id	sid	tid	token	lemma	pos
ajst-30192	1	1	academic	academic	ADJ
ajst-30192	1	2	journal	journal	NOUN
ajst-30192	1	3	of	of	ADP
ajst-30192	1	4	science	science	NOUN
ajst-30192	1	5	and	and	CCONJ
ajst-30192	1	6	technology	technology	NOUN
ajst-30192	1	7	issn	issn	NOUN
ajst-30192	1	8	:	:	PUNCT
ajst-30192	1	9	2771	2771	NUM
ajst-30192	1	10	-	-	SYM
ajst-30192	1	11	3032	3032	NUM
ajst-30192	1	12	|	|	NOUN
ajst-30192	1	13	vol	vol	NOUN
ajst-30192	1	14	.	.	PUNCT
ajst-30192	2	1	14	14	NUM
ajst-30192	2	2	,	,	PUNCT
ajst-30192	2	3	no	no	INTJ
ajst-30192	2	4	.	.	NOUN
ajst-30192	2	5	3	3	NUM
ajst-30192	2	6	,	,	PUNCT
ajst-30192	2	7	2025	2025	NUM
ajst-30192	2	8	155	155	NUM
ajst-30192	2	9	prediction	prediction	NOUN
ajst-30192	2	10	of	of	ADP
ajst-30192	2	11	tbm	tbm	NOUN
ajst-30192	2	12	roadway	roadway	NOUN
ajst-30192	2	13	surrounding	surround	VERB
ajst-30192	2	14	rock	rock	NOUN
ajst-30192	2	15	grade	grade	NOUN
ajst-30192	2	16	based	base	VERB
ajst-30192	2	17	on	on	ADP
ajst-30192	2	18	xgboost	xgboost	PROPN
ajst-30192	2	19	model	model	PROPN
ajst-30192	2	20	zhang	zhang	PROPN
ajst-30192	2	21	hu1	hu1	PROPN
ajst-30192	2	22	,	,	PUNCT
ajst-30192	2	23	*	*	PUNCT
ajst-30192	2	24	,	,	PUNCT
ajst-30192	2	25	zhanbiao	zhanbiao	PROPN
ajst-30192	2	26	yang2	yang2	PROPN
ajst-30192	2	27	1henan	1henan	NUM
ajst-30192	2	28	polytechnic	polytechnic	ADJ
ajst-30192	2	29	university	university	NOUN
ajst-30192	2	30	,	,	PUNCT
ajst-30192	2	31	jiaozuo	jiaozuo	PROPN
ajst-30192	2	32	454000	454000	NUM
ajst-30192	2	33	,	,	PUNCT
ajst-30192	2	34	china	china	PROPN
ajst-30192	2	35	2pingdingshan	2pingdingshan	NUM
ajst-30192	2	36	tianan	tianan	NOUN
ajst-30192	2	37	coal	coal	NOUN
ajst-30192	2	38	co.ltd	co.ltd	PROPN
ajst-30192	2	39	,	,	PUNCT
ajst-30192	2	40	pingdingshan	pingdingshan	PROPN
ajst-30192	2	41	467000	467000	NUM
ajst-30192	2	42	,	,	PUNCT
ajst-30192	2	43	china	china	PROPN
ajst-30192	2	44	*	*	PUNCT
ajst-30192	2	45	corresponding	correspond	VERB
ajst-30192	2	46	author	author	NOUN
ajst-30192	2	47	abstract	abstract	NOUN
ajst-30192	2	48	:	:	PUNCT
ajst-30192	2	49	the	the	DET
ajst-30192	2	50	classification	classification	NOUN
ajst-30192	2	51	of	of	ADP
ajst-30192	2	52	roadway	roadway	NOUN
ajst-30192	2	53	surrounding	surround	VERB
ajst-30192	2	54	rock	rock	NOUN
ajst-30192	2	55	is	be	AUX
ajst-30192	2	56	a	a	DET
ajst-30192	2	57	very	very	ADV
ajst-30192	2	58	important	important	ADJ
ajst-30192	2	59	link	link	NOUN
ajst-30192	2	60	in	in	ADP
ajst-30192	2	61	the	the	DET
ajst-30192	2	62	process	process	NOUN
ajst-30192	2	63	of	of	ADP
ajst-30192	2	64	tbm	tbm	ADJ
ajst-30192	2	65	construction	construction	NOUN
ajst-30192	2	66	.	.	PUNCT
ajst-30192	3	1	its	its	PRON
ajst-30192	3	2	main	main	ADJ
ajst-30192	3	3	purpose	purpose	NOUN
ajst-30192	3	4	is	be	AUX
ajst-30192	3	5	to	to	PART
ajst-30192	3	6	determine	determine	VERB
ajst-30192	3	7	the	the	DET
ajst-30192	3	8	drilling	drilling	NOUN
ajst-30192	3	9	parameters	parameter	NOUN
ajst-30192	3	10	such	such	ADJ
ajst-30192	3	11	as	as	ADP
ajst-30192	3	12	bit	bit	NOUN
ajst-30192	3	13	type	type	NOUN
ajst-30192	3	14	and	and	CCONJ
ajst-30192	3	15	cutterhead	cutterhead	ADJ
ajst-30192	3	16	speed	speed	NOUN
ajst-30192	3	17	used	use	VERB
ajst-30192	3	18	in	in	ADP
ajst-30192	3	19	the	the	DET
ajst-30192	3	20	process	process	NOUN
ajst-30192	3	21	of	of	ADP
ajst-30192	3	22	shield	shield	NOUN
ajst-30192	3	23	tunneling	tunneling	NOUN
ajst-30192	3	24	according	accord	VERB
ajst-30192	3	25	to	to	ADP
ajst-30192	3	26	different	different	ADJ
ajst-30192	3	27	surrounding	surround	VERB
ajst-30192	3	28	rock	rock	NOUN
ajst-30192	3	29	characteristics	characteristic	NOUN
ajst-30192	3	30	,	,	PUNCT
ajst-30192	3	31	so	so	SCONJ
ajst-30192	3	32	as	as	SCONJ
ajst-30192	3	33	to	to	PART
ajst-30192	3	34	ensure	ensure	VERB
ajst-30192	3	35	the	the	DET
ajst-30192	3	36	safety	safety	NOUN
ajst-30192	3	37	and	and	CCONJ
ajst-30192	3	38	efficiency	efficiency	NOUN
ajst-30192	3	39	of	of	ADP
ajst-30192	3	40	construction	construction	NOUN
ajst-30192	3	41	.	.	PUNCT
ajst-30192	4	1	with	with	ADP
ajst-30192	4	2	the	the	DET
ajst-30192	4	3	development	development	NOUN
ajst-30192	4	4	of	of	ADP
ajst-30192	4	5	machine	machine	NOUN
ajst-30192	4	6	learning	learning	NOUN
ajst-30192	4	7	and	and	CCONJ
ajst-30192	4	8	artificial	artificial	ADJ
ajst-30192	4	9	intelligence	intelligence	NOUN
ajst-30192	4	10	technology	technology	NOUN
ajst-30192	4	11	,	,	PUNCT
ajst-30192	4	12	these	these	DET
ajst-30192	4	13	technologies	technology	NOUN
ajst-30192	4	14	are	be	AUX
ajst-30192	4	15	gradually	gradually	ADV
ajst-30192	4	16	applied	apply	VERB
ajst-30192	4	17	to	to	ADP
ajst-30192	4	18	the	the	DET
ajst-30192	4	19	classification	classification	NOUN
ajst-30192	4	20	of	of	ADP
ajst-30192	4	21	tunnel	tunnel	NOUN
ajst-30192	4	22	surrounding	surround	VERB
ajst-30192	4	23	rock	rock	NOUN
ajst-30192	4	24	.	.	PUNCT
ajst-30192	5	1	this	this	DET
ajst-30192	5	2	method	method	NOUN
ajst-30192	5	3	can	can	AUX
ajst-30192	5	4	establish	establish	VERB
ajst-30192	5	5	a	a	DET
ajst-30192	5	6	model	model	NOUN
ajst-30192	5	7	through	through	ADP
ajst-30192	5	8	a	a	DET
ajst-30192	5	9	large	large	ADJ
ajst-30192	5	10	number	number	NOUN
ajst-30192	5	11	of	of	ADP
ajst-30192	5	12	data	datum	NOUN
ajst-30192	5	13	analysis	analysis	NOUN
ajst-30192	5	14	,	,	PUNCT
ajst-30192	5	15	so	so	SCONJ
ajst-30192	5	16	as	as	SCONJ
ajst-30192	5	17	to	to	PART
ajst-30192	5	18	quickly	quickly	ADV
ajst-30192	5	19	and	and	CCONJ
ajst-30192	5	20	accurately	accurately	ADV
ajst-30192	5	21	classify	classify	VERB
ajst-30192	5	22	and	and	CCONJ
ajst-30192	5	23	predict	predict	VERB
ajst-30192	5	24	different	different	ADJ
ajst-30192	5	25	types	type	NOUN
ajst-30192	5	26	of	of	ADP
ajst-30192	5	27	surrounding	surround	VERB
ajst-30192	5	28	rock	rock	NOUN
ajst-30192	5	29	.	.	PUNCT
ajst-30192	6	1	based	base	VERB
ajst-30192	6	2	on	on	ADP
ajst-30192	6	3	shoushan	shoushan	NOUN
ajst-30192	6	4	no.1	no.1	VERB
ajst-30192	6	5	mine	mine	NOUN
ajst-30192	6	6	,	,	PUNCT
ajst-30192	6	7	the	the	DET
ajst-30192	6	8	xgboost	xgboost	PROPN
ajst-30192	6	9	model	model	NOUN
ajst-30192	6	10	was	be	AUX
ajst-30192	6	11	used	use	VERB
ajst-30192	6	12	to	to	PART
ajst-30192	6	13	classify	classify	VERB
ajst-30192	6	14	the	the	DET
ajst-30192	6	15	surrounding	surround	VERB
ajst-30192	6	16	rock	rock	NOUN
ajst-30192	6	17	types	type	NOUN
ajst-30192	6	18	of	of	ADP
ajst-30192	6	19	the	the	DET
ajst-30192	6	20	selected	select	VERB
ajst-30192	6	21	sample	sample	NOUN
ajst-30192	6	22	tunnel	tunnel	NOUN
ajst-30192	6	23	sections	section	NOUN
ajst-30192	6	24	,	,	PUNCT
ajst-30192	6	25	and	and	CCONJ
ajst-30192	6	26	the	the	DET
ajst-30192	6	27	tunneling	tunneling	NOUN
ajst-30192	6	28	parameters	parameter	NOUN
ajst-30192	6	29	affecting	affect	VERB
ajst-30192	6	30	the	the	DET
ajst-30192	6	31	classification	classification	NOUN
ajst-30192	6	32	of	of	ADP
ajst-30192	6	33	shield	shield	NOUN
ajst-30192	6	34	surrounding	surround	VERB
ajst-30192	6	35	rock	rock	NOUN
ajst-30192	6	36	were	be	AUX
ajst-30192	6	37	analyzed	analyze	VERB
ajst-30192	6	38	.	.	PUNCT
ajst-30192	7	1	the	the	DET
ajst-30192	7	2	classification	classification	NOUN
ajst-30192	7	3	model	model	NOUN
ajst-30192	7	4	of	of	ADP
ajst-30192	7	5	shield	shield	NOUN
ajst-30192	7	6	tunnel	tunnel	NOUN
ajst-30192	7	7	surrounding	surround	VERB
ajst-30192	7	8	rock	rock	NOUN
ajst-30192	7	9	was	be	AUX
ajst-30192	7	10	established	establish	VERB
ajst-30192	7	11	and	and	CCONJ
ajst-30192	7	12	the	the	DET
ajst-30192	7	13	model	model	NOUN
ajst-30192	7	14	was	be	AUX
ajst-30192	7	15	preliminarily	preliminarily	ADV
ajst-30192	7	16	tested	test	VERB
ajst-30192	7	17	.	.	PUNCT
ajst-30192	8	1	the	the	DET
ajst-30192	8	2	results	result	NOUN
ajst-30192	8	3	show	show	VERB
ajst-30192	8	4	that	that	SCONJ
ajst-30192	8	5	thrust	thrust	VERB
ajst-30192	8	6	,	,	PUNCT
ajst-30192	8	7	rotational	rotational	ADJ
ajst-30192	8	8	speed	speed	NOUN
ajst-30192	8	9	,	,	PUNCT
ajst-30192	8	10	torque	torque	NOUN
ajst-30192	8	11	and	and	CCONJ
ajst-30192	8	12	propulsion	propulsion	NOUN
ajst-30192	8	13	speed	speed	NOUN
ajst-30192	8	14	are	be	AUX
ajst-30192	8	15	the	the	DET
ajst-30192	8	16	main	main	ADJ
ajst-30192	8	17	factors	factor	NOUN
ajst-30192	8	18	affecting	affect	VERB
ajst-30192	8	19	the	the	DET
ajst-30192	8	20	grade	grade	NOUN
ajst-30192	8	21	of	of	ADP
ajst-30192	8	22	surrounding	surround	VERB
ajst-30192	8	23	rock	rock	NOUN
ajst-30192	8	24	.	.	PUNCT
ajst-30192	9	1	the	the	DET
ajst-30192	9	2	xgboost	xgboost	PROPN
ajst-30192	9	3	model	model	NOUN
ajst-30192	9	4	is	be	AUX
ajst-30192	9	5	used	use	VERB
ajst-30192	9	6	to	to	PART
ajst-30192	9	7	identify	identify	VERB
ajst-30192	9	8	the	the	DET
ajst-30192	9	9	surrounding	surround	VERB
ajst-30192	9	10	rock	rock	NOUN
ajst-30192	9	11	grade	grade	NOUN
ajst-30192	9	12	in	in	ADP
ajst-30192	9	13	real	real	ADJ
ajst-30192	9	14	time	time	NOUN
ajst-30192	9	15	.	.	PUNCT
ajst-30192	10	1	the	the	DET
ajst-30192	10	2	samples	sample	NOUN
ajst-30192	10	3	of	of	ADP
ajst-30192	10	4	grade	grade	NOUN
ajst-30192	10	5	iii	iii	NOUN
ajst-30192	10	6	and	and	CCONJ
ajst-30192	10	7	grade	grade	NOUN
ajst-30192	10	8	v	v	NOUN
ajst-30192	10	9	surrounding	surround	VERB
ajst-30192	10	10	rock	rock	NOUN
ajst-30192	10	11	are	be	AUX
ajst-30192	10	12	all	all	PRON
ajst-30192	10	13	predicted	predict	VERB
ajst-30192	10	14	,	,	PUNCT
ajst-30192	10	15	with	with	ADP
ajst-30192	10	16	an	an	DET
ajst-30192	10	17	accuracy	accuracy	NOUN
ajst-30192	10	18	rate	rate	NOUN
ajst-30192	10	19	of	of	ADP
ajst-30192	10	20	100	100	NUM
ajst-30192	10	21	%	%	NOUN
ajst-30192	10	22	.	.	PUNCT
ajst-30192	11	1	the	the	DET
ajst-30192	11	2	accuracy	accuracy	NOUN
ajst-30192	11	3	rate	rate	NOUN
ajst-30192	11	4	of	of	ADP
ajst-30192	11	5	grade	grade	PROPN
ajst-30192	11	6	ii	ii	PROPN
ajst-30192	11	7	and	and	CCONJ
ajst-30192	11	8	grade	grade	NOUN
ajst-30192	11	9	iv	iv	NOUN
ajst-30192	11	10	surrounding	surround	VERB
ajst-30192	11	11	rock	rock	NOUN
ajst-30192	11	12	is	be	AUX
ajst-30192	11	13	90	90	NUM
ajst-30192	11	14	%	%	NOUN
ajst-30192	11	15	,	,	PUNCT
ajst-30192	11	16	and	and	CCONJ
ajst-30192	11	17	the	the	DET
ajst-30192	11	18	total	total	ADJ
ajst-30192	11	19	accuracy	accuracy	NOUN
ajst-30192	11	20	rate	rate	NOUN
ajst-30192	11	21	reaches	reach	VERB
ajst-30192	11	22	95	95	NUM
ajst-30192	11	23	%	%	NOUN
ajst-30192	11	24	.	.	PUNCT
ajst-30192	12	1	the	the	DET
ajst-30192	12	2	prediction	prediction	NOUN
ajst-30192	12	3	effect	effect	NOUN
ajst-30192	12	4	is	be	AUX
ajst-30192	12	5	good	good	ADJ
ajst-30192	12	6	.	.	PUNCT
ajst-30192	13	1	keywords	keyword	NOUN
ajst-30192	13	2	:	:	PUNCT
ajst-30192	13	3	excavation	excavation	NOUN
ajst-30192	13	4	parameters	parameter	NOUN
ajst-30192	13	5	,	,	PUNCT
ajst-30192	13	6	xgboost	xgboost	PROPN
ajst-30192	13	7	model	model	PROPN
ajst-30192	13	8	.	.	PUNCT
ajst-30192	14	1	1	1	X
ajst-30192	14	2	.	.	X
ajst-30192	14	3	introduction	introduction	NOUN
ajst-30192	14	4	tbm	tbm	NOUN
ajst-30192	14	5	-	-	PUNCT
ajst-30192	14	6	tunnel	tunnel	NOUN
ajst-30192	14	7	boring	boring	ADJ
ajst-30192	14	8	machine	machine	NOUN
ajst-30192	14	9	is	be	AUX
ajst-30192	14	10	a	a	DET
ajst-30192	14	11	large	large	ADJ
ajst-30192	14	12	-	-	PUNCT
ajst-30192	14	13	scale	scale	NOUN
ajst-30192	14	14	comprehensive	comprehensive	ADJ
ajst-30192	14	15	tunneling	tunneling	NOUN
ajst-30192	14	16	equipment	equipment	NOUN
ajst-30192	14	17	.	.	PUNCT
ajst-30192	15	1	it	it	PRON
ajst-30192	15	2	is	be	AUX
ajst-30192	15	3	widely	widely	ADV
ajst-30192	15	4	used	use	VERB
ajst-30192	15	5	in	in	ADP
ajst-30192	15	6	the	the	DET
ajst-30192	15	7	construction	construction	NOUN
ajst-30192	15	8	of	of	ADP
ajst-30192	15	9	subsea	subsea	NOUN
ajst-30192	15	10	tunnels	tunnel	NOUN
ajst-30192	15	11	,	,	PUNCT
ajst-30192	15	12	traffic	traffic	NOUN
ajst-30192	15	13	tunnels	tunnel	NOUN
ajst-30192	15	14	,	,	PUNCT
ajst-30192	15	15	coal	coal	NOUN
ajst-30192	15	16	mine	mine	NOUN
ajst-30192	15	17	roadways	roadway	NOUN
ajst-30192	15	18	and	and	CCONJ
ajst-30192	15	19	other	other	ADJ
ajst-30192	15	20	projects	project	NOUN
ajst-30192	15	21	because	because	SCONJ
ajst-30192	15	22	of	of	ADP
ajst-30192	15	23	its	its	PRON
ajst-30192	15	24	functions	function	NOUN
ajst-30192	15	25	of	of	ADP
ajst-30192	15	26	tunneling	tunnel	VERB
ajst-30192	15	27	[	[	X
ajst-30192	15	28	1	1	NUM
ajst-30192	15	29	]	]	PUNCT
ajst-30192	15	30	,	,	PUNCT
ajst-30192	15	31	rock	rock	NOUN
ajst-30192	15	32	breaking	breaking	NOUN
ajst-30192	15	33	,	,	PUNCT
ajst-30192	15	34	slag	slag	NOUN
ajst-30192	15	35	discharge	discharge	NOUN
ajst-30192	15	36	and	and	CCONJ
ajst-30192	15	37	support	support	NOUN
ajst-30192	15	38	,	,	PUNCT
ajst-30192	15	39	as	as	ADV
ajst-30192	15	40	well	well	ADV
ajst-30192	15	41	as	as	ADP
ajst-30192	15	42	its	its	PRON
ajst-30192	15	43	advantages	advantage	NOUN
ajst-30192	15	44	of	of	ADP
ajst-30192	15	45	high	high	ADJ
ajst-30192	15	46	efficiency	efficiency	NOUN
ajst-30192	15	47	and	and	CCONJ
ajst-30192	15	48	continuous	continuous	ADJ
ajst-30192	15	49	operation	operation	NOUN
ajst-30192	15	50	,	,	PUNCT
ajst-30192	15	51	less	less	ADJ
ajst-30192	15	52	pollution	pollution	NOUN
ajst-30192	15	53	,	,	PUNCT
ajst-30192	15	54	high	high	ADJ
ajst-30192	15	55	safety	safety	NOUN
ajst-30192	15	56	and	and	CCONJ
ajst-30192	15	57	low	low	ADJ
ajst-30192	15	58	cost	cost	NOUN
ajst-30192	15	59	.	.	PUNCT
ajst-30192	16	1	however	however	ADV
ajst-30192	16	2	,	,	PUNCT
ajst-30192	16	3	due	due	ADP
ajst-30192	16	4	to	to	ADP
ajst-30192	16	5	the	the	DET
ajst-30192	16	6	complex	complex	ADJ
ajst-30192	16	7	surrounding	surround	VERB
ajst-30192	16	8	rock	rock	NOUN
ajst-30192	16	9	conditions	condition	NOUN
ajst-30192	16	10	and	and	CCONJ
ajst-30192	16	11	numerous	numerous	ADJ
ajst-30192	16	12	parameter	parameter	NOUN
ajst-30192	16	13	control	control	NOUN
ajst-30192	16	14	,	,	PUNCT
ajst-30192	16	15	the	the	DET
ajst-30192	16	16	coordination	coordination	NOUN
ajst-30192	16	17	and	and	CCONJ
ajst-30192	16	18	interaction	interaction	NOUN
ajst-30192	16	19	between	between	ADP
ajst-30192	16	20	'	'	PUNCT
ajst-30192	16	21	man	man	NOUN
ajst-30192	16	22	-	-	PUNCT
ajst-30192	16	23	machine	machine	NOUN
ajst-30192	16	24	-	-	PUNCT
ajst-30192	16	25	rock	rock	NOUN
ajst-30192	16	26	'	'	PUNCT
ajst-30192	16	27	is	be	AUX
ajst-30192	16	28	a	a	DET
ajst-30192	16	29	complex	complex	ADJ
ajst-30192	16	30	problem	problem	NOUN
ajst-30192	16	31	.	.	PUNCT
ajst-30192	17	1	the	the	DET
ajst-30192	17	2	tunneling	tunneling	NOUN
ajst-30192	17	3	of	of	ADP
ajst-30192	17	4	tbm	tbm	PROPN
ajst-30192	17	5	relies	rely	VERB
ajst-30192	17	6	on	on	ADP
ajst-30192	17	7	the	the	DET
ajst-30192	17	8	driver	driver	NOUN
ajst-30192	17	9	's	's	PART
ajst-30192	17	10	usual	usual	ADJ
ajst-30192	17	11	experience	experience	NOUN
ajst-30192	17	12	to	to	PART
ajst-30192	17	13	control	control	VERB
ajst-30192	17	14	the	the	DET
ajst-30192	17	15	equipment	equipment	NOUN
ajst-30192	17	16	and	and	CCONJ
ajst-30192	17	17	adjust	adjust	VERB
ajst-30192	17	18	the	the	DET
ajst-30192	17	19	parameters	parameter	NOUN
ajst-30192	17	20	,	,	PUNCT
ajst-30192	17	21	and	and	CCONJ
ajst-30192	17	22	the	the	DET
ajst-30192	17	23	equipment	equipment	NOUN
ajst-30192	17	24	and	and	CCONJ
ajst-30192	17	25	the	the	DET
ajst-30192	17	26	surrounding	surround	VERB
ajst-30192	17	27	rock	rock	NOUN
ajst-30192	17	28	are	be	AUX
ajst-30192	17	29	interactingbelow	interactingbelow	ADJ
ajst-30192	17	30	,	,	PUNCT
ajst-30192	17	31	which	which	PRON
ajst-30192	17	32	may	may	AUX
ajst-30192	17	33	lead	lead	VERB
ajst-30192	17	34	to	to	ADP
ajst-30192	17	35	the	the	DET
ajst-30192	17	36	low	low	ADJ
ajst-30192	17	37	matching	matching	NOUN
ajst-30192	17	38	degree	degree	NOUN
ajst-30192	17	39	between	between	ADP
ajst-30192	17	40	the	the	DET
ajst-30192	17	41	machine	machine	NOUN
ajst-30192	17	42	parameter	parameter	NOUN
ajst-30192	17	43	combination	combination	NOUN
ajst-30192	17	44	and	and	CCONJ
ajst-30192	17	45	the	the	DET
ajst-30192	17	46	geological	geological	ADJ
ajst-30192	17	47	conditionsbelow	conditionsbelow	NOUN
ajst-30192	17	48	[	[	X
ajst-30192	17	49	2	2	NUM
ajst-30192	17	50	]	]	PUNCT
ajst-30192	17	51	,	,	PUNCT
ajst-30192	17	52	so	so	SCONJ
ajst-30192	17	53	that	that	SCONJ
ajst-30192	17	54	tbm	tbm	PROPN
ajst-30192	17	55	faces	face	VERB
ajst-30192	17	56	problems	problem	NOUN
ajst-30192	17	57	such	such	ADJ
ajst-30192	17	58	as	as	ADP
ajst-30192	17	59	jamming	jamming	NOUN
ajst-30192	17	60	and	and	CCONJ
ajst-30192	17	61	tool	tool	NOUN
ajst-30192	17	62	damage	damage	NOUN
ajst-30192	17	63	,	,	PUNCT
ajst-30192	17	64	and	and	CCONJ
ajst-30192	17	65	even	even	ADV
ajst-30192	17	66	disasters	disaster	NOUN
ajst-30192	17	67	such	such	ADJ
ajst-30192	17	68	as	as	ADP
ajst-30192	17	69	surrounding	surround	VERB
ajst-30192	17	70	rock	rock	NOUN
ajst-30192	17	71	collapse	collapse	NOUN
ajst-30192	17	72	and	and	CCONJ
ajst-30192	17	73	rockburst	rockburst	NOUN
ajst-30192	17	74	.	.	PUNCT
ajst-30192	18	1	therefore	therefore	ADV
ajst-30192	18	2	,	,	PUNCT
ajst-30192	18	3	in	in	ADP
ajst-30192	18	4	order	order	NOUN
ajst-30192	18	5	to	to	PART
ajst-30192	18	6	ensure	ensure	VERB
ajst-30192	18	7	the	the	DET
ajst-30192	18	8	tbm	tbm	NOUN
ajst-30192	18	9	tunneling	tunneling	NOUN
ajst-30192	18	10	efficiency	efficiency	NOUN
ajst-30192	18	11	in	in	ADP
ajst-30192	18	12	deep	deep	ADJ
ajst-30192	18	13	roadway	roadway	NOUN
ajst-30192	18	14	engineering	engineering	NOUN
ajst-30192	18	15	and	and	CCONJ
ajst-30192	18	16	reduce	reduce	VERB
ajst-30192	18	17	the	the	DET
ajst-30192	18	18	possibility	possibility	NOUN
ajst-30192	18	19	of	of	ADP
ajst-30192	18	20	construction	construction	NOUN
ajst-30192	18	21	accidents	accident	NOUN
ajst-30192	18	22	,	,	PUNCT
ajst-30192	18	23	it	it	PRON
ajst-30192	18	24	is	be	AUX
ajst-30192	18	25	necessary	necessary	ADJ
ajst-30192	18	26	to	to	PART
ajst-30192	18	27	establish	establish	VERB
ajst-30192	18	28	a	a	DET
ajst-30192	18	29	tbm	tbm	ADJ
ajst-30192	18	30	real	real	ADJ
ajst-30192	18	31	-	-	PUNCT
ajst-30192	18	32	time	time	NOUN
ajst-30192	18	33	surrounding	surround	VERB
ajst-30192	18	34	rock	rock	NOUN
ajst-30192	18	35	grade	grade	NOUN
ajst-30192	18	36	prediction	prediction	NOUN
ajst-30192	18	37	model	model	NOUN
ajst-30192	18	38	to	to	PART
ajst-30192	18	39	ensure	ensure	VERB
ajst-30192	18	40	the	the	DET
ajst-30192	18	41	tbm	tbm	NOUN
ajst-30192	18	42	tunneling	tunneling	NOUN
ajst-30192	18	43	efficiency	efficiency	NOUN
ajst-30192	18	44	in	in	ADP
ajst-30192	18	45	deep	deep	ADJ
ajst-30192	18	46	roadway	roadway	NOUN
ajst-30192	18	47	engineering	engineering	NOUN
ajst-30192	18	48	and	and	CCONJ
ajst-30192	18	49	reduce	reduce	VERB
ajst-30192	18	50	the	the	DET
ajst-30192	18	51	possibility	possibility	NOUN
ajst-30192	18	52	of	of	ADP
ajst-30192	18	53	construction	construction	NOUN
ajst-30192	18	54	accidentsbelow	accidentsbelow	NOUN
ajst-30192	18	55	[	[	X
ajst-30192	18	56	3	3	NUM
ajst-30192	18	57	]	]	PUNCT
ajst-30192	18	58	.	.	PUNCT
ajst-30192	19	1	gholami	gholami	NOUN
ajst-30192	19	2	et	et	PROPN
ajst-30192	19	3	al	al	PROPN
ajst-30192	19	4	.	.	PUNCT
ajst-30192	20	1	[	[	X
ajst-30192	20	2	4	4	X
ajst-30192	20	3	]	]	PUNCT
ajst-30192	20	4	used	use	VERB
ajst-30192	20	5	the	the	DET
ajst-30192	20	6	index	index	NOUN
ajst-30192	20	7	parameters	parameter	NOUN
ajst-30192	20	8	of	of	ADP
ajst-30192	20	9	the	the	DET
ajst-30192	20	10	rmr	rmr	PROPN
ajst-30192	20	11	system	system	NOUN
ajst-30192	20	12	to	to	PART
ajst-30192	20	13	compare	compare	VERB
ajst-30192	20	14	the	the	DET
ajst-30192	20	15	accuracy	accuracy	NOUN
ajst-30192	20	16	of	of	ADP
ajst-30192	20	17	the	the	DET
ajst-30192	20	18	rmr	rmr	PROPN
ajst-30192	20	19	system	system	NOUN
ajst-30192	20	20	with	with	ADP
ajst-30192	20	21	the	the	DET
ajst-30192	20	22	two	two	NUM
ajst-30192	20	23	algorithms	algorithm	NOUN
ajst-30192	20	24	of	of	ADP
ajst-30192	20	25	relevance	relevance	NOUN
ajst-30192	20	26	vector	vector	NOUN
ajst-30192	20	27	regression	regression	NOUN
ajst-30192	20	28	and	and	CCONJ
ajst-30192	20	29	support	support	VERB
ajst-30192	20	30	vector	vector	NOUN
ajst-30192	20	31	regression	regression	NOUN
ajst-30192	20	32	,	,	PUNCT
ajst-30192	20	33	and	and	CCONJ
ajst-30192	20	34	finally	finally	ADV
ajst-30192	20	35	showed	show	VERB
ajst-30192	20	36	that	that	SCONJ
ajst-30192	20	37	the	the	DET
ajst-30192	20	38	artificial	artificial	ADJ
ajst-30192	20	39	intelligence	intelligence	NOUN
ajst-30192	20	40	algorithm	algorithm	NOUN
ajst-30192	20	41	had	have	VERB
ajst-30192	20	42	a	a	DET
ajst-30192	20	43	relatively	relatively	ADV
ajst-30192	20	44	good	good	ADJ
ajst-30192	20	45	performance	performance	NOUN
ajst-30192	20	46	.	.	PUNCT
ajst-30192	21	1	jian	jian	PROPN
ajst-30192	21	2	et	et	PROPN
ajst-30192	21	3	al	al	PROPN
ajst-30192	21	4	.	.	PUNCT
ajst-30192	22	1	[	[	X
ajst-30192	22	2	5	5	NUM
ajst-30192	22	3	]	]	PUNCT
ajst-30192	22	4	used	use	VERB
ajst-30192	22	5	the	the	DET
ajst-30192	22	6	q	q	NOUN
ajst-30192	22	7	system	system	NOUN
ajst-30192	22	8	evaluation	evaluation	NOUN
ajst-30192	22	9	index	index	NOUN
ajst-30192	22	10	parameters	parameter	NOUN
ajst-30192	22	11	,	,	PUNCT
ajst-30192	22	12	and	and	CCONJ
ajst-30192	22	13	used	use	VERB
ajst-30192	22	14	the	the	DET
ajst-30192	22	15	artificial	artificial	ADJ
ajst-30192	22	16	neural	neural	ADJ
ajst-30192	22	17	network	network	NOUN
ajst-30192	22	18	to	to	PART
ajst-30192	22	19	qualitatively	qualitatively	ADV
ajst-30192	22	20	evaluate	evaluate	VERB
ajst-30192	22	21	the	the	DET
ajst-30192	22	22	rock	rock	NOUN
ajst-30192	22	23	mass	mass	PROPN
ajst-30192	22	24	quality	quality	NOUN
ajst-30192	22	25	.	.	PUNCT
ajst-30192	23	1	sanio	sanio	NOUN
ajst-30192	24	1	[	[	X
ajst-30192	24	2	6	6	NUM
ajst-30192	24	3	]	]	PUNCT
ajst-30192	24	4	has	have	VERB
ajst-30192	24	5	an	an	DET
ajst-30192	24	6	in	in	ADP
ajst-30192	24	7	-	-	PUNCT
ajst-30192	24	8	depth	depth	NOUN
ajst-30192	24	9	observation	observation	NOUN
ajst-30192	24	10	on	on	ADP
ajst-30192	24	11	the	the	DET
ajst-30192	24	12	failure	failure	NOUN
ajst-30192	24	13	phenomenon	phenomenon	NOUN
ajst-30192	24	14	of	of	ADP
ajst-30192	24	15	tbm	tbm	NOUN
ajst-30192	24	16	disc	disc	NOUN
ajst-30192	24	17	cutter	cutter	NOUN
ajst-30192	24	18	in	in	ADP
ajst-30192	24	19	his	his	PRON
ajst-30192	24	20	research	research	NOUN
ajst-30192	24	21	.	.	PUNCT
ajst-30192	25	1	he	he	PRON
ajst-30192	25	2	pointed	point	VERB
ajst-30192	25	3	out	out	ADP
ajst-30192	25	4	that	that	SCONJ
ajst-30192	25	5	the	the	DET
ajst-30192	25	6	principal	principal	ADJ
ajst-30192	25	7	stress	stress	NOUN
ajst-30192	25	8	of	of	ADP
ajst-30192	25	9	rock	rock	NOUN
ajst-30192	25	10	is	be	AUX
ajst-30192	25	11	greater	great	ADJ
ajst-30192	25	12	than	than	ADP
ajst-30192	25	13	the	the	DET
ajst-30192	25	14	shear	shear	NOUN
ajst-30192	25	15	stress	stress	NOUN
ajst-30192	25	16	in	in	ADP
ajst-30192	25	17	the	the	DET
ajst-30192	25	18	process	process	NOUN
ajst-30192	25	19	of	of	ADP
ajst-30192	25	20	breaking	break	VERB
ajst-30192	25	21	rock	rock	NOUN
ajst-30192	25	22	,	,	PUNCT
ajst-30192	25	23	which	which	PRON
ajst-30192	25	24	leads	lead	VERB
ajst-30192	25	25	to	to	ADP
ajst-30192	25	26	the	the	DET
ajst-30192	25	27	cracking	cracking	NOUN
ajst-30192	25	28	and	and	CCONJ
ajst-30192	25	29	ductile	ductile	NOUN
ajst-30192	25	30	fracture	fracture	NOUN
