id	sid	tid	token	lemma	pos
ajst-5048	1	1	academic	academic	ADJ
ajst-5048	1	2	journal	journal	NOUN
ajst-5048	1	3	of	of	ADP
ajst-5048	1	4	science	science	NOUN
ajst-5048	1	5	and	and	CCONJ
ajst-5048	1	6	technology	technology	NOUN
ajst-5048	1	7	issn	issn	NOUN
ajst-5048	1	8	:	:	PUNCT
ajst-5048	1	9	2771	2771	NUM
ajst-5048	1	10	-	-	SYM
ajst-5048	1	11	3032	3032	NUM
ajst-5048	1	12	|	|	NOUN
ajst-5048	1	13	vol	vol	NOUN
ajst-5048	1	14	.	.	PROPN
ajst-5048	2	1	4	4	NUM
ajst-5048	2	2	,	,	PUNCT
ajst-5048	2	3	no	no	INTJ
ajst-5048	2	4	.	.	NOUN
ajst-5048	2	5	3	3	NUM
ajst-5048	2	6	,	,	PUNCT
ajst-5048	2	7	2022	2022	NUM
ajst-5048	2	8	149	149	NUM
ajst-5048	2	9	research	research	NOUN
ajst-5048	2	10	and	and	CCONJ
ajst-5048	2	11	application	application	NOUN
ajst-5048	2	12	of	of	ADP
ajst-5048	2	13	cuttings	cutting	NOUN
ajst-5048	2	14	flow	flow	NOUN
ajst-5048	2	15	prediction	prediction	NOUN
ajst-5048	2	16	model	model	NOUN
ajst-5048	2	17	for	for	ADP
ajst-5048	2	18	horizontal	horizontal	ADJ
ajst-5048	2	19	well	well	INTJ
ajst-5048	2	20	zhao	zhao	PROPN
ajst-5048	2	21	pan	pan	PROPN
ajst-5048	2	22	,	,	PUNCT
ajst-5048	2	23	haibo	haibo	PROPN
ajst-5048	2	24	liang	liang	PROPN
ajst-5048	2	25	*	*	PROPN
ajst-5048	2	26	school	school	NOUN
ajst-5048	2	27	of	of	ADP
ajst-5048	2	28	mechanical	mechanical	ADJ
ajst-5048	2	29	and	and	CCONJ
ajst-5048	2	30	electrical	electrical	ADJ
ajst-5048	2	31	engineering	engineering	NOUN
ajst-5048	2	32	,	,	PUNCT
ajst-5048	2	33	southwest	southwest	ADJ
ajst-5048	2	34	petroleum	petroleum	NOUN
ajst-5048	2	35	university	university	PROPN
ajst-5048	2	36	,	,	PUNCT
ajst-5048	2	37	sichuan	sichuan	PROPN
ajst-5048	2	38	610000	610000	NUM
ajst-5048	2	39	,	,	PUNCT
ajst-5048	2	40	china	china	PROPN
ajst-5048	2	41	*	*	PUNCT
ajst-5048	2	42	corresponding	correspond	VERB
ajst-5048	2	43	author	author	NOUN
ajst-5048	2	44	abstract	abstract	NOUN
ajst-5048	2	45	:	:	PUNCT
ajst-5048	2	46	in	in	ADP
ajst-5048	2	47	the	the	DET
ajst-5048	2	48	process	process	NOUN
ajst-5048	2	49	of	of	ADP
ajst-5048	2	50	horizontal	horizontal	ADJ
ajst-5048	2	51	well	well	NOUN
ajst-5048	2	52	drilling	drilling	NOUN
ajst-5048	2	53	and	and	CCONJ
ajst-5048	2	54	logging	log	VERB
ajst-5048	2	55	,	,	PUNCT
ajst-5048	2	56	real	real	ADJ
ajst-5048	2	57	-	-	PUNCT
ajst-5048	2	58	time	time	NOUN
ajst-5048	2	59	and	and	CCONJ
ajst-5048	2	60	continuous	continuous	ADJ
ajst-5048	2	61	monitoring	monitoring	NOUN
ajst-5048	2	62	of	of	ADP
ajst-5048	2	63	returned	return	VERB
ajst-5048	2	64	cuttings	cutting	NOUN
ajst-5048	2	65	is	be	AUX
ajst-5048	2	66	needed	need	VERB
ajst-5048	2	67	to	to	PART
ajst-5048	2	68	monitor	monitor	VERB
ajst-5048	2	69	the	the	DET
ajst-5048	2	70	cleanliness	cleanliness	NOUN
ajst-5048	2	71	of	of	ADP
ajst-5048	2	72	the	the	DET
ajst-5048	2	73	hole	hole	NOUN
ajst-5048	2	74	and	and	CCONJ
ajst-5048	2	75	reduce	reduce	VERB
ajst-5048	2	76	complex	complex	ADJ
ajst-5048	2	77	drilling	drilling	NOUN
ajst-5048	2	78	accidents	accident	NOUN
ajst-5048	2	79	,	,	PUNCT
ajst-5048	2	80	such	such	ADJ
ajst-5048	2	81	as	as	ADP
ajst-5048	2	82	bit	bit	NOUN
ajst-5048	2	83	mud	mud	NOUN
ajst-5048	2	84	bag	bag	NOUN
ajst-5048	2	85	,	,	PUNCT
ajst-5048	2	86	wall	wall	NOUN
ajst-5048	2	87	collapse	collapse	NOUN
ajst-5048	2	88	,	,	PUNCT
ajst-5048	2	89	stuck	stuck	ADJ
ajst-5048	2	90	drilling	drilling	NOUN
ajst-5048	2	91	,	,	PUNCT
ajst-5048	2	92	and	and	CCONJ
ajst-5048	2	93	leakage	leakage	NOUN
ajst-5048	2	94	,	,	PUNCT
ajst-5048	2	95	which	which	PRON
ajst-5048	2	96	may	may	AUX
ajst-5048	2	97	affect	affect	VERB
ajst-5048	2	98	drilling	drill	VERB
ajst-5048	2	99	construction	construction	NOUN
ajst-5048	2	100	and	and	CCONJ
ajst-5048	2	101	logging	log	VERB
ajst-5048	2	102	operations	operation	NOUN
ajst-5048	2	103	.	.	PUNCT
ajst-5048	3	1	however	however	ADV
ajst-5048	3	2	,	,	PUNCT
ajst-5048	3	3	when	when	SCONJ
ajst-5048	3	4	the	the	DET
ajst-5048	3	5	cuttings	cutting	NOUN
ajst-5048	3	6	metering	meter	VERB
ajst-5048	3	7	device	device	NOUN
ajst-5048	3	8	fails	fail	VERB
ajst-5048	3	9	or	or	CCONJ
ajst-5048	3	10	the	the	DET
ajst-5048	3	11	acquisition	acquisition	NOUN
ajst-5048	3	12	data	datum	NOUN
ajst-5048	3	13	packet	packet	NOUN
ajst-5048	3	14	is	be	AUX
ajst-5048	3	15	lost	lose	VERB
ajst-5048	3	16	,	,	PUNCT
ajst-5048	3	17	the	the	DET
ajst-5048	3	18	cuttings	cutting	NOUN
ajst-5048	3	19	data	datum	NOUN
ajst-5048	3	20	can	can	AUX
ajst-5048	3	21	be	be	AUX
ajst-5048	3	22	incomplete	incomplete	ADJ
ajst-5048	3	23	and	and	CCONJ
ajst-5048	3	24	discontinuous	discontinuous	ADJ
ajst-5048	3	25	,	,	PUNCT
ajst-5048	3	26	which	which	PRON
ajst-5048	3	27	poses	pose	VERB
ajst-5048	3	28	a	a	DET
ajst-5048	3	29	challenge	challenge	NOUN
ajst-5048	3	30	for	for	ADP
ajst-5048	3	31	well	well	ADV
ajst-5048	3	32	cleaning	clean	VERB
ajst-5048	3	33	monitoring	monitoring	NOUN
ajst-5048	3	34	.	.	PUNCT
ajst-5048	4	1	in	in	ADP
ajst-5048	4	2	order	order	NOUN
ajst-5048	4	3	to	to	PART
ajst-5048	4	4	solve	solve	VERB
ajst-5048	4	5	the	the	DET
ajst-5048	4	6	problem	problem	NOUN
ajst-5048	4	7	of	of	ADP
ajst-5048	4	8	incomplete	incomplete	ADJ
ajst-5048	4	9	and	and	CCONJ
ajst-5048	4	10	discontinuous	discontinuous	ADJ
ajst-5048	4	11	cuttings	cutting	NOUN
ajst-5048	4	12	data	datum	NOUN
ajst-5048	4	13	caused	cause	VERB
ajst-5048	4	14	by	by	ADP
ajst-5048	4	15	instrument	instrument	NOUN
ajst-5048	4	16	failure	failure	NOUN
ajst-5048	4	17	or	or	CCONJ
ajst-5048	4	18	collection	collection	NOUN
ajst-5048	4	19	data	datum	NOUN
ajst-5048	4	20	packet	packet	NOUN
ajst-5048	4	21	loss	loss	NOUN
ajst-5048	4	22	of	of	ADP
ajst-5048	4	23	the	the	DET
ajst-5048	4	24	cuttings	cutting	NOUN
ajst-5048	4	25	weighing	weigh	VERB
ajst-5048	4	26	device	device	NOUN
ajst-5048	4	27	in	in	ADP
ajst-5048	4	28	operation	operation	NOUN
ajst-5048	4	29	,	,	PUNCT
ajst-5048	4	30	this	this	DET
ajst-5048	4	31	paper	paper	NOUN
ajst-5048	4	32	studies	study	NOUN
ajst-5048	4	33	and	and	CCONJ
ajst-5048	4	34	compares	compare	VERB
ajst-5048	4	35	three	three	NUM
ajst-5048	4	36	cuttings	cutting	NOUN
ajst-5048	4	37	flow	flow	NOUN
ajst-5048	4	38	measurement	measurement	NOUN
ajst-5048	4	39	prediction	prediction	NOUN
ajst-5048	4	40	models	model	NOUN
ajst-5048	4	41	to	to	PART
ajst-5048	4	42	solve	solve	VERB
ajst-5048	4	43	the	the	DET
ajst-5048	4	44	problem	problem	NOUN
ajst-5048	4	45	of	of	ADP
ajst-5048	4	46	abnormal	abnormal	ADJ
ajst-5048	4	47	data	datum	NOUN
ajst-5048	4	48	caused	cause	VERB
ajst-5048	4	49	by	by	ADP
ajst-5048	4	50	the	the	DET
ajst-5048	4	51	failure	failure	NOUN
ajst-5048	4	52	of	of	ADP
ajst-5048	4	53	the	the	DET
ajst-5048	4	54	cuttings	cutting	NOUN
ajst-5048	4	55	weighing	weigh	VERB
ajst-5048	4	56	device	device	NOUN
ajst-5048	4	57	or	or	CCONJ
ajst-5048	4	58	collection	collection	NOUN
ajst-5048	4	59	data	datum	NOUN
ajst-5048	4	60	packet	packet	NOUN
ajst-5048	4	61	loss	loss	NOUN
ajst-5048	4	62	.	.	PUNCT
ajst-5048	5	1	it	it	PRON
ajst-5048	5	2	provides	provide	VERB
ajst-5048	5	3	a	a	DET
ajst-5048	5	4	reliable	reliable	ADJ
ajst-5048	5	5	means	mean	NOUN
ajst-5048	5	6	for	for	ADP
ajst-5048	5	7	reducing	reduce	VERB
ajst-5048	5	8	nonproductive	nonproductive	ADJ
ajst-5048	5	9	time	time	NOUN
ajst-5048	5	10	,	,	PUNCT
ajst-5048	5	11	monitoring	monitoring	NOUN
ajst-5048	5	12	and	and	CCONJ
ajst-5048	5	13	evaluating	evaluate	VERB
ajst-5048	5	14	borehole	borehole	NOUN
ajst-5048	5	15	cleaning	cleaning	NOUN
ajst-5048	5	16	.	.	PUNCT
ajst-5048	6	1	keywords	keyword	NOUN
ajst-5048	6	2	:	:	PUNCT
ajst-5048	6	3	borehole	borehole	NOUN
ajst-5048	6	4	cleaning	cleaning	NOUN
ajst-5048	6	5	,	,	PUNCT
ajst-5048	6	6	cuttings	cutting	NOUN
ajst-5048	6	7	weighing	weigh	VERB
ajst-5048	6	8	,	,	PUNCT
ajst-5048	6	9	bp	bp	PROPN
ajst-5048	6	10	neural	neural	ADJ
ajst-5048	6	11	network	network	NOUN
ajst-5048	6	12	.	.	PUNCT
ajst-5048	7	1	1	1	X
ajst-5048	7	2	.	.	X
ajst-5048	7	3	introduction	introduction	NOUN
ajst-5048	7	4	borehole	borehole	NOUN
ajst-5048	7	5	cleaning	clean	VERB
ajst-5048	7	6	monitoring	monitoring	NOUN
ajst-5048	7	7	is	be	AUX
ajst-5048	7	8	always	always	ADV
ajst-5048	7	9	a	a	DET
ajst-5048	7	10	very	very	ADV
ajst-5048	7	11	important	important	ADJ
ajst-5048	7	12	problem	problem	NOUN
ajst-5048	7	13	in	in	ADP
ajst-5048	7	14	drilling	drilling	NOUN
ajst-5048	7	15	and	and	CCONJ
ajst-5048	7	16	logging	log	VERB
ajst-5048	7	17	.	.	PUNCT
ajst-5048	8	1	in	in	ADP
ajst-5048	8	2	horizontal	horizontal	ADJ
ajst-5048	8	3	well	well	ADV
ajst-5048	8	4	drilling	drilling	NOUN
ajst-5048	8	5	and	and	CCONJ
ajst-5048	8	6	logging	log	VERB
ajst-5048	8	7	,	,	PUNCT
ajst-5048	8	8	returned	return	VERB
ajst-5048	8	9	cuttings	cutting	NOUN
ajst-5048	8	10	provide	provide	VERB
ajst-5048	8	11	a	a	DET
ajst-5048	8	12	basis	basis	NOUN
ajst-5048	8	13	for	for	ADP
ajst-5048	8	14	borehole	borehole	NOUN
ajst-5048	8	15	cleaning	clean	VERB
ajst-5048	8	16	monitoring	monitoring	NOUN
ajst-5048	8	17	[	[	X
ajst-5048	8	18	1	1	NUM
ajst-5048	8	19	]	]	PUNCT
ajst-5048	8	20	.	.	PUNCT
ajst-5048	9	1	therefore	therefore	ADV
ajst-5048	9	2	,	,	PUNCT
ajst-5048	9	3	continuous	continuous	ADJ
ajst-5048	9	4	,	,	PUNCT
ajst-5048	9	5	real	real	ADJ
ajst-5048	9	6	-	-	PUNCT
ajst-5048	9	7	time	time	NOUN
ajst-5048	9	8	and	and	CCONJ
ajst-5048	9	9	accurate	accurate	ADJ
ajst-5048	9	10	measurement	measurement	NOUN
ajst-5048	9	11	of	of	ADP
ajst-5048	9	12	cuttings	cutting	NOUN
ajst-5048	9	13	flow	flow	NOUN
ajst-5048	9	14	rate	rate	NOUN
ajst-5048	9	15	during	during	ADP
ajst-5048	9	16	drilling	drilling	NOUN
ajst-5048	9	17	and	and	CCONJ
ajst-5048	9	18	logging	logging	NOUN
ajst-5048	9	19	is	be	AUX
ajst-5048	9	20	very	very	ADV
ajst-5048	9	21	important	important	ADJ
ajst-5048	9	22	to	to	PART
ajst-5048	9	23	establish	establish	VERB
ajst-5048	9	24	formation	formation	NOUN
ajst-5048	9	25	profile	profile	NOUN
ajst-5048	9	26	,	,	PUNCT
ajst-5048	9	27	reduce	reduce	VERB
ajst-5048	9	28	drilling	drilling	NOUN
ajst-5048	9	29	accidents	accident	NOUN
ajst-5048	9	30	and	and	CCONJ
ajst-5048	9	31	improve	improve	VERB
ajst-5048	9	32	drilling	drilling	NOUN
ajst-5048	9	33	efficiency	efficiency	NOUN
ajst-5048	9	34	[	[	X
ajst-5048	9	35	2.3	2.3	NUM
ajst-5048	9	36	]	]	PUNCT
ajst-5048	9	37	.	.	PUNCT
ajst-5048	10	1	according	accord	VERB
ajst-5048	10	2	to	to	ADP
ajst-5048	10	3	the	the	DET
ajst-5048	10	4	literature	literature	NOUN
ajst-5048	10	5	reviewed	review	VERB
ajst-5048	10	6	,	,	PUNCT
ajst-5048	10	7	there	there	PRON
ajst-5048	10	8	are	be	VERB
ajst-5048	10	9	mainly	mainly	ADV
ajst-5048	10	10	the	the	DET
ajst-5048	10	11	following	follow	VERB
ajst-5048	10	12	monitoring	monitor	VERB
ajst-5048	10	13	methods	method	NOUN
ajst-5048	10	14	for	for	ADP
ajst-5048	10	15	debris	debris	NOUN
ajst-5048	10	16	return	return	NOUN
ajst-5048	10	17	:	:	PUNCT
ajst-5048	10	18	expert	expert	NOUN
ajst-5048	10	19	experience	experience	NOUN
ajst-5048	10	20	,	,	PUNCT
ajst-5048	10	21	downhole	downhole	NOUN
ajst-5048	10	22	engineering	engineering	NOUN
ajst-5048	10	23	subs	sub	NOUN
ajst-5048	10	24	and	and	CCONJ
ajst-5048	10	25	surface	surface	NOUN
ajst-5048	10	26	debris	debris	NOUN
ajst-5048	10	27	weighing	weigh	VERB
ajst-5048	10	28	device	device	NOUN
ajst-5048	10	29	[	[	X
ajst-5048	10	30	4	4	NUM
ajst-5048	10	31	]	]	PUNCT
ajst-5048	10	32	.	.	PUNCT
ajst-5048	11	1	expert	expert	ADJ
ajst-5048	11	2	experience	experience	NOUN
ajst-5048	11	3	is	be	AUX
ajst-5048	11	4	too	too	ADV
ajst-5048	11	5	subjective	subjective	ADJ
ajst-5048	11	6	,	,	PUNCT
ajst-5048	11	7	so	so	SCONJ
ajst-5048	11	8	this	this	DET
ajst-5048	11	9	method	method	NOUN
ajst-5048	11	10	has	have	VERB
ajst-5048	11	11	limitations	limitation	NOUN
ajst-5048	11	12	on	on	ADP
ajst-5048	11	13	well	well	ADV
ajst-5048	11	14	cleaning	cleaning	NOUN
ajst-5048	11	15	and	and	CCONJ
ajst-5048	11	16	horizontal	horizontal	ADJ
ajst-5048	11	17	logging	logging	NOUN
ajst-5048	11	18	.	.	PUNCT
ajst-5048	12	1	the	the	DET
ajst-5048	12	2	annulus	annulus	NOUN
ajst-5048	12	3	pressure	pressure	NOUN
ajst-5048	12	4	is	be	AUX
ajst-5048	12	5	measured	measure	VERB
ajst-5048	12	6	by	by	ADP
ajst-5048	12	7	the	the	DET
ajst-5048	12	8	downhole	downhole	NOUN
ajst-5048	12	9	engineering	engineering	NOUN
ajst-5048	12	10	nipple	nipple	NOUN
ajst-5048	12	11	,	,	PUNCT
ajst-5048	12	12	and	and	CCONJ
ajst-5048	12	13	then	then	ADV
ajst-5048	12	14	the	the	DET
ajst-5048	12	15	annulus	annulus	ADJ
ajst-5048	12	16	cuttings	cutting	NOUN
ajst-5048	12	17	concentration	concentration	NOUN
ajst-5048	12	18	is	be	AUX
ajst-5048	12	19	calculated	calculate	VERB
ajst-5048	12	20	according	accord	VERB
ajst-5048	12	21	to	to	ADP
ajst-5048	12	22	the	the	DET
ajst-5048	12	23	annulus	annulus	NOUN
ajst-5048	12	24	pressure	pressure	NOUN
ajst-5048	12	25	to	to	PART
ajst-5048	12	26	analyze	analyze	VERB
ajst-5048	12	27	the	the	DET
ajst-5048	12	28	borehole	borehole	NOUN
ajst-5048	12	29	cleaning	clean	VERB
ajst-5048	12	30	condition	condition	NOUN
ajst-5048	12	31	.	.	PUNCT
ajst-5048	13	1	however	however	ADV
ajst-5048	13	2	,	,	PUNCT
ajst-5048	13	3	this	this	DET
ajst-5048	13	4	method	method	NOUN
ajst-5048	13	5	has	have	VERB
ajst-5048	13	6	high	high	ADJ
ajst-5048	13	7	cost	cost	NOUN
ajst-5048	13	8	of	of	ADP
ajst-5048	13	9	downhole	downhole	NOUN
ajst-5048	13	10	tools	tool	NOUN
ajst-5048	13	11	and	and	CCONJ
ajst-5048	13	12	is	be	AUX
ajst-5048	13	13	not	not	PART
ajst-5048	13	14	conducive	conducive	ADJ
ajst-5048	13	15	to	to	ADP
ajst-5048	13	16	widespread	widespread	ADJ
ajst-5048	13	17	popularization	popularization	NOUN
ajst-5048	13	18	.	.	PUNCT
ajst-5048	14	1	installing	instal	VERB
ajst-5048	14	2	a	a	DET
ajst-5048	14	3	cuttings	cutting	NOUN
ajst-5048	14	4	weighing	weigh	VERB
ajst-5048	14	5	device	device	NOUN
ajst-5048	14	6	at	at	ADP
ajst-5048	14	7	the	the	DET
ajst-5048	14	8	discharge	discharge	NOUN
ajst-5048	14	9	port	port	NOUN
ajst-5048	14	10	of	of	ADP
ajst-5048	14	11	the	the	DET
ajst-5048	14	12	vibrating	vibrate	VERB
ajst-5048	14	13	screen	screen	NOUN
ajst-5048	14	14	,	,	PUNCT
ajst-5048	14	15	real	real	ADJ
ajst-5048	14	16	-	-	PUNCT
ajst-5048	14	17	time	time	NOUN
ajst-5048	14	18	cuttings	cutting	NOUN
ajst-5048	14	19	flow	flow	NOUN
ajst-5048	14	20	measurement	measurement	NOUN
ajst-5048	14	21	is	be	AUX
ajst-5048	14	22	the	the	DET
