135	19	generated	generate	VERB
ajst-30170	135	20	.	.	PUNCT
ajst-30170	136	1	it	it	PRON
ajst-30170	136	2	is	be	AUX
ajst-30170	136	3	necessary	necessary	ADJ
ajst-30170	136	4	to	to	PART
ajst-30170	136	5	combine	combine	VERB
ajst-30170	136	6	feature	feature	NOUN
ajst-30170	136	7	engineering	engineering	NOUN
ajst-30170	136	8	and	and	CCONJ
ajst-30170	136	9	ensemble	ensemble	ADJ
ajst-30170	136	10	methods	method	NOUN
ajst-30170	136	11	(	(	PUNCT
ajst-30170	136	12	such	such	ADJ
ajst-30170	136	13	as	as	ADP
ajst-30170	136	14	gradient	gradient	ADJ
ajst-30170	136	15	boosting	boost	VERB
ajst-30170	136	16	trees	tree	NOUN
ajst-30170	136	17	)	)	PUNCT
ajst-30170	136	18	to	to	PART
ajst-30170	136	19	improve	improve	VERB
ajst-30170	136	20	robustness	robustness	NOUN
ajst-30170	136	21	.	.	PUNCT
ajst-30170	137	1	nevertheless	nevertheless	ADV
ajst-30170	137	2	,	,	PUNCT
ajst-30170	137	3	its	its	PRON
ajst-30170	137	4	low	low	ADJ
ajst-30170	137	5	computational	computational	ADJ
ajst-30170	137	6	cost	cost	NOUN
ajst-30170	137	7	and	and	CCONJ
ajst-30170	137	8	rule	rule	VERB
ajst-30170	137	9	interpretability	interpretability	NOUN
ajst-30170	137	10	make	make	VERB
ajst-30170	137	11	it	it	PRON
ajst-30170	137	12	an	an	DET
ajst-30170	137	13	effective	effective	ADJ
ajst-30170	137	14	tool	tool	NOUN
ajst-30170	137	15	for	for	ADP
ajst-30170	137	16	on	on	ADP
ajst-30170	137	17	site	site	NOUN
ajst-30170	137	18	rapid	rapid	ADJ
ajst-30170	137	19	diagnosis	diagnosis	NOUN
ajst-30170	137	20	and	and	CCONJ
ajst-30170	137	21	quality	quality	NOUN
ajst-30170	137	22	control	control	NOUN
ajst-30170	137	23	,	,	PUNCT
ajst-30170	137	24	especially	especially	ADV
ajst-30170	137	25	suitable	suitable	ADJ
ajst-30170	137	26	for	for	ADP
ajst-30170	137	27	engineering	engineer	VERB
ajst-30170	137	28	scenarios	scenario	NOUN
ajst-30170	137	29	that	that	PRON
ajst-30170	137	30	require	require	VERB
ajst-30170	137	31	transparent	transparent	ADJ
ajst-30170	137	32	decision	decision	NOUN
ajst-30170	137	33	making	make	VERB
ajst-30170	137	34	bases	basis	NOUN
ajst-30170	137	35	.	.	PUNCT
ajst-30170	138	1	4	4	X
ajst-30170	138	2	.	.	NOUN
ajst-30170	138	3	advantages	advantage	NOUN
ajst-30170	138	4	and	and	CCONJ
ajst-30170	138	5	applications	application	NOUN
ajst-30170	138	6	of	of	ADP
ajst-30170	138	7	ensemble	ensemble	ADJ
ajst-30170	138	8	learning	learning	NOUN
ajst-30170	138	9	models	model	NOUN
ajst-30170	138	10	in	in	ADP
ajst-30170	138	11	predicting	predict	VERB
ajst-30170	138	12	the	the	DET
ajst-30170	138	13	performance	performance	NOUN
ajst-30170	138	14	of	of	ADP
ajst-30170	138	15	grouted	grouted	ADJ
ajst-30170	138	16	sleeve	sleeve	NOUN
ajst-30170	138	17	connections	connection	NOUN
ajst-30170	138	18	although	although	SCONJ
ajst-30170	138	19	single	single	ADJ
ajst-30170	138	20	machine	machine	NOUN
ajst-30170	138	21	learning	learn	VERB
ajst-30170	138	22	algorithms	algorithm	NOUN
ajst-30170	138	23	have	have	AUX
ajst-30170	138	24	achieved	achieve	VERB
ajst-30170	138	25	certain	certain	ADJ
ajst-30170	138	26	results	result	NOUN
ajst-30170	138	27	in	in	ADP
ajst-30170	138	28	predicting	predict	VERB
ajst-30170	138	29	the	the	DET
ajst-30170	138	30	performance	performance	NOUN
ajst-30170	138	31	of	of	ADP
ajst-30170	138	32	grouted	grouted	ADJ
ajst-30170	138	33	sleeve	sleeve	NOUN
ajst-30170	138	34	connections	connection	NOUN
ajst-30170	138	35	,	,	PUNCT
ajst-30170	138	36	due	due	ADP
ajst-30170	138	37	to	to	ADP
ajst-30170	138	38	the	the	DET
ajst-30170	138	39	complexity	complexity	NOUN
ajst-30170	138	40	and	and	CCONJ
ajst-30170	138	41	uncertainty	uncertainty	NOUN
ajst-30170	138	42	of	of	ADP
ajst-30170	138	43	the	the	DET
ajst-30170	138	44	influencing	influence	VERB
ajst-30170	138	45	factors	factor	NOUN
ajst-30170	138	46	of	of	ADP
ajst-30170	138	47	grouted	grout	VERB
ajst-30170	138	48	sleeve	sleeve	NOUN
ajst-30170	138	49	connection	connection	NOUN
ajst-30170	138	50	performance	performance	NOUN
ajst-30170	138	51	,	,	PUNCT
ajst-30170	138	52	the	the	DET
ajst-30170	138	53	prediction	prediction	NOUN
ajst-30170	138	54	accuracy	accuracy	NOUN
ajst-30170	138	55	of	of	ADP
ajst-30170	138	56	single	single	ADJ
ajst-30170	138	57	algorithms	algorithm	NOUN
ajst-30170	138	58	still	still	ADV
ajst-30170	138	59	needs	need	VERB
ajst-30170	138	60	to	to	PART
ajst-30170	138	61	be	be	AUX
ajst-30170	138	62	improved	improve	VERB
ajst-30170	138	63	.	.	PUNCT
ajst-30170	139	1	ensemble	ensemble	ADJ
ajst-30170	139	2	learning	learning	NOUN
ajst-30170	139	3	models	model	NOUN
ajst-30170	139	4	can	can	AUX
ajst-30170	139	5	effectively	effectively	ADV
ajst-30170	139	6	make	make	VERB
ajst-30170	139	7	up	up	ADP
ajst-30170	139	8	for	for	ADP
ajst-30170	139	9	the	the	DET
ajst-30170	139	10	deficiencies	deficiency	NOUN
ajst-30170	139	11	of	of	ADP
ajst-30170	139	12	single	single	ADJ
ajst-30170	139	13	models	model	NOUN
ajst-30170	139	14	and	and	CCONJ
ajst-30170	139	15	enhance	enhance	VERB
ajst-30170	139	16	the	the	DET
ajst-30170	139	17	overall	overall	ADJ
ajst-30170	139	18	prediction	prediction	NOUN
ajst-30170	139	19	performance	performance	NOUN
ajst-30170	139	20	by	by	ADP
ajst-30170	139	21	combining	combine	VERB
ajst-30170	139	22	the	the	DET
ajst-30170	139	23	prediction	prediction	NOUN
ajst-30170	139	24	results	result	NOUN
ajst-30170	139	25	of	of	ADP
ajst-30170	139	26	multiple	multiple	ADJ
ajst-30170	139	27	single	single	ADJ
ajst-30170	139	28	models	model	NOUN
ajst-30170	139	29	.	.	PUNCT
ajst-30170	140	1	ensemble	ensemble	ADJ
ajst-30170	140	2	learning	learning	NOUN
ajst-30170	140	3	improves	improve	VERB
ajst-30170	140	4	the	the	DET
ajst-30170	140	5	overall	overall	ADJ
ajst-30170	140	6	performance	performance	NOUN
ajst-30170	140	7	of	of	ADP
ajst-30170	140	8	the	the	DET
ajst-30170	140	9	model	model	NOUN
ajst-30170	140	10	by	by	ADP
ajst-30170	140	11	combining	combine	VERB
ajst-30170	140	12	the	the	DET
ajst-30170	140	13	prediction	prediction	NOUN
ajst-30170	140	14	results	result	NOUN
ajst-30170	140	15	of	of	ADP
ajst-30170	140	16	multiple	multiple	ADJ
ajst-30170	140	17	base	base	NOUN
ajst-30170	140	18	learners	learner	NOUN
ajst-30170	140	19	,	,	PUNCT
ajst-30170	140	20	using	use	VERB
ajst-30170	140	21	the	the	DET
ajst-30170	140	22	"	"	PUNCT
ajst-30170	140	23	wisdom	wisdom	NOUN
ajst-30170	140	24	of	of	ADP
ajst-30170	140	25	the	the	DET
ajst-30170	140	26	crowd	crowd	NOUN
ajst-30170	140	27	"	"	PUNCT
ajst-30170	140	28	.	.	PUNCT
ajst-30170	141	1	the	the	DET