ajst-30192	25	31	of	of	ADP
ajst-30192	25	32	rock	rock	NOUN
ajst-30192	25	33	under	under	ADP
ajst-30192	25	34	stress	stress	NOUN
ajst-30192	25	35	,	,	PUNCT
ajst-30192	25	36	rather	rather	ADV
ajst-30192	25	37	than	than	ADP
ajst-30192	25	38	simple	simple	ADJ
ajst-30192	25	39	shear	shear	NOUN
ajst-30192	25	40	fracture	fracture	NOUN
ajst-30192	25	41	,	,	PUNCT
ajst-30192	25	42	and	and	CCONJ
ajst-30192	25	43	deduced	deduce	VERB
ajst-30192	25	44	the	the	DET
ajst-30192	25	45	formula	formula	NOUN
ajst-30192	25	46	of	of	ADP
ajst-30192	25	47	rock	rock	NOUN
ajst-30192	25	48	breaking	break	VERB
ajst-30192	25	49	performance	performance	NOUN
ajst-30192	25	50	of	of	ADP
ajst-30192	25	51	disc	disc	NOUN
ajst-30192	25	52	cutter	cutter	NOUN
ajst-30192	25	53	in	in	ADP
ajst-30192	25	54	different	different	ADJ
ajst-30192	25	55	rocks	rock	NOUN
ajst-30192	25	56	to	to	PART
ajst-30192	25	57	support	support	VERB
ajst-30192	25	58	more	more	ADV
ajst-30192	25	59	accurate	accurate	ADJ
ajst-30192	25	60	parameter	parameter	NOUN
ajst-30192	25	61	selection	selection	NOUN
ajst-30192	25	62	.	.	PUNCT
ajst-30192	26	1	rosutami	rosutami	PROPN
ajst-30192	27	1	[	[	X
ajst-30192	27	2	7	7	X
ajst-30192	27	3	]	]	PUNCT
ajst-30192	27	4	proposed	propose	VERB
ajst-30192	27	5	a	a	DET
ajst-30192	27	6	simple	simple	ADJ
ajst-30192	27	7	model	model	NOUN
ajst-30192	27	8	for	for	ADP
ajst-30192	27	9	evaluating	evaluate	VERB
ajst-30192	27	10	the	the	DET
ajst-30192	27	11	drilling	drilling	NOUN
ajst-30192	27	12	capacity	capacity	NOUN
ajst-30192	27	13	of	of	ADP
ajst-30192	27	14	rock	rock	NOUN
ajst-30192	27	15	and	and	CCONJ
ajst-30192	27	16	the	the	DET
ajst-30192	27	17	performance	performance	NOUN
ajst-30192	27	18	range	range	NOUN
ajst-30192	27	19	of	of	ADP
ajst-30192	27	20	tbm	tbm	NOUN
ajst-30192	27	21	,	,	PUNCT
ajst-30192	27	22	which	which	PRON
ajst-30192	27	23	associates	associate	VERB
ajst-30192	27	24	the	the	DET
ajst-30192	27	25	machine	machine	NOUN
ajst-30192	27	26	performance	performance	NOUN
ajst-30192	27	27	with	with	ADP
ajst-30192	27	28	two	two	NUM
ajst-30192	27	29	main	main	ADJ
ajst-30192	27	30	rock	rock	NOUN
ajst-30192	27	31	properties	property	NOUN
ajst-30192	27	32	(	(	PUNCT
ajst-30192	27	33	compressive	compressive	ADJ
ajst-30192	27	34	strength	strength	NOUN
ajst-30192	27	35	ucs	ucs	PROPN
ajst-30192	27	36	and	and	CCONJ
ajst-30192	27	37	rock	rock	NOUN
ajst-30192	27	38	mass	mass	PROPN
ajst-30192	27	39	grade	grade	PROPN
ajst-30192	27	40	rqd	rqd	NOUN
ajst-30192	27	41	)	)	PUNCT
ajst-30192	27	42	and	and	CCONJ
ajst-30192	27	43	two	two	NUM
ajst-30192	27	44	operating	operate	VERB
ajst-30192	27	45	parameters	parameter	NOUN
ajst-30192	27	46	(	(	PUNCT
ajst-30192	27	47	average	average	ADJ
ajst-30192	27	48	thrust	thrust	NOUN
ajst-30192	27	49	and	and	CCONJ
ajst-30192	27	50	rotational	rotational	ADJ
ajst-30192	27	51	speed	speed	NOUN
ajst-30192	27	52	of	of	ADP
ajst-30192	27	53	the	the	DET
ajst-30192	27	54	cutting	cut	VERB
ajst-30192	27	55	head	head	NOUN
ajst-30192	27	56	)	)	PUNCT
ajst-30192	27	57	.	.	PUNCT
ajst-30192	28	1	this	this	DET
ajst-30192	28	2	model	model	NOUN
ajst-30192	28	3	can	can	AUX
ajst-30192	28	4	be	be	AUX
ajst-30192	28	5	used	use	VERB
ajst-30192	28	6	to	to	PART
ajst-30192	28	7	quickly	quickly	ADV
ajst-30192	28	8	predict	predict	VERB
ajst-30192	28	9	the	the	DET
ajst-30192	28	10	performance	performance	NOUN
ajst-30192	28	11	of	of	ADP
ajst-30192	28	12	tbms	tbms	NOUN
ajst-30192	28	13	with	with	ADP
ajst-30192	28	14	different	different	ADJ
ajst-30192	28	15	diameters	diameter	NOUN
ajst-30192	28	16	under	under	ADP
ajst-30192	28	17	different	different	ADJ
ajst-30192	28	18	geological	geological	ADJ
ajst-30192	28	19	conditions	condition	NOUN
ajst-30192	28	20	.	.	PUNCT
ajst-30192	29	1	based	base	VERB
ajst-30192	29	2	on	on	ADP
ajst-30192	29	3	this	this	PRON
ajst-30192	29	4	,	,	PUNCT
ajst-30192	29	5	on	on	ADP
ajst-30192	29	6	the	the	DET
ajst-30192	29	7	basis	basis	NOUN
ajst-30192	29	8	of	of	ADP
ajst-30192	29	9	a	a	DET
ajst-30192	29	10	large	large	ADJ
ajst-30192	29	11	number	number	NOUN
ajst-30192	29	12	of	of	ADP
ajst-30192	29	13	data	datum	NOUN
ajst-30192	29	14	mining	mining	NOUN
ajst-30192	29	15	and	and	CCONJ
ajst-30192	29	16	preprocessing	preprocessing	NOUN
ajst-30192	29	17	on	on	ADP
ajst-30192	29	18	the	the	DET
ajst-30192	29	19	rock	rock	NOUN
ajst-30192	29	20	mass	mass	NOUN
ajst-30192	29	21	parameters	parameter	NOUN
ajst-30192	29	22	and	and	CCONJ
ajst-30192	29	23	tunneling	tunneling	NOUN
ajst-30192	29	24	parameters	parameter	NOUN
ajst-30192	29	25	of	of	ADP
ajst-30192	29	26	tbm	tbm	NOUN
ajst-30192	29	27	tunneling	tunneling	NOUN
ajst-30192	29	28	roadway	roadway	NOUN
ajst-30192	29	29	in	in	ADP
ajst-30192	29	30	shoushan	shoushan	NOUN
ajst-30192	29	31	no.1	no.1	VERB
ajst-30192	29	32	coal	coal	NOUN
ajst-30192	29	33	mine	mine	NOUN
ajst-30192	29	34	,	,	PUNCT
ajst-30192	29	35	the	the	DET
ajst-30192	29	36	machine	machine	NOUN
ajst-30192	29	37	learning	learn	VERB
ajst-30192	29	38	algorithm	algorithm	NOUN
ajst-30192	29	39	is	be	AUX
ajst-30192	29	40	used	use	VERB
ajst-30192	29	41	to	to	PART
ajst-30192	29	42	establish	establish	VERB
ajst-30192	29	43	the	the	DET
ajst-30192	29	44	data	datum	NOUN
ajst-30192	29	45	model	model	NOUN
ajst-30192	29	46	.	.	PUNCT
ajst-30192	30	1	through	through	ADP
ajst-30192	30	2	the	the	DET
ajst-30192	30	3	calculation	calculation	NOUN
ajst-30192	30	4	of	of	ADP
ajst-30192	30	5	tbm	tbm	NOUN
ajst-30192	30	6	tunneling	tunneling	NOUN
ajst-30192	30	7	speed	speed	NOUN
ajst-30192	30	8	prediction	prediction	NOUN
ajst-30192	30	9	model	model	NOUN
ajst-30192	30	10	and	and	CCONJ
ajst-30192	30	11	tbm	tbm	ADJ
ajst-30192	30	12	utilization	utilization	NOUN
ajst-30192	30	13	rate	rate	NOUN
ajst-30192	30	14	prediction	prediction	NOUN
ajst-30192	30	15	model	model	NOUN
ajst-30192	30	16	,	,	PUNCT
ajst-30192	30	17	the	the	DET
ajst-30192	30	18	classification	classification	NOUN
ajst-30192	30	19	standard	standard	NOUN
ajst-30192	30	20	of	of	ADP
ajst-30192	30	21	surrounding	surround	VERB
ajst-30192	30	22	rock	rock	NOUN
ajst-30192	30	23	of	of	ADP
ajst-30192	30	24	tbm	tbm	PROPN
ajst-30192	30	25	coal	coal	NOUN
ajst-30192	30	26	mine	mine	NOUN
ajst-30192	30	27	roadway	roadway	NOUN
ajst-30192	30	28	is	be	AUX
ajst-30192	30	29	obtained	obtain	VERB
ajst-30192	30	30	.	.	PUNCT
ajst-30192	31	1	because	because	SCONJ
ajst-30192	31	2	the	the	DET
ajst-30192	31	3	rock	rock	NOUN
ajst-30192	31	4	mass	mass	NOUN
ajst-30192	31	5	parameters	parameter	NOUN
ajst-30192	31	6	are	be	AUX
ajst-30192	31	7	difficult	difficult	ADJ
ajst-30192	31	8	to	to	PART
ajst-30192	31	9	obtain	obtain	VERB
ajst-30192	31	10	in	in	ADP
ajst-30192	31	11	the	the	DET
ajst-30192	31	12	actual	actual	ADJ
ajst-30192	31	13	tbm	tbm	ADJ
ajst-30192	31	14	tunneling	tunneling	NOUN
ajst-30192	31	15	process	process	NOUN
ajst-30192	31	16	,	,	PUNCT
ajst-30192	31	17	the	the	DET
ajst-30192	31	18	geological	geological	ADJ
ajst-30192	31	19	conditions	condition	NOUN
ajst-30192	31	20	in	in	ADP
ajst-30192	31	21	front	front	NOUN
ajst-30192	31	22	are	be	AUX
ajst-30192	31	23	difficult	difficult	ADJ
ajst-30192	31	24	to	to	PART
ajst-30192	31	25	detect	detect	VERB
ajst-30192	31	26	.	.	PUNCT
ajst-30192	32	1	the	the	DET
ajst-30192	32	2	tunneling	tunneling	NOUN
ajst-30192	32	3	parameters	parameter	NOUN
ajst-30192	32	4	transmitted	transmit	VERB
ajst-30192	32	5	by	by	ADP
ajst-30192	32	6	the	the	DET
ajst-30192	32	7	tbm	tbm	PROPN
ajst-30192	32	8	cutterhead	cutterhead	PROPN
ajst-30192	32	9	drive	drive	NOUN
ajst-30192	32	10	system	system	NOUN
ajst-30192	32	11	are	be	AUX
ajst-30192	32	12	used	use	VERB
ajst-30192	32	13	to	to	PART
ajst-30192	32	14	realize	realize	VERB
ajst-30192	32	15	the	the	DET
ajst-30192	32	16	perception	perception	NOUN
ajst-30192	32	17	of	of	ADP
ajst-30192	32	18	rock	rock	NOUN
ajst-30192	32	19	mass	mass	PROPN
ajst-30192	32	20	parameters	parameter	NOUN
ajst-30192	32	21	,	,	PUNCT
ajst-30192	32	22	so	so	SCONJ
ajst-30192	32	23	that	that	SCONJ
ajst-30192	32	24	various	various	ADJ
ajst-30192	32	25	parameters	parameter	NOUN
ajst-30192	32	26	are	be	AUX
ajst-30192	32	27	integrated	integrate	VERB
ajst-30192	32	28	to	to	PART
ajst-30192	32	29	perceive	perceive	VERB
ajst-30192	32	30	and	and	CCONJ
ajst-30192	32	31	identify	identify	VERB
ajst-30192	32	32	the	the	DET
ajst-30192	32	33	surrounding	surround	VERB
ajst-30192	32	34	rock	rock	NOUN
ajst-30192	32	35	grade	grade	NOUN
ajst-30192	32	36	.	.	PUNCT
ajst-30192	33	1	a	a	DET
ajst-30192	33	2	real	real	ADJ
ajst-30192	33	3	-	-	PUNCT
ajst-30192	33	4	time	time	NOUN
ajst-30192	33	5	prediction	prediction	NOUN
ajst-30192	33	6	model	model	NOUN
ajst-30192	33	7	of	of	ADP
ajst-30192	33	8	tbm	tbm	NOUN
ajst-30192	33	9	surrounding	surround	VERB
ajst-30192	33	10	rock	rock	NOUN
ajst-30192	33	11	based	base	VERB
ajst-30192	33	12	on	on	ADP
ajst-30192	33	13	xgboost	xgboost	PROPN
ajst-30192	33	14	model	model	PROPN
ajst-30192	33	15	is	be	AUX
ajst-30192	33	16	proposed	propose	VERB
ajst-30192	33	17	,	,	PUNCT
ajst-30192	33	18	and	and	CCONJ
ajst-30192	33	19	compared	compare	VERB
ajst-30192	33	20	with	with	ADP
ajst-30192	33	21	the	the	DET
ajst-30192	33	22	single	single	ADJ
ajst-30192	33	23	lstm	lstm	NOUN
ajst-30192	33	24	model	model	NOUN
ajst-30192	33	25	to	to	PART
ajst-30192	33	26	highlight	highlight	VERB
ajst-30192	33	27	the	the	DET
ajst-30192	33	28	prediction	prediction	NOUN
ajst-30192	33	29	effect	effect	NOUN
ajst-30192	33	30	of	of	ADP
ajst-30192	33	31	the	the	DET
ajst-30192	33	32	optimization	optimization	NOUN
ajst-30192	33	33	model	model	NOUN
ajst-30192	33	34	.	.	PUNCT
ajst-30192	34	1	156	156	NUM
ajst-30192	34	2	2	2	NUM
ajst-30192	34	3	.	.	PUNCT
ajst-30192	34	4	distribution	distribution	NOUN
ajst-30192	34	5	characteristics	characteristic	NOUN
ajst-30192	34	6	2.1	2.1	NUM
ajst-30192	34	7	.	.	PUNCT
ajst-30192	34	8	box	box	NOUN
ajst-30192	34	9	line	line	NOUN
ajst-30192	34	10	diagram	diagram	NOUN
ajst-30192	34	11	principle	principle	NOUN
ajst-30192	34	12	as	as	SCONJ
ajst-30192	34	13	shown	show	VERB
ajst-30192	34	14	in	in	ADP
ajst-30192	34	15	figure	figure	NOUN
ajst-30192	34	16	1	1	NUM
ajst-30192	34	17	,	,	PUNCT
ajst-30192	34	18	the	the	DET
ajst-30192	34	19	box	box	NOUN
ajst-30192	34	20	plot	plot	NOUN
ajst-30192	34	21	is	be	AUX
ajst-30192	34	22	composed	compose	VERB
ajst-30192	34	23	of	of	ADP
ajst-30192	34	24	a	a	DET
ajst-30192	34	25	set	set	NOUN
ajst-30192	34	26	of	of	ADP
ajst-30192	34	27	lower	low	ADJ
ajst-30192	34	28	bounds	bound	NOUN
ajst-30192	34	29	,	,	PUNCT
ajst-30192	34	30	lower	low	ADJ
ajst-30192	34	31	quantiles	quantile	NOUN
ajst-30192	34	32	q1	q1	PROPN
ajst-30192	34	33	[	[	X
ajst-30192	34	34	8	8	NUM
ajst-30192	34	35	]	]	PUNCT
ajst-30192	34	36	,	,	PUNCT
ajst-30192	34	37	medians	median	NOUN
ajst-30192	34	38	q2	q2	NOUN
ajst-30192	34	39	,	,	PUNCT
ajst-30192	34	40	upper	upper	ADJ
ajst-30192	34	41	quantiles	quantile	NOUN
ajst-30192	34	42	q3	q3	PROPN
ajst-30192	34	43	,	,	PUNCT
ajst-30192	34	44	upper	upper	ADJ
ajst-30192	34	45	bounds	bound	NOUN
ajst-30192	34	46	and	and	CCONJ
ajst-30192	34	47	outliers	outlier	NOUN
ajst-30192	34	48	in	in	ADP
ajst-30192	34	49	the	the	DET
ajst-30192	34	50	data	datum	NOUN
ajst-30192	34	51	,	,	PUNCT
ajst-30192	34	52	which	which	PRON
ajst-30192	34	53	can	can	AUX
ajst-30192	34	54	reflect	reflect	VERB
ajst-30192	34	55	the	the	DET
ajst-30192	34	56	concentration	concentration	NOUN
ajst-30192	34	57	trend	trend	NOUN
ajst-30192	34	58	,	,	PUNCT
ajst-30192	34	59	dispersion	dispersion	NOUN
ajst-30192	34	60	degree	degree	NOUN
ajst-30192	34	61	and	and	CCONJ
ajst-30192	34	62	distribution	distribution	NOUN
ajst-30192	34	63	shape	shape	NOUN
ajst-30192	34	64	of	of	ADP
ajst-30192	34	65	a	a	DET
ajst-30192	34	66	set	set	NOUN
ajst-30192	34	67	of	of	ADP
ajst-30192	34	68	data	datum	NOUN
ajst-30192	34	69	.	.	PUNCT
ajst-30192	35	1	on	on	ADP
ajst-30192	35	2	the	the	DET
ajst-30192	35	3	box	box	PROPN
ajst-30192	35	4	plot	plot	NOUN
ajst-30192	35	5	,	,	PUNCT
ajst-30192	35	6	the	the	DET
ajst-30192	35	7	median	median	PROPN
ajst-30192	35	8	q2	q2	NOUN
ajst-30192	35	9	reflects	reflect	VERB
ajst-30192	35	10	the	the	DET
ajst-30192	35	11	center	center	ADJ
ajst-30192	35	12	position	position	NOUN
ajst-30192	35	13	of	of	ADP
ajst-30192	35	14	the	the	DET
ajst-30192	35	15	data	datum	NOUN
ajst-30192	35	16	distribution	distribution	NOUN
ajst-30192	35	17	,	,	PUNCT
ajst-30192	35	18	the	the	DET
ajst-30192	35	19	quartile	quartile	NOUN
ajst-30192	35	20	spacing	space	VERB
ajst-30192	35	21	box	box	NOUN
ajst-30192	35	22	reflects	reflect	VERB
ajst-30192	35	23	the	the	DET
ajst-30192	35	24	concentrated	concentrated	ADJ
ajst-30192	35	25	interval	interval	NOUN
ajst-30192	35	26	of	of	ADP
ajst-30192	35	27	the	the	DET
ajst-30192	35	28	data	datum	NOUN
ajst-30192	35	29	,	,	PUNCT
ajst-30192	35	30	and	and	CCONJ
ajst-30192	35	31	the	the	DET
ajst-30192	35	32	lower	low	ADJ
ajst-30192	35	33	and	and	CCONJ
ajst-30192	35	34	upper	upper	ADJ
ajst-30192	35	35	bounds	bound	NOUN
ajst-30192	35	36	reflect	reflect	VERB
ajst-30192	35	37	the	the	DET
ajst-30192	35	38	distribution	distribution	NOUN
ajst-30192	35	39	range	range	NOUN
ajst-30192	35	40	of	of	ADP
ajst-30192	35	41	the	the	DET
ajst-30192	35	42	data	datum	NOUN
ajst-30192	35	43	.	.	PUNCT
ajst-30192	36	1	from	from	ADP
ajst-30192	36	2	the	the	DET
ajst-30192	36	3	box	box	PROPN
ajst-30192	36	4	plot	plot	NOUN
ajst-30192	36	5	,	,	PUNCT
ajst-30192	36	6	we	we	PRON
ajst-30192	36	7	can	can	AUX
ajst-30192	36	8	roughly	roughly	ADV
ajst-30192	36	9	see	see	VERB
ajst-30192	36	10	whether	whether	SCONJ
ajst-30192	36	11	the	the	DET
ajst-30192	36	12	data	datum	NOUN
ajst-30192	36	13	is	be	AUX
ajst-30192	36	14	symmetrical	symmetrical	ADJ
ajst-30192	36	15	.	.	PUNCT
ajst-30192	37	1	by	by	ADP
ajst-30192	37	2	drawing	draw	VERB
ajst-30192	37	3	the	the	DET
ajst-30192	37	4	box	box	PROPN
ajst-30192	37	5	line	line	NOUN
ajst-30192	37	6	diagram	diagram	NOUN
ajst-30192	37	7	of	of	ADP
ajst-30192	37	8	a	a	DET
ajst-30192	37	9	set	set	NOUN
ajst-30192	37	10	of	of	ADP
ajst-30192	37	11	data	datum	NOUN
ajst-30192	37	12	in	in	ADP
ajst-30192	37	13	the	the	DET
ajst-30192	37	14	same	same	ADJ
ajst-30192	37	15	coordinate	coordinate	NOUN
ajst-30192	37	16	,	,	PUNCT
ajst-30192	37	17	the	the	DET
ajst-30192	37	18	distribution	distribution	NOUN
ajst-30192	37	19	characteristics	characteristic	NOUN
ajst-30192	37	20	and	and	CCONJ
ajst-30192	37	21	mutual	mutual	ADJ
ajst-30192	37	22	differences	difference	NOUN
ajst-30192	37	23	of	of	ADP
ajst-30192	37	24	each	each	DET
ajst-30192	37	25	group	group	NOUN
ajst-30192	37	26	of	of	ADP
ajst-30192	37	27	data	datum	NOUN
ajst-30192	37	28	can	can	AUX
ajst-30192	37	29	be	be	AUX
ajst-30192	37	30	clearly	clearly	ADV
ajst-30192	37	31	displayed	display	VERB
ajst-30192	37	32	,	,	PUNCT
ajst-30192	37	33	which	which	PRON
ajst-30192	37	34	provides	provide	VERB
ajst-30192	37	35	clues	clue	NOUN
ajst-30192	37	36	for	for	ADP
ajst-30192	37	37	finding	find	VERB
ajst-30192	37	38	problems	problem	NOUN
ajst-30192	37	39	and	and	CCONJ
ajst-30192	37	40	screening	screening	NOUN
ajst-30192	37	41	indicators	indicator	NOUN
ajst-30192	37	42	.	.	PUNCT
ajst-30192	38	1	figure	figure	VERB
ajst-30192	38	2	1	1	NUM
ajst-30192	38	3	.	.	PUNCT
ajst-30192	39	1	google	google	PROPN
ajst-30192	39	2	scholar	scholar	PROPN
ajst-30192	39	3	box	box	PROPN
ajst-30192	39	4	line	line	PROPN
ajst-30192	39	5	diagram	diagram	PROPN
ajst-30192	39	6	2.2	2.2	NUM
ajst-30192	39	7	.	.	PUNCT
ajst-30192	39	8	machine	machine	NOUN
ajst-30192	39	9	parameter	parameter	NOUN
ajst-30192	39	10	distribution	distribution	NOUN
ajst-30192	39	11	as	as	SCONJ
ajst-30192	39	12	shown	show	VERB
ajst-30192	39	13	in	in	ADP
ajst-30192	39	14	figures	figure	NOUN
ajst-30192	39	15	2	2	NUM
ajst-30192	39	16	and	and	CCONJ
ajst-30192	39	17	3	3	NUM
ajst-30192	39	18	,	,	PUNCT
ajst-30192	39	19	the	the	DET
ajst-30192	39	20	distribution	distribution	NOUN
ajst-30192	39	21	of	of	ADP
ajst-30192	39	22	the	the	DET
ajst-30192	39	23	two	two	NUM
ajst-30192	39	24	parameters	parameter	NOUN
ajst-30192	39	25	of	of	ADP
ajst-30192	39	26	thrust	thrust	NOUN
ajst-30192	39	27	and	and	CCONJ
ajst-30192	39	28	torque	torque	NOUN
ajst-30192	39	29	is	be	AUX
ajst-30192	39	30	ideal	ideal	ADJ
ajst-30192	39	31	,	,	PUNCT
ajst-30192	39	32	and	and	CCONJ
ajst-30192	39	33	the	the	DET
ajst-30192	39	34	degree	degree	NOUN
ajst-30192	39	35	of	of	ADP
ajst-30192	39	36	discrimination	discrimination	NOUN
ajst-30192	39	37	in	in	ADP
ajst-30192	39	38	each	each	DET
ajst-30192	39	39	grade	grade	NOUN
ajst-30192	39	40	of	of	ADP
ajst-30192	39	41	surrounding	surround	VERB
ajst-30192	39	42	rock	rock	NOUN
ajst-30192	39	43	is	be	AUX
ajst-30192	39	44	very	very	ADV
ajst-30192	39	45	good	good	ADJ
ajst-30192	39	46	,	,	PUNCT
ajst-30192	39	47	which	which	PRON
ajst-30192	39	48	is	be	AUX
ajst-30192	39	49	suitable	suitable	ADJ
ajst-30192	39	50	for	for	ADP
ajst-30192	39	51	the	the	DET
ajst-30192	39	52	classification	classification	NOUN
ajst-30192	39	53	of	of	ADP
ajst-30192	39	54	surrounding	surround	VERB
ajst-30192	39	55	rock	rock	NOUN
ajst-30192	39	56	.	.	PUNCT
ajst-30192	40	1	the	the	DET
ajst-30192	40	2	thrust	thrust	NOUN
ajst-30192	40	3	is	be	AUX
ajst-30192	40	4	the	the	DET
ajst-30192	40	5	highest	high	ADJ
ajst-30192	40	6	in	in	ADP
ajst-30192	40	7	grade	grade	NOUN
ajst-30192	40	8	ii	ii	NOUN
ajst-30192	40	9	surrounding	surround	VERB
ajst-30192	40	10	rock	rock	NOUN
ajst-30192	40	11	,	,	PUNCT
ajst-30192	40	12	ranging	range	VERB
ajst-30192	40	13	from	from	ADP
ajst-30192	40	14	14000	14000	NUM
ajst-30192	40	15	to	to	ADP
ajst-30192	40	16	20000	20000	NUM
ajst-30192	40	17	kn	kn	PROPN
ajst-30192	40	18	,	,	PUNCT
ajst-30192	40	19	in	in	ADP
ajst-30192	40	20	grade	grade	NOUN
ajst-30192	40	21	iii	iii	NUM
ajst-30192	40	22	surrounding	surround	VERB
ajst-30192	40	23	rock	rock	NOUN
ajst-30192	40	24	,	,	PUNCT
ajst-30192	40	25	the	the	DET
ajst-30192	40	26	thrust	thrust	NOUN
ajst-30192	40	27	is	be	AUX
ajst-30192	40	28	10000	10000	NUM
ajst-30192	40	29	-	-	SYM
ajst-30192	40	30	16000	16000	NUM
ajst-30192	40	31	kn	kn	NOUN
ajst-30192	40	32	,	,	PUNCT
ajst-30192	40	33	in	in	ADP
ajst-30192	40	34	grade	grade	NOUN
ajst-30192	40	35	iv	iv	NUM
ajst-30192	40	36	surrounding	surround	VERB
ajst-30192	40	37	rock	rock	NOUN
ajst-30192	40	38	,	,	PUNCT
ajst-30192	40	39	the	the	DET
ajst-30192	40	40	thrust	thrust	NOUN
ajst-30192	40	41	is	be	AUX
ajst-30192	40	42	7000	7000	NUM
ajst-30192	40	43	-	-	SYM
ajst-30192	40	44	12000	12000	NUM
ajst-30192	40	45	kn	kn	NOUN
ajst-30192	40	46	,	,	PUNCT
ajst-30192	40	47	and	and	CCONJ
ajst-30192	40	48	the	the	DET
ajst-30192	40	49	thrust	thrust	NOUN
ajst-30192	40	50	is	be	AUX
ajst-30192	40	51	the	the	DET
ajst-30192	40	52	lowest	low	ADJ
ajst-30192	40	53	in	in	ADP
ajst-30192	40	54	grade	grade	NOUN
ajst-30192	40	55	v	v	NOUN
ajst-30192	40	56	surrounding	surround	VERB
ajst-30192	40	57	rock	rock	NOUN
ajst-30192	40	58	,	,	PUNCT
ajst-30192	40	59	ranging	range	VERB
ajst-30192	40	60	from	from	ADP
ajst-30192	40	61	2500	2500	NUM
ajst-30192	40	62	to	to	ADP
ajst-30192	40	63	8000	8000	NUM
ajst-30192	40	64	kn	kn	PROPN
ajst-30192	40	65	.	.	PUNCT
ajst-30192	41	1	the	the	DET
ajst-30192	41	2	torque	torque	NOUN
ajst-30192	41	3	is	be	AUX
ajst-30192	41	4	the	the	DET
ajst-30192	41	5	highest	high	ADJ
ajst-30192	41	6	in	in	ADP
ajst-30192	41	7	grade	grade	NOUN
ajst-30192	41	8	ii	ii	NOUN
ajst-30192	41	9	surrounding	surround	VERB
ajst-30192	41	10	rock	rock	NOUN
ajst-30192	41	11	,	,	PUNCT
ajst-30192	41	12	ranging	range	VERB
ajst-30192	41	13	from	from	ADP
ajst-30192	41	14	2500	2500	NUM
ajst-30192	41	15	-	-	PUNCT
ajst-30192	41	16	800kn	800kn	ADJ
ajst-30192	41	17	·	·	PUNCT
ajst-30192	42	1	m	m	X
ajst-30192	42	2	,	,	PUNCT
ajst-30192	42	3	the	the	DET
ajst-30192	42	4	torque	torque	NOUN
ajst-30192	42	5	is	be	AUX
ajst-30192	42	6	1500	1500	NUM
ajst-30192	42	7	-	-	PUNCT
ajst-30192	42	8	3000k	3000k	NUM
ajst-30192	42	9	·	·	PUNCT
ajst-30192	42	10	m	m	VERB
ajst-30192	42	11	in	in	ADP
ajst-30192	42	12	grade	grade	NOUN
ajst-30192	42	13	iii	iii	NUM
ajst-30192	42	14	surrounding	surround	VERB
ajst-30192	42	15	rock	rock	NOUN
ajst-30192	42	16	,	,	PUNCT
ajst-30192	42	17	the	the	DET
ajst-30192	42	18	thrust	thrust	NOUN
ajst-30192	42	19	is	be	AUX
ajst-30192	42	20	1000	1000	NUM
ajst-30192	42	21	-	-	PUNCT
ajst-30192	42	22	2400kn	2400kn	NOUN
ajst-30192	42	23	in	in	ADP
ajst-30192	42	24	grade	grade	NOUN
ajst-30192	42	25	iv	iv	NUM
ajst-30192	42	26	surrounding	surround	VERB
ajst-30192	42	27	rock	rock	NOUN
ajst-30192	42	28	,	,	PUNCT
ajst-30192	42	29	and	and	CCONJ
ajst-30192	42	30	the	the	DET
ajst-30192	42	31	torque	torque	NOUN
ajst-30192	42	32	is	be	AUX
ajst-30192	42	33	the	the	DET
ajst-30192	42	34	lowest	low	ADJ
ajst-30192	42	35	in	in	ADP
ajst-30192	42	36	grade	grade	NOUN
ajst-30192	42	37	v	v	NOUN
ajst-30192	42	38	surrounding	surround	VERB
ajst-30192	42	39	rock	rock	NOUN
ajst-30192	42	40	,	,	PUNCT
ajst-30192	42	41	ranging	range	VERB
ajst-30192	42	42	from	from	ADP
ajst-30192	42	43	600	600	NUM
ajst-30192	42	44	-	-	PUNCT
ajst-30192	42	45	1300kn	1300kn	NOUN
ajst-30192	42	46	.	.	PUNCT
ajst-30192	43	1	figure	figure	NOUN
ajst-30192	43	2	2	2	NUM
ajst-30192	43	3	.	.	PUNCT
ajst-30192	44	1	the	the	DET
ajst-30192	44	2	average	average	ADJ
ajst-30192	44	3	thrust	thrust	ADJ
ajst-30192	44	4	distribution	distribution	NOUN
ajst-30192	44	5	of	of	ADP
ajst-30192	44	6	tbm	tbm	ADJ
ajst-30192	44	7	figure	figure	NOUN
ajst-30192	44	8	3.tbm	3.tbm	NUM
ajst-30192	44	9	cutterhead	cutterhead	ADJ
ajst-30192	44	10	torque	torque	NOUN
ajst-30192	44	11	distribution	distribution	NOUN
ajst-30192	44	12	diagram	diagram	NOUN
ajst-30192	44	13	from	from	ADP
ajst-30192	44	14	the	the	DET
ajst-30192	44	15	distribution	distribution	NOUN
ajst-30192	44	16	of	of	ADP
ajst-30192	44	17	the	the	DET
ajst-30192	44	18	average	average	ADJ
ajst-30192	44	19	rotational	rotational	ADJ
ajst-30192	44	20	speed	speed	NOUN
ajst-30192	44	21	of	of	ADP
ajst-30192	44	22	tbm	tbm	NOUN
ajst-30192	44	23	under	under	ADP
ajst-30192	44	24	different	different	ADJ
ajst-30192	44	25	surrounding	surround	VERB
ajst-30192	44	26	rock	rock	NOUN
ajst-30192	44	27	grades	grade	NOUN
ajst-30192	44	28	in	in	ADP
ajst-30192	44	29	fig.4	fig.4	PROPN
ajst-30192	44	30	,	,	PUNCT
ajst-30192	44	31	it	it	PRON
ajst-30192	44	32	can	can	AUX
ajst-30192	44	33	be	be	AUX
ajst-30192	44	34	seen	see	VERB
ajst-30192	44	35	that	that	SCONJ
ajst-30192	44	36	the	the	DET
ajst-30192	44	37	rotational	rotational	ADJ
ajst-30192	44	38	speed	speed	NOUN
ajst-30192	44	39	is	be	AUX
ajst-30192	44	40	the	the	DET
ajst-30192	44	41	highest	high	ADJ
ajst-30192	44	42	in	in	ADP
ajst-30192	44	43	grade	grade	NOUN
ajst-30192	44	44	ii	ii	NOUN
ajst-30192	44	45	surrounding	surround	VERB
ajst-30192	44	46	rock	rock	NOUN
ajst-30192	44	47	,	,	PUNCT
ajst-30192	44	48	ranging	range	VERB
ajst-30192	44	49	from	from	ADP
ajst-30192	44	50	6	6	NUM
ajst-30192	44	51	to	to	PART
ajst-30192	44	52	7.5	7.5	NUM
ajst-30192	44	53	rpm	rpm	NOUN
ajst-30192	44	54	,	,	PUNCT
ajst-30192	44	55	and	and	CCONJ
ajst-30192	44	56	the	the	DET
ajst-30192	44	57	rotational	rotational	ADJ
ajst-30192	44	58	speed	speed	NOUN
ajst-30192	44	59	is	be	AUX
ajst-30192	44	60	the	the	DET