ajst-5048	14	23	most	most	ADV
ajst-5048	14	24	common	common	ADJ
ajst-5048	14	25	method	method	NOUN
ajst-5048	14	26	at	at	ADP
ajst-5048	14	27	present	present	NOUN
ajst-5048	14	28	.	.	PUNCT
ajst-5048	15	1	xiao	xiao	PROPN
ajst-5048	15	2	jingtao	jingtao	PROPN
ajst-5048	15	3	,	,	PUNCT
ajst-5048	15	4	ren	ren	PROPN
ajst-5048	15	5	zhonghong	zhonghong	PROPN
ajst-5048	15	6	,	,	PUNCT
ajst-5048	15	7	wang	wang	PROPN
ajst-5048	15	8	qiang	qiang	PROPN
ajst-5048	15	9	,	,	PUNCT
ajst-5048	15	10	cui	cui	PROPN
ajst-5048	15	11	zhongfeng	zhongfeng	PROPN
ajst-5048	15	12	,	,	PUNCT
ajst-5048	15	13	li	li	PROPN
ajst-5048	15	14	yanfeng	yanfeng	PROPN
ajst-5048	15	15	,	,	PUNCT
ajst-5048	15	16	li	li	PROPN
ajst-5048	15	17	fukai	fukai	PROPN
ajst-5048	15	18	,	,	PUNCT
ajst-5048	15	19	hu	hu	PROPN
ajst-5048	15	20	fengbo	fengbo	PROPN
ajst-5048	15	21	proposed	propose	VERB
ajst-5048	15	22	a	a	DET
ajst-5048	15	23	wireless	wireless	ADJ
ajst-5048	15	24	cuttings	cutting	NOUN
ajst-5048	15	25	flow	flow	NOUN
ajst-5048	15	26	measurement	measurement	NOUN
ajst-5048	15	27	device	device	NOUN
ajst-5048	15	28	and	and	CCONJ
ajst-5048	15	29	its	its	PRON
ajst-5048	15	30	application	application	NOUN
ajst-5048	15	31	[	[	X
ajst-5048	15	32	5	5	NUM
ajst-5048	15	33	]	]	PUNCT
ajst-5048	15	34	.	.	PUNCT
ajst-5048	16	1	zeng	zeng	PROPN
ajst-5048	16	2	yongwen	yongwen	PROPN
ajst-5048	16	3	,	,	PUNCT
ajst-5048	16	4	wang	wang	PROPN
ajst-5048	16	5	dongsheng	dongsheng	PROPN
ajst-5048	16	6	,	,	PUNCT
ajst-5048	16	7	zhang	zhang	PROPN
ajst-5048	16	8	jijun	jijun	PROPN
ajst-5048	16	9	,	,	PUNCT
ajst-5048	16	10	and	and	CCONJ
ajst-5048	16	11	zhang	zhang	PROPN
ajst-5048	16	12	liang	liang	PROPN
ajst-5048	16	13	put	put	VERB
ajst-5048	16	14	forward	forward	ADP
ajst-5048	16	15	the	the	DET
ajst-5048	16	16	calculation	calculation	NOUN
ajst-5048	16	17	method	method	NOUN
ajst-5048	16	18	and	and	CCONJ
ajst-5048	16	19	analysis	analysis	NOUN
ajst-5048	16	20	process	process	NOUN
ajst-5048	16	21	of	of	ADP
ajst-5048	16	22	cuttings	cutting	NOUN
ajst-5048	16	23	volume	volume	NOUN
ajst-5048	16	24	balance	balance	NOUN
ajst-5048	16	25	to	to	PART
ajst-5048	16	26	carry	carry	VERB
ajst-5048	16	27	out	out	ADP
ajst-5048	16	28	wellbore	wellbore	NOUN
ajst-5048	16	29	cleaning	cleaning	NOUN
ajst-5048	16	30	analysis	analysis	NOUN
ajst-5048	16	31	of	of	ADP
ajst-5048	16	32	horizontal	horizontal	ADJ
ajst-5048	16	33	wells	well	NOUN
ajst-5048	17	1	[	[	X
ajst-5048	17	2	6	6	NUM
ajst-5048	17	3	]	]	PUNCT
ajst-5048	17	4	,	,	PUNCT
ajst-5048	17	5	but	but	CCONJ
ajst-5048	17	6	they	they	PRON
ajst-5048	17	7	did	do	AUX
ajst-5048	17	8	not	not	PART
ajst-5048	17	9	study	study	VERB
ajst-5048	17	10	the	the	DET
ajst-5048	17	11	problem	problem	NOUN
ajst-5048	17	12	of	of	ADP
ajst-5048	17	13	incomplete	incomplete	ADJ
ajst-5048	17	14	and	and	CCONJ
ajst-5048	17	15	discontinuous	discontinuous	ADJ
ajst-5048	17	16	data	datum	NOUN
ajst-5048	17	17	caused	cause	VERB
ajst-5048	17	18	by	by	ADP
ajst-5048	17	19	instrument	instrument	NOUN
ajst-5048	17	20	failure	failure	NOUN
ajst-5048	17	21	or	or	CCONJ
ajst-5048	17	22	packet	packet	NOUN
ajst-5048	17	23	loss	loss	NOUN
ajst-5048	17	24	of	of	ADP
ajst-5048	17	25	cuttings	cutting	NOUN
ajst-5048	17	26	weighing	weigh	VERB
ajst-5048	17	27	device	device	NOUN
ajst-5048	17	28	.	.	PUNCT
ajst-5048	18	1	based	base	VERB
ajst-5048	18	2	on	on	ADP
ajst-5048	18	3	the	the	DET
ajst-5048	18	4	problem	problem	NOUN
ajst-5048	18	5	of	of	ADP
ajst-5048	18	6	instrument	instrument	NOUN
ajst-5048	18	7	failure	failure	NOUN
ajst-5048	18	8	or	or	CCONJ
ajst-5048	18	9	data	datum	NOUN
ajst-5048	18	10	packet	packet	NOUN
ajst-5048	18	11	loss	loss	NOUN
ajst-5048	18	12	in	in	ADP
ajst-5048	18	13	the	the	DET
ajst-5048	18	14	cuttings	cutting	NOUN
ajst-5048	18	15	weighing	weigh	VERB
ajst-5048	18	16	device	device	NOUN
ajst-5048	18	17	,	,	PUNCT
ajst-5048	18	18	this	this	DET
ajst-5048	18	19	paper	paper	NOUN
ajst-5048	18	20	studied	study	VERB
ajst-5048	18	21	and	and	CCONJ
ajst-5048	18	22	analyzed	analyze	VERB
ajst-5048	18	23	the	the	DET
ajst-5048	18	24	cuttings	cutting	NOUN
ajst-5048	18	25	weighing	weigh	VERB
ajst-5048	18	26	and	and	CCONJ
ajst-5048	18	27	measuring	measure	VERB
ajst-5048	18	28	principle	principle	NOUN
ajst-5048	18	29	,	,	PUNCT
ajst-5048	18	30	established	establish	VERB
ajst-5048	18	31	three	three	NUM
ajst-5048	18	32	kinds	kind	NOUN
ajst-5048	18	33	of	of	ADP
ajst-5048	18	34	cuttings	cutting	NOUN
ajst-5048	18	35	flow	flow	VERB
ajst-5048	18	36	metering	metering	NOUN
ajst-5048	18	37	prediction	prediction	NOUN
ajst-5048	18	38	models	model	NOUN
ajst-5048	18	39	,	,	PUNCT
ajst-5048	18	40	realized	realize	VERB
ajst-5048	18	41	the	the	DET
ajst-5048	18	42	prediction	prediction	NOUN
ajst-5048	18	43	of	of	ADP
ajst-5048	18	44	cuttings	cutting	NOUN
ajst-5048	18	45	data	datum	NOUN
ajst-5048	18	46	in	in	ADP
ajst-5048	18	47	the	the	DET
ajst-5048	18	48	weighing	weighing	NOUN
ajst-5048	18	49	and	and	CCONJ
ajst-5048	18	50	sampling	sample	VERB
ajst-5048	18	51	cycle	cycle	NOUN
ajst-5048	18	52	,	,	PUNCT
ajst-5048	18	53	and	and	CCONJ
ajst-5048	18	54	solved	solve	VERB
ajst-5048	18	55	the	the	DET
ajst-5048	18	56	problem	problem	NOUN
ajst-5048	18	57	of	of	ADP
ajst-5048	18	58	data	datum	NOUN
ajst-5048	18	59	loss	loss	NOUN
ajst-5048	18	60	caused	cause	VERB
ajst-5048	18	61	by	by	ADP
ajst-5048	18	62	instrument	instrument	NOUN
ajst-5048	18	63	failure	failure	NOUN
ajst-5048	18	64	or	or	CCONJ
ajst-5048	18	65	data	datum	NOUN
ajst-5048	18	66	packet	packet	NOUN
ajst-5048	18	67	loss	loss	NOUN
ajst-5048	18	68	in	in	ADP
ajst-5048	18	69	the	the	DET
ajst-5048	18	70	cuttings	cutting	NOUN
ajst-5048	18	71	weighing	weigh	VERB
ajst-5048	18	72	device	device	NOUN
ajst-5048	18	73	.	.	PUNCT
ajst-5048	19	1	it	it	PRON
ajst-5048	19	2	is	be	AUX
ajst-5048	19	3	of	of	ADP
ajst-5048	19	4	great	great	ADJ
ajst-5048	19	5	significance	significance	NOUN
ajst-5048	19	6	to	to	PART
ajst-5048	19	7	monitor	monitor	VERB
ajst-5048	19	8	borehole	borehole	NOUN
ajst-5048	19	9	cleaning	cleaning	NOUN
ajst-5048	19	10	in	in	ADP
ajst-5048	19	11	real	real	ADJ
ajst-5048	19	12	time	time	NOUN
ajst-5048	19	13	,	,	PUNCT
ajst-5048	19	14	optimize	optimize	VERB
ajst-5048	19	15	and	and	CCONJ
ajst-5048	19	16	analyze	analyze	VERB
ajst-5048	19	17	drilling	drilling	NOUN
ajst-5048	19	18	aging	aging	NOUN
ajst-5048	19	19	,	,	PUNCT
ajst-5048	19	20	and	and	CCONJ
ajst-5048	19	21	reduce	reduce	VERB
ajst-5048	19	22	non	non	ADJ
ajst-5048	19	23	-	-	ADJ
ajst-5048	19	24	productive	productive	ADJ
ajst-5048	19	25	time	time	NOUN
ajst-5048	19	26	.	.	PUNCT
ajst-5048	20	1	2	2	X
ajst-5048	20	2	.	.	X
ajst-5048	20	3	principle	principle	NOUN
ajst-5048	20	4	of	of	ADP
ajst-5048	20	5	cuttings	cutting	NOUN
ajst-5048	20	6	flow	flow	NOUN
ajst-5048	20	7	measurement	measurement	NOUN
ajst-5048	20	8	the	the	DET
ajst-5048	20	9	overall	overall	ADJ
ajst-5048	20	10	design	design	NOUN
ajst-5048	20	11	scheme	scheme	NOUN
ajst-5048	20	12	of	of	ADP
ajst-5048	20	13	cuttings	cutting	NOUN
ajst-5048	20	14	flow	flow	NOUN
ajst-5048	20	15	measurement	measurement	NOUN
ajst-5048	20	16	system	system	NOUN
ajst-5048	20	17	is	be	AUX
ajst-5048	20	18	shown	show	VERB
ajst-5048	20	19	in	in	ADP
ajst-5048	20	20	figure	figure	NOUN
ajst-5048	20	21	1	1	NUM
ajst-5048	20	22	.	.	X
ajst-5048	20	23	150	150	NUM
ajst-5048	20	24	figure	figure	NOUN
ajst-5048	20	25	1	1	NUM
ajst-5048	20	26	.	.	PUNCT
ajst-5048	21	1	overall	overall	ADJ
ajst-5048	21	2	design	design	NOUN
ajst-5048	21	3	of	of	ADP
ajst-5048	21	4	cuttings	cutting	NOUN
ajst-5048	21	5	flow	flow	NOUN
ajst-5048	21	6	measurement	measurement	NOUN
ajst-5048	21	7	system	system	NOUN
ajst-5048	21	8	cuttings	cutting	NOUN
ajst-5048	21	9	flow	flow	NOUN
ajst-5048	21	10	measurement	measurement	NOUN
ajst-5048	21	11	system	system	NOUN
ajst-5048	21	12	is	be	AUX
ajst-5048	21	13	composed	compose	VERB
ajst-5048	21	14	of	of	ADP
ajst-5048	21	15	comprehensive	comprehensive	ADJ
ajst-5048	21	16	logging	logging	NOUN
ajst-5048	21	17	instrument	instrument	NOUN
ajst-5048	21	18	,	,	PUNCT
ajst-5048	21	19	cuttings	cutting	NOUN
ajst-5048	21	20	weighing	weigh	VERB
ajst-5048	21	21	device	device	NOUN
ajst-5048	21	22	and	and	CCONJ
ajst-5048	21	23	cuttings	cutting	NOUN
ajst-5048	21	24	weighing	weigh	VERB
ajst-5048	21	25	upper	upper	ADJ
ajst-5048	21	26	unit	unit	NOUN
ajst-5048	21	27	[	[	X
ajst-5048	21	28	7,8	7,8	NUM
ajst-5048	21	29	]	]	PUNCT
ajst-5048	21	30	.	.	PUNCT
ajst-5048	22	1	the	the	DET
ajst-5048	22	2	following	following	NOUN
ajst-5048	22	3	are	be	AUX
ajst-5048	22	4	discussed	discuss	VERB
ajst-5048	22	5	:	:	PUNCT
ajst-5048	22	6	1	1	X
ajst-5048	22	7	.	.	X
ajst-5048	22	8	comprehensive	comprehensive	ADJ
ajst-5048	22	9	logging	logging	NOUN
ajst-5048	22	10	instrument	instrument	NOUN
ajst-5048	22	11	the	the	DET
ajst-5048	22	12	main	main	ADJ
ajst-5048	22	13	purpose	purpose	NOUN
ajst-5048	22	14	of	of	ADP
ajst-5048	22	15	the	the	DET
ajst-5048	22	16	integrated	integrate	VERB
ajst-5048	22	17	logging	logging	NOUN
ajst-5048	22	18	instrument	instrument	NOUN
ajst-5048	22	19	is	be	AUX
ajst-5048	22	20	to	to	PART
ajst-5048	22	21	provide	provide	VERB
ajst-5048	22	22	the	the	DET
ajst-5048	22	23	cuttings	cutting	NOUN
ajst-5048	22	24	flow	flow	NOUN
ajst-5048	22	25	metering	metering	NOUN
ajst-5048	22	26	system	system	NOUN
ajst-5048	22	27	with	with	ADP
ajst-5048	22	28	hole	hole	NOUN
ajst-5048	22	29	number	number	NOUN
ajst-5048	22	30	,	,	PUNCT
ajst-5048	22	31	depth	depth	NOUN
ajst-5048	22	32	,	,	PUNCT
ajst-5048	22	33	date	date	NOUN
ajst-5048	22	34	,	,	PUNCT
ajst-5048	22	35	time	time	NOUN
ajst-5048	22	36	,	,	PUNCT
ajst-5048	22	37	weight	weight	NOUN
ajst-5048	22	38	on	on	ADP
ajst-5048	22	39	bit	bit	NOUN
ajst-5048	22	40	,	,	PUNCT
ajst-5048	22	41	hook	hook	NOUN
ajst-5048	22	42	load	load	NOUN
ajst-5048	22	43	,	,	PUNCT
ajst-5048	22	44	speed	speed	NOUN
ajst-5048	22	45	,	,	PUNCT
ajst-5048	22	46	rotary	rotary	ADJ
ajst-5048	22	47	torque	torque	NOUN
ajst-5048	22	48	,	,	PUNCT
ajst-5048	22	49	and	and	CCONJ
ajst-5048	22	50	inlet	inlet	VERB
ajst-5048	22	51	and	and	CCONJ
ajst-5048	22	52	outlet	outlet	NOUN
ajst-5048	22	53	flow	flow	NOUN
ajst-5048	22	54	data	datum	NOUN
ajst-5048	22	55	.	.	PUNCT
ajst-5048	23	1	2	2	X
ajst-5048	23	2	.	.	X
ajst-5048	23	3	cuttings	cutting	NOUN
ajst-5048	23	4	weighing	weigh	VERB
ajst-5048	23	5	device	device	NOUN
ajst-5048	23	6	the	the	DET
ajst-5048	23	7	main	main	ADJ
ajst-5048	23	8	function	function	NOUN
ajst-5048	23	9	of	of	ADP
ajst-5048	23	10	the	the	DET
ajst-5048	23	11	cuttings	cutting	NOUN
ajst-5048	23	12	weighing	weigh	VERB
ajst-5048	23	13	device	device	NOUN
ajst-5048	23	14	is	be	AUX
ajst-5048	23	15	to	to	PART
ajst-5048	23	16	complete	complete	VERB
ajst-5048	23	17	the	the	DET
ajst-5048	23	18	collection	collection	NOUN
ajst-5048	23	19	,	,	PUNCT
ajst-5048	23	20	measurement	measurement	NOUN
ajst-5048	23	21	,	,	PUNCT
ajst-5048	23	22	dumping	dumping	NOUN
ajst-5048	23	23	,	,	PUNCT
ajst-5048	23	24	hanging	hang	VERB
ajst-5048	23	25	sweep	sweep	NOUN
ajst-5048	23	26	,	,	PUNCT
ajst-5048	23	27	weighing	weighing	NOUN
ajst-5048	23	28	and	and	CCONJ
ajst-5048	23	29	other	other	ADJ
ajst-5048	23	30	functions	function	NOUN
ajst-5048	23	31	of	of	ADP
ajst-5048	23	32	returned	return	VERB
ajst-5048	23	33	cuttings	cutting	NOUN
ajst-5048	23	34	[	[	X
ajst-5048	23	35	9	9	NUM
ajst-5048	23	36	]	]	PUNCT
ajst-5048	23	37	.	.	PUNCT
ajst-5048	24	1	cuttings	cutting	NOUN
ajst-5048	24	2	weighing	weigh	VERB
ajst-5048	24	3	device	device	NOUN
ajst-5048	24	4	includes	include	VERB
ajst-5048	24	5	programmable	programmable	ADJ
ajst-5048	24	6	logic	logic	NOUN
ajst-5048	24	7	controller	controller	NOUN
ajst-5048	24	8	,	,	PUNCT
ajst-5048	24	9	weighing	weigh	VERB
ajst-5048	24	10	sensor	sensor	NOUN
ajst-5048	24	11	,	,	PUNCT
ajst-5048	24	12	position	position	NOUN
ajst-5048	24	13	sensor	sensor	NOUN
ajst-5048	24	14	,	,	PUNCT
ajst-5048	24	15	pressure	pressure	NOUN
ajst-5048	24	16	sensor	sensor	NOUN
ajst-5048	24	17	and	and	CCONJ
ajst-5048	24	18	other	other	ADJ
ajst-5048	24	19	sensors	sensor	NOUN
ajst-5048	24	20	and	and	CCONJ
ajst-5048	24	21	cylinder	cylinder	NOUN
ajst-5048	24	22	actuator	actuator	NOUN
ajst-5048	24	23	.	.	PUNCT
ajst-5048	25	1	the	the	DET
ajst-5048	25	2	programmable	programmable	ADJ
ajst-5048	25	3	logic	logic	NOUN
ajst-5048	25	4	controller	controller	NOUN
ajst-5048	25	5	not	not	PART
ajst-5048	25	6	only	only	ADV
ajst-5048	25	7	completes	complete	VERB
ajst-5048	25	8	the	the	DET
ajst-5048	25	9	collection	collection	NOUN
ajst-5048	25	10	,	,	PUNCT
ajst-5048	25	11	measurement	measurement	NOUN
ajst-5048	25	12	,	,	PUNCT
ajst-5048	25	13	dumping	dumping	NOUN
ajst-5048	25	14	,	,	PUNCT
ajst-5048	25	15	hanging	hang	VERB
ajst-5048	25	16	sweep	sweep	NOUN
ajst-5048	25	17	,	,	PUNCT
ajst-5048	25	18	weighing	weighing	NOUN
ajst-5048	25	19	and	and	CCONJ
ajst-5048	25	20	other	other	ADJ
ajst-5048	25	21	functions	function	NOUN
ajst-5048	25	22	of	of	ADP
ajst-5048	25	23	the	the	DET
ajst-5048	25	24	returned	return	VERB
ajst-5048	25	25	cuttings	cutting	NOUN
ajst-5048	25	26	,	,	PUNCT
ajst-5048	25	27	but	but	CCONJ
ajst-5048	25	28	also	also	ADV
ajst-5048	25	29	sends	send	VERB
ajst-5048	25	30	the	the	DET
ajst-5048	25	31	collected	collect	VERB
ajst-5048	25	32	data	datum	NOUN
ajst-5048	25	33	to	to	ADP
ajst-5048	25	34	the	the	DET
ajst-5048	25	35	upper	upper	ADJ
ajst-5048	25	36	computer	computer	NOUN
ajst-5048	25	37	through	through	ADP
ajst-5048	25	38	the	the	DET
ajst-5048	25	39	corresponding	corresponding	ADJ
ajst-5048	25	40	communication	communication	NOUN
ajst-5048	25	41	port	port	NOUN
ajst-5048	25	42	.	.	PUNCT
ajst-5048	26	1	figure	figure	NOUN
ajst-5048	26	2	2	2	NUM
ajst-5048	26	3	.	.	PUNCT
ajst-5048	27	1	cuttings	cutting	NOUN
ajst-5048	27	2	weighing	weigh	VERB
ajst-5048	27	3	device	device	NOUN
ajst-5048	27	4	3	3	NUM
ajst-5048	27	5	.	.	PUNCT
ajst-5048	28	1	cuttings	cutting	NOUN
ajst-5048	28	2	weighing	weigh	VERB
ajst-5048	28	3	upper	upper	ADJ
ajst-5048	28	4	machine	machine	NOUN
ajst-5048	28	5	the	the	DET
ajst-5048	28	6	main	main	ADJ
ajst-5048	28	7	function	function	NOUN
ajst-5048	28	8	of	of	ADP
ajst-5048	28	9	the	the	DET
ajst-5048	28	10	cuttings	cutting	NOUN
ajst-5048	28	11	weighing	weigh	VERB