ajst-30170	141	2	core	core	NOUN
ajst-30170	141	3	principle	principle	NOUN
ajst-30170	141	4	can	can	AUX
ajst-30170	141	5	be	be	AUX
ajst-30170	141	6	summarized	summarize	VERB
ajst-30170	141	7	as	as	ADP
ajst-30170	141	8	"	"	PUNCT
ajst-30170	141	9	three	three	NUM
ajst-30170	141	10	humble	humble	ADJ
ajst-30170	141	11	cobblers	cobbler	NOUN
ajst-30170	141	12	with	with	ADP
ajst-30170	141	13	their	their	PRON
ajst-30170	141	14	wits	wit	NOUN
ajst-30170	141	15	combined	combine	VERB
ajst-30170	141	16	equal	equal	ADJ
ajst-30170	141	17	zhuge	zhuge	PROPN
ajst-30170	141	18	liang	liang	PROPN
ajst-30170	141	19	the	the	DET
ajst-30170	141	20	mastermind	mastermind	NOUN
ajst-30170	141	21	"	"	PUNCT
ajst-30170	141	22	.	.	PUNCT
ajst-30170	142	1	common	common	ADJ
ajst-30170	142	2	ensemble	ensemble	ADJ
ajst-30170	142	3	learning	learning	NOUN
ajst-30170	142	4	methods	method	NOUN
ajst-30170	142	5	include	include	VERB
ajst-30170	142	6	bagging	bag	VERB
ajst-30170	142	7	,	,	PUNCT
ajst-30170	142	8	boosting	boost	VERB
ajst-30170	142	9	,	,	PUNCT
ajst-30170	142	10	and	and	CCONJ
ajst-30170	142	11	stacking	stacking	NOUN
ajst-30170	142	12	,	,	PUNCT
ajst-30170	142	13	etc	etc	X
ajst-30170	142	14	.	.	X
ajst-30170	142	15	for	for	ADP
ajst-30170	142	16	example	example	NOUN
ajst-30170	142	17	,	,	PUNCT
ajst-30170	142	18	zhang	zhang	PROPN
ajst-30170	142	19	y	y	PROPN
ajst-30170	142	20	et	et	PROPN
ajst-30170	142	21	al	al	PROPN
ajst-30170	142	22	.	.	PUNCT
ajst-30170	143	1	an	an	DET
ajst-30170	143	2	evolutionary	evolutionary	ADJ
ajst-30170	143	3	based	base	VERB
ajst-30170	143	4	selective	selective	ADJ
ajst-30170	143	5	ensemble	ensemble	ADJ
ajst-30170	143	6	learning	learning	NOUN
ajst-30170	143	7	framework	framework	NOUN
ajst-30170	143	8	was	be	AUX
ajst-30170	143	9	proposed	propose	VERB
ajst-30170	143	10	to	to	PART
ajst-30170	143	11	address	address	VERB
ajst-30170	143	12	classification	classification	NOUN
ajst-30170	143	13	problems	problem	NOUN
ajst-30170	143	14	.	.	PUNCT
ajst-30170	144	1	in	in	ADP
ajst-30170	144	2	this	this	DET
ajst-30170	144	3	proposed	propose	VERB
ajst-30170	144	4	ensemble	ensemble	ADJ
ajst-30170	144	5	learning	learning	NOUN
ajst-30170	144	6	framework	framework	NOUN
ajst-30170	144	7	,	,	PUNCT
ajst-30170	144	8	the	the	DET
ajst-30170	144	9	extreme	extreme	ADJ
ajst-30170	144	10	learning	learning	NOUN
ajst-30170	144	11	machine	machine	NOUN
ajst-30170	144	12	(	(	PUNCT
ajst-30170	144	13	elm	elm	PROPN
ajst-30170	144	14	)	)	PUNCT
ajst-30170	144	15	was	be	AUX
ajst-30170	144	16	chosen	choose	VERB
ajst-30170	144	17	as	as	ADP
ajst-30170	144	18	the	the	DET
ajst-30170	144	19	basic	basic	ADJ
ajst-30170	144	20	learner	learner	NOUN
ajst-30170	144	21	,	,	PUNCT
ajst-30170	144	22	and	and	CCONJ
ajst-30170	144	23	an	an	DET
ajst-30170	144	24	evolutionary	evolutionary	ADJ
ajst-30170	144	25	algorithm	algorithm	NOUN
ajst-30170	144	26	was	be	AUX
ajst-30170	144	27	employed	employ	VERB
ajst-30170	144	28	to	to	PART
ajst-30170	144	29	optimize	optimize	VERB
ajst-30170	144	30	the	the	DET
ajst-30170	144	31	weights	weight	NOUN
ajst-30170	144	32	of	of	ADP
ajst-30170	144	33	the	the	DET
ajst-30170	144	34	basic	basic	ADJ
ajst-30170	144	35	learners	learner	NOUN
ajst-30170	144	36	within	within	ADP
ajst-30170	144	37	the	the	DET
ajst-30170	144	38	ensemble	ensemble	ADJ
ajst-30170	144	39	[	[	X
ajst-30170	144	40	11	11	NUM
ajst-30170	144	41	]	]	PUNCT
ajst-30170	144	42	.	.	PUNCT
ajst-30170	145	1	webb	webb	PROPN
ajst-30170	146	1	i	i	PRON
ajst-30170	146	2	g	g	PROPN
ajst-30170	146	3	et	et	PROPN
ajst-30170	146	4	al	al	PROPN
ajst-30170	146	5	.	.	PUNCT
ajst-30170	147	1	it	it	PRON
ajst-30170	147	2	has	have	AUX
ajst-30170	147	3	been	be	AUX
ajst-30170	147	4	revealed	reveal	VERB
ajst-30170	147	5	that	that	SCONJ
ajst-30170	147	6	ensemble	ensemble	ADJ
ajst-30170	147	7	learning	learning	NOUN
ajst-30170	147	8	strategies	strategy	NOUN
ajst-30170	147	9	,	,	PUNCT
ajst-30170	147	10	with	with	ADP
ajst-30170	147	11	a	a	DET
ajst-30170	147	12	particular	particular	ADJ
ajst-30170	147	13	emphasis	emphasis	NOUN
ajst-30170	147	14	on	on	ADP
ajst-30170	147	15	boosting	boost	VERB
ajst-30170	147	16	and	and	CCONJ
ajst-30170	147	17	bagging	bag	VERB
ajst-30170	147	18	decision	decision	NOUN
ajst-30170	147	19	trees	tree	NOUN
ajst-30170	147	20	,	,	PUNCT
ajst-30170	147	21	have	have	AUX
ajst-30170	147	22	manifested	manifest	VERB
ajst-30170	147	23	remarkable	remarkable	ADJ
ajst-30170	147	24	capabilities	capability	NOUN
ajst-30170	147	25	in	in	ADP
ajst-30170	147	26	enhancing	enhance	VERB
ajst-30170	147	27	the	the	DET
ajst-30170	147	28	prediction	prediction	NOUN
ajst-30170	147	29	accuracy	accuracy	NOUN
ajst-30170	147	30	of	of	ADP
ajst-30170	147	31	basic	basic	ADJ
ajst-30170	147	32	learning	learning	NOUN
ajst-30170	147	33	algorithms	algorithm	NOUN
ajst-30170	147	34	[	[	X
ajst-30170	147	35	12	12	NUM
ajst-30170	147	36	]	]	PUNCT
ajst-30170	147	37	the	the	DET
ajst-30170	147	38	bagging	bagging	NOUN
ajst-30170	147	39	technique	technique	NOUN
ajst-30170	147	40	creates	create	VERB
ajst-30170	147	41	numerous	numerous	ADJ
ajst-30170	147	42	sub	sub	NOUN
ajst-30170	147	43	datasets	dataset	NOUN
ajst-30170	147	44	through	through	ADP
ajst-30170	147	45	the	the	DET
ajst-30170	147	46	process	process	NOUN
ajst-30170	147	47	of	of	ADP
ajst-30170	147	48	sampling	sample	VERB
ajst-30170	147	49	the	the	DET
ajst-30170	147	50	original	original	ADJ
ajst-30170	147	51	data	datum	NOUN
ajst-30170	147	52	with	with	ADP
ajst-30170	147	53	replacement	replacement	NOUN
ajst-30170	147	54	.	.	PUNCT
ajst-30170	148	1	subsequently	subsequently	ADV
ajst-30170	148	2	,	,	PUNCT
ajst-30170	148	3	it	it	PRON
ajst-30170	148	4	trains	train	VERB
ajst-30170	148	5	a	a	DET
ajst-30170	148	6	model	model	NOUN
ajst-30170	148	7	for	for	SCONJ
ajst-30170	148	8	each	each	DET
ajst-30170	148	9	individual	individual	ADJ
ajst-30170	148	10	sub	sub	NOUN
ajst-30170	148	11	dataset	dataset	VERB
ajst-30170	148	12	.	.	PUNCT
ajst-30170	149	1	ultimately	ultimately	ADV
ajst-30170	149	2	,	,	PUNCT
ajst-30170	149	3	it	it	PRON
ajst-30170	149	4	combines	combine	VERB
ajst-30170	149	5	the	the	DET
ajst-30170	149	6	prediction	prediction	NOUN
ajst-30170	149	7	outcomes	outcome	NOUN
ajst-30170	149	8	of	of	ADP
ajst-30170	149	9	these	these	DET
ajst-30170	149	10	models	model	NOUN
ajst-30170	149	11	(	(	PUNCT
ajst-30170	149	12	for	for	ADP
ajst-30170	149	13	instance	instance	NOUN
ajst-30170	149	14	,	,	PUNCT