ajst-30192	44	61	lowest	low	ADJ
ajst-30192	44	62	in	in	ADP
ajst-30192	44	63	grade	grade	NOUN
ajst-30192	44	64	v	v	NOUN
ajst-30192	44	65	surrounding	surround	VERB
ajst-30192	44	66	rock	rock	NOUN
ajst-30192	44	67	,	,	PUNCT
ajst-30192	44	68	ranging	range	VERB
ajst-30192	44	69	from	from	ADP
ajst-30192	44	70	1	1	NUM
ajst-30192	44	71	to	to	PART
ajst-30192	44	72	5	5	NUM
ajst-30192	44	73	rpm	rpm	NOUN
ajst-30192	44	74	.	.	PUNCT
ajst-30192	45	1	this	this	DET
ajst-30192	45	2	parameter	parameter	NOUN
ajst-30192	45	3	is	be	AUX
ajst-30192	45	4	better	well	ADJ
ajst-30192	45	5	for	for	ADP
ajst-30192	45	6	the	the	DET
ajst-30192	45	7	distribution	distribution	NOUN
ajst-30192	45	8	of	of	ADP
ajst-30192	45	9	surrounding	surround	VERB
ajst-30192	45	10	rock	rock	NOUN
ajst-30192	45	11	areas	area	NOUN
ajst-30192	45	12	of	of	ADP
ajst-30192	45	13	grade	grade	PROPN
ajst-30192	45	14	ii	ii	PROPN
ajst-30192	45	15	,	,	PUNCT
ajst-30192	45	16	grade	grade	NOUN
ajst-30192	45	17	iii	iii	NOUN
ajst-30192	45	18	and	and	CCONJ
ajst-30192	45	19	grade	grade	NOUN
ajst-30192	45	20	v	v	NOUN
ajst-30192	45	21	,	,	PUNCT
ajst-30192	45	22	and	and	CCONJ
ajst-30192	45	23	the	the	DET
ajst-30192	45	24	discrimination	discrimination	NOUN
ajst-30192	45	25	of	of	ADP
ajst-30192	45	26	surrounding	surround	VERB
ajst-30192	45	27	rock	rock	NOUN
ajst-30192	45	28	areas	area	NOUN
ajst-30192	45	29	of	of	ADP
ajst-30192	45	30	grade	grade	NOUN
ajst-30192	45	31	iii	iii	NOUN
ajst-30192	45	32	and	and	CCONJ
ajst-30192	45	33	grade	grade	NOUN
ajst-30192	45	34	iv	iv	NUM
ajst-30192	45	35	is	be	AUX
ajst-30192	45	36	slightly	slightly	ADV
ajst-30192	45	37	worse	bad	ADJ
ajst-30192	45	38	.	.	PUNCT
ajst-30192	46	1	on	on	ADP
ajst-30192	46	2	the	the	DET
ajst-30192	46	3	whole	whole	NOUN
ajst-30192	46	4	,	,	PUNCT
ajst-30192	46	5	these	these	DET
ajst-30192	46	6	three	three	NUM
ajst-30192	46	7	indicators	indicator	NOUN
ajst-30192	46	8	can	can	AUX
ajst-30192	46	9	be	be	AUX
ajst-30192	46	10	used	use	VERB
ajst-30192	46	11	as	as	ADP
ajst-30192	46	12	the	the	DET
ajst-30192	46	13	basis	basis	NOUN
ajst-30192	46	14	for	for	ADP
ajst-30192	46	15	judging	judge	VERB
ajst-30192	46	16	the	the	DET
ajst-30192	46	17	grade	grade	NOUN
ajst-30192	46	18	of	of	ADP
ajst-30192	46	19	surrounding	surround	VERB
ajst-30192	46	20	rock	rock	NOUN
ajst-30192	46	21	in	in	ADP
ajst-30192	46	22	the	the	DET
ajst-30192	46	23	prediction	prediction	NOUN
ajst-30192	46	24	model	model	NOUN
ajst-30192	46	25	.	.	PUNCT
ajst-30192	47	1	the	the	DET
ajst-30192	47	2	cutterhead	cutterhead	PROPN
ajst-30192	47	3	power	power	NOUN
ajst-30192	47	4	refers	refer	VERB
ajst-30192	47	5	to	to	ADP
ajst-30192	47	6	the	the	DET
ajst-30192	47	7	power	power	NOUN
ajst-30192	47	8	required	require	VERB
ajst-30192	47	9	to	to	PART
ajst-30192	47	10	drive	drive	VERB
ajst-30192	47	11	the	the	DET
ajst-30192	47	12	tbm	tbm	ADJ
ajst-30192	47	13	cutterhead	cutterhead	NOUN
ajst-30192	47	14	to	to	PART
ajst-30192	47	15	rotate	rotate	VERB
ajst-30192	47	16	.	.	PUNCT
ajst-30192	48	1	the	the	DET
ajst-30192	48	2	cutterhead	cutterhead	ADJ
ajst-30192	48	3	power	power	NOUN
ajst-30192	48	4	depends	depend	VERB
ajst-30192	48	5	on	on	ADP
ajst-30192	48	6	the	the	DET
ajst-30192	48	7	cutterhead	cutterhead	PROPN
ajst-30192	48	8	diameter	diameter	NOUN
ajst-30192	48	9	,	,	PUNCT
ajst-30192	48	10	geological	geological	ADJ
ajst-30192	48	11	conditions	condition	NOUN
ajst-30192	48	12	,	,	PUNCT
ajst-30192	48	13	tunneling	tunnel	VERB
ajst-30192	48	14	speed	speed	NOUN
ajst-30192	48	15	,	,	PUNCT
ajst-30192	48	16	torque	torque	NOUN
ajst-30192	48	17	and	and	CCONJ
ajst-30192	48	18	other	other	ADJ
ajst-30192	48	19	factors	factor	NOUN
ajst-30192	48	20	.	.	PUNCT
ajst-30192	49	1	figure	figure	VERB
ajst-30192	49	2	4.tbm	4.tbm	ADJ
ajst-30192	49	3	cutterhead	cutterhead	NOUN
ajst-30192	49	4	speed	speed	NOUN
ajst-30192	49	5	distribution	distribution	NOUN
ajst-30192	49	6	map	map	NOUN
ajst-30192	49	7	as	as	SCONJ
ajst-30192	49	8	shown	show	VERB
ajst-30192	49	9	in	in	ADP
ajst-30192	49	10	figure	figure	NOUN
ajst-30192	49	11	5	5	NUM
ajst-30192	49	12	,	,	PUNCT
ajst-30192	49	13	the	the	DET
ajst-30192	49	14	cutterhead	cutterhead	ADJ
ajst-30192	49	15	power	power	NOUN
ajst-30192	49	16	is	be	AUX
ajst-30192	49	17	the	the	DET
ajst-30192	49	18	highest	high	ADJ
ajst-30192	49	19	in	in	ADP
ajst-30192	49	20	grade	grade	NOUN
ajst-30192	49	21	ii	ii	NOUN
ajst-30192	49	22	surrounding	surround	VERB
ajst-30192	49	23	rock	rock	NOUN
ajst-30192	49	24	,	,	PUNCT
ajst-30192	49	25	ranging	range	VERB
ajst-30192	49	26	from	from	ADP
ajst-30192	49	27	1200	1200	NUM
ajst-30192	49	28	kw	kw	NOUN
ajst-30192	49	29	to	to	ADP
ajst-30192	49	30	1900	1900	NUM
ajst-30192	49	31	kw	kw	NOUN
ajst-30192	49	32	,	,	PUNCT
ajst-30192	49	33	and	and	CCONJ
ajst-30192	49	34	the	the	DET
ajst-30192	49	35	cutterhead	cutterhead	ADJ
ajst-30192	49	36	power	power	NOUN
ajst-30192	49	37	is	be	AUX
ajst-30192	49	38	the	the	DET
ajst-30192	49	39	lowest	low	ADJ
ajst-30192	49	40	in	in	ADP
ajst-30192	49	41	grade	grade	NOUN
ajst-30192	49	42	v	v	NOUN
ajst-30192	49	43	surrounding	surround	VERB
ajst-30192	49	44	rock	rock	NOUN
ajst-30192	49	45	,	,	PUNCT
ajst-30192	49	46	ranging	range	VERB
ajst-30192	49	47	from	from	ADP
ajst-30192	49	48	100	100	NUM
ajst-30192	49	49	kw	kw	NOUN
ajst-30192	49	50	to	to	ADP
ajst-30192	49	51	1600	1600	NUM
ajst-30192	49	52	kw	kw	NOUN
ajst-30192	49	53	.	.	PUNCT
ajst-30192	50	1	however	however	ADV
ajst-30192	50	2	,	,	PUNCT
ajst-30192	50	3	the	the	DET
ajst-30192	50	4	cutterhead	cutterhead	ADJ
ajst-30192	50	5	power	power	NOUN
ajst-30192	50	6	parameters	parameter	NOUN
ajst-30192	50	7	have	have	VERB
ajst-30192	50	8	a	a	DET
ajst-30192	50	9	high	high	ADJ
ajst-30192	50	10	coincidence	coincidence	NOUN
ajst-30192	50	11	degree	degree	NOUN
ajst-30192	50	12	in	in	ADP
ajst-30192	50	13	the	the	DET
ajst-30192	50	14	four	four	NUM
ajst-30192	50	15	types	type	NOUN
ajst-30192	50	16	of	of	ADP
ajst-30192	50	17	surrounding	surround	VERB
ajst-30192	50	18	rock	rock	NOUN
ajst-30192	50	19	,	,	PUNCT
ajst-30192	50	20	which	which	PRON
ajst-30192	50	21	can	can	AUX
ajst-30192	50	22	not	not	PART
ajst-30192	50	23	distinguish	distinguish	VERB
ajst-30192	50	24	the	the	DET
ajst-30192	50	25	surrounding	surround	VERB
ajst-30192	50	26	rock	rock	NOUN
ajst-30192	50	27	grade	grade	NOUN
ajst-30192	50	28	well	well	ADV
ajst-30192	50	29	.	.	PUNCT
ajst-30192	51	1	157	157	NUM
ajst-30192	51	2	figure	figure	NOUN
ajst-30192	51	3	5	5	NUM
ajst-30192	51	4	.	.	PUNCT
ajst-30192	52	1	tbm	tbm	PROPN
ajst-30192	52	2	cutterhead	cutterhead	ADJ
ajst-30192	52	3	power	power	NOUN
ajst-30192	52	4	distribution	distribution	NOUN
ajst-30192	52	5	2.3	2.3	NUM
ajst-30192	52	6	.	.	PUNCT
ajst-30192	53	1	distribution	distribution	NOUN
ajst-30192	53	2	of	of	ADP
ajst-30192	53	3	tunneling	tunnel	VERB
ajst-30192	53	4	performance	performance	NOUN
ajst-30192	53	5	parameters	parameter	NOUN
ajst-30192	53	6	as	as	SCONJ
ajst-30192	53	7	shown	show	VERB
ajst-30192	53	8	in	in	ADP
ajst-30192	53	9	figure	figure	NOUN
ajst-30192	53	10	6	6	NUM
ajst-30192	53	11	,	,	PUNCT
ajst-30192	53	12	observing	observe	VERB
ajst-30192	53	13	the	the	DET
ajst-30192	53	14	distribution	distribution	NOUN
ajst-30192	53	15	of	of	ADP
ajst-30192	53	16	advancing	advance	VERB
ajst-30192	53	17	speed	speed	NOUN
ajst-30192	53	18	,	,	PUNCT
ajst-30192	53	19	we	we	PRON
ajst-30192	53	20	can	can	AUX
ajst-30192	53	21	find	find	VERB
ajst-30192	53	22	that	that	SCONJ
ajst-30192	53	23	the	the	DET
ajst-30192	53	24	net	net	ADJ
ajst-30192	53	25	tunneling	tunneling	NOUN
ajst-30192	53	26	speed	speed	NOUN
ajst-30192	53	27	is	be	AUX
ajst-30192	53	28	the	the	DET
ajst-30192	53	29	lowest	low	ADJ
ajst-30192	53	30	in	in	ADP
ajst-30192	53	31	grade	grade	NOUN
ajst-30192	53	32	v	v	NOUN
ajst-30192	53	33	surrounding	surround	VERB
ajst-30192	53	34	rock	rock	NOUN
ajst-30192	53	35	,	,	PUNCT
ajst-30192	53	36	ranging	range	VERB
ajst-30192	53	37	from	from	ADP
ajst-30192	53	38	18	18	NUM
ajst-30192	53	39	to	to	PART
ajst-30192	53	40	42	42	NUM
ajst-30192	53	41	mm	mm	PROPN
ajst-30192	53	42	/	/	SYM
ajst-30192	53	43	min	min	PROPN
ajst-30192	53	44	,	,	PUNCT
ajst-30192	53	45	and	and	CCONJ
ajst-30192	53	46	the	the	DET
ajst-30192	53	47	net	net	ADJ
ajst-30192	53	48	tunneling	tunneling	NOUN
ajst-30192	53	49	speed	speed	NOUN
ajst-30192	53	50	is	be	AUX
ajst-30192	53	51	the	the	DET
ajst-30192	53	52	highest	high	ADJ
ajst-30192	53	53	in	in	ADP
ajst-30192	53	54	grade	grade	NOUN
ajst-30192	53	55	iii	iii	NUM
ajst-30192	53	56	surrounding	surround	VERB
ajst-30192	53	57	rock	rock	NOUN
ajst-30192	53	58	,	,	PUNCT
ajst-30192	53	59	ranging	range	VERB
ajst-30192	53	60	from	from	ADP
ajst-30192	53	61	45	45	NUM
ajst-30192	53	62	to	to	PART
ajst-30192	53	63	82	82	NUM
ajst-30192	53	64	mm	mm	PROPN
ajst-30192	53	65	/	/	SYM
ajst-30192	53	66	min	min	PROPN
ajst-30192	53	67	.	.	PROPN
ajst-30192	53	68	from	from	ADP
ajst-30192	53	69	the	the	DET
ajst-30192	53	70	box	box	PROPN
ajst-30192	53	71	diagram	diagram	NOUN
ajst-30192	53	72	,	,	PUNCT
ajst-30192	53	73	it	it	PRON
ajst-30192	53	74	can	can	AUX
ajst-30192	53	75	be	be	AUX
ajst-30192	53	76	seen	see	VERB
ajst-30192	53	77	that	that	SCONJ
ajst-30192	53	78	the	the	DET
ajst-30192	53	79	net	net	ADJ
ajst-30192	53	80	speed	speed	NOUN
ajst-30192	53	81	parameters	parameter	NOUN
ajst-30192	53	82	can	can	AUX
ajst-30192	53	83	be	be	AUX
ajst-30192	53	84	well	well	ADV
ajst-30192	53	85	distinguished	distinguished	ADJ
ajst-30192	53	86	for	for	ADP
ajst-30192	53	87	the	the	DET
ajst-30192	53	88	latter	latter	ADJ
ajst-30192	53	89	three	three	NUM
ajst-30192	53	90	levels	level	NOUN
ajst-30192	53	91	of	of	ADP
ajst-30192	53	92	surrounding	surround	VERB
ajst-30192	53	93	rock	rock	NOUN
ajst-30192	53	94	,	,	PUNCT
ajst-30192	53	95	and	and	CCONJ
ajst-30192	53	96	there	there	PRON
ajst-30192	53	97	are	be	VERB
ajst-30192	53	98	only	only	ADV
ajst-30192	53	99	more	more	ADJ
ajst-30192	53	100	overlaps	overlap	NOUN
ajst-30192	53	101	in	in	ADP
ajst-30192	53	102	the	the	DET
ajst-30192	53	103	ii	ii	NOUN
ajst-30192	53	104	and	and	CCONJ
ajst-30192	53	105	iv	iv	NUM
ajst-30192	53	106	levels	level	NOUN
ajst-30192	53	107	of	of	ADP
ajst-30192	53	108	surrounding	surround	VERB
ajst-30192	53	109	rock	rock	NOUN
ajst-30192	53	110	.	.	PUNCT
ajst-30192	54	1	figure	figure	NOUN
ajst-30192	54	2	6	6	NUM
ajst-30192	54	3	.	.	PUNCT
ajst-30192	55	1	the	the	DET
ajst-30192	55	2	distribution	distribution	NOUN
ajst-30192	55	3	map	map	NOUN
ajst-30192	55	4	of	of	ADP
ajst-30192	55	5	tbm	tbm	NOUN
ajst-30192	55	6	propulsion	propulsion	NOUN
ajst-30192	55	7	speed	speed	NOUN
ajst-30192	55	8	penetration	penetration	NOUN
ajst-30192	55	9	represents	represent	VERB
ajst-30192	55	10	the	the	DET
ajst-30192	55	11	depth	depth	NOUN
ajst-30192	55	12	that	that	PRON
ajst-30192	55	13	tbm	tbm	NOUN
ajst-30192	55	14	cutter	cutter	NOUN
ajst-30192	55	15	can	can	AUX
ajst-30192	55	16	cut	cut	VERB
ajst-30192	55	17	into	into	ADP
ajst-30192	55	18	the	the	DET
ajst-30192	55	19	tunnel	tunnel	NOUN
ajst-30192	55	20	face	face	NOUN
ajst-30192	55	21	by	by	ADP
ajst-30192	55	22	rotating	rotate	VERB
ajst-30192	55	23	a	a	DET
ajst-30192	55	24	circle	circle	NOUN
ajst-30192	55	25	.	.	PUNCT
ajst-30192	56	1	in	in	ADP
ajst-30192	56	2	general	general	ADJ
ajst-30192	56	3	,	,	PUNCT
ajst-30192	56	4	the	the	DET
ajst-30192	56	5	penetration	penetration	NOUN
ajst-30192	56	6	of	of	ADP
ajst-30192	56	7	high	high	ADJ
ajst-30192	56	8	-	-	PUNCT
ajst-30192	56	9	grade	grade	NOUN
ajst-30192	56	10	surrounding	surround	VERB
ajst-30192	56	11	rock	rock	NOUN
ajst-30192	56	12	is	be	AUX
ajst-30192	56	13	small	small	ADJ
ajst-30192	56	14	,	,	PUNCT
ajst-30192	56	15	and	and	CCONJ
ajst-30192	56	16	the	the	DET
ajst-30192	56	17	penetration	penetration	NOUN
ajst-30192	56	18	of	of	ADP
ajst-30192	56	19	low	low	ADJ
ajst-30192	56	20	-	-	PUNCT
ajst-30192	56	21	grade	grade	NOUN
ajst-30192	56	22	surrounding	surround	VERB
ajst-30192	56	23	rock	rock	NOUN
ajst-30192	56	24	is	be	AUX
ajst-30192	56	25	large	large	ADJ
ajst-30192	56	26	.	.	PUNCT
ajst-30192	57	1	the	the	DET
ajst-30192	57	2	penetration	penetration	NOUN
ajst-30192	57	3	distribution	distribution	NOUN
ajst-30192	57	4	under	under	ADP
ajst-30192	57	5	different	different	ADJ
ajst-30192	57	6	surrounding	surround	VERB
ajst-30192	57	7	rocks	rock	NOUN
ajst-30192	57	8	is	be	AUX
ajst-30192	57	9	shown	show	VERB
ajst-30192	57	10	in	in	ADP
ajst-30192	57	11	fig.7.the	fig.7.the	DET
ajst-30192	57	12	average	average	ADJ
ajst-30192	57	13	penetration	penetration	NOUN
ajst-30192	57	14	of	of	ADP
ajst-30192	57	15	surrounding	surround	VERB
ajst-30192	57	16	rock	rock	NOUN
ajst-30192	57	17	ii	ii	PROPN
ajst-30192	57	18	is	be	AUX
ajst-30192	57	19	significantly	significantly	ADV
ajst-30192	57	20	lower	low	ADJ
ajst-30192	57	21	than	than	ADP
ajst-30192	57	22	that	that	PRON
ajst-30192	57	23	of	of	ADP
ajst-30192	57	24	surrounding	surround	VERB
ajst-30192	57	25	rock	rock	NOUN
ajst-30192	57	26	iii	iii	PROPN
ajst-30192	57	27	and	and	CCONJ
ajst-30192	57	28	iv	iv	NUM
ajst-30192	57	29	,	,	PUNCT
ajst-30192	57	30	because	because	SCONJ
ajst-30192	57	31	the	the	DET
ajst-30192	57	32	strength	strength	NOUN
ajst-30192	57	33	of	of	ADP
ajst-30192	57	34	surrounding	surround	VERB
ajst-30192	57	35	rock	rock	NOUN
ajst-30192	57	36	ii	ii	PROPN
ajst-30192	57	37	is	be	AUX
ajst-30192	57	38	too	too	ADV
ajst-30192	57	39	high	high	ADJ
ajst-30192	57	40	,	,	PUNCT
ajst-30192	57	41	the	the	DET
ajst-30192	57	42	site	site	NOUN
ajst-30192	57	43	can	can	AUX
ajst-30192	57	44	only	only	ADV
ajst-30192	57	45	take	take	VERB
ajst-30192	57	46	low	low	ADJ
ajst-30192	57	47	penetration	penetration	NOUN
ajst-30192	57	48	,	,	PUNCT
ajst-30192	57	49	high	high	ADJ
ajst-30192	57	50	speed	speed	NOUN
ajst-30192	57	51	excavation	excavation	NOUN
ajst-30192	57	52	method	method	NOUN
ajst-30192	57	53	caused	cause	VERB
ajst-30192	57	54	.	.	PUNCT
ajst-30192	58	1	due	due	ADP
ajst-30192	58	2	to	to	ADP
ajst-30192	58	3	the	the	DET
ajst-30192	58	4	weak	weak	ADJ
ajst-30192	58	5	rock	rock	NOUN
ajst-30192	58	6	quality	quality	NOUN
ajst-30192	58	7	,	,	PUNCT
ajst-30192	58	8	the	the	DET
ajst-30192	58	9	penetration	penetration	NOUN
ajst-30192	58	10	degree	degree	NOUN
ajst-30192	58	11	of	of	ADP
ajst-30192	58	12	grade	grade	NOUN
ajst-30192	58	13	v	v	NOUN
ajst-30192	58	14	surrounding	surround	VERB
ajst-30192	58	15	rock	rock	NOUN
ajst-30192	58	16	can	can	AUX
ajst-30192	58	17	be	be	AUX
ajst-30192	58	18	slightly	slightly	ADV
ajst-30192	58	19	larger	large	ADJ
ajst-30192	58	20	during	during	ADP
ajst-30192	58	21	normal	normal	ADJ
ajst-30192	58	22	excavation	excavation	NOUN
ajst-30192	58	23	.	.	PUNCT
ajst-30192	59	1	if	if	SCONJ
ajst-30192	59	2	the	the	DET
ajst-30192	59	3	penetration	penetration	NOUN
ajst-30192	59	4	degree	degree	NOUN
ajst-30192	59	5	is	be	AUX
ajst-30192	59	6	too	too	ADV
ajst-30192	59	7	large	large	ADJ
ajst-30192	59	8	,	,	PUNCT
ajst-30192	59	9	it	it	PRON
ajst-30192	59	10	is	be	AUX
ajst-30192	59	11	easy	easy	ADJ
ajst-30192	59	12	to	to	PART
ajst-30192	59	13	cause	cause	VERB
ajst-30192	59	14	collapse	collapse	NOUN
ajst-30192	59	15	accidents	accident	NOUN
ajst-30192	59	16	,	,	PUNCT
ajst-30192	59	17	so	so	CCONJ
ajst-30192	59	18	the	the	DET
ajst-30192	59	19	penetration	penetration	NOUN
ajst-30192	59	20	degree	degree	NOUN
ajst-30192	59	21	of	of	ADP
ajst-30192	59	22	grade	grade	NOUN
ajst-30192	59	23	v	v	NOUN
ajst-30192	59	24	surrounding	surround	VERB
ajst-30192	59	25	rock	rock	NOUN
ajst-30192	59	26	has	have	VERB
ajst-30192	59	27	the	the	DET
ajst-30192	59	28	largest	large	ADJ
ajst-30192	59	29	range	range	NOUN
ajst-30192	59	30	of	of	ADP
ajst-30192	59	31	variation	variation	NOUN
ajst-30192	59	32	.	.	PUNCT
ajst-30192	60	1	the	the	DET
ajst-30192	60	2	surrounding	surround	VERB
ajst-30192	60	3	rock	rock	NOUN
ajst-30192	60	4	of	of	ADP
ajst-30192	60	5	grade	grade	PROPN
ajst-30192	60	6	iii	iii	PROPN
ajst-30192	60	7	and	and	CCONJ
ajst-30192	60	8	iv	iv	NUM
ajst-30192	60	9	is	be	AUX
ajst-30192	60	10	hard	hard	ADJ
ajst-30192	60	11	,	,	PUNCT
ajst-30192	60	12	the	the	DET
ajst-30192	60	13	stability	stability	NOUN
ajst-30192	60	14	of	of	ADP
ajst-30192	60	15	surrounding	surround	VERB
ajst-30192	60	16	rock	rock	NOUN
ajst-30192	60	17	is	be	AUX
ajst-30192	60	18	good	good	ADJ
ajst-30192	60	19	,	,	PUNCT
ajst-30192	60	20	and	and	CCONJ
ajst-30192	60	21	it	it	PRON
ajst-30192	60	22	can	can	AUX
ajst-30192	60	23	withstand	withstand	VERB
ajst-30192	60	24	large	large	ADJ
ajst-30192	60	25	engineering	engineering	NOUN
ajst-30192	60	26	disturbance	disturbance	NOUN
ajst-30192	60	27	,	,	PUNCT
ajst-30192	60	28	so	so	ADV
ajst-30192	60	29	the	the	DET
ajst-30192	60	30	penetration	penetration	NOUN
ajst-30192	60	31	is	be	AUX
ajst-30192	60	32	the	the	DET
ajst-30192	60	33	highest	high	ADJ
ajst-30192	60	34	.	.	PUNCT
ajst-30192	61	1	from	from	ADP
ajst-30192	61	2	the	the	DET
ajst-30192	61	3	box	box	PROPN
ajst-30192	61	4	line	line	NOUN
ajst-30192	61	5	diagram	diagram	PROPN
ajst-30192	61	6	,	,	PUNCT
ajst-30192	61	7	it	it	PRON
ajst-30192	61	8	can	can	AUX
ajst-30192	61	9	be	be	AUX
ajst-30192	61	10	seen	see	VERB
ajst-30192	61	11	that	that	SCONJ
ajst-30192	61	12	the	the	DET
ajst-30192	61	13	penetration	penetration	NOUN
ajst-30192	61	14	degree	degree	NOUN
ajst-30192	61	15	has	have	VERB
ajst-30192	61	16	a	a	DET
ajst-30192	61	17	high	high	ADJ
ajst-30192	61	18	coincidence	coincidence	NOUN
ajst-30192	61	19	degree	degree	NOUN
ajst-30192	61	20	in	in	ADP
ajst-30192	61	21	the	the	DET
ajst-30192	61	22	distribution	distribution	NOUN
ajst-30192	61	23	of	of	ADP
ajst-30192	61	24	grade	grade	PROPN
ajst-30192	61	25	iii	iii	NOUN
ajst-30192	61	26	,	,	PUNCT
ajst-30192	61	27	grade	grade	NOUN
ajst-30192	61	28	iv	iv	NOUN
ajst-30192	61	29	and	and	CCONJ
ajst-30192	61	30	grade	grade	NOUN
ajst-30192	61	31	v	v	ADJ
ajst-30192	61	32	surrounding	surround	VERB
ajst-30192	61	33	rock	rock	NOUN
ajst-30192	61	34	,	,	PUNCT
ajst-30192	61	35	and	and	CCONJ
ajst-30192	61	36	it	it	PRON
ajst-30192	61	37	is	be	AUX
ajst-30192	61	38	difficult	difficult	ADJ
ajst-30192	61	39	to	to	PART
ajst-30192	61	40	effectively	effectively	ADV
ajst-30192	61	41	distinguish	distinguish	VERB
ajst-30192	61	42	the	the	DET
ajst-30192	61	43	grade	grade	NOUN
ajst-30192	61	44	of	of	ADP
ajst-30192	61	45	surrounding	surround	VERB
ajst-30192	61	46	rock	rock	NOUN
ajst-30192	61	47	.	.	PUNCT
ajst-30192	62	1	figure	figure	NOUN
ajst-30192	62	2	7	7	NUM
ajst-30192	62	3	.	.	PUNCT
ajst-30192	63	1	the	the	DET
ajst-30192	63	2	distribution	distribution	NOUN
ajst-30192	63	3	map	map	NOUN
ajst-30192	63	4	of	of	ADP
ajst-30192	63	5	tbm	tbm	NOUN
ajst-30192	63	6	propulsion	propulsion	NOUN
ajst-30192	63	7	speed	speed	NOUN
ajst-30192	63	8	in	in	ADP
ajst-30192	63	9	summary	summary	NOUN
ajst-30192	63	10	,	,	PUNCT
ajst-30192	63	11	we	we	PRON
ajst-30192	63	12	find	find	VERB
ajst-30192	63	13	that	that	SCONJ
ajst-30192	63	14	the	the	DET
ajst-30192	63	15	average	average	ADJ
ajst-30192	63	16	thrust	thrust	NOUN
ajst-30192	63	17	,	,	PUNCT
ajst-30192	63	18	average	average	ADJ
ajst-30192	63	19	speed	speed	NOUN
ajst-30192	63	20	and	and	CCONJ
ajst-30192	63	21	average	average	ADJ
ajst-30192	63	22	torque	torque	NOUN
ajst-30192	63	23	of	of	ADP
ajst-30192	63	24	the	the	DET
ajst-30192	63	25	machine	machine	NOUN
ajst-30192	63	26	parameters	parameter	NOUN
ajst-30192	63	27	do	do	AUX
ajst-30192	63	28	not	not	PART
ajst-30192	63	29	coincide	coincide	VERB
ajst-30192	63	30	with	with	ADP
ajst-30192	63	31	the	the	DET
ajst-30192	63	32	distribution	distribution	NOUN
ajst-30192	63	33	boundary	boundary	NOUN
ajst-30192	63	34	under	under	ADP
ajst-30192	63	35	different	different	ADJ
ajst-30192	63	36	surrounding	surround	VERB
ajst-30192	63	37	rocks	rock	NOUN
ajst-30192	63	38	,	,	PUNCT
ajst-30192	63	39	which	which	PRON
ajst-30192	63	40	can	can	AUX
ajst-30192	63	41	be	be	AUX
ajst-30192	63	42	used	use	VERB
ajst-30192	63	43	as	as	ADP
ajst-30192	63	44	the	the	DET
ajst-30192	63	45	basis	basis	NOUN
ajst-30192	63	46	for	for	ADP
ajst-30192	63	47	judging	judge	VERB
ajst-30192	63	48	the	the	DET
ajst-30192	63	49	grade	grade	NOUN
ajst-30192	63	50	of	of	ADP
ajst-30192	63	51	surrounding	surround	VERB
ajst-30192	63	52	rock	rock	NOUN
ajst-30192	63	53	.	.	PUNCT
ajst-30192	64	1	for	for	ADP
ajst-30192	64	2	the	the	DET
ajst-30192	64	3	average	average	ADJ
ajst-30192	64	4	propulsion	propulsion	NOUN
ajst-30192	64	5	speed	speed	NOUN
ajst-30192	64	6	,	,	PUNCT
ajst-30192	64	7	it	it	PRON
ajst-30192	64	8	can	can	AUX
ajst-30192	64	9	effectively	effectively	ADV
ajst-30192	64	10	distinguish	distinguish	VERB
ajst-30192	64	11	grade	grade	NOUN
ajst-30192	64	12	iii	iii	NOUN
ajst-30192	64	13	,	,	PUNCT
ajst-30192	64	14	grade	grade	NOUN
ajst-30192	64	15	iv	iv	NOUN
ajst-30192	64	16	and	and	CCONJ
ajst-30192	64	17	grade	grade	NOUN
ajst-30192	64	18	v	v	ADJ
ajst-30192	64	19	surrounding	surround	VERB
ajst-30192	64	20	rock	rock	NOUN
ajst-30192	64	21	.	.	PUNCT
ajst-30192	65	1	for	for	ADP
ajst-30192	65	2	the	the	DET
ajst-30192	65	3	average	average	ADJ
ajst-30192	65	4	penetration	penetration	NOUN
ajst-30192	65	5	and	and	CCONJ
ajst-30192	65	6	average	average	ADJ
ajst-30192	65	7	cutterhead	cutterhead	NOUN
ajst-30192	65	8	power	power	NOUN
ajst-30192	65	9	,	,	PUNCT
ajst-30192	65	10	they	they	PRON
ajst-30192	65	11	have	have	VERB
ajst-30192	65	12	a	a	DET
ajst-30192	65	13	high	high	ADJ
ajst-30192	65	14	degree	degree	NOUN
ajst-30192	65	15	of	of	ADP
ajst-30192	65	16	coincidence	coincidence	NOUN
ajst-30192	65	17	in	in	ADP
ajst-30192	65	18	the	the	DET
ajst-30192	65	19	four	four	NUM
ajst-30192	65	20	types	type	NOUN
ajst-30192	65	21	of	of	ADP
ajst-30192	65	22	surrounding	surround	VERB
ajst-30192	65	23	rock	rock	NOUN
ajst-30192	65	24	,	,	PUNCT
ajst-30192	65	25	and	and	CCONJ
ajst-30192	65	26	can	can	AUX
ajst-30192	65	27	not	not	PART
ajst-30192	65	28	provide	provide	VERB
ajst-30192	65	29	effective	effective	ADJ
ajst-30192	65	30	information	information	NOUN
ajst-30192	65	31	to	to	PART
ajst-30192	65	32	distinguish	distinguish	VERB
ajst-30192	65	33	the	the	DET
ajst-30192	65	34	grade	grade	NOUN
ajst-30192	65	35	of	of	ADP
ajst-30192	65	36	surrounding	surround	VERB
ajst-30192	65	37	rock	rock	NOUN
ajst-30192	65	38	.	.	PUNCT
ajst-30192	66	1	moreover	moreover	ADV
ajst-30192	66	2	,	,	PUNCT
ajst-30192	66	3	due	due	ADP
ajst-30192	66	4	to	to	ADP
ajst-30192	66	5	the	the	DET
ajst-30192	66	6	interference	interference	NOUN
ajst-30192	66	7	of	of	ADP
ajst-30192	66	8	human	human	ADJ
ajst-30192	66	9	factors	factor	NOUN
ajst-30192	66	10	,	,	PUNCT
ajst-30192	66	11	they	they	PRON
ajst-30192	66	12	can	can	AUX
ajst-30192	66	13	not	not	PART
ajst-30192	66	14	directly	directly	ADV
ajst-30192	66	15	reflect	reflect	VERB
ajst-30192	66	16	the	the	DET
ajst-30192	66	17	rock	rock	NOUN
ajst-30192	66	18	mechanism	mechanism	NOUN
ajst-30192	66	19	system	system	NOUN
ajst-30192	66	20	,	,	PUNCT
ajst-30192	66	21	so	so	SCONJ
ajst-30192	66	22	they	they	PRON
ajst-30192	66	23	are	be	AUX
ajst-30192	66	24	not	not	PART
ajst-30192	66	25	suitable	suitable	ADJ
ajst-30192	66	26	as	as	ADP
ajst-30192	66	27	the	the	DET
ajst-30192	66	28	basis	basis	NOUN
ajst-30192	66	29	for	for	ADP
ajst-30192	66	30	judging	judge	VERB
ajst-30192	66	31	the	the	DET