ajst-5048	28	12	upper	upper	ADJ
ajst-5048	28	13	computer	computer	NOUN
ajst-5048	28	14	is	be	AUX
ajst-5048	28	15	to	to	PART
ajst-5048	28	16	control	control	VERB
ajst-5048	28	17	the	the	DET
ajst-5048	28	18	cuttings	cutting	NOUN
ajst-5048	28	19	weighing	weigh	VERB
ajst-5048	28	20	device	device	NOUN
ajst-5048	28	21	,	,	PUNCT
ajst-5048	28	22	calculate	calculate	NOUN
ajst-5048	28	23	,	,	PUNCT
ajst-5048	28	24	analyze	analyze	VERB
ajst-5048	28	25	and	and	CCONJ
ajst-5048	28	26	store	store	VERB
ajst-5048	28	27	the	the	DET
ajst-5048	28	28	data	datum	NOUN
ajst-5048	28	29	collected	collect	VERB
ajst-5048	28	30	by	by	ADP
ajst-5048	28	31	the	the	DET
ajst-5048	28	32	cuttings	cutting	NOUN
ajst-5048	28	33	weighing	weigh	VERB
ajst-5048	28	34	device	device	NOUN
ajst-5048	28	35	in	in	ADP
ajst-5048	28	36	combination	combination	NOUN
ajst-5048	28	37	with	with	ADP
ajst-5048	28	38	the	the	DET
ajst-5048	28	39	data	datum	NOUN
ajst-5048	28	40	of	of	ADP
ajst-5048	28	41	the	the	DET
ajst-5048	28	42	comprehensive	comprehensive	ADJ
ajst-5048	28	43	logging	logging	NOUN
ajst-5048	28	44	instrument	instrument	NOUN
ajst-5048	28	45	,	,	PUNCT
ajst-5048	28	46	and	and	CCONJ
ajst-5048	28	47	display	display	VERB
ajst-5048	28	48	the	the	DET
ajst-5048	28	49	real	real	ADJ
ajst-5048	28	50	-	-	PUNCT
ajst-5048	28	51	time	time	NOUN
ajst-5048	28	52	curve	curve	NOUN
ajst-5048	28	53	of	of	ADP
ajst-5048	28	54	the	the	DET
ajst-5048	28	55	theoretical	theoretical	ADJ
ajst-5048	28	56	and	and	CCONJ
ajst-5048	28	57	practical	practical	ADJ
ajst-5048	28	58	instantaneous	instantaneous	ADJ
ajst-5048	28	59	,	,	PUNCT
ajst-5048	28	60	whole	whole	ADJ
ajst-5048	28	61	-	-	PUNCT
ajst-5048	28	62	meter	meter	NOUN
ajst-5048	28	63	and	and	CCONJ
ajst-5048	28	64	column	column	NOUN
ajst-5048	28	65	cuttings	cutting	NOUN
ajst-5048	28	66	flow	flow	VERB
ajst-5048	28	67	[	[	X
ajst-5048	28	68	10	10	NUM
ajst-5048	28	69	]	]	PUNCT
ajst-5048	28	70	.	.	PUNCT
ajst-5048	29	1	meanwhile	meanwhile	ADV
ajst-5048	29	2	,	,	PUNCT
ajst-5048	29	3	it	it	PRON
ajst-5048	29	4	is	be	AUX
ajst-5048	29	5	necessary	necessary	ADJ
ajst-5048	29	6	to	to	PART
ajst-5048	29	7	synchronize	synchronize	VERB
ajst-5048	29	8	communication	communication	NOUN
ajst-5048	29	9	with	with	ADP
ajst-5048	29	10	the	the	DET
ajst-5048	29	11	cuttings	cutting	NOUN
ajst-5048	29	12	weighing	weigh	VERB
ajst-5048	29	13	device	device	NOUN
ajst-5048	29	14	and	and	CCONJ
ajst-5048	29	15	the	the	DET
ajst-5048	29	16	comprehensive	comprehensive	ADJ
ajst-5048	29	17	logging	logging	NOUN
ajst-5048	29	18	instrument	instrument	NOUN
ajst-5048	29	19	.	.	PUNCT
ajst-5048	30	1	although	although	SCONJ
ajst-5048	30	2	the	the	DET
ajst-5048	30	3	cuttings	cutting	NOUN
ajst-5048	30	4	flow	flow	NOUN
ajst-5048	30	5	measurement	measurement	NOUN
ajst-5048	30	6	system	system	NOUN
ajst-5048	30	7	can	can	AUX
ajst-5048	30	8	measure	measure	VERB
ajst-5048	30	9	the	the	DET
ajst-5048	30	10	mass	mass	NOUN
ajst-5048	30	11	flow	flow	NOUN
ajst-5048	30	12	rate	rate	NOUN
ajst-5048	30	13	of	of	ADP
ajst-5048	30	14	returned	return	VERB
ajst-5048	30	15	cuttings	cutting	NOUN
ajst-5048	30	16	in	in	ADP
ajst-5048	30	17	real	real	ADJ
ajst-5048	30	18	time	time	NOUN
ajst-5048	30	19	,	,	PUNCT
ajst-5048	30	20	due	due	ADP
ajst-5048	30	21	to	to	ADP
ajst-5048	30	22	the	the	DET
ajst-5048	30	23	harsh	harsh	ADJ
ajst-5048	30	24	working	work	VERB
ajst-5048	30	25	environment	environment	NOUN
ajst-5048	30	26	and	and	CCONJ
ajst-5048	30	27	other	other	ADJ
ajst-5048	30	28	factors	factor	NOUN
ajst-5048	30	29	at	at	ADP
ajst-5048	30	30	the	the	DET
ajst-5048	30	31	site	site	NOUN
ajst-5048	30	32	,	,	PUNCT
ajst-5048	30	33	the	the	DET
ajst-5048	30	34	cuttings	cutting	NOUN
ajst-5048	30	35	weighing	weigh	VERB
ajst-5048	30	36	device	device	NOUN
ajst-5048	30	37	may	may	AUX
ajst-5048	30	38	fail	fail	VERB
ajst-5048	30	39	or	or	CCONJ
ajst-5048	30	40	the	the	DET
ajst-5048	30	41	acquisition	acquisition	NOUN
ajst-5048	30	42	data	datum	NOUN
ajst-5048	30	43	may	may	AUX
ajst-5048	30	44	be	be	AUX
ajst-5048	30	45	lost	lose	VERB
ajst-5048	30	46	.	.	PUNCT
ajst-5048	31	1	these	these	DET
ajst-5048	31	2	failures	failure	NOUN
ajst-5048	31	3	will	will	AUX
ajst-5048	31	4	result	result	VERB
ajst-5048	31	5	in	in	ADP
ajst-5048	31	6	incomplete	incomplete	ADJ
ajst-5048	31	7	data	datum	NOUN
ajst-5048	31	8	,	,	PUNCT
ajst-5048	31	9	which	which	PRON
ajst-5048	31	10	will	will	AUX
ajst-5048	31	11	affect	affect	VERB
ajst-5048	31	12	the	the	DET
ajst-5048	31	13	drilling	drilling	NOUN
ajst-5048	31	14	and	and	CCONJ
ajst-5048	31	15	logging	logging	NOUN
ajst-5048	31	16	of	of	ADP
ajst-5048	31	17	horizontal	horizontal	ADJ
ajst-5048	31	18	wells	well	NOUN
ajst-5048	31	19	and	and	CCONJ
ajst-5048	31	20	lead	lead	VERB
ajst-5048	31	21	to	to	ADP
ajst-5048	31	22	safety	safety	NOUN
ajst-5048	31	23	accidents	accident	NOUN
ajst-5048	31	24	.	.	PUNCT
ajst-5048	32	1	the	the	DET
ajst-5048	32	2	cuttings	cutting	NOUN
ajst-5048	32	3	flow	flow	NOUN
ajst-5048	32	4	prediction	prediction	NOUN
ajst-5048	32	5	model	model	NOUN
ajst-5048	32	6	in	in	ADP
ajst-5048	32	7	this	this	DET
ajst-5048	32	8	paper	paper	NOUN
ajst-5048	32	9	is	be	AUX
ajst-5048	32	10	to	to	PART
ajst-5048	32	11	predict	predict	VERB
ajst-5048	32	12	the	the	DET
ajst-5048	32	13	data	datum	NOUN
ajst-5048	32	14	of	of	ADP
ajst-5048	32	15	a	a	DET
ajst-5048	32	16	certain	certain	ADJ
ajst-5048	32	17	point	point	NOUN
ajst-5048	32	18	in	in	ADP
ajst-5048	32	19	the	the	DET
ajst-5048	32	20	acquisition	acquisition	NOUN
ajst-5048	32	21	cycle	cycle	NOUN
ajst-5048	32	22	of	of	ADP
ajst-5048	32	23	the	the	DET
ajst-5048	32	24	cuttings	cutting	NOUN
ajst-5048	32	25	weighing	weigh	VERB
ajst-5048	32	26	device	device	NOUN
ajst-5048	32	27	,	,	PUNCT
ajst-5048	32	28	which	which	PRON
ajst-5048	32	29	solves	solve	VERB
ajst-5048	32	30	the	the	DET
ajst-5048	32	31	problem	problem	NOUN
ajst-5048	32	32	of	of	ADP
ajst-5048	32	33	incomplete	incomplete	ADJ
ajst-5048	32	34	data	datum	NOUN
ajst-5048	32	35	caused	cause	VERB
ajst-5048	32	36	by	by	ADP
ajst-5048	32	37	the	the	DET
ajst-5048	32	38	failure	failure	NOUN
ajst-5048	32	39	of	of	ADP
ajst-5048	32	40	the	the	DET
ajst-5048	32	41	cuttings	cutting	NOUN
ajst-5048	32	42	weighing	weigh	VERB
ajst-5048	32	43	device	device	NOUN
ajst-5048	32	44	.	.	PUNCT
ajst-5048	33	1	3	3	X
ajst-5048	33	2	.	.	X
ajst-5048	33	3	establishment	establishment	NOUN
ajst-5048	33	4	of	of	ADP
ajst-5048	33	5	cuttings	cutting	NOUN
ajst-5048	33	6	flow	flow	NOUN
ajst-5048	33	7	prediction	prediction	NOUN
ajst-5048	33	8	model	model	NOUN
ajst-5048	33	9	in	in	ADP
ajst-5048	33	10	order	order	NOUN
ajst-5048	33	11	to	to	PART
ajst-5048	33	12	solve	solve	VERB
ajst-5048	33	13	the	the	DET
ajst-5048	33	14	problem	problem	NOUN
ajst-5048	33	15	of	of	ADP
ajst-5048	33	16	incomplete	incomplete	ADJ
ajst-5048	33	17	and	and	CCONJ
ajst-5048	33	18	discontinuous	discontinuous	ADJ
ajst-5048	33	19	cuttings	cutting	NOUN
ajst-5048	33	20	flow	flow	NOUN
ajst-5048	33	21	data	datum	NOUN
ajst-5048	33	22	caused	cause	VERB
ajst-5048	33	23	by	by	ADP
ajst-5048	33	24	the	the	DET
ajst-5048	33	25	failure	failure	NOUN
ajst-5048	33	26	of	of	ADP
ajst-5048	33	27	cuttings	cutting	NOUN
ajst-5048	33	28	flow	flow	VERB
ajst-5048	33	29	metering	metering	NOUN
ajst-5048	33	30	device	device	NOUN
ajst-5048	33	31	,	,	PUNCT
ajst-5048	33	32	three	three	NUM
ajst-5048	33	33	cuttings	cutting	NOUN
ajst-5048	33	34	flow	flow	NOUN
ajst-5048	33	35	metering	metering	NOUN
ajst-5048	33	36	prediction	prediction	NOUN
ajst-5048	33	37	models	model	NOUN
ajst-5048	33	38	are	be	AUX
ajst-5048	33	39	studied	study	VERB
ajst-5048	33	40	in	in	ADP
ajst-5048	33	41	this	this	DET
ajst-5048	33	42	paper	paper	NOUN
ajst-5048	33	43	,	,	PUNCT
ajst-5048	33	44	which	which	PRON
ajst-5048	33	45	are	be	AUX
ajst-5048	33	46	polynomial	polynomial	ADJ
ajst-5048	33	47	fitting	fitting	ADJ
ajst-5048	33	48	model	model	NOUN
ajst-5048	33	49	,	,	PUNCT
ajst-5048	33	50	least	least	ADJ
ajst-5048	33	51	square	square	ADJ
ajst-5048	33	52	linear	linear	ADJ
ajst-5048	33	53	fitting	fitting	ADJ
ajst-5048	33	54	model	model	NOUN
ajst-5048	33	55	and	and	CCONJ
ajst-5048	33	56	bp	bp	PROPN
ajst-5048	33	57	neural	neural	PROPN
ajst-5048	33	58	network	network	PROPN
ajst-5048	33	59	model	model	NOUN
ajst-5048	33	60	.	.	PUNCT
ajst-5048	34	1	the	the	DET
ajst-5048	34	2	cuttings	cutting	NOUN
ajst-5048	34	3	metering	meter	VERB
ajst-5048	34	4	device	device	NOUN
ajst-5048	34	5	collected	collect	VERB
ajst-5048	34	6	a	a	DET
ajst-5048	34	7	total	total	NOUN
ajst-5048	34	8	of	of	ADP
ajst-5048	34	9	n	n	DET
ajst-5048	34	10	quality	quality	NOUN
ajst-5048	34	11	data	datum	NOUN
ajst-5048	34	12	of	of	ADP
ajst-5048	34	13	returned	return	VERB
ajst-5048	34	14	cuttings	cutting	NOUN
ajst-5048	34	15	during	during	ADP
ajst-5048	34	16	the	the	DET
ajst-5048	34	17	metering	metering	NOUN
ajst-5048	34	18	period	period	NOUN
ajst-5048	34	19	,	,	PUNCT
ajst-5048	34	20	and	and	CCONJ
ajst-5048	34	21	each	each	DET
ajst-5048	34	22	data	datum	NOUN
ajst-5048	34	23	was	be	AUX
ajst-5048	34	24	composed	compose	VERB
ajst-5048	34	25	of	of	ADP
ajst-5048	34	26	x	x	PUNCT
ajst-5048	34	27	and	and	CCONJ
ajst-5048	34	28	y	y	PROPN
ajst-5048	34	29	variables	variable	NOUN
ajst-5048	34	30	.	.	PUNCT
ajst-5048	35	1	variable	variable	NOUN
ajst-5048	35	2	x	x	PRON
ajst-5048	35	3	represents	represent	VERB
ajst-5048	35	4	the	the	DET
ajst-5048	35	5	time	time	NOUN
ajst-5048	35	6	interval	interval	NOUN
ajst-5048	35	7	for	for	ADP
ajst-5048	35	8	recording	record	VERB
ajst-5048	35	9	the	the	DET
ajst-5048	35	10	quality	quality	NOUN
ajst-5048	35	11	of	of	ADP
ajst-5048	35	12	returned	return	VERB
ajst-5048	35	13	cuttings	cutting	NOUN
ajst-5048	35	14	;	;	PUNCT
ajst-5048	35	15	y	y	PROPN
ajst-5048	35	16	is	be	AUX
ajst-5048	35	17	the	the	DET
ajst-5048	35	18	mass	mass	NOUN
ajst-5048	35	19	of	of	ADP
ajst-5048	35	20	the	the	DET
ajst-5048	35	21	returned	return	VERB
ajst-5048	35	22	cuttings	cutting	NOUN
ajst-5048	35	23	.	.	PUNCT
ajst-5048	36	1	let	let	VERB
ajst-5048	36	2	's	us	PRON
ajst-5048	36	3	use	use	VERB
ajst-5048	36	4			NOUN
ajst-5048	36	5			PROPN
ajst-5048	36	6	,	,	PUNCT
ajst-5048	36	7	,	,	PUNCT
ajst-5048	36	8	1	1	NUM
ajst-5048	36	9	,	,	PUNCT
ajst-5048	36	10	2,3	2,3	NUM
ajst-5048	36	11	,	,	PUNCT
ajst-5048	36	12	,	,	PUNCT
ajst-5048	36	13	i	i	PRON
ajst-5048	36	14	ix	ix	VERB
ajst-5048	36	15	y	y	PROPN
ajst-5048	37	1	i	i	PRON
ajst-5048	37	2	n	n	PROPN
ajst-5048	37	3	�	�	PROPN
ajst-5048	37	4	to	to	PART
ajst-5048	37	5	represent	represent	VERB
ajst-5048	37	6	a	a	DET
ajst-5048	37	7	point	point	NOUN
ajst-5048	37	8	in	in	ADP
ajst-5048	37	9	the	the	DET
ajst-5048	37	10	data	datum	NOUN
ajst-5048	37	11	.	.	PUNCT
ajst-5048	38	1	3.1	3.1	NUM
ajst-5048	38	2	.	.	PUNCT
ajst-5048	38	3	polynomial	polynomial	ADJ
ajst-5048	38	4	prediction	prediction	NOUN
ajst-5048	38	5	model	model	NOUN
ajst-5048	38	6	polynomial	polynomial	ADJ
ajst-5048	38	7	prediction	prediction	NOUN
ajst-5048	38	8	model	model	NOUN
ajst-5048	38	9	:	:	PUNCT
ajst-5048	38	10	1	1	NUM
ajst-5048	38	11	2	2	NUM
ajst-5048	38	12	0	0	NUM
ajst-5048	38	13	1	1	NUM
ajst-5048	38	14	2	2	NUM
ajst-5048	38	15	1ˆ	1ˆ	NUM
ajst-5048	38	16	n	n	CCONJ
ajst-5048	38	17	n	n	CCONJ
ajst-5048	38	18	n	n	CCONJ
ajst-5048	38	19	n	n	ADV
ajst-5048	38	20	ny	ny	NOUN
ajst-5048	39	1	a	a	DET
ajst-5048	39	2	x	x	SYM
ajst-5048	39	3	a	a	DET
ajst-5048	39	4	x	x	SYM
ajst-5048	39	5	a	a	PRON
ajst-5048	39	6	x	x	SYM
ajst-5048	39	7	a	a	PRON
ajst-5048	39	8	x	x	PUNCT
ajst-5048	39	9	a	a	VERB
ajst-5048	39	10			PROPN
ajst-5048	39	11			PROPN
ajst-5048	39	12			PUNCT
ajst-5048	39	13			PROPN
ajst-5048	39	14			PROPN
ajst-5048	39	15			PROPN
ajst-5048	39	16			PROPN
ajst-5048	39	17	�	�	PROPN
ajst-5048	39	18	(	(	PUNCT
ajst-5048	39	19	1	1	NUM
ajst-5048	39	20	)	)	PUNCT
ajst-5048	39	21	substitute	substitute	NOUN
ajst-5048	39	22	into	into	ADP
ajst-5048	39	23	equation	equation	NOUN
ajst-5048	39	24	(	(	PUNCT
ajst-5048	39	25	1	1	NUM
ajst-5048	39	26	)	)	PUNCT
ajst-5048	39	27	to	to	PART
ajst-5048	39	28	get	get	VERB
ajst-5048	39	29	:	:	PUNCT
ajst-5048	39	30	1	1	NUM
ajst-5048	39	31	2	2	NUM
ajst-5048	39	32	0	0	NUM
ajst-5048	39	33	1	1	NUM
ajst-5048	39	34	2	2	NUM
ajst-5048	39	35	1ˆ	1ˆ	NUM
ajst-5048	39	36	n	n	CCONJ
ajst-5048	39	37	n	n	CCONJ
ajst-5048	39	38	n	n	NOUN
ajst-5048	40	1	i	i	PRON
ajst-5048	40	2	i	i	PRON
ajst-5048	41	1	i	i	PRON
ajst-5048	41	2	i	i	PRON
ajst-5048	42	1	n	n	VERB
ajst-5048	43	1	i	i	PRON
ajst-5048	43	2	ny	ny	PROPN
ajst-5048	44	1	a	a	PRON
ajst-5048	44	2	x	x	SYM
ajst-5048	44	3	a	a	DET
ajst-5048	44	4	x	x	SYM
ajst-5048	44	5	a	a	PRON
ajst-5048	44	6	x	x	SYM
ajst-5048	44	7	a	a	PRON
ajst-5048	44	8	x	x	PUNCT
ajst-5048	44	9	a	a	VERB
ajst-5048	44	10			PROPN
ajst-5048	44	11			PROPN
ajst-5048	44	12			PUNCT
ajst-5048	44	13			PROPN
ajst-5048	44	14			PROPN
ajst-5048	44	15			PROPN
ajst-5048	44	16			PROPN
ajst-5048	44	17	�	�	PROPN
ajst-5048	45	1	(	(	PUNCT
ajst-5048	45	2	2	2	NUM
ajst-5048	45	3	)	)	PUNCT
ajst-5048	45	4	all	all	DET
ajst-5048	45	5	deviations	deviation	NOUN
ajst-5048	45	6	from	from	ADP
ajst-5048	45	7	ˆiy	ˆiy	NOUN
ajst-5048	45	8	and	and	CCONJ
ajst-5048	45	9	sample	sample	NOUN
ajst-5048	45	10	point	point	NOUN
ajst-5048	45	11	iy	iy	PROPN
ajst-5048	45	12	are	be	AUX
ajst-5048	45	13	represented	represent	VERB
ajst-5048	45	14	by	by	ADP
ajst-5048	45	15	the	the	DET
ajst-5048	45	16	sum	sum	NOUN
ajst-5048	45	17	of	of	ADP
ajst-5048	45	18	error	error	NOUN
ajst-5048	45	19	squares	square	NOUN
ajst-5048	45	20	,	,	PUNCT
ajst-5048	45	21	denoted	denote	VERB
ajst-5048	45	22	as	as	ADP
ajst-5048	45	23	:	:	PUNCT
ajst-5048	45	24			NOUN
ajst-5048	45	25			PROPN
ajst-5048	45	26			NOUN
ajst-5048	45	27			NOUN
ajst-5048	45	28	2	2	NUM
ajst-5048	45	29	2	2	NUM
ajst-5048	45	30	1	1	NUM
ajst-5048	45	31	2	2	NUM
ajst-5048	45	32	0	0	NUM
ajst-5048	45	33	1	1	NUM
ajst-5048	45	34	2	2	NUM
ajst-5048	45	35	1	1	NUM
ajst-5048	45	36	1	1	NUM
ajst-5048	45	37	1	1	NUM
ajst-5048	45	38	ˆ	ˆ	NOUN
ajst-5048	45	39	n	n	ADP
ajst-5048	45	40	n	n	CCONJ
ajst-5048	45	41	n	n	CCONJ
ajst-5048	45	42	n	n	CCONJ
ajst-5048	45	43	n	n	NOUN
ajst-5048	46	1	i	i	PRON
ajst-5048	46	2	i	i	PRON
ajst-5048	47	1	i	i	PRON
ajst-5048	47	2	i	i	VERB