ajst-30170	149	15	through	through	ADP
ajst-30170	149	16	voting	voting	NOUN
ajst-30170	149	17	or	or	CCONJ
ajst-30170	149	18	averaging	average	VERB
ajst-30170	149	19	operations	operation	NOUN
ajst-30170	149	20	)	)	PUNCT
ajst-30170	149	21	to	to	PART
ajst-30170	149	22	yield	yield	VERB
ajst-30170	149	23	the	the	DET
ajst-30170	149	24	final	final	ADJ
ajst-30170	149	25	prediction	prediction	NOUN
ajst-30170	149	26	.	.	PUNCT
ajst-30170	150	1	take	take	VERB
ajst-30170	150	2	the	the	DET
ajst-30170	150	3	random	random	ADJ
ajst-30170	150	4	forest	forest	NOUN
ajst-30170	150	5	as	as	ADP
ajst-30170	150	6	an	an	DET
ajst-30170	150	7	example	example	NOUN
ajst-30170	150	8	.	.	PUNCT
ajst-30170	151	1	it	it	PRON
ajst-30170	151	2	is	be	AUX
ajst-30170	151	3	an	an	DET
ajst-30170	151	4	ensemble	ensemble	ADJ
ajst-30170	151	5	learning	learning	NOUN
ajst-30170	151	6	algorithm	algorithm	NOUN
ajst-30170	151	7	based	base	VERB
ajst-30170	151	8	on	on	ADP
ajst-30170	151	9	bagging	bagging	NOUN
ajst-30170	151	10	and	and	CCONJ
ajst-30170	151	11	consists	consist	VERB
ajst-30170	151	12	of	of	ADP
ajst-30170	151	13	multiple	multiple	ADJ
ajst-30170	151	14	decision	decision	NOUN
ajst-30170	151	15	trees	tree	NOUN
ajst-30170	151	16	.	.	PUNCT
ajst-30170	152	1	during	during	ADP
ajst-30170	152	2	the	the	DET
ajst-30170	152	3	prediction	prediction	NOUN
ajst-30170	152	4	of	of	ADP
ajst-30170	152	5	the	the	DET
ajst-30170	152	6	performance	performance	NOUN
ajst-30170	152	7	of	of	ADP
ajst-30170	152	8	grouted	grouted	ADJ
ajst-30170	152	9	sleeve	sleeve	NOUN
ajst-30170	152	10	connections	connection	NOUN
ajst-30170	152	11	,	,	PUNCT
ajst-30170	152	12	every	every	DET
ajst-30170	152	13	decision	decision	NOUN
ajst-30170	152	14	tree	tree	NOUN
ajst-30170	152	15	within	within	ADP
ajst-30170	152	16	the	the	DET
ajst-30170	152	17	random	random	ADJ
ajst-30170	152	18	forest	forest	NOUN
ajst-30170	152	19	undergoes	undergoe	NOUN
ajst-30170	152	20	training	training	NOUN
ajst-30170	152	21	on	on	ADP
ajst-30170	152	22	a	a	DET
ajst-30170	152	23	distinct	distinct	ADJ
ajst-30170	152	24	sub	sub	NOUN
ajst-30170	152	25	dataset	dataset	NOUN
ajst-30170	152	26	.	.	PUNCT
ajst-30170	153	1	by	by	ADP
ajst-30170	153	2	synthesizing	synthesize	VERB
ajst-30170	153	3	the	the	DET
ajst-30170	153	4	prediction	prediction	NOUN
ajst-30170	153	5	results	result	NOUN
ajst-30170	153	6	of	of	ADP
ajst-30170	153	7	all	all	DET
ajst-30170	153	8	decision	decision	NOUN
ajst-30170	153	9	trees	tree	NOUN
ajst-30170	153	10	,	,	PUNCT
ajst-30170	153	11	it	it	PRON
ajst-30170	153	12	can	can	AUX
ajst-30170	153	13	reduce	reduce	VERB
ajst-30170	153	14	the	the	DET
ajst-30170	153	15	variance	variance	NOUN
ajst-30170	153	16	of	of	ADP
ajst-30170	153	17	the	the	DET
ajst-30170	153	18	model	model	NOUN
ajst-30170	153	19	and	and	CCONJ
ajst-30170	153	20	improve	improve	VERB
ajst-30170	153	21	the	the	DET
ajst-30170	153	22	stability	stability	NOUN
ajst-30170	153	23	and	and	CCONJ
ajst-30170	153	24	accuracy	accuracy	NOUN
ajst-30170	153	25	of	of	ADP
ajst-30170	153	26	the	the	DET
ajst-30170	153	27	prediction	prediction	NOUN
ajst-30170	153	28	.	.	PUNCT
ajst-30170	154	1	the	the	DET
ajst-30170	154	2	boosting	boost	VERB
ajst-30170	154	3	method	method	NOUN
ajst-30170	154	4	iteratively	iteratively	ADV
ajst-30170	154	5	trains	train	VERB
ajst-30170	154	6	a	a	DET
ajst-30170	154	7	series	series	NOUN
ajst-30170	154	8	of	of	ADP
ajst-30170	154	9	weak	weak	ADJ
ajst-30170	154	10	learners	learner	NOUN
ajst-30170	154	11	,	,	PUNCT
ajst-30170	154	12	and	and	CCONJ
ajst-30170	154	13	each	each	DET
ajst-30170	154	14	new	new	ADJ
ajst-30170	154	15	learner	learner	NOUN
ajst-30170	154	16	is	be	AUX
ajst-30170	154	17	dedicated	dedicate	VERB
ajst-30170	154	18	to	to	ADP
ajst-30170	154	19	correcting	correct	VERB
ajst-30170	154	20	the	the	DET
ajst-30170	154	21	errors	error	NOUN
ajst-30170	154	22	of	of	ADP
ajst-30170	154	23	the	the	DET
ajst-30170	154	24	previous	previous	ADJ
ajst-30170	154	25	learner	learner	NOUN
ajst-30170	154	26	.	.	PUNCT
ajst-30170	155	1	adaboost	adaboost	ADV
ajst-30170	155	2	and	and	CCONJ
ajst-30170	155	3	the	the	DET
ajst-30170	155	4	gradient	gradient	NOUN
ajst-30170	155	5	boosting	boost	VERB
ajst-30170	155	6	tree	tree	NOUN
ajst-30170	155	7	are	be	AUX
ajst-30170	155	8	typical	typical	ADJ
ajst-30170	155	9	boosting	boost	VERB
ajst-30170	155	10	algorithms	algorithm	NOUN
ajst-30170	155	11	.	.	PUNCT
ajst-30170	156	1	when	when	SCONJ
ajst-30170	156	2	predicting	predict	VERB
ajst-30170	156	3	the	the	DET
ajst-30170	156	4	performance	performance	NOUN
ajst-30170	156	5	of	of	ADP
ajst-30170	156	6	grouted	grouted	ADJ
ajst-30170	156	7	sleeve	sleeve	NOUN
ajst-30170	156	8	connections	connection	NOUN
ajst-30170	156	9	,	,	PUNCT
ajst-30170	156	10	these	these	DET
ajst-30170	156	11	algorithms	algorithm	NOUN
ajst-30170	156	12	continuously	continuously	ADV
ajst-30170	156	13	adjust	adjust	VERB
ajst-30170	156	14	the	the	DET
ajst-30170	156	15	weights	weight	NOUN
ajst-30170	156	16	of	of	ADP
ajst-30170	156	17	the	the	DET
ajst-30170	156	18	model	model	NOUN
ajst-30170	156	19	step	step	NOUN
ajst-30170	156	20	by	by	ADP
ajst-30170	156	21	step	step	NOUN
ajst-30170	156	22	,	,	PUNCT
ajst-30170	156	23	enabling	enable	VERB
ajst-30170	156	24	the	the	DET
ajst-30170	156	25	model	model	NOUN
ajst-30170	156	26	to	to	PART
ajst-30170	156	27	pay	pay	VERB
ajst-30170	156	28	more	more	ADJ
ajst-30170	156	29	attention	attention	NOUN
ajst-30170	156	30	to	to	ADP
ajst-30170	156	31	the	the	DET
ajst-30170	156	32	data	data	NOUN
ajst-30170	156	33	points	point	NOUN
ajst-30170	156	34	that	that	PRON
ajst-30170	156	35	are	be	AUX
ajst-30170	156	36	difficult	difficult	ADJ
ajst-30170	156	37	to	to	PART
ajst-30170	156	38	predict	predict	VERB
ajst-30170	156	39	,	,	PUNCT
ajst-30170	156	40	thereby	thereby	ADV
ajst-30170	156	41	continuously	continuously	ADV
ajst-30170	156	42	improving	improve	VERB
ajst-30170	156	43	the	the	DET
ajst-30170	156	44	prediction	prediction	NOUN
ajst-30170	156	45	performance	performance	NOUN
ajst-30170	156	46	.	.	PUNCT
ajst-30170	157	1	the	the	DET
ajst-30170	157	2	stacking	stacking	NOUN
ajst-30170	157	3	method	method	NOUN
ajst-30170	157	4	first	first	ADV
ajst-30170	157	5	uses	use	VERB
ajst-30170	157	6	multiple	multiple	ADJ
ajst-30170	157	7	base	base	NOUN
ajst-30170	157	8	models	model	NOUN
ajst-30170	157	9	for	for	ADP
ajst-30170	157	10	prediction	prediction	NOUN
ajst-30170	157	11	,	,	PUNCT
