id	sid	tid	token	lemma	pos
cet-12751	1	1	pres22_0231.docx	pres22_0231.docx	PROPN
cet-12751	1	2	doi	doi	NOUN
cet-12751	1	3	:	:	PUNCT
cet-12751	1	4	10.3303	10.3303	NUM
cet-12751	1	5	/	/	SYM
cet-12751	1	6	cet2294194	cet2294194	NOUN
cet-12751	1	7	paper	paper	NOUN
cet-12751	1	8	received	receive	VERB
cet-12751	1	9	:	:	PUNCT
cet-12751	1	10	12	12	NUM
cet-12751	1	11	april	april	PROPN
cet-12751	1	12	2022	2022	NUM
cet-12751	1	13	;	;	PUNCT
cet-12751	1	14	revised	revise	VERB
cet-12751	1	15	:	:	PUNCT
cet-12751	1	16	20	20	NUM
cet-12751	1	17	may	may	PROPN
cet-12751	1	18	2022	2022	NUM
cet-12751	1	19	;	;	PUNCT
cet-12751	1	20	accepted	accept	VERB
cet-12751	1	21	:	:	PUNCT
cet-12751	1	22	02	02	NUM
cet-12751	1	23	june	june	PROPN
cet-12751	1	24	2022	2022	NUM
cet-12751	1	25	please	please	INTJ
cet-12751	1	26	cite	cite	VERB
cet-12751	1	27	this	this	DET
cet-12751	1	28	article	article	NOUN
cet-12751	1	29	as	as	ADP
cet-12751	1	30	:	:	PUNCT
cet-12751	1	31	du	du	PROPN
cet-12751	1	32	j.	j.	PROPN
cet-12751	1	33	,	,	PUNCT
cet-12751	1	34	zheng	zheng	PROPN
cet-12751	1	35	j.	j.	PROPN
cet-12751	1	36	,	,	PUNCT
cet-12751	1	37	liang	liang	PROPN
cet-12751	1	38	y.	y.	PROPN
cet-12751	1	39	,	,	PUNCT
cet-12751	1	40	liao	liao	PROPN
cet-12751	1	41	q.	q.	PROPN
cet-12751	1	42	,	,	PUNCT
cet-12751	1	43	wang	wang	PROPN
cet-12751	1	44	b.	b.	PROPN
cet-12751	1	45	,	,	PUNCT
cet-12751	1	46	2022	2022	NUM
cet-12751	1	47	,	,	PUNCT
cet-12751	1	48	a	a	DET
cet-12751	1	49	hybrid	hybrid	ADJ
cet-12751	1	50	intelligent	intelligent	ADJ
cet-12751	1	51	method	method	NOUN
cet-12751	1	52	for	for	ADP
cet-12751	1	53	predicting	predict	VERB
cet-12751	1	54	gasoline	gasoline	NOUN
cet-12751	1	55	octane	octane	NOUN
cet-12751	1	56	number	number	NOUN
cet-12751	1	57	and	and	CCONJ
cet-12751	1	58	optimising	optimise	VERB
cet-12751	1	59	operation	operation	NOUN
cet-12751	1	60	parameters	parameter	NOUN
cet-12751	1	61	,	,	PUNCT
cet-12751	1	62	chemical	chemical	ADJ
cet-12751	1	63	engineering	engineering	NOUN
cet-12751	1	64	transactions	transaction	NOUN
cet-12751	1	65	,	,	PUNCT
cet-12751	1	66	94	94	NUM
cet-12751	1	67	,	,	PUNCT
cet-12751	1	68	1165	1165	NUM
cet-12751	1	69	-	-	SYM
cet-12751	1	70	1170	1170	NUM
cet-12751	1	71	doi:10.3303	doi:10.3303	NOUN
cet-12751	1	72	/	/	SYM
cet-12751	1	73	cet2294194	cet2294194	NOUN
cet-12751	1	74	chemical	chemical	PROPN
cet-12751	1	75	engineering	engineering	NOUN
cet-12751	1	76	transactions	transaction	NOUN
cet-12751	1	77	vol	vol	NOUN
cet-12751	1	78	.	.	PROPN
cet-12751	1	79	94	94	NUM
cet-12751	1	80	,	,	PUNCT
cet-12751	1	81	2022	2022	NUM
cet-12751	1	82	a	a	DET
cet-12751	1	83	publication	publication	NOUN
cet-12751	1	84	of	of	ADP
cet-12751	1	85	the	the	DET
cet-12751	1	86	italian	italian	ADJ
cet-12751	1	87	association	association	NOUN
cet-12751	1	88	of	of	ADP
cet-12751	1	89	chemical	chemical	PROPN
cet-12751	1	90	engineering	engineering	NOUN
cet-12751	1	91	online	online	ADV
cet-12751	1	92	at	at	ADP
cet-12751	1	93	www.cetjournal.it	www.cetjournal.it	PROPN
cet-12751	1	94	guest	guest	NOUN
cet-12751	1	95	editors	editor	NOUN
cet-12751	1	96	:	:	PUNCT
cet-12751	1	97	petar	petar	PROPN
cet-12751	1	98	s.	s.	PROPN
cet-12751	1	99	varbanov	varbanov	PROPN
cet-12751	1	100	,	,	PUNCT
cet-12751	1	101	yee	yee	PROPN
cet-12751	1	102	van	van	PROPN
cet-12751	1	103	fan	fan	PROPN
cet-12751	1	104	,	,	PUNCT
cet-12751	1	105	jiří	jiří	NOUN
cet-12751	1	106	j.	j.	PROPN
cet-12751	1	107	klemeš	klemeš	PROPN
cet-12751	1	108	,	,	PUNCT
cet-12751	1	109	sandro	sandro	PROPN
cet-12751	1	110	nižetić	nižetić	PROPN
cet-12751	1	111	copyright	copyright	NOUN
cet-12751	1	112	©	©	PROPN
cet-12751	1	113	2022	2022	NUM
cet-12751	1	114	,	,	PUNCT
cet-12751	1	115	aidic	aidic	ADJ
cet-12751	1	116	servizi	servizi	PROPN
cet-12751	1	117	s.r.l	s.r.l	PROPN
cet-12751	1	118	.	.	PUNCT
cet-12751	2	1	isbn	isbn	ADJ
cet-12751	2	2	978	978	NUM
cet-12751	2	3	-	-	SYM
cet-12751	2	4	88	88	NUM
cet-12751	2	5	-	-	PUNCT
cet-12751	2	6	95608	95608	NUM
cet-12751	2	7	-	-	PUNCT
cet-12751	2	8	93	93	NUM
cet-12751	2	9	-	-	SYM
cet-12751	2	10	8	8	NUM
cet-12751	2	11	;	;	PUNCT
cet-12751	2	12	issn	issn	PROPN
cet-12751	2	13	2283	2283	NUM
cet-12751	2	14	-	-	SYM
cet-12751	2	15	9216	9216	NUM
cet-12751	2	16	a	a	DET
cet-12751	2	17	hybrid	hybrid	ADJ
cet-12751	2	18	intelligent	intelligent	ADJ
cet-12751	2	19	method	method	NOUN
cet-12751	2	20	for	for	ADP
cet-12751	2	21	predicting	predict	VERB
cet-12751	2	22	gasoline	gasoline	NOUN
cet-12751	2	23	octane	octane	NOUN
cet-12751	2	24	number	number	NOUN
cet-12751	2	25	and	and	CCONJ
cet-12751	2	26	optimising	optimise	VERB
cet-12751	2	27	operation	operation	NOUN
cet-12751	2	28	parameters	parameter	NOUN
cet-12751	2	29	jian	jian	PROPN
cet-12751	2	30	dub	dub	PROPN
cet-12751	2	31	,	,	PUNCT
cet-12751	2	32	jianqin	jianqin	PROPN
cet-12751	2	33	zhengb	zhengb	NOUN
cet-12751	2	34	,	,	PUNCT
cet-12751	2	35	yongtu	yongtu	PROPN
cet-12751	2	36	liangb	liangb	PROPN
cet-12751	2	37	,	,	PUNCT
cet-12751	2	38	qi	qi	PROPN
cet-12751	2	39	liaob	liaob	NOUN
cet-12751	2	40	,	,	PUNCT
cet-12751	2	41	bohong	bohong	NOUN
cet-12751	2	42	wanga	wanga	NOUN
cet-12751	2	43	,	,	PUNCT
cet-12751	2	44	*	*	PUNCT
cet-12751	2	45	a	a	DET
cet-12751	2	46	national	national	ADJ
cet-12751	2	47	-	-	PUNCT
cet-12751	2	48	local	local	ADJ
cet-12751	2	49	joint	joint	ADJ
cet-12751	2	50	engineering	engineering	NOUN
cet-12751	2	51	laboratory	laboratory	NOUN
cet-12751	2	52	of	of	ADP
cet-12751	2	53	harbor	harbor	PROPN
cet-12751	2	54	oil	oil	PROPN
cet-12751	2	55	&	&	CCONJ
cet-12751	2	56	gas	gas	NOUN
cet-12751	2	57	storage	storage	NOUN
cet-12751	2	58	and	and	CCONJ
cet-12751	2	59	transportation	transportation	NOUN
cet-12751	2	60	technology	technology	NOUN
cet-12751	2	61	/	/	SYM
cet-12751	2	62	zhejiang	zhejiang	PROPN
cet-12751	2	63	provincial	provincial	ADJ
cet-12751	2	64	key	key	ADJ
cet-12751	2	65	laboratory	laboratory	NOUN
cet-12751	2	66	of	of	ADP
cet-12751	2	67	petrochemical	petrochemical	NOUN
cet-12751	2	68	pollution	pollution	NOUN
cet-12751	2	69	control	control	NOUN
cet-12751	2	70	,	,	PUNCT
cet-12751	2	71	zhejiang	zhejiang	PROPN
cet-12751	2	72	ocean	ocean	PROPN
cet-12751	2	73	university	university	PROPN
cet-12751	2	74	,	,	PUNCT
cet-12751	2	75	zhoushan	zhoushan	PROPN
cet-12751	2	76	,	,	PUNCT
cet-12751	2	77	316022	316022	NUM
cet-12751	2	78	,	,	PUNCT
cet-12751	2	79	pr	pr	ADP
cet-12751	2	80	china	china	PROPN
cet-12751	2	81	b	b	PROPN
cet-12751	2	82	national	national	PROPN
cet-12751	2	83	engineering	engineering	PROPN
cet-12751	2	84	laboratory	laboratory	NOUN
cet-12751	2	85	for	for	ADP
cet-12751	2	86	pipeline	pipeline	NOUN
cet-12751	2	87	safety/	safety/	NUM
cet-12751	2	88	moe	moe	NOUN
cet-12751	2	89	key	key	ADJ
cet-12751	2	90	laboratory	laboratory	NOUN
cet-12751	2	91	of	of	ADP
cet-12751	2	92	petroleum	petroleum	NOUN
cet-12751	2	93	engineering/	engineering/	NUM
cet-12751	2	94	beijing	beijing	PROPN
cet-12751	2	95	key	key	ADJ
cet-12751	2	96	laboratory	laboratory	NOUN
cet-12751	2	97	of	of	ADP
cet-12751	2	98	urban	urban	ADJ
cet-12751	2	99	oil	oil	NOUN
cet-12751	2	100	and	and	CCONJ
cet-12751	2	101	gas	gas	NOUN
cet-12751	2	102	distribution	distribution	NOUN
cet-12751	2	103	technology	technology	NOUN
cet-12751	2	104	,	,	PUNCT
cet-12751	2	105	china	china	PROPN
cet-12751	2	106	university	university	PROPN
cet-12751	2	107	of	of	ADP
cet-12751	2	108	petroleum	petroleum	PROPN
cet-12751	2	109	-	-	PUNCT
cet-12751	2	110	beijing	beijing	PROPN
cet-12751	2	111	,	,	PUNCT
cet-12751	2	112	fuxue	fuxue	NOUN
cet-12751	2	113	road	road	NOUN
cet-12751	2	114	no	no	INTJ
cet-12751	2	115	.	.	PROPN
cet-12751	2	116	18	18	NUM
cet-12751	2	117	,	,	PUNCT
cet-12751	2	118	changping	changping	NOUN
cet-12751	2	119	district	district	NOUN
cet-12751	2	120	,	,	PUNCT
cet-12751	2	121	beijing	beijing	PROPN
cet-12751	2	122	102249	102249	NUM
cet-12751	2	123	,	,	PUNCT
cet-12751	2	124	pr	pr	ADP