ajst-5048	48	1	i	i	PRON
ajst-5048	48	2	n	n	VERB
ajst-5048	49	1	i	i	PRON
ajst-5048	49	2	n	n	VERB
ajst-5048	50	1	i	i	PRON
ajst-5048	50	2	i	i	PRON
ajst-5048	51	1	i	i	VERB
ajst-5048	51	2	y	y	VERB
ajst-5048	51	3	y	y	PROPN
ajst-5048	51	4	a	a	DET
ajst-5048	51	5	x	x	X
ajst-5048	51	6	a	a	DET
ajst-5048	51	7	x	x	SYM
ajst-5048	51	8	a	a	DET
ajst-5048	51	9	x	x	SYM
ajst-5048	51	10	a	a	DET
ajst-5048	51	11	x	x	X
ajst-5048	51	12	a	a	DET
ajst-5048	51	13	y	y	PROPN
ajst-5048	51	14			PROPN
ajst-5048	51	15			PROPN
ajst-5048	51	16			PROPN
ajst-5048	51	17			PROPN
ajst-5048	51	18			NUM
ajst-5048	52	1			PROPN
ajst-5048	52	2			PROPN
ajst-5048	52	3			PROPN
ajst-5048	52	4			PROPN
ajst-5048	52	5			PROPN
ajst-5048	52	6			PROPN
ajst-5048	52	7			PROPN
ajst-5048	52	8			PUNCT
ajst-5048	52	9			PUNCT
ajst-5048	52	10			NOUN
ajst-5048	52	11			NOUN
ajst-5048	52	12			X
ajst-5048	52	13	�	�	PROPN
ajst-5048	52	14	(	(	PUNCT
ajst-5048	52	15	3	3	NUM
ajst-5048	52	16	)	)	SYM
ajst-5048	52	17	151	151	NUM
ajst-5048	52	18	(	(	PUNCT
ajst-5048	52	19	0,1	0,1	NUM
ajst-5048	52	20	,	,	PUNCT
ajst-5048	52	21	,	,	PUNCT
ajst-5048	52	22	)	)	PUNCT
ajst-5048	53	1	ja	ja	PROPN
ajst-5048	53	2	j	j	PROPN
ajst-5048	53	3	n	n	PROPN
ajst-5048	53	4	�	�	PROPN
ajst-5048	53	5	,	,	PUNCT
ajst-5048	53	6	where	where	SCONJ
ajst-5048	53	7			PROPN
ajst-5048	53	8	is	be	AUX
ajst-5048	53	9	minimized	minimize	VERB
ajst-5048	53	10	,	,	PUNCT
ajst-5048	53	11	is	be	AUX
ajst-5048	53	12	the	the	DET
ajst-5048	53	13	best	well	ADV
ajst-5048	53	14	fitting	fitting	ADJ
ajst-5048	53	15	coefficient	coefficient	NOUN
ajst-5048	53	16	.	.	PUNCT
ajst-5048	54	1	the	the	DET
ajst-5048	54	2	partial	partial	ADJ
ajst-5048	54	3	derivative	derivative	NOUN
ajst-5048	54	4	of	of	ADP
ajst-5048	54	5	equation	equation	NOUN
ajst-5048	54	6	(	(	PUNCT
ajst-5048	54	7	3	3	NUM
ajst-5048	54	8	)	)	PUNCT
ajst-5048	54	9	with	with	ADP
ajst-5048	54	10	respect	respect	NOUN
ajst-5048	54	11	to	to	ADP
ajst-5048	54	12	(	(	PUNCT
ajst-5048	54	13	0,1	0,1	NUM
ajst-5048	54	14	,	,	PUNCT
ajst-5048	54	15	,	,	PUNCT
ajst-5048	54	16	)	)	PUNCT
ajst-5048	54	17	ja	ja	PROPN
ajst-5048	54	18	j	j	PROPN
ajst-5048	54	19	n	n	PROPN
ajst-5048	54	20	�	�	PROPN
ajst-5048	54	21	is	be	AUX
ajst-5048	54	22	obtained	obtain	VERB
ajst-5048	54	23	by	by	ADP
ajst-5048	54	24	setting	set	VERB
ajst-5048	54	25	the	the	DET
ajst-5048	54	26	partial	partial	ADJ
ajst-5048	54	27	derivative	derivative	NOUN
ajst-5048	54	28	equal	equal	ADJ
ajst-5048	54	29	to	to	ADP
ajst-5048	54	30	0	0	NUM
ajst-5048	54	31	.	.	PUNCT
ajst-5048	55	1			NOUN
ajst-5048	55	2	1	1	VERB
ajst-5048	55	3	2	2	NUM
ajst-5048	55	4	0	0	NUM
ajst-5048	55	5	1	1	NUM
ajst-5048	55	6	2	2	NUM
ajst-5048	55	7	1	1	NUM
ajst-5048	55	8	1	1	NUM
ajst-5048	55	9	2	2	NUM
ajst-5048	55	10	0	0	NUM
ajst-5048	55	11	n	n	CCONJ
ajst-5048	55	12	n	n	PRON
ajst-5048	55	13	j	j	PROPN
ajst-5048	55	14	n	n	CCONJ
ajst-5048	55	15	n	n	CCONJ
ajst-5048	55	16	n	n	NOUN
ajst-5048	56	1	i	i	PRON
ajst-5048	56	2	i	i	PRON
ajst-5048	57	1	i	i	PRON
ajst-5048	57	2	i	i	PRON
ajst-5048	58	1	n	n	VERB
ajst-5048	59	1	i	i	PRON
ajst-5048	60	1	n	n	VERB
ajst-5048	61	1	i	i	PRON
ajst-5048	61	2	ij	ij	VERB
ajst-5048	61	3	x	x	X
ajst-5048	61	4	a	a	PRON
ajst-5048	61	5	x	x	X
ajst-5048	61	6	a	a	DET
ajst-5048	61	7	x	x	SYM
ajst-5048	61	8	a	a	DET
ajst-5048	61	9	x	x	SYM
ajst-5048	61	10	a	a	PRON
ajst-5048	61	11	x	x	SYM
ajst-5048	61	12	a	a	DET
ajst-5048	61	13	y	y	PROPN
ajst-5048	61	14	a	a	DET
ajst-5048	61	15			PROPN
ajst-5048	61	16			PROPN
ajst-5048	61	17			PROPN
ajst-5048	61	18			PROPN
ajst-5048	61	19			PROPN
ajst-5048	61	20			PROPN
ajst-5048	61	21			PROPN
ajst-5048	61	22			PROPN
ajst-5048	61	23			PROPN
ajst-5048	61	24			PROPN
ajst-5048	61	25			PROPN
ajst-5048	61	26			PROPN
ajst-5048	61	27			PUNCT
ajst-5048	61	28			VERB
ajst-5048	61	29			PROPN
ajst-5048	61	30			NUM
ajst-5048	61	31			PROPN
ajst-5048	61	32			PROPN
ajst-5048	61	33	�	�	PROPN
ajst-5048	61	34	(	(	PUNCT
ajst-5048	61	35	4	4	NUM
ajst-5048	61	36	)	)	PUNCT
ajst-5048	61	37	according	accord	VERB
ajst-5048	61	38	to	to	ADP
ajst-5048	61	39	equation	equation	NOUN
ajst-5048	61	40	(	(	PUNCT
ajst-5048	61	41	4	4	NUM
ajst-5048	61	42	)	)	PUNCT
ajst-5048	61	43	,	,	PUNCT
ajst-5048	61	44	a	a	DET
ajst-5048	61	45	set	set	NOUN
ajst-5048	61	46	of	of	ADP
ajst-5048	61	47	fitting	fitting	ADJ
ajst-5048	61	48	coefficients	coefficient	NOUN
ajst-5048	61	49	(	(	PUNCT
ajst-5048	61	50	0,1	0,1	NUM
ajst-5048	61	51	,	,	PUNCT
ajst-5048	61	52	,	,	PUNCT
ajst-5048	61	53	)	)	PUNCT
ajst-5048	61	54	ja	ja	PROPN
ajst-5048	61	55	j	j	PROPN
ajst-5048	61	56	n	n	PROPN
ajst-5048	61	57	�	�	PROPN
ajst-5048	61	58	can	can	AUX
ajst-5048	61	59	be	be	AUX
ajst-5048	61	60	solved	solve	VERB
ajst-5048	61	61	to	to	ADP
ajst-5048	61	62	minimize	minimize	PROPN
ajst-5048	61	63	,	,	PUNCT
ajst-5048	61	64	which	which	PRON
ajst-5048	61	65	is	be	AUX
ajst-5048	61	66	the	the	DET
ajst-5048	61	67	best	well	ADV
ajst-5048	61	68	fitting	fitting	ADJ
ajst-5048	61	69	coefficient	coefficient	NOUN
ajst-5048	61	70	.	.	PUNCT
ajst-5048	62	1	3.2	3.2	NUM
ajst-5048	62	2	.	.	PUNCT
ajst-5048	63	1	least	least	ADJ
ajst-5048	63	2	square	square	ADJ
ajst-5048	63	3	linear	linear	ADJ
ajst-5048	63	4	prediction	prediction	NOUN
ajst-5048	63	5	model	model	NOUN
ajst-5048	63	6	the	the	DET
ajst-5048	63	7	calculation	calculation	NOUN
ajst-5048	63	8	method	method	NOUN
ajst-5048	63	9	of	of	ADP
ajst-5048	63	10	the	the	DET
ajst-5048	63	11	least	least	ADJ
ajst-5048	63	12	square	square	ADJ
ajst-5048	63	13	linear	linear	ADJ
ajst-5048	63	14	prediction	prediction	NOUN
ajst-5048	63	15	model	model	NOUN
ajst-5048	63	16	for	for	ADP
ajst-5048	63	17	the	the	DET
ajst-5048	63	18	flow	flow	NOUN
ajst-5048	63	19	of	of	ADP
ajst-5048	63	20	returned	return	VERB
ajst-5048	63	21	cuttings	cutting	NOUN
ajst-5048	63	22	is	be	AUX
ajst-5048	63	23	shown	show	VERB
ajst-5048	63	24	in	in	ADP
ajst-5048	63	25	formula	formula	NOUN
ajst-5048	63	26	(	(	PUNCT
ajst-5048	63	27	5	5	NUM
ajst-5048	63	28	)	)	PUNCT
ajst-5048	63	29	.	.	PUNCT
ajst-5048	64	1	y	y	PROPN
ajst-5048	64	2	m	m	VERB
ajst-5048	64	3	x	x	X
ajst-5048	64	4	c	c	NOUN
ajst-5048	64	5			X
ajst-5048	64	6	(	(	PUNCT
ajst-5048	64	7	5	5	NUM
ajst-5048	64	8	)	)	PUNCT
ajst-5048	64	9	according	accord	VERB
ajst-5048	64	10	to	to	ADP
ajst-5048	64	11	the	the	DET
ajst-5048	64	12	definition	definition	NOUN
ajst-5048	64	13	of	of	ADP
ajst-5048	64	14	square	square	ADJ
ajst-5048	64	15	loss	loss	NOUN
ajst-5048	64	16	function	function	NOUN
ajst-5048	64	17	,	,	PUNCT
ajst-5048	64	18	the	the	DET
ajst-5048	64	19	calculation	calculation	NOUN
ajst-5048	64	20	method	method	NOUN
ajst-5048	64	21	of	of	ADP
ajst-5048	64	22	square	square	ADJ
ajst-5048	64	23	loss	loss	NOUN
ajst-5048	64	24	function	function	NOUN
ajst-5048	64	25	is	be	AUX
ajst-5048	64	26	shown	show	VERB
ajst-5048	64	27	in	in	ADP
ajst-5048	64	28	formula	formula	NOUN
ajst-5048	64	29	(	(	PUNCT
ajst-5048	64	30	6	6	NUM
ajst-5048	64	31	)	)	PUNCT
ajst-5048	64	32	.	.	PUNCT
ajst-5048	65	1	2	2	NUM
ajst-5048	65	2	1	1	NUM
ajst-5048	65	3	1	1	NUM
ajst-5048	65	4	(	(	PUNCT
ajst-5048	65	5	)	)	PUNCT
ajst-5048	65	6	n	n	CCONJ
ajst-5048	65	7	n	n	CCONJ
ajst-5048	65	8	n	n	ADP
ajst-5048	65	9	l	l	NOUN
ajst-5048	65	10	y	y	PROPN
ajst-5048	65	11	y	y	PROPN
ajst-5048	66	1	n	n	CCONJ
ajst-5048	66	2			NUM
ajst-5048	66	3			NUM
ajst-5048	67	1			NOUN
ajst-5048	67	2	(	(	PUNCT
ajst-5048	67	3	6	6	NUM
ajst-5048	67	4	)	)	PUNCT
ajst-5048	67	5	substitute	substitute	NOUN
ajst-5048	67	6	equation	equation	NOUN
ajst-5048	67	7	(	(	PUNCT
ajst-5048	67	8	5	5	NUM
ajst-5048	67	9	)	)	PUNCT
ajst-5048	67	10	into	into	ADP
ajst-5048	67	11	equation	equation	NOUN
ajst-5048	67	12	(	(	PUNCT
ajst-5048	67	13	6	6	NUM
ajst-5048	67	14	)	)	PUNCT
ajst-5048	67	15	,	,	PUNCT
ajst-5048	67	16	as	as	SCONJ
ajst-5048	67	17	shown	show	VERB
ajst-5048	67	18	in	in	ADP
ajst-5048	67	19	equation	equation	NOUN
ajst-5048	67	20	(	(	PUNCT
ajst-5048	67	21	7	7	NUM
ajst-5048	67	22	)	)	PUNCT
ajst-5048	67	23	.	.	PUNCT
ajst-5048	68	1	2	2	NUM
ajst-5048	68	2	2	2	NUM
ajst-5048	68	3	2	2	NUM
ajst-5048	68	4	2	2	NUM
ajst-5048	68	5	1	1	NUM
ajst-5048	68	6	1	1	NUM
ajst-5048	68	7	[	[	PUNCT
ajst-5048	68	8	2	2	NUM
ajst-5048	68	9	2	2	NUM
ajst-5048	68	10	(	(	PUNCT
ajst-5048	68	11	)	)	PUNCT
ajst-5048	68	12	c	c	NOUN
ajst-5048	68	13	]	]	PUNCT
ajst-5048	68	14	n	n	CCONJ
ajst-5048	68	15	n	n	CCONJ
ajst-5048	68	16	n	n	CCONJ
ajst-5048	68	17	n	n	CCONJ
ajst-5048	68	18	n	n	CCONJ
ajst-5048	68	19	n	n	CCONJ
ajst-5048	68	20	n	n	ADP
ajst-5048	68	21	l	l	NOUN
ajst-5048	68	22	y	y	NOUN
ajst-5048	69	1	y	y	PROPN
ajst-5048	69	2	c	c	PROPN
ajst-5048	69	3	mx	mx	PROPN
ajst-5048	70	1	c	c	VERB
ajst-5048	70	2	y	y	NOUN
ajst-5048	70	3	m	m	VERB
ajst-5048	70	4	x	x	VERB
ajst-5048	70	5	n	n	CCONJ
ajst-5048	70	6			NUM
ajst-5048	70	7			PROPN
ajst-5048	70	8			PROPN
ajst-5048	70	9			VERB
ajst-5048	70	10			PROPN
ajst-5048	70	11			CCONJ
ajst-5048	70	12			NOUN
ajst-5048	70	13	(	(	PUNCT
ajst-5048	70	14	7	7	X
ajst-5048	70	15	)	)	PUNCT
ajst-5048	70	16	the	the	DET
ajst-5048	70	17	partial	partial	ADJ
ajst-5048	70	18	derivatives	derivative	NOUN
ajst-5048	70	19	of	of	ADP
ajst-5048	70	20	variables	variable	NOUN
ajst-5048	70	21	c	c	PROPN
ajst-5048	70	22	and	and	CCONJ
ajst-5048	70	23	m	m	VERB
ajst-5048	70	24	in	in	ADP
ajst-5048	70	25	formula	formula	NOUN
ajst-5048	70	26	(	(	PUNCT
ajst-5048	70	27	7	7	X
ajst-5048	70	28	)	)	PUNCT
ajst-5048	70	29	are	be	AUX
ajst-5048	70	30	calculated	calculate	VERB
ajst-5048	70	31	respectively	respectively	ADV
ajst-5048	70	32	,	,	PUNCT
ajst-5048	70	33	and	and	CCONJ
ajst-5048	70	34	the	the	DET
ajst-5048	70	35	results	result	NOUN
ajst-5048	70	36	are	be	AUX
ajst-5048	70	37	shown	show	VERB
ajst-5048	70	38	in	in	ADP
ajst-5048	70	39	equations	equation	NOUN
ajst-5048	70	40	(	(	PUNCT
ajst-5048	70	41	8)	8)	NUM
ajst-5048	70	42	and	and	CCONJ
ajst-5048	70	43	(	(	PUNCT
ajst-5048	70	44	9	9	NUM
ajst-5048	70	45	)	)	PUNCT
ajst-5048	70	46	.	.	PUNCT
ajst-5048	71	1	1	1	NUM
ajst-5048	71	2	1	1	NUM
ajst-5048	71	3	1	1	NUM
ajst-5048	71	4	2	2	NUM
ajst-5048	71	5	2	2	NUM
ajst-5048	71	6	2	2	NUM
ajst-5048	71	7	n	n	CCONJ
ajst-5048	71	8	n	n	CCONJ
ajst-5048	71	9	n	n	CCONJ
ajst-5048	71	10	n	n	CCONJ
ajst-5048	71	11	n	n	CCONJ
ajst-5048	71	12	n	n	PRON
ajst-5048	71	13	l	l	NOUN
ajst-5048	71	14	c	c	NOUN
ajst-5048	71	15	m	m	VERB
ajst-5048	71	16	x	x	X
ajst-5048	71	17	y	y	NOUN
ajst-5048	71	18	c	c	PROPN
ajst-5048	71	19	n	n	CCONJ
ajst-5048	71	20	n	n	NOUN
ajst-5048	71	21			PROPN
ajst-5048	71	22			PROPN
ajst-5048	71	23			PROPN
ajst-5048	71	24			ADJ
ajst-5048	71	25			PROPN
ajst-5048	71	26			PROPN
ajst-5048	71	27			X
ajst-5048	71	28			X
ajst-5048	71	29	(	(	PUNCT
ajst-5048	71	30	8)	8)	NUM
ajst-5048	71	31	2	2	NUM
ajst-5048	71	32	1	1	NUM
ajst-5048	71	33	1	1	NUM
ajst-5048	71	34	1	1	NUM
ajst-5048	71	35	2	2	NUM
ajst-5048	71	36	2	2	NUM
ajst-5048	71	37	(	(	PUNCT
ajst-5048	71	38	c	c	NOUN
ajst-5048	71	39	)	)	PUNCT
ajst-5048	71	40	n	n	CCONJ
ajst-5048	71	41	n	n	CCONJ
ajst-5048	71	42	n	n	CCONJ
ajst-5048	71	43	n	n	CCONJ
ajst-5048	71	44	n	n	CCONJ
ajst-5048	71	45	n	n	CCONJ
ajst-5048	71	46	n	n	ADP
ajst-5048	71	47	l	l	NOUN
ajst-5048	71	48	m	m	VERB
ajst-5048	71	49	x	x	X
ajst-5048	71	50	y	y	NOUN
ajst-5048	71	51	x	x	VERB
ajst-5048	71	52	m	m	VERB
ajst-5048	71	53	n	n	PRON
ajst-5048	71	54	n	n	NOUN
ajst-5048	71	55			PROPN
ajst-5048	71	56			PROPN
ajst-5048	71	57			PROPN
ajst-5048	71	58			ADJ
ajst-5048	71	59			PROPN
ajst-5048	71	60			PROPN
ajst-5048	71	61			X
ajst-5048	71	62			X
ajst-5048	71	63	(	(	PUNCT
ajst-5048	71	64	9	9	X
ajst-5048	71	65	)	)	PUNCT
ajst-5048	71	66	if	if	SCONJ
ajst-5048	71	67	:	:	PUNCT
ajst-5048	71	68	0	0	NUM
ajst-5048	71	69	l	l	NOUN
ajst-5048	71	70	c	c	NOUN
ajst-5048	71	71			PROPN
ajst-5048	71	72			PROPN
ajst-5048	71	73			PROPN
ajst-5048	71	74	,	,	PUNCT
ajst-5048	71	75	0	0	NUM
ajst-5048	71	76	l	l	NOUN
ajst-5048	71	77	m	m	VERB
ajst-5048	71	78			ADJ
ajst-5048	71	79			PROPN
ajst-5048	71	80			PROPN
ajst-5048	71	81	,	,	PUNCT
ajst-5048	71	82	1	1	NUM
ajst-5048	71	83	1	1	NUM
ajst-5048	71	84	n	n	CCONJ
ajst-5048	71	85	n	n	CCONJ
ajst-5048	71	86	n	n	NOUN
ajst-5048	71	87	x	x	NOUN
ajst-5048	71	88	x	x	PUNCT
ajst-5048	71	89	n	n	CCONJ
ajst-5048	71	90			NUM
ajst-5048	71	91			ADJ
ajst-5048	71	92			NOUN
ajst-5048	71	93	,	,	PUNCT
ajst-5048	71	94	1	1	NUM
ajst-5048	71	95	1	1	NUM
ajst-5048	71	96	n	n	CCONJ
ajst-5048	71	97	n	n	CCONJ
ajst-5048	71	98	n	n	ADV
ajst-5048	71	99	y	y	PROPN
ajst-5048	71	100	y	y	PROPN
ajst-5048	72	1	n	n	CCONJ
ajst-5048	72	2			NUM
ajst-5048	73	1			ADJ
ajst-5048	73	2			NOUN
ajst-5048	73	3	,	,	PUNCT
ajst-5048	73	4	then	then	ADV
ajst-5048	73	5	:	:	PUNCT
ajst-5048	73	6	1	1	NUM
ajst-5048	73	7	2	2	NUM
ajst-5048	73	8	1	1	NUM
ajst-5048	73	9	1	1	NUM
ajst-5048	73	10	1	1	NUM
ajst-5048	73	11	n	n	CCONJ
ajst-5048	73	12	n	n	CCONJ
ajst-5048	73	13	n	n	CCONJ
ajst-5048	73	14	n	n	CCONJ
ajst-5048	73	15	n	n	CCONJ
ajst-5048	73	16	n	n	CCONJ
ajst-5048	73	17	n	n	NOUN
ajst-5048	73	18	x	x	SYM
ajst-5048	73	19	y	y	NOUN
ajst-5048	73	20	yx	yx	PROPN
ajst-5048	73	21	n	n	INTJ
ajst-5048	73	22	m	m	VERB
ajst-5048	73	23	x	x	NOUN
ajst-5048	73	24	xx	xx	NUM
ajst-5048	73	25	n	n	CCONJ
ajst-5048	73	26			NUM
ajst-5048	73	27			PROPN
ajst-5048	73	28			PROPN
ajst-5048	73	29			PROPN
ajst-5048	73	30			PROPN
ajst-5048	73	31			X
ajst-5048	73	32			X
ajst-5048	73	33	(	(	PUNCT
ajst-5048	73	34	10	10	NUM
ajst-5048	73	35	)	)	PUNCT
ajst-5048	74	1	c	c	PROPN
ajst-5048	74	2	y	y	PROPN
ajst-5048	74	3	m	m	VERB
ajst-5048	74	4	x	x	PROPN
ajst-5048	74	5			NOUN
ajst-5048	74	6	(	(	PUNCT
ajst-5048	74	7	11	11	NUM
ajst-5048	74	8	)	)	PUNCT
ajst-5048	75	1	if	if	SCONJ
ajst-5048	75	2	:	:	PUNCT
ajst-5048	75	3	1	1	NUM
ajst-5048	75	4	1	1	NUM
ajst-5048	75	5	n	n	CCONJ
ajst-5048	75	6	n	n	CCONJ
ajst-5048	75	7	n	n	CCONJ
ajst-5048	75	8	n	n	ADV
ajst-5048	75	9	xy	xy	NOUN
ajst-5048	75	10	x	x	SYM
ajst-5048	75	11	y	y	PROPN
ajst-5048	75	12	n	n	ADV
ajst-5048	75	13			NOUN
ajst-5048	75	14			ADJ
ajst-5048	75	15			NOUN
ajst-5048	75	16	,	,	PUNCT
ajst-5048	75	17	2	2	NUM
ajst-5048	75	18	2	2	NUM
ajst-5048	75	19	1	1	NUM
ajst-5048	75	20	1	1	NUM
ajst-5048	75	21	n	n	CCONJ
ajst-5048	75	22	n	n	CCONJ
ajst-5048	75	23	n	n	NOUN
ajst-5048	75	24	x	x	NOUN
ajst-5048	75	25	x	x	PUNCT
ajst-5048	75	26	n	n	CCONJ
ajst-5048	75	27			NUM