ajst-30170	157	12	and	and	CCONJ
ajst-30170	157	13	then	then	ADV
ajst-30170	157	14	takes	take	VERB
ajst-30170	157	15	the	the	DET
ajst-30170	157	16	prediction	prediction	NOUN
ajst-30170	157	17	results	result	NOUN
ajst-30170	157	18	of	of	ADP
ajst-30170	157	19	these	these	DET
ajst-30170	157	20	base	base	NOUN
ajst-30170	157	21	models	model	NOUN
ajst-30170	157	22	as	as	ADP
ajst-30170	157	23	new	new	ADJ
ajst-30170	157	24	features	feature	NOUN
ajst-30170	157	25	and	and	CCONJ
ajst-30170	157	26	inputs	input	VERB
ajst-30170	157	27	them	they	PRON
ajst-30170	157	28	into	into	ADP
ajst-30170	157	29	another	another	DET
ajst-30170	157	30	model	model	NOUN
ajst-30170	157	31	(	(	PUNCT
ajst-30170	157	32	meta	meta	PROPN
ajst-30170	157	33	model	model	NOUN
ajst-30170	157	34	)	)	PUNCT
ajst-30170	157	35	for	for	ADP
ajst-30170	157	36	retraining	retraining	NOUN
ajst-30170	157	37	and	and	CCONJ
ajst-30170	157	38	prediction	prediction	NOUN
ajst-30170	157	39	.	.	PUNCT
ajst-30170	158	1	for	for	ADP
ajst-30170	158	2	example	example	NOUN
ajst-30170	158	3	,	,	PUNCT
ajst-30170	158	4	first	first	ADV
ajst-30170	158	5	use	use	VERB
ajst-30170	158	6	an	an	DET
ajst-30170	158	7	artificial	artificial	ADJ
ajst-30170	158	8	neural	neural	ADJ
ajst-30170	158	9	network	network	NOUN
ajst-30170	158	10	,	,	PUNCT
ajst-30170	158	11	a	a	DET
ajst-30170	158	12	support	support	NOUN
ajst-30170	158	13	vector	vector	NOUN
ajst-30170	158	14	machine	machine	NOUN
ajst-30170	158	15	,	,	PUNCT
ajst-30170	158	16	34	34	NUM
ajst-30170	158	17	and	and	CCONJ
ajst-30170	158	18	a	a	DET
ajst-30170	158	19	decision	decision	NOUN
ajst-30170	158	20	tree	tree	NOUN
ajst-30170	158	21	to	to	PART
ajst-30170	158	22	make	make	VERB
ajst-30170	158	23	a	a	DET
ajst-30170	158	24	preliminary	preliminary	ADJ
ajst-30170	158	25	prediction	prediction	NOUN
ajst-30170	158	26	of	of	ADP
ajst-30170	158	27	the	the	DET
ajst-30170	158	28	connection	connection	NOUN
ajst-30170	158	29	strength	strength	NOUN
ajst-30170	158	30	of	of	ADP
ajst-30170	158	31	the	the	DET
ajst-30170	158	32	grouted	grouted	ADJ
ajst-30170	158	33	sleeve	sleeve	NOUN
ajst-30170	158	34	.	.	PUNCT
ajst-30170	159	1	take	take	VERB
ajst-30170	159	2	the	the	DET
ajst-30170	159	3	predicted	predict	VERB
ajst-30170	159	4	values	value	NOUN
ajst-30170	159	5	of	of	ADP
ajst-30170	159	6	these	these	DET
ajst-30170	159	7	three	three	NUM
ajst-30170	159	8	models	model	NOUN
ajst-30170	159	9	as	as	ADP
ajst-30170	159	10	new	new	ADJ
ajst-30170	159	11	features	feature	NOUN
ajst-30170	159	12	,	,	PUNCT
ajst-30170	159	13	and	and	CCONJ
ajst-30170	159	14	then	then	ADV
ajst-30170	159	15	use	use	VERB
ajst-30170	159	16	a	a	DET
ajst-30170	159	17	logistic	logistic	ADJ
ajst-30170	159	18	regression	regression	NOUN
ajst-30170	159	19	model	model	NOUN
ajst-30170	159	20	as	as	ADP
ajst-30170	159	21	the	the	DET
ajst-30170	159	22	meta	meta	PROPN
ajst-30170	159	23	model	model	NOUN
ajst-30170	159	24	for	for	ADP
ajst-30170	159	25	training	training	NOUN
ajst-30170	159	26	.	.	PUNCT
ajst-30170	160	1	finally	finally	ADV
ajst-30170	160	2	,	,	PUNCT
ajst-30170	160	3	the	the	DET
ajst-30170	160	4	meta	meta	PROPN
ajst-30170	160	5	model	model	NOUN
ajst-30170	160	6	gives	give	VERB
ajst-30170	160	7	the	the	DET
ajst-30170	160	8	prediction	prediction	NOUN
ajst-30170	160	9	results	result	NOUN
ajst-30170	160	10	of	of	ADP
ajst-30170	160	11	the	the	DET
ajst-30170	160	12	ensemble	ensemble	ADJ
ajst-30170	160	13	model	model	NOUN
ajst-30170	160	14	.	.	PUNCT
ajst-30170	161	1	in	in	ADP
ajst-30170	161	2	the	the	DET
ajst-30170	161	3	prediction	prediction	NOUN
ajst-30170	161	4	of	of	ADP
ajst-30170	161	5	the	the	DET
ajst-30170	161	6	performance	performance	NOUN
ajst-30170	161	7	of	of	ADP
ajst-30170	161	8	steel	steel	NOUN
ajst-30170	161	9	pipe	pipe	NOUN
ajst-30170	161	10	grouted	grout	VERB
ajst-30170	161	11	sleeve	sleeve	NOUN
ajst-30170	161	12	connections	connection	NOUN
ajst-30170	161	13	,	,	PUNCT
ajst-30170	161	14	ensemble	ensemble	ADJ
ajst-30170	161	15	algorithms	algorithm	NOUN
ajst-30170	161	16	can	can	AUX
ajst-30170	161	17	effectively	effectively	ADV
ajst-30170	161	18	deal	deal	VERB
ajst-30170	161	19	with	with	ADP
ajst-30170	161	20	problems	problem	NOUN
ajst-30170	161	21	such	such	ADJ
ajst-30170	161	22	as	as	ADP
ajst-30170	161	23	multi	multi	ADJ
ajst-30170	161	24	scale	scale	NOUN
ajst-30170	161	25	,	,	PUNCT
ajst-30170	161	26	nonlinearity	nonlinearity	NOUN
ajst-30170	161	27	,	,	PUNCT
ajst-30170	161	28	and	and	CCONJ
ajst-30170	161	29	noise	noise	NOUN
ajst-30170	161	30	interference	interference	NOUN
ajst-30170	161	31	in	in	ADP
ajst-30170	161	32	complex	complex	ADJ
ajst-30170	161	33	engineering	engineering	NOUN
ajst-30170	161	34	data	datum	NOUN
ajst-30170	161	35	.	.	PUNCT
ajst-30170	162	1	the	the	DET
ajst-30170	162	2	mechanical	mechanical	ADJ
ajst-30170	162	3	properties	property	NOUN
ajst-30170	162	4	of	of	ADP
ajst-30170	162	5	grouted	grouted	ADJ
ajst-30170	162	6	sleeves	sleeve	NOUN
ajst-30170	162	7	are	be	AUX
ajst-30170	162	8	affected	affect	VERB
ajst-30170	162	9	by	by	ADP
ajst-30170	162	10	the	the	DET
ajst-30170	162	11	coupling	coupling	NOUN
ajst-30170	162	12	of	of	ADP
ajst-30170	162	13	multiple	multiple	ADJ
ajst-30170	162	14	factors	factor	NOUN
ajst-30170	162	15	such	such	ADJ
ajst-30170	162	16	as	as	ADP
ajst-30170	162	17	grouting	grout	VERB
ajst-30170	162	18	density	density	NOUN
ajst-30170	162	19	,	,	PUNCT
ajst-30170	162	20	material	material	NOUN
ajst-30170	162	21	parameters	parameter	NOUN
ajst-30170	162	22	,	,	PUNCT
ajst-30170	162	23	and	and	CCONJ
ajst-30170	162	24	construction	construction	NOUN
ajst-30170	162	25	technology	technology	NOUN
ajst-30170	162	26	.	.	PUNCT
ajst-30170	163	1	a	a	DET
ajst-30170	163	2	single	single	ADJ
ajst-30170	163	3	model	model	NOUN
ajst-30170	163	4	may	may	AUX
ajst-30170	163	5	only	only	ADV
ajst-30170	163	6	be	be	AUX
ajst-30170	163	7	able	able	ADJ
ajst-30170	163	8	to	to	PART
ajst-30170	163	9	capture	capture	VERB
ajst-30170	163	10	local	local	ADJ
ajst-30170	163	11	feature	feature	NOUN
ajst-30170	163	12	correlations	correlation	NOUN
ajst-30170	163	13	,	,	PUNCT
ajst-30170	163	14	while	while	SCONJ
ajst-30170	163	15	an	an	DET
ajst-30170	163	16	ensemble	ensemble	ADJ
ajst-30170	163	17	model	model	NOUN
ajst-30170	163	18	,	,	PUNCT
ajst-30170	163	19	through	through	ADP
ajst-30170	163	20	the	the	DET
ajst-30170	163	21	collaboration	collaboration	NOUN
ajst-30170	163	22	of	of	ADP