cet-12751	2	125	china	china	PROPN
cet-12751	2	126	wangbh@zjou.edu.cn	wangbh@zjou.edu.cn	VERB
cet-12751	2	127	the	the	DET
cet-12751	2	128	research	research	NOUN
cet-12751	2	129	octane	octane	NOUN
cet-12751	2	130	number	number	NOUN
cet-12751	2	131	(	(	PUNCT
cet-12751	2	132	ron	ron	PROPN
cet-12751	2	133	)	)	PUNCT
cet-12751	2	134	is	be	AUX
cet-12751	2	135	a	a	DET
cet-12751	2	136	significant	significant	ADJ
cet-12751	2	137	indicator	indicator	NOUN
cet-12751	2	138	for	for	ADP
cet-12751	2	139	reflecting	reflect	VERB
cet-12751	2	140	the	the	DET
cet-12751	2	141	combustion	combustion	NOUN
cet-12751	2	142	performance	performance	NOUN
cet-12751	2	143	of	of	ADP
cet-12751	2	144	gasoline	gasoline	NOUN
cet-12751	2	145	,	,	PUNCT
cet-12751	2	146	and	and	CCONJ
cet-12751	2	147	the	the	DET
cet-12751	2	148	products	product	NOUN
cet-12751	2	149	of	of	ADP
cet-12751	2	150	gasoline	gasoline	NOUN
cet-12751	2	151	combustion	combustion	NOUN
cet-12751	2	152	provide	provide	VERB
cet-12751	2	153	a	a	DET
cet-12751	2	154	major	major	ADJ
cet-12751	2	155	influence	influence	NOUN
cet-12751	2	156	on	on	ADP
cet-12751	2	157	the	the	DET
cet-12751	2	158	atmospheric	atmospheric	ADJ
cet-12751	2	159	environment	environment	NOUN
cet-12751	2	160	.	.	PUNCT
cet-12751	3	1	it	it	PRON
cet-12751	3	2	is	be	AUX
cet-12751	3	3	crucial	crucial	ADJ
cet-12751	3	4	to	to	PART
cet-12751	3	5	measure	measure	VERB
cet-12751	3	6	ron	ron	PROPN
cet-12751	3	7	during	during	ADP
cet-12751	3	8	the	the	DET
cet-12751	3	9	process	process	NOUN
cet-12751	3	10	of	of	ADP
cet-12751	3	11	gasoline	gasoline	NOUN
cet-12751	3	12	refining	refining	NOUN
cet-12751	3	13	.	.	PUNCT
cet-12751	4	1	however	however	ADV
cet-12751	4	2	,	,	PUNCT
cet-12751	4	3	current	current	ADJ
cet-12751	4	4	methods	method	NOUN
cet-12751	4	5	generally	generally	ADV
cet-12751	4	6	use	use	VERB
cet-12751	4	7	the	the	DET
cet-12751	4	8	instrument	instrument	NOUN
cet-12751	4	9	in	in	ADP
cet-12751	4	10	the	the	DET
cet-12751	4	11	laboratory	laboratory	NOUN
cet-12751	4	12	to	to	PART
cet-12751	4	13	measure	measure	VERB
cet-12751	4	14	ron	ron	PROPN
cet-12751	4	15	,	,	PUNCT
cet-12751	4	16	which	which	PRON
cet-12751	4	17	is	be	AUX
cet-12751	4	18	time	time	NOUN
cet-12751	4	19	-	-	PUNCT
cet-12751	4	20	consuming	consume	VERB
cet-12751	4	21	and	and	CCONJ
cet-12751	4	22	expensive	expensive	ADJ
cet-12751	4	23	.	.	PUNCT
cet-12751	5	1	this	this	DET
cet-12751	5	2	paper	paper	NOUN
cet-12751	5	3	proposes	propose	VERB
cet-12751	5	4	a	a	DET
cet-12751	5	5	hybrid	hybrid	ADJ
cet-12751	5	6	intelligent	intelligent	ADJ
cet-12751	5	7	method	method	NOUN
cet-12751	5	8	for	for	ADP
cet-12751	5	9	predicting	predict	VERB
cet-12751	5	10	ron	ron	PROPN
cet-12751	5	11	and	and	CCONJ
cet-12751	5	12	optimising	optimise	VERB
cet-12751	5	13	operating	operate	VERB
cet-12751	5	14	parameters	parameter	NOUN
cet-12751	5	15	to	to	PART
cet-12751	5	16	reduce	reduce	VERB
cet-12751	5	17	ron	ron	PROPN
cet-12751	5	18	loss	loss	NOUN
cet-12751	5	19	,	,	PUNCT
cet-12751	5	20	aiming	aim	VERB
cet-12751	5	21	to	to	PART
cet-12751	5	22	improve	improve	VERB
cet-12751	5	23	combustion	combustion	NOUN
cet-12751	5	24	performance	performance	NOUN
cet-12751	5	25	and	and	CCONJ
cet-12751	5	26	reduce	reduce	VERB
cet-12751	5	27	pollutant	pollutant	ADJ
cet-12751	5	28	emissions	emission	NOUN
cet-12751	5	29	.	.	PUNCT
cet-12751	6	1	considering	consider	VERB
cet-12751	6	2	that	that	SCONJ
cet-12751	6	3	the	the	DET
cet-12751	6	4	feature	feature	NOUN
cet-12751	6	5	engineering	engineering	NOUN
cet-12751	6	6	and	and	CCONJ
cet-12751	6	7	model	model	NOUN
cet-12751	6	8	optimision	optimision	NOUN
cet-12751	6	9	are	be	AUX
cet-12751	6	10	time	time	NOUN
cet-12751	6	11	-	-	PUNCT
cet-12751	6	12	consuming	consume	VERB
cet-12751	6	13	,	,	PUNCT
cet-12751	6	14	the	the	DET
cet-12751	6	15	ron	ron	PROPN
cet-12751	6	16	prediction	prediction	NOUN
cet-12751	6	17	model	model	NOUN
cet-12751	6	18	is	be	AUX
cet-12751	6	19	generated	generate	VERB
cet-12751	6	20	and	and	CCONJ
cet-12751	6	21	optimised	optimise	VERB
cet-12751	6	22	automatically	automatically	ADV
cet-12751	6	23	via	via	ADP
cet-12751	6	24	automatic	automatic	ADJ
cet-12751	6	25	machine	machine	NOUN
cet-12751	6	26	learning	learning	NOUN
cet-12751	6	27	technique	technique	NOUN
cet-12751	6	28	.	.	PUNCT
cet-12751	7	1	to	to	PART
cet-12751	7	2	reduce	reduce	VERB
cet-12751	7	3	ron	ron	PROPN
cet-12751	7	4	loss	loss	NOUN
cet-12751	7	5	,	,	PUNCT
cet-12751	7	6	the	the	DET
cet-12751	7	7	particle	particle	NOUN
cet-12751	7	8	swarm	swarm	NOUN
cet-12751	7	9	optimisation	optimisation	NOUN
cet-12751	7	10	algorithm	algorithm	NOUN
cet-12751	7	11	is	be	AUX
cet-12751	7	12	applied	apply	VERB
cet-12751	7	13	to	to	PART
cet-12751	7	14	optimise	optimise	VERB
cet-12751	7	15	the	the	DET
cet-12751	7	16	operation	operation	NOUN
cet-12751	7	17	parameters	parameter	NOUN
cet-12751	7	18	based	base	VERB
cet-12751	7	19	on	on	ADP
cet-12751	7	20	predicted	predicted	PROPN
cet-12751	7	21	ron	ron	PROPN
cet-12751	7	22	.	.	PROPN
cet-12751	7	23	subsequently	subsequently	ADV
cet-12751	7	24	,	,	PUNCT
cet-12751	7	25	a	a	DET
cet-12751	7	26	real	real	ADJ
cet-12751	7	27	-	-	PUNCT
cet-12751	7	28	world	world	NOUN
cet-12751	7	29	industrial	industrial	ADJ
cet-12751	7	30	dataset	dataset	NOUN
cet-12751	7	31	is	be	AUX
cet-12751	7	32	taken	take	VERB
cet-12751	7	33	as	as	ADP
cet-12751	7	34	an	an	DET
cet-12751	7	35	example	example	NOUN
cet-12751	7	36	to	to	PART
cet-12751	7	37	test	test	VERB
cet-12751	7	38	the	the	DET
cet-12751	7	39	accuracy	accuracy	NOUN
cet-12751	7	40	and	and	CCONJ
cet-12751	7	41	effectiveness	effectiveness	NOUN
cet-12751	7	42	of	of	ADP
cet-12751	7	43	the	the	DET
cet-12751	7	44	proposed	propose	VERB
cet-12751	7	45	model	model	NOUN
cet-12751	7	46	.	.	PUNCT
cet-12751	8	1	the	the	DET
cet-12751	8	2	results	result	NOUN
cet-12751	8	3	suggest	suggest	VERB
cet-12751	8	4	that	that	SCONJ
cet-12751	8	5	the	the	DET
cet-12751	8	6	proposed	propose	VERB
cet-12751	8	7	model	model	NOUN
cet-12751	8	8	is	be	AUX
cet-12751	8	9	more	more	ADV
cet-12751	8	10	accurate	accurate	ADJ
cet-12751	8	11	than	than	ADP
cet-12751	8	12	other	other	ADJ
cet-12751	8	13	advanced	advanced	ADJ
cet-12751	8	14	models	model	NOUN
cet-12751	8	15	,	,	PUNCT
cet-12751	8	16	such	such	ADJ
cet-12751	8	17	as	as	ADP
cet-12751	8	18	support	support	NOUN
cet-12751	8	19	vector	vector	NOUN
cet-12751	8	20	machine	machine	NOUN
cet-12751	8	21	(	(	PUNCT
cet-12751	8	22	svm	svm	PROPN
cet-12751	8	23	)	)	PUNCT
cet-12751	8	24	and	and	CCONJ
cet-12751	8	25	decision	decision	NOUN
cet-12751	8	26	tree	tree	NOUN
cet-12751	8	27	(	(	PUNCT
cet-12751	8	28	dt	dt	PROPN
cet-12751	8	29	)	)	PUNCT
cet-12751	8	30	,	,	PUNCT
cet-12751	8	31	with	with	ADP
cet-12751	8	32	mean	mean	ADJ
cet-12751	8	33	absolute	absolute	ADJ
cet-12751	8	34	error	error	NOUN
cet-12751	8	35	and	and	CCONJ
cet-12751	8	36	root	root	NOUN
cet-12751	8	37	mean	mean	VERB
cet-12751	8	38	squared	square	VERB
cet-12751	8	39	error	error	NOUN
cet-12751	8	40	being	be	AUX
cet-12751	8	41	0.162	0.162	NUM
cet-12751	8	42	and	and	CCONJ
cet-12751	8	43	0.225	0.225	NUM
cet-12751	8	44	,	,	PUNCT
cet-12751	8	45	46	46	NUM
cet-12751	8	46	%	%	NOUN
cet-12751	8	47	and	and	CCONJ
cet-12751	8	48	44	44	NUM
cet-12751	8	49	%	%	NOUN
cet-12751	8	50	reduction	reduction	NOUN
cet-12751	8	51	of	of	ADP
cet-12751	8	52	the	the	DET
cet-12751	8	53	svm	svm	NOUN
cet-12751	8	54	and	and	CCONJ
cet-12751	8	55	dt	dt	PROPN
cet-12751	8	56	.	.	PUNCT
cet-12751	9	1	the	the	DET
cet-12751	9	2	experiment	experiment	NOUN
cet-12751	9	3	also	also	ADV
cet-12751	9	4	shows	show	VERB
cet-12751	9	5	that	that	SCONJ
cet-12751	9	6	the	the	DET
cet-12751	9	7	ron	ron	PROPN
cet-12751	9	8	loss	loss	NOUN
cet-12751	9	9	of	of	ADP
cet-12751	9	10	data	datum	NOUN
cet-12751	9	11	samples	sample	NOUN
cet-12751	9	12	is	be	AUX
cet-12751	9	13	reduced	reduce	VERB
cet-12751	9	14	by	by	ADP