ajst-5048	75	28			ADJ
ajst-5048	75	29			NOUN
ajst-5048	75	30	,	,	PUNCT
ajst-5048	75	31	then	then	ADV
ajst-5048	75	32	:	:	PUNCT
ajst-5048	75	33	2	2	NUM
ajst-5048	75	34	2	2	NUM
ajst-5048	75	35	(	(	PUNCT
ajst-5048	75	36	)	)	PUNCT
ajst-5048	75	37	yx	yx	PROPN
ajst-5048	76	1	yx	yx	NUM
ajst-5048	76	2	m	m	NOUN
ajst-5048	76	3	x	x	PUNCT
ajst-5048	76	4	x	x	PUNCT
ajst-5048	76	5			PROPN
ajst-5048	76	6			NUM
ajst-5048	76	7			NOUN
ajst-5048	76	8	(	(	PUNCT
ajst-5048	76	9	12	12	NUM
ajst-5048	76	10	)	)	PUNCT
ajst-5048	76	11	put	put	VERB
ajst-5048	76	12	equations	equation	NOUN
ajst-5048	76	13	(	(	PUNCT
ajst-5048	76	14	11	11	NUM
ajst-5048	76	15	)	)	PUNCT
ajst-5048	76	16	and	and	CCONJ
ajst-5048	76	17	(	(	PUNCT
ajst-5048	76	18	12	12	NUM
ajst-5048	76	19	)	)	PUNCT
ajst-5048	76	20	into	into	ADP
ajst-5048	76	21	equations	equation	NOUN
ajst-5048	76	22	(	(	PUNCT
ajst-5048	76	23	5	5	NUM
ajst-5048	76	24	)	)	PUNCT
ajst-5048	76	25	,	,	PUNCT
ajst-5048	76	26	then	then	ADV
ajst-5048	76	27	:	:	PUNCT
ajst-5048	76	28	2	2	NUM
ajst-5048	76	29	2	2	NUM
ajst-5048	76	30	2	2	NUM
ajst-5048	76	31	2	2	NUM
ajst-5048	76	32	(	(	PUNCT
ajst-5048	76	33	)	)	PUNCT
ajst-5048	76	34	(	(	PUNCT
ajst-5048	76	35	)	)	PUNCT
ajst-5048	76	36	yx	yx	PROPN
ajst-5048	76	37	yx	yx	PROPN
ajst-5048	76	38	yx	yx	PROPN
ajst-5048	77	1	yx	yx	PROPN
ajst-5048	77	2	y	y	PROPN
ajst-5048	77	3	x	x	PROPN
ajst-5048	77	4	y	y	NOUN
ajst-5048	77	5	x	x	PUNCT
ajst-5048	77	6	x	x	PUNCT
ajst-5048	77	7	x	x	PUNCT
ajst-5048	77	8	x	x	PUNCT
ajst-5048	77	9	x	x	SYM
ajst-5048	77	10			PROPN
ajst-5048	77	11			PROPN
ajst-5048	77	12			NUM
ajst-5048	77	13			ADV
ajst-5048	77	14			VERB
ajst-5048	77	15			PROPN
ajst-5048	77	16			NOUN
ajst-5048	77	17	(	(	PUNCT
ajst-5048	77	18	13	13	NUM
ajst-5048	77	19	)	)	PUNCT
ajst-5048	77	20	3.3	3.3	NUM
ajst-5048	77	21	.	.	PUNCT
ajst-5048	78	1	bp	bp	PROPN
ajst-5048	78	2	neural	neural	PROPN
ajst-5048	78	3	network	network	PROPN
ajst-5048	78	4	prediction	prediction	NOUN
ajst-5048	78	5	model	model	NOUN
ajst-5048	78	6	bp	bp	PROPN
ajst-5048	78	7	neural	neural	PROPN
ajst-5048	78	8	network	network	NOUN
ajst-5048	78	9	is	be	AUX
ajst-5048	78	10	a	a	DET
ajst-5048	78	11	kind	kind	NOUN
ajst-5048	78	12	of	of	ADP
ajst-5048	78	13	back	back	ADJ
ajst-5048	78	14	propagation	propagation	NOUN
ajst-5048	78	15	neural	neural	ADJ
ajst-5048	78	16	network	network	NOUN
ajst-5048	78	17	with	with	ADP
ajst-5048	78	18	forward	forward	ADJ
ajst-5048	78	19	propagation	propagation	NOUN
ajst-5048	78	20	of	of	ADP
ajst-5048	78	21	information	information	NOUN
ajst-5048	78	22	and	and	CCONJ
ajst-5048	78	23	back	back	ADJ
ajst-5048	78	24	propagation	propagation	NOUN
ajst-5048	78	25	of	of	ADP
ajst-5048	78	26	error[11	error[11	NOUN
ajst-5048	78	27	]	]	PUNCT
ajst-5048	78	28	.	.	PUNCT
ajst-5048	79	1	it	it	PRON
ajst-5048	79	2	is	be	AUX
ajst-5048	79	3	usually	usually	ADV
ajst-5048	79	4	composed	compose	VERB
ajst-5048	79	5	of	of	ADP
ajst-5048	79	6	input	input	NOUN
ajst-5048	79	7	layer	layer	NOUN
ajst-5048	79	8	,	,	PUNCT
ajst-5048	79	9	hidden	hide	VERB
ajst-5048	79	10	layer	layer	NOUN
ajst-5048	79	11	and	and	CCONJ
ajst-5048	79	12	output	output	NOUN
ajst-5048	79	13	layer	layer	NOUN
ajst-5048	79	14	.	.	PUNCT
ajst-5048	80	1	bp	bp	PROPN
ajst-5048	80	2	neural	neural	ADJ
ajst-5048	80	3	network	network	NOUN
ajst-5048	80	4	calculation	calculation	NOUN
ajst-5048	80	5	consists	consist	VERB
ajst-5048	80	6	of	of	ADP
ajst-5048	80	7	two	two	NUM
ajst-5048	80	8	stages[12	stages[12	NOUN
ajst-5048	80	9	]	]	PUNCT
ajst-5048	80	10	.	.	PUNCT
ajst-5048	81	1	the	the	DET
ajst-5048	81	2	first	first	ADJ
ajst-5048	81	3	stage	stage	NOUN
ajst-5048	81	4	is	be	AUX
ajst-5048	81	5	information	information	NOUN
ajst-5048	81	6	forward	forward	ADJ
ajst-5048	81	7	propagation	propagation	NOUN
ajst-5048	81	8	.	.	PUNCT
ajst-5048	82	1	the	the	DET
ajst-5048	82	2	input	input	NOUN
ajst-5048	82	3	information	information	NOUN
ajst-5048	82	4	is	be	AUX
ajst-5048	82	5	processed	process	VERB
ajst-5048	82	6	from	from	ADP
ajst-5048	82	7	the	the	DET
ajst-5048	82	8	input	input	NOUN
ajst-5048	82	9	layer	layer	NOUN
ajst-5048	82	10	to	to	ADP
ajst-5048	82	11	the	the	DET
ajst-5048	82	12	output	output	NOUN
ajst-5048	82	13	layer	layer	NOUN
ajst-5048	82	14	through	through	ADP
ajst-5048	82	15	the	the	DET
ajst-5048	82	16	hidden	hide	VERB
ajst-5048	82	17	layer	layer	NOUN
ajst-5048	82	18	to	to	PART
ajst-5048	82	19	get	get	VERB
ajst-5048	82	20	the	the	DET
ajst-5048	82	21	predicted	predict	VERB
ajst-5048	82	22	output	output	NOUN
ajst-5048	82	23	.	.	PUNCT
ajst-5048	83	1	then	then	ADV
ajst-5048	83	2	,	,	PUNCT
ajst-5048	83	3	the	the	DET
ajst-5048	83	4	error	error	NOUN
ajst-5048	83	5	between	between	ADP
ajst-5048	83	6	the	the	DET
ajst-5048	83	7	predicted	predict	VERB
ajst-5048	83	8	output	output	NOUN
ajst-5048	83	9	and	and	CCONJ
ajst-5048	83	10	the	the	DET
ajst-5048	83	11	expected	expect	VERB
ajst-5048	83	12	output	output	NOUN
ajst-5048	83	13	is	be	AUX
ajst-5048	83	14	weighed	weigh	VERB
ajst-5048	83	15	.	.	PUNCT
ajst-5048	84	1	if	if	SCONJ
ajst-5048	84	2	the	the	DET
ajst-5048	84	3	error	error	NOUN
ajst-5048	84	4	between	between	ADP
ajst-5048	84	5	the	the	DET
ajst-5048	84	6	predicted	predict	VERB
ajst-5048	84	7	output	output	NOUN
ajst-5048	84	8	and	and	CCONJ
ajst-5048	84	9	the	the	DET
ajst-5048	84	10	expected	expect	VERB
ajst-5048	84	11	output	output	NOUN
ajst-5048	84	12	does	do	AUX
ajst-5048	84	13	not	not	PART
ajst-5048	84	14	reach	reach	VERB
ajst-5048	84	15	the	the	DET
ajst-5048	84	16	expected	expect	VERB
ajst-5048	84	17	accuracy	accuracy	NOUN
ajst-5048	84	18	,	,	PUNCT
ajst-5048	84	19	it	it	PRON
ajst-5048	84	20	enters	enter	VERB
ajst-5048	84	21	the	the	DET
ajst-5048	84	22	second	second	ADJ
ajst-5048	84	23	stage	stage	NOUN
ajst-5048	84	24	of	of	ADP
ajst-5048	84	25	error	error	NOUN
ajst-5048	84	26	back	back	NOUN
ajst-5048	84	27	propagation	propagation	NOUN
ajst-5048	84	28	.	.	PUNCT
ajst-5048	85	1	the	the	DET
ajst-5048	85	2	error	error	NOUN
ajst-5048	85	3	confidence	confidence	NOUN
ajst-5048	85	4	is	be	AUX
ajst-5048	85	5	back	back	ADV
ajst-5048	85	6	propagated	propagate	VERB
ajst-5048	85	7	from	from	ADP
ajst-5048	85	8	the	the	DET
ajst-5048	85	9	output	output	NOUN
ajst-5048	85	10	layer	layer	NOUN
ajst-5048	85	11	to	to	ADP
ajst-5048	85	12	the	the	DET
ajst-5048	85	13	input	input	NOUN
ajst-5048	85	14	layer	layer	NOUN
ajst-5048	85	15	to	to	PART
ajst-5048	85	16	adjust	adjust	VERB
ajst-5048	85	17	the	the	DET
ajst-5048	85	18	weights	weight	NOUN
ajst-5048	85	19	and	and	CCONJ
ajst-5048	85	20	thresholds	threshold	NOUN
ajst-5048	85	21	from	from	ADP
ajst-5048	85	22	the	the	DET
ajst-5048	85	23	input	input	NOUN
ajst-5048	85	24	layer	layer	NOUN
ajst-5048	85	25	to	to	ADP
ajst-5048	85	26	the	the	DET
ajst-5048	85	27	hidden	hide	VERB
ajst-5048	85	28	layer	layer	NOUN
ajst-5048	85	29	and	and	CCONJ
ajst-5048	85	30	from	from	ADP
ajst-5048	85	31	the	the	DET
ajst-5048	85	32	hidden	hide	VERB
ajst-5048	85	33	layer	layer	NOUN
ajst-5048	85	34	to	to	ADP
ajst-5048	85	35	the	the	DET
ajst-5048	85	36	output	output	NOUN
ajst-5048	85	37	layer	layer	NOUN
ajst-5048	85	38	.	.	PUNCT
ajst-5048	86	1	repeat	repeat	VERB
ajst-5048	86	2	the	the	DET
ajst-5048	86	3	above	above	ADJ
ajst-5048	86	4	stage	stage	NOUN
ajst-5048	86	5	until	until	SCONJ
ajst-5048	86	6	the	the	DET
ajst-5048	86	7	error	error	NOUN
ajst-5048	86	8	reaches	reach	VERB
ajst-5048	86	9	the	the	DET
ajst-5048	86	10	expected	expect	VERB
ajst-5048	86	11	accuracy	accuracy	NOUN
ajst-5048	86	12	.	.	PUNCT
ajst-5048	87	1	figure	figure	NOUN
ajst-5048	87	2	3	3	NUM
ajst-5048	87	3	.	.	NOUN
ajst-5048	87	4	typical	typical	ADJ
ajst-5048	87	5	3	3	NUM
ajst-5048	87	6	-	-	PUNCT
ajst-5048	87	7	layer	layer	NOUN
ajst-5048	87	8	bp	bp	PROPN
ajst-5048	87	9	neural	neural	PROPN
ajst-5048	87	10	network	network	PROPN
ajst-5048	87	11	model	model	PROPN
ajst-5048	87	12	forward	forward	ADV
ajst-5048	87	13	information	information	NOUN
ajst-5048	87	14	transmission	transmission	NOUN
ajst-5048	87	15	stage	stage	NOUN
ajst-5048	87	16	:	:	PUNCT
ajst-5048	87	17	suppose	suppose	VERB
ajst-5048	87	18	the	the	DET
ajst-5048	87	19	weight	weight	NOUN
ajst-5048	87	20	between	between	ADP
ajst-5048	87	21	node	node	PROPN
ajst-5048	87	22	𝑖	𝑖	SYM
ajst-5048	87	23	and	and	CCONJ
ajst-5048	87	24	node	node	VERB
ajst-5048	87	25	𝑗	𝑗	INTJ
ajst-5048	87	26	is	be	AUX
ajst-5048	87	27	𝜔	𝜔	PRON
ajst-5048	87	28	,	,	PUNCT
ajst-5048	87	29	the	the	DET
ajst-5048	87	30	threshold	threshold	NOUN
ajst-5048	87	31	of	of	ADP
ajst-5048	87	32	node	node	PROPN
ajst-5048	87	33	𝑗	𝑗	PROPN
ajst-5048	87	34	is	be	AUX
ajst-5048	87	35	𝑏	𝑏	NOUN
ajst-5048	87	36	,	,	PUNCT
ajst-5048	87	37	and	and	CCONJ
ajst-5048	87	38	the	the	DET
ajst-5048	87	39	output	output	NOUN
ajst-5048	87	40	value	value	NOUN
ajst-5048	87	41	of	of	ADP
ajst-5048	87	42	each	each	DET
ajst-5048	87	43	node	node	NOUN
ajst-5048	87	44	is	be	AUX
ajst-5048	87	45	𝑦	𝑦	NOUN
ajst-5048	87	46	,	,	PUNCT
ajst-5048	87	47	and	and	CCONJ
ajst-5048	87	48	the	the	DET
ajst-5048	87	49	output	output	NOUN
ajst-5048	87	50	value	value	NOUN
ajst-5048	87	51	of	of	ADP
ajst-5048	87	52	each	each	DET
ajst-5048	87	53	node	node	NOUN
ajst-5048	87	54	is	be	AUX
ajst-5048	87	55	realized	realize	VERB
ajst-5048	87	56	according	accord	VERB
ajst-5048	87	57	to	to	ADP
ajst-5048	87	58	the	the	DET
ajst-5048	87	59	output	output	NOUN
ajst-5048	87	60	value	value	NOUN
ajst-5048	87	61	of	of	ADP
ajst-5048	87	62	all	all	DET
ajst-5048	87	63	nodes	node	NOUN
ajst-5048	87	64	in	in	ADP
ajst-5048	87	65	the	the	DET
ajst-5048	87	66	upper	upper	ADJ
ajst-5048	87	67	layer	layer	NOUN
ajst-5048	87	68	,	,	PUNCT
ajst-5048	87	69	the	the	DET
ajst-5048	87	70	weight	weight	NOUN
ajst-5048	87	71	of	of	ADP
ajst-5048	87	72	the	the	DET
ajst-5048	87	73	current	current	ADJ
ajst-5048	87	74	node	node	NOUN
ajst-5048	87	75	and	and	CCONJ
ajst-5048	87	76	all	all	DET
ajst-5048	87	77	nodes	node	NOUN
ajst-5048	87	78	in	in	ADP
ajst-5048	87	79	the	the	DET
ajst-5048	87	80	upper	upper	ADJ
ajst-5048	87	81	layer	layer	NOUN
ajst-5048	87	82	,	,	PUNCT
ajst-5048	87	83	the	the	DET
ajst-5048	87	84	threshold	threshold	NOUN
ajst-5048	87	85	value	value	NOUN
ajst-5048	87	86	of	of	ADP
ajst-5048	87	87	the	the	DET
ajst-5048	87	88	current	current	ADJ
ajst-5048	87	89	node	node	NOUN
ajst-5048	87	90	and	and	CCONJ
ajst-5048	87	91	the	the	DET
ajst-5048	87	92	activation	activation	NOUN
ajst-5048	87	93	function	function	NOUN
ajst-5048	87	94	.	.	PUNCT
ajst-5048	88	1	the	the	DET
ajst-5048	88	2	specific	specific	ADJ
ajst-5048	88	3	calculation	calculation	NOUN
ajst-5048	88	4	method	method	NOUN
ajst-5048	88	5	is	be	AUX
ajst-5048	88	6	as	as	SCONJ
ajst-5048	88	7	follows	follow	VERB
ajst-5048	88	8	:	:	PUNCT
ajst-5048	88	9	152	152	NUM
ajst-5048	88	10	1	1	NUM
ajst-5048	88	11	0	0	NUM
ajst-5048	88	12	m	m	NOUN
ajst-5048	88	13	j	j	NOUN
ajst-5048	89	1	ij	ij	INTJ
ajst-5048	90	1	i	i	INTJ
ajst-5048	90	2	j	j	PROPN
ajst-5048	91	1	i	i	PRON
ajst-5048	91	2	s	s	AUX
ajst-5048	91	3	y	y	PROPN
ajst-5048	91	4	b	b	PROPN
ajst-5048	91	5			PROPN
ajst-5048	91	6			PROPN
ajst-5048	91	7			PROPN
ajst-5048	91	8			NOUN
ajst-5048	91	9	(	(	PUNCT
ajst-5048	91	10	14	14	NUM
ajst-5048	91	11	)	)	PUNCT
ajst-5048	91	12			NOUN
ajst-5048	91	13	j	j	PROPN
ajst-5048	92	1	jy	jy	PROPN
ajst-5048	92	2	f	f	PROPN
ajst-5048	92	3	s	s	PROPN
ajst-5048	92	4	(	(	PUNCT
ajst-5048	92	5	15	15	NUM
ajst-5048	92	6	)	)	PUNCT
ajst-5048	92	7	where	where	SCONJ
ajst-5048	92	8	𝑓	𝑓	DET
ajst-5048	92	9	𝑥	𝑥	NOUN
ajst-5048	92	10	is	be	AUX
ajst-5048	92	11	the	the	DET
ajst-5048	92	12	activation	activation	NOUN
ajst-5048	92	13	function	function	NOUN
ajst-5048	92	14	,	,	PUNCT
ajst-5048	92	15	and	and	CCONJ
ajst-5048	92	16	s	s	NOUN
ajst-5048	92	17	-	-	PUNCT
ajst-5048	92	18	type	type	NOUN
ajst-5048	92	19	function	function	NOUN
ajst-5048	92	20			NOUN
ajst-5048	92	21			PUNCT
ajst-5048	92	22	1	1	NUM
ajst-5048	92	23	1	1	NUM
ajst-5048	92	24	x	x	SYM
ajst-5048	92	25	f	f	NOUN
ajst-5048	92	26	x	x	PUNCT
ajst-5048	92	27	e	e	NOUN
ajst-5048	92	28			NOUN
ajst-5048	92	29			PUNCT
ajst-5048	92	30	or	or	CCONJ
ajst-5048	92	31	linear	linear	ADJ
ajst-5048	92	32	function	function	NOUN
ajst-5048	92	33	is	be	AUX
ajst-5048	92	34	generally	generally	ADV
ajst-5048	92	35	selected	select	VERB
ajst-5048	92	36	.	.	PUNCT
ajst-5048	93	1	in	in	ADP
ajst-5048	93	2	bp	bp	PROPN
ajst-5048	93	3	neural	neural	ADJ
ajst-5048	93	4	network	network	NOUN
ajst-5048	93	5	,	,	PUNCT
ajst-5048	93	6	input	input	NOUN
ajst-5048	93	7	layer	layer	NOUN
ajst-5048	93	8	node	node	NOUN
ajst-5048	93	9	has	have	VERB
ajst-5048	93	10	no	no	DET
ajst-5048	93	11	threshold	threshold	NOUN
ajst-5048	93	12	.	.	PUNCT
ajst-5048	94	1	error	error	NOUN
ajst-5048	94	2	back	back	NOUN
ajst-5048	94	3	propagation	propagation	NOUN
ajst-5048	94	4	stage	stage	NOUN
ajst-5048	94	5	:	:	PUNCT
ajst-5048	94	6	let	let	VERB
ajst-5048	94	7	the	the	DET
ajst-5048	94	8	predicted	predict	VERB
ajst-5048	94	9	output	output	NOUN
ajst-5048	94	10	of	of	ADP
ajst-5048	94	11	the	the	DET
ajst-5048	94	12	output	output	NOUN
ajst-5048	94	13	layer	layer	NOUN
ajst-5048	94	14	be	be	AUX
ajst-5048	94	15	𝑑	𝑑	PRON
ajst-5048	94	16	and	and	CCONJ
ajst-5048	94	17	the	the	DET
ajst-5048	94	18	expected	expect	VERB
ajst-5048	94	19	output	output	NOUN
ajst-5048	94	20	be	be	AUX
ajst-5048	94	21	𝑦	𝑦	NOUN
ajst-5048	94	22	,	,	PUNCT
ajst-5048	94	23	and	and	CCONJ
ajst-5048	94	24	the	the	DET
ajst-5048	94	25	loss	loss	NOUN
ajst-5048	94	26	function	function	NOUN
ajst-5048	94	27	take	take	VERB
ajst-5048	94	28	the	the	DET
ajst-5048	94	29	meansquare	meansquare	NOUN
ajst-5048	94	30	error	error	NOUN
ajst-5048	94	31	function	function	NOUN
ajst-5048	94	32	as	as	SCONJ
ajst-5048	94	33	follows	follow	VERB
ajst-5048	94	34	:	:	PUNCT
ajst-5048	94	35			NOUN
ajst-5048	94	36			SYM
ajst-5048	94	37			NOUN
ajst-5048	94	38			NUM
ajst-5048	94	39	21	21	NUM
ajst-5048	94	40	0	0	NUM
ajst-5048	94	41	1	1	NUM
ajst-5048	94	42	,	,	PUNCT
ajst-5048	94	43	2	2	NUM
ajst-5048	94	44	n	n	NOUN
ajst-5048	94	45	j	j	PROPN
ajst-5048	95	1	j	j	PROPN
ajst-5048	95	2	j	j	PROPN
ajst-5048	95	3	e	e	PROPN
ajst-5048	95	4	b	b	PROPN
ajst-5048	95	5	d	d	NOUN
ajst-5048	95	6	y	y	X
ajst-5048	95	7			PROPN
ajst-5048	95	8			NUM
ajst-5048	95	9			NUM