ajst-30170	163	23	multiple	multiple	ADJ
ajst-30170	163	24	base	base	NOUN
ajst-30170	163	25	learners	learner	NOUN
ajst-30170	163	26	,	,	PUNCT
ajst-30170	163	27	can	can	AUX
ajst-30170	163	28	more	more	ADV
ajst-30170	163	29	comprehensively	comprehensively	ADV
ajst-30170	163	30	map	map	VERB
ajst-30170	163	31	the	the	DET
ajst-30170	163	32	complex	complex	ADJ
ajst-30170	163	33	relationships	relationship	NOUN
ajst-30170	163	34	between	between	ADP
ajst-30170	163	35	input	input	NOUN
ajst-30170	163	36	features	feature	NOUN
ajst-30170	163	37	and	and	CCONJ
ajst-30170	163	38	performance	performance	NOUN
ajst-30170	163	39	.	.	PUNCT
ajst-30170	164	1	for	for	ADP
ajst-30170	164	2	example	example	NOUN
ajst-30170	164	3	,	,	PUNCT
ajst-30170	164	4	the	the	DET
ajst-30170	164	5	random	random	ADJ
ajst-30170	164	6	forest	forest	NOUN
ajst-30170	164	7	reduces	reduce	VERB
ajst-30170	164	8	the	the	DET
ajst-30170	164	9	sensitivity	sensitivity	NOUN
ajst-30170	164	10	of	of	ADP
ajst-30170	164	11	decision	decision	NOUN
ajst-30170	164	12	trees	tree	NOUN
ajst-30170	164	13	to	to	ADP
ajst-30170	164	14	specific	specific	ADJ
ajst-30170	164	15	noise	noise	NOUN
ajst-30170	164	16	features	feature	NOUN
ajst-30170	164	17	through	through	ADP
ajst-30170	164	18	random	random	ADJ
ajst-30170	164	19	feature	feature	NOUN
ajst-30170	164	20	subset	subset	NOUN
ajst-30170	164	21	selection	selection	NOUN
ajst-30170	164	22	and	and	CCONJ
ajst-30170	164	23	sample	sample	NOUN
ajst-30170	164	24	resampling	resampling	NOUN
ajst-30170	164	25	,	,	PUNCT
ajst-30170	164	26	and	and	CCONJ
ajst-30170	164	27	improves	improve	VERB
ajst-30170	164	28	the	the	DET
ajst-30170	164	29	robustness	robustness	NOUN
ajst-30170	164	30	to	to	ADP
ajst-30170	164	31	grouting	grout	VERB
ajst-30170	164	32	defects	defect	NOUN
ajst-30170	164	33	(	(	PUNCT
ajst-30170	164	34	such	such	ADJ
ajst-30170	164	35	as	as	ADP
ajst-30170	164	36	local	local	ADJ
ajst-30170	164	37	cavities	cavity	NOUN
ajst-30170	164	38	)	)	PUNCT
ajst-30170	164	39	.	.	PUNCT
ajst-30170	165	1	the	the	DET
ajst-30170	165	2	gradient	gradient	NOUN
ajst-30170	165	3	boosting	boost	VERB
ajst-30170	165	4	decision	decision	NOUN
ajst-30170	165	5	tree	tree	NOUN
ajst-30170	165	6	(	(	PUNCT
ajst-30170	165	7	gbdt	gbdt	NOUN
ajst-30170	165	8	)	)	PUNCT
ajst-30170	165	9	accurately	accurately	ADV
ajst-30170	165	10	identifies	identify	VERB
ajst-30170	165	11	the	the	DET
ajst-30170	165	12	marginal	marginal	ADJ
ajst-30170	165	13	contribution	contribution	NOUN
ajst-30170	165	14	of	of	ADP
ajst-30170	165	15	construction	construction	NOUN
ajst-30170	165	16	parameters	parameter	NOUN
ajst-30170	165	17	(	(	PUNCT
ajst-30170	165	18	such	such	ADJ
ajst-30170	165	19	as	as	ADP
ajst-30170	165	20	the	the	DET
ajst-30170	165	21	combined	combined	ADJ
ajst-30170	165	22	effect	effect	NOUN
ajst-30170	165	23	of	of	ADP
ajst-30170	165	24	grouting	grout	VERB
ajst-30170	165	25	pressure	pressure	NOUN
ajst-30170	165	26	and	and	CCONJ
ajst-30170	165	27	curing	cure	VERB
ajst-30170	165	28	time	time	NOUN
ajst-30170	165	29	)	)	PUNCT
ajst-30170	165	30	to	to	PART
ajst-30170	165	31	performance	performance	NOUN
ajst-30170	165	32	by	by	ADP
ajst-30170	165	33	iteratively	iteratively	ADV
ajst-30170	165	34	optimizing	optimize	VERB
ajst-30170	165	35	the	the	DET
ajst-30170	165	36	residuals	residual	NOUN
ajst-30170	165	37	.	.	PUNCT
ajst-30170	166	1	heterogeneous	heterogeneous	ADJ
ajst-30170	166	2	integration	integration	NOUN
ajst-30170	166	3	(	(	PUNCT
ajst-30170	166	4	such	such	ADJ
ajst-30170	166	5	as	as	ADP
ajst-30170	166	6	stacking	stacking	NOUN
ajst-30170	166	7	)	)	PUNCT
ajst-30170	166	8	can	can	AUX
ajst-30170	166	9	integrate	integrate	VERB
ajst-30170	166	10	the	the	DET
ajst-30170	166	11	linear	linear	ADJ
ajst-30170	166	12	discrimination	discrimination	NOUN
ajst-30170	166	13	ability	ability	NOUN
ajst-30170	166	14	of	of	ADP
ajst-30170	166	15	logistic	logistic	ADJ
ajst-30170	166	16	regression	regression	NOUN
ajst-30170	166	17	and	and	CCONJ
ajst-30170	166	18	the	the	DET
ajst-30170	166	19	nonlinear	nonlinear	ADJ
ajst-30170	166	20	classification	classification	NOUN
ajst-30170	166	21	advantage	advantage	NOUN
ajst-30170	166	22	of	of	ADP
ajst-30170	166	23	svm	svm	NOUN
ajst-30170	166	24	to	to	PART
ajst-30170	166	25	adapt	adapt	VERB
ajst-30170	166	26	to	to	ADP
ajst-30170	166	27	the	the	DET
ajst-30170	166	28	joint	joint	ADJ
ajst-30170	166	29	analysis	analysis	NOUN
ajst-30170	166	30	of	of	ADP
ajst-30170	166	31	multi	multi	ADJ
ajst-30170	166	32	source	source	NOUN
ajst-30170	166	33	heterogeneous	heterogeneous	ADJ
ajst-30170	166	34	data	datum	NOUN
ajst-30170	166	35	(	(	PUNCT
ajst-30170	166	36	such	such	ADJ
ajst-30170	166	37	as	as	ADP
ajst-30170	166	38	numerical	numerical	ADJ
ajst-30170	166	39	sensor	sensor	PROPN
ajst-30170	166	40	data	datum	NOUN
ajst-30170	166	41	and	and	CCONJ
ajst-30170	166	42	categorical	categorical	ADJ
ajst-30170	166	43	process	process	NOUN
ajst-30170	166	44	records	record	NOUN
ajst-30170	166	45	)	)	PUNCT
ajst-30170	166	46	.	.	PUNCT
ajst-30170	167	1	in	in	ADP
ajst-30170	167	2	practical	practical	ADJ
ajst-30170	167	3	applications	application	NOUN
ajst-30170	167	4	,	,	PUNCT
ajst-30170	167	5	the	the	DET
ajst-30170	167	6	feature	feature	NOUN
ajst-30170	167	7	importance	importance	NOUN
ajst-30170	167	8	assessment	assessment	NOUN
ajst-30170	167	9	of	of	ADP
ajst-30170	167	10	ensemble	ensemble	ADJ
ajst-30170	167	11	models	model	NOUN
ajst-30170	167	12	(	(	PUNCT
ajst-30170	167	13	such	such	ADJ
ajst-30170	167	14	as	as	ADP
ajst-30170	167	15	based	base	VERB
ajst-30170	167	16	on	on	ADP
ajst-30170	167	17	the	the	DET
ajst-30170	167	18	gini	gini	PROPN
ajst-30170	167	19	index	index	NOUN
ajst-30170	167	20	or	or	CCONJ
ajst-30170	167	21	the	the	DET
ajst-30170	167	22	number	number	NOUN
ajst-30170	167	23	of	of	ADP
ajst-30170	167	24	splits	split	NOUN
ajst-30170	167	25	)	)	PUNCT
ajst-30170	167	26	can	can	AUX
ajst-30170	167	27	quantify	quantify	VERB
ajst-30170	167	28	the	the	DET
ajst-30170	167	29	influence	influence	NOUN
ajst-30170	167	30	weights	weight	NOUN
ajst-30170	167	31	of	of	ADP
ajst-30170	167	32	various	various	ADJ
ajst-30170	167	33	parameters	parameter	NOUN
ajst-30170	167	34	(	(	PUNCT
ajst-30170	167	35	such	such	ADJ
ajst-30170	167	36	as	as	ADP
ajst-30170	167	37	grouting	grout	VERB
ajst-30170	167	38	material	material	NOUN
ajst-30170	167	39	strength	strength	NOUN
ajst-30170	167	40	,	,	PUNCT
ajst-30170	167	41	sleeve	sleeve	NOUN