cet-12751	9	15	more	more	ADJ
cet-12751	9	16	than	than	ADP
cet-12751	9	17	40	40	NUM
cet-12751	9	18	%	%	NOUN
cet-12751	9	19	after	after	ADP
cet-12751	9	20	optimisation	optimisation	NOUN
cet-12751	9	21	.	.	PUNCT
cet-12751	10	1	1	1	X
cet-12751	10	2	.	.	X
cet-12751	10	3	introduction	introduction	NOUN
cet-12751	10	4	1.1	1.1	NUM
cet-12751	10	5	background	background	NOUN
cet-12751	10	6	as	as	ADP
cet-12751	10	7	one	one	NUM
cet-12751	10	8	of	of	ADP
cet-12751	10	9	the	the	DET
cet-12751	10	10	most	most	ADV
cet-12751	10	11	widely	widely	ADV
cet-12751	10	12	utilised	utilise	VERB
cet-12751	10	13	petroleum	petroleum	NOUN
cet-12751	10	14	products	product	NOUN
cet-12751	10	15	,	,	PUNCT
cet-12751	10	16	gasoline	gasoline	NOUN
cet-12751	10	17	provides	provide	VERB
cet-12751	10	18	the	the	DET
cet-12751	10	19	fuel	fuel	NOUN
cet-12751	10	20	supply	supply	NOUN
cet-12751	10	21	for	for	ADP
cet-12751	10	22	small	small	ADJ
cet-12751	10	23	vehicles	vehicle	NOUN
cet-12751	10	24	(	(	PUNCT
cet-12751	10	25	dabbagh	dabbagh	X
cet-12751	10	26	et	et	PROPN
cet-12751	10	27	al	al	PROPN
cet-12751	10	28	.	.	PROPN
cet-12751	10	29	,	,	PUNCT
cet-12751	10	30	2013	2013	NUM
cet-12751	10	31	)	)	PUNCT
cet-12751	10	32	.	.	PUNCT
cet-12751	11	1	with	with	ADP
cet-12751	11	2	the	the	DET
cet-12751	11	3	rapid	rapid	ADJ
cet-12751	11	4	development	development	NOUN
cet-12751	11	5	of	of	ADP
cet-12751	11	6	society	society	NOUN
cet-12751	11	7	and	and	CCONJ
cet-12751	11	8	economic	economic	ADJ
cet-12751	11	9	,	,	PUNCT
cet-12751	11	10	the	the	DET
cet-12751	11	11	gasoline	gasoline	NOUN
cet-12751	11	12	demand	demand	NOUN
cet-12751	11	13	increases	increase	VERB
cet-12751	11	14	continuously	continuously	ADV
cet-12751	11	15	in	in	ADP
cet-12751	11	16	recent	recent	ADJ
cet-12751	11	17	years	year	NOUN
cet-12751	11	18	(	(	PUNCT
cet-12751	11	19	demirbas	demirbas	NOUN
cet-12751	11	20	,	,	PUNCT
cet-12751	11	21	2007	2007	NUM
cet-12751	11	22	)	)	PUNCT
cet-12751	11	23	.	.	PUNCT
cet-12751	12	1	the	the	DET
cet-12751	12	2	increase	increase	NOUN
cet-12751	12	3	in	in	ADP
cet-12751	12	4	gasoline	gasoline	NOUN
cet-12751	12	5	consumption	consumption	NOUN
cet-12751	12	6	has	have	AUX
cet-12751	12	7	also	also	ADV
cet-12751	12	8	brought	bring	VERB
cet-12751	12	9	serious	serious	ADJ
cet-12751	12	10	environmental	environmental	ADJ
cet-12751	12	11	problems	problem	NOUN
cet-12751	12	12	,	,	PUNCT
cet-12751	12	13	caused	cause	VERB
cet-12751	12	14	by	by	ADP
cet-12751	12	15	the	the	DET
cet-12751	12	16	exhaust	exhaust	NOUN
cet-12751	12	17	emissions	emission	NOUN
cet-12751	12	18	from	from	ADP
cet-12751	12	19	gasoline	gasoline	NOUN
cet-12751	12	20	combustion	combustion	NOUN
cet-12751	12	21	(	(	PUNCT
cet-12751	12	22	cui	cui	NOUN
cet-12751	12	23	et	et	PROPN
cet-12751	12	24	al	al	PROPN
cet-12751	12	25	.	.	PROPN
cet-12751	12	26	,	,	PUNCT
cet-12751	12	27	2021	2021	NUM
cet-12751	12	28	)	)	PUNCT
cet-12751	12	29	.	.	PUNCT
cet-12751	13	1	stringent	stringent	ADJ
cet-12751	13	2	gasoline	gasoline	NOUN
cet-12751	13	3	quality	quality	NOUN
cet-12751	13	4	standards	standard	NOUN
cet-12751	13	5	have	have	AUX
cet-12751	13	6	been	be	AUX
cet-12751	13	7	increasingly	increasingly	ADV
cet-12751	13	8	formulated	formulate	VERB
cet-12751	13	9	by	by	ADP
cet-12751	13	10	many	many	ADJ
cet-12751	13	11	countries	country	NOUN
cet-12751	13	12	(	(	PUNCT
cet-12751	13	13	pan	pan	NOUN
cet-12751	13	14	et	et	PROPN
cet-12751	13	15	al	al	PROPN
cet-12751	13	16	.	.	PROPN
cet-12751	13	17	,	,	PUNCT
cet-12751	13	18	2018	2018	NUM
cet-12751	13	19	)	)	PUNCT
cet-12751	13	20	.	.	PUNCT
cet-12751	14	1	many	many	ADJ
cet-12751	14	2	countries	country	NOUN
cet-12751	14	3	supply	supply	VERB
cet-12751	14	4	domestic	domestic	ADJ
cet-12751	14	5	crude	crude	ADJ
cet-12751	14	6	oil	oil	NOUN
cet-12751	14	7	dependent	dependent	ADJ
cet-12751	14	8	on	on	ADP
cet-12751	14	9	imports	import	NOUN
cet-12751	14	10	,	,	PUNCT
cet-12751	14	11	particularly	particularly	ADV
cet-12751	14	12	china	china	PROPN
cet-12751	14	13	.	.	PUNCT
cet-12751	15	1	in	in	ADP
cet-12751	15	2	china	china	PROPN
cet-12751	15	3	,	,	PUNCT
cet-12751	15	4	there	there	PRON
cet-12751	15	5	are	be	VERB
cet-12751	15	6	about	about	ADV
cet-12751	15	7	40	40	NUM
cet-12751	15	8	%	%	NOUN
cet-12751	15	9	-60	-60	SYM
cet-12751	16	1	%	%	NOUN
cet-12751	16	2	of	of	ADP
cet-12751	16	3	imported	import	VERB
cet-12751	16	4	crude	crude	ADJ
cet-12751	16	5	oil	oil	NOUN
cet-12751	16	6	is	be	AUX
cet-12751	16	7	heavy	heavy	ADJ
cet-12751	16	8	oil	oil	NOUN
cet-12751	16	9	,	,	PUNCT
cet-12751	16	10	which	which	PRON
cet-12751	16	11	contains	contain	VERB
cet-12751	16	12	sulphur	sulphur	NOUN
cet-12751	16	13	and	and	CCONJ
cet-12751	16	14	olefins	olefin	NOUN
cet-12751	16	15	and	and	CCONJ
cet-12751	16	16	is	be	AUX
cet-12751	16	17	hard	hard	ADJ
cet-12751	16	18	to	to	PART
cet-12751	16	19	employ	employ	VERB
cet-12751	16	20	directly	directly	ADV
cet-12751	16	21	.	.	PUNCT
cet-12751	17	1	for	for	ADP
cet-12751	17	2	this	this	DET
cet-12751	17	3	reason	reason	NOUN
cet-12751	17	4	,	,	PUNCT
cet-12751	17	5	china	china	PROPN
cet-12751	17	6	has	have	AUX
cet-12751	17	7	rapidly	rapidly	ADV
cet-12751	17	8	developed	develop	VERB
cet-12751	17	9	lightweight	lightweight	ADJ
cet-12751	17	10	technology	technology	NOUN
cet-12751	17	11	to	to	PART
cet-12751	17	12	convert	convert	VERB
cet-12751	17	13	heavy	heavy	ADJ
cet-12751	17	14	oil	oil	NOUN
cet-12751	17	15	into	into	ADP
cet-12751	17	16	gasoline	gasoline	NOUN
cet-12751	17	17	,	,	PUNCT
cet-12751	17	18	diesel	diesel	NOUN
cet-12751	17	19	,	,	PUNCT
cet-12751	17	20	and	and	CCONJ
cet-12751	17	21	light	light	NOUN
cet-12751	17	22	olefins	olefin	NOUN
cet-12751	17	23	.	.	PUNCT
cet-12751	18	1	the	the	DET
cet-12751	18	2	research	research	NOUN
cet-12751	18	3	octane	octane	NOUN
cet-12751	18	4	number	number	NOUN
cet-12751	18	5	(	(	PUNCT
cet-12751	18	6	ron	ron	PROPN
cet-12751	18	7	)	)	PUNCT
cet-12751	18	8	is	be	AUX
cet-12751	18	9	the	the	DET
cet-12751	18	10	most	most	ADV
cet-12751	18	11	significant	significant	ADJ
cet-12751	18	12	indicator	indicator	NOUN
cet-12751	18	13	which	which	PRON
cet-12751	18	14	reflects	reflect	VERB
cet-12751	18	15	the	the	DET
cet-12751	18	16	combustion	combustion	NOUN
cet-12751	18	17	performance	performance	NOUN
cet-12751	18	18	of	of	ADP
cet-12751	18	19	gasoline	gasoline	NOUN
cet-12751	18	20	.	.	PUNCT
cet-12751	19	1	each	each	DET
cet-12751	19	2	unit	unit	NOUN
cet-12751	19	3	reduction	reduction	NOUN
cet-12751	19	4	of	of	ADP
cet-12751	19	5	ron	ron	PROPN
cet-12751	19	6	results	result	NOUN
cet-12751	19	7	in	in	ADP
cet-12751	19	8	an	an	DET
cet-12751	19	9	economic	economic	ADJ
cet-12751	19	10	decrease	decrease	NOUN
cet-12751	19	11	of	of	ADP
cet-12751	19	12	22	22	NUM
cet-12751	19	13	$	$	SYM
cet-12751	19	14	/t	/t	NOUN
cet-12751	19	15	.	.	PUNCT
cet-12751	20	1	in	in	ADP
cet-12751	20	2	china	china	PROPN
cet-12751	20	3	,	,	PUNCT
cet-12751	20	4	the	the	DET
cet-12751	20	5	catalytic	catalytic	ADJ
cet-12751	20	6	cracking	cracking	NOUN
cet-12751	20	7	has	have	AUX
cet-12751	20	8	produced	produce	VERB
cet-12751	20	9	more	more	ADJ
cet-12751	20	10	than	than	ADP
cet-12751	20	11	70	70	NUM
cet-12751	20	12	%	%	NOUN
cet-12751	20	13	of	of	ADP
cet-12751	20	14	gasoline	gasoline	NOUN
cet-12751	20	15	and	and	CCONJ
cet-12751	20	16	brings	bring	VERB
cet-12751	20	17	more	more	ADJ
cet-12751	20	18	than	than	ADP
cet-12751	20	19	95	95	NUM
cet-12751	20	20	%	%	NOUN
cet-12751	20	21	of	of	ADP
cet-12751	20	22	sulphur	sulphur	NOUN
cet-12751	20	23	and	and	CCONJ
cet-12751	20	24	olefins	olefin	NOUN
cet-12751	20	25	in	in	ADP
cet-12751	20	26	refined	refined	ADJ
cet-12751	20	27	gasoline	gasoline	NOUN
cet-12751	20	28	.	.	PUNCT
cet-12751	21	1	as	as	ADP
cet-12751	21	2	a	a	DET
cet-12751	21	3	consequence	consequence	NOUN
cet-12751	21	4	,	,	PUNCT
cet-12751	21	5	it	it	PRON
cet-12751	21	6	is	be	AUX
cet-12751	21	7	necessary	necessary	ADJ