ajst-30192	66	32	grade	grade	NOUN
ajst-30192	66	33	of	of	ADP
ajst-30192	66	34	surrounding	surround	VERB
ajst-30192	66	35	rock	rock	NOUN
ajst-30192	66	36	.	.	PUNCT
ajst-30192	67	1	3	3	X
ajst-30192	67	2	.	.	X
ajst-30192	67	3	prediction	prediction	NOUN
ajst-30192	67	4	method	method	NOUN
ajst-30192	67	5	of	of	ADP
ajst-30192	67	6	surrounding	surround	VERB
ajst-30192	67	7	rock	rock	NOUN
ajst-30192	67	8	grade	grade	NOUN
ajst-30192	67	9	3.1	3.1	NUM
ajst-30192	67	10	.	.	PUNCT
ajst-30192	68	1	introduction	introduction	NOUN
ajst-30192	68	2	of	of	ADP
ajst-30192	68	3	xgboost	xgboost	ADJ
ajst-30192	68	4	algorithm	algorithm	PROPN
ajst-30192	68	5	xgboost	xgboost	ADV
ajst-30192	68	6	is	be	AUX
ajst-30192	68	7	a	a	DET
ajst-30192	68	8	high	high	ADJ
ajst-30192	68	9	-	-	PUNCT
ajst-30192	68	10	performance	performance	NOUN
ajst-30192	68	11	machine	machine	NOUN
ajst-30192	68	12	learning	learn	VERB
ajst-30192	68	13	algorithm	algorithm	NOUN
ajst-30192	68	14	based	base	VERB
ajst-30192	68	15	on	on	ADP
ajst-30192	68	16	gradient	gradient	ADJ
ajst-30192	68	17	boosting	boost	VERB
ajst-30192	68	18	framework	framework	NOUN
ajst-30192	68	19	.	.	PUNCT
ajst-30192	69	1	compared	compare	VERB
ajst-30192	69	2	with	with	ADP
ajst-30192	69	3	the	the	DET
ajst-30192	69	4	traditional	traditional	ADJ
ajst-30192	69	5	gbdt	gbdt	NOUN
ajst-30192	69	6	algorithm	algorithm	NOUN
ajst-30192	69	7	,	,	PUNCT
ajst-30192	69	8	xgboost	xgboost	PRON
ajst-30192	69	9	optimizes	optimize	VERB
ajst-30192	69	10	the	the	DET
ajst-30192	69	11	objective	objective	ADJ
ajst-30192	69	12	function	function	NOUN
ajst-30192	69	13	value	value	NOUN
ajst-30192	69	14	by	by	ADP
ajst-30192	69	15	adding	add	VERB
ajst-30192	69	16	regularization	regularization	NOUN
ajst-30192	69	17	term	term	NOUN
ajst-30192	69	18	and	and	CCONJ
ajst-30192	69	19	introducing	introduce	VERB
ajst-30192	69	20	approximate	approximate	ADJ
ajst-30192	69	21	greedy	greedy	ADJ
ajst-30192	69	22	algorithm	algorithm	NOUN
ajst-30192	69	23	,	,	PUNCT
ajst-30192	69	24	thus	thus	ADV
ajst-30192	69	25	improving	improve	VERB
ajst-30192	69	26	the	the	DET
ajst-30192	69	27	operation	operation	NOUN
ajst-30192	69	28	speed	speed	NOUN
ajst-30192	69	29	and	and	CCONJ
ajst-30192	69	30	efficiency	efficiency	NOUN
ajst-30192	69	31	[	[	X
ajst-30192	69	32	9	9	NUM
ajst-30192	69	33	]	]	PUNCT
ajst-30192	69	34	as	as	ADP
ajst-30192	69	35	an	an	DET
ajst-30192	69	36	ensemble	ensemble	ADJ
ajst-30192	69	37	tree	tree	NOUN
ajst-30192	69	38	model	model	NOUN
ajst-30192	69	39	,	,	PUNCT
ajst-30192	69	40	the	the	DET
ajst-30192	69	41	xgboost	xgboost	PROPN
ajst-30192	69	42	model	model	NOUN
ajst-30192	69	43	contains	contain	VERB
ajst-30192	69	44	multiple	multiple	ADJ
ajst-30192	69	45	cart	cart	NOUN
ajst-30192	69	46	trees	tree	NOUN
ajst-30192	69	47	,	,	PUNCT
ajst-30192	69	48	each	each	PRON
ajst-30192	69	49	of	of	ADP
ajst-30192	69	50	which	which	PRON
ajst-30192	69	51	is	be	AUX
ajst-30192	69	52	a	a	DET
ajst-30192	69	53	regression	regression	NOUN
ajst-30192	69	54	tree	tree	NOUN
ajst-30192	69	55	or	or	CCONJ
ajst-30192	69	56	classification	classification	NOUN
ajst-30192	69	57	tree	tree	NOUN
ajst-30192	69	58	.	.	PUNCT
ajst-30192	70	1	xgboost	xgboost	PROPN
ajst-30192	70	2	uses	use	VERB
ajst-30192	70	3	a	a	DET
ajst-30192	70	4	method	method	NOUN
ajst-30192	70	5	similar	similar	ADJ
ajst-30192	70	6	to	to	ADP
ajst-30192	70	7	ensemble	ensemble	VERB
ajst-30192	70	8	learning	learning	NOUN
ajst-30192	70	9	to	to	PART
ajst-30192	70	10	add	add	VERB
ajst-30192	70	11	the	the	DET
ajst-30192	70	12	prediction	prediction	NOUN
ajst-30192	70	13	results	result	NOUN
ajst-30192	70	14	of	of	ADP
ajst-30192	70	15	multiple	multiple	ADJ
ajst-30192	70	16	cart	cart	NOUN
ajst-30192	70	17	trees	tree	NOUN
ajst-30192	70	18	to	to	PART
ajst-30192	70	19	obtain	obtain	VERB
ajst-30192	70	20	the	the	DET
ajst-30192	70	21	final	final	ADJ
ajst-30192	70	22	model	model	NOUN
ajst-30192	70	23	prediction	prediction	NOUN
ajst-30192	70	24	value	value	NOUN
ajst-30192	70	25	.	.	PUNCT
ajst-30192	71	1	the	the	DET
ajst-30192	71	2	core	core	NOUN
ajst-30192	71	3	advantages	advantage	NOUN
ajst-30192	71	4	of	of	ADP
ajst-30192	71	5	xgboost	xgboost	ADV
ajst-30192	71	6	are	be	AUX
ajst-30192	71	7	:	:	PUNCT
ajst-30192	71	8	achieving	achieve	VERB
ajst-30192	71	9	the	the	DET
ajst-30192	71	10	balance	balance	NOUN
ajst-30192	71	11	between	between	ADP
ajst-30192	71	12	speed	speed	NOUN
ajst-30192	71	13	and	and	CCONJ
ajst-30192	71	14	accuracy	accuracy	NOUN
ajst-30192	71	15	of	of	ADP
ajst-30192	71	16	efficient	efficient	ADJ
ajst-30192	71	17	calculation	calculation	NOUN
ajst-30192	71	18	through	through	ADP
ajst-30192	71	19	engineering	engineering	NOUN
ajst-30192	71	20	optimization	optimization	NOUN
ajst-30192	71	21	;	;	PUNCT
ajst-30192	71	22	regularization	regularization	NOUN
ajst-30192	71	23	and	and	CCONJ
ajst-30192	71	24	randomization	randomization	NOUN
ajst-30192	71	25	strategies	strategy	NOUN
ajst-30192	71	26	achieve	achieve	VERB
ajst-30192	71	27	strict	strict	ADJ
ajst-30192	71	28	generalization	generalization	NOUN
ajst-30192	71	29	control	control	NOUN
ajst-30192	71	30	;	;	PUNCT
ajst-30192	71	31	the	the	DET
ajst-30192	71	32	whole	whole	ADJ
ajst-30192	71	33	process	process	NOUN
ajst-30192	71	34	from	from	ADP
ajst-30192	71	35	missing	miss	VERB
ajst-30192	71	36	value	value	NOUN
ajst-30192	71	37	processing	processing	NOUN
ajst-30192	71	38	to	to	PART
ajst-30192	71	39	feature	feature	VERB
ajst-30192	71	40	importance	importance	NOUN
ajst-30192	71	41	analysis	analysis	NOUN
ajst-30192	71	42	supports	support	VERB
ajst-30192	71	43	end	end	NOUN
ajst-30192	71	44	-	-	PUNCT
ajst-30192	71	45	to	to	ADP
ajst-30192	71	46	-	-	PUNCT
ajst-30192	71	47	end	end	NOUN
ajst-30192	71	48	solutions	solution	NOUN
ajst-30192	71	49	.	.	PUNCT
ajst-30192	72	1	3.2	3.2	NUM
ajst-30192	72	2	.	.	PUNCT
ajst-30192	73	1	xgboost	xgboost	PROPN
ajst-30192	73	2	model	model	PROPN
ajst-30192	73	3	construction	construction	NOUN
ajst-30192	73	4	the	the	DET
ajst-30192	73	5	flow	flow	NOUN
ajst-30192	73	6	chart	chart	NOUN
ajst-30192	73	7	of	of	ADP
ajst-30192	73	8	the	the	DET
ajst-30192	73	9	surrounding	surround	VERB
ajst-30192	73	10	rock	rock	NOUN
ajst-30192	73	11	category	category	NOUN
ajst-30192	73	12	prediction	prediction	NOUN
ajst-30192	73	13	158	158	NUM
ajst-30192	73	14	model	model	NOUN
ajst-30192	73	15	based	base	VERB
ajst-30192	73	16	on	on	ADP
ajst-30192	73	17	the	the	DET
ajst-30192	73	18	xgboost	xgboost	PROPN
ajst-30192	73	19	algorithm	algorithm	PROPN
ajst-30192	73	20	model	model	NOUN
ajst-30192	73	21	is	be	AUX
ajst-30192	73	22	shown	show	VERB
ajst-30192	73	23	in	in	ADP
ajst-30192	73	24	figure	figure	NOUN
ajst-30192	73	25	8	8	NUM
ajst-30192	73	26	:	:	PUNCT
ajst-30192	73	27	(	(	PUNCT
ajst-30192	73	28	1	1	X
ajst-30192	73	29	)	)	PUNCT
ajst-30192	73	30	data	datum	NOUN
ajst-30192	73	31	preprocessing	preprocessing	NOUN
ajst-30192	73	32	:	:	PUNCT
ajst-30192	73	33	load	load	VERB
ajst-30192	73	34	the	the	DET
ajst-30192	73	35	surrounding	surround	VERB
ajst-30192	73	36	rock	rock	NOUN
ajst-30192	73	37	data	datum	NOUN
ajst-30192	73	38	from	from	ADP
ajst-30192	73	39	the	the	DET
ajst-30192	73	40	database	database	NOUN
ajst-30192	73	41	,	,	PUNCT
ajst-30192	73	42	preprocess	preprocess	VERB
ajst-30192	73	43	the	the	DET
ajst-30192	73	44	data	datum	NOUN
ajst-30192	73	45	of	of	ADP
ajst-30192	73	46	the	the	DET
ajst-30192	73	47	extracted	extract	VERB
ajst-30192	73	48	excavation	excavation	NOUN
ajst-30192	73	49	cycle	cycle	NOUN
ajst-30192	73	50	section	section	NOUN
ajst-30192	73	51	,	,	PUNCT
ajst-30192	73	52	eliminate	eliminate	VERB
ajst-30192	73	53	the	the	DET
ajst-30192	73	54	data	datum	NOUN
ajst-30192	73	55	of	of	ADP
ajst-30192	73	56	the	the	DET
ajst-30192	73	57	shutdown	shutdown	NOUN
ajst-30192	73	58	section	section	NOUN
ajst-30192	73	59	,	,	PUNCT
ajst-30192	73	60	and	and	CCONJ
ajst-30192	73	61	extract	extract	VERB
ajst-30192	73	62	the	the	DET
ajst-30192	73	63	data	datum	NOUN
ajst-30192	73	64	of	of	ADP
ajst-30192	73	65	the	the	DET
ajst-30192	73	66	working	working	NOUN
ajst-30192	73	67	section	section	NOUN
ajst-30192	73	68	.	.	PUNCT
ajst-30192	74	1	according	accord	VERB
ajst-30192	74	2	to	to	ADP
ajst-30192	74	3	section	section	NOUN
ajst-30192	74	4	5.1	5.1	NUM
ajst-30192	74	5	,	,	PUNCT
ajst-30192	74	6	the	the	DET
ajst-30192	74	7	features	feature	NOUN
ajst-30192	74	8	related	relate	VERB
ajst-30192	74	9	to	to	ADP
ajst-30192	74	10	the	the	DET
ajst-30192	74	11	surrounding	surround	VERB
ajst-30192	74	12	rock	rock	NOUN
ajst-30192	74	13	category	category	NOUN
ajst-30192	74	14	are	be	AUX
ajst-30192	74	15	selected	select	VERB
ajst-30192	74	16	,	,	PUNCT
ajst-30192	74	17	and	and	CCONJ
ajst-30192	74	18	the	the	DET
ajst-30192	74	19	numerical	numerical	ADJ
ajst-30192	74	20	features	feature	NOUN
ajst-30192	74	21	are	be	AUX
ajst-30192	74	22	normalized	normalize	VERB
ajst-30192	74	23	.	.	PUNCT
ajst-30192	75	1	then	then	ADV
ajst-30192	75	2	the	the	DET
ajst-30192	75	3	category	category	NOUN
ajst-30192	75	4	features	feature	NOUN
ajst-30192	75	5	are	be	AUX
ajst-30192	75	6	converted	convert	VERB
ajst-30192	75	7	into	into	ADP
ajst-30192	75	8	numerical	numerical	ADJ
ajst-30192	75	9	formats	format	NOUN
ajst-30192	75	10	,	,	PUNCT
ajst-30192	75	11	that	that	ADV
ajst-30192	75	12	is	is	ADV
ajst-30192	75	13	,	,	PUNCT
ajst-30192	75	14	the	the	DET
ajst-30192	75	15	surrounding	surround	VERB
ajst-30192	75	16	rocks	rock	NOUN
ajst-30192	75	17	of	of	ADP
ajst-30192	75	18	grade	grade	PROPN
ajst-30192	75	19	ii	ii	PROPN
ajst-30192	75	20	,	,	PUNCT
ajst-30192	75	21	grade	grade	NOUN
ajst-30192	75	22	iii	iii	PROPN
ajst-30192	75	23	,	,	PUNCT
ajst-30192	75	24	grade	grade	NOUN
ajst-30192	75	25	iv	iv	NOUN
ajst-30192	75	26	and	and	CCONJ
ajst-30192	75	27	grade	grade	NOUN
ajst-30192	75	28	v	v	NOUN
ajst-30192	75	29	are	be	AUX
ajst-30192	75	30	converted	convert	VERB
ajst-30192	75	31	into	into	ADP
ajst-30192	75	32	0	0	NUM
ajst-30192	75	33	,	,	PUNCT
ajst-30192	75	34	1	1	NUM
ajst-30192	75	35	,	,	PUNCT
ajst-30192	75	36	2	2	NUM
ajst-30192	75	37	and	and	CCONJ
ajst-30192	75	38	3	3	NUM
ajst-30192	75	39	.	.	PUNCT
ajst-30192	76	1	the	the	DET
ajst-30192	76	2	200	200	NUM
ajst-30192	76	3	groups	group	NOUN
ajst-30192	76	4	of	of	ADP
ajst-30192	76	5	data	datum	NOUN
ajst-30192	76	6	are	be	AUX
ajst-30192	76	7	divided	divide	VERB
ajst-30192	76	8	into	into	ADP
ajst-30192	76	9	training	training	NOUN
ajst-30192	76	10	set	set	NOUN
ajst-30192	76	11	and	and	CCONJ
ajst-30192	76	12	test	test	NOUN
ajst-30192	76	13	set	set	VERB
ajst-30192	76	14	,	,	PUNCT
ajst-30192	76	15	160	160	NUM
ajst-30192	76	16	groups	group	NOUN
ajst-30192	76	17	of	of	ADP
ajst-30192	76	18	training	training	NOUN
ajst-30192	76	19	set	set	VERB
ajst-30192	76	20	and	and	CCONJ
ajst-30192	76	21	40	40	NUM
ajst-30192	76	22	groups	group	NOUN
ajst-30192	76	23	of	of	ADP
ajst-30192	76	24	test	test	NOUN
ajst-30192	76	25	set	set	VERB
ajst-30192	76	26	.	.	PUNCT
ajst-30192	77	1	(	(	PUNCT
ajst-30192	77	2	2	2	X
ajst-30192	77	3	)	)	PUNCT
ajst-30192	77	4	xgboost	xgboost	CCONJ
ajst-30192	77	5	algorithm	algorithm	PROPN
ajst-30192	77	6	parameter	parameter	PROPN
ajst-30192	77	7	initialization	initialization	PROPN
ajst-30192	77	8	:	:	PUNCT
ajst-30192	77	9	when	when	SCONJ
ajst-30192	77	10	using	use	VERB
ajst-30192	77	11	xgboost	xgboost	ADV
ajst-30192	77	12	for	for	ADP
ajst-30192	77	13	four	four	NUM
ajst-30192	77	14	-	-	PUNCT
ajst-30192	77	15	classification	classification	NOUN
ajst-30192	77	16	tasks	task	NOUN
ajst-30192	77	17	,	,	PUNCT
ajst-30192	77	18	the	the	DET
ajst-30192	77	19	objective	objective	ADJ
ajst-30192	77	20	parameter	parameter	NOUN
ajst-30192	77	21	is	be	AUX
ajst-30192	77	22	set	set	VERB
ajst-30192	77	23	to	to	PART
ajst-30192	77	24	multi	multi	VERB
ajst-30192	77	25	:	:	PUNCT
ajst-30192	77	26	softmax	softmax	ADV
ajst-30192	77	27	,	,	PUNCT
ajst-30192	77	28	specify	specify	VERB
ajst-30192	77	29	the	the	DET
ajst-30192	77	30	number	number	NOUN
ajst-30192	77	31	of	of	ADP
ajst-30192	77	32	categories	category	NOUN
ajst-30192	78	1	num	num	X
ajst-30192	78	2	_	_	NOUN
ajst-30192	78	3	class	class	NOUN
ajst-30192	78	4	=	=	NOUN
ajst-30192	78	5	4	4	NUM
ajst-30192	78	6	,	,	PUNCT
ajst-30192	78	7	the	the	DET
ajst-30192	78	8	maximum	maximum	ADJ
ajst-30192	78	9	depth	depth	NOUN
ajst-30192	78	10	max	max	NOUN
ajst-30192	78	11	_	_	PUNCT
ajst-30192	79	1	depth	depth	NOUN
ajst-30192	79	2	of	of	ADP
ajst-30192	79	3	the	the	DET
ajst-30192	79	4	tree	tree	NOUN
ajst-30192	79	5	is	be	AUX
ajst-30192	79	6	set	set	VERB
ajst-30192	79	7	to	to	ADP
ajst-30192	79	8	6	6	NUM
ajst-30192	79	9	,	,	PUNCT
ajst-30192	79	10	the	the	DET
ajst-30192	79	11	learning	learning	NOUN
ajst-30192	79	12	rate	rate	NOUN
ajst-30192	79	13	eta	eta	PROPN
ajst-30192	79	14	is	be	AUX
ajst-30192	79	15	set	set	VERB
ajst-30192	79	16	to	to	ADP
ajst-30192	79	17	0.1	0.1	NUM
ajst-30192	79	18	,	,	PUNCT
ajst-30192	79	19	and	and	CCONJ
ajst-30192	79	20	the	the	DET
ajst-30192	79	21	random	random	ADJ
ajst-30192	79	22	seed	seed	NOUN
ajst-30192	79	23	seed	seed	NOUN
ajst-30192	79	24	is	be	AUX
ajst-30192	79	25	set	set	VERB
ajst-30192	79	26	to	to	ADP
ajst-30192	79	27	42	42	NUM
ajst-30192	79	28	.	.	PUNCT
ajst-30192	80	1	(	(	PUNCT
ajst-30192	80	2	3	3	X
ajst-30192	80	3	)	)	PUNCT
ajst-30192	80	4	training	training	NOUN
ajst-30192	80	5	model	model	NOUN
ajst-30192	80	6	:	:	PUNCT
ajst-30192	80	7	set	set	VERB
ajst-30192	80	8	the	the	DET
ajst-30192	80	9	number	number	NOUN
ajst-30192	80	10	of	of	ADP
ajst-30192	80	11	iterations	iteration	NOUN
ajst-30192	80	12	num	num	ADJ
ajst-30192	80	13	_	_	NOUN
ajst-30192	80	14	round	round	ADV
ajst-30192	80	15	=	=	NOUN
ajst-30192	80	16	100	100	NUM
ajst-30192	80	17	,	,	PUNCT
ajst-30192	80	18	and	and	CCONJ
ajst-30192	80	19	use	use	VERB
ajst-30192	80	20	the	the	DET
ajst-30192	80	21	xgb.train	xgb.train	PROPN
ajst-30192	80	22	(	(	PUNCT
ajst-30192	80	23	)	)	PUNCT
ajst-30192	80	24	function	function	VERB
ajst-30192	80	25	to	to	PART
ajst-30192	80	26	train	train	VERB
ajst-30192	80	27	the	the	DET
ajst-30192	80	28	model	model	NOUN
ajst-30192	80	29	.	.	PUNCT
ajst-30192	81	1	(	(	PUNCT
ajst-30192	81	2	4	4	X
ajst-30192	81	3	)	)	PUNCT
ajst-30192	81	4	model	model	NOUN
ajst-30192	81	5	evaluation	evaluation	NOUN
ajst-30192	81	6	:	:	PUNCT
ajst-30192	81	7	the	the	DET
ajst-30192	81	8	test	test	NOUN
ajst-30192	81	9	set	set	NOUN
ajst-30192	81	10	is	be	AUX
ajst-30192	81	11	used	use	VERB
ajst-30192	81	12	to	to	PART
ajst-30192	81	13	evaluate	evaluate	VERB
ajst-30192	81	14	the	the	DET
ajst-30192	81	15	performance	performance	NOUN
ajst-30192	81	16	of	of	ADP
ajst-30192	81	17	the	the	DET
ajst-30192	81	18	model	model	NOUN
ajst-30192	81	19	.	.	PUNCT
ajst-30192	82	1	the	the	DET
ajst-30192	82	2	accuracy	accuracy	NOUN
ajst-30192	82	3	of	of	ADP
ajst-30192	82	4	the	the	DET
ajst-30192	82	5	model	model	NOUN
ajst-30192	82	6	prediction	prediction	NOUN
ajst-30192	82	7	results	result	NOUN
ajst-30192	82	8	is	be	AUX
ajst-30192	82	9	determined	determine	VERB
ajst-30192	82	10	by	by	ADP
ajst-30192	82	11	the	the	DET
ajst-30192	82	12	values	value	NOUN
ajst-30192	82	13	of	of	ADP
ajst-30192	82	14	accuracy	accuracy	NOUN
ajst-30192	82	15	,	,	PUNCT
ajst-30192	82	16	precision	precision	NOUN
ajst-30192	82	17	,	,	PUNCT
ajst-30192	82	18	recall.tpr	recall.tpr	X
ajst-30192	82	19	and	and	CCONJ
ajst-30192	82	20	fpr	fpr	NOUN
ajst-30192	82	21	.	.	PUNCT
ajst-30192	83	1	the	the	DET
ajst-30192	83	2	model	model	NOUN
ajst-30192	83	3	evaluation	evaluation	NOUN
ajst-30192	83	4	index	index	NOUN
ajst-30192	83	5	can	can	AUX
ajst-30192	83	6	evaluate	evaluate	VERB
ajst-30192	83	7	the	the	DET
ajst-30192	83	8	accuracy	accuracy	NOUN
ajst-30192	83	9	of	of	ADP
ajst-30192	83	10	different	different	ADJ
ajst-30192	83	11	algorithm	algorithm	NOUN
ajst-30192	83	12	models	model	NOUN
ajst-30192	83	13	,	,	PUNCT
ajst-30192	83	14	and	and	CCONJ
ajst-30192	83	15	can	can	AUX
ajst-30192	83	16	also	also	ADV
ajst-30192	83	17	evaluate	evaluate	VERB
ajst-30192	83	18	the	the	DET
ajst-30192	83	19	accuracy	accuracy	NOUN
ajst-30192	83	20	of	of	ADP
ajst-30192	83	21	four	four	NUM
ajst-30192	83	22	types	type	NOUN
ajst-30192	83	23	of	of	ADP
ajst-30192	83	24	surrounding	surround	VERB
ajst-30192	83	25	rock	rock	NOUN
ajst-30192	83	26	prediction	prediction	NOUN
ajst-30192	83	27	.	.	PUNCT
ajst-30192	84	1	(	(	PUNCT
ajst-30192	84	2	5	5	NUM
ajst-30192	84	3	)	)	PUNCT
ajst-30192	84	4	xgboost	xgboost	NOUN
ajst-30192	84	5	model	model	PROPN
ajst-30192	84	6	application	application	NOUN
ajst-30192	84	7	:	:	PUNCT
ajst-30192	84	8	use	use	VERB
ajst-30192	84	9	joblib	joblib	NOUN
ajst-30192	84	10	to	to	PART
ajst-30192	84	11	save	save	VERB
ajst-30192	84	12	the	the	DET
ajst-30192	84	13	trained	train	VERB
ajst-30192	84	14	model	model	NOUN
ajst-30192	84	15	for	for	ADP
ajst-30192	84	16	subsequent	subsequent	ADJ
ajst-30192	84	17	use	use	NOUN
ajst-30192	84	18	,	,	PUNCT
ajst-30192	84	19	use	use	VERB
ajst-30192	84	20	the	the	DET
ajst-30192	84	21	loaded	load	VERB
ajst-30192	84	22	_	_	PROPN
ajst-30192	84	23	model	model	NOUN
ajst-30192	84	24	to	to	PART
ajst-30192	84	25	load	load	VERB
ajst-30192	84	26	the	the	DET
ajst-30192	84	27	model	model	NOUN
ajst-30192	84	28	for	for	ADP
ajst-30192	84	29	prediction	prediction	NOUN
ajst-30192	84	30	,	,	PUNCT
ajst-30192	84	31	and	and	CCONJ
ajst-30192	84	32	can	can	AUX
ajst-30192	84	33	also	also	ADV
ajst-30192	84	34	use	use	VERB
ajst-30192	84	35	the	the	DET
ajst-30192	84	36	trained	train	VERB
ajst-30192	84	37	model	model	NOUN
ajst-30192	84	38	to	to	PART
ajst-30192	84	39	predict	predict	VERB
ajst-30192	84	40	new	new	ADJ
ajst-30192	84	41	data	datum	NOUN
ajst-30192	84	42	.	.	PUNCT
ajst-30192	85	1	input	input	NOUN
ajst-30192	85	2	data	datum	NOUN
ajst-30192	85	3	set	set	VERB
ajst-30192	85	4	setting	set	VERB
ajst-30192	85	5	model	model	NOUN
ajst-30192	85	6	parameters	parameter	NOUN
ajst-30192	85	7	training	training	NOUN
ajst-30192	85	8	model	model	NOUN
ajst-30192	85	9	model	model	NOUN
ajst-30192	85	10	prediction	prediction	NOUN
ajst-30192	85	11	data	datum	NOUN
ajst-30192	85	12	pre	pre	ADJ
ajst-30192	85	13	-	-	ADJ
ajst-30192	85	14	processing	processing	ADJ
ajst-30192	85	15	historical	historical	ADJ
ajst-30192	85	16	data	datum	NOUN
ajst-30192	85	17	preservation	preservation	NOUN
ajst-30192	85	18	model	model	NOUN
ajst-30192	85	19	model	model	NOUN
ajst-30192	85	20	evaluation	evaluation	NOUN
ajst-30192	85	21	end	end	NOUN
ajst-30192	85	22	figure	figure	NOUN
ajst-30192	85	23	8	8	NUM
ajst-30192	85	24	.	.	PUNCT
ajst-30192	86	1	xgboost	xgboost	PROPN
ajst-30192	86	2	algorithm	algorithm	PROPN
ajst-30192	86	3	flow	flow	NOUN
ajst-30192	86	4	chart	chart	NOUN
ajst-30192	86	5	3.3	3.3	NUM
ajst-30192	86	6	.	.	PUNCT
ajst-30192	87	1	model	model	NOUN
ajst-30192	87	2	-	-	PUNCT
ajst-30192	87	3	evaluation	evaluation	NOUN
ajst-30192	87	4	index	index	NOUN
ajst-30192	87	5	accuracy	accuracy	NOUN
ajst-30192	87	6	,	,	PUNCT
ajst-30192	87	7	precision	precision	NOUN
ajst-30192	87	8	,	,	PUNCT
ajst-30192	87	9	recall	recall	NOUN
ajst-30192	87	10	,	,	PUNCT
ajst-30192	87	11	tpr	tpr	PROPN
ajst-30192	87	12	and	and	CCONJ
ajst-30192	87	13	fpr	fpr	NOUN
ajst-30192	87	14	were	be	AUX
ajst-30192	87	15	selected	select	VERB
ajst-30192	87	16	as	as	ADP
ajst-30192	87	17	the	the	DET
ajst-30192	87	18	evaluation	evaluation	NOUN
ajst-30192	87	19	indexes	index	NOUN
ajst-30192	87	20	of	of	ADP
ajst-30192	87	21	the	the	DET
ajst-30192	87	22	model	model	NOUN
ajst-30192	87	23	.	.	PUNCT
ajst-30192	88	1	true	true	ADJ
ajst-30192	88	2	positive	positive	ADJ
ajst-30192	88	3	rate	rate	NOUN
ajst-30192	88	4	(	(	PUNCT
ajst-30192	88	5	tpr	tpr	NOUN
ajst-30192	88	6	)	)	PUNCT
ajst-30192	88	7	represents	represent	VERB
ajst-30192	88	8	sensitivity	sensitivity	NOUN
ajst-30192	88	9	,	,	PUNCT
ajst-30192	88	10	and	and	CCONJ
ajst-30192	88	11	high	high	ADJ
ajst-30192	88	12	sensitivity	sensitivity	NOUN
ajst-30192	88	13	means	mean	VERB
ajst-30192	88	14	high	high	ADJ
ajst-30192	88	15	accuracy	accuracy	NOUN
ajst-30192	88	16	.	.	PUNCT
ajst-30192	89	1	false	false	ADJ
ajst-30192	89	2	positive	positive	ADJ
ajst-30192	89	3	rate	rate	NOUN
ajst-30192	89	4	(	(	PUNCT
ajst-30192	89	5	fpr	fpr	X
ajst-30192	89	6	)	)	PUNCT
ajst-30192	89	7	indicates	indicate	VERB
ajst-30192	89	8	specificity	specificity	NOUN
ajst-30192	89	9	,	,	PUNCT
ajst-30192	89	10	and	and	CCONJ
ajst-30192	89	11	low	low	ADJ
ajst-30192	89	12	specificity	specificity	NOUN
ajst-30192	89	13	leads	lead	VERB
ajst-30192	89	14	to	to	ADP
ajst-30192	89	15	low	low	ADJ
ajst-30192	89	16	misjudgment	misjudgment	NOUN
ajst-30192	89	17	rate	rate	NOUN
ajst-30192	89	18	.	.	PUNCT
ajst-30192	89	19	              	              	SPACE
ajst-30192	90	1	(	(	PUNCT
ajst-30192	90	2	1	1	NUM
ajst-30192	90	3	)	)	PUNCT
ajst-30192	90	4	  	  	SPACE
ajst-30192	90	5	in	in	ADP
ajst-30192	90	6	the	the	DET
ajst-30192	90	7	formula	formula	NOUN
ajst-30192	90	8	,	,	PUNCT
ajst-30192	90	9	tn	tn	PROPN
ajst-30192	90	10	indicates	indicate	VERB
ajst-30192	90	11	that	that	SCONJ
ajst-30192	90	12	the	the	DET
ajst-30192	90	13	prediction	prediction	NOUN
ajst-30192	90	14	is	be	AUX
ajst-30192	90	15	false	false	ADJ
ajst-30192	90	16	,	,	PUNCT
ajst-30192	90	17	and	and	CCONJ
ajst-30192	90	18	the	the	DET
ajst-30192	90	19	measured	measure	VERB
ajst-30192	90	20	value	value	NOUN
ajst-30192	90	21	is	be	AUX
ajst-30192	90	22	also	also	ADV
ajst-30192	90	23	false	false	ADJ
ajst-30192	90	24	;	;	PUNCT
ajst-30192	90	25	fp	fp	X
ajst-30192	90	26	represents	represent	VERB
ajst-30192	90	27	the	the	DET
ajst-30192	90	28	value	value	NOUN
ajst-30192	90	29	that	that	PRON
ajst-30192	90	30	the	the	DET
ajst-30192	90	31	prediction	prediction	NOUN
ajst-30192	90	32	is	be	AUX
ajst-30192	90	33	true	true	ADJ
ajst-30192	90	34	and	and	CCONJ
ajst-30192	90	35	the	the	DET
ajst-30192	90	36	measured	measure	VERB
ajst-30192	90	37	is	be	AUX
ajst-30192	90	38	false	false	ADJ
ajst-30192	90	39	;	;	PUNCT
ajst-30192	90	40	fn	fn	NOUN
ajst-30192	90	41	indicates	indicate	VERB
ajst-30192	90	42	that	that	SCONJ
ajst-30192	90	43	the	the	DET
ajst-30192	90	44	prediction	prediction	NOUN
ajst-30192	90	45	is	be	AUX
ajst-30192	90	46	false	false	ADJ
ajst-30192	90	47	and	and	CCONJ
ajst-30192	90	48	the	the	DET
ajst-30192	90	49	measured	measured	ADJ
ajst-30192	90	50	value	value	NOUN
ajst-30192	90	51	is	be	AUX
ajst-30192	90	52	true	true	ADJ
ajst-30192	90	53	;	;	PUNCT
ajst-30192	90	54	tp	tp	NOUN
ajst-30192	90	55	indicates	indicate	VERB
ajst-30192	90	56	that	that	SCONJ
ajst-30192	90	57	the	the	DET
ajst-30192	90	58	prediction	prediction	NOUN
ajst-30192	90	59	is	be	AUX
ajst-30192	90	60	true	true	ADJ
ajst-30192	90	61	,	,	PUNCT
ajst-30192	90	62	and	and	CCONJ
ajst-30192	90	63	the	the	DET
ajst-30192	90	64	measured	measure	VERB
ajst-30192	90	65	value	value	NOUN
ajst-30192	90	66	is	be	AUX
ajst-30192	90	67	also	also	ADV
ajst-30192	90	68	true	true	ADJ
ajst-30192	90	69	.	.	PUNCT
ajst-30192	91	1	the	the	DET
ajst-30192	91	2	statistical	statistical	ADJ
ajst-30192	91	3	parameter	parameter	NOUN
ajst-30192	91	4	is	be	AUX
ajst-30192	91	5	the	the	DET
ajst-30192	91	6	proportion	proportion	NOUN
ajst-30192	91	7	of	of	ADP
ajst-30192	91	8	all	all	PRON
ajst-30192	91	9	predicted	predict	VERB
ajst-30192	91	10	correct	correct	ADJ