ajst-30170	167	42	wall	wall	NOUN
ajst-30170	167	43	thickness	thickness	NOUN
ajst-30170	167	44	)	)	PUNCT
ajst-30170	167	45	on	on	ADP
ajst-30170	167	46	the	the	DET
ajst-30170	167	47	connection	connection	NOUN
ajst-30170	167	48	performance	performance	NOUN
ajst-30170	167	49	and	and	CCONJ
ajst-30170	167	50	guide	guide	VERB
ajst-30170	167	51	construction	construction	NOUN
ajst-30170	167	52	quality	quality	NOUN
ajst-30170	167	53	control	control	NOUN
ajst-30170	167	54	.	.	PUNCT
ajst-30170	168	1	their	their	PRON
ajst-30170	168	2	high	high	ADJ
ajst-30170	168	3	precision	precision	NOUN
ajst-30170	168	4	prediction	prediction	NOUN
ajst-30170	168	5	ability	ability	NOUN
ajst-30170	168	6	can	can	AUX
ajst-30170	168	7	reduce	reduce	VERB
ajst-30170	168	8	the	the	DET
ajst-30170	168	9	dependence	dependence	NOUN
ajst-30170	168	10	on	on	ADP
ajst-30170	168	11	traditional	traditional	ADJ
ajst-30170	168	12	destructive	destructive	ADJ
ajst-30170	168	13	testing	testing	NOUN
ajst-30170	168	14	and	and	CCONJ
ajst-30170	168	15	achieve	achieve	VERB
ajst-30170	168	16	low	low	ADJ
ajst-30170	168	17	cost	cost	NOUN
ajst-30170	168	18	and	and	CCONJ
ajst-30170	168	19	rapid	rapid	ADJ
ajst-30170	168	20	screening	screening	NOUN
ajst-30170	168	21	of	of	ADP
ajst-30170	168	22	high	high	ADJ
ajst-30170	168	23	risk	risk	NOUN
ajst-30170	168	24	samples	sample	NOUN
ajst-30170	168	25	.	.	PUNCT
ajst-30170	169	1	however	however	ADV
ajst-30170	169	2	,	,	PUNCT
ajst-30170	169	3	the	the	DET
ajst-30170	169	4	"	"	PUNCT
ajst-30170	169	5	black	black	ADJ
ajst-30170	169	6	box	box	NOUN
ajst-30170	169	7	"	"	PUNCT
ajst-30170	169	8	characteristic	characteristic	NOUN
ajst-30170	169	9	of	of	ADP
ajst-30170	169	10	ensemble	ensemble	ADJ
ajst-30170	169	11	models	model	NOUN
ajst-30170	169	12	may	may	AUX
ajst-30170	169	13	weaken	weaken	VERB
ajst-30170	169	14	their	their	PRON
ajst-30170	169	15	interpretability	interpretability	NOUN
ajst-30170	169	16	,	,	PUNCT
ajst-30170	169	17	and	and	CCONJ
ajst-30170	169	18	it	it	PRON
ajst-30170	169	19	is	be	AUX
ajst-30170	169	20	necessary	necessary	ADJ
ajst-30170	169	21	to	to	PART
ajst-30170	169	22	combine	combine	VERB
ajst-30170	169	23	interpretability	interpretability	NOUN
ajst-30170	169	24	tools	tool	NOUN
ajst-30170	169	25	such	such	ADJ
ajst-30170	169	26	as	as	ADP
ajst-30170	169	27	shap	shap	NOUN
ajst-30170	169	28	(	(	PUNCT
ajst-30170	169	29	shapley	shapley	ADJ
ajst-30170	169	30	additive	additive	ADJ
ajst-30170	169	31	explanations	explanation	NOUN
ajst-30170	169	32	)	)	PUNCT
ajst-30170	169	33	to	to	PART
ajst-30170	169	34	assist	assist	VERB
ajst-30170	169	35	in	in	ADP
ajst-30170	169	36	decision	decision	NOUN
ajst-30170	169	37	making	making	NOUN
ajst-30170	169	38	.	.	PUNCT
ajst-30170	170	1	in	in	ADP
ajst-30170	170	2	addition	addition	NOUN
ajst-30170	170	3	,	,	PUNCT
ajst-30170	170	4	their	their	PRON
ajst-30170	170	5	high	high	ADJ
ajst-30170	170	6	computational	computational	ADJ
ajst-30170	170	7	complexity	complexity	NOUN
ajst-30170	170	8	requires	require	VERB
ajst-30170	170	9	a	a	DET
ajst-30170	170	10	trade	trade	NOUN
ajst-30170	170	11	off	off	ADP
ajst-30170	170	12	between	between	ADP
ajst-30170	170	13	hardware	hardware	NOUN
ajst-30170	170	14	resources	resource	NOUN
ajst-30170	170	15	and	and	CCONJ
ajst-30170	170	16	engineering	engineering	NOUN
ajst-30170	170	17	timeliness	timeliness	NOUN
ajst-30170	170	18	requirements	requirement	NOUN
ajst-30170	170	19	.	.	PUNCT
ajst-30170	171	1	nevertheless	nevertheless	ADV
ajst-30170	171	2	,	,	PUNCT
ajst-30170	171	3	the	the	DET
ajst-30170	171	4	robust	robust	ADJ
ajst-30170	171	5	performance	performance	NOUN
ajst-30170	171	6	of	of	ADP
ajst-30170	171	7	ensemble	ensemble	ADJ
ajst-30170	171	8	learning	learning	NOUN
ajst-30170	171	9	in	in	ADP
ajst-30170	171	10	complex	complex	ADJ
ajst-30170	171	11	engineering	engineering	NOUN
ajst-30170	171	12	scenarios	scenario	NOUN
ajst-30170	171	13	makes	make	VERB
ajst-30170	171	14	it	it	PRON
ajst-30170	171	15	a	a	DET
ajst-30170	171	16	key	key	ADJ
ajst-30170	171	17	technical	technical	ADJ
ajst-30170	171	18	path	path	NOUN
ajst-30170	171	19	to	to	PART
ajst-30170	171	20	improve	improve	VERB
ajst-30170	171	21	the	the	DET
ajst-30170	171	22	reliability	reliability	NOUN
ajst-30170	171	23	of	of	ADP
ajst-30170	171	24	predictions	prediction	NOUN
ajst-30170	171	25	.	.	PUNCT
ajst-30170	172	1	5	5	X
ajst-30170	172	2	.	.	X
ajst-30170	172	3	conclusions	conclusion	NOUN
ajst-30170	172	4	and	and	CCONJ
ajst-30170	172	5	prospects	prospect	NOUN
ajst-30170	172	6	in	in	ADP
ajst-30170	172	7	conclusion	conclusion	NOUN
ajst-30170	172	8	,	,	PUNCT
ajst-30170	172	9	machine	machine	NOUN
ajst-30170	172	10	learning	learning	NOUN
ajst-30170	172	11	technology	technology	NOUN
ajst-30170	172	12	provides	provide	VERB
ajst-30170	172	13	an	an	DET
ajst-30170	172	14	innovative	innovative	ADJ
ajst-30170	172	15	and	and	CCONJ
ajst-30170	172	16	effective	effective	ADJ
ajst-30170	172	17	solution	solution	NOUN
ajst-30170	172	18	for	for	ADP
ajst-30170	172	19	predicting	predict	VERB
ajst-30170	172	20	the	the	DET
ajst-30170	172	21	performance	performance	NOUN
ajst-30170	172	22	of	of	ADP
ajst-30170	172	23	grouted	grouted	ADJ
ajst-30170	172	24	sleeve	sleeve	NOUN
ajst-30170	172	25	connections	connection	NOUN
ajst-30170	172	26	.	.	PUNCT
ajst-30170	173	1	single	single	ADJ
ajst-30170	173	2	machine	machine	NOUN
ajst-30170	173	3	learning	learn	VERB
ajst-30170	173	4	algorithms	algorithm	NOUN
ajst-30170	173	5	,	,	PUNCT
ajst-30170	173	6	such	such	ADJ
ajst-30170	173	7	as	as	ADP
ajst-30170	173	8	logistic	logistic	ADJ
ajst-30170	173	9	regression	regression	NOUN
ajst-30170	173	10	,	,	PUNCT
ajst-30170	173	11	support	support	VERB
ajst-30170	173	12	vector	vector	NOUN
ajst-30170	173	13	machines	machine	NOUN
ajst-30170	173	14	,	,	PUNCT
ajst-30170	173	15	and	and	CCONJ
ajst-30170	173	16	decision	decision	NOUN
ajst-30170	173	17	trees	tree	NOUN
ajst-30170	173	18	,	,	PUNCT
ajst-30170	173	19	each	each	PRON
ajst-30170	173	20	based	base	VERB
ajst-30170	173	21	on	on	ADP
ajst-30170	173	22	unique	unique	ADJ
ajst-30170	173	23	principles	principle	NOUN
ajst-30170	173	24	,	,	PUNCT
ajst-30170	173	25	play	play	VERB
ajst-30170	173	26	important	important	ADJ
ajst-30170	173	27	roles	role	NOUN
ajst-30170	173	28	in	in	ADP
ajst-30170	173	29	predicting	predict	VERB
ajst-30170	173	30	the	the	DET
ajst-30170	173	31	performance	performance	NOUN