cet-12751	21	8	to	to	PART
cet-12751	21	9	refine	refine	VERB
cet-12751	21	10	the	the	DET
cet-12751	21	11	catalytic	catalytic	ADJ
cet-12751	21	12	cracking	cracking	NOUN
cet-12751	21	13	gasoline	gasoline	NOUN
cet-12751	21	14	to	to	PART
cet-12751	21	15	reduce	reduce	VERB
cet-12751	21	16	the	the	DET
cet-12751	21	17	content	content	NOUN
cet-12751	21	18	of	of	ADP
cet-12751	21	19	sulphur	sulphur	NOUN
cet-12751	21	20	and	and	CCONJ
cet-12751	21	21	olefins	olefin	NOUN
cet-12751	21	22	in	in	ADP
cet-12751	21	23	gasoline	gasoline	NOUN
cet-12751	21	24	.	.	PUNCT
cet-12751	22	1	however	however	ADV
cet-12751	22	2	,	,	PUNCT
cet-12751	22	3	the	the	DET
cet-12751	22	4	ron	ron	PROPN
cet-12751	22	5	is	be	AUX
cet-12751	22	6	decreased	decrease	VERB
cet-12751	22	7	while	while	SCONJ
cet-12751	22	8	reducing	reduce	VERB
cet-12751	22	9	the	the	DET
cet-12751	22	10	sulphur	sulphur	NOUN
cet-12751	22	11	and	and	CCONJ
cet-12751	22	12	olefins	olefin	NOUN
cet-12751	22	13	in	in	ADP
cet-12751	22	14	the	the	DET
cet-12751	22	15	process	process	NOUN
cet-12751	22	16	of	of	ADP
cet-12751	22	17	catalytic	catalytic	ADJ
cet-12751	22	18	cracking	cracking	NOUN
cet-12751	22	19	.	.	PUNCT
cet-12751	23	1	to	to	PART
cet-12751	23	2	improve	improve	VERB
cet-12751	23	3	the	the	DET
cet-12751	23	4	quality	quality	NOUN
cet-12751	23	5	of	of	ADP
cet-12751	23	6	refined	refined	ADJ
cet-12751	23	7	gasoline	gasoline	NOUN
cet-12751	23	8	,	,	PUNCT
cet-12751	23	9	catalytic	catalytic	ADJ
cet-12751	23	10	gasoline	gasoline	NOUN
cet-12751	23	11	adsorption	adsorption	NOUN
cet-12751	23	12	desulphurisation	desulphurisation	NOUN
cet-12751	23	13	technology	technology	NOUN
cet-12751	23	14	(	(	PUNCT
cet-12751	23	15	s	s	NOUN
cet-12751	23	16	-	-	ADV
cet-12751	23	17	zorb	zorb	X
cet-12751	23	18	)	)	PUNCT
cet-12751	23	19	is	be	AUX
cet-12751	23	20	obtained	obtain	VERB
cet-12751	23	21	.	.	PUNCT
cet-12751	24	1	nevertheless	nevertheless	ADV
cet-12751	24	2	,	,	PUNCT
cet-12751	24	3	the	the	DET
cet-12751	24	4	ron	ron	PROPN
cet-12751	24	5	of	of	ADP
cet-12751	24	6	refined	refined	ADJ
cet-12751	24	7	gasoline	gasoline	NOUN
cet-12751	24	8	is	be	AUX
cet-12751	24	9	difficult	difficult	ADJ
cet-12751	24	10	to	to	PART
cet-12751	24	11	require	require	VERB
cet-12751	24	12	due	due	ADP
cet-12751	24	13	to	to	ADP
cet-12751	24	14	the	the	DET
cet-12751	24	15	complexity	complexity	NOUN
cet-12751	24	16	of	of	ADP
cet-12751	24	17	operation	operation	NOUN
cet-12751	24	18	conditions	condition	NOUN
cet-12751	24	19	and	and	CCONJ
cet-12751	24	20	measurement	measurement	NOUN
cet-12751	24	21	equipment	equipment	NOUN
cet-12751	24	22	.	.	PUNCT
cet-12751	25	1	given	give	VERB
cet-12751	25	2	this	this	DET
cet-12751	25	3	circumstance	circumstance	NOUN
cet-12751	25	4	,	,	PUNCT
cet-12751	25	5	it	it	PRON
cet-12751	25	6	is	be	AUX
cet-12751	25	7	worthwhile	worthwhile	ADJ
cet-12751	25	8	to	to	PART
cet-12751	25	9	develop	develop	VERB
cet-12751	25	10	an	an	DET
cet-12751	25	11	accurate	accurate	ADJ
cet-12751	25	12	model	model	NOUN
cet-12751	25	13	1165	1165	NUM
cet-12751	25	14	for	for	ADP
cet-12751	25	15	the	the	DET
cet-12751	25	16	gasoline	gasoline	NOUN
cet-12751	25	17	refining	refining	NOUN
cet-12751	25	18	process	process	NOUN
cet-12751	25	19	to	to	PART
cet-12751	25	20	predict	predict	VERB
cet-12751	25	21	the	the	DET
cet-12751	25	22	ron	ron	PROPN
cet-12751	25	23	of	of	ADP
cet-12751	25	24	refined	refined	ADJ
cet-12751	25	25	products	product	NOUN
cet-12751	25	26	.	.	PUNCT
cet-12751	26	1	the	the	DET
cet-12751	26	2	refining	refining	NOUN
cet-12751	26	3	process	process	NOUN
cet-12751	26	4	is	be	AUX
cet-12751	26	5	complex	complex	ADJ
cet-12751	26	6	and	and	CCONJ
cet-12751	26	7	measurement	measurement	NOUN
cet-12751	26	8	is	be	AUX
cet-12751	26	9	diversified	diversify	VERB
cet-12751	26	10	,	,	PUNCT
cet-12751	26	11	which	which	PRON
cet-12751	26	12	leads	lead	VERB
cet-12751	26	13	to	to	ADP
cet-12751	26	14	the	the	DET
cet-12751	26	15	high	high	ADJ
cet-12751	26	16	nonlinearity	nonlinearity	NOUN
cet-12751	26	17	and	and	CCONJ
cet-12751	26	18	strong	strong	ADJ
cet-12751	26	19	coupling	coupling	NOUN
cet-12751	26	20	of	of	ADP
cet-12751	26	21	involved	involved	ADJ
cet-12751	26	22	control	control	NOUN
cet-12751	26	23	variables	variable	NOUN
cet-12751	26	24	.	.	PUNCT
cet-12751	27	1	the	the	DET
cet-12751	27	2	historical	historical	ADJ
cet-12751	27	3	operating	operate	VERB
cet-12751	27	4	data	datum	NOUN
cet-12751	27	5	of	of	ADP
cet-12751	27	6	the	the	DET
cet-12751	27	7	industrial	industrial	ADJ
cet-12751	27	8	refining	refining	NOUN
cet-12751	27	9	process	process	NOUN
cet-12751	27	10	is	be	AUX
cet-12751	27	11	under	under	ADV
cet-12751	27	12	-	-	PUNCT
cet-12751	27	13	used	use	VERB
cet-12751	27	14	.	.	PUNCT
cet-12751	28	1	in	in	ADP
cet-12751	28	2	summary	summary	NOUN
cet-12751	28	3	,	,	PUNCT
cet-12751	28	4	the	the	DET
cet-12751	28	5	difficulty	difficulty	NOUN
cet-12751	28	6	to	to	PART
cet-12751	28	7	model	model	VERB
cet-12751	28	8	the	the	DET
cet-12751	28	9	refining	refining	NOUN
cet-12751	28	10	process	process	NOUN
cet-12751	28	11	of	of	ADP
cet-12751	28	12	gasoline	gasoline	NOUN
cet-12751	28	13	can	can	AUX
cet-12751	28	14	be	be	AUX
cet-12751	28	15	concluded	conclude	VERB
cet-12751	28	16	as	as	SCONJ
cet-12751	28	17	follows	follow	VERB
cet-12751	28	18	:	:	PUNCT
cet-12751	28	19	(	(	PUNCT
cet-12751	28	20	1	1	X
cet-12751	28	21	)	)	PUNCT
cet-12751	28	22	the	the	DET
cet-12751	28	23	refining	refining	NOUN
cet-12751	28	24	equipment	equipment	NOUN
cet-12751	28	25	contains	contain	VERB
cet-12751	28	26	many	many	ADJ
cet-12751	28	27	important	important	ADJ
cet-12751	28	28	control	control	NOUN
cet-12751	28	29	variables	variable	NOUN
cet-12751	28	30	,	,	PUNCT
cet-12751	28	31	the	the	DET
cet-12751	28	32	influence	influence	NOUN
cet-12751	28	33	of	of	ADP
cet-12751	28	34	control	control	NOUN
cet-12751	28	35	variables	variable	NOUN
cet-12751	28	36	on	on	ADP
cet-12751	28	37	the	the	DET
cet-12751	28	38	ron	ron	PROPN
cet-12751	28	39	of	of	ADP
cet-12751	28	40	refined	refined	ADJ
cet-12751	28	41	products	product	NOUN
cet-12751	28	42	is	be	AUX
cet-12751	28	43	hard	hard	ADJ
cet-12751	28	44	to	to	PART
cet-12751	28	45	quantify	quantify	VERB
cet-12751	28	46	.	.	PUNCT
cet-12751	29	1	(	(	PUNCT
cet-12751	29	2	2	2	X
cet-12751	29	3	)	)	PUNCT
cet-12751	29	4	it	it	PRON
cet-12751	29	5	is	be	AUX
cet-12751	29	6	difficult	difficult	ADJ
cet-12751	29	7	to	to	PART
cet-12751	29	8	establish	establish	VERB
cet-12751	29	9	an	an	DET
cet-12751	29	10	accurate	accurate	ADJ
cet-12751	29	11	model	model	NOUN
cet-12751	29	12	to	to	PART
cet-12751	29	13	illustrate	illustrate	VERB
cet-12751	29	14	the	the	DET
cet-12751	29	15	refining	refining	NOUN
cet-12751	29	16	process	process	NOUN
cet-12751	29	17	due	due	ADP
cet-12751	29	18	to	to	ADP
cet-12751	29	19	the	the	DET
cet-12751	29	20	high	high	ADJ
cet-12751	29	21	nonlinearity	nonlinearity	NOUN
cet-12751	29	22	and	and	CCONJ
cet-12751	29	23	strong	strong	ADJ
cet-12751	29	24	coupling	coupling	NOUN
cet-12751	29	25	relationship	relationship	NOUN
cet-12751	29	26	of	of	ADP
cet-12751	29	27	control	control	NOUN
cet-12751	29	28	variables	variable	NOUN
cet-12751	29	29	.	.	PUNCT
cet-12751	30	1	1.2	1.2	NUM
cet-12751	30	2	literature	literature	NOUN
cet-12751	30	3	review	review	NOUN
cet-12751	30	4	in	in	ADP
cet-12751	30	5	the	the	DET
cet-12751	30	6	past	past	ADJ
cet-12751	30	7	decades	decade	NOUN
cet-12751	30	8	,	,	PUNCT
cet-12751	30	9	a	a	DET
cet-12751	30	10	lot	lot	NOUN
cet-12751	30	11	of	of	ADP
cet-12751	30	12	research	research	NOUN
cet-12751	30	13	has	have	AUX
cet-12751	30	14	been	be	AUX
cet-12751	30	15	conducted	conduct	VERB
cet-12751	30	16	to	to	PART
cet-12751	30	17	model	model	VERB
cet-12751	30	18	the	the	DET
cet-12751	30	19	industrial	industrial	ADJ
cet-12751	30	20	process	process	NOUN
cet-12751	30	21	of	of	ADP