ajst-5048	96	1			X
ajst-5048	96	2	(	(	PUNCT
ajst-5048	96	3	16	16	NUM
ajst-5048	96	4	)	)	PUNCT
ajst-5048	96	5	repeated	repeat	VERB
ajst-5048	96	6	correction	correction	NOUN
ajst-5048	96	7	of	of	ADP
ajst-5048	96	8	weights	weight	NOUN
ajst-5048	96	9	and	and	CCONJ
ajst-5048	96	10	thresholds	threshold	NOUN
ajst-5048	96	11	:	:	PUNCT
ajst-5048	96	12	according	accord	VERB
ajst-5048	96	13	to	to	ADP
ajst-5048	96	14	the	the	DET
ajst-5048	96	15	gradient	gradient	ADJ
ajst-5048	96	16	descent	descent	NOUN
ajst-5048	96	17	method	method	NOUN
ajst-5048	96	18	,	,	PUNCT
ajst-5048	96	19	the	the	DET
ajst-5048	96	20	correction	correction	NOUN
ajst-5048	96	21	of	of	ADP
ajst-5048	96	22	the	the	DET
ajst-5048	96	23	weight	weight	NOUN
ajst-5048	96	24	vector	vector	NOUN
ajst-5048	96	25	is	be	AUX
ajst-5048	96	26	proportional	proportional	ADJ
ajst-5048	96	27	to	to	ADP
ajst-5048	96	28	the	the	DET
ajst-5048	96	29	gradient	gradient	NOUN
ajst-5048	96	30	of	of	ADP
ajst-5048	96	31			NOUN
ajst-5048	96	32	,e	,e	NOUN
ajst-5048	96	33	b	b	NOUN
ajst-5048	96	34	at	at	ADP
ajst-5048	96	35	the	the	DET
ajst-5048	96	36	current	current	ADJ
ajst-5048	96	37	position	position	NOUN
ajst-5048	96	38	.	.	PUNCT
ajst-5048	97	1	for	for	ADP
ajst-5048	97	2	the	the	DET
ajst-5048	97	3	𝑗	𝑗	PROPN
ajst-5048	97	4	output	output	NOUN
ajst-5048	97	5	node	node	NOUN
ajst-5048	97	6	,	,	PUNCT
ajst-5048	97	7	there	there	PRON
ajst-5048	97	8	is	be	VERB
ajst-5048	97	9	:	:	PUNCT
ajst-5048	97	10			PROPN
ajst-5048	97	11			PROPN
ajst-5048	97	12	,	,	PUNCT
ajst-5048	97	13	ij	ij	INTJ
ajst-5048	97	14	ij	ij	X
ajst-5048	97	15	e	e	X
ajst-5048	97	16	b	b	X
ajst-5048	97	17			PROPN
ajst-5048	97	18			NUM
ajst-5048	97	19			PROPN
ajst-5048	97	20			PROPN
ajst-5048	97	21			X
ajst-5048	98	1			NUM
ajst-5048	98	2			PROPN
ajst-5048	98	3			PROPN
ajst-5048	98	4	(	(	PUNCT
ajst-5048	98	5	17	17	NUM
ajst-5048	98	6	)	)	PUNCT
ajst-5048	98	7	suppose	suppose	VERB
ajst-5048	98	8	the	the	DET
ajst-5048	98	9	activation	activation	NOUN
ajst-5048	98	10	function	function	VERB
ajst-5048	98	11	𝑓	𝑓	PRON
ajst-5048	98	12	selects	select	NOUN
ajst-5048	98	13			NOUN
ajst-5048	99	1			PUNCT
ajst-5048	99	2	1	1	NUM
ajst-5048	99	3	1	1	NUM
ajst-5048	99	4	x	x	SYM
ajst-5048	99	5	f	f	NOUN
ajst-5048	99	6	x	x	PUNCT
ajst-5048	99	7	e	e	NOUN
ajst-5048	99	8			NOUN
ajst-5048	99	9			PUNCT
ajst-5048	99	10	,	,	PUNCT
ajst-5048	99	11	then	then	ADV
ajst-5048	99	12	:	:	PUNCT
ajst-5048	99	13			NOUN
ajst-5048	99	14			SYM
ajst-5048	99	15			NOUN
ajst-5048	99	16			SYM
ajst-5048	99	17			NOUN
ajst-5048	99	18			SYM
ajst-5048	99	19			NOUN
ajst-5048	99	20			SYM
ajst-5048	99	21			NOUN
ajst-5048	99	22			SYM
ajst-5048	99	23			NOUN
ajst-5048	99	24			SYM
ajst-5048	99	25			NOUN
ajst-5048	99	26			SYM
ajst-5048	99	27			NOUN
ajst-5048	99	28			SYM
ajst-5048	99	29			NOUN
ajst-5048	99	30			SYM
ajst-5048	99	31			NOUN
ajst-5048	99	32			SYM
ajst-5048	99	33			NOUN
ajst-5048	99	34			PROPN
ajst-5048	99	35	21	21	NUM
ajst-5048	99	36	0	0	NUM
ajst-5048	99	37	,	,	PUNCT
ajst-5048	99	38	1	1	NUM
ajst-5048	99	39	2	2	NUM
ajst-5048	99	40	1	1	NUM
ajst-5048	99	41	1	1	NUM
ajst-5048	99	42	n	n	NUM
ajst-5048	99	43	j	j	PROPN
ajst-5048	99	44	j	j	PROPN
ajst-5048	100	1	j	j	PROPN
ajst-5048	100	2	j	j	PROPN
ajst-5048	101	1	j	j	PROPN
ajst-5048	101	2	j	j	PROPN
ajst-5048	102	1	j	j	PROPN
ajst-5048	102	2	j	j	PROPN
ajst-5048	103	1	j	j	PROPN
ajst-5048	103	2	jij	jij	PROPN
ajst-5048	104	1	ij	ij	INTJ
ajst-5048	105	1	ij	ij	INTJ
ajst-5048	106	1	ij	ij	INTJ
ajst-5048	106	2	j	j	PROPN
ajst-5048	106	3	j	j	PROPN
ajst-5048	107	1	j	j	PROPN
ajst-5048	107	2	j	j	PROPN
ajst-5048	107	3	j	j	PROPN
ajst-5048	107	4	ij	ij	INTJ
ajst-5048	107	5	j	j	PROPN
ajst-5048	107	6	j	j	PROPN
ajst-5048	108	1	j	j	PROPN
ajst-5048	108	2	j	j	PROPN
ajst-5048	109	1	i	i	PRON
ajst-5048	109	2	ij	ij	VERB
ajst-5048	109	3	i	i	X
ajst-5048	110	1	d	d	X
ajst-5048	110	2	se	se	PROPN
ajst-5048	110	3	b	b	PROPN
ajst-5048	111	1	d	d	X
ajst-5048	111	2	y	y	PROPN
ajst-5048	111	3	d	d	X
ajst-5048	111	4	y	y	PROPN
ajst-5048	111	5	d	d	X
ajst-5048	111	6	y	y	PROPN
ajst-5048	111	7	f	f	PROPN
ajst-5048	111	8	s	s	PROPN
ajst-5048	111	9	s	s	PROPN
ajst-5048	111	10	d	d	X
ajst-5048	111	11	y	y	PROPN
ajst-5048	111	12	f	f	PROPN
ajst-5048	111	13	s	s	PROPN
ajst-5048	111	14	f	f	PROPN
ajst-5048	111	15	s	s	PROPN
ajst-5048	111	16	d	d	X
ajst-5048	111	17	y	y	PROPN
ajst-5048	111	18	f	f	PROPN
ajst-5048	111	19	s	s	PROPN
ajst-5048	111	20	f	f	X
ajst-5048	111	21	s	s	PROPN
ajst-5048	111	22	x	x	X
ajst-5048	111	23	x	x	X
ajst-5048	111	24			X
ajst-5048	111	25			X
ajst-5048	111	26			X
ajst-5048	111	27			X
ajst-5048	111	28			X
ajst-5048	111	29			PROPN
ajst-5048	111	30			NUM
ajst-5048	111	31			PROPN
ajst-5048	111	32			PROPN
ajst-5048	111	33			ADJ
ajst-5048	111	34			PROPN
ajst-5048	111	35			PROPN
ajst-5048	111	36			PROPN
ajst-5048	112	1			ADJ
ajst-5048	112	2			NOUN
ajst-5048	112	3			NUM
ajst-5048	112	4			NOUN
ajst-5048	112	5			NUM
ajst-5048	112	6			NUM
ajst-5048	112	7			NOUN
ajst-5048	112	8			VERB
ajst-5048	112	9			NUM
ajst-5048	112	10			ADJ
ajst-5048	112	11			ADJ
ajst-5048	112	12			ADJ
ajst-5048	112	13			ADJ
ajst-5048	112	14			PROPN
ajst-5048	112	15			PROPN
ajst-5048	112	16			PROPN
ajst-5048	112	17			PROPN
ajst-5048	112	18			VERB
ajst-5048	112	19			NOUN
ajst-5048	112	20			NUM
ajst-5048	112	21			PROPN
ajst-5048	112	22			ADJ
ajst-5048	113	1			PROPN
ajst-5048	113	2			PROPN
ajst-5048	113	3			PROPN
ajst-5048	113	4			VERB
ajst-5048	113	5			NOUN
ajst-5048	113	6			NUM
ajst-5048	113	7			NUM
ajst-5048	113	8			PRON
ajst-5048	113	9			PROPN
ajst-5048	113	10			X
ajst-5048	113	11	(	(	PUNCT
ajst-5048	113	12	18	18	NUM
ajst-5048	113	13	)	)	PUNCT
ajst-5048	113	14	where	where	SCONJ
ajst-5048	113	15			NOUN
ajst-5048	113	16			SYM
ajst-5048	113	17			NOUN
ajst-5048	113	18			PUNCT
ajst-5048	113	19			PROPN
ajst-5048	113	20	1ij	1ij	PUNCT
ajst-5048	113	21	j	j	PROPN
ajst-5048	113	22	j	j	PROPN
ajst-5048	113	23	j	j	PROPN
ajst-5048	113	24	jd	jd	PROPN
ajst-5048	113	25	y	y	PROPN
ajst-5048	113	26	f	f	PROPN
ajst-5048	113	27	s	s	X
ajst-5048	113	28	f	f	PROPN
ajst-5048	113	29	s	s	PROPN
ajst-5048	113	30			PROPN
ajst-5048	113	31			PROPN
ajst-5048	113	32			PROPN
ajst-5048	113	33			ADJ
ajst-5048	113	34			NOUN
ajst-5048	113	35			PROPN
ajst-5048	113	36	.	.	PUNCT
ajst-5048	114	1	the	the	DET
ajst-5048	114	2	same	same	ADJ
ajst-5048	114	3	is	be	AUX
ajst-5048	114	4	true	true	ADJ
ajst-5048	114	5	for	for	ADP
ajst-5048	114	6	𝑏	𝑏	PROPN
ajst-5048	114	7	:	:	PUNCT
ajst-5048	114	8			PROPN
ajst-5048	114	9			PROPN
ajst-5048	114	10	,	,	PUNCT
ajst-5048	114	11	ij	ij	ADP
ajst-5048	114	12	j	j	PROPN
ajst-5048	114	13	e	e	PROPN
ajst-5048	114	14	b	b	PROPN
ajst-5048	114	15	b	b	PROPN
ajst-5048	114	16			PROPN
ajst-5048	114	17			NUM
ajst-5048	114	18			ADJ
ajst-5048	114	19			PROPN
ajst-5048	114	20			ADJ
ajst-5048	114	21	(	(	PUNCT
ajst-5048	114	22	19	19	NUM
ajst-5048	114	23	)	)	PUNCT
ajst-5048	114	24	according	accord	VERB
ajst-5048	114	25	to	to	ADP
ajst-5048	114	26	the	the	DET
ajst-5048	114	27	combination	combination	NOUN
ajst-5048	114	28	of	of	ADP
ajst-5048	114	29	gradient	gradient	ADJ
ajst-5048	114	30	descent	descent	NOUN
ajst-5048	114	31	method	method	NOUN
ajst-5048	114	32	(	(	PUNCT
ajst-5048	114	33	18	18	NUM
ajst-5048	114	34	)	)	PUNCT
ajst-5048	114	35	and	and	CCONJ
ajst-5048	114	36	(	(	PUNCT
ajst-5048	114	37	19	19	NUM
ajst-5048	114	38	)	)	PUNCT
ajst-5048	114	39	,	,	PUNCT
ajst-5048	114	40	the	the	DET
ajst-5048	114	41	weights	weight	NOUN
ajst-5048	114	42	and	and	CCONJ
ajst-5048	114	43	thresholds	threshold	NOUN
ajst-5048	114	44	are	be	AUX
ajst-5048	114	45	adjusted	adjust	VERB
ajst-5048	114	46	as	as	SCONJ
ajst-5048	114	47	follows	follow	VERB
ajst-5048	114	48	:	:	PUNCT
ajst-5048	114	49			NOUN
ajst-5048	114	50			PROPN
ajst-5048	114	51	1	1	NUM
ajst-5048	114	52	1	1	NUM
ajst-5048	114	53	,	,	PUNCT
ajst-5048	114	54	ij	ij	INTJ
ajst-5048	114	55	ij	ij	INTJ
ajst-5048	115	1	ij	ij	INTJ
ajst-5048	115	2	ij	ij	INTJ
ajst-5048	116	1	i	i	PRON
ajst-5048	116	2	ij	ij	X
ajst-5048	116	3	e	e	X
ajst-5048	116	4	b	b	PROPN
ajst-5048	116	5	x	x	X
ajst-5048	116	6			X
ajst-5048	116	7			X
ajst-5048	116	8			X
ajst-5048	116	9			NUM
ajst-5048	116	10			X
ajst-5048	116	11			NUM
ajst-5048	116	12			NUM
ajst-5048	116	13			PROPN
ajst-5048	116	14			ADJ
ajst-5048	116	15			PROPN
ajst-5048	116	16			PROPN
ajst-5048	116	17			NUM
ajst-5048	116	18			NUM
ajst-5048	116	19			NOUN
ajst-5048	116	20			VERB
ajst-5048	116	21			VERB
ajst-5048	116	22			ADJ
ajst-5048	116	23	(	(	PUNCT
ajst-5048	116	24	20	20	NUM
ajst-5048	116	25	)	)	PUNCT
ajst-5048	116	26			NOUN
ajst-5048	116	27			PROPN
ajst-5048	116	28	2	2	NUM
ajst-5048	116	29	2	2	NUM
ajst-5048	116	30	,	,	PUNCT
ajst-5048	116	31	j	j	PROPN
ajst-5048	116	32	j	j	PROPN
ajst-5048	116	33	j	j	PROPN
ajst-5048	117	1	ij	ij	INTJ
ajst-5048	117	2	j	j	PROPN
ajst-5048	117	3	e	e	PROPN
ajst-5048	117	4	b	b	PROPN
ajst-5048	117	5	b	b	PROPN
ajst-5048	117	6	b	b	PROPN
ajst-5048	117	7	b	b	PROPN
ajst-5048	117	8	b	b	X
ajst-5048	117	9			X
ajst-5048	117	10			PUNCT
ajst-5048	117	11			NUM
ajst-5048	117	12			NUM
ajst-5048	117	13			ADJ
ajst-5048	117	14			PROPN
ajst-5048	117	15			PROPN
ajst-5048	117	16			NUM
ajst-5048	117	17			NUM
ajst-5048	117	18			NOUN
ajst-5048	117	19			VERB
ajst-5048	117	20			NOUN
ajst-5048	117	21	(	(	PUNCT
ajst-5048	117	22	21	21	NUM
ajst-5048	117	23	)	)	PUNCT
ajst-5048	117	24	4	4	NUM
ajst-5048	117	25	.	.	X
ajst-5048	117	26	simulation	simulation	NOUN
ajst-5048	117	27	of	of	ADP
ajst-5048	117	28	cuttings	cutting	NOUN
ajst-5048	117	29	flow	flow	NOUN
ajst-5048	117	30	prediction	prediction	NOUN
ajst-5048	117	31	model	model	NOUN
ajst-5048	117	32	a	a	DET
ajst-5048	117	33	total	total	NOUN
ajst-5048	117	34	of	of	ADP
ajst-5048	117	35	106	106	NUM
ajst-5048	117	36	groups	group	NOUN
ajst-5048	117	37	of	of	ADP
ajst-5048	117	38	returned	return	VERB
ajst-5048	117	39	cuttings	cutting	NOUN
ajst-5048	117	40	quality	quality	NOUN
ajst-5048	117	41	data	datum	NOUN
ajst-5048	117	42	were	be	AUX
ajst-5048	117	43	collected	collect	VERB
ajst-5048	117	44	by	by	ADP
ajst-5048	117	45	the	the	DET
ajst-5048	117	46	cuttings	cutting	NOUN
ajst-5048	117	47	metering	meter	VERB
ajst-5048	117	48	device	device	NOUN
ajst-5048	117	49	during	during	ADP
ajst-5048	117	50	the	the	DET
ajst-5048	117	51	metering	metering	NOUN
ajst-5048	117	52	period	period	NOUN
ajst-5048	117	53	.	.	PUNCT
ajst-5048	118	1	three	three	NUM
ajst-5048	118	2	cuttings	cutting	NOUN
ajst-5048	118	3	flow	flow	NOUN
ajst-5048	118	4	metering	metering	NOUN
ajst-5048	118	5	prediction	prediction	NOUN
ajst-5048	118	6	models	model	NOUN
ajst-5048	118	7	were	be	AUX
ajst-5048	118	8	used	use	VERB
ajst-5048	118	9	for	for	ADP
ajst-5048	118	10	analysis	analysis	NOUN
ajst-5048	118	11	and	and	CCONJ
ajst-5048	118	12	simulation	simulation	NOUN
ajst-5048	118	13	,	,	PUNCT
ajst-5048	118	14	and	and	CCONJ
ajst-5048	118	15	the	the	DET
ajst-5048	118	16	performance	performance	NOUN
ajst-5048	118	17	indexes	index	NOUN
ajst-5048	118	18	of	of	ADP
ajst-5048	118	19	the	the	DET
ajst-5048	118	20	three	three	NUM
ajst-5048	118	21	models	model	NOUN
ajst-5048	118	22	were	be	AUX
ajst-5048	118	23	calculated	calculate	VERB
ajst-5048	118	24	.	.	PUNCT
ajst-5048	119	1	figure	figure	VERB
ajst-5048	119	2	4	4	NUM
ajst-5048	119	3	-	-	PUNCT
ajst-5048	119	4	figure	figure	NOUN
ajst-5048	119	5	9	9	NUM
ajst-5048	119	6	shows	show	VERB
ajst-5048	119	7	the	the	DET
ajst-5048	119	8	results	result	NOUN
ajst-5048	119	9	.	.	PUNCT
ajst-5048	120	1	4.1	4.1	NUM
ajst-5048	120	2	.	.	PUNCT
ajst-5048	120	3	simulation	simulation	NOUN
ajst-5048	120	4	of	of	ADP
ajst-5048	120	5	polynomial	polynomial	ADJ
ajst-5048	120	6	prediction	prediction	NOUN
ajst-5048	120	7	model	model	NOUN
ajst-5048	120	8	figure	figure	NOUN
ajst-5048	120	9	4	4	NUM
ajst-5048	120	10	.	.	PUNCT
ajst-5048	120	11	simulation	simulation	NOUN
ajst-5048	120	12	results	result	NOUN
ajst-5048	120	13	of	of	ADP
ajst-5048	120	14	polynomial	polynomial	ADJ
ajst-5048	120	15	prediction	prediction	NOUN
ajst-5048	120	16	model	model	NOUN
ajst-5048	120	17	figure	figure	NOUN
ajst-5048	120	18	5	5	NUM
ajst-5048	120	19	.	.	PUNCT
ajst-5048	120	20	polynomial	polynomial	ADJ
ajst-5048	120	21	prediction	prediction	NOUN
ajst-5048	120	22	model	model	NOUN
ajst-5048	120	23	error	error	NOUN
ajst-5048	120	24	the	the	DET
ajst-5048	120	25	fitting	fitting	ADJ
ajst-5048	120	26	results	result	NOUN
ajst-5048	120	27	of	of	ADP
ajst-5048	120	28	polynomial	polynomial	ADJ
ajst-5048	120	29	model	model	NOUN
ajst-5048	120	30	are	be	AUX
ajst-5048	120	31	shown	show	VERB
ajst-5048	120	32	in	in	ADP
ajst-5048	120	33	figure	figure	NOUN
ajst-5048	120	34	4	4	NUM
ajst-5048	120	35	.	.	PUNCT
ajst-5048	121	1	the	the	DET
ajst-5048	121	2	mean	mean	ADJ
ajst-5048	121	3	square	square	ADJ
ajst-5048	121	4	error	error	NOUN
ajst-5048	121	5	is	be	AUX
ajst-5048	121	6	0.5658	0.5658	NUM
ajst-5048	121	7	,	,	PUNCT
ajst-5048	121	8	and	and	CCONJ
ajst-5048	121	9	the	the	DET
ajst-5048	121	10	correlation	correlation	NOUN
ajst-5048	121	11	coefficient	coefficient	NOUN
ajst-5048	121	12	is	be	AUX
ajst-5048	121	13	0.9898	0.9898	NUM
ajst-5048	121	14	.	.	PUNCT
ajst-5048	122	1	the	the	DET
ajst-5048	122	2	maximum	maximum	ADJ
ajst-5048	122	3	error	error	NOUN
ajst-5048	122	4	is	be	AUX
ajst-5048	122	5	1.9560	1.9560	NUM
ajst-5048	122	6	and	and	CCONJ
ajst-5048	122	7	the	the	DET
ajst-5048	122	8	minimum	minimum	NOUN
ajst-5048	122	9	error	error	NOUN
ajst-5048	122	10	is	be	AUX
ajst-5048	122	11	0.0022	0.0022	NUM
ajst-5048	122	12	,	,	PUNCT
ajst-5048	122	13	which	which	PRON
ajst-5048	122	14	appear	appear	VERB
ajst-5048	122	15	at	at	ADP
ajst-5048	122	16	the	the	DET
ajst-5048	122	17	89th	89th	ADJ
ajst-5048	122	18	and	and	CCONJ
ajst-5048	122	19	40th	40th	ADJ
ajst-5048	122	20	data	datum	NOUN
ajst-5048	122	21	groups	group	NOUN
ajst-5048	122	22	respectively	respectively	ADV
ajst-5048	122	23	.	.	PUNCT
ajst-5048	123	1	the	the	DET
ajst-5048	123	2	error	error	NOUN
ajst-5048	123	3	distribution	distribution	NOUN
ajst-5048	123	4	curve	curve	NOUN
ajst-5048	123	5	is	be	AUX
ajst-5048	123	6	shown	show	VERB
ajst-5048	123	7	in	in	ADP
ajst-5048	123	8	figure	figure	NOUN
ajst-5048	123	9	5	5	NUM
ajst-5048	123	10	.	.	NOUN