ajst-30170	173	32	of	of	ADP
ajst-30170	173	33	grouted	grouted	ADJ
ajst-30170	173	34	sleeve	sleeve	NOUN
ajst-30170	173	35	connections	connection	NOUN
ajst-30170	173	36	through	through	ADP
ajst-30170	173	37	steps	step	NOUN
ajst-30170	173	38	like	like	ADP
ajst-30170	173	39	data	data	NOUN
ajst-30170	173	40	collection	collection	NOUN
ajst-30170	173	41	,	,	PUNCT
ajst-30170	173	42	preprocessing	preprocessing	NOUN
ajst-30170	173	43	,	,	PUNCT
ajst-30170	173	44	model	model	NOUN
ajst-30170	173	45	training	training	NOUN
ajst-30170	173	46	,	,	PUNCT
ajst-30170	173	47	and	and	CCONJ
ajst-30170	173	48	evaluation	evaluation	NOUN
ajst-30170	173	49	.	.	PUNCT
ajst-30170	174	1	however	however	ADV
ajst-30170	174	2	,	,	PUNCT
ajst-30170	174	3	due	due	ADP
ajst-30170	174	4	to	to	ADP
ajst-30170	174	5	the	the	DET
ajst-30170	174	6	diversity	diversity	NOUN
ajst-30170	174	7	and	and	CCONJ
ajst-30170	174	8	complexity	complexity	NOUN
ajst-30170	174	9	of	of	ADP
ajst-30170	174	10	the	the	DET
ajst-30170	174	11	factors	factor	NOUN
ajst-30170	174	12	affecting	affect	VERB
ajst-30170	174	13	the	the	DET
ajst-30170	174	14	performance	performance	NOUN
ajst-30170	174	15	of	of	ADP
ajst-30170	174	16	grouted	grouted	ADJ
ajst-30170	174	17	sleeve	sleeve	NOUN
ajst-30170	174	18	connections	connection	NOUN
ajst-30170	174	19	,	,	PUNCT
ajst-30170	174	20	single	single	ADJ
ajst-30170	174	21	algorithms	algorithm	NOUN
ajst-30170	174	22	have	have	VERB
ajst-30170	174	23	certain	certain	ADJ
ajst-30170	174	24	limitations	limitation	NOUN
ajst-30170	174	25	.	.	PUNCT
ajst-30170	175	1	ensemble	ensemble	ADJ
ajst-30170	175	2	learning	learning	NOUN
ajst-30170	175	3	models	model	NOUN
ajst-30170	175	4	significantly	significantly	ADV
ajst-30170	175	5	improve	improve	VERB
ajst-30170	175	6	the	the	DET
ajst-30170	175	7	accuracy	accuracy	NOUN
ajst-30170	175	8	and	and	CCONJ
ajst-30170	175	9	stability	stability	NOUN
ajst-30170	175	10	of	of	ADP
ajst-30170	175	11	predictions	prediction	NOUN
ajst-30170	175	12	by	by	ADP
ajst-30170	175	13	combining	combine	VERB
ajst-30170	175	14	the	the	DET
ajst-30170	175	15	advantages	advantage	NOUN
ajst-30170	175	16	of	of	ADP
ajst-30170	175	17	multiple	multiple	ADJ
ajst-30170	175	18	single	single	ADJ
ajst-30170	175	19	models	model	NOUN
ajst-30170	175	20	,	,	PUNCT
ajst-30170	175	21	showing	show	VERB
ajst-30170	175	22	greater	great	ADJ
ajst-30170	175	23	potential	potential	NOUN
ajst-30170	175	24	in	in	ADP
ajst-30170	175	25	practical	practical	ADJ
ajst-30170	175	26	engineering	engineering	NOUN
ajst-30170	175	27	applications	application	NOUN
ajst-30170	175	28	.	.	PUNCT
ajst-30170	176	1	currently	currently	ADV
ajst-30170	176	2	,	,	PUNCT
ajst-30170	176	3	though	though	ADV
ajst-30170	176	4	,	,	PUNCT
ajst-30170	176	5	the	the	DET
ajst-30170	176	6	prediction	prediction	NOUN
ajst-30170	176	7	of	of	ADP
ajst-30170	176	8	grouted	grouted	ADJ
ajst-30170	176	9	sleeve	sleeve	NOUN
ajst-30170	176	10	connection	connection	NOUN
ajst-30170	176	11	performance	performance	NOUN
ajst-30170	176	12	based	base	VERB
ajst-30170	176	13	on	on	ADP
ajst-30170	176	14	machine	machine	NOUN
ajst-30170	176	15	learning	learning	NOUN
ajst-30170	176	16	still	still	ADV
ajst-30170	176	17	faces	face	VERB
ajst-30170	176	18	some	some	DET
ajst-30170	176	19	challenges	challenge	NOUN
ajst-30170	176	20	,	,	PUNCT
ajst-30170	176	21	such	such	ADJ
ajst-30170	176	22	as	as	ADP
ajst-30170	176	23	limitations	limitation	NOUN
ajst-30170	176	24	in	in	ADP
ajst-30170	176	25	data	datum	NOUN
ajst-30170	176	26	quality	quality	NOUN
ajst-30170	176	27	and	and	CCONJ
ajst-30170	176	28	quantity	quantity	NOUN
ajst-30170	176	29	,	,	PUNCT
ajst-30170	176	30	difficulties	difficulty	NOUN
ajst-30170	176	31	in	in	ADP
ajst-30170	176	32	optimizing	optimize	VERB
ajst-30170	176	33	model	model	NOUN
ajst-30170	176	34	parameters	parameter	NOUN
ajst-30170	176	35	,	,	PUNCT
ajst-30170	176	36	and	and	CCONJ
ajst-30170	176	37	insufficient	insufficient	ADJ
ajst-30170	176	38	adaptability	adaptability	NOUN
ajst-30170	176	39	to	to	ADP
ajst-30170	176	40	complex	complex	ADJ
ajst-30170	176	41	working	working	NOUN
ajst-30170	176	42	conditions	condition	NOUN
ajst-30170	176	43	.	.	PUNCT
ajst-30170	177	1	in	in	ADP
ajst-30170	177	2	the	the	DET
ajst-30170	177	3	future	future	NOUN
ajst-30170	177	4	,	,	PUNCT
ajst-30170	177	5	with	with	ADP
ajst-30170	177	6	the	the	DET
ajst-30170	177	7	continuous	continuous	ADJ
ajst-30170	177	8	development	development	NOUN
ajst-30170	177	9	of	of	ADP
ajst-30170	177	10	sensor	sensor	NOUN
ajst-30170	177	11	technology	technology	NOUN
ajst-30170	177	12	and	and	CCONJ
ajst-30170	177	13	the	the	DET
ajst-30170	177	14	internet	internet	NOUN
ajst-30170	177	15	of	of	ADP
ajst-30170	177	16	things	thing	NOUN
ajst-30170	177	17	technology	technology	NOUN
ajst-30170	177	18	,	,	PUNCT
ajst-30170	177	19	it	it	PRON
ajst-30170	177	20	is	be	AUX
ajst-30170	177	21	expected	expect	VERB
ajst-30170	177	22	to	to	PART
ajst-30170	177	23	obtain	obtain	VERB
ajst-30170	177	24	more	more	ADV
ajst-30170	177	25	high	high	ADJ
ajst-30170	177	26	quality	quality	NOUN
ajst-30170	177	27	and	and	CCONJ
ajst-30170	177	28	multi	multi	ADJ
ajst-30170	177	29	dimensional	dimensional	ADJ
ajst-30170	177	30	data	datum	NOUN
ajst-30170	177	31	related	relate	VERB
ajst-30170	177	32	to	to	ADP
ajst-30170	177	33	the	the	DET
ajst-30170	177	34	performance	performance	NOUN
ajst-30170	177	35	of	of	ADP
ajst-30170	177	36	grouted	grouted	ADJ
ajst-30170	177	37	sleeve	sleeve	NOUN
ajst-30170	177	38	connections	connection	NOUN
ajst-30170	177	39	,	,	PUNCT
ajst-30170	177	40	providing	provide	VERB
ajst-30170	177	41	richer	rich	ADJ
ajst-30170	177	42	training	training	NOUN
ajst-30170	177	43	materials	material	NOUN
ajst-30170	177	44	for	for	ADP
ajst-30170	177	45	machine	machine	NOUN
ajst-30170	177	46	learning	learning	NOUN
ajst-30170	177	47	models	model	NOUN
ajst-30170	177	48	.	.	PUNCT
ajst-30170	178	1	at	at	ADP
ajst-30170	178	2	the	the	DET
ajst-30170	178	3	same	same	ADJ
ajst-30170	178	4	time	time	NOUN
ajst-30170	178	5	,	,	PUNCT
ajst-30170	178	6	the	the	DET
ajst-30170	178	7	further	further	ADJ
ajst-30170	178	8	development	development	NOUN
ajst-30170	178	9	and	and	CCONJ
ajst-30170	178	10	application	application	NOUN
ajst-30170	178	11	of	of	ADP
ajst-30170	178	12	emerging	emerge	VERB
ajst-30170	178	13	machine	machine	NOUN
ajst-30170	178	14	learning	learning	NOUN
ajst-30170	178	15	technologies	technology	NOUN