ajst-30192	91	11	numbers	number	NOUN
ajst-30192	91	12	to	to	ADP
ajst-30192	91	13	the	the	DET
ajst-30192	91	14	total	total	ADJ
ajst-30192	91	15	number	number	NOUN
ajst-30192	91	16	.	.	PUNCT
ajst-30192	92	1	(	(	PUNCT
ajst-30192	92	2	2	2	X
ajst-30192	92	3	)	)	PUNCT
ajst-30192	92	4	in	in	ADP
ajst-30192	92	5	the	the	DET
ajst-30192	92	6	formula	formula	NOUN
ajst-30192	92	7	,	,	PUNCT
ajst-30192	92	8	tn	tn	PROPN
ajst-30192	92	9	indicates	indicate	VERB
ajst-30192	92	10	that	that	SCONJ
ajst-30192	92	11	the	the	DET
ajst-30192	92	12	prediction	prediction	NOUN
ajst-30192	92	13	is	be	AUX
ajst-30192	92	14	false	false	ADJ
ajst-30192	92	15	,	,	PUNCT
ajst-30192	92	16	and	and	CCONJ
ajst-30192	92	17	the	the	DET
ajst-30192	92	18	measured	measure	VERB
ajst-30192	92	19	value	value	NOUN
ajst-30192	92	20	is	be	AUX
ajst-30192	92	21	also	also	ADV
ajst-30192	92	22	false	false	ADJ
ajst-30192	92	23	;	;	PUNCT
ajst-30192	92	24	fp	fp	X
ajst-30192	92	25	represents	represent	VERB
ajst-30192	92	26	the	the	DET
ajst-30192	92	27	value	value	NOUN
ajst-30192	92	28	that	that	PRON
ajst-30192	92	29	the	the	DET
ajst-30192	92	30	prediction	prediction	NOUN
ajst-30192	92	31	is	be	AUX
ajst-30192	92	32	true	true	ADJ
ajst-30192	92	33	and	and	CCONJ
ajst-30192	92	34	the	the	DET
ajst-30192	92	35	measured	measure	VERB
ajst-30192	92	36	is	be	AUX
ajst-30192	92	37	false	false	ADJ
ajst-30192	92	38	;	;	PUNCT
ajst-30192	92	39	fn	fn	NOUN
ajst-30192	92	40	indicates	indicate	VERB
ajst-30192	92	41	that	that	SCONJ
ajst-30192	92	42	the	the	DET
ajst-30192	92	43	prediction	prediction	NOUN
ajst-30192	92	44	is	be	AUX
ajst-30192	92	45	false	false	ADJ
ajst-30192	92	46	and	and	CCONJ
ajst-30192	92	47	the	the	DET
ajst-30192	92	48	measured	measured	ADJ
ajst-30192	92	49	value	value	NOUN
ajst-30192	92	50	is	be	AUX
ajst-30192	92	51	true	true	ADJ
ajst-30192	92	52	;	;	PUNCT
ajst-30192	92	53	tp	tp	NOUN
ajst-30192	92	54	indicates	indicate	VERB
ajst-30192	92	55	that	that	SCONJ
ajst-30192	92	56	the	the	DET
ajst-30192	92	57	prediction	prediction	NOUN
ajst-30192	92	58	is	be	AUX
ajst-30192	92	59	true	true	ADJ
ajst-30192	92	60	,	,	PUNCT
ajst-30192	92	61	and	and	CCONJ
ajst-30192	92	62	the	the	DET
ajst-30192	92	63	measured	measure	VERB
ajst-30192	92	64	value	value	NOUN
ajst-30192	92	65	is	be	AUX
ajst-30192	92	66	also	also	ADV
ajst-30192	92	67	true	true	ADJ
ajst-30192	92	68	.	.	PUNCT
ajst-30192	93	1	the	the	DET
ajst-30192	93	2	statistical	statistical	ADJ
ajst-30192	93	3	parameter	parameter	NOUN
ajst-30192	93	4	is	be	AUX
ajst-30192	93	5	the	the	DET
ajst-30192	93	6	proportion	proportion	NOUN
ajst-30192	93	7	of	of	ADP
ajst-30192	93	8	all	all	PRON
ajst-30192	93	9	predicted	predict	VERB
ajst-30192	93	10	correct	correct	ADJ
ajst-30192	93	11	numbers	number	NOUN
ajst-30192	93	12	to	to	ADP
ajst-30192	93	13	the	the	DET
ajst-30192	93	14	total	total	ADJ
ajst-30192	93	15	number	number	NOUN
ajst-30192	93	16	.	.	PUNCT
ajst-30192	94	1	(	(	PUNCT
ajst-30192	94	2	3	3	X
ajst-30192	94	3	)	)	PUNCT
ajst-30192	94	4	the	the	DET
ajst-30192	94	5	parameters	parameter	NOUN
ajst-30192	94	6	in	in	ADP
ajst-30192	94	7	the	the	DET
ajst-30192	94	8	formula	formula	NOUN
ajst-30192	94	9	are	be	AUX
ajst-30192	94	10	defined	define	VERB
ajst-30192	94	11	as	as	ADP
ajst-30192	94	12	above	above	ADV
ajst-30192	94	13	,	,	PUNCT
ajst-30192	94	14	and	and	CCONJ
ajst-30192	94	15	the	the	DET
ajst-30192	94	16	statistical	statistical	ADJ
ajst-30192	94	17	parameters	parameter	NOUN
ajst-30192	94	18	represent	represent	VERB
ajst-30192	94	19	the	the	DET
ajst-30192	94	20	proportion	proportion	NOUN
ajst-30192	94	21	of	of	ADP
ajst-30192	94	22	the	the	DET
ajst-30192	94	23	number	number	NOUN
ajst-30192	94	24	of	of	ADP
ajst-30192	94	25	correctly	correctly	ADV
ajst-30192	94	26	predicted	predict	VERB
ajst-30192	94	27	positives	positive	NOUN
ajst-30192	94	28	to	to	ADP
ajst-30192	94	29	the	the	DET
ajst-30192	94	30	total	total	ADJ
ajst-30192	94	31	number	number	NOUN
ajst-30192	94	32	of	of	ADP
ajst-30192	94	33	actually	actually	ADV
ajst-30192	94	34	positives	positive	NOUN
ajst-30192	94	35	.	.	PUNCT
ajst-30192	95	1	(	(	PUNCT
ajst-30192	95	2	4	4	X
ajst-30192	95	3	)	)	PUNCT
ajst-30192	95	4	the	the	DET
ajst-30192	95	5	parameters	parameter	NOUN
ajst-30192	95	6	in	in	ADP
ajst-30192	95	7	the	the	DET
ajst-30192	95	8	formula	formula	NOUN
ajst-30192	95	9	are	be	AUX
ajst-30192	95	10	defined	define	VERB
ajst-30192	95	11	as	as	ADP
ajst-30192	95	12	above	above	ADV
ajst-30192	95	13	,	,	PUNCT
ajst-30192	95	14	and	and	CCONJ
ajst-30192	95	15	the	the	DET
ajst-30192	95	16	statistical	statistical	ADJ
ajst-30192	95	17	parameters	parameter	NOUN
ajst-30192	95	18	represent	represent	VERB
ajst-30192	95	19	the	the	DET
ajst-30192	95	20	proportion	proportion	NOUN
ajst-30192	95	21	of	of	ADP
ajst-30192	95	22	the	the	DET
ajst-30192	95	23	number	number	NOUN
ajst-30192	95	24	of	of	ADP
ajst-30192	95	25	correctly	correctly	ADV
ajst-30192	95	26	predicted	predict	VERB
ajst-30192	95	27	positives	positive	NOUN
ajst-30192	95	28	to	to	ADP
ajst-30192	95	29	the	the	DET
ajst-30192	95	30	total	total	ADJ
ajst-30192	95	31	number	number	NOUN
ajst-30192	95	32	of	of	ADP
ajst-30192	95	33	actually	actually	ADV
ajst-30192	95	34	positives	positive	NOUN
ajst-30192	95	35	.	.	PUNCT
ajst-30192	96	1	(	(	PUNCT
ajst-30192	96	2	5	5	X
ajst-30192	96	3	)	)	PUNCT
ajst-30192	96	4	the	the	DET
ajst-30192	96	5	parameter	parameter	NOUN
ajst-30192	96	6	in	in	ADP
ajst-30192	96	7	the	the	DET
ajst-30192	96	8	formula	formula	NOUN
ajst-30192	96	9	is	be	AUX
ajst-30192	96	10	defined	define	VERB
ajst-30192	96	11	as	as	ADP
ajst-30192	96	12	above	above	ADV
ajst-30192	96	13	,	,	PUNCT
ajst-30192	96	14	and	and	CCONJ
ajst-30192	96	15	the	the	DET
ajst-30192	96	16	statistical	statistical	ADJ
ajst-30192	96	17	parameter	parameter	NOUN
ajst-30192	96	18	represents	represent	VERB
ajst-30192	96	19	the	the	DET
ajst-30192	96	20	proportion	proportion	NOUN
ajst-30192	96	21	of	of	ADP
ajst-30192	96	22	the	the	DET
ajst-30192	96	23	number	number	NOUN
ajst-30192	96	24	of	of	ADP
ajst-30192	96	25	errors	error	NOUN
ajst-30192	96	26	predicted	predict	VERB
ajst-30192	96	27	as	as	ADP
ajst-30192	96	28	negative	negative	ADJ
ajst-30192	96	29	to	to	ADP
ajst-30192	96	30	the	the	DET
ajst-30192	96	31	total	total	ADJ
ajst-30192	96	32	number	number	NOUN
ajst-30192	96	33	of	of	ADP
ajst-30192	96	34	actual	actual	ADJ
ajst-30192	96	35	negatives	negative	NOUN
ajst-30192	96	36	.	.	PUNCT
ajst-30192	97	1	3.4	3.4	NUM
ajst-30192	97	2	.	.	PUNCT
ajst-30192	97	3	model	model	NOUN
ajst-30192	97	4	input	input	NOUN
ajst-30192	97	5	variable	variable	ADJ
ajst-30192	97	6	screening	screen	VERB
ajst-30192	97	7	from	from	ADP
ajst-30192	97	8	the	the	DET
ajst-30192	97	9	statistical	statistical	ADJ
ajst-30192	97	10	analysis	analysis	NOUN
ajst-30192	97	11	results	result	NOUN
ajst-30192	97	12	of	of	ADP
ajst-30192	97	13	section	section	NOUN
ajst-30192	97	14	2.1	2.1	NUM
ajst-30192	97	15	,	,	PUNCT
ajst-30192	97	16	it	it	PRON
ajst-30192	97	17	can	can	AUX
ajst-30192	97	18	be	be	AUX
ajst-30192	97	19	seen	see	VERB
ajst-30192	97	20	that	that	SCONJ
ajst-30192	97	21	the	the	DET
ajst-30192	97	22	three	three	NUM
ajst-30192	97	23	parameters	parameter	NOUN
ajst-30192	97	24	of	of	ADP
ajst-30192	97	25	f	f	PROPN
ajst-30192	97	26	,	,	PUNCT
ajst-30192	97	27	n	n	PROPN
ajst-30192	97	28	and	and	CCONJ
ajst-30192	97	29	t	t	PROPN
ajst-30192	97	30	have	have	VERB
ajst-30192	97	31	good	good	ADJ
ajst-30192	97	32	discrimination	discrimination	NOUN
ajst-30192	97	33	,	,	PUNCT
ajst-30192	97	34	the	the	DET
ajst-30192	97	35	discrimination	discrimination	NOUN
ajst-30192	97	36	of	of	ADP
ajst-30192	97	37	v	v	NOUN
ajst-30192	97	38	is	be	AUX
ajst-30192	97	39	slightly	slightly	ADV
ajst-30192	97	40	poor	poor	ADJ
ajst-30192	97	41	,	,	PUNCT
ajst-30192	97	42	and	and	CCONJ
ajst-30192	97	43	p	p	NOUN
ajst-30192	97	44	and	and	CCONJ
ajst-30192	97	45	cp	cp	INTJ
ajst-30192	97	46	basically	basically	ADV
ajst-30192	97	47	do	do	AUX
ajst-30192	97	48	not	not	PART
ajst-30192	97	49	have	have	VERB
ajst-30192	97	50	the	the	DET
ajst-30192	97	51	ability	ability	NOUN
ajst-30192	97	52	to	to	PART
ajst-30192	97	53	distinguish	distinguish	VERB
ajst-30192	97	54	the	the	DET
ajst-30192	97	55	surrounding	surround	VERB
ajst-30192	97	56	rock	rock	NOUN
ajst-30192	97	57	grade	grade	NOUN
ajst-30192	97	58	.	.	PUNCT
ajst-30192	98	1	considering	consider	VERB
ajst-30192	98	2	that	that	SCONJ
ajst-30192	98	3	only	only	ADV
ajst-30192	98	4	f	f	PROPN
ajst-30192	98	5	,	,	PUNCT
ajst-30192	98	6	n	n	CCONJ
ajst-30192	98	7	,	,	PUNCT
ajst-30192	98	8	t	t	PROPN
ajst-30192	98	9	,	,	PUNCT
ajst-30192	98	10	v	v	NOUN
ajst-30192	98	11	and	and	CCONJ
ajst-30192	98	12	tp	tp	ADP
ajst-30192	98	13	tn	tn	PROPN
ajst-30192	98	14	accuracy	accuracy	NOUN
ajst-30192	98	15	tp	tp	ADP
ajst-30192	98	16	fp	fp	PROPN
ajst-30192	98	17	tn	tn	PROPN
ajst-30192	98	18	fn	fn	PROPN
ajst-30192	98	19			PROPN
ajst-30192	98	20			PROPN
ajst-30192	98	21			PROPN
ajst-30192	98	22			PUNCT
ajst-30192	98	23			VERB
ajst-30192	98	24	tp	tp	ADP
ajst-30192	98	25	precision	precision	NOUN
ajst-30192	98	26	tp	tp	ADP
ajst-30192	98	27	fp	fp	PROPN
ajst-30192	98	28			PROPN
ajst-30192	98	29			PUNCT
ajst-30192	98	30	tp	tp	PART
ajst-30192	98	31	recall	recall	VERB
ajst-30192	98	32	tp	tp	ADP
ajst-30192	98	33	fn	fn	PROPN
ajst-30192	98	34			PROPN
ajst-30192	98	35			PUNCT
ajst-30192	98	36	tp	tp	ADP
ajst-30192	98	37	tpr	tpr	PROPN
ajst-30192	98	38	tp	tp	PROPN
ajst-30192	98	39	fn	fn	PROPN
ajst-30192	98	40			PROPN
ajst-30192	98	41			PUNCT
ajst-30192	98	42	tp	tp	ADP
ajst-30192	98	43	fpr	fpr	PROPN
ajst-30192	98	44	tn	tn	PROPN
ajst-30192	98	45	fp	fp	PROPN
ajst-30192	99	1			PROPN
ajst-30192	99	2			ADJ
ajst-30192	99	3	159	159	NUM
ajst-30192	99	4	p	p	NOUN
ajst-30192	99	5	can	can	AUX
ajst-30192	99	6	be	be	AUX
ajst-30192	99	7	obtained	obtain	VERB
ajst-30192	99	8	directly	directly	ADV
ajst-30192	99	9	from	from	ADP
ajst-30192	99	10	the	the	DET
ajst-30192	99	11	main	main	ADJ
ajst-30192	99	12	control	control	NOUN
ajst-30192	99	13	room	room	NOUN
ajst-30192	99	14	in	in	ADP
ajst-30192	99	15	real	real	ADJ
ajst-30192	99	16	time	time	NOUN
ajst-30192	99	17	at	at	ADP
ajst-30192	99	18	the	the	DET
ajst-30192	99	19	construction	construction	NOUN
ajst-30192	99	20	site	site	NOUN
ajst-30192	99	21	,	,	PUNCT
ajst-30192	99	22	in	in	ADP
ajst-30192	99	23	order	order	NOUN
ajst-30192	99	24	to	to	PART
ajst-30192	99	25	facilitate	facilitate	VERB
ajst-30192	99	26	the	the	DET
ajst-30192	99	27	field	field	NOUN
ajst-30192	99	28	application	application	NOUN
ajst-30192	99	29	of	of	ADP
ajst-30192	99	30	the	the	DET
ajst-30192	99	31	real	real	ADJ
ajst-30192	99	32	-	-	PUNCT
ajst-30192	99	33	time	time	NOUN
ajst-30192	99	34	identification	identification	NOUN
ajst-30192	99	35	model	model	NOUN
ajst-30192	99	36	of	of	ADP
ajst-30192	99	37	surrounding	surround	VERB
ajst-30192	99	38	rock	rock	NOUN
ajst-30192	99	39	grade	grade	NOUN
ajst-30192	99	40	,	,	PUNCT
ajst-30192	99	41	these	these	DET
ajst-30192	99	42	parameters	parameter	NOUN
ajst-30192	99	43	should	should	AUX
ajst-30192	99	44	be	be	AUX
ajst-30192	99	45	selected	select	VERB
ajst-30192	99	46	as	as	ADP
ajst-30192	99	47	input	input	NOUN
ajst-30192	99	48	variables	variable	NOUN
ajst-30192	99	49	as	as	ADV
ajst-30192	99	50	far	far	ADV
ajst-30192	99	51	as	as	ADP
ajst-30192	99	52	possible	possible	ADJ
ajst-30192	99	53	.	.	PUNCT
ajst-30192	100	1	firstly	firstly	ADV
ajst-30192	100	2	,	,	PUNCT
ajst-30192	100	3	f	f	PROPN
ajst-30192	100	4	,	,	PUNCT
ajst-30192	100	5	n	n	CCONJ
ajst-30192	100	6	,	,	PUNCT
ajst-30192	100	7	t	t	PROPN
ajst-30192	100	8	and	and	CCONJ
ajst-30192	100	9	v	v	NOUN
ajst-30192	100	10	are	be	AUX
ajst-30192	100	11	selected	select	VERB
ajst-30192	100	12	as	as	ADP
ajst-30192	100	13	the	the	DET
ajst-30192	100	14	input	input	NOUN
ajst-30192	100	15	variables	variable	NOUN
ajst-30192	100	16	of	of	ADP
ajst-30192	100	17	the	the	DET
ajst-30192	100	18	multiple	multiple	ADJ
ajst-30192	100	19	linear	linear	PROPN
ajst-30192	100	20	regression	regression	NOUN
ajst-30192	100	21	model	model	NOUN
ajst-30192	100	22	,	,	PUNCT
ajst-30192	100	23	and	and	CCONJ
ajst-30192	100	24	the	the	DET
ajst-30192	100	25	surrounding	surround	VERB
ajst-30192	100	26	rock	rock	NOUN
ajst-30192	100	27	grade	grade	NOUN
ajst-30192	100	28	is	be	AUX
ajst-30192	100	29	taken	take	VERB
ajst-30192	100	30	as	as	ADP
ajst-30192	100	31	the	the	DET
ajst-30192	100	32	output	output	NOUN
ajst-30192	100	33	variable	variable	NOUN
ajst-30192	100	34	.	.	PUNCT
ajst-30192	101	1	the	the	DET
ajst-30192	101	2	visual	visual	ADJ
ajst-30192	101	3	confusion	confusion	NOUN
ajst-30192	101	4	matrix	matrix	NOUN
ajst-30192	101	5	of	of	ADP
ajst-30192	101	6	the	the	DET
ajst-30192	101	7	model	model	NOUN
ajst-30192	101	8	is	be	AUX
ajst-30192	101	9	shown	show	VERB
ajst-30192	101	10	in	in	ADP
ajst-30192	101	11	figure	figure	NOUN
ajst-30192	101	12	9	9	NUM
ajst-30192	101	13	.	.	PUNCT
ajst-30192	102	1	figure	figure	NOUN
ajst-30192	102	2	9	9	NUM
ajst-30192	102	3	.	.	PUNCT
ajst-30192	102	4	confusion	confusion	NOUN
ajst-30192	102	5	matrix	matrix	NOUN
ajst-30192	102	6	based	base	VERB
ajst-30192	102	7	on	on	ADP
ajst-30192	102	8	f	f	PROPN
ajst-30192	102	9	,	,	PUNCT
ajst-30192	102	10	n	n	CCONJ
ajst-30192	102	11	,	,	PUNCT
ajst-30192	102	12	t	t	PROPN
ajst-30192	102	13	,	,	PUNCT
ajst-30192	102	14	v	v	ADP
ajst-30192	102	15	the	the	DET
ajst-30192	102	16	prediction	prediction	NOUN
ajst-30192	102	17	accuracy	accuracy	NOUN
ajst-30192	102	18	of	of	ADP
ajst-30192	102	19	the	the	DET
ajst-30192	102	20	samples	sample	NOUN
ajst-30192	102	21	is	be	AUX
ajst-30192	102	22	shown	show	VERB
ajst-30192	102	23	in	in	ADP
ajst-30192	102	24	table	table	NOUN
ajst-30192	102	25	1	1	NUM
ajst-30192	102	26	.	.	PUNCT
ajst-30192	103	1	the	the	DET
ajst-30192	103	2	v	v	NOUN
ajst-30192	103	3	-	-	PUNCT
ajst-30192	103	4	level	level	NOUN
ajst-30192	103	5	surrounding	surround	VERB
ajst-30192	103	6	rocks	rock	NOUN
ajst-30192	103	7	are	be	AUX
ajst-30192	103	8	all	all	PRON
ajst-30192	103	9	identified	identify	VERB
ajst-30192	103	10	.	.	PUNCT
ajst-30192	104	1	because	because	SCONJ
ajst-30192	104	2	v	v	NOUN
ajst-30192	104	3	and	and	CCONJ
ajst-30192	104	4	n	n	CCONJ
ajst-30192	104	5	have	have	VERB
ajst-30192	104	6	some	some	PRON
ajst-30192	104	7	of	of	ADP
ajst-30192	104	8	the	the	DET
ajst-30192	104	9	same	same	ADJ
ajst-30192	104	10	intervals	interval	NOUN
ajst-30192	104	11	in	in	ADP
ajst-30192	104	12	the	the	DET
ajst-30192	104	13	ii	ii	NOUN
ajst-30192	104	14	-	-	PUNCT
ajst-30192	104	15	level	level	NOUN
ajst-30192	104	16	,	,	PUNCT
ajst-30192	104	17	iii	iii	NOUN
ajst-30192	104	18	-	-	PUNCT
ajst-30192	104	19	level	level	NOUN
ajst-30192	104	20	,	,	PUNCT
ajst-30192	104	21	and	and	CCONJ
ajst-30192	104	22	iv	iv	NUM
ajst-30192	104	23	-	-	PUNCT
ajst-30192	104	24	level	level	NOUN
ajst-30192	104	25	surrounding	surround	VERB
ajst-30192	104	26	rocks	rock	NOUN
ajst-30192	104	27	,	,	PUNCT
ajst-30192	104	28	there	there	PRON
ajst-30192	104	29	are	be	VERB
ajst-30192	104	30	individual	individual	ADJ
ajst-30192	104	31	sample	sample	NOUN
ajst-30192	104	32	identification	identification	NOUN
ajst-30192	104	33	errors	error	NOUN
ajst-30192	104	34	,	,	PUNCT
ajst-30192	104	35	and	and	CCONJ
ajst-30192	104	36	the	the	DET
ajst-30192	104	37	total	total	ADJ
ajst-30192	104	38	accuracy	accuracy	NOUN
ajst-30192	104	39	rate	rate	NOUN
ajst-30192	104	40	is	be	AUX
ajst-30192	104	41	as	as	ADV
ajst-30192	104	42	high	high	ADJ
ajst-30192	104	43	as	as	ADP
ajst-30192	104	44	96.25	96.25	NUM
ajst-30192	104	45	%	%	NOUN
ajst-30192	104	46	.	.	PUNCT
ajst-30192	105	1	it	it	PRON
ajst-30192	105	2	shows	show	VERB
ajst-30192	105	3	that	that	SCONJ
ajst-30192	105	4	the	the	DET
ajst-30192	105	5	selected	select	VERB
ajst-30192	105	6	feature	feature	NOUN
ajst-30192	105	7	space	space	NOUN
ajst-30192	105	8	is	be	AUX
ajst-30192	105	9	good	good	ADJ
ajst-30192	105	10	,	,	PUNCT
ajst-30192	105	11	and	and	CCONJ
ajst-30192	105	12	the	the	DET
ajst-30192	105	13	model	model	NOUN
ajst-30192	105	14	training	training	NOUN
ajst-30192	105	15	effect	effect	NOUN
ajst-30192	105	16	is	be	AUX
ajst-30192	105	17	good	good	ADJ
ajst-30192	105	18	,	,	PUNCT
ajst-30192	105	19	which	which	PRON
ajst-30192	105	20	can	can	AUX
ajst-30192	105	21	be	be	AUX
ajst-30192	105	22	used	use	VERB
ajst-30192	105	23	for	for	ADP
ajst-30192	105	24	the	the	DET
ajst-30192	105	25	prediction	prediction	NOUN
ajst-30192	105	26	of	of	ADP
ajst-30192	105	27	the	the	DET
ajst-30192	105	28	test	test	NOUN
ajst-30192	105	29	set	set	VERB
ajst-30192	105	30	.	.	PUNCT
ajst-30192	106	1	table	table	NOUN
ajst-30192	106	2	1	1	NUM
ajst-30192	106	3	.	.	PUNCT
ajst-30192	106	4	prediction	prediction	NOUN
ajst-30192	106	5	effect	effect	NOUN
ajst-30192	106	6	table	table	NOUN
ajst-30192	106	7	based	base	VERB
ajst-30192	106	8	on	on	ADP
ajst-30192	106	9	f	f	PROPN
ajst-30192	106	10	,	,	PUNCT
ajst-30192	106	11	n	n	CCONJ
ajst-30192	106	12	,	,	PUNCT
ajst-30192	106	13	t	t	PROPN
ajst-30192	106	14	,	,	PUNCT
ajst-30192	106	15	v	v	NOUN
ajst-30192	106	16	grade	grade	NOUN
ajst-30192	106	17	number	number	NOUN
ajst-30192	106	18	true	true	ADJ
ajst-30192	106	19	false	false	ADJ
ajst-30192	106	20	accuracy	accuracy	NOUN
ajst-30192	106	21	ii	ii	NOUN
ajst-30192	106	22	40	40	NUM
ajst-30192	106	23	38	38	NUM
ajst-30192	106	24	2	2	NUM
ajst-30192	106	25	95	95	NUM
ajst-30192	106	26	%	%	NOUN
ajst-30192	106	27	iii	iii	NUM
ajst-30192	106	28	40	40	NUM
ajst-30192	106	29	38	38	NUM
ajst-30192	106	30	2	2	NUM
ajst-30192	106	31	95	95	NUM
ajst-30192	106	32	%	%	NOUN
ajst-30192	106	33	iv	iv	NUM
ajst-30192	106	34	40	40	NUM
ajst-30192	106	35	38	38	NUM
ajst-30192	106	36	2	2	NUM
ajst-30192	106	37	95	95	NUM
ajst-30192	106	38	%	%	NOUN
ajst-30192	106	39	v	v	ADP
ajst-30192	106	40	40	40	NUM
ajst-30192	106	41	40	40	NUM
ajst-30192	106	42	0	0	NUM
ajst-30192	106	43	100	100	NUM
ajst-30192	106	44	%	%	NOUN
ajst-30192	107	1	the	the	DET
ajst-30192	107	2	five	five	NUM
ajst-30192	107	3	parameters	parameter	NOUN
ajst-30192	107	4	of	of	ADP
ajst-30192	107	5	f	f	PROPN
ajst-30192	107	6	,	,	PUNCT
ajst-30192	107	7	n	n	CCONJ
ajst-30192	107	8	,	,	PUNCT
ajst-30192	107	9	t	t	PROPN
ajst-30192	107	10	,	,	PUNCT
ajst-30192	107	11	v	v	NOUN
ajst-30192	107	12	and	and	CCONJ
ajst-30192	107	13	p	p	NOUN
ajst-30192	107	14	are	be	AUX
ajst-30192	107	15	selected	select	VERB
ajst-30192	107	16	as	as	ADP
ajst-30192	107	17	the	the	DET
ajst-30192	107	18	feature	feature	NOUN
ajst-30192	107	19	space	space	NOUN
ajst-30192	107	20	.	.	PUNCT
ajst-30192	108	1	the	the	DET
ajst-30192	108	2	visual	visual	ADJ
ajst-30192	108	3	confusion	confusion	NOUN
ajst-30192	108	4	matrix	matrix	NOUN
ajst-30192	108	5	of	of	ADP
ajst-30192	108	6	the	the	DET
ajst-30192	108	7	model	model	NOUN
ajst-30192	108	8	is	be	AUX
ajst-30192	108	9	shown	show	VERB
ajst-30192	108	10	in	in	ADP
ajst-30192	108	11	figure	figure	NOUN
ajst-30192	108	12	10	10	NUM
ajst-30192	108	13	.	.	PUNCT
ajst-30192	109	1	the	the	DET
ajst-30192	109	2	prediction	prediction	NOUN
ajst-30192	109	3	accuracy	accuracy	NOUN
ajst-30192	109	4	of	of	ADP
ajst-30192	109	5	the	the	DET
ajst-30192	109	6	samples	sample	NOUN
ajst-30192	109	7	is	be	AUX
ajst-30192	109	8	shown	show	VERB
ajst-30192	109	9	in	in	ADP
ajst-30192	109	10	table	table	NOUN
ajst-30192	109	11	2	2	NUM
ajst-30192	109	12	.	.	PUNCT
ajst-30192	110	1	it	it	PRON
ajst-30192	110	2	can	can	AUX
ajst-30192	110	3	be	be	AUX
ajst-30192	110	4	seen	see	VERB
ajst-30192	110	5	that	that	SCONJ
ajst-30192	110	6	the	the	DET
ajst-30192	110	7	recognition	recognition	NOUN
ajst-30192	110	8	accuracy	accuracy	NOUN
ajst-30192	110	9	of	of	ADP
ajst-30192	110	10	grade	grade	NOUN
ajst-30192	110	11	ii	ii	PROPN
ajst-30192	110	12	surrounding	surround	VERB
ajst-30192	110	13	rock	rock	NOUN
ajst-30192	110	14	is	be	AUX
ajst-30192	110	15	the	the	DET
ajst-30192	110	16	highest	high	ADJ
ajst-30192	110	17	,	,	PUNCT
ajst-30192	110	18	which	which	PRON
ajst-30192	110	19	is	be	AUX
ajst-30192	110	20	90	90	NUM
ajst-30192	110	21	%	%	NOUN
ajst-30192	110	22	.	.	PUNCT
ajst-30192	111	1	the	the	DET
ajst-30192	111	2	recognition	recognition	NOUN
ajst-30192	111	3	accuracy	accuracy	NOUN
ajst-30192	111	4	of	of	ADP
ajst-30192	111	5	surrounding	surround	VERB
ajst-30192	111	6	rock	rock	NOUN
ajst-30192	111	7	of	of	ADP
ajst-30192	111	8	grade	grade	PROPN
ajst-30192	111	9	iii	iii	PROPN
ajst-30192	111	10	is	be	AUX
ajst-30192	111	11	the	the	DET
ajst-30192	111	12	lowest	low	ADJ
ajst-30192	111	13	,	,	PUNCT
ajst-30192	111	14	which	which	PRON
ajst-30192	111	15	is	be	AUX
ajst-30192	111	16	82.5	82.5	NUM
ajst-30192	111	17	%	%	NOUN
ajst-30192	111	18	.	.	PUNCT
ajst-30192	112	1	after	after	ADP
ajst-30192	112	2	adding	add	VERB
ajst-30192	112	3	p	p	PRON
ajst-30192	112	4	to	to	ADP
ajst-30192	112	5	the	the	DET
ajst-30192	112	6	characteristic	characteristic	ADJ
ajst-30192	112	7	parameters	parameter	NOUN
ajst-30192	112	8	,	,	PUNCT
ajst-30192	112	9	the	the	DET
ajst-30192	112	10	total	total	ADJ
ajst-30192	112	11	accuracy	accuracy	NOUN
ajst-30192	112	12	rate	rate	NOUN
ajst-30192	112	13	decreased	decrease	VERB
ajst-30192	112	14	to	to	ADP
ajst-30192	112	15	85.63	85.63	NUM
ajst-30192	112	16	%	%	NOUN
ajst-30192	112	17	,	,	PUNCT
ajst-30192	112	18	which	which	PRON
ajst-30192	112	19	decreased	decrease	VERB
ajst-30192	112	20	by	by	ADP
ajst-30192	112	21	9.62	9.62	NUM
ajst-30192	112	22	%	%	NOUN
ajst-30192	112	23	.	.	PUNCT
ajst-30192	113	1	because	because	SCONJ
ajst-30192	113	2	p	p	NOUN
ajst-30192	113	3	has	have	VERB
ajst-30192	113	4	a	a	DET
ajst-30192	113	5	high	high	ADJ
ajst-30192	113	6	degree	degree	NOUN
ajst-30192	113	7	of	of	ADP
ajst-30192	113	8	coincidence	coincidence	NOUN
ajst-30192	113	9	in	in	ADP
ajst-30192	113	10	the	the	DET
ajst-30192	113	11	distribution	distribution	NOUN
ajst-30192	113	12	of	of	ADP
ajst-30192	113	13	grade	grade	PROPN
ajst-30192	113	14	ii	ii	PROPN
ajst-30192	113	15	,	,	PUNCT
ajst-30192	113	16	grade	grade	NOUN
ajst-30192	113	17	iii	iii	PROPN
ajst-30192	113	18	,	,	PUNCT
ajst-30192	113	19	grade	grade	NOUN
ajst-30192	113	20	iv	iv	NOUN
ajst-30192	113	21	and	and	CCONJ
ajst-30192	113	22	grade	grade	NOUN
ajst-30192	113	23	v	v	ADJ
ajst-30192	113	24	surrounding	surround	VERB
ajst-30192	113	25	rock	rock	NOUN
ajst-30192	113	26	,	,	PUNCT
ajst-30192	113	27	it	it	PRON
ajst-30192	113	28	is	be	AUX
ajst-30192	113	29	difficult	difficult	ADJ
ajst-30192	113	30	to	to	PART
ajst-30192	113	31	effectively	effectively	ADV
ajst-30192	113	32	distinguish	distinguish	VERB
ajst-30192	113	33	the	the	DET
ajst-30192	113	34	grade	grade	NOUN
ajst-30192	113	35	of	of	ADP
ajst-30192	113	36	surrounding	surround	VERB
ajst-30192	113	37	rock	rock	NOUN
ajst-30192	113	38	,	,	PUNCT
ajst-30192	113	39	so	so	SCONJ
ajst-30192	113	40	the	the	DET
ajst-30192	113	41	prediction	prediction	NOUN
ajst-30192	113	42	effect	effect	NOUN
ajst-30192	113	43	of	of	ADP
ajst-30192	113	44	the	the	DET
ajst-30192	113	45	model	model	NOUN
ajst-30192	113	46	decreases	decrease	VERB
ajst-30192	113	47	.	.	PUNCT
ajst-30192	114	1	figure	figure	NOUN
ajst-30192	114	2	10	10	NUM
ajst-30192	114	3	.	.	PUNCT
ajst-30192	115	1	confusion	confusion	NOUN
ajst-30192	115	2	matrix	matrix	NOUN
ajst-30192	115	3	based	base	VERB