cet-12751	30	22	gasoline	gasoline	NOUN
cet-12751	30	23	refining	refining	NOUN
cet-12751	30	24	.	.	PUNCT
cet-12751	31	1	among	among	ADP
cet-12751	31	2	these	these	PRON
cet-12751	31	3	,	,	PUNCT
cet-12751	31	4	the	the	DET
cet-12751	31	5	infrared	infrared	ADJ
cet-12751	31	6	spectroscopy	spectroscopy	NOUN
cet-12751	31	7	(	(	PUNCT
cet-12751	31	8	ir	ir	NOUN
cet-12751	31	9	)	)	PUNCT
cet-12751	31	10	technique	technique	NOUN
cet-12751	31	11	,	,	PUNCT
cet-12751	31	12	which	which	PRON
cet-12751	31	13	has	have	AUX
cet-12751	31	14	become	become	VERB
cet-12751	31	15	the	the	DET
cet-12751	31	16	most	most	ADV
cet-12751	31	17	common	common	ADJ
cet-12751	31	18	technique	technique	NOUN
cet-12751	31	19	,	,	PUNCT
cet-12751	31	20	is	be	AUX
cet-12751	31	21	combined	combine	VERB
cet-12751	31	22	with	with	ADP
cet-12751	31	23	chemometric	chemometric	ADJ
cet-12751	31	24	algorithms	algorithm	NOUN
cet-12751	31	25	for	for	ADP
cet-12751	31	26	remote	remote	ADJ
cet-12751	31	27	monitoring	monitoring	NOUN
cet-12751	31	28	and	and	CCONJ
cet-12751	31	29	acquiring	acquire	VERB
cet-12751	31	30	high	high	ADJ
cet-12751	31	31	information	information	NOUN
cet-12751	31	32	content	content	NOUN
cet-12751	31	33	of	of	ADP
cet-12751	31	34	spectra	spectra	PROPN
cet-12751	31	35	.	.	PUNCT
cet-12751	32	1	kelly	kelly	PROPN
cet-12751	32	2	et	et	PROPN
cet-12751	32	3	al	al	PROPN
cet-12751	32	4	.	.	PROPN
cet-12751	33	1	(	(	PUNCT
cet-12751	33	2	1989	1989	NUM
cet-12751	33	3	)	)	PUNCT
cet-12751	33	4	applied	apply	VERB
cet-12751	33	5	multiple	multiple	ADJ
cet-12751	33	6	linear	linear	ADJ
cet-12751	33	7	regression	regression	NOUN
cet-12751	33	8	(	(	PUNCT
cet-12751	33	9	mlr	mlr	NOUN
cet-12751	33	10	)	)	PUNCT
cet-12751	33	11	and	and	CCONJ
cet-12751	33	12	partial	partial	ADJ
cet-12751	33	13	least	least	ADJ
cet-12751	33	14	squares	square	NOUN
cet-12751	33	15	(	(	PUNCT
cet-12751	33	16	pls	pls	INTJ
cet-12751	33	17	)	)	PUNCT
cet-12751	33	18	to	to	PART
cet-12751	33	19	demonstrate	demonstrate	VERB
cet-12751	33	20	the	the	DET
cet-12751	33	21	possibility	possibility	NOUN
cet-12751	33	22	of	of	ADP
cet-12751	33	23	predicting	predict	VERB
cet-12751	33	24	ron	ron	PROPN
cet-12751	33	25	from	from	ADP
cet-12751	33	26	the	the	DET
cet-12751	33	27	ir	ir	PROPN
cet-12751	33	28	data	datum	NOUN
cet-12751	33	29	on	on	ADP
cet-12751	33	30	the	the	DET
cet-12751	33	31	660	660	NUM
cet-12751	33	32	-	-	SYM
cet-12751	33	33	1,215	1,215	NUM
cet-12751	33	34	nm	nm	ADJ
cet-12751	33	35	spectral	spectral	ADJ
cet-12751	33	36	range	range	NOUN
cet-12751	33	37	.	.	PUNCT
cet-12751	34	1	based	base	VERB
cet-12751	34	2	on	on	ADP
cet-12751	34	3	selected	select	VERB
cet-12751	34	4	wavenumbers	wavenumber	NOUN
cet-12751	34	5	from	from	ADP
cet-12751	34	6	the	the	DET
cet-12751	34	7	mid	mid	PROPN
cet-12751	34	8	-	-	PROPN
cet-12751	34	9	ir	ir	ADJ
cet-12751	34	10	spectrum	spectrum	NOUN
cet-12751	34	11	,	,	PUNCT
cet-12751	34	12	rashid	rashid	PROPN
cet-12751	34	13	et	et	PROPN
cet-12751	34	14	al	al	PROPN
cet-12751	34	15	.	.	PROPN
cet-12751	35	1	(	(	PUNCT
cet-12751	35	2	1989	1989	NUM
cet-12751	35	3	)	)	PUNCT
cet-12751	35	4	proposed	propose	VERB
cet-12751	35	5	a	a	DET
cet-12751	35	6	predicting	predict	VERB
cet-12751	35	7	model	model	NOUN
cet-12751	35	8	to	to	PART
cet-12751	35	9	determine	determine	VERB
cet-12751	35	10	clear	clear	PROPN
cet-12751	35	11	ron	ron	PROPN
cet-12751	35	12	,	,	PUNCT
cet-12751	35	13	the	the	DET
cet-12751	35	14	heat	heat	NOUN
cet-12751	35	15	of	of	ADP
cet-12751	35	16	formation	formation	NOUN
cet-12751	35	17	,	,	PUNCT
cet-12751	35	18	gravity	gravity	NOUN
cet-12751	35	19	,	,	PUNCT
cet-12751	35	20	and	and	CCONJ
cet-12751	35	21	mole	mole	NOUN
cet-12751	35	22	fraction	fraction	NOUN
cet-12751	35	23	.	.	PUNCT
cet-12751	36	1	parisi	parisi	PROPN
cet-12751	36	2	et	et	PROPN
cet-12751	36	3	al	al	PROPN
cet-12751	36	4	.	.	PROPN
cet-12751	37	1	(	(	PUNCT
cet-12751	37	2	1990	1990	NUM
cet-12751	37	3	)	)	PUNCT
cet-12751	37	4	employed	employ	VERB
cet-12751	37	5	near	near	ADP
cet-12751	37	6	-	-	PUNCT
cet-12751	37	7	ir	ir	NOUN
cet-12751	37	8	in	in	ADP
cet-12751	37	9	combination	combination	NOUN
cet-12751	37	10	with	with	ADP
cet-12751	37	11	multivariate	multivariate	NOUN
cet-12751	37	12	calibration	calibration	NOUN
cet-12751	37	13	to	to	PART
cet-12751	37	14	measure	measure	VERB
cet-12751	37	15	online	online	ADJ
cet-12751	37	16	gasoline	gasoline	NOUN
cet-12751	37	17	characteristics	characteristic	NOUN
cet-12751	37	18	,	,	PUNCT
cet-12751	37	19	such	such	ADJ
cet-12751	37	20	as	as	ADP
cet-12751	37	21	ron	ron	PROPN
cet-12751	37	22	,	,	PUNCT
cet-12751	37	23	cetane	cetane	NOUN
cet-12751	37	24	number	number	NOUN
cet-12751	37	25	,	,	PUNCT
cet-12751	37	26	paraffin	paraffin	NOUN
cet-12751	37	27	,	,	PUNCT
cet-12751	37	28	and	and	CCONJ
cet-12751	37	29	olefin	olefin	NOUN
cet-12751	37	30	.	.	PUNCT
cet-12751	38	1	though	though	SCONJ
cet-12751	38	2	the	the	DET
cet-12751	38	3	traditional	traditional	ADJ
cet-12751	38	4	model	model	NOUN
cet-12751	38	5	has	have	AUX
cet-12751	38	6	obtained	obtain	VERB
cet-12751	38	7	certain	certain	ADJ
cet-12751	38	8	results	result	NOUN
cet-12751	38	9	,	,	PUNCT
cet-12751	38	10	the	the	DET
cet-12751	38	11	prediction	prediction	NOUN
cet-12751	38	12	results	result	NOUN
cet-12751	38	13	show	show	VERB
cet-12751	38	14	less	less	ADV
cet-12751	38	15	satisfactory	satisfactory	ADJ
cet-12751	38	16	due	due	ADP
cet-12751	38	17	to	to	ADP
cet-12751	38	18	the	the	DET
cet-12751	38	19	high	high	ADJ
cet-12751	38	20	nonlinearity	nonlinearity	NOUN
cet-12751	38	21	and	and	CCONJ
cet-12751	38	22	strong	strong	ADJ
cet-12751	38	23	coupling	coupling	NOUN
cet-12751	38	24	relationship	relationship	NOUN
cet-12751	38	25	of	of	ADP
cet-12751	38	26	control	control	NOUN
cet-12751	38	27	variables	variable	NOUN
cet-12751	38	28	.	.	PUNCT
cet-12751	39	1	in	in	ADP
cet-12751	39	2	the	the	DET
cet-12751	39	3	context	context	NOUN
cet-12751	39	4	of	of	ADP
cet-12751	39	5	industrial	industrial	ADJ
cet-12751	39	6	4.0	4.0	NUM
cet-12751	39	7	and	and	CCONJ
cet-12751	39	8	big	big	ADJ
cet-12751	39	9	data	datum	NOUN
cet-12751	39	10	,	,	PUNCT
cet-12751	39	11	many	many	ADJ
cet-12751	39	12	researchers	researcher	NOUN
cet-12751	39	13	show	show	VERB
cet-12751	39	14	increasing	increase	VERB
cet-12751	39	15	interest	interest	NOUN
cet-12751	39	16	in	in	ADP
cet-12751	39	17	the	the	DET
cet-12751	39	18	huge	huge	ADJ
cet-12751	39	19	amount	amount	NOUN
cet-12751	39	20	of	of	ADP
cet-12751	39	21	industrial	industrial	ADJ
cet-12751	39	22	process	process	NOUN
cet-12751	39	23	data	datum	NOUN
cet-12751	39	24	(	(	PUNCT
cet-12751	39	25	dias	dias	PROPN
cet-12751	39	26	et	et	PROPN
cet-12751	39	27	al	al	PROPN
cet-12751	39	28	.	.	PROPN
cet-12751	39	29	,	,	PUNCT
cet-12751	39	30	2020	2020	NUM
cet-12751	39	31	)	)	PUNCT
cet-12751	39	32	.	.	PUNCT
cet-12751	40	1	the	the	DET
cet-12751	40	2	excellent	excellent	ADJ
cet-12751	40	3	nonlinear	nonlinear	ADJ
cet-12751	40	4	approximate	approximate	ADJ
cet-12751	40	5	function	function	NOUN
cet-12751	40	6	of	of	ADP
cet-12751	40	7	machine	machine	NOUN
cet-12751	40	8	learning	learning	NOUN
cet-12751	40	9	can	can	AUX
cet-12751	40	10	be	be	AUX
cet-12751	40	11	used	use	VERB
cet-12751	40	12	to	to	PART
cet-12751	40	13	model	model	VERB
cet-12751	40	14	complex	complex	ADJ
cet-12751	40	15	and	and	CCONJ
cet-12751	40	16	nonlinear	nonlinear	ADJ
cet-12751	40	17	chemical	chemical	NOUN
cet-12751	40	18	processes	process	NOUN
cet-12751	40	19	.	.	PUNCT
cet-12751	41	1	doicin	doicin	NOUN
cet-12751	41	2	and	and	CCONJ
cet-12751	41	3	onutu	onutu	NOUN
cet-12751	41	4	(	(	PUNCT
cet-12751	41	5	2014	2014	NUM
cet-12751	41	6	)	)	PUNCT
cet-12751	41	7	proposed	propose	VERB
cet-12751	41	8	a	a	DET
cet-12751	41	9	prediction	prediction	NOUN
cet-12751	41	10	method	method	NOUN
cet-12751	41	11	using	use	VERB
cet-12751	41	12	a	a	DET
cet-12751	41	13	neural	neural	ADJ