ajst-30170	178	16	such	such	ADJ
ajst-30170	178	17	as	as	ADP
ajst-30170	178	18	deep	deep	ADJ
ajst-30170	178	19	learning	learning	NOUN
ajst-30170	178	20	,	,	PUNCT
ajst-30170	178	21	as	as	ADV
ajst-30170	178	22	well	well	ADV
ajst-30170	178	23	as	as	ADP
ajst-30170	178	24	the	the	DET
ajst-30170	178	25	continuous	continuous	ADJ
ajst-30170	178	26	optimization	optimization	NOUN
ajst-30170	178	27	of	of	ADP
ajst-30170	178	28	ensemble	ensemble	ADJ
ajst-30170	178	29	learning	learning	NOUN
ajst-30170	178	30	models	model	NOUN
ajst-30170	178	31	,	,	PUNCT
ajst-30170	178	32	will	will	AUX
ajst-30170	178	33	help	help	VERB
ajst-30170	178	34	improve	improve	VERB
ajst-30170	178	35	the	the	DET
ajst-30170	178	36	accuracy	accuracy	NOUN
ajst-30170	178	37	and	and	CCONJ
ajst-30170	178	38	generalization	generalization	NOUN
ajst-30170	178	39	ability	ability	NOUN
ajst-30170	178	40	of	of	ADP
ajst-30170	178	41	prediction	prediction	NOUN
ajst-30170	178	42	models	model	NOUN
ajst-30170	178	43	.	.	PUNCT
ajst-30170	179	1	in	in	ADP
ajst-30170	179	2	addition	addition	NOUN
ajst-30170	179	3	,	,	PUNCT
ajst-30170	179	4	interdisciplinary	interdisciplinary	ADJ
ajst-30170	179	5	research	research	NOUN
ajst-30170	179	6	cooperation	cooperation	NOUN
ajst-30170	179	7	,	,	PUNCT
ajst-30170	179	8	which	which	PRON
ajst-30170	179	9	deeply	deeply	ADV
ajst-30170	179	10	integrates	integrate	VERB
ajst-30170	179	11	machine	machine	NOUN
ajst-30170	179	12	learning	learn	VERB
ajst-30170	179	13	with	with	ADP
ajst-30170	179	14	disciplines	discipline	NOUN
ajst-30170	179	15	like	like	ADP
ajst-30170	179	16	materials	material	NOUN
ajst-30170	179	17	science	science	NOUN
ajst-30170	179	18	and	and	CCONJ
ajst-30170	179	19	structural	structural	ADJ
ajst-30170	179	20	mechanics	mechanic	NOUN
ajst-30170	179	21	,	,	PUNCT
ajst-30170	179	22	is	be	AUX
ajst-30170	179	23	expected	expect	VERB
ajst-30170	179	24	to	to	PART
ajst-30170	179	25	deeply	deeply	ADV
ajst-30170	179	26	reveal	reveal	VERB
ajst-30170	179	27	the	the	DET
ajst-30170	179	28	internal	internal	ADJ
ajst-30170	179	29	mechanism	mechanism	NOUN
ajst-30170	179	30	of	of	ADP
ajst-30170	179	31	the	the	DET
ajst-30170	179	32	performance	performance	NOUN
ajst-30170	179	33	of	of	ADP
ajst-30170	179	34	grouted	grouted	ADJ
ajst-30170	179	35	sleeve	sleeve	NOUN
ajst-30170	179	36	connections	connection	NOUN
ajst-30170	179	37	,	,	PUNCT
ajst-30170	179	38	providing	provide	VERB
ajst-30170	179	39	a	a	DET
ajst-30170	179	40	more	more	ADV
ajst-30170	179	41	solid	solid	ADJ
ajst-30170	179	42	theoretical	theoretical	ADJ
ajst-30170	179	43	foundation	foundation	NOUN
ajst-30170	179	44	for	for	ADP
ajst-30170	179	45	model	model	NOUN
ajst-30170	179	46	construction	construction	NOUN
ajst-30170	179	47	and	and	CCONJ
ajst-30170	179	48	promoting	promote	VERB
ajst-30170	179	49	the	the	DET
ajst-30170	179	50	wide	wide	ADJ
ajst-30170	179	51	application	application	NOUN
ajst-30170	179	52	and	and	CCONJ
ajst-30170	179	53	continuous	continuous	ADJ
ajst-30170	179	54	development	development	NOUN
ajst-30170	179	55	of	of	ADP
ajst-30170	179	56	machine	machine	NOUN
ajst-30170	179	57	learning	learning	NOUN
ajst-30170	179	58	based	base	VERB
ajst-30170	179	59	prediction	prediction	NOUN
ajst-30170	179	60	technology	technology	NOUN
ajst-30170	179	61	for	for	ADP
ajst-30170	179	62	grouted	grouted	ADJ
ajst-30170	179	63	sleeve	sleeve	NOUN
ajst-30170	179	64	connection	connection	NOUN
ajst-30170	179	65	performance	performance	NOUN
ajst-30170	179	66	in	in	ADP
ajst-30170	179	67	the	the	DET
ajst-30170	179	68	field	field	NOUN
ajst-30170	179	69	of	of	ADP
ajst-30170	179	70	construction	construction	NOUN
ajst-30170	179	71	engineering	engineering	NOUN
ajst-30170	179	72	.	.	PUNCT
ajst-30170	180	1	references	reference	NOUN
ajst-30170	180	2	[	[	X
ajst-30170	180	3	1	1	NUM
ajst-30170	180	4	]	]	X
ajst-30170	180	5	zhang	zhang	PROPN
ajst-30170	180	6	,	,	PUNCT
ajst-30170	180	7	y.x	y.x	PROPN
ajst-30170	180	8	.	.	PROPN
ajst-30170	180	9	,	,	PUNCT
ajst-30170	180	10	lin	lin	PROPN
ajst-30170	180	11	,	,	PUNCT
ajst-30170	180	12	f.	f.	PROPN
ajst-30170	180	13	,	,	PUNCT
ajst-30170	180	14	ma	ma	PROPN
ajst-30170	180	15	,	,	PUNCT
ajst-30170	180	16	g.y	g.y	PROPN
ajst-30170	180	17	.	.	PROPN
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ajst-30170	184	25	)	)	PUNCT
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ajst-30170	185	45	)	)	PUNCT
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ajst-30170	193	5	y	y	PROPN
ajst-30170	193	6	,	,	PUNCT
ajst-30170	193	7	liu	liu	PROPN
ajst-30170	193	8	b	b	PROPN
ajst-30170	193	9	,	,	PUNCT
ajst-30170	193	10	yu	yu	PROPN
ajst-30170	193	11	j	j	PROPN
ajst-30170	193	12	.a	.a	PROPN
ajst-30170	193	13	selective	selective	ADJ
ajst-30170	193	14	ensemble	ensemble	ADJ
ajst-30170	193	15	learning	learning	NOUN
ajst-30170	193	16	approach	approach	NOUN
ajst-30170	193	17	based	base	VERB
ajst-30170	193	18	on	on	ADP
ajst-30170	193	19	evolutionary	evolutionary	ADJ
ajst-30170	193	20	algorithm[j].journal	algorithm[j].journal	ADJ
ajst-30170	193	21	-	-	PUNCT
ajst-30170	193	22	titlejournal	titlejournal	NOUN
ajst-30170	193	23	of	of	ADP
ajst-30170	193	24	intelligent	intelligent	ADJ
ajst-30170	193	25	&	&	CCONJ
ajst-30170	193	26	fuzzy	fuzzy	ADJ
ajst-30170	193	27	systems,2017,32(3):2365	systems,2017,32(3):2365	NOUN
ajst-30170	193	28	-	-	PUNCT
ajst-30170	193	29	2373	2373	NUM
ajst-30170	193	30	.	.	PUNCT
ajst-30170	194	1	[	[	X
ajst-30170	194	2	12	12	NUM
ajst-30170	194	3	]	]	X
ajst-30170	194	4	webb	webb	NOUN
ajst-30170	195	1	i	i	X
ajst-30170	195	2	g	g	PROPN
ajst-30170	195	3	,	,	PUNCT
ajst-30170	195	4	zheng	zheng	PROPN
ajst-30170	195	5	z	z	PROPN
ajst-30170	195	6	.multistrategy	.multistrategy	PROPN
ajst-30170	195	7	ensemble	ensemble	ADJ
ajst-30170	195	8	learning	learning	NOUN
ajst-30170	195	9	:	:	PUNCT
ajst-30170	195	10	reducing	reduce	VERB
ajst-30170	195	11	error	error	NOUN
ajst-30170	195	12	by	by	ADP
ajst-30170	195	13	combining	combine	VERB
ajst-30170	195	14	ensemble	ensemble	ADJ
ajst-30170	195	15	learning	learn	VERB
ajst-30170	195	16	techniques[j].ieee	techniques[j].ieee	PROPN
ajst-30170	195	17	trans	trans	PROPN
ajst-30170	195	18	.	.	PROPN
ajst-30170	195	19	knowl	knowl	PROPN
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ajst-30170	196	1	data	data	PROPN
ajst-30170	196	2	eng	eng	PROPN
ajst-30170	196	3	.	.	PROPN
ajst-30170	196	4	,2004,16(8):980991	,2004,16(8):980991	PROPN
ajst-30170	196	5	.	.	PUNCT