ajst-30192	115	4	on	on	ADP
ajst-30192	115	5	f	f	PROPN
ajst-30192	115	6	,	,	PUNCT
ajst-30192	115	7	n	n	CCONJ
ajst-30192	115	8	,	,	PUNCT
ajst-30192	115	9	t	t	PROPN
ajst-30192	115	10	,	,	PUNCT
ajst-30192	115	11	v	v	NOUN
ajst-30192	115	12	,	,	PUNCT
ajst-30192	115	13	p	p	NOUN
ajst-30192	115	14	table	table	NOUN
ajst-30192	115	15	2	2	NUM
ajst-30192	115	16	.	.	PUNCT
ajst-30192	115	17	prediction	prediction	NOUN
ajst-30192	115	18	effect	effect	NOUN
ajst-30192	115	19	table	table	NOUN
ajst-30192	115	20	based	base	VERB
ajst-30192	115	21	on	on	ADP
ajst-30192	115	22	f	f	PROPN
ajst-30192	115	23	,	,	PUNCT
ajst-30192	115	24	n	n	CCONJ
ajst-30192	115	25	,	,	PUNCT
ajst-30192	115	26	t	t	PROPN
ajst-30192	115	27	,	,	PUNCT
ajst-30192	115	28	p	p	ADJ
ajst-30192	115	29	grade	grade	NOUN
ajst-30192	115	30	number	number	NOUN
ajst-30192	115	31	true	true	ADJ
ajst-30192	115	32	false	false	ADJ
ajst-30192	115	33	accuracy	accuracy	NOUN
ajst-30192	115	34	ii	ii	NOUN
ajst-30192	115	35	40	40	NUM
ajst-30192	115	36	36	36	NUM
ajst-30192	115	37	4	4	NUM
ajst-30192	115	38	90	90	NUM
ajst-30192	115	39	%	%	NOUN
ajst-30192	115	40	iii	iii	NUM
ajst-30192	115	41	40	40	NUM
ajst-30192	115	42	33	33	NUM
ajst-30192	115	43	7	7	NUM
ajst-30192	115	44	82.5	82.5	NUM
ajst-30192	115	45	%	%	NOUN
ajst-30192	115	46	iv	iv	NUM
ajst-30192	115	47	40	40	NUM
ajst-30192	115	48	34	34	NUM
ajst-30192	115	49	6	6	NUM
ajst-30192	115	50	85	85	NUM
ajst-30192	115	51	%	%	NOUN
ajst-30192	115	52	v	v	ADP
ajst-30192	115	53	40	40	NUM
ajst-30192	115	54	34	34	NUM
ajst-30192	115	55	6	6	NUM
ajst-30192	115	56	185	185	NUM
ajst-30192	115	57	%	%	NOUN
ajst-30192	115	58	five	five	NUM
ajst-30192	115	59	parameters	parameter	NOUN
ajst-30192	115	60	of	of	ADP
ajst-30192	115	61	f	f	PROPN
ajst-30192	115	62	,	,	PUNCT
ajst-30192	115	63	n	n	CCONJ
ajst-30192	115	64	,	,	PUNCT
ajst-30192	115	65	t	t	PROPN
ajst-30192	115	66	,	,	PUNCT
ajst-30192	115	67	v	v	NOUN
ajst-30192	115	68	and	and	CCONJ
ajst-30192	115	69	cp	cp	PROPN
ajst-30192	115	70	are	be	AUX
ajst-30192	115	71	selected	select	VERB
ajst-30192	115	72	as	as	ADP
ajst-30192	115	73	the	the	DET
ajst-30192	115	74	feature	feature	NOUN
ajst-30192	115	75	space	space	NOUN
ajst-30192	115	76	.	.	PUNCT
ajst-30192	116	1	the	the	DET
ajst-30192	116	2	visual	visual	ADJ
ajst-30192	116	3	confusion	confusion	NOUN
ajst-30192	116	4	matrix	matrix	NOUN
ajst-30192	116	5	of	of	ADP
ajst-30192	116	6	the	the	DET
ajst-30192	116	7	model	model	NOUN
ajst-30192	116	8	is	be	AUX
ajst-30192	116	9	shown	show	VERB
ajst-30192	116	10	in	in	ADP
ajst-30192	116	11	figure	figure	NOUN
ajst-30192	116	12	11	11	NUM
ajst-30192	116	13	,	,	PUNCT
ajst-30192	116	14	and	and	CCONJ
ajst-30192	116	15	the	the	DET
ajst-30192	116	16	prediction	prediction	NOUN
ajst-30192	116	17	accuracy	accuracy	NOUN
ajst-30192	116	18	of	of	ADP
ajst-30192	116	19	the	the	DET
ajst-30192	116	20	sample	sample	NOUN
ajst-30192	116	21	is	be	AUX
ajst-30192	116	22	shown	show	VERB
ajst-30192	116	23	in	in	ADP
ajst-30192	116	24	table	table	NOUN
ajst-30192	116	25	3	3	NUM
ajst-30192	116	26	.	.	PUNCT
ajst-30192	117	1	it	it	PRON
ajst-30192	117	2	can	can	AUX
ajst-30192	117	3	be	be	AUX
ajst-30192	117	4	seen	see	VERB
ajst-30192	117	5	that	that	SCONJ
ajst-30192	117	6	the	the	DET
ajst-30192	117	7	recognition	recognition	NOUN
ajst-30192	117	8	accuracy	accuracy	NOUN
ajst-30192	117	9	of	of	ADP
ajst-30192	117	10	grade	grade	NOUN
ajst-30192	117	11	ii	ii	PROPN
ajst-30192	117	12	surrounding	surround	VERB
ajst-30192	117	13	rock	rock	NOUN
ajst-30192	117	14	is	be	AUX
ajst-30192	117	15	the	the	DET
ajst-30192	117	16	highest	high	ADJ
ajst-30192	117	17	,	,	PUNCT
ajst-30192	117	18	which	which	PRON
ajst-30192	117	19	is	be	AUX
ajst-30192	117	20	82.5	82.5	NUM
ajst-30192	117	21	%	%	NOUN
ajst-30192	117	22	.	.	PUNCT
ajst-30192	118	1	the	the	DET
ajst-30192	118	2	recognition	recognition	NOUN
ajst-30192	118	3	accuracy	accuracy	NOUN
ajst-30192	118	4	of	of	ADP
ajst-30192	118	5	surrounding	surround	VERB
ajst-30192	118	6	rock	rock	NOUN
ajst-30192	118	7	of	of	ADP
ajst-30192	118	8	grade	grade	PROPN
ajst-30192	118	9	iii	iii	PROPN
ajst-30192	118	10	is	be	AUX
ajst-30192	118	11	the	the	DET
ajst-30192	118	12	lowest	low	ADJ
ajst-30192	118	13	,	,	PUNCT
ajst-30192	118	14	which	which	PRON
ajst-30192	118	15	is	be	AUX
ajst-30192	118	16	70	70	NUM
ajst-30192	118	17	%	%	NOUN
ajst-30192	118	18	.	.	PUNCT
ajst-30192	119	1	after	after	ADP
ajst-30192	119	2	adding	add	VERB
ajst-30192	119	3	cp	cp	PROPN
ajst-30192	119	4	,	,	PUNCT
ajst-30192	119	5	the	the	DET
ajst-30192	119	6	total	total	ADJ
ajst-30192	119	7	accuracy	accuracy	NOUN
ajst-30192	119	8	of	of	ADP
ajst-30192	119	9	feature	feature	NOUN
ajst-30192	119	10	parameters	parameter	NOUN
ajst-30192	119	11	decreased	decrease	VERB
ajst-30192	119	12	to	to	ADP
ajst-30192	119	13	77.5	77.5	NUM
ajst-30192	119	14	%	%	NOUN
ajst-30192	119	15	,	,	PUNCT
ajst-30192	119	16	a	a	DET
ajst-30192	119	17	decrease	decrease	NOUN
ajst-30192	119	18	of	of	ADP
ajst-30192	119	19	18.75	18.75	NUM
ajst-30192	119	20	%	%	NOUN
ajst-30192	119	21	.	.	PUNCT
ajst-30192	120	1	it	it	PRON
ajst-30192	120	2	can	can	AUX
ajst-30192	120	3	be	be	AUX
ajst-30192	120	4	seen	see	VERB
ajst-30192	120	5	from	from	ADP
ajst-30192	120	6	the	the	DET
ajst-30192	120	7	figure	figure	NOUN
ajst-30192	120	8	that	that	SCONJ
ajst-30192	120	9	the	the	DET
ajst-30192	120	10	model	model	NOUN
ajst-30192	120	11	can	can	AUX
ajst-30192	120	12	not	not	PART
ajst-30192	120	13	well	well	ADV
ajst-30192	120	14	identify	identify	VERB
ajst-30192	120	15	grade	grade	PROPN
ajst-30192	120	16	ii	ii	PROPN
ajst-30192	120	17	and	and	CCONJ
ajst-30192	120	18	iii	iii	NUM
ajst-30192	120	19	surrounding	surround	VERB
ajst-30192	120	20	rocks	rock	NOUN
ajst-30192	120	21	,	,	PUNCT
ajst-30192	120	22	as	as	ADV
ajst-30192	120	23	well	well	ADV
ajst-30192	120	24	as	as	ADP
ajst-30192	120	25	grade	grade	NOUN
ajst-30192	120	26	iv	iv	NOUN
ajst-30192	120	27	and	and	CCONJ
ajst-30192	120	28	v	v	ADP
ajst-30192	120	29	surrounding	surround	VERB
ajst-30192	120	30	rocks	rock	NOUN
ajst-30192	120	31	.	.	PUNCT
ajst-30192	121	1	this	this	PRON
ajst-30192	121	2	is	be	AUX
ajst-30192	121	3	because	because	SCONJ
ajst-30192	121	4	the	the	DET
ajst-30192	121	5	newly	newly	ADV
ajst-30192	121	6	added	add	VERB
ajst-30192	121	7	characteristic	characteristic	ADJ
ajst-30192	121	8	parameter	parameter	NOUN
ajst-30192	121	9	cp	cp	PROPN
ajst-30192	121	10	has	have	VERB
ajst-30192	121	11	the	the	DET
ajst-30192	121	12	same	same	ADJ
ajst-30192	121	13	interval	interval	NOUN
ajst-30192	121	14	in	in	ADP
ajst-30192	121	15	these	these	DET
ajst-30192	121	16	four	four	NUM
ajst-30192	121	17	surrounding	surround	VERB
ajst-30192	121	18	rocks	rock	NOUN
ajst-30192	121	19	,	,	PUNCT
ajst-30192	121	20	and	and	CCONJ
ajst-30192	121	21	the	the	DET
ajst-30192	121	22	model	model	NOUN
ajst-30192	121	23	is	be	AUX
ajst-30192	121	24	difficult	difficult	ADJ
ajst-30192	121	25	to	to	PART
ajst-30192	121	26	identify	identify	VERB
ajst-30192	121	27	.	.	PUNCT
ajst-30192	122	1	figure	figure	VERB
ajst-30192	122	2	11	11	NUM
ajst-30192	122	3	.	.	PUNCT
ajst-30192	123	1	confusion	confusion	NOUN
ajst-30192	123	2	matrix	matrix	NOUN
ajst-30192	123	3	based	base	VERB
ajst-30192	123	4	on	on	ADP
ajst-30192	123	5	f	f	PROPN
ajst-30192	123	6	,	,	PUNCT
ajst-30192	123	7	n	n	CCONJ
ajst-30192	123	8	,	,	PUNCT
ajst-30192	123	9	t	t	PROPN
ajst-30192	123	10	,	,	PUNCT
ajst-30192	123	11	v	v	PROPN
ajst-30192	123	12	,	,	PUNCT
ajst-30192	123	13	cp	cp	NUM
ajst-30192	123	14	160	160	NUM
ajst-30192	123	15	table	table	NOUN
ajst-30192	123	16	3	3	NUM
ajst-30192	123	17	.	.	PUNCT
ajst-30192	123	18	prediction	prediction	NOUN
ajst-30192	123	19	effect	effect	NOUN
ajst-30192	123	20	table	table	NOUN
ajst-30192	123	21	based	base	VERB
ajst-30192	123	22	on	on	ADP
ajst-30192	123	23	f	f	PROPN
ajst-30192	123	24	,	,	PUNCT
ajst-30192	123	25	n	n	CCONJ
ajst-30192	123	26	,	,	PUNCT
ajst-30192	123	27	t	t	PROPN
ajst-30192	123	28	,	,	PUNCT
ajst-30192	123	29	cp	cp	NUM
ajst-30192	123	30	grade	grade	NOUN
ajst-30192	123	31	number	number	NOUN
ajst-30192	123	32	true	true	ADJ
ajst-30192	123	33	false	false	ADJ
ajst-30192	123	34	accuracy	accuracy	NOUN
ajst-30192	123	35	ii	ii	NOUN
ajst-30192	123	36	40	40	NUM
ajst-30192	123	37	36	36	NUM
ajst-30192	123	38	4	4	NUM
ajst-30192	123	39	90	90	NUM
ajst-30192	123	40	%	%	NOUN
ajst-30192	123	41	iii	iii	NUM
ajst-30192	123	42	40	40	NUM
ajst-30192	123	43	33	33	NUM
ajst-30192	123	44	7	7	NUM
ajst-30192	123	45	82.5	82.5	NUM
ajst-30192	123	46	%	%	NOUN
ajst-30192	123	47	iv	iv	NUM
ajst-30192	123	48	40	40	NUM
ajst-30192	123	49	34	34	NUM
ajst-30192	123	50	6	6	NUM
ajst-30192	123	51	85	85	NUM
ajst-30192	123	52	%	%	NOUN
ajst-30192	123	53	v	v	ADP
ajst-30192	123	54	40	40	NUM
ajst-30192	123	55	34	34	NUM
ajst-30192	123	56	6	6	NUM
ajst-30192	123	57	185	185	NUM
ajst-30192	123	58	%	%	NOUN
ajst-30192	123	59	in	in	ADP
ajst-30192	123	60	summary	summary	NOUN
ajst-30192	123	61	,	,	PUNCT
ajst-30192	123	62	through	through	ADP
ajst-30192	123	63	comparison	comparison	NOUN
ajst-30192	123	64	,	,	PUNCT
ajst-30192	123	65	it	it	PRON
ajst-30192	123	66	can	can	AUX
ajst-30192	123	67	be	be	AUX
ajst-30192	123	68	seen	see	VERB
ajst-30192	123	69	that	that	SCONJ
ajst-30192	123	70	the	the	DET
ajst-30192	123	71	model	model	NOUN
ajst-30192	123	72	learning	learn	VERB
ajst-30192	123	73	effect	effect	NOUN
ajst-30192	123	74	of	of	ADP
ajst-30192	123	75	selecting	select	VERB
ajst-30192	123	76	f	f	PROPN
ajst-30192	123	77	,	,	PUNCT
ajst-30192	123	78	n	n	CCONJ
ajst-30192	123	79	,	,	PUNCT
ajst-30192	123	80	t	t	PROPN
ajst-30192	123	81	,	,	PUNCT
ajst-30192	123	82	and	and	CCONJ
ajst-30192	123	83	v	v	NOUN
ajst-30192	123	84	as	as	SCONJ
ajst-30192	123	85	the	the	DET
ajst-30192	123	86	feature	feature	NOUN
ajst-30192	123	87	space	space	NOUN
ajst-30192	123	88	is	be	AUX
ajst-30192	123	89	better	well	ADJ
ajst-30192	123	90	,	,	PUNCT
ajst-30192	123	91	and	and	CCONJ
ajst-30192	123	92	it	it	PRON
ajst-30192	123	93	can	can	AUX
ajst-30192	123	94	better	well	ADV
ajst-30192	123	95	identify	identify	VERB
ajst-30192	123	96	the	the	DET
ajst-30192	123	97	surrounding	surround	VERB
ajst-30192	123	98	rock	rock	NOUN
ajst-30192	123	99	of	of	ADP
ajst-30192	123	100	each	each	DET
ajst-30192	123	101	grade	grade	NOUN
ajst-30192	123	102	.	.	PUNCT
ajst-30192	124	1	4	4	X
ajst-30192	124	2	.	.	X
ajst-30192	124	3	prediction	prediction	NOUN
ajst-30192	124	4	of	of	ADP
ajst-30192	124	5	surrounding	surround	VERB
ajst-30192	124	6	rock	rock	NOUN
ajst-30192	124	7	grade	grade	NOUN
ajst-30192	124	8	in	in	ADP
ajst-30192	124	9	shoushan	shoushan	NOUN
ajst-30192	124	10	no.1	no.1	VERB
ajst-30192	124	11	mine	mine	NOUN
ajst-30192	124	12	4.1	4.1	NUM
ajst-30192	124	13	.	.	PUNCT
ajst-30192	125	1	the	the	DET
ajst-30192	125	2	prediction	prediction	NOUN
ajst-30192	125	3	effect	effect	NOUN
ajst-30192	125	4	of	of	ADP
ajst-30192	125	5	xgboost	xgboost	PROPN
ajst-30192	125	6	model	model	PROPN
ajst-30192	125	7	a	a	DET
ajst-30192	125	8	total	total	NOUN
ajst-30192	125	9	of	of	ADP
ajst-30192	125	10	200	200	NUM
ajst-30192	125	11	sets	set	NOUN
ajst-30192	125	12	of	of	ADP
ajst-30192	125	13	representative	representative	ADJ
ajst-30192	125	14	data	datum	NOUN
ajst-30192	125	15	of	of	ADP
ajst-30192	125	16	shoushan	shoushan	NOUN
ajst-30192	125	17	no.1	no.1	VERB
ajst-30192	125	18	mine	mine	NOUN
ajst-30192	125	19	were	be	AUX
ajst-30192	125	20	selected	select	VERB
ajst-30192	125	21	,	,	PUNCT
ajst-30192	125	22	including	include	VERB
ajst-30192	125	23	50	50	NUM
ajst-30192	125	24	sets	set	NOUN
ajst-30192	125	25	of	of	ADP
ajst-30192	125	26	surrounding	surround	VERB
ajst-30192	125	27	rocks	rock	NOUN
ajst-30192	125	28	of	of	ADP
ajst-30192	125	29	grade	grade	PROPN
ajst-30192	125	30	ii	ii	PROPN
ajst-30192	125	31	,	,	PUNCT
ajst-30192	125	32	grade	grade	NOUN
ajst-30192	125	33	iii	iii	PROPN
ajst-30192	125	34	,	,	PUNCT
ajst-30192	125	35	grade	grade	NOUN
ajst-30192	125	36	iv	iv	NOUN
ajst-30192	125	37	and	and	CCONJ
ajst-30192	125	38	grade	grade	NOUN
ajst-30192	125	39	v	v	NOUN
ajst-30192	125	40	respectively	respectively	ADV
ajst-30192	125	41	.	.	PUNCT
ajst-30192	126	1	each	each	DET
ajst-30192	126	2	data	datum	NOUN
ajst-30192	126	3	statistics	statistic	NOUN
ajst-30192	126	4	and	and	CCONJ
ajst-30192	126	5	calculation	calculation	NOUN
ajst-30192	126	6	of	of	ADP
ajst-30192	126	7	the	the	DET
ajst-30192	126	8	six	six	NUM
ajst-30192	126	9	indicators	indicator	NOUN
ajst-30192	126	10	,	,	PUNCT
ajst-30192	126	11	including	include	VERB
ajst-30192	126	12	the	the	DET
ajst-30192	126	13	cutterhead	cutterhead	ADJ
ajst-30192	126	14	speed	speed	NOUN
ajst-30192	126	15	(	(	PUNCT
ajst-30192	126	16	n	n	NOUN
ajst-30192	126	17	)	)	PUNCT
ajst-30192	126	18	,	,	PUNCT
ajst-30192	126	19	driving	drive	VERB
ajst-30192	126	20	speed	speed	NOUN
ajst-30192	126	21	(	(	PUNCT
ajst-30192	126	22	v	v	NOUN
ajst-30192	126	23	)	)	PUNCT
ajst-30192	126	24	,	,	PUNCT
ajst-30192	126	25	cutterhead	cutterhead	PROPN
ajst-30192	126	26	thrust	thrust	NOUN
ajst-30192	126	27	(	(	PUNCT
ajst-30192	126	28	f	f	PROPN
ajst-30192	126	29	)	)	PUNCT
ajst-30192	126	30	,	,	PUNCT
ajst-30192	126	31	cutterhead	cutterhead	ADJ
ajst-30192	126	32	torque	torque	NOUN
ajst-30192	126	33	(	(	PUNCT
ajst-30192	126	34	t	t	NOUN
ajst-30192	126	35	)	)	PUNCT
ajst-30192	126	36	,	,	PUNCT
ajst-30192	126	37	penetration	penetration	NOUN
ajst-30192	126	38	(	(	PUNCT
ajst-30192	126	39	p	p	NOUN
ajst-30192	126	40	)	)	PUNCT
ajst-30192	126	41	and	and	CCONJ
ajst-30192	126	42	cutterhead	cutterhead	ADJ
ajst-30192	126	43	power	power	NOUN
ajst-30192	126	44	(	(	PUNCT
ajst-30192	126	45	cp	cp	INTJ
ajst-30192	126	46	)	)	PUNCT
ajst-30192	126	47	.	.	PUNCT
ajst-30192	127	1	among	among	ADP
ajst-30192	127	2	them	they	PRON
ajst-30192	127	3	,	,	PUNCT
ajst-30192	127	4	160	160	NUM
ajst-30192	127	5	sets	set	NOUN
ajst-30192	127	6	of	of	ADP
ajst-30192	127	7	data	datum	NOUN
ajst-30192	127	8	were	be	AUX
ajst-30192	127	9	randomly	randomly	ADV
ajst-30192	127	10	selected	select	VERB
ajst-30192	127	11	as	as	ADP
ajst-30192	127	12	training	training	NOUN
ajst-30192	127	13	samples	sample	NOUN
ajst-30192	127	14	[	[	X
ajst-30192	127	15	10	10	NUM
ajst-30192	127	16	]	]	PUNCT
ajst-30192	127	17	,	,	PUNCT
ajst-30192	127	18	40	40	NUM
ajst-30192	127	19	sets	set	NOUN
ajst-30192	127	20	as	as	ADP
ajst-30192	127	21	test	test	NOUN
ajst-30192	127	22	samples	sample	NOUN
ajst-30192	127	23	,	,	PUNCT
ajst-30192	127	24	and	and	CCONJ
ajst-30192	127	25	10	10	NUM
ajst-30192	127	26	sets	set	NOUN
ajst-30192	127	27	of	of	ADP
ajst-30192	127	28	tunneling	tunnel	VERB
ajst-30192	127	29	data	datum	NOUN
ajst-30192	127	30	were	be	AUX
ajst-30192	127	31	randomly	randomly	ADV
ajst-30192	127	32	selected	select	VERB
ajst-30192	127	33	as	as	ADP
ajst-30192	127	34	test	test	NOUN
ajst-30192	127	35	samples	sample	NOUN
ajst-30192	127	36	for	for	ADP
ajst-30192	127	37	each	each	DET
ajst-30192	127	38	surrounding	surround	VERB
ajst-30192	127	39	rock	rock	NOUN
ajst-30192	127	40	grade	grade	NOUN
ajst-30192	127	41	.	.	PUNCT
ajst-30192	128	1	the	the	DET
ajst-30192	128	2	confusion	confusion	NOUN
ajst-30192	128	3	matrix	matrix	NOUN
ajst-30192	128	4	obtained	obtain	VERB
ajst-30192	128	5	by	by	ADP
ajst-30192	128	6	using	use	VERB
ajst-30192	128	7	the	the	DET
ajst-30192	128	8	xgboost	xgboost	PROPN
ajst-30192	128	9	model	model	NOUN
ajst-30192	128	10	for	for	SCONJ
ajst-30192	128	11	the	the	DET
ajst-30192	128	12	test	test	NOUN
ajst-30192	128	13	samples	sample	NOUN
ajst-30192	128	14	is	be	AUX
ajst-30192	128	15	shown	show	VERB
ajst-30192	128	16	in	in	ADP
ajst-30192	128	17	figure	figure	NOUN
ajst-30192	128	18	12	12	NUM
ajst-30192	128	19	.	.	PUNCT
ajst-30192	129	1	from	from	ADP
ajst-30192	129	2	the	the	DET
ajst-30192	129	3	prediction	prediction	NOUN
ajst-30192	129	4	results	result	NOUN
ajst-30192	129	5	of	of	ADP
ajst-30192	129	6	the	the	DET
ajst-30192	129	7	test	test	NOUN
ajst-30192	129	8	samples	sample	NOUN
ajst-30192	129	9	,	,	PUNCT
ajst-30192	129	10	the	the	DET
ajst-30192	129	11	xgboost	xgboost	PROPN
ajst-30192	129	12	model	model	NOUN
ajst-30192	129	13	has	have	VERB
ajst-30192	129	14	high	high	ADJ
ajst-30192	129	15	prediction	prediction	NOUN
ajst-30192	129	16	accuracy	accuracy	NOUN
ajst-30192	129	17	,	,	PUNCT
ajst-30192	129	18	and	and	CCONJ
ajst-30192	129	19	the	the	DET
ajst-30192	129	20	total	total	ADJ
ajst-30192	129	21	accuracy	accuracy	NOUN
ajst-30192	129	22	rate	rate	NOUN
ajst-30192	129	23	reaches	reach	VERB
ajst-30192	129	24	95	95	NUM
ajst-30192	129	25	%	%	NOUN
ajst-30192	129	26	.	.	PUNCT
ajst-30192	130	1	therefore	therefore	ADV
ajst-30192	130	2	,	,	PUNCT
ajst-30192	130	3	in	in	ADP
ajst-30192	130	4	the	the	DET
ajst-30192	130	5	actual	actual	ADJ
ajst-30192	130	6	construction	construction	NOUN
ajst-30192	130	7	,	,	PUNCT
ajst-30192	130	8	as	as	ADV
ajst-30192	130	9	long	long	ADV
ajst-30192	130	10	as	as	SCONJ
ajst-30192	130	11	the	the	DET
ajst-30192	130	12	f	f	PROPN
ajst-30192	130	13	,	,	PUNCT
ajst-30192	130	14	n	n	CCONJ
ajst-30192	130	15	,	,	PUNCT
ajst-30192	130	16	t	t	PROPN
ajst-30192	130	17	and	and	CCONJ
ajst-30192	130	18	v	v	ADP
ajst-30192	130	19	data	datum	NOUN
ajst-30192	130	20	displayed	display	VERB
ajst-30192	130	21	in	in	ADP
ajst-30192	130	22	the	the	DET
ajst-30192	130	23	main	main	ADJ
ajst-30192	130	24	control	control	NOUN
ajst-30192	130	25	room	room	NOUN
ajst-30192	130	26	in	in	ADP
ajst-30192	130	27	real	real	ADJ
ajst-30192	130	28	time	time	NOUN
ajst-30192	130	29	during	during	ADP
ajst-30192	130	30	the	the	DET
ajst-30192	130	31	tbm	tbm	NOUN
ajst-30192	130	32	tunneling	tunneling	NOUN
ajst-30192	130	33	process	process	NOUN
ajst-30192	130	34	are	be	AUX
ajst-30192	130	35	input	input	VERB
ajst-30192	130	36	into	into	ADP
ajst-30192	130	37	the	the	DET
ajst-30192	130	38	model	model	NOUN
ajst-30192	130	39	,	,	PUNCT
ajst-30192	130	40	the	the	DET
ajst-30192	130	41	recognition	recognition	NOUN
ajst-30192	130	42	results	result	NOUN
ajst-30192	130	43	of	of	ADP
ajst-30192	130	44	the	the	DET
ajst-30192	130	45	surrounding	surround	VERB
ajst-30192	130	46	rock	rock	NOUN
ajst-30192	130	47	grade	grade	NOUN
ajst-30192	130	48	of	of	ADP
ajst-30192	130	49	the	the	DET
ajst-30192	130	50	tunneling	tunneling	NOUN
ajst-30192	130	51	face	face	NOUN
ajst-30192	130	52	can	can	AUX
ajst-30192	130	53	be	be	AUX
ajst-30192	130	54	automatically	automatically	ADV
ajst-30192	130	55	obtained	obtain	VERB
ajst-30192	130	56	in	in	ADP
ajst-30192	130	57	real	real	ADJ
ajst-30192	130	58	time	time	NOUN
ajst-30192	130	59	,	,	PUNCT
ajst-30192	130	60	so	so	SCONJ
ajst-30192	130	61	as	as	SCONJ
ajst-30192	130	62	to	to	PART
ajst-30192	130	63	guide	guide	VERB
ajst-30192	130	64	the	the	DET
ajst-30192	130	65	construction	construction	NOUN
ajst-30192	130	66	of	of	ADP
ajst-30192	130	67	tbm	tbm	PROPN
ajst-30192	130	68	.	.	PUNCT
ajst-30192	130	69	figure	figure	NOUN
ajst-30192	130	70	12	12	NUM
ajst-30192	130	71	.	.	PUNCT
ajst-30192	131	1	xgboost	xgboost	PROPN
ajst-30192	131	2	model	model	NOUN
ajst-30192	131	3	confusion	confusion	NOUN
ajst-30192	131	4	matrix	matrix	NOUN
ajst-30192	131	5	4.2	4.2	NUM
ajst-30192	131	6	.	.	PUNCT
ajst-30192	132	1	comparison	comparison	NOUN
ajst-30192	132	2	of	of	ADP
ajst-30192	132	3	prediction	prediction	NOUN
ajst-30192	132	4	effects	effect	NOUN
ajst-30192	132	5	of	of	ADP
ajst-30192	132	6	different	different	ADJ
ajst-30192	132	7	models	model	NOUN
ajst-30192	132	8	4.2.1	4.2.1	NUM
ajst-30192	132	9	.	.	PUNCT
ajst-30192	133	1	k	k	X
ajst-30192	133	2	-	-	PUNCT
ajst-30192	133	3	nearest	near	ADJ
ajst-30192	133	4	neighbor	neighbor	NOUN
ajst-30192	133	5	model	model	NOUN
ajst-30192	133	6	the	the	DET
ajst-30192	133	7	k	k	NOUN
ajst-30192	133	8	-	-	PUNCT
ajst-30192	133	9	nearest	near	ADJ
ajst-30192	133	10	neighbors	neighbor	NOUN
ajst-30192	133	11	(	(	PUNCT
ajst-30192	133	12	knn	knn	PROPN
ajst-30192	133	13	)	)	PUNCT
ajst-30192	133	14	model	model	NOUN
ajst-30192	133	15	is	be	AUX
ajst-30192	133	16	an	an	DET
ajst-30192	133	17	instancebased	instancebase	VERB
ajst-30192	133	18	learning	learn	VERB
ajst-30192	133	19	algorithm	algorithm	NOUN
ajst-30192	133	20	commonly	commonly	ADV
ajst-30192	133	21	used	use	VERB
ajst-30192	133	22	for	for	ADP
ajst-30192	133	23	classification	classification	NOUN
ajst-30192	133	24	tasks	task	NOUN
ajst-30192	133	25	.	.	PUNCT
ajst-30192	134	1	its	its	PRON
ajst-30192	134	2	basic	basic	ADJ
ajst-30192	134	3	idea	idea	NOUN
ajst-30192	134	4	is	be	AUX
ajst-30192	134	5	to	to	PART
ajst-30192	134	6	find	find	VERB
ajst-30192	134	7	the	the	DET
ajst-30192	134	8	nearest	near	ADJ
ajst-30192	134	9	k	k	NOUN
ajst-30192	134	10	training	training	NOUN
ajst-30192	134	11	samples	sample	NOUN
ajst-30192	134	12	by	by	ADP
ajst-30192	134	13	calculating	calculate	VERB
ajst-30192	134	14	the	the	DET
ajst-30192	134	15	distance	distance	NOUN
ajst-30192	134	16	between	between	ADP
ajst-30192	134	17	the	the	DET
ajst-30192	134	18	test	test	NOUN
ajst-30192	134	19	sample	sample	NOUN
ajst-30192	134	20	and	and	CCONJ
ajst-30192	134	21	other	other	ADJ
ajst-30192	134	22	samples	sample	NOUN
ajst-30192	134	23	in	in	ADP
ajst-30192	134	24	the	the	DET
ajst-30192	134	25	training	training	NOUN
ajst-30192	134	26	set	set	NOUN
ajst-30192	134	27	,	,	PUNCT
ajst-30192	134	28	and	and	CCONJ
ajst-30192	134	29	predict	predict	VERB
ajst-30192	134	30	the	the	DET
ajst-30192	134	31	results	result	NOUN
ajst-30192	134	32	of	of	ADP
ajst-30192	134	33	the	the	DET
ajst-30192	134	34	test	test	NOUN
ajst-30192	134	35	sample	sample	NOUN
ajst-30192	134	36	according	accord	VERB
ajst-30192	134	37	to	to	ADP
ajst-30192	134	38	the	the	DET
ajst-30192	134	39	category	category	NOUN
ajst-30192	134	40	or	or	CCONJ
ajst-30192	134	41	attribute	attribute	NOUN
ajst-30192	134	42	of	of	ADP
ajst-30192	134	43	these	these	DET
ajst-30192	134	44	neighbors	neighbor	NOUN
ajst-30192	134	45	.	.	PUNCT
ajst-30192	135	1	specifically	specifically	ADV
ajst-30192	135	2	,	,	PUNCT
ajst-30192	135	3	knn	knn	PROPN
ajst-30192	135	4	will	will	AUX
ajst-30192	135	5	calculate	calculate	VERB
ajst-30192	135	6	the	the	DET
ajst-30192	135	7	distance	distance	NOUN
ajst-30192	135	8	between	between	ADP
ajst-30192	135	9	the	the	DET
ajst-30192	135	10	test	test	NOUN
ajst-30192	135	11	sample	sample	NOUN
ajst-30192	135	12	and	and	CCONJ
ajst-30192	135	13	all	all	DET
ajst-30192	135	14	training	training	NOUN
ajst-30192	135	15	samples	sample	NOUN
ajst-30192	135	16	(	(	PUNCT
ajst-30192	135	17	such	such	ADJ
ajst-30192	135	18	as	as	ADP
ajst-30192	135	19	euclidean	euclidean	ADJ
ajst-30192	135	20	distance	distance	NOUN
ajst-30192	135	21	)	)	PUNCT
ajst-30192	135	22	,	,	PUNCT
ajst-30192	135	23	and	and	CCONJ
ajst-30192	135	24	then	then	ADV
ajst-30192	135	25	select	select	VERB
ajst-30192	135	26	the	the	DET
ajst-30192	135	27	nearest	near	ADJ
ajst-30192	135	28	k	k	NOUN
ajst-30192	135	29	training	training	NOUN
ajst-30192	135	30	samples	sample	NOUN
ajst-30192	135	31	.	.	PUNCT
ajst-30192	136	1	the	the	DET
ajst-30192	136	2	prediction	prediction	NOUN
ajst-30192	136	3	results	result	NOUN
ajst-30192	136	4	are	be	AUX
ajst-30192	136	5	usually	usually	ADV
ajst-30192	136	6	the	the	DET
ajst-30192	136	7	most	most	ADV
ajst-30192	136	8	frequent	frequent	ADJ
ajst-30192	136	9	categories	category	NOUN