cet-12751	41	14	network	network	NOUN
cet-12751	41	15	to	to	PART
cet-12751	41	16	predict	predict	VERB
cet-12751	41	17	the	the	DET
cet-12751	41	18	octane	octane	NOUN
cet-12751	41	19	number	number	NOUN
cet-12751	41	20	of	of	ADP
cet-12751	41	21	petroleum	petroleum	NOUN
cet-12751	41	22	mixtures	mixture	NOUN
cet-12751	41	23	.	.	PUNCT
cet-12751	42	1	however	however	ADV
cet-12751	42	2	,	,	PUNCT
cet-12751	42	3	the	the	DET
cet-12751	42	4	influencing	influence	VERB
cet-12751	42	5	factors	factor	NOUN
cet-12751	42	6	were	be	AUX
cet-12751	42	7	not	not	PART
cet-12751	42	8	included	include	VERB
cet-12751	42	9	broadly	broadly	ADV
cet-12751	42	10	in	in	ADP
cet-12751	42	11	input	input	NOUN
cet-12751	42	12	properties	property	NOUN
cet-12751	42	13	.	.	PUNCT
cet-12751	43	1	based	base	VERB
cet-12751	43	2	on	on	ADP
cet-12751	43	3	the	the	DET
cet-12751	43	4	chemical	chemical	NOUN
cet-12751	43	5	features	feature	NOUN
cet-12751	43	6	acquired	acquire	VERB
cet-12751	43	7	from	from	ADP
cet-12751	43	8	ir	ir	PROPN
cet-12751	43	9	,	,	PUNCT
cet-12751	43	10	ibrahim	ibrahim	PROPN
cet-12751	43	11	and	and	CCONJ
cet-12751	43	12	farooq	farooq	PROPN
cet-12751	43	13	(	(	PUNCT
cet-12751	43	14	2019	2019	NUM
cet-12751	43	15	)	)	PUNCT
cet-12751	43	16	utilised	utilise	VERB
cet-12751	43	17	an	an	DET
cet-12751	43	18	artificial	artificial	ADJ
cet-12751	43	19	neural	neural	ADJ
cet-12751	43	20	network	network	NOUN
cet-12751	43	21	(	(	PUNCT
cet-12751	43	22	ann	ann	PROPN
cet-12751	43	23	)	)	PUNCT
cet-12751	43	24	and	and	CCONJ
cet-12751	43	25	principal	principal	ADJ
cet-12751	43	26	component	component	NOUN
cet-12751	43	27	analysis	analysis	NOUN
cet-12751	43	28	(	(	PUNCT
cet-12751	43	29	pca	pca	NOUN
cet-12751	43	30	)	)	PUNCT
cet-12751	43	31	to	to	PART
cet-12751	43	32	predict	predict	VERB
cet-12751	43	33	octane	octane	NOUN
cet-12751	43	34	number	number	NOUN
cet-12751	43	35	.	.	PUNCT
cet-12751	44	1	kubic	kubic	PROPN
cet-12751	44	2	et	et	PROPN
cet-12751	44	3	al	al	PROPN
cet-12751	44	4	.	.	PROPN
cet-12751	45	1	(	(	PUNCT
cet-12751	45	2	2017	2017	NUM
cet-12751	45	3	)	)	PUNCT
cet-12751	45	4	developed	develop	VERB
cet-12751	45	5	an	an	DET
cet-12751	45	6	ann	ann	PROPN
cet-12751	45	7	-	-	PUNCT
cet-12751	45	8	based	base	VERB
cet-12751	45	9	model	model	NOUN
cet-12751	45	10	on	on	ADP
cet-12751	45	11	special	special	ADJ
cet-12751	45	12	chemical	chemical	NOUN
cet-12751	45	13	composition	composition	NOUN
cet-12751	45	14	to	to	PART
cet-12751	45	15	predict	predict	VERB
cet-12751	45	16	the	the	DET
cet-12751	45	17	octane	octane	NOUN
cet-12751	45	18	number	number	NOUN
cet-12751	45	19	of	of	ADP
cet-12751	45	20	hydrocarbons	hydrocarbon	NOUN
cet-12751	45	21	and	and	CCONJ
cet-12751	45	22	oxygenated	oxygenate	VERB
cet-12751	45	23	.	.	PUNCT
cet-12751	46	1	though	though	SCONJ
cet-12751	46	2	the	the	DET
cet-12751	46	3	machine	machine	NOUN
cet-12751	46	4	learning	learning	NOUN
cet-12751	46	5	models	model	NOUN
cet-12751	46	6	can	can	AUX
cet-12751	46	7	better	well	ADV
cet-12751	46	8	demonstrate	demonstrate	VERB
cet-12751	46	9	the	the	DET
cet-12751	46	10	nonlinear	nonlinear	ADJ
cet-12751	46	11	relationship	relationship	NOUN
cet-12751	46	12	between	between	ADP
cet-12751	46	13	control	control	NOUN
cet-12751	46	14	variables	variable	NOUN
cet-12751	46	15	and	and	CCONJ
cet-12751	46	16	ron	ron	PROPN
cet-12751	46	17	,	,	PUNCT
cet-12751	46	18	feature	feature	NOUN
cet-12751	46	19	engineering	engineering	NOUN
cet-12751	46	20	is	be	AUX
cet-12751	46	21	time	time	NOUN
cet-12751	46	22	-	-	PUNCT
cet-12751	46	23	consuming	consume	VERB
cet-12751	46	24	and	and	CCONJ
cet-12751	46	25	few	few	ADJ
cet-12751	46	26	researchers	researcher	NOUN
cet-12751	46	27	had	have	AUX
cet-12751	46	28	provided	provide	VERB
cet-12751	46	29	the	the	DET
cet-12751	46	30	optimisation	optimisation	NOUN
cet-12751	46	31	plan	plan	NOUN
cet-12751	46	32	to	to	PART
cet-12751	46	33	increase	increase	VERB
cet-12751	46	34	the	the	DET
cet-12751	46	35	ron	ron	PROPN
cet-12751	46	36	of	of	ADP
cet-12751	46	37	refined	refined	ADJ
cet-12751	46	38	products	product	NOUN
cet-12751	46	39	.	.	PUNCT
cet-12751	47	1	despite	despite	SCONJ
cet-12751	47	2	the	the	DET
cet-12751	47	3	great	great	ADJ
cet-12751	47	4	progress	progress	NOUN
cet-12751	47	5	made	make	VERB
cet-12751	47	6	in	in	ADP
cet-12751	47	7	the	the	DET
cet-12751	47	8	above	above	ADV
cet-12751	47	9	-	-	PUNCT
cet-12751	47	10	mentioned	mention	VERB
cet-12751	47	11	research	research	NOUN
cet-12751	47	12	,	,	PUNCT
cet-12751	47	13	there	there	PRON
cet-12751	47	14	are	be	VERB
cet-12751	47	15	still	still	ADV
cet-12751	47	16	some	some	DET
cet-12751	47	17	limitations	limitation	NOUN
cet-12751	47	18	summarised	summarise	VERB
cet-12751	47	19	as	as	SCONJ
cet-12751	47	20	follows	follow	VERB
cet-12751	47	21	:	:	PUNCT
cet-12751	47	22	(	(	PUNCT
cet-12751	47	23	1	1	X
cet-12751	47	24	)	)	PUNCT
cet-12751	47	25	the	the	DET
cet-12751	47	26	feature	feature	NOUN
cet-12751	47	27	engineering	engineering	NOUN
cet-12751	47	28	is	be	AUX
cet-12751	47	29	time	time	NOUN
cet-12751	47	30	-	-	PUNCT
cet-12751	47	31	consuming	consume	VERB
cet-12751	47	32	due	due	ADJ
cet-12751	47	33	to	to	ADP
cet-12751	47	34	lots	lot	NOUN
cet-12751	47	35	of	of	ADP
cet-12751	47	36	operation	operation	NOUN
cet-12751	47	37	parameters	parameter	NOUN
cet-12751	47	38	in	in	ADP
cet-12751	47	39	the	the	DET
cet-12751	47	40	refined	refined	ADJ
cet-12751	47	41	process	process	NOUN
cet-12751	47	42	,	,	PUNCT
cet-12751	47	43	and	and	CCONJ
cet-12751	47	44	the	the	DET
cet-12751	47	45	process	process	NOUN
cet-12751	47	46	of	of	ADP
cet-12751	47	47	optimising	optimise	VERB
cet-12751	47	48	control	control	NOUN
cet-12751	47	49	variables	variable	NOUN
cet-12751	47	50	further	far	ADV
cet-12751	47	51	increases	increase	VERB
cet-12751	47	52	the	the	DET
cet-12751	47	53	complexity	complexity	NOUN
cet-12751	47	54	and	and	CCONJ
cet-12751	47	55	difficulty	difficulty	NOUN
cet-12751	47	56	of	of	ADP
cet-12751	47	57	modelling	modelling	NOUN
cet-12751	47	58	.	.	PUNCT
cet-12751	48	1	(	(	PUNCT
cet-12751	48	2	2	2	X
cet-12751	48	3	)	)	PUNCT
cet-12751	48	4	few	few	ADJ
cet-12751	48	5	researchers	researcher	NOUN
cet-12751	48	6	focused	focus	VERB
cet-12751	48	7	on	on	ADP
cet-12751	48	8	process	process	NOUN
cet-12751	48	9	optimisation	optimisation	NOUN
cet-12751	48	10	to	to	PART
cet-12751	48	11	increase	increase	VERB
cet-12751	48	12	the	the	DET
cet-12751	48	13	ron	ron	PROPN
cet-12751	48	14	of	of	ADP
cet-12751	48	15	refined	refined	ADJ
cet-12751	48	16	products	product	NOUN
cet-12751	48	17	based	base	VERB
cet-12751	48	18	on	on	ADP
cet-12751	48	19	prediction	prediction	NOUN
cet-12751	48	20	models	model	NOUN
cet-12751	48	21	and	and	CCONJ
cet-12751	48	22	intelligent	intelligent	ADJ
cet-12751	48	23	algorithms	algorithm	NOUN
cet-12751	48	24	.	.	PUNCT
cet-12751	49	1	to	to	PART
cet-12751	49	2	overcome	overcome	VERB
cet-12751	49	3	the	the	DET
cet-12751	49	4	drawback	drawback	NOUN
cet-12751	49	5	of	of	ADP
cet-12751	49	6	conventional	conventional	ADJ
cet-12751	49	7	chemical	chemical	NOUN
cet-12751	49	8	modelling	modelling	NOUN
cet-12751	49	9	of	of	ADP
cet-12751	49	10	gasoline	gasoline	NOUN
cet-12751	49	11	refining	refining	NOUN
cet-12751	49	12	,	,	PUNCT
cet-12751	49	13	this	this	DET
cet-12751	49	14	paper	paper	NOUN
cet-12751	49	15	proposes	propose	VERB
cet-12751	49	16	a	a	DET
cet-12751	49	17	novel	novel	ADJ
cet-12751	49	18	hybrid	hybrid	ADJ
cet-12751	49	19	intelligent	intelligent	ADJ
cet-12751	49	20	framework	framework	NOUN
cet-12751	49	21	for	for	ADP
cet-12751	49	22	ron	ron	PROPN
cet-12751	49	23	predicting	predicting	NOUN
cet-12751	49	24	and	and	CCONJ
cet-12751	49	25	process	process	NOUN
cet-12751	49	26	parameters	parameter	NOUN
cet-12751	49	27	optimisation	optimisation	NOUN
cet-12751	49	28	.	.	PUNCT
cet-12751	50	1	at	at	ADP
cet-12751	50	2	first	first	ADV
cet-12751	50	3	,	,	PUNCT