ajst-5048	123	11	153	153	NUM
ajst-5048	123	12	4.2	4.2	NUM
ajst-5048	123	13	.	.	PUNCT
ajst-5048	124	1	simulation	simulation	NOUN
ajst-5048	124	2	of	of	ADP
ajst-5048	124	3	least	least	ADJ
ajst-5048	124	4	square	square	ADJ
ajst-5048	124	5	linear	linear	ADJ
ajst-5048	124	6	fitting	fitting	ADJ
ajst-5048	124	7	model	model	NOUN
ajst-5048	124	8	figure	figure	NOUN
ajst-5048	124	9	6	6	NUM
ajst-5048	124	10	.	.	PUNCT
ajst-5048	125	1	simulation	simulation	NOUN
ajst-5048	125	2	results	result	NOUN
ajst-5048	125	3	of	of	ADP
ajst-5048	125	4	least	least	ADJ
ajst-5048	125	5	square	square	ADJ
ajst-5048	125	6	linear	linear	ADJ
ajst-5048	125	7	fitting	fitting	ADJ
ajst-5048	125	8	model	model	NOUN
ajst-5048	125	9	figure	figure	NOUN
ajst-5048	125	10	7	7	NUM
ajst-5048	125	11	.	.	PUNCT
ajst-5048	126	1	linear	linear	ADJ
ajst-5048	126	2	fitting	fitting	ADJ
ajst-5048	126	3	error	error	NOUN
ajst-5048	126	4	of	of	ADP
ajst-5048	126	5	the	the	DET
ajst-5048	126	6	least	least	ADJ
ajst-5048	126	7	square	square	ADJ
ajst-5048	126	8	method	method	NOUN
ajst-5048	126	9	the	the	DET
ajst-5048	126	10	fitting	fitting	ADJ
ajst-5048	126	11	results	result	NOUN
ajst-5048	126	12	of	of	ADP
ajst-5048	126	13	the	the	DET
ajst-5048	126	14	least	least	ADJ
ajst-5048	126	15	square	square	ADJ
ajst-5048	126	16	linear	linear	ADJ
ajst-5048	126	17	prediction	prediction	NOUN
ajst-5048	126	18	model	model	NOUN
ajst-5048	126	19	are	be	AUX
ajst-5048	126	20	shown	show	VERB
ajst-5048	126	21	in	in	ADP
ajst-5048	126	22	figure	figure	NOUN
ajst-5048	126	23	6	6	NUM
ajst-5048	126	24	.	.	PUNCT
ajst-5048	127	1	the	the	DET
ajst-5048	127	2	mean	mean	ADJ
ajst-5048	127	3	square	square	ADJ
ajst-5048	127	4	error	error	NOUN
ajst-5048	127	5	is	be	AUX
ajst-5048	127	6	0.5913	0.5913	NUM
ajst-5048	127	7	,	,	PUNCT
ajst-5048	127	8	and	and	CCONJ
ajst-5048	127	9	the	the	DET
ajst-5048	127	10	correlation	correlation	NOUN
ajst-5048	127	11	coefficient	coefficient	NOUN
ajst-5048	127	12	is	be	AUX
ajst-5048	127	13	0.9894	0.9894	NUM
ajst-5048	127	14	.	.	PUNCT
ajst-5048	128	1	the	the	DET
ajst-5048	128	2	maximum	maximum	ADJ
ajst-5048	128	3	error	error	NOUN
ajst-5048	128	4	is	be	AUX
ajst-5048	128	5	2.0777	2.0777	NUM
ajst-5048	128	6	and	and	CCONJ
ajst-5048	128	7	the	the	DET
ajst-5048	128	8	minimum	minimum	NOUN
ajst-5048	128	9	error	error	NOUN
ajst-5048	128	10	is	be	AUX
ajst-5048	128	11	0.0008	0.0008	NUM
ajst-5048	128	12	,	,	PUNCT
ajst-5048	128	13	which	which	PRON
ajst-5048	128	14	appear	appear	VERB
ajst-5048	128	15	at	at	ADP
ajst-5048	128	16	the	the	DET
ajst-5048	128	17	89th	89th	ADJ
ajst-5048	128	18	and	and	CCONJ
ajst-5048	128	19	52nd	52nd	ADJ
ajst-5048	128	20	data	datum	NOUN
ajst-5048	128	21	groups	group	NOUN
ajst-5048	128	22	respectively	respectively	ADV
ajst-5048	128	23	.	.	PUNCT
ajst-5048	129	1	the	the	DET
ajst-5048	129	2	error	error	NOUN
ajst-5048	129	3	distribution	distribution	NOUN
ajst-5048	129	4	curve	curve	NOUN
ajst-5048	129	5	is	be	AUX
ajst-5048	129	6	shown	show	VERB
ajst-5048	129	7	in	in	ADP
ajst-5048	129	8	figure	figure	NOUN
ajst-5048	129	9	7	7	NUM
ajst-5048	129	10	.	.	X
ajst-5048	129	11	4.3	4.3	NUM
ajst-5048	129	12	.	.	PUNCT
ajst-5048	129	13	bp	bp	PROPN
ajst-5048	129	14	neural	neural	PROPN
ajst-5048	129	15	network	network	PROPN
ajst-5048	129	16	model	model	PROPN
ajst-5048	129	17	simulation	simulation	PROPN
ajst-5048	129	18	figure	figure	NOUN
ajst-5048	129	19	8	8	NUM
ajst-5048	129	20	.	.	PUNCT
ajst-5048	130	1	simulation	simulation	NOUN
ajst-5048	130	2	results	result	NOUN
ajst-5048	130	3	of	of	ADP
ajst-5048	130	4	bp	bp	PROPN
ajst-5048	130	5	neural	neural	PROPN
ajst-5048	130	6	network	network	NOUN
ajst-5048	130	7	model	model	NOUN
ajst-5048	130	8	figure	figure	NOUN
ajst-5048	130	9	9	9	NUM
ajst-5048	130	10	.	.	NOUN
ajst-5048	130	11	error	error	NOUN
ajst-5048	130	12	of	of	ADP
ajst-5048	130	13	bp	bp	PROPN
ajst-5048	130	14	neural	neural	PROPN
ajst-5048	130	15	network	network	PROPN
ajst-5048	130	16	model	model	PROPN
ajst-5048	130	17	bp	bp	PROPN
ajst-5048	130	18	neural	neural	PROPN
ajst-5048	130	19	network	network	PROPN
ajst-5048	130	20	simulation	simulation	NOUN
ajst-5048	130	21	results	result	NOUN
ajst-5048	130	22	are	be	AUX
ajst-5048	130	23	shown	show	VERB
ajst-5048	130	24	in	in	ADP
ajst-5048	130	25	figure	figure	NOUN
ajst-5048	130	26	8	8	NUM
ajst-5048	130	27	.	.	PUNCT
ajst-5048	131	1	the	the	DET
ajst-5048	131	2	mean	mean	ADJ
ajst-5048	131	3	square	square	ADJ
ajst-5048	131	4	error	error	NOUN
ajst-5048	131	5	is	be	AUX
ajst-5048	131	6	0.4480	0.4480	NUM
ajst-5048	131	7	,	,	PUNCT
ajst-5048	131	8	and	and	CCONJ
ajst-5048	131	9	the	the	DET
ajst-5048	131	10	correlation	correlation	NOUN
ajst-5048	131	11	coefficient	coefficient	NOUN
ajst-5048	131	12	is	be	AUX
ajst-5048	131	13	0.9919	0.9919	NUM
ajst-5048	131	14	.	.	PUNCT
ajst-5048	132	1	the	the	DET
ajst-5048	132	2	maximum	maximum	ADJ
ajst-5048	132	3	error	error	NOUN
ajst-5048	132	4	is	be	AUX
ajst-5048	132	5	1.7280	1.7280	NUM
ajst-5048	132	6	and	and	CCONJ
ajst-5048	132	7	the	the	DET
ajst-5048	132	8	minimum	minimum	NOUN
ajst-5048	132	9	error	error	NOUN
ajst-5048	132	10	is	be	AUX
ajst-5048	132	11	0.0102	0.0102	NUM
ajst-5048	132	12	,	,	PUNCT
ajst-5048	132	13	which	which	PRON
ajst-5048	132	14	appear	appear	VERB
ajst-5048	132	15	respectively	respectively	ADV
ajst-5048	132	16	at	at	ADP
ajst-5048	132	17	the	the	DET
ajst-5048	132	18	88th	88th	ADJ
ajst-5048	132	19	and	and	CCONJ
ajst-5048	132	20	71st	71st	ADJ
ajst-5048	132	21	data	datum	NOUN
ajst-5048	132	22	groups	group	NOUN
ajst-5048	132	23	.	.	PUNCT
ajst-5048	133	1	the	the	DET
ajst-5048	133	2	error	error	NOUN
ajst-5048	133	3	distribution	distribution	NOUN
ajst-5048	133	4	curve	curve	NOUN
ajst-5048	133	5	is	be	AUX
ajst-5048	133	6	shown	show	VERB
ajst-5048	133	7	in	in	ADP
ajst-5048	133	8	figure	figure	NOUN
ajst-5048	133	9	10	10	NUM
ajst-5048	133	10	.	.	PUNCT
ajst-5048	134	1	table	table	NOUN
ajst-5048	134	2	1	1	NUM
ajst-5048	134	3	.	.	PUNCT
ajst-5048	134	4	evaluation	evaluation	NOUN
ajst-5048	134	5	parameters	parameter	NOUN
ajst-5048	134	6	of	of	ADP
ajst-5048	134	7	the	the	DET
ajst-5048	134	8	three	three	NUM
ajst-5048	134	9	models	model	NOUN
ajst-5048	134	10	polynomial	polynomial	ADJ
ajst-5048	134	11	model	model	NOUN
ajst-5048	134	12	least	least	ADJ
ajst-5048	134	13	square	square	ADJ
ajst-5048	134	14	model	model	NOUN
ajst-5048	134	15	bp	bp	PROPN
ajst-5048	134	16	neural	neural	PROPN
ajst-5048	134	17	network	network	PROPN
ajst-5048	134	18	model	model	PROPN
ajst-5048	134	19	maximum	maximum	NOUN
ajst-5048	134	20	error	error	NOUN
ajst-5048	134	21	1.9560	1.9560	NUM
ajst-5048	134	22	2.0777	2.0777	NUM
ajst-5048	134	23	1.7280	1.7280	NUM
ajst-5048	134	24	minimum	minimum	NOUN
ajst-5048	134	25	error	error	NOUN
ajst-5048	134	26	0.0022	0.0022	NUM
ajst-5048	134	27	0.0008	0.0008	NUM
ajst-5048	134	28	0.0102	0.0102	NUM
ajst-5048	134	29	mean	mean	ADJ
ajst-5048	134	30	square	square	ADJ
ajst-5048	134	31	error	error	NOUN
ajst-5048	134	32	0.5658	0.5658	NUM
ajst-5048	134	33	0.5913	0.5913	NUM
ajst-5048	134	34	0.4480	0.4480	NUM
ajst-5048	134	35	correlation	correlation	NOUN
ajst-5048	134	36	coefficient	coefficient	NOUN
ajst-5048	134	37	0.9898	0.9898	NUM
ajst-5048	134	38	0.9894	0.9894	NUM
ajst-5048	134	39	0.9919	0.9919	NUM
ajst-5048	134	40	5	5	NUM
ajst-5048	134	41	.	.	PUNCT
ajst-5048	135	1	summary	summary	NOUN
ajst-5048	135	2	based	base	VERB
ajst-5048	135	3	on	on	ADP
ajst-5048	135	4	the	the	DET
ajst-5048	135	5	cuttings	cutting	NOUN
ajst-5048	135	6	quality	quality	PROPN
ajst-5048	135	7	measurement	measurement	NOUN
ajst-5048	135	8	data	datum	NOUN
ajst-5048	135	9	,	,	PUNCT
ajst-5048	135	10	three	three	NUM
ajst-5048	135	11	cuttings	cutting	NOUN
ajst-5048	135	12	quality	quality	NOUN
ajst-5048	135	13	measurement	measurement	NOUN
ajst-5048	135	14	prediction	prediction	NOUN
ajst-5048	135	15	models	model	NOUN
ajst-5048	135	16	are	be	AUX
ajst-5048	135	17	studied	study	VERB
ajst-5048	135	18	in	in	ADP
ajst-5048	135	19	this	this	DET
ajst-5048	135	20	paper	paper	NOUN
ajst-5048	135	21	,	,	PUNCT
ajst-5048	135	22	which	which	PRON
ajst-5048	135	23	solves	solve	VERB
ajst-5048	135	24	the	the	DET
ajst-5048	135	25	problem	problem	NOUN
ajst-5048	135	26	of	of	ADP
ajst-5048	135	27	inaccurate	inaccurate	ADJ
ajst-5048	135	28	and	and	CCONJ
ajst-5048	135	29	discontinuous	discontinuous	ADJ
ajst-5048	135	30	cuttings	cutting	NOUN
ajst-5048	135	31	quality	quality	NOUN
ajst-5048	135	32	measurement	measurement	NOUN
ajst-5048	135	33	caused	cause	VERB
ajst-5048	135	34	by	by	ADP
ajst-5048	135	35	the	the	DET
ajst-5048	135	36	failure	failure	NOUN
ajst-5048	135	37	of	of	ADP
ajst-5048	135	38	cuttings	cutting	NOUN
ajst-5048	135	39	weighing	weigh	VERB
ajst-5048	135	40	device	device	NOUN
ajst-5048	135	41	or	or	CCONJ
ajst-5048	135	42	the	the	DET
ajst-5048	135	43	loss	loss	NOUN
ajst-5048	135	44	of	of	ADP
ajst-5048	135	45	acquisition	acquisition	NOUN
ajst-5048	135	46	data	datum	NOUN
ajst-5048	135	47	,	,	PUNCT
ajst-5048	135	48	and	and	CCONJ
ajst-5048	135	49	provides	provide	VERB
ajst-5048	135	50	a	a	DET
ajst-5048	135	51	basis	basis	NOUN
ajst-5048	135	52	for	for	ADP
ajst-5048	135	53	the	the	DET
ajst-5048	135	54	evaluation	evaluation	NOUN
ajst-5048	135	55	of	of	ADP
ajst-5048	135	56	borehole	borehole	NOUN
ajst-5048	135	57	cleaning	cleaning	NOUN
ajst-5048	135	58	in	in	ADP
ajst-5048	135	59	the	the	DET
ajst-5048	135	60	process	process	NOUN
ajst-5048	135	61	of	of	ADP
ajst-5048	135	62	horizontal	horizontal	ADJ
ajst-5048	135	63	well	well	NOUN
ajst-5048	135	64	drilling	drilling	NOUN
ajst-5048	135	65	and	and	CCONJ
ajst-5048	135	66	logging	log	VERB
ajst-5048	135	67	.	.	PUNCT
ajst-5048	136	1	the	the	DET
ajst-5048	136	2	following	follow	VERB
ajst-5048	136	3	conclusions	conclusion	NOUN
ajst-5048	136	4	are	be	AUX
ajst-5048	136	5	obtained	obtain	VERB
ajst-5048	136	6	in	in	ADP
ajst-5048	136	7	the	the	DET
ajst-5048	136	8	research	research	NOUN
ajst-5048	136	9	:	:	PUNCT
ajst-5048	136	10	1	1	X
ajst-5048	136	11	.	.	PUNCT
ajst-5048	136	12	combined	combine	VERB
ajst-5048	136	13	with	with	ADP
ajst-5048	136	14	the	the	DET
ajst-5048	136	15	cuttings	cutting	NOUN
ajst-5048	136	16	quality	quality	PROPN
ajst-5048	136	17	measurement	measurement	NOUN
ajst-5048	136	18	data	datum	NOUN
ajst-5048	136	19	,	,	PUNCT
ajst-5048	136	20	the	the	DET
ajst-5048	136	21	cuttings	cutting	NOUN
ajst-5048	136	22	flow	flow	VERB
ajst-5048	136	23	prediction	prediction	NOUN
ajst-5048	136	24	polynomial	polynomial	ADJ
ajst-5048	136	25	,	,	PUNCT
ajst-5048	136	26	least	least	ADJ
ajst-5048	136	27	square	square	ADJ
ajst-5048	136	28	method	method	NOUN
ajst-5048	136	29	and	and	CCONJ
ajst-5048	136	30	bp	bp	PROPN
ajst-5048	136	31	neural	neural	ADJ
ajst-5048	136	32	network	network	NOUN
ajst-5048	136	33	model	model	NOUN
ajst-5048	136	34	are	be	AUX
ajst-5048	136	35	established	establish	VERB
ajst-5048	136	36	.	.	PUNCT
ajst-5048	137	1	at	at	ADP
ajst-5048	137	2	the	the	DET
ajst-5048	137	3	same	same	ADJ
ajst-5048	137	4	time	time	NOUN
ajst-5048	137	5	,	,	PUNCT
ajst-5048	137	6	the	the	DET
ajst-5048	137	7	bp	bp	PROPN
ajst-5048	137	8	neural	neural	PROPN
ajst-5048	137	9	network	network	NOUN
ajst-5048	137	10	model	model	NOUN
ajst-5048	137	11	is	be	AUX
ajst-5048	137	12	superior	superior	ADJ
ajst-5048	137	13	to	to	ADP
ajst-5048	137	14	the	the	DET
ajst-5048	137	15	other	other	ADJ
ajst-5048	137	16	two	two	NUM
ajst-5048	137	17	models	model	NOUN
ajst-5048	137	18	in	in	ADP
ajst-5048	137	19	the	the	DET
ajst-5048	137	20	parameters	parameter	NOUN
ajst-5048	137	21	of	of	ADP
ajst-5048	137	22	maximum	maximum	ADJ
ajst-5048	137	23	error	error	NOUN
ajst-5048	137	24	,	,	PUNCT
ajst-5048	137	25	minimum	minimum	ADJ
ajst-5048	137	26	error	error	NOUN
ajst-5048	137	27	and	and	CCONJ
ajst-5048	137	28	mean	mean	ADJ
ajst-5048	137	29	square	square	ADJ
ajst-5048	137	30	error	error	NOUN
ajst-5048	137	31	.	.	PUNCT
ajst-5048	138	1	2	2	X
ajst-5048	138	2	.	.	X
ajst-5048	138	3	the	the	DET
ajst-5048	138	4	cuttings	cutting	NOUN
ajst-5048	138	5	flow	flow	NOUN
ajst-5048	138	6	prediction	prediction	NOUN
ajst-5048	138	7	model	model	NOUN
ajst-5048	138	8	based	base	VERB
ajst-5048	138	9	on	on	ADP
ajst-5048	138	10	bp	bp	PROPN
ajst-5048	138	11	neural	neural	ADJ
ajst-5048	138	12	network	network	NOUN
ajst-5048	138	13	can	can	AUX
ajst-5048	138	14	help	help	VERB
ajst-5048	138	15	diagnose	diagnose	VERB
ajst-5048	138	16	wellbore	wellbore	NOUN
ajst-5048	138	17	cleaning	cleaning	NOUN
ajst-5048	138	18	problems	problem	NOUN
ajst-5048	138	19	,	,	PUNCT
ajst-5048	138	20	realize	realize	VERB
ajst-5048	138	21	real	real	ADJ
ajst-5048	138	22	-	-	PUNCT
ajst-5048	138	23	time	time	NOUN
ajst-5048	138	24	and	and	CCONJ
ajst-5048	138	25	uninterrupted	uninterrupted	ADJ
ajst-5048	138	26	cuttings	cutting	NOUN
ajst-5048	138	27	quality	quality	NOUN
ajst-5048	138	28	measurement	measurement	NOUN
ajst-5048	138	29	,	,	PUNCT
ajst-5048	138	30	and	and	CCONJ
ajst-5048	138	31	reduce	reduce	VERB
ajst-5048	138	32	non	non	ADJ
ajst-5048	138	33	-	-	ADJ
ajst-5048	138	34	productive	productive	ADJ
ajst-5048	138	35	time	time	NOUN
ajst-5048	138	36	such	such	ADJ
ajst-5048	138	37	as	as	ADP
ajst-5048	138	38	stuck	stuck	ADJ
ajst-5048	138	39	drill	drill	NOUN
ajst-5048	138	40	.	.	PUNCT
ajst-5048	139	1	3	3	X
ajst-5048	139	2	.	.	X
ajst-5048	139	3	in	in	ADP
ajst-5048	139	4	the	the	DET
ajst-5048	139	5	next	next	ADJ
ajst-5048	139	6	step	step	NOUN
ajst-5048	139	7	,	,	PUNCT
ajst-5048	139	8	the	the	DET
ajst-5048	139	9	frequency	frequency	NOUN
ajst-5048	139	10	of	of	ADP
ajst-5048	139	11	data	datum	NOUN
ajst-5048	139	12	collection	collection	NOUN
ajst-5048	139	13	should	should	AUX
ajst-5048	139	14	154	154	NUM
ajst-5048	139	15	be	be	AUX
ajst-5048	139	16	increased	increase	VERB
ajst-5048	139	17	to	to	PART
ajst-5048	139	18	comprehensively	comprehensively	ADV
ajst-5048	139	19	consider	consider	VERB
ajst-5048	139	20	the	the	DET
ajst-5048	139	21	loss	loss	NOUN
ajst-5048	139	22	or	or	CCONJ
ajst-5048	139	23	failure	failure	NOUN
ajst-5048	139	24	of	of	ADP
ajst-5048	139	25	cuttings	cutting	NOUN
ajst-5048	139	26	quality	quality	NOUN
ajst-5048	139	27	data	datum	NOUN
ajst-5048	139	28	due	due	ADP
ajst-5048	139	29	to	to	ADP