ajst-30192	136	10	in	in	ADP
ajst-30192	136	11	these	these	DET
ajst-30192	136	12	k	k	PROPN
ajst-30192	136	13	samples	sample	NOUN
ajst-30192	136	14	[	[	X
ajst-30192	136	15	11	11	NUM
ajst-30192	136	16	]	]	PUNCT
ajst-30192	136	17	.	.	PUNCT
ajst-30192	137	1	the	the	DET
ajst-30192	137	2	advantage	advantage	NOUN
ajst-30192	137	3	of	of	ADP
ajst-30192	137	4	the	the	DET
ajst-30192	137	5	knearest	knearest	NOUN
ajst-30192	137	6	neighbor	neighbor	NOUN
ajst-30192	137	7	model	model	NOUN
ajst-30192	137	8	is	be	AUX
ajst-30192	137	9	simple	simple	ADJ
ajst-30192	137	10	and	and	CCONJ
ajst-30192	137	11	intuitive	intuitive	ADJ
ajst-30192	137	12	,	,	PUNCT
ajst-30192	137	13	and	and	CCONJ
ajst-30192	137	14	does	do	AUX
ajst-30192	137	15	not	not	PART
ajst-30192	137	16	require	require	VERB
ajst-30192	137	17	a	a	DET
ajst-30192	137	18	complex	complex	ADJ
ajst-30192	137	19	training	training	NOUN
ajst-30192	137	20	process	process	NOUN
ajst-30192	137	21	,	,	PUNCT
ajst-30192	137	22	but	but	CCONJ
ajst-30192	137	23	its	its	PRON
ajst-30192	137	24	computational	computational	ADJ
ajst-30192	137	25	complexity	complexity	NOUN
ajst-30192	137	26	is	be	AUX
ajst-30192	137	27	high	high	ADJ
ajst-30192	137	28	,	,	PUNCT
ajst-30192	137	29	especially	especially	ADV
ajst-30192	137	30	on	on	ADP
ajst-30192	137	31	large	large	ADJ
ajst-30192	137	32	data	datum	NOUN
ajst-30192	137	33	sets	set	NOUN
ajst-30192	137	34	.	.	PUNCT
ajst-30192	138	1	the	the	DET
ajst-30192	138	2	confusion	confusion	NOUN
ajst-30192	138	3	matrix	matrix	NOUN
ajst-30192	138	4	obtained	obtain	VERB
ajst-30192	138	5	by	by	ADP
ajst-30192	138	6	using	use	VERB
ajst-30192	138	7	the	the	DET
ajst-30192	138	8	k	k	NOUN
ajst-30192	138	9	-	-	PUNCT
ajst-30192	138	10	nearest	near	ADJ
ajst-30192	138	11	neighbor	neighbor	NOUN
ajst-30192	138	12	model	model	NOUN
ajst-30192	138	13	for	for	SCONJ
ajst-30192	138	14	the	the	DET
ajst-30192	138	15	test	test	NOUN
ajst-30192	138	16	samples	sample	NOUN
ajst-30192	138	17	is	be	AUX
ajst-30192	138	18	shown	show	VERB
ajst-30192	138	19	in	in	ADP
ajst-30192	138	20	figure	figure	NOUN
ajst-30192	138	21	13	13	NUM
ajst-30192	138	22	.	.	PUNCT
ajst-30192	138	23	figure	figure	VERB
ajst-30192	138	24	13	13	NUM
ajst-30192	138	25	.	.	PUNCT
ajst-30192	139	1	k	k	X
ajst-30192	139	2	-	-	PUNCT
ajst-30192	139	3	nearest	near	ADJ
ajst-30192	139	4	neighbor	neighbor	NOUN
ajst-30192	139	5	model	model	NOUN
ajst-30192	139	6	confusion	confusion	NOUN
ajst-30192	139	7	moment	moment	NOUN
ajst-30192	139	8	4.2.2	4.2.2	X
ajst-30192	139	9	.	.	PUNCT
ajst-30192	140	1	support	support	NOUN
ajst-30192	140	2	vector	vector	NOUN
ajst-30192	140	3	machine	machine	NOUN
ajst-30192	140	4	model	model	NOUN
ajst-30192	140	5	(	(	PUNCT
ajst-30192	140	6	svm	svm	PROPN
ajst-30192	140	7	)	)	PUNCT
ajst-30192	140	8	support	support	NOUN
ajst-30192	140	9	vector	vector	NOUN
ajst-30192	140	10	machine	machine	NOUN
ajst-30192	140	11	(	(	PUNCT
ajst-30192	140	12	svm	svm	PROPN
ajst-30192	140	13	)	)	PUNCT
ajst-30192	140	14	is	be	AUX
ajst-30192	140	15	a	a	DET
ajst-30192	140	16	supervised	supervised	ADJ
ajst-30192	140	17	learning	learning	NOUN
ajst-30192	140	18	algorithm	algorithm	NOUN
ajst-30192	140	19	,	,	PUNCT
ajst-30192	140	20	which	which	PRON
ajst-30192	140	21	is	be	AUX
ajst-30192	140	22	often	often	ADV
ajst-30192	140	23	used	use	VERB
ajst-30192	140	24	in	in	ADP
ajst-30192	140	25	classification	classification	NOUN
ajst-30192	140	26	tasks	task	NOUN
ajst-30192	140	27	.	.	PUNCT
ajst-30192	141	1	its	its	PRON
ajst-30192	141	2	core	core	ADJ
ajst-30192	141	3	idea	idea	NOUN
ajst-30192	141	4	is	be	AUX
ajst-30192	141	5	to	to	PART
ajst-30192	141	6	find	find	VERB
ajst-30192	141	7	a	a	DET
ajst-30192	141	8	hyperplane	hyperplane	NOUN
ajst-30192	141	9	,	,	PUNCT
ajst-30192	141	10	divide	divide	VERB
ajst-30192	141	11	the	the	DET
ajst-30192	141	12	data	data	NOUN
ajst-30192	141	13	points	point	NOUN
ajst-30192	141	14	into	into	ADP
ajst-30192	141	15	two	two	NUM
ajst-30192	141	16	categories	category	NOUN
ajst-30192	141	17	,	,	PUNCT
ajst-30192	141	18	and	and	CCONJ
ajst-30192	141	19	make	make	VERB
ajst-30192	141	20	the	the	DET
ajst-30192	141	21	hyperplane	hyperplane	NOUN
ajst-30192	141	22	as	as	ADV
ajst-30192	141	23	far	far	ADV
ajst-30192	141	24	away	away	ADV
ajst-30192	141	25	from	from	ADP
ajst-30192	141	26	the	the	DET
ajst-30192	141	27	data	data	NOUN
ajst-30192	141	28	points	point	NOUN
ajst-30192	141	29	as	as	ADP
ajst-30192	141	30	possible	possible	ADJ
ajst-30192	141	31	,	,	PUNCT
ajst-30192	141	32	so	so	SCONJ
ajst-30192	141	33	as	as	SCONJ
ajst-30192	141	34	to	to	PART
ajst-30192	141	35	improve	improve	VERB
ajst-30192	141	36	the	the	DET
ajst-30192	141	37	generalization	generalization	NOUN
ajst-30192	141	38	ability	ability	NOUN
ajst-30192	141	39	.	.	PUNCT
ajst-30192	142	1	specifically	specifically	ADV
ajst-30192	142	2	,	,	PUNCT
ajst-30192	142	3	svm	svm	PROPN
ajst-30192	142	4	selects	select	VERB
ajst-30192	142	5	the	the	DET
ajst-30192	142	6	optimal	optimal	ADJ
ajst-30192	142	7	hyperplane	hyperplane	NOUN
ajst-30192	142	8	by	by	ADP
ajst-30192	142	9	maximizing	maximize	VERB
ajst-30192	142	10	margins	margin	NOUN
ajst-30192	142	11	,	,	PUNCT
ajst-30192	142	12	where	where	SCONJ
ajst-30192	142	13	margin	margin	NOUN
ajst-30192	142	14	is	be	AUX
ajst-30192	142	15	the	the	DET
ajst-30192	142	16	distance	distance	NOUN
ajst-30192	142	17	from	from	ADP
ajst-30192	142	18	the	the	DET
ajst-30192	142	19	nearest	near	ADJ
ajst-30192	142	20	data	data	NOUN
ajst-30192	142	21	point	point	NOUN
ajst-30192	142	22	on	on	ADP
ajst-30192	142	23	both	both	DET
ajst-30192	142	24	sides	side	NOUN
ajst-30192	142	25	of	of	ADP
ajst-30192	142	26	the	the	DET
ajst-30192	142	27	hyperplane	hyperplane	NOUN
ajst-30192	142	28	to	to	ADP
ajst-30192	142	29	the	the	DET
ajst-30192	142	30	hyperplane	hyperplane	NOUN
ajst-30192	142	31	.	.	PUNCT
ajst-30192	143	1	for	for	ADP
ajst-30192	143	2	linearly	linearly	ADV
ajst-30192	143	3	separable	separable	ADJ
ajst-30192	143	4	data	datum	NOUN
ajst-30192	143	5	,	,	PUNCT
ajst-30192	143	6	svm	svm	PROPN
ajst-30192	143	7	directly	directly	ADV
ajst-30192	143	8	finds	find	VERB
ajst-30192	143	9	a	a	DET
ajst-30192	143	10	hyperplane	hyperplane	NOUN
ajst-30192	143	11	;	;	PUNCT
ajst-30192	143	12	for	for	ADP
ajst-30192	143	13	nonlinear	nonlinear	ADJ
ajst-30192	143	14	data	datum	NOUN
ajst-30192	143	15	,	,	PUNCT
ajst-30192	143	16	svm	svm	PROPN
ajst-30192	143	17	maps	map	NOUN
ajst-30192	143	18	data	datum	NOUN
ajst-30192	143	19	to	to	ADP
ajst-30192	143	20	highdimensional	highdimensional	ADJ
ajst-30192	143	21	space	space	NOUN
ajst-30192	143	22	through	through	ADP
ajst-30192	143	23	kernel	kernel	PROPN
ajst-30192	143	24	trick	trick	NOUN
ajst-30192	143	25	,	,	PUNCT
ajst-30192	143	26	so	so	SCONJ
ajst-30192	143	27	that	that	SCONJ
ajst-30192	143	28	a	a	DET
ajst-30192	143	29	linear	linear	ADJ
ajst-30192	143	30	hyperplane	hyperplane	NOUN
ajst-30192	143	31	can	can	AUX
ajst-30192	143	32	be	be	AUX
ajst-30192	143	33	found	find	VERB
ajst-30192	143	34	in	in	ADP
ajst-30192	143	35	high	high	ADJ
ajst-30192	143	36	-	-	PUNCT
ajst-30192	143	37	dimensional	dimensional	ADJ
ajst-30192	143	38	spacebelow	spacebelow	NOUN
ajst-30192	143	39	.	.	PUNCT
ajst-30192	144	1	the	the	DET
ajst-30192	144	2	advantages	advantage	NOUN
ajst-30192	144	3	of	of	ADP
ajst-30192	144	4	svm	svm	PROPN
ajst-30192	144	5	include	include	VERB
ajst-30192	144	6	:	:	PUNCT
ajst-30192	144	7	efficient	efficient	ADJ
ajst-30192	144	8	processing	processing	NOUN
ajst-30192	144	9	of	of	ADP
ajst-30192	144	10	small	small	ADJ
ajst-30192	144	11	data	datum	NOUN
ajst-30192	144	12	sets	set	NOUN
ajst-30192	144	13	;	;	PUNCT
ajst-30192	144	14	it	it	PRON
ajst-30192	144	15	performs	perform	VERB
ajst-30192	144	16	well	well	ADV
ajst-30192	144	17	in	in	ADP
ajst-30192	144	18	high	high	ADJ
ajst-30192	144	19	-	-	PUNCT
ajst-30192	144	20	dimensional	dimensional	ADJ
ajst-30192	144	21	space	space	NOUN
ajst-30192	144	22	;	;	PUNCT
ajst-30192	144	23	it	it	PRON
ajst-30192	144	24	has	have	VERB
ajst-30192	144	25	good	good	ADJ
ajst-30192	144	26	robustness	robustness	NOUN
ajst-30192	144	27	to	to	ADP
ajst-30192	144	28	noise	noise	NOUN
ajst-30192	144	29	and	and	CCONJ
ajst-30192	144	30	outliers	outlier	NOUN
ajst-30192	144	31	;	;	PUNCT
ajst-30192	144	32	has	have	VERB
ajst-30192	144	33	a	a	DET
ajst-30192	144	34	clear	clear	ADJ
ajst-30192	144	35	geometric	geometric	ADJ
ajst-30192	144	36	explanation	explanation	NOUN
ajst-30192	144	37	.	.	PUNCT
ajst-30192	145	1	the	the	DET
ajst-30192	145	2	predicted	predict	VERB
ajst-30192	145	3	results	result	NOUN
ajst-30192	145	4	are	be	AUX
ajst-30192	145	5	shown	show	VERB
ajst-30192	145	6	in	in	ADP
ajst-30192	145	7	figure	figure	NOUN
ajst-30192	145	8	14	14	NUM
ajst-30192	145	9	.	.	PUNCT
ajst-30192	146	1	figure	figure	NOUN
ajst-30192	146	2	14	14	NUM
ajst-30192	146	3	.	.	PUNCT
ajst-30192	147	1	svm	svm	PROPN
ajst-30192	147	2	model	model	NOUN
ajst-30192	147	3	confusion	confusion	NOUN
ajst-30192	147	4	matrix	matrix	NOUN
ajst-30192	147	5	161	161	NUM
ajst-30192	147	6	4.2.3	4.2.3	NUM
ajst-30192	147	7	.	.	PUNCT
ajst-30192	148	1	random	random	ADJ
ajst-30192	148	2	forest	forest	NOUN
ajst-30192	148	3	model	model	NOUN
ajst-30192	148	4	(	(	PUNCT
ajst-30192	148	5	rf	rf	NOUN
ajst-30192	148	6	)	)	PUNCT
ajst-30192	148	7	the	the	DET
ajst-30192	148	8	random	random	ADJ
ajst-30192	148	9	forest	forest	NOUN
ajst-30192	148	10	model	model	NOUN
ajst-30192	148	11	is	be	AUX
ajst-30192	148	12	an	an	DET
ajst-30192	148	13	ensemble	ensemble	ADJ
ajst-30192	148	14	learning	learning	NOUN
ajst-30192	148	15	algorithm	algorithm	NOUN
ajst-30192	148	16	based	base	VERB
ajst-30192	148	17	on	on	ADP
ajst-30192	148	18	decision	decision	NOUN
ajst-30192	148	19	tree	tree	NOUN
ajst-30192	148	20	for	for	ADP
ajst-30192	148	21	classification	classification	NOUN
ajst-30192	148	22	and	and	CCONJ
ajst-30192	148	23	regression	regression	NOUN
ajst-30192	148	24	tasks	task	NOUN
ajst-30192	148	25	.	.	PUNCT
ajst-30192	149	1	its	its	PRON
ajst-30192	149	2	core	core	ADJ
ajst-30192	149	3	idea	idea	NOUN
ajst-30192	149	4	is	be	AUX
ajst-30192	149	5	to	to	PART
ajst-30192	149	6	improve	improve	VERB
ajst-30192	149	7	the	the	DET
ajst-30192	149	8	accuracy	accuracy	NOUN
ajst-30192	149	9	and	and	CCONJ
ajst-30192	149	10	stability	stability	NOUN
ajst-30192	149	11	of	of	ADP
ajst-30192	149	12	the	the	DET
ajst-30192	149	13	model	model	NOUN
ajst-30192	149	14	by	by	ADP
ajst-30192	149	15	constructing	construct	VERB
ajst-30192	149	16	multiple	multiple	ADJ
ajst-30192	149	17	decision	decision	NOUN
ajst-30192	149	18	trees	tree	NOUN
ajst-30192	149	19	and	and	CCONJ
ajst-30192	149	20	combining	combine	VERB
ajst-30192	149	21	their	their	PRON
ajst-30192	149	22	prediction	prediction	NOUN
ajst-30192	149	23	results	result	NOUN
ajst-30192	149	24	.	.	PUNCT
ajst-30192	150	1	specifically	specifically	ADV
ajst-30192	150	2	,	,	PUNCT
ajst-30192	150	3	the	the	DET
ajst-30192	150	4	random	random	ADJ
ajst-30192	150	5	forest	forest	NOUN
ajst-30192	150	6	works	work	VERB
ajst-30192	150	7	through	through	ADP
ajst-30192	150	8	the	the	DET
ajst-30192	150	9	following	follow	VERB
ajst-30192	150	10	steps	step	NOUN
ajst-30192	150	11	:	:	PUNCT
ajst-30192	150	12	random	random	ADJ
ajst-30192	150	13	sampling	sampling	NOUN
ajst-30192	150	14	:	:	PUNCT
ajst-30192	150	15	randomly	randomly	ADV
ajst-30192	150	16	extract	extract	VERB
ajst-30192	150	17	multiple	multiple	ADJ
ajst-30192	150	18	subsets	subset	NOUN
ajst-30192	150	19	from	from	ADP
ajst-30192	150	20	the	the	DET
ajst-30192	150	21	training	training	NOUN
ajst-30192	150	22	set	set	NOUN
ajst-30192	150	23	.	.	PUNCT
ajst-30192	151	1	constructing	construct	VERB
ajst-30192	151	2	a	a	DET
ajst-30192	151	3	decision	decision	NOUN
ajst-30192	151	4	tree	tree	NOUN
ajst-30192	151	5	:	:	PUNCT
ajst-30192	151	6	for	for	ADP
ajst-30192	151	7	each	each	DET
ajst-30192	151	8	subset	subset	NOUN
ajst-30192	151	9	,	,	PUNCT
ajst-30192	151	10	a	a	DET
ajst-30192	151	11	decision	decision	NOUN
ajst-30192	151	12	tree	tree	NOUN
ajst-30192	151	13	is	be	AUX
ajst-30192	151	14	constructed	construct	VERB
ajst-30192	151	15	using	use	VERB
ajst-30192	151	16	a	a	DET
ajst-30192	151	17	random	random	ADJ
ajst-30192	151	18	subset	subset	NOUN
ajst-30192	151	19	of	of	ADP
ajst-30192	151	20	features	feature	NOUN
ajst-30192	151	21	.	.	PUNCT
ajst-30192	152	1	voting	voting	NOUN
ajst-30192	152	2	:	:	PUNCT
ajst-30192	152	3	for	for	ADP
ajst-30192	152	4	the	the	DET
ajst-30192	152	5	classification	classification	NOUN
ajst-30192	152	6	task	task	NOUN
ajst-30192	152	7	,	,	PUNCT
ajst-30192	152	8	the	the	DET
ajst-30192	152	9	random	random	ADJ
ajst-30192	152	10	forest	forest	NOUN
ajst-30192	152	11	determines	determine	VERB
ajst-30192	152	12	the	the	DET
ajst-30192	152	13	final	final	ADJ
ajst-30192	152	14	category	category	NOUN
ajst-30192	152	15	by	by	ADP
ajst-30192	152	16	voting	vote	VERB
ajst-30192	152	17	.	.	PUNCT
ajst-30192	153	1	the	the	DET
ajst-30192	153	2	advantages	advantage	NOUN
ajst-30192	153	3	of	of	ADP
ajst-30192	153	4	random	random	ADJ
ajst-30192	153	5	forests	forest	NOUN
ajst-30192	153	6	include	include	VERB
ajst-30192	153	7	:	:	PUNCT
ajst-30192	153	8	high	high	ADJ
ajst-30192	153	9	accuracy	accuracy	NOUN
ajst-30192	153	10	:	:	PUNCT
ajst-30192	153	11	by	by	ADP
ajst-30192	153	12	integrating	integrate	VERB
ajst-30192	153	13	multiple	multiple	ADJ
ajst-30192	153	14	decision	decision	NOUN
ajst-30192	153	15	trees	tree	NOUN
ajst-30192	153	16	,	,	PUNCT
ajst-30192	153	17	random	random	ADJ
ajst-30192	153	18	forests	forest	NOUN
ajst-30192	153	19	usually	usually	ADV
ajst-30192	153	20	perform	perform	VERB
ajst-30192	153	21	better	well	ADJ
ajst-30192	153	22	than	than	ADP
ajst-30192	153	23	single	single	ADJ
ajst-30192	153	24	decision	decision	NOUN
ajst-30192	153	25	trees	tree	NOUN
ajst-30192	153	26	.	.	PUNCT
ajst-30192	154	1	high	high	ADJ
ajst-30192	154	2	stability	stability	NOUN
ajst-30192	154	3	:	:	PUNCT
ajst-30192	154	4	strong	strong	ADJ
ajst-30192	154	5	robustness	robustness	NOUN
ajst-30192	154	6	to	to	ADP
ajst-30192	154	7	noise	noise	NOUN
ajst-30192	154	8	and	and	CCONJ
ajst-30192	154	9	outliers	outlier	NOUN
ajst-30192	154	10	.	.	PUNCT
ajst-30192	155	1	the	the	DET
ajst-30192	155	2	prediction	prediction	NOUN
ajst-30192	155	3	results	result	NOUN
ajst-30192	155	4	are	be	AUX
ajst-30192	155	5	shown	show	VERB
ajst-30192	155	6	in	in	ADP
ajst-30192	155	7	figure	figure	NOUN
ajst-30192	155	8	15	15	NUM
ajst-30192	155	9	.	.	PUNCT
ajst-30192	156	1	figure	figure	NOUN
ajst-30192	156	2	15	15	NUM
ajst-30192	156	3	.	.	PUNCT
ajst-30192	157	1	confusion	confusion	NOUN
ajst-30192	157	2	matrix	matrix	NOUN
ajst-30192	157	3	of	of	ADP
ajst-30192	157	4	rf	rf	NOUN
ajst-30192	157	5	model	model	NOUN
ajst-30192	157	6	4.2.4	4.2.4	NUM
ajst-30192	157	7	.	.	PUNCT
ajst-30192	158	1	comparison	comparison	NOUN
ajst-30192	158	2	of	of	ADP
ajst-30192	158	3	model	model	NOUN
ajst-30192	158	4	prediction	prediction	NOUN
ajst-30192	158	5	results	result	NOUN
ajst-30192	158	6	in	in	ADP
ajst-30192	158	7	figure	figure	NOUN
ajst-30192	158	8	16	16	NUM
ajst-30192	158	9	,	,	PUNCT
ajst-30192	158	10	the	the	DET
ajst-30192	158	11	prediction	prediction	NOUN
ajst-30192	158	12	results	result	NOUN
ajst-30192	158	13	of	of	ADP
ajst-30192	158	14	four	four	NUM
ajst-30192	158	15	different	different	ADJ
ajst-30192	158	16	models	model	NOUN
ajst-30192	158	17	,	,	PUNCT
ajst-30192	158	18	xgboost	xgboost	ADV
ajst-30192	158	19	,	,	PUNCT
ajst-30192	158	20	k	k	ADJ
ajst-30192	158	21	-	-	PUNCT
ajst-30192	158	22	nearest	near	ADJ
ajst-30192	158	23	neighbor	neighbor	NOUN
ajst-30192	158	24	,	,	PUNCT
ajst-30192	158	25	svm	svm	NOUN
ajst-30192	158	26	and	and	CCONJ
ajst-30192	158	27	rf	rf	NOUN
ajst-30192	158	28	,	,	PUNCT
ajst-30192	158	29	are	be	AUX
ajst-30192	158	30	compared	compare	VERB
ajst-30192	158	31	.	.	PUNCT
ajst-30192	159	1	it	it	PRON
ajst-30192	159	2	can	can	AUX
ajst-30192	159	3	be	be	AUX
ajst-30192	159	4	found	find	VERB
ajst-30192	159	5	that	that	SCONJ
ajst-30192	159	6	compared	compare	VERB
ajst-30192	159	7	with	with	ADP
ajst-30192	159	8	other	other	ADJ
ajst-30192	159	9	grades	grade	NOUN
ajst-30192	159	10	of	of	ADP
ajst-30192	159	11	surrounding	surround	VERB
ajst-30192	159	12	rock	rock	NOUN
ajst-30192	159	13	,	,	PUNCT
ajst-30192	159	14	the	the	DET
ajst-30192	159	15	average	average	ADJ
ajst-30192	159	16	accuracy	accuracy	NOUN
ajst-30192	159	17	of	of	ADP
ajst-30192	159	18	the	the	DET
ajst-30192	159	19	four	four	NUM
ajst-30192	159	20	models	model	NOUN
ajst-30192	159	21	for	for	ADP
ajst-30192	159	22	the	the	DET
ajst-30192	159	23	prediction	prediction	NOUN
ajst-30192	159	24	of	of	ADP
ajst-30192	159	25	grade	grade	NOUN
ajst-30192	159	26	iv	iv	ADP
ajst-30192	159	27	surrounding	surround	VERB
ajst-30192	159	28	rock	rock	NOUN
ajst-30192	159	29	is	be	AUX
ajst-30192	159	30	low	low	ADJ
ajst-30192	159	31	,	,	PUNCT
ajst-30192	159	32	and	and	CCONJ
ajst-30192	159	33	the	the	DET
ajst-30192	159	34	prediction	prediction	NOUN
ajst-30192	159	35	accuracy	accuracy	NOUN
ajst-30192	159	36	of	of	ADP
ajst-30192	159	37	grade	grade	NOUN
ajst-30192	159	38	iii	iii	NOUN
ajst-30192	159	39	surrounding	surround	VERB
ajst-30192	159	40	rock	rock	NOUN
ajst-30192	159	41	is	be	AUX
ajst-30192	159	42	the	the	DET
ajst-30192	159	43	highest	high	ADJ
ajst-30192	159	44	.	.	PUNCT
ajst-30192	160	1	the	the	DET
ajst-30192	160	2	xgboost	xgboost	PROPN
ajst-30192	160	3	model	model	NOUN
ajst-30192	160	4	has	have	VERB
ajst-30192	160	5	the	the	DET
ajst-30192	160	6	best	good	ADJ
ajst-30192	160	7	prediction	prediction	NOUN
ajst-30192	160	8	effect	effect	NOUN
ajst-30192	160	9	in	in	ADP
ajst-30192	160	10	v	v	NOUN
ajst-30192	160	11	-	-	PUNCT
ajst-30192	160	12	grade	grade	NOUN
ajst-30192	160	13	surrounding	surround	VERB
ajst-30192	160	14	rock	rock	NOUN
ajst-30192	160	15	,	,	PUNCT
ajst-30192	160	16	which	which	PRON
ajst-30192	160	17	is	be	AUX
ajst-30192	160	18	much	much	ADV
ajst-30192	160	19	higher	high	ADJ
ajst-30192	160	20	than	than	ADP
ajst-30192	160	21	other	other	ADJ
ajst-30192	160	22	models	model	NOUN
ajst-30192	160	23	.	.	PUNCT
ajst-30192	161	1	among	among	ADP
ajst-30192	161	2	the	the	DET
ajst-30192	161	3	prediction	prediction	NOUN
ajst-30192	161	4	effects	effect	NOUN
ajst-30192	161	5	of	of	ADP
ajst-30192	161	6	ii	ii	NOUN
ajst-30192	161	7	-	-	PUNCT
ajst-30192	161	8	class	class	NOUN
ajst-30192	161	9	surrounding	surround	VERB
ajst-30192	161	10	rock	rock	NOUN
ajst-30192	161	11	,	,	PUNCT
ajst-30192	161	12	xgboost	xgboost	ADV
ajst-30192	161	13	,	,	PUNCT
ajst-30192	161	14	svm	svm	PROPN
ajst-30192	161	15	and	and	CCONJ
ajst-30192	161	16	rf	rf	NOUN
ajst-30192	161	17	have	have	VERB
ajst-30192	161	18	the	the	DET
ajst-30192	161	19	best	good	ADJ
ajst-30192	161	20	prediction	prediction	NOUN
ajst-30192	161	21	effect	effect	NOUN
ajst-30192	161	22	,	,	PUNCT
ajst-30192	161	23	and	and	CCONJ
ajst-30192	161	24	the	the	DET
ajst-30192	161	25	accuracy	accuracy	NOUN
ajst-30192	161	26	rate	rate	NOUN
ajst-30192	161	27	is	be	AUX
ajst-30192	161	28	90	90	NUM
ajst-30192	161	29	%	%	NOUN
ajst-30192	161	30	.	.	PUNCT
ajst-30192	162	1	xgboost	xgboost	INTJ
ajst-30192	163	1	and	and	CCONJ
ajst-30192	163	2	rf	rf	VERB
ajst-30192	163	3	have	have	VERB
ajst-30192	163	4	the	the	DET
ajst-30192	163	5	best	good	ADJ
ajst-30192	163	6	prediction	prediction	NOUN
ajst-30192	163	7	effect	effect	NOUN
ajst-30192	163	8	in	in	ADP
ajst-30192	163	9	grade	grade	PROPN
ajst-30192	163	10	iii	iii	NOUN
ajst-30192	163	11	and	and	CCONJ
ajst-30192	163	12	iv	iv	NUM
ajst-30192	163	13	surrounding	surround	VERB
ajst-30192	163	14	rock	rock	NOUN
ajst-30192	163	15	,	,	PUNCT
ajst-30192	163	16	and	and	CCONJ
ajst-30192	163	17	all	all	DET
ajst-30192	163	18	grade	grade	NOUN
ajst-30192	163	19	iii	iii	NOUN
ajst-30192	163	20	surrounding	surround	VERB
ajst-30192	163	21	rock	rock	NOUN
ajst-30192	163	22	samples	sample	NOUN
ajst-30192	163	23	are	be	AUX
ajst-30192	163	24	identified	identify	VERB
ajst-30192	163	25	.	.	PUNCT
ajst-30192	164	1	svm	svm	PROPN
ajst-30192	164	2	has	have	VERB
ajst-30192	164	3	the	the	DET
ajst-30192	164	4	worst	bad	ADJ
ajst-30192	164	5	prediction	prediction	NOUN
ajst-30192	164	6	effect	effect	NOUN
ajst-30192	164	7	in	in	ADP
ajst-30192	164	8	grade	grade	NOUN
ajst-30192	164	9	iv	iv	NUM
ajst-30192	164	10	surrounding	surround	VERB
ajst-30192	164	11	rock	rock	NOUN
ajst-30192	164	12	,	,	PUNCT
ajst-30192	164	13	which	which	PRON
ajst-30192	164	14	is	be	AUX
ajst-30192	164	15	70	70	NUM
ajst-30192	164	16	%	%	NOUN
ajst-30192	164	17	.	.	PUNCT
ajst-30192	165	1	in	in	ADP
ajst-30192	165	2	the	the	DET
ajst-30192	165	3	prediction	prediction	NOUN
ajst-30192	165	4	effect	effect	NOUN
ajst-30192	165	5	of	of	ADP
ajst-30192	165	6	v	v	NOUN
ajst-30192	165	7	-	-	PUNCT
ajst-30192	165	8	class	class	NOUN
ajst-30192	165	9	surrounding	surround	VERB
ajst-30192	165	10	rock	rock	NOUN
ajst-30192	165	11	,	,	PUNCT
ajst-30192	165	12	xgboost	xgboost	PROPN
ajst-30192	165	13	has	have	VERB
ajst-30192	165	14	the	the	DET
ajst-30192	165	15	best	good	ADJ
ajst-30192	165	16	prediction	prediction	NOUN
ajst-30192	165	17	effect	effect	NOUN
ajst-30192	165	18	,	,	PUNCT
ajst-30192	165	19	and	and	CCONJ
ajst-30192	165	20	k	k	X
ajst-30192	165	21	-	-	PUNCT
ajst-30192	165	22	nearest	near	ADJ
ajst-30192	165	23	neighbor	neighbor	NOUN
ajst-30192	165	24	and	and	CCONJ
ajst-30192	165	25	rf	rf	NOUN
ajst-30192	165	26	have	have	VERB
ajst-30192	165	27	the	the	DET
ajst-30192	165	28	worst	bad	ADJ
ajst-30192	165	29	prediction	prediction	NOUN
ajst-30192	165	30	effect	effect	NOUN
ajst-30192	165	31	.	.	PUNCT
ajst-30192	166	1	in	in	ADP
ajst-30192	166	2	figure	figure	NOUN
ajst-30192	166	3	17	17	NUM
ajst-30192	166	4	,	,	PUNCT
ajst-30192	166	5	the	the	DET
ajst-30192	166	6	evaluation	evaluation	NOUN
ajst-30192	166	7	indexes	index	NOUN
ajst-30192	166	8	of	of	ADP
ajst-30192	166	9	the	the	DET
ajst-30192	166	10	four	four	NUM
ajst-30192	166	11	models	model	NOUN
ajst-30192	166	12	are	be	AUX
ajst-30192	166	13	compared	compare	VERB
ajst-30192	166	14	.	.	PUNCT
ajst-30192	167	1	the	the	DET
ajst-30192	167	2	accuracy	accuracy	NOUN
ajst-30192	167	3	,	,	PUNCT
ajst-30192	167	4	recall	recall	NOUN
ajst-30192	167	5	rate	rate	NOUN
ajst-30192	167	6	and	and	CCONJ
ajst-30192	167	7	true	true	ADJ
ajst-30192	167	8	positive	positive	ADJ
ajst-30192	167	9	rate	rate	NOUN
ajst-30192	167	10	of	of	ADP
ajst-30192	167	11	the	the	DET
ajst-30192	167	12	xgboost	xgboost	PROPN
ajst-30192	167	13	model	model	NOUN
ajst-30192	167	14	are	be	AUX
ajst-30192	167	15	higher	high	ADJ
ajst-30192	167	16	than	than	ADP
ajst-30192	167	17	those	those	PRON
ajst-30192	167	18	of	of	ADP
ajst-30192	167	19	other	other	ADJ
ajst-30192	167	20	models	model	NOUN
ajst-30192	167	21	.	.	PUNCT
ajst-30192	168	1	considering	consider	VERB
ajst-30192	168	2	the	the	DET
ajst-30192	168	3	respective	respective	ADJ
ajst-30192	168	4	evaluation	evaluation	NOUN
ajst-30192	168	5	indexes	index	NOUN
ajst-30192	168	6	of	of	ADP
ajst-30192	168	7	surrounding	surround	VERB
ajst-30192	168	8	rock	rock	NOUN
ajst-30192	168	9	grade	grade	NOUN
ajst-30192	168	10	identification	identification	NOUN
ajst-30192	168	11	at	at	ADP
ajst-30192	168	12	all	all	DET
ajst-30192	168	13	levels	level	NOUN