cet-12751	50	4	the	the	DET
cet-12751	50	5	pearson	pearson	PROPN
cet-12751	50	6	correlation	correlation	NOUN
cet-12751	50	7	coefficient	coefficient	NOUN
cet-12751	50	8	(	(	PUNCT
cet-12751	50	9	pcc	pcc	NOUN
cet-12751	50	10	)	)	PUNCT
cet-12751	50	11	is	be	AUX
cet-12751	50	12	calculated	calculate	VERB
cet-12751	50	13	to	to	PART
cet-12751	50	14	select	select	VERB
cet-12751	50	15	the	the	DET
cet-12751	50	16	input	input	NOUN
cet-12751	50	17	variables	variable	NOUN
cet-12751	50	18	.	.	PUNCT
cet-12751	51	1	subsequently	subsequently	ADV
cet-12751	51	2	,	,	PUNCT
cet-12751	51	3	based	base	VERB
cet-12751	51	4	on	on	ADP
cet-12751	51	5	the	the	DET
cet-12751	51	6	automatic	automatic	ADJ
cet-12751	51	7	machine	machine	NOUN
cet-12751	51	8	learning	learning	NOUN
cet-12751	51	9	(	(	PUNCT
cet-12751	51	10	aml	aml	NOUN
cet-12751	51	11	)	)	PUNCT
cet-12751	51	12	technique	technique	NOUN
cet-12751	51	13	,	,	PUNCT
cet-12751	51	14	the	the	DET
cet-12751	51	15	ron	ron	PROPN
cet-12751	51	16	prediction	prediction	NOUN
cet-12751	51	17	model	model	NOUN
cet-12751	51	18	is	be	AUX
cet-12751	51	19	established	establish	VERB
cet-12751	51	20	.	.	PUNCT
cet-12751	52	1	to	to	PART
cet-12751	52	2	increase	increase	VERB
cet-12751	52	3	the	the	DET
cet-12751	52	4	ron	ron	PROPN
cet-12751	52	5	of	of	ADP
cet-12751	52	6	refined	refined	ADJ
cet-12751	52	7	products	product	NOUN
cet-12751	52	8	,	,	PUNCT
cet-12751	52	9	the	the	DET
cet-12751	52	10	prediction	prediction	NOUN
cet-12751	52	11	model	model	NOUN
cet-12751	52	12	is	be	AUX
cet-12751	52	13	combined	combine	VERB
cet-12751	52	14	with	with	ADP
cet-12751	52	15	the	the	DET
cet-12751	52	16	pso	pso	NOUN
cet-12751	52	17	algorithm	algorithm	NOUN
cet-12751	52	18	to	to	PART
cet-12751	52	19	optimise	optimise	VERB
cet-12751	52	20	control	control	NOUN
cet-12751	52	21	variables	variable	NOUN
cet-12751	52	22	.	.	PUNCT
cet-12751	53	1	2	2	X
cet-12751	53	2	.	.	X
cet-12751	53	3	methodology	methodology	NOUN
cet-12751	53	4	in	in	ADP
cet-12751	53	5	this	this	DET
cet-12751	53	6	section	section	NOUN
cet-12751	53	7	,	,	PUNCT
cet-12751	53	8	the	the	DET
cet-12751	53	9	hybrid	hybrid	ADJ
cet-12751	53	10	framework	framework	NOUN
cet-12751	53	11	is	be	AUX
cet-12751	53	12	developed	develop	VERB
cet-12751	53	13	to	to	PART
cet-12751	53	14	predict	predict	VERB
cet-12751	53	15	ron	ron	PROPN
cet-12751	53	16	and	and	CCONJ
cet-12751	53	17	optimise	optimise	ADJ
cet-12751	53	18	operating	operating	NOUN
cet-12751	53	19	parameters	parameter	NOUN
cet-12751	53	20	of	of	ADP
cet-12751	53	21	the	the	DET
cet-12751	53	22	refined	refined	ADJ
cet-12751	53	23	process	process	NOUN
cet-12751	53	24	.	.	PUNCT
cet-12751	54	1	the	the	DET
cet-12751	54	2	fundamental	fundamental	ADJ
cet-12751	54	3	theories	theory	NOUN
cet-12751	54	4	of	of	ADP
cet-12751	54	5	aml	aml	PROPN
cet-12751	54	6	and	and	CCONJ
cet-12751	54	7	pso	pso	NOUN
cet-12751	54	8	are	be	AUX
cet-12751	54	9	briefly	briefly	ADV
cet-12751	54	10	introduced	introduce	VERB
cet-12751	54	11	initially	initially	ADV
cet-12751	54	12	.	.	PUNCT
cet-12751	55	1	then	then	ADV
cet-12751	55	2	a	a	DET
cet-12751	55	3	hybrid	hybrid	ADJ
cet-12751	55	4	framework	framework	NOUN
cet-12751	55	5	in	in	ADP
cet-12751	55	6	combination	combination	NOUN
cet-12751	55	7	with	with	ADP
cet-12751	55	8	the	the	DET
cet-12751	55	9	ron	ron	PROPN
cet-12751	55	10	prediction	prediction	NOUN
cet-12751	55	11	model	model	NOUN
cet-12751	55	12	and	and	CCONJ
cet-12751	55	13	parameters	parameter	NOUN
cet-12751	55	14	optimisation	optimisation	NOUN
cet-12751	55	15	method	method	NOUN
cet-12751	55	16	is	be	AUX
cet-12751	55	17	proposed	propose	VERB
cet-12751	55	18	.	.	PUNCT
cet-12751	56	1	2.1	2.1	NUM
cet-12751	56	2	basic	basic	ADJ
cet-12751	56	3	principles	principle	NOUN
cet-12751	56	4	2.1.1	2.1.1	NOUN
cet-12751	56	5	automatic	automatic	ADJ
cet-12751	56	6	machine	machine	NOUN
cet-12751	56	7	learning	learning	NOUN
cet-12751	56	8	despite	despite	SCONJ
cet-12751	56	9	the	the	DET
cet-12751	56	10	advancement	advancement	NOUN
cet-12751	56	11	obtained	obtain	VERB
cet-12751	56	12	in	in	ADP
cet-12751	56	13	the	the	DET
cet-12751	56	14	field	field	NOUN
cet-12751	56	15	of	of	ADP
cet-12751	56	16	machine	machine	NOUN
cet-12751	56	17	learning	learning	NOUN
cet-12751	56	18	,	,	PUNCT
cet-12751	56	19	the	the	DET
cet-12751	56	20	model	model	NOUN
cet-12751	56	21	construction	construction	NOUN
cet-12751	56	22	process	process	NOUN
cet-12751	56	23	is	be	AUX
cet-12751	56	24	timeconsuming	timeconsuming	ADJ
cet-12751	56	25	and	and	CCONJ
cet-12751	56	26	the	the	DET
cet-12751	56	27	model	model	NOUN
cet-12751	56	28	performance	performance	NOUN
cet-12751	56	29	is	be	AUX
cet-12751	56	30	related	relate	VERB
cet-12751	56	31	to	to	ADP
cet-12751	56	32	the	the	DET
cet-12751	56	33	goodness	goodness	NOUN
cet-12751	56	34	of	of	ADP
cet-12751	56	35	parameters	parameter	NOUN
cet-12751	56	36	optimisation	optimisation	NOUN
cet-12751	56	37	(	(	PUNCT
cet-12751	56	38	zhao	zhao	PROPN
cet-12751	56	39	et	et	PROPN
cet-12751	56	40	al	al	PROPN
cet-12751	56	41	.	.	PROPN
cet-12751	56	42	,	,	PUNCT
cet-12751	56	43	2021	2021	NUM
cet-12751	56	44	)	)	PUNCT
cet-12751	56	45	.	.	PUNCT
cet-12751	57	1	given	give	VERB
cet-12751	57	2	this	this	DET
cet-12751	57	3	circumstance	circumstance	NOUN
cet-12751	57	4	,	,	PUNCT
cet-12751	57	5	the	the	DET
cet-12751	57	6	aml	aml	NOUN
cet-12751	57	7	technique	technique	NOUN
cet-12751	57	8	is	be	AUX
cet-12751	57	9	proposed	propose	VERB
cet-12751	57	10	to	to	PART
cet-12751	57	11	perform	perform	VERB
cet-12751	57	12	repetitive	repetitive	ADJ
cet-12751	57	13	works	work	NOUN
cet-12751	57	14	,	,	PUNCT
cet-12751	57	15	such	such	ADJ
cet-12751	57	16	as	as	ADP
cet-12751	57	17	model	model	NOUN
cet-12751	57	18	selection	selection	NOUN
cet-12751	57	19	,	,	PUNCT
cet-12751	57	20	model	model	NOUN
cet-12751	57	21	combination	combination	NOUN
cet-12751	57	22	,	,	PUNCT
cet-12751	57	23	and	and	CCONJ
cet-12751	57	24	model	model	NOUN
cet-12751	57	25	optimisation	optimisation	NOUN
cet-12751	57	26	,	,	PUNCT
cet-12751	57	27	aiming	aim	VERB
cet-12751	57	28	to	to	ADP
cet-12751	57	29	improving	improve	VERB
cet-12751	57	30	modelling	modelling	NOUN
cet-12751	57	31	efficiency	efficiency	NOUN
cet-12751	57	32	(	(	PUNCT
cet-12751	57	33	balaji	balaji	NOUN
cet-12751	57	34	and	and	CCONJ
cet-12751	57	35	allen	allen	PROPN
cet-12751	57	36	,	,	PUNCT
cet-12751	57	37	2018	2018	NUM
cet-12751	57	38	)	)	PUNCT
cet-12751	57	39	.	.	PUNCT
cet-12751	58	1	in	in	ADP
cet-12751	58	2	this	this	DET
cet-12751	58	3	paper	paper	NOUN
cet-12751	58	4	,	,	PUNCT
cet-12751	58	5	aml	aml	NOUN
cet-12751	58	6	technique	technique	NOUN
cet-12751	58	7	is	be	AUX
cet-12751	58	8	applied	apply	VERB
cet-12751	58	9	for	for	ADP
cet-12751	58	10	automatic	automatic	ADJ
cet-12751	58	11	model	model	NOUN
cet-12751	58	12	construction	construction	NOUN
cet-12751	58	13	.	.	PUNCT
cet-12751	59	1	to	to	PART
cet-12751	59	2	find	find	VERB
cet-12751	59	3	the	the	DET
cet-12751	59	4	best	good	ADJ
cet-12751	59	5	pipeline	pipeline	NOUN
cet-12751	59	6	for	for	ADP
cet-12751	59	7	the	the	DET
cet-12751	59	8	research	research	NOUN
cet-12751	59	9	dataset	dataset	NOUN
cet-12751	59	10	,	,	PUNCT
cet-12751	59	11	genetic	genetic	ADJ
cet-12751	59	12	programming	programming	NOUN
cet-12751	59	13	is	be	AUX
cet-12751	59	14	used	use	VERB
cet-12751	59	15	to	to	PART
cet-12751	59	16	automate	automate	VERB
cet-12751	59	17	the	the	DET
cet-12751	59	18	most	most	ADV
cet-12751	59	19	tedious	tedious	ADJ
cet-12751	59	20	part	part	NOUN
cet-12751	59	21	of	of	ADP
cet-12751	59	22	machine	machine	NOUN
cet-12751	59	23	learning	learning	NOUN
cet-12751	59	24	.	.	PUNCT
cet-12751	60	1	1166	1166	NUM
cet-12751	60	2	2.1.2	2.1.2	NUM
cet-12751	60	3	pso	pso	NOUN
cet-12751	60	4	algorithm	algorithm	NOUN
cet-12751	60	5	pso	pso	NOUN
cet-12751	60	6	algorithm	algorithm	PROPN
cet-12751	60	7	is	be	AUX