ajst-5048	139	30	other	other	ADJ
ajst-5048	139	31	factors	factor	NOUN
ajst-5048	139	32	.	.	PUNCT
ajst-5048	140	1	references	reference	NOUN
ajst-5048	140	2	[	[	X
ajst-5048	140	3	1	1	NUM
ajst-5048	140	4	]	]	PUNCT
ajst-5048	140	5	chen	chen	PROPN
ajst-5048	140	6	aimin	aimin	PROPN
ajst-5048	140	7	.	.	PUNCT
ajst-5048	141	1	influencing	influence	VERB
ajst-5048	141	2	factors	factor	NOUN
ajst-5048	141	3	and	and	CCONJ
ajst-5048	141	4	countermeasures	countermeasure	NOUN
ajst-5048	141	5	of	of	ADP
ajst-5048	141	6	cuttings	cutting	NOUN
ajst-5048	141	7	logging	log	VERB
ajst-5048	141	8	[	[	X
ajst-5048	141	9	j	j	X
ajst-5048	141	10	]	]	X
ajst-5048	141	11	.	.	PUNCT
ajst-5048	142	1	petrochemical	petrochemical	NOUN
ajst-5048	142	2	technology	technology	NOUN
ajst-5048	142	3	,	,	PUNCT
ajst-5048	142	4	2021	2021	NUM
ajst-5048	142	5	,	,	PUNCT
ajst-5048	142	6	28(09	28(09	NUM
ajst-5048	142	7	):	):	PUNCT
ajst-5048	142	8	182	182	NUM
ajst-5048	142	9	-	-	SYM
ajst-5048	142	10	183	183	NUM
ajst-5048	142	11	.	.	PUNCT
ajst-5048	143	1	[	[	X
ajst-5048	143	2	2	2	X
ajst-5048	143	3	]	]	X
ajst-5048	143	4	shi	shi	PROPN
ajst-5048	143	5	lei	lei	PROPN
ajst-5048	143	6	,	,	PUNCT
ajst-5048	143	7	sun	sun	PROPN
ajst-5048	143	8	shuaishuai	shuaishuai	PROPN
ajst-5048	143	9	,	,	PUNCT
ajst-5048	143	10	wang	wang	PROPN
ajst-5048	143	11	yimin	yimin	PROPN
ajst-5048	143	12	.	.	PUNCT
ajst-5048	144	1	analysis	analysis	NOUN
ajst-5048	144	2	of	of	ADP
ajst-5048	144	3	borehole	borehole	NOUN
ajst-5048	144	4	cleaning	clean	VERB
ajst-5048	144	5	technology	technology	NOUN
ajst-5048	144	6	in	in	ADP
ajst-5048	144	7	extended	extended	ADJ
ajst-5048	144	8	reach	reach	VERB
ajst-5048	144	9	wells	well	NOUN
ajst-5048	145	1	[	[	X
ajst-5048	145	2	j	j	X
ajst-5048	145	3	]	]	X
ajst-5048	145	4	.	.	PUNCT
ajst-5048	145	5	petroleum	petroleum	NOUN
ajst-5048	145	6	and	and	CCONJ
ajst-5048	145	7	chemical	chemical	NOUN
ajst-5048	145	8	equipment	equipment	NOUN
ajst-5048	145	9	,	,	PUNCT
ajst-5048	145	10	2019	2019	NUM
ajst-5048	145	11	,	,	PUNCT
ajst-5048	145	12	22(08):71	22(08):71	NUM
ajst-5048	145	13	-	-	SYM
ajst-5048	145	14	72	72	NUM
ajst-5048	145	15	.	.	PUNCT
ajst-5048	146	1	[	[	X
ajst-5048	146	2	3	3	X
ajst-5048	146	3	]	]	X
ajst-5048	146	4	liu	liu	PROPN
ajst-5048	146	5	xiping	xiping	PROPN
ajst-5048	146	6	.	.	PUNCT
ajst-5048	147	1	discussion	discussion	NOUN
ajst-5048	147	2	on	on	ADP
ajst-5048	147	3	logging	log	VERB
ajst-5048	147	4	method	method	NOUN
ajst-5048	147	5	of	of	ADP
ajst-5048	147	6	directional	directional	ADJ
ajst-5048	147	7	well	well	ADV
ajst-5048	147	8	with	with	ADP
ajst-5048	147	9	large	large	ADJ
ajst-5048	147	10	deflection	deflection	NOUN
ajst-5048	148	1	[	[	X
ajst-5048	148	2	j	j	X
ajst-5048	148	3	]	]	X
ajst-5048	148	4	.	.	PUNCT
ajst-5048	149	1	vitality	vitality	NOUN
ajst-5048	149	2	,	,	PUNCT
ajst-5048	149	3	2005(4	2005(4	NUM
ajst-5048	149	4	)	)	PUNCT
ajst-5048	149	5	:	:	PUNCT
ajst-5048	149	6	233	233	NUM
ajst-5048	149	7	-	-	SYM
ajst-5048	149	8	234	234	NUM
ajst-5048	149	9	.	.	PUNCT
ajst-5048	150	1	[	[	X
ajst-5048	150	2	4	4	X
ajst-5048	150	3	]	]	X
ajst-5048	150	4	wang	wang	PROPN
ajst-5048	150	5	jianlong	jianlong	PROPN
ajst-5048	150	6	,	,	PUNCT
ajst-5048	150	7	zheng	zheng	PROPN
ajst-5048	150	8	feng	feng	PROPN
ajst-5048	150	9	,	,	PUNCT
ajst-5048	150	10	liu	liu	PROPN
ajst-5048	150	11	xuesong	xuesong	PROPN
ajst-5048	150	12	,	,	PUNCT
ajst-5048	150	13	cai	cai	PROPN
ajst-5048	150	14	yugui	yugui	PROPN
ajst-5048	150	15	,	,	PUNCT
ajst-5048	150	16	bai	bai	PROPN
ajst-5048	150	17	bing	bing	NOUN
ajst-5048	150	18	,	,	PUNCT
ajst-5048	150	19	yang	yang	PROPN
ajst-5048	150	20	zhen	zhen	PROPN
ajst-5048	150	21	,	,	PUNCT
ajst-5048	150	22	sun	sun	PROPN
ajst-5048	150	23	yalong	yalong	PROPN
ajst-5048	150	24	.	.	PUNCT
ajst-5048	150	25	research	research	NOUN
ajst-5048	150	26	progress	progress	NOUN
ajst-5048	150	27	and	and	CCONJ
ajst-5048	150	28	prospect	prospect	NOUN
ajst-5048	150	29	of	of	ADP
ajst-5048	150	30	borehole	borehole	NOUN
ajst-5048	150	31	cleaning	cleaning	NOUN
ajst-5048	150	32	tools	tool	NOUN
ajst-5048	150	33	[	[	X
ajst-5048	150	34	j	j	X
ajst-5048	150	35	]	]	X
ajst-5048	150	36	.	.	PUNCT
ajst-5048	151	1	china	china	PROPN
ajst-5048	151	2	petroleum	petroleum	PROPN
ajst-5048	151	3	machinery	machinery	NOUN
ajst-5048	151	4	,	,	PUNCT
ajst-5048	151	5	2018	2018	NUM
ajst-5048	151	6	,	,	PUNCT
ajst-5048	151	7	46(09):18	46(09):18	NUM
ajst-5048	151	8	-	-	SYM
ajst-5048	151	9	23	23	NUM
ajst-5048	151	10	.	.	PUNCT
ajst-5048	152	1	[	[	X
ajst-5048	152	2	5	5	NUM
ajst-5048	152	3	]	]	PUNCT
ajst-5048	152	4	xiao	xiao	PROPN
ajst-5048	152	5	jingtao	jingtao	PROPN
ajst-5048	152	6	,	,	PUNCT
ajst-5048	152	7	ren	ren	PROPN
ajst-5048	152	8	zhonghong	zhonghong	PROPN
ajst-5048	152	9	,	,	PUNCT
ajst-5048	152	10	wang	wang	PROPN
ajst-5048	152	11	qiang	qiang	PROPN
ajst-5048	152	12	,	,	PUNCT
ajst-5048	152	13	cui	cui	PROPN
ajst-5048	152	14	zhongfeng	zhongfeng	PROPN
ajst-5048	152	15	,	,	PUNCT
ajst-5048	152	16	li	li	PROPN
ajst-5048	152	17	yanfeng	yanfeng	PROPN
ajst-5048	152	18	,	,	PUNCT
ajst-5048	152	19	li	li	PROPN
ajst-5048	152	20	fukai	fukai	PROPN
ajst-5048	152	21	,	,	PUNCT
ajst-5048	152	22	hu	hu	PROPN
ajst-5048	152	23	fengbo	fengbo	PROPN
ajst-5048	152	24	.	.	PUNCT
ajst-5048	153	1	development	development	NOUN
ajst-5048	153	2	and	and	CCONJ
ajst-5048	153	3	field	field	NOUN
ajst-5048	153	4	experiment	experiment	NOUN
ajst-5048	153	5	of	of	ADP
ajst-5048	153	6	wireless	wireless	ADJ
ajst-5048	153	7	cuttings	cutting	NOUN
ajst-5048	153	8	flow	flow	NOUN
ajst-5048	153	9	measuring	measure	VERB
ajst-5048	153	10	device	device	NOUN
ajst-5048	154	1	[	[	X
ajst-5048	154	2	j	j	X
ajst-5048	154	3	]	]	X
ajst-5048	154	4	.	.	PUNCT
ajst-5048	155	1	logging	log	VERB
ajst-5048	155	2	engineering,2018,29(04):66	engineering,2018,29(04):66	NOUN
ajst-5048	155	3	-	-	PROPN
ajst-5048	155	4	69	69	NUM
ajst-5048	155	5	+	+	NOUN
ajst-5048	155	6	102	102	NUM
ajst-5048	155	7	.	.	PUNCT
ajst-5048	156	1	[	[	X
ajst-5048	156	2	6	6	NUM
ajst-5048	156	3	]	]	PUNCT
ajst-5048	156	4	zeng	zeng	PROPN
ajst-5048	156	5	yongwen	yongwen	PROPN
ajst-5048	156	6	,	,	PUNCT
ajst-5048	156	7	wang	wang	PROPN
ajst-5048	156	8	dongsheng	dongsheng	PROPN
ajst-5048	156	9	,	,	PUNCT
ajst-5048	156	10	zhang	zhang	PROPN
ajst-5048	156	11	jijun	jijun	PROPN
ajst-5048	156	12	,	,	PUNCT
ajst-5048	156	13	zhang	zhang	PROPN
ajst-5048	156	14	liang	liang	PROPN
ajst-5048	156	15	.	.	PUNCT
ajst-5048	156	16	research	research	NOUN
ajst-5048	156	17	and	and	CCONJ
ajst-5048	156	18	application	application	NOUN
ajst-5048	156	19	of	of	ADP
ajst-5048	156	20	cuttings	cutting	NOUN
ajst-5048	156	21	volume	volume	NOUN
ajst-5048	156	22	balance	balance	NOUN
ajst-5048	156	23	calculation	calculation	NOUN
ajst-5048	156	24	method	method	NOUN
ajst-5048	156	25	in	in	ADP
ajst-5048	156	26	horizontal	horizontal	ADJ
ajst-5048	156	27	well	well	NOUN
ajst-5048	157	1	[	[	X
ajst-5048	157	2	j	j	X
ajst-5048	157	3	]	]	X
ajst-5048	157	4	.	.	PUNCT
ajst-5048	158	1	logging	log	VERB
ajst-5048	158	2	engineering	engineering	NOUN
ajst-5048	158	3	,	,	PUNCT
ajst-5048	158	4	2019	2019	NUM
ajst-5048	158	5	,	,	PUNCT
ajst-5048	158	6	30(01):13	30(01):13	NUM
ajst-5048	158	7	-	-	SYM
ajst-5048	158	8	16	16	NUM
ajst-5048	158	9	+	+	NOUN
ajst-5048	158	10	136	136	NUM
ajst-5048	158	11	.	.	PUNCT
ajst-5048	159	1	[	[	X
ajst-5048	159	2	7	7	X
ajst-5048	159	3	]	]	X
ajst-5048	159	4	zeng	zeng	PROPN
ajst-5048	159	5	jianxin	jianxin	PROPN
ajst-5048	159	6	,	,	PUNCT
ajst-5048	159	7	wu	wu	PROPN
ajst-5048	159	8	shenyao	shenyao	PROPN
ajst-5048	159	9	,	,	PUNCT
ajst-5048	159	10	luo	luo	PROPN
ajst-5048	159	11	yi	yi	PROPN
ajst-5048	159	12	,	,	PUNCT
ajst-5048	159	13	tan	tan	PROPN
ajst-5048	159	14	ting	ting	PROPN
ajst-5048	159	15	,	,	PUNCT
ajst-5048	159	16	lei	lei	PROPN
ajst-5048	159	17	yin	yin	PROPN
ajst-5048	159	18	,	,	PUNCT
ajst-5048	159	19	lu	lu	PROPN
ajst-5048	159	20	hang	hang	PROPN
ajst-5048	159	21	,	,	PUNCT
ajst-5048	159	22	zheng	zheng	PROPN
ajst-5048	159	23	ke	ke	PROPN
ajst-5048	159	24	,	,	PUNCT
ajst-5048	159	25	peng	peng	PROPN
ajst-5048	159	26	wen	wen	PROPN
ajst-5048	159	27	,	,	PUNCT
ajst-5048	159	28	ding	de	VERB
ajst-5048	159	29	jianping	jianping	NOUN
ajst-5048	159	30	.	.	PUNCT
ajst-5048	160	1	application	application	NOUN
ajst-5048	160	2	of	of	ADP
ajst-5048	160	3	borehole	borehole	NOUN
ajst-5048	160	4	cleaning	clean	VERB
ajst-5048	160	5	monitoring	monitoring	NOUN
ajst-5048	160	6	system	system	NOUN
ajst-5048	160	7	in	in	ADP
ajst-5048	160	8	southwest	southwest	ADJ
ajst-5048	160	9	oil	oil	NOUN
ajst-5048	160	10	and	and	CCONJ
ajst-5048	160	11	gas	gas	NOUN
ajst-5048	160	12	field	field	NOUN
ajst-5048	161	1	[	[	X
ajst-5048	161	2	j	j	X
ajst-5048	161	3	]	]	X
ajst-5048	161	4	.	.	PUNCT
ajst-5048	162	1	logging	log	VERB
ajst-5048	162	2	engineering,2021,32(02):96	engineering,2021,32(02):96	NOUN
ajst-5048	162	3	-	-	PROPN
ajst-5048	162	4	101	101	NUM
ajst-5048	162	5	.	.	PUNCT
ajst-5048	163	1	[	[	X
ajst-5048	163	2	8	8	NUM
ajst-5048	163	3	]	]	X
ajst-5048	163	4	zhao	zhao	PROPN
ajst-5048	163	5	haoliang	haoliang	PROPN
ajst-5048	163	6	.	.	PUNCT
ajst-5048	164	1	research	research	NOUN
ajst-5048	164	2	on	on	ADP
ajst-5048	164	3	borehole	borehole	NOUN
ajst-5048	164	4	cleaning	clean	VERB
ajst-5048	164	5	real	real	ADJ
ajst-5048	164	6	-	-	PUNCT
ajst-5048	164	7	time	time	NOUN
ajst-5048	164	8	monitoring	monitoring	NOUN
ajst-5048	164	9	and	and	CCONJ
ajst-5048	164	10	analysis	analysis	NOUN
ajst-5048	164	11	system	system	NOUN
ajst-5048	165	1	[	[	X
ajst-5048	165	2	d	d	X
ajst-5048	165	3	]	]	X
ajst-5048	165	4	.	.	PUNCT
ajst-5048	166	1	southwest	southwest	ADJ
ajst-5048	166	2	petroleum	petroleum	NOUN
ajst-5048	166	3	university,2018	university,2018	NOUN
ajst-5048	166	4	.	.	PUNCT
ajst-5048	167	1	[	[	X
ajst-5048	167	2	9	9	NUM
ajst-5048	167	3	]	]	X
ajst-5048	167	4	yan	yan	PROPN
ajst-5048	167	5	tie	tie	PROPN
ajst-5048	167	6	,	,	PUNCT
ajst-5048	167	7	shao	shao	PROPN
ajst-5048	167	8	shuai	shuai	PROPN
ajst-5048	167	9	,	,	PUNCT
ajst-5048	167	10	sun	sun	PROPN
ajst-5048	167	11	xiaofeng	xiaofeng	PROPN
ajst-5048	167	12	,	,	PUNCT
ajst-5048	167	13	zheng	zheng	PROPN
ajst-5048	167	14	liming	liming	NOUN
ajst-5048	167	15	,	,	PUNCT
ajst-5048	167	16	yuan	yuan	NOUN
ajst-5048	167	17	zhenyu	zhenyu	PROPN
ajst-5048	167	18	,	,	PUNCT
ajst-5048	167	19	luan	luan	PROPN
ajst-5048	167	20	shizhu	shizhu	PROPN
ajst-5048	167	21	.	.	PUNCT
ajst-5048	168	1	study	study	NOUN
ajst-5048	168	2	on	on	ADP
ajst-5048	168	3	the	the	DET
ajst-5048	168	4	movement	movement	NOUN
ajst-5048	168	5	of	of	ADP
ajst-5048	168	6	cuttings	cutting	NOUN
ajst-5048	168	7	under	under	ADP
ajst-5048	168	8	the	the	DET
ajst-5048	168	9	action	action	NOUN
ajst-5048	168	10	of	of	ADP
ajst-5048	168	11	borehole	borehole	NOUN
ajst-5048	168	12	cleaning	cleaning	NOUN
ajst-5048	168	13	tools	tool	NOUN
ajst-5048	168	14	[	[	X
ajst-5048	168	15	j	j	X
ajst-5048	168	16	]	]	X
ajst-5048	168	17	.	.	PUNCT
ajst-5048	169	1	oil	oil	NOUN
ajst-5048	169	2	drilling	drilling	NOUN
ajst-5048	169	3	&	&	CCONJ
ajst-5048	169	4	production	production	NOUN
ajst-5048	169	5	technology,2013,35(03):1	technology,2013,35(03):1	PROPN
ajst-5048	169	6	-	-	PUNCT
ajst-5048	169	7	4	4	NUM
ajst-5048	169	8	.	.	PUNCT
ajst-5048	170	1	[	[	X
ajst-5048	170	2	10	10	NUM
ajst-5048	170	3	]	]	X
ajst-5048	170	4	jin	jin	NOUN
ajst-5048	170	5	wenming	wenming	NOUN
ajst-5048	170	6	,	,	PUNCT
ajst-5048	170	7	ni	ni	PROPN
ajst-5048	170	8	pengbo	pengbo	NOUN
ajst-5048	170	9	,	,	PUNCT
ajst-5048	170	10	mao	mao	PROPN
ajst-5048	170	11	ming	ming	PROPN
ajst-5048	170	12	,	,	PUNCT
ajst-5048	170	13	qin	qin	PROPN
ajst-5048	170	14	tianbao.application	tianbao.application	NOUN
ajst-5048	170	15	of	of	ADP
ajst-5048	170	16	a	a	DET
ajst-5048	170	17	new	new	ADJ
ajst-5048	170	18	borehole	borehole	NOUN
ajst-5048	170	19	cleaning	clean	VERB
ajst-5048	170	20	monitoring	monitoring	NOUN
ajst-5048	170	21	system	system	NOUN
ajst-5048	170	22	in	in	ADP
ajst-5048	170	23	drilling	drilling	NOUN
ajst-5048	170	24	efficiency	efficiency	NOUN
ajst-5048	170	25	improvement	improvement	NOUN
ajst-5048	171	1	[	[	X
ajst-5048	171	2	j	j	X
ajst-5048	171	3	]	]	X
ajst-5048	171	4	.	.	PUNCT
ajst-5048	172	1	china	china	PROPN
ajst-5048	172	2	science	science	PROPN
ajst-5048	172	3	and	and	CCONJ
ajst-5048	172	4	technology	technology	NOUN
ajst-5048	172	5	information,2021(12):74	information,2021(12):74	NOUN
ajst-5048	172	6	-	-	PUNCT
ajst-5048	172	7	75	75	NUM
ajst-5048	172	8	.	.	PUNCT
ajst-5048	173	1	[	[	X
ajst-5048	173	2	11	11	NUM
ajst-5048	173	3	]	]	PUNCT
ajst-5048	173	4	zipser	zipser	NOUN
ajst-5048	173	5	d	d	NOUN
ajst-5048	173	6	,	,	PUNCT
ajst-5048	173	7	andersen	andersen	PROPN
ajst-5048	173	8	r	r	NOUN
ajst-5048	173	9	a.	a.	NOUN
ajst-5048	173	10	a	a	DET
ajst-5048	173	11	back	back	ADJ
ajst-5048	173	12	-	-	PUNCT
ajst-5048	173	13	propagation	propagation	NOUN
ajst-5048	173	14	programmed	program	VERB
ajst-5048	173	15	network	network	NOUN
ajst-5048	173	16	that	that	PRON
ajst-5048	173	17	simulates	simulate	VERB
ajst-5048	173	18	response	response	NOUN
ajst-5048	173	19	properties	property	NOUN
ajst-5048	173	20	of	of	ADP
ajst-5048	173	21	a	a	DET
ajst-5048	173	22	subset	subset	NOUN
ajst-5048	173	23	of	of	ADP
ajst-5048	173	24	posterior	posterior	ADJ
ajst-5048	173	25	parietal	parietal	ADJ
ajst-5048	173	26	neurons.[j	neurons.[j	NOUN
ajst-5048	173	27	]	]	PUNCT
ajst-5048	173	28	.	.	PUNCT
ajst-5048	174	1	nature,1988,331(6158	nature,1988,331(6158	VERB
ajst-5048	174	2	)	)	PUNCT
ajst-5048	174	3	.	.	PUNCT
ajst-5048	175	1	[	[	X
ajst-5048	175	2	12	12	NUM
ajst-5048	175	3	]	]	X
ajst-5048	175	4	liu	liu	PROPN
ajst-5048	175	5	tianshu	tianshu	PROPN
ajst-5048	175	6	.	.	PUNCT
ajst-5048	176	1	improvement	improvement	NOUN
ajst-5048	176	2	research	research	NOUN
ajst-5048	176	3	and	and	CCONJ
ajst-5048	176	4	application	application	NOUN
ajst-5048	176	5	of	of	ADP
ajst-5048	176	6	bp	bp	PROPN
ajst-5048	176	7	neural	neural	ADJ
ajst-5048	176	8	network	network	NOUN
ajst-5048	177	1	[	[	X
ajst-5048	177	2	d	d	X
ajst-5048	177	3	]	]	X
ajst-5048	177	4	.	.	PUNCT
ajst-5048	178	1	northeast	northeast	ADJ
ajst-5048	178	2	agricultural	agricultural	ADJ
ajst-5048	178	3	university,2011	university,2011	PROPN
ajst-5048	178	4	.	.	PUNCT