ajst-30192	168	14	,	,	PUNCT
ajst-30192	168	15	the	the	DET
ajst-30192	168	16	xgboost	xgboost	PROPN
ajst-30192	168	17	model	model	NOUN
ajst-30192	168	18	is	be	AUX
ajst-30192	168	19	the	the	DET
ajst-30192	168	20	best	good	ADJ
ajst-30192	168	21	choice	choice	NOUN
ajst-30192	168	22	.	.	PUNCT
ajst-30192	169	1	figure	figure	NOUN
ajst-30192	169	2	16	16	NUM
ajst-30192	169	3	.	.	PUNCT
ajst-30192	170	1	model	model	NOUN
ajst-30192	170	2	prediction	prediction	NOUN
ajst-30192	170	3	results	result	NOUN
ajst-30192	170	4	figure	figure	VERB
ajst-30192	170	5	17	17	NUM
ajst-30192	170	6	.	.	PUNCT
ajst-30192	170	7	model	model	PROPN
ajst-30192	170	8	evaluation	evaluation	NOUN
ajst-30192	170	9	index	index	NOUN
ajst-30192	170	10	comparison	comparison	NOUN
ajst-30192	170	11	5	5	NUM
ajst-30192	170	12	.	.	PUNCT
ajst-30192	170	13	conclusion	conclusion	NOUN
ajst-30192	170	14	in	in	ADP
ajst-30192	170	15	this	this	DET
ajst-30192	170	16	paper	paper	NOUN
ajst-30192	170	17	,	,	PUNCT
ajst-30192	170	18	by	by	ADP
ajst-30192	170	19	analyzing	analyze	VERB
ajst-30192	170	20	the	the	DET
ajst-30192	170	21	construction	construction	NOUN
ajst-30192	170	22	site	site	NOUN
ajst-30192	170	23	data	datum	NOUN
ajst-30192	170	24	and	and	CCONJ
ajst-30192	170	25	inputting	inputte	VERB
ajst-30192	170	26	it	it	PRON
ajst-30192	170	27	and	and	CCONJ
ajst-30192	170	28	the	the	DET
ajst-30192	170	29	tunneling	tunneling	NOUN
ajst-30192	170	30	parameter	parameter	NOUN
ajst-30192	170	31	statistics	statistic	NOUN
ajst-30192	170	32	as	as	SCONJ
ajst-30192	170	33	features	feature	NOUN
ajst-30192	170	34	into	into	ADP
ajst-30192	170	35	the	the	DET
ajst-30192	170	36	machine	machine	NOUN
ajst-30192	170	37	learning	learn	VERB
ajst-30192	170	38	model	model	NOUN
ajst-30192	170	39	to	to	PART
ajst-30192	170	40	realize	realize	VERB
ajst-30192	170	41	the	the	DET
ajst-30192	170	42	real	real	ADJ
ajst-30192	170	43	-	-	PUNCT
ajst-30192	170	44	time	time	NOUN
ajst-30192	170	45	prediction	prediction	NOUN
ajst-30192	170	46	of	of	ADP
ajst-30192	170	47	tbm	tbm	NOUN
ajst-30192	170	48	surrounding	surround	VERB
ajst-30192	170	49	rock	rock	NOUN
ajst-30192	170	50	grade	grade	NOUN
ajst-30192	170	51	,	,	PUNCT
ajst-30192	170	52	the	the	DET
ajst-30192	170	53	main	main	ADJ
ajst-30192	170	54	conclusions	conclusion	NOUN
ajst-30192	170	55	are	be	AUX
ajst-30192	170	56	as	as	SCONJ
ajst-30192	170	57	follows	follow	VERB
ajst-30192	170	58	.	.	PUNCT
ajst-30192	171	1	(	(	PUNCT
ajst-30192	171	2	1	1	X
ajst-30192	171	3	)	)	PUNCT
ajst-30192	171	4	the	the	DET
ajst-30192	171	5	relationship	relationship	NOUN
ajst-30192	171	6	between	between	ADP
ajst-30192	171	7	tbm	tbm	NOUN
ajst-30192	171	8	parameters	parameter	NOUN
ajst-30192	171	9	and	and	CCONJ
ajst-30192	171	10	surrounding	surround	VERB
ajst-30192	171	11	rock	rock	NOUN
ajst-30192	171	12	grades	grade	NOUN
ajst-30192	171	13	is	be	AUX
ajst-30192	171	14	studied	study	VERB
ajst-30192	171	15	.	.	PUNCT
ajst-30192	172	1	the	the	DET
ajst-30192	172	2	distribution	distribution	NOUN
ajst-30192	172	3	of	of	ADP
ajst-30192	172	4	six	six	NUM
ajst-30192	172	5	parameters	parameter	NOUN
ajst-30192	172	6	of	of	ADP
ajst-30192	172	7	tbm	tbm	NOUN
ajst-30192	172	8	tunneling	tunneling	NOUN
ajst-30192	172	9	parameters	parameter	NOUN
ajst-30192	172	10	such	such	ADJ
ajst-30192	172	11	as	as	ADP
ajst-30192	172	12	thrust	thrust	NOUN
ajst-30192	172	13	,	,	PUNCT
ajst-30192	172	14	torque	torque	NOUN
ajst-30192	172	15	,	,	PUNCT
ajst-30192	172	16	speed	speed	NOUN
ajst-30192	172	17	,	,	PUNCT
ajst-30192	172	18	power	power	NOUN
ajst-30192	172	19	,	,	PUNCT
ajst-30192	172	20	and	and	CCONJ
ajst-30192	172	21	performance	performance	NOUN
ajst-30192	172	22	parameters	parameter	NOUN
ajst-30192	172	23	such	such	ADJ
ajst-30192	172	24	as	as	ADP
ajst-30192	172	25	tunneling	tunnel	VERB
ajst-30192	172	26	speed	speed	NOUN
ajst-30192	172	27	and	and	CCONJ
ajst-30192	172	28	penetration	penetration	NOUN
ajst-30192	172	29	under	under	ADP
ajst-30192	172	30	surrounding	surround	VERB
ajst-30192	172	31	rock	rock	NOUN
ajst-30192	172	32	at	at	ADP
ajst-30192	172	33	all	all	DET
ajst-30192	172	34	levels	level	NOUN
ajst-30192	172	35	is	be	AUX
ajst-30192	172	36	analyzed	analyze	VERB
ajst-30192	172	37	by	by	ADP
ajst-30192	172	38	box	box	NOUN
ajst-30192	172	39	diagram	diagram	NOUN
ajst-30192	172	40	.	.	PUNCT
ajst-30192	173	1	the	the	DET
ajst-30192	173	2	results	result	NOUN
ajst-30192	173	3	show	show	VERB
ajst-30192	173	4	that	that	DET
ajst-30192	173	5	thrust	thrust	VERB
ajst-30192	173	6	,	,	PUNCT
ajst-30192	173	7	speed	speed	NOUN
ajst-30192	173	8	,	,	PUNCT
ajst-30192	173	9	torque	torque	NOUN
ajst-30192	173	10	and	and	CCONJ
ajst-30192	173	11	tunneling	tunneling	NOUN
ajst-30192	173	12	speed	speed	NOUN
ajst-30192	173	13	have	have	VERB
ajst-30192	173	14	good	good	ADJ
ajst-30192	173	15	discrimination	discrimination	NOUN
ajst-30192	173	16	in	in	ADP
ajst-30192	173	17	different	different	ADJ
ajst-30192	173	18	grades	grade	NOUN
ajst-30192	173	19	of	of	ADP
ajst-30192	173	20	surrounding	surround	VERB
ajst-30192	173	21	rock	rock	NOUN
ajst-30192	173	22	.	.	PUNCT
ajst-30192	174	1	(	(	PUNCT
ajst-30192	174	2	2	2	X
ajst-30192	174	3	)	)	PUNCT
ajst-30192	174	4	the	the	DET
ajst-30192	174	5	principle	principle	NOUN
ajst-30192	174	6	of	of	ADP
ajst-30192	174	7	xgboost	xgboost	X
ajst-30192	174	8	algorithm	algorithm	PROPN
ajst-30192	174	9	is	be	AUX
ajst-30192	174	10	introduced	introduce	VERB
ajst-30192	174	11	,	,	PUNCT
ajst-30192	174	12	and	and	CCONJ
ajst-30192	174	13	the	the	DET
ajst-30192	174	14	xgboost	xgboost	PROPN
ajst-30192	174	15	algorithm	algorithm	PROPN
ajst-30192	174	16	model	model	NOUN
ajst-30192	174	17	is	be	AUX
ajst-30192	174	18	established	establish	VERB
ajst-30192	174	19	.	.	PUNCT
ajst-30192	175	1	some	some	DET
ajst-30192	175	2	evaluation	evaluation	NOUN
ajst-30192	175	3	indexes	index	NOUN
ajst-30192	175	4	are	be	AUX
ajst-30192	175	5	used	use	VERB
ajst-30192	175	6	to	to	PART
ajst-30192	175	7	evaluate	evaluate	VERB
ajst-30192	175	8	the	the	DET
ajst-30192	175	9	accuracy	accuracy	NOUN
ajst-30192	175	10	of	of	ADP
ajst-30192	175	11	the	the	DET
ajst-30192	175	12	model	model	NOUN
ajst-30192	175	13	prediction	prediction	NOUN
ajst-30192	175	14	results	result	VERB
ajst-30192	175	15	.	.	PUNCT
ajst-30192	176	1	the	the	DET
ajst-30192	176	2	accuracy	accuracy	NOUN
ajst-30192	176	3	rate	rate	NOUN
ajst-30192	176	4	,	,	PUNCT
ajst-30192	176	5	precision	precision	NOUN
ajst-30192	176	6	rate	rate	NOUN
ajst-30192	176	7	,	,	PUNCT
ajst-30192	176	8	recall	recall	NOUN
ajst-30192	176	9	rate	rate	NOUN
ajst-30192	176	10	,	,	PUNCT
ajst-30192	176	11	true	true	ADJ
ajst-30192	176	12	positive	positive	ADJ
ajst-30192	176	13	rate	rate	NOUN
ajst-30192	176	14	and	and	CCONJ
ajst-30192	176	15	false	false	ADJ
ajst-30192	176	16	positive	positive	ADJ
ajst-30192	176	17	rate	rate	NOUN
ajst-30192	176	18	can	can	AUX
ajst-30192	176	19	be	be	AUX
ajst-30192	176	20	used	use	VERB
ajst-30192	176	21	as	as	ADP
ajst-30192	176	22	the	the	DET
ajst-30192	176	23	evaluation	evaluation	NOUN
ajst-30192	176	24	indexes	index	NOUN
ajst-30192	176	25	of	of	ADP
ajst-30192	176	26	the	the	DET
ajst-30192	176	27	model	model	NOUN
ajst-30192	176	28	to	to	PART
ajst-30192	176	29	compare	compare	VERB
ajst-30192	176	30	the	the	DET
ajst-30192	176	31	prediction	prediction	NOUN
ajst-30192	176	32	effects	effect	NOUN
ajst-30192	176	33	of	of	ADP
ajst-30192	176	34	different	different	ADJ
ajst-30192	176	35	models	model	NOUN
ajst-30192	176	36	.	.	PUNCT
ajst-30192	177	1	through	through	ADP
ajst-30192	177	2	the	the	DET
ajst-30192	177	3	effect	effect	NOUN
ajst-30192	177	4	of	of	ADP
ajst-30192	177	5	the	the	DET
ajst-30192	177	6	training	training	NOUN
ajst-30192	177	7	set	set	NOUN
ajst-30192	177	8	,	,	PUNCT
ajst-30192	177	9	the	the	DET
ajst-30192	177	10	feature	feature	NOUN
ajst-30192	177	11	space	space	NOUN
ajst-30192	177	12	of	of	ADP
ajst-30192	177	13	the	the	DET
ajst-30192	177	14	model	model	NOUN
ajst-30192	177	15	is	be	AUX
ajst-30192	177	16	selected	select	VERB
ajst-30192	177	17	,	,	PUNCT
ajst-30192	177	18	that	that	ADV
ajst-30192	177	19	is	is	ADV
ajst-30192	177	20	,	,	PUNCT
ajst-30192	177	21	f	f	X
ajst-30192	177	22	,	,	PUNCT
ajst-30192	177	23	n	n	CCONJ
ajst-30192	177	24	,	,	PUNCT
ajst-30192	177	25	t	t	PROPN
ajst-30192	177	26	,	,	PUNCT
ajst-30192	177	27	v.	v.	ADP
ajst-30192	177	28	references	reference	NOUN
ajst-30192	178	1	[	[	X
ajst-30192	178	2	1	1	NUM
ajst-30192	178	3	]	]	X
ajst-30192	178	4	li	li	PROPN
ajst-30192	178	5	hongbo	hongbo	PROPN
ajst-30192	178	6	,	,	PUNCT
ajst-30192	178	7	zhang	zhang	PROPN
ajst-30192	178	8	dongyue	dongyue	PROPN
ajst-30192	178	9	,	,	PUNCT
ajst-30192	178	10	ge	ge	PROPN
ajst-30192	178	11	xueyuan．	xueyuan．	PROPN
ajst-30192	178	12	tunnel	tunnel	PROPN
ajst-30192	178	13	boring	boring	ADJ
ajst-30192	178	14	machine	machine	NOUN
ajst-30192	178	15	tunneling	tunneling	NOUN
ajst-30192	178	16	parameters	parameter	NOUN
ajst-30192	178	17	prediction	prediction	NOUN
ajst-30192	178	18	method	method	NOUN
ajst-30192	178	19	based	base	VERB
ajst-30192	178	20	on	on	ADP
ajst-30192	178	21	pso	pso	NOUN
ajst-30192	178	22	-	-	PUNCT
ajst-30192	178	23	lssvm	lssvm	NOUN
ajst-30192	178	24	algorithm	algorithm	NOUN
ajst-30192	178	25	[	[	X
ajst-30192	178	26	j	j	X
ajst-30192	178	27	]	]	X
ajst-30192	178	28	.	.	PUNCT
ajst-30192	179	1	science	science	NOUN
ajst-30192	179	2	technology	technology	NOUN
ajst-30192	179	3	and	and	CCONJ
ajst-30192	179	4	engineering	engineering	NOUN
ajst-30192	179	5	,	,	PUNCT
ajst-30192	179	6	2023	2023	NUM
ajst-30192	179	7	,	,	PUNCT
ajst-30192	179	8	23	23	NUM
ajst-30192	179	9	(	(	PUNCT
ajst-30192	179	10	14	14	NUM
ajst-30192	179	11	)	)	PUNCT
ajst-30192	179	12	:	:	PUNCT
ajst-30192	179	13	6230	6230	NUM
ajst-30192	179	14	-	-	SYM
ajst-30192	179	15	6237	6237	NUM
ajst-30192	179	16	.	.	PUNCT
ajst-30192	180	1	[	[	X
ajst-30192	180	2	2	2	X
ajst-30192	180	3	]	]	X
ajst-30192	180	4	liu	liu	PROPN
ajst-30192	180	5	ruilin	ruilin	PROPN
ajst-30192	180	6	,	,	PUNCT
ajst-30192	180	7	man	man	NOUN
ajst-30192	180	8	ke	ke	PROPN
ajst-30192	180	9	,	,	PUNCT
ajst-30192	180	10	liu	liu	PROPN
ajst-30192	180	11	xiaoli	xiaoli	PROPN
ajst-30192	180	12	,	,	PUNCT
ajst-30192	180	13	et	et	PROPN
ajst-30192	180	14	al	al	PROPN
ajst-30192	180	15	.	.	PROPN
ajst-30192	180	16	prediction	prediction	NOUN
ajst-30192	180	17	of	of	ADP
ajst-30192	180	18	ground	ground	NOUN
ajst-30192	180	19	conditioning	conditioning	NOUN
ajst-30192	180	20	effect	effect	NOUN
ajst-30192	180	21	of	of	ADP
ajst-30192	180	22	water	water	NOUN
ajst-30192	180	23	-	-	PUNCT
ajst-30192	180	24	rich	rich	ADJ
ajst-30192	180	25	sandy	sandy	ADJ
ajst-30192	180	26	stratum	stratum	NOUN
ajst-30192	180	27	based	base	VERB
ajst-30192	180	28	on	on	ADP
ajst-30192	180	29	genetic	genetic	ADJ
ajst-30192	180	30	algorithm	algorithm	NOUN
ajst-30192	180	31	-	-	PUNCT
ajst-30192	180	32	back	back	NOUN
ajst-30192	180	33	propagation	propagation	NOUN
ajst-30192	180	34	neural	neural	ADJ
ajst-30192	180	35	network[j	network[j	PROPN
ajst-30192	180	36	]	]	PUNCT
ajst-30192	180	37	.	.	PUNCT
ajst-30192	181	1	tunnel	tunnel	NOUN
ajst-30192	181	2	construction	construction	NOUN
ajst-30192	181	3	,	,	PUNCT
ajst-30192	181	4	2023	2023	NUM
ajst-30192	181	5	,	,	PUNCT
ajst-30192	181	6	43(s1	43(s1	NUM
ajst-30192	181	7	):	):	PUNCT
ajst-30192	181	8	222	222	NUM
ajst-30192	181	9	.	.	PUNCT
ajst-30192	182	1	[	[	X
ajst-30192	182	2	3	3	X
ajst-30192	182	3	]	]	X
ajst-30192	182	4	li	li	PROPN
ajst-30192	182	5	taibin	taibin	PROPN
ajst-30192	182	6	,	,	PUNCT
ajst-30192	182	7	zhang	zhang	PROPN
ajst-30192	182	8	chong	chong	PROPN
ajst-30192	182	9	,	,	PUNCT
ajst-30192	182	10	yan	yan	PROPN
ajst-30192	182	11	tiancheng	tiancheng	PROPN
ajst-30192	182	12	,	,	PUNCT
ajst-30192	182	13	et	et	PROPN
ajst-30192	182	14	al	al	PROPN
ajst-30192	182	15	.	.	PUNCT
ajst-30192	182	16	intelligent	intelligent	ADJ
ajst-30192	182	17	earlywarning	earlywarning	NOUN
ajst-30192	182	18	system	system	NOUN
ajst-30192	182	19	for	for	ADP
ajst-30192	182	20	uneven	uneven	ADJ
ajst-30192	182	21	blade	blade	NOUN
ajst-30192	182	22	opening	open	VERB
ajst-30192	182	23	fault	fault	NOUN
ajst-30192	182	24	of	of	ADP
ajst-30192	182	25	162	162	NUM
ajst-30192	182	26	hydraulic	hydraulic	ADJ
ajst-30192	182	27	turbines	turbine	NOUN
ajst-30192	182	28	based	base	VERB
ajst-30192	182	29	on	on	ADP
ajst-30192	182	30	big	big	ADJ
ajst-30192	182	31	data	datum	NOUN
ajst-30192	182	32	.	.	PUNCT
ajst-30192	183	1	[	[	X
ajst-30192	183	2	j	j	X
ajst-30192	183	3	]	]	X
ajst-30192	183	4	.	.	PUNCT
ajst-30192	184	1	technology	technology	NOUN
ajst-30192	184	2	innovation	innovation	NOUN
ajst-30192	184	3	and	and	CCONJ
ajst-30192	184	4	application	application	NOUN
ajst-30192	184	5	,	,	PUNCT
ajst-30192	184	6	2020	2020	NUM
ajst-30192	184	7	,	,	PUNCT
ajst-30192	184	8	(	(	PUNCT
ajst-30192	184	9	11	11	NUM
ajst-30192	184	10	):	):	PUNCT
ajst-30192	184	11	120	120	NUM
ajst-30192	184	12	-	-	SYM
ajst-30192	184	13	121	121	NUM
ajst-30192	184	14	.	.	PUNCT
ajst-30192	185	1	[	[	X
ajst-30192	185	2	4	4	X
ajst-30192	185	3	]	]	X
ajst-30192	185	4	gholami	gholami	PROPN
ajst-30192	185	5	r.	r.	PROPN
ajst-30192	185	6	improved	improve	VERB
ajst-30192	185	7	rmr	rmr	PROPN
ajst-30192	185	8	rock	rock	PROPN
ajst-30192	185	9	mass	mass	PROPN
ajst-30192	185	10	classification	classification	NOUN
ajst-30192	185	11	using	use	VERB
ajst-30192	185	12	artificial	artificial	ADJ
ajst-30192	185	13	intelligence	intelligence	NOUN
ajst-30192	185	14	algorithms[j	algorithms[j	PROPN
ajst-30192	185	15	]	]	X
ajst-30192	185	16	.	.	PUNCT
ajst-30192	186	1	rock	rock	NOUN
ajst-30192	186	2	mechanics	mechanic	NOUN
ajst-30192	186	3	&	&	CCONJ
ajst-30192	186	4	rock	rock	PROPN
ajst-30192	186	5	engineering	engineering	PROPN
ajst-30192	186	6	,	,	PUNCT
ajst-30192	186	7	2013	2013	NUM
ajst-30192	186	8	,	,	PUNCT
ajst-30192	186	9	46	46	NUM
ajst-30192	186	10	(	(	PUNCT
ajst-30192	186	11	5	5	NUM
ajst-30192	186	12	):	):	PUNCT
ajst-30192	186	13	1199	1199	NUM
ajst-30192	186	14	-	-	SYM
ajst-30192	186	15	1209	1209	NUM
ajst-30192	186	16	.	.	PUNCT
ajst-30192	187	1	[	[	X
ajst-30192	187	2	5	5	NUM
ajst-30192	187	3	]	]	X
ajst-30192	187	4	jian	jian	PROPN
ajst-30192	187	5	xu	xu	PROPN
ajst-30192	187	6	,	,	PUNCT
ajst-30192	187	7	wang	wang	PROPN
ajst-30192	187	8	j	j	PROPN
ajst-30192	187	9	,	,	PUNCT
ajst-30192	187	10	yan	yan	PROPN
ajst-30192	187	11	ma	ma	PROPN
ajst-30192	187	12	.	.	PROPN
ajst-30192	187	13	rock	rock	PROPN
ajst-30192	187	14	mass	mass	PROPN
ajst-30192	187	15	quality	quality	NOUN
ajst-30192	187	16	assessment	assessment	NOUN
ajst-30192	187	17	based	base	VERB
ajst-30192	187	18	on	on	ADP
ajst-30192	187	19	bp	bp	PROPN
ajst-30192	187	20	artificial	artificial	ADJ
ajst-30192	187	21	neural	neural	ADJ
ajst-30192	187	22	network	network	NOUN
ajst-30192	187	23	(	(	PUNCT
ajst-30192	187	24	ann)——a	ann)——a	PART
ajst-30192	187	25	case	case	NOUN
ajst-30192	187	26	study	study	NOUN
ajst-30192	187	27	of	of	ADP
ajst-30192	187	28	borehole	borehole	NOUN
ajst-30192	187	29	bs03	bs03	PROPN
ajst-30192	187	30	injiujing	injiuje	VERB
ajst-30192	187	31	segment	segment	NOUN
ajst-30192	187	32	of	of	ADP
ajst-30192	187	33	beishan	beishan	PROPN
ajst-30192	187	34	,	,	PUNCT
ajst-30192	187	35	gansu[j	gansu[j	NOUN
ajst-30192	187	36	]	]	PUNCT
ajst-30192	187	37	.	.	PUNCT
ajst-30192	188	1	uranium	uranium	NOUN
ajst-30192	188	2	geology	geology	NOUN
ajst-30192	188	3	,	,	PUNCT
ajst-30192	188	4	2007	2007	NUM
ajst-30192	188	5	,	,	PUNCT
ajst-30192	188	6	23	23	NUM
ajst-30192	188	7	(	(	PUNCT
ajst-30192	188	8	4	4	NUM
ajst-30192	188	9	):	):	PUNCT
ajst-30192	188	10	249	249	NUM
ajst-30192	188	11	-	-	SYM
ajst-30192	188	12	455	455	NUM
ajst-30192	188	13	.	.	PUNCT
ajst-30192	189	1	[	[	X
ajst-30192	189	2	6	6	NUM
ajst-30192	189	3	]	]	PUNCT
ajst-30192	189	4	sanio	sanio	NOUN
ajst-30192	189	5	h	h	NOUN
ajst-30192	189	6	p.	p.	NOUN
ajst-30192	189	7	prediction	prediction	NOUN
ajst-30192	189	8	of	of	ADP
ajst-30192	189	9	the	the	DET
ajst-30192	189	10	performance	performance	NOUN
ajst-30192	189	11	of	of	ADP
ajst-30192	189	12	disc	disc	NOUN
ajst-30192	189	13	cutters	cutter	NOUN
ajst-30192	189	14	in	in	ADP
ajst-30192	189	15	aniso	aniso	NOUN
ajst-30192	189	16	tropic	tropic	NOUN
ajst-30192	189	17	rock[j	rock[j	PROPN
ajst-30192	189	18	]	]	PUNCT
ajst-30192	189	19	.	.	PUNCT
ajst-30192	190	1	international	international	ADJ
ajst-30192	190	2	journal	journal	PROPN
ajst-30192	190	3	of	of	ADP
ajst-30192	190	4	rock	rock	NOUN
ajst-30192	190	5	mechanics	mechanic	NOUN
ajst-30192	190	6	and	and	CCONJ
ajst-30192	190	7	mining	mining	NOUN
ajst-30192	190	8	sciences	sciences	PROPN
ajst-30192	190	9	&	&	CCONJ
ajst-30192	190	10	geomechanics	geomechanics	PROPN
ajst-30192	190	11	abstracts	abstract	NOUN
ajst-30192	190	12	,	,	PUNCT
ajst-30192	190	13	1985	1985	NUM
ajst-30192	190	14	,	,	PUNCT
ajst-30192	190	15	22(3	22(3	NUM
ajst-30192	190	16	):	):	PUNCT
ajst-30192	190	17	153	153	NUM
ajst-30192	190	18	-	-	SYM
ajst-30192	190	19	161	161	NUM
ajst-30192	190	20	.	.	PUNCT
ajst-30192	191	1	[	[	X
ajst-30192	191	2	7	7	X
ajst-30192	191	3	]	]	X
ajst-30192	191	4	rosutami	rosutami	PROPN
ajst-30192	191	5	j.	j.	PROPN
ajst-30192	191	6	a	a	DET
ajst-30192	191	7	new	new	ADJ
ajst-30192	191	8	model	model	NOUN
ajst-30192	191	9	for	for	ADP
ajst-30192	191	10	performance	performance	NOUN
ajst-30192	191	11	prediction	prediction	NOUN
ajst-30192	191	12	of	of	ADP
ajst-30192	191	13	hard	hard	ADJ
ajst-30192	191	14	rock	rock	NOUN
ajst-30192	191	15	tbms[c]//proceedings/1993	tbms[c]//proceedings/1993	PROPN
ajst-30192	191	16	rapid	rapid	ADJ
ajst-30192	191	17	excavation	excavation	NOUN
ajst-30192	191	18	and	and	CCONJ
ajst-30192	191	19	tunneling	tunneling	NOUN
ajst-30192	191	20	conference	conference	NOUN
ajst-30192	191	21	.	.	PUNCT
ajst-30192	192	1	1993	1993	NUM
ajst-30192	192	2	.	.	PUNCT
ajst-30192	193	1	[	[	X
ajst-30192	193	2	8	8	NUM
ajst-30192	193	3	]	]	PUNCT
ajst-30192	193	4	yang	yang	PROPN
ajst-30192	193	5	yaohong	yaohong	PROPN
ajst-30192	193	6	,	,	PUNCT
ajst-30192	193	7	han	han	PROPN
ajst-30192	193	8	xingzhong	xingzhong	PROPN
ajst-30192	193	9	,	,	PUNCT
ajst-30192	193	10	zhang	zhang	PROPN
ajst-30192	193	11	zhixiao	zhixiao	PROPN
ajst-30192	193	12	,	,	PUNCT
ajst-30192	193	13	et	et	PROPN
ajst-30192	193	14	al	al	PROPN
ajst-30192	193	15	.	.	PUNCT
ajst-30192	194	1	the	the	DET
ajst-30192	194	2	interval	interval	NOUN
ajst-30192	194	3	prediction	prediction	NOUN
ajst-30192	194	4	of	of	ADP
ajst-30192	194	5	tunnel	tunnel	NOUN
ajst-30192	194	6	boring	boring	ADJ
ajst-30192	194	7	machine	machine	NOUN
ajst-30192	194	8	penetration	penetration	NOUN
ajst-30192	194	9	rate	rate	NOUN
ajst-30192	194	10	under	under	ADP
ajst-30192	194	11	condition	condition	NOUN
ajst-30192	194	12	of	of	ADP
ajst-30192	194	13	mixed	mixed	ADJ
ajst-30192	194	14	face	face	NOUN
ajst-30192	194	15	ground	ground	NOUN
ajst-30192	194	16	and	and	CCONJ
ajst-30192	194	17	small	small	ADJ
ajst-30192	194	18	diameter[j	diameter[j	NOUN
ajst-30192	194	19	]	]	PUNCT
ajst-30192	194	20	.	.	PUNCT
ajst-30192	195	1	science	science	NOUN
ajst-30192	195	2	technology	technology	NOUN
ajst-30192	195	3	and	and	CCONJ
ajst-30192	195	4	engineering	engineering	NOUN
ajst-30192	195	5	,	,	PUNCT
ajst-30192	195	6	2023	2023	NUM
ajst-30192	195	7	,	,	PUNCT
ajst-30192	195	8	23(34	23(34	NUM
ajst-30192	195	9	):	):	PUNCT
ajst-30192	195	10	1463814650	1463814650	NUM
ajst-30192	195	11	.	.	PUNCT
ajst-30192	196	1	[	[	X
ajst-30192	196	2	9	9	NUM
ajst-30192	196	3	]	]	X
ajst-30192	196	4	wang	wang	PROPN
ajst-30192	196	5	jian	jian	PROPN
ajst-30192	196	6	,	,	PUNCT
ajst-30192	196	7	wang	wang	PROPN
ajst-30192	196	8	ruirui	ruirui	PROPN
ajst-30192	196	9	,	,	PUNCT
ajst-30192	196	10	zhang	zhang	PROPN
ajst-30192	196	11	xinxin	xinxin	PROPN
ajst-30192	196	12	,	,	PUNCT
ajst-30192	196	13	et	et	PROPN
ajst-30192	196	14	al	al	PROPN
ajst-30192	196	15	.	.	PUNCT
ajst-30192	196	16	estimation	estimation	NOUN
ajst-30192	196	17	of	of	ADP
ajst-30192	196	18	tbm	tbm	NOUN
ajst-30192	196	19	performance	performance	NOUN
ajst-30192	196	20	parameters	parameter	NOUN
ajst-30192	196	21	based	base	VERB
ajst-30192	196	22	on	on	ADP
ajst-30192	196	23	rock	rock	NOUN
ajst-30192	196	24	mass	mass	NOUN
ajst-30192	196	25	rating	rating	NOUN
ajst-30192	196	26	(	(	PUNCT
ajst-30192	196	27	rmr	rmr	PROPN
ajst-30192	196	28	)	)	PUNCT
ajst-30192	196	29	system[j].tunnel	system[j].tunnel	PROPN
ajst-30192	196	30	construction	construction	NOUN
ajst-30192	196	31	,	,	PUNCT
ajst-30192	196	32	2017	2017	NUM
ajst-30192	196	33	,	,	PUNCT
ajst-30192	196	34	37(6	37(6	NUM
ajst-30192	196	35	):	):	PUNCT
ajst-30192	196	36	59–66	59–66	NUM
ajst-30192	196	37	.	.	PUNCT
ajst-30192	197	1	[	[	X
ajst-30192	197	2	10	10	NUM
ajst-30192	197	3	]	]	X
ajst-30192	197	4	hassanpour	hassanpour	PROPN
ajst-30192	197	5	j	j	PROPN
ajst-30192	197	6	,	,	PUNCT
ajst-30192	197	7	rostami	rostami	PROPN
ajst-30192	197	8	j	j	PROPN
ajst-30192	197	9	,	,	PUNCT
ajst-30192	197	10	zhao	zhao	PROPN
ajst-30192	197	11	j.	j.	PROPN
ajst-30192	198	1	a	a	DET
ajst-30192	198	2	new	new	ADJ
ajst-30192	198	3	hard	hard	ADJ
ajst-30192	198	4	rock	rock	NOUN
ajst-30192	198	5	tbm	tbm	NOUN
ajst-30192	198	6	performance	performance	NOUN
ajst-30192	198	7	prediction	prediction	NOUN
ajst-30192	198	8	model	model	NOUN
ajst-30192	198	9	for	for	ADP
ajst-30192	198	10	project	project	NOUN
ajst-30192	198	11	planning[j	planning[j	NOUN
ajst-30192	198	12	]	]	PUNCT
ajst-30192	198	13	.	.	PUNCT
ajst-30192	199	1	tunnelling	tunnelling	NOUN
ajst-30192	199	2	and	and	CCONJ
ajst-30192	199	3	underground	underground	ADJ
ajst-30192	199	4	space	space	NOUN
ajst-30192	199	5	technology	technology	NOUN
ajst-30192	199	6	,	,	PUNCT
ajst-30192	199	7	2011	2011	NUM
ajst-30192	199	8	,	,	PUNCT
ajst-30192	199	9	26(5	26(5	NUM
ajst-30192	199	10	):	):	PUNCT
ajst-30192	199	11	595	595	NUM
ajst-30192	199	12	-	-	SYM
ajst-30192	199	13	603	603	NUM
ajst-30192	199	14	.	.	PUNCT
ajst-30192	200	1	[	[	X
ajst-30192	200	2	11	11	NUM
ajst-30192	200	3	]	]	X
ajst-30192	200	4	man	man	NOUN
ajst-30192	200	5	ke	ke	PROPN
ajst-30192	200	6	,	,	PUNCT
ajst-30192	200	7	cao	cao	PROPN
ajst-30192	200	8	zixiang	zixiang	PROPN
ajst-30192	200	9	,	,	PUNCT
ajst-30192	200	10	liu	liu	PROPN
ajst-30192	200	11	xiaoli	xiaoli	PROPN
ajst-30192	200	12	,	,	PUNCT
ajst-30192	200	13	et	et	PROPN
ajst-30192	200	14	al	al	PROPN
ajst-30192	200	15	.	.	PUNCT
ajst-30192	201	1	the	the	DET
ajst-30192	201	2	prediction	prediction	NOUN
ajst-30192	201	3	of	of	ADP
ajst-30192	201	4	tbm	tbm	PROPN
ajst-30192	201	5	tunnel	tunnel	NOUN
ajst-30192	201	6	boring	boring	ADJ
ajst-30192	201	7	parameters	parameter	NOUN
ajst-30192	201	8	based	base	VERB
ajst-30192	201	9	on	on	ADP
ajst-30192	201	10	gru	gru	NOUN
ajst-30192	201	11	-	-	ADJ
ajst-30192	201	12	rf	rf	ADJ
ajst-30192	201	13	model[j].jouranal	model[j].jouranal	NOUN
ajst-30192	201	14	of	of	ADP
ajst-30192	201	15	basic	basic	ADJ
ajst-30192	201	16	science	science	NOUN
ajst-30192	201	17	and	and	CCONJ
ajst-30192	201	18	engineering	engineering	NOUN
ajst-30192	201	19	,	,	PUNCT
ajst-30192	201	20	2023	2023	NUM
ajst-30192	201	21	,	,	PUNCT
ajst-30192	201	22	31(06):1519	31(06):1519	PROPN
ajst-30192	201	23	-	-	SYM
ajst-30192	201	24	1539	1539	NUM
ajst-30192	201	25	.	.	PUNCT