cet-12751	60	8	first	first	ADV
cet-12751	60	9	proposed	propose	VERB
cet-12751	60	10	by	by	ADP
cet-12751	60	11	eberhart	eberhart	NOUN
cet-12751	60	12	and	and	CCONJ
cet-12751	60	13	kennedy	kennedy	PROPN
cet-12751	60	14	in	in	ADP
cet-12751	60	15	1995	1995	NUM
cet-12751	60	16	(	(	PUNCT
cet-12751	60	17	poil	poil	PROPN
cet-12751	60	18	et	et	PROPN
cet-12751	60	19	al	al	PROPN
cet-12751	60	20	.	.	PROPN
cet-12751	60	21	,	,	PUNCT
cet-12751	60	22	2007	2007	NUM
cet-12751	60	23	)	)	PUNCT
cet-12751	60	24	and	and	CCONJ
cet-12751	60	25	has	have	AUX
cet-12751	60	26	received	receive	VERB
cet-12751	60	27	increasing	increase	VERB
cet-12751	60	28	awareness	awareness	NOUN
cet-12751	60	29	and	and	CCONJ
cet-12751	60	30	application	application	NOUN
cet-12751	60	31	in	in	ADP
cet-12751	60	32	recent	recent	ADJ
cet-12751	60	33	years	year	NOUN
cet-12751	60	34	.	.	PUNCT
cet-12751	61	1	in	in	ADP
cet-12751	61	2	this	this	DET
cet-12751	61	3	work	work	NOUN
cet-12751	61	4	,	,	PUNCT
cet-12751	61	5	pso	pso	NOUN
cet-12751	61	6	is	be	AUX
cet-12751	61	7	applied	apply	VERB
cet-12751	61	8	to	to	PART
cet-12751	61	9	optimise	optimise	VERB
cet-12751	61	10	the	the	DET
cet-12751	61	11	operation	operation	NOUN
cet-12751	61	12	parameters	parameter	NOUN
cet-12751	61	13	of	of	ADP
cet-12751	61	14	the	the	DET
cet-12751	61	15	refined	refined	ADJ
cet-12751	61	16	process	process	NOUN
cet-12751	61	17	.	.	PUNCT
cet-12751	62	1	at	at	ADP
cet-12751	62	2	first	first	ADV
cet-12751	62	3	,	,	PUNCT
cet-12751	62	4	the	the	DET
cet-12751	62	5	size	size	NOUN
cet-12751	62	6	of	of	ADP
cet-12751	62	7	the	the	DET
cet-12751	62	8	population	population	NOUN
cet-12751	62	9	is	be	AUX
cet-12751	62	10	determined	determine	VERB
cet-12751	62	11	to	to	PART
cet-12751	62	12	form	form	VERB
cet-12751	62	13	the	the	DET
cet-12751	62	14	first	first	ADJ
cet-12751	62	15	generation	generation	NOUN
cet-12751	62	16	.	.	PUNCT
cet-12751	63	1	the	the	DET
cet-12751	63	2	dimensional	dimensional	ADJ
cet-12751	63	3	of	of	ADP
cet-12751	63	4	each	each	DET
cet-12751	63	5	individual	individual	NOUN
cet-12751	63	6	is	be	AUX
cet-12751	63	7	determined	determine	VERB
cet-12751	63	8	based	base	VERB
cet-12751	63	9	on	on	ADP
cet-12751	63	10	the	the	DET
cet-12751	63	11	input	input	NOUN
cet-12751	63	12	features	feature	NOUN
cet-12751	63	13	of	of	ADP
cet-12751	63	14	the	the	DET
cet-12751	63	15	ron	ron	PROPN
cet-12751	63	16	predicted	predict	VERB
cet-12751	63	17	model	model	NOUN
cet-12751	63	18	.	.	PUNCT
cet-12751	64	1	then	then	ADV
cet-12751	64	2	,	,	PUNCT
cet-12751	64	3	the	the	DET
cet-12751	64	4	ron	ron	PROPN
cet-12751	64	5	loss	loss	NOUN
cet-12751	64	6	(	(	PUNCT
cet-12751	64	7	eq	eq	NOUN
cet-12751	64	8	(	(	PUNCT
cet-12751	64	9	1	1	NUM
cet-12751	64	10	)	)	PUNCT
cet-12751	64	11	)	)	PUNCT
cet-12751	64	12	,	,	PUNCT
cet-12751	64	13	which	which	PRON
cet-12751	64	14	is	be	AUX
cet-12751	64	15	the	the	DET
cet-12751	64	16	difference	difference	NOUN
cet-12751	64	17	between	between	ADP
cet-12751	64	18	the	the	DET
cet-12751	64	19	ron	ron	PROPN
cet-12751	64	20	of	of	ADP
cet-12751	64	21	material	material	NOUN
cet-12751	64	22	gasoline	gasoline	NOUN
cet-12751	64	23	and	and	CCONJ
cet-12751	64	24	the	the	DET
cet-12751	64	25	ron	ron	PROPN
cet-12751	64	26	of	of	ADP
cet-12751	64	27	product	product	NOUN
cet-12751	64	28	gasoline	gasoline	NOUN
cet-12751	64	29	,	,	PUNCT
cet-12751	64	30	is	be	AUX
cet-12751	64	31	calculated	calculate	VERB
cet-12751	64	32	to	to	PART
cet-12751	64	33	conduct	conduct	VERB
cet-12751	64	34	a	a	DET
cet-12751	64	35	fitness	fitness	NOUN
cet-12751	64	36	evaluation	evaluation	NOUN
cet-12751	64	37	.	.	PUNCT
cet-12751	65	1	the	the	DET
cet-12751	65	2	optimal	optimal	ADJ
cet-12751	65	3	individual	individual	NOUN
cet-12751	65	4	and	and	CCONJ
cet-12751	65	5	the	the	DET
cet-12751	65	6	optimal	optimal	ADJ
cet-12751	65	7	population	population	NOUN
cet-12751	65	8	value	value	NOUN
cet-12751	65	9	are	be	AUX
cet-12751	65	10	acquired	acquire	VERB
cet-12751	65	11	to	to	PART
cet-12751	65	12	update	update	VERB
cet-12751	65	13	the	the	DET
cet-12751	65	14	particles	particle	NOUN
cet-12751	65	15	relying	rely	VERB
cet-12751	65	16	on	on	ADP
cet-12751	65	17	the	the	DET
cet-12751	65	18	less	less	ADJ
cet-12751	65	19	ron	ron	NOUN
cet-12751	65	20	loss	loss	NOUN
cet-12751	65	21	.	.	PUNCT
cet-12751	66	1	to	to	ADP
cet-12751	66	2	this	this	DET
cet-12751	66	3	end	end	NOUN
cet-12751	66	4	,	,	PUNCT
cet-12751	66	5	the	the	DET
cet-12751	66	6	best	good	ADJ
cet-12751	66	7	individual	individual	NOUN
cet-12751	66	8	of	of	ADP
cet-12751	66	9	the	the	DET
cet-12751	66	10	group	group	NOUN
cet-12751	66	11	will	will	AUX
cet-12751	66	12	be	be	AUX
cet-12751	66	13	found	find	VERB
cet-12751	66	14	,	,	PUNCT
cet-12751	66	15	as	as	SCONJ
cet-12751	66	16	the	the	DET
cet-12751	66	17	best	good	ADJ
cet-12751	66	18	value	value	NOUN
cet-12751	66	19	will	will	AUX
cet-12751	66	20	converge	converge	VERB
cet-12751	66	21	within	within	ADP
cet-12751	66	22	the	the	DET
cet-12751	66	23	maximum	maximum	ADJ
cet-12751	66	24	iteration	iteration	NOUN
cet-12751	66	25	.	.	PUNCT
cet-12751	67	1	the	the	DET
cet-12751	67	2	operation	operation	NOUN
cet-12751	67	3	parameters	parameter	NOUN
cet-12751	67	4	are	be	AUX
cet-12751	67	5	optimised	optimise	VERB
cet-12751	67	6	by	by	ADP
cet-12751	67	7	it	it	PRON
cet-12751	67	8	.	.	PUNCT
cet-12751	68	1	𝑅𝑅𝑅𝑅𝑁𝑁𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙	𝑅𝑅𝑅𝑅𝑁𝑁𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙	PROPN
cet-12751	68	2	=	=	SYM
cet-12751	68	3	𝑅𝑅𝑅𝑅𝑁𝑁𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑙𝑙	𝑅𝑅𝑅𝑅𝑁𝑁𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑙𝑙	PROPN
cet-12751	68	4	−	−	PROPN
cet-12751	68	5	𝑅𝑅𝑅𝑅𝑁𝑁𝑝𝑝𝑚𝑚𝑙𝑙𝑝𝑝𝑝𝑝𝑝𝑝𝑚𝑚	𝑅𝑅𝑅𝑅𝑁𝑁𝑝𝑝𝑚𝑚𝑙𝑙𝑝𝑝𝑝𝑝𝑝𝑝𝑚𝑚	PROPN
cet-12751	68	6	(	(	PUNCT
cet-12751	68	7	1	1	NUM
cet-12751	68	8	)	)	PUNCT
cet-12751	68	9	where	where	SCONJ
cet-12751	68	10	𝑅𝑅𝑅𝑅𝑁𝑁𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑙𝑙	𝑅𝑅𝑅𝑅𝑁𝑁𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑙𝑙	PROPN
cet-12751	68	11	represents	represent	VERB
cet-12751	68	12	the	the	DET
cet-12751	68	13	ron	ron	PROPN
cet-12751	68	14	of	of	ADP
cet-12751	68	15	refining	refining	NOUN
cet-12751	68	16	material	material	NOUN
cet-12751	68	17	,	,	PUNCT
cet-12751	68	18	which	which	PRON
cet-12751	68	19	is	be	AUX
cet-12751	68	20	the	the	DET
cet-12751	68	21	catalytic	catalytic	ADJ
cet-12751	68	22	cracking	cracking	NOUN
cet-12751	68	23	gasoline	gasoline	NOUN
cet-12751	68	24	.	.	PUNCT
cet-12751	69	1	𝑅𝑅𝑅𝑅𝑁𝑁𝑝𝑝𝑚𝑚𝑙𝑙𝑝𝑝𝑝𝑝𝑝𝑝𝑚𝑚	𝑅𝑅𝑅𝑅𝑁𝑁𝑝𝑝𝑚𝑚𝑙𝑙𝑝𝑝𝑝𝑝𝑝𝑝𝑚𝑚	PROPN
cet-12751	69	2	is	be	AUX
cet-12751	69	3	the	the	DET
cet-12751	69	4	ron	ron	PROPN
cet-12751	69	5	of	of	ADP
cet-12751	69	6	gasoline	gasoline	NOUN
cet-12751	69	7	products	product	NOUN
cet-12751	69	8	.	.	PUNCT
cet-12751	70	1	2.2	2.2	NUM
cet-12751	70	2	a	a	DET
cet-12751	70	3	hybrid	hybrid	ADJ
cet-12751	70	4	framework	framework	NOUN
cet-12751	70	5	for	for	ADP
cet-12751	70	6	ron	ron	PROPN
cet-12751	70	7	prediction	prediction	NOUN
cet-12751	70	8	and	and	CCONJ
cet-12751	70	9	parameters	parameter	NOUN
cet-12751	70	10	optimisation	optimisation	VERB
cet-12751	70	11	the	the	DET
cet-12751	70	12	main	main	ADJ
cet-12751	70	13	process	process	NOUN
cet-12751	70	14	of	of	ADP
cet-12751	70	15	the	the	DET
cet-12751	70	16	proposed	propose	VERB
cet-12751	70	17	hybrid	hybrid	NOUN
cet-12751	70	18	framework	framework	NOUN
cet-12751	70	19	is	be	AUX
cet-12751	70	20	depicted	depict	VERB
cet-12751	70	21	in	in	ADP
cet-12751	70	22	figure	figure	NOUN
cet-12751	70	23	1	1	NUM
cet-12751	70	24	.	.	PUNCT
cet-12751	71	1	the	the	DET
cet-12751	71	2	historical	historical	ADJ
cet-12751	71	3	operating	operate	VERB
cet-12751	71	4	data	datum	NOUN
cet-12751	71	5	of	of	ADP
cet-12751	71	6	szorb	szorb	NOUN
cet-12751	71	7	equipment	equipment	NOUN
cet-12751	71	8	is	be	AUX
cet-12751	71	9	collected	collect	VERB
cet-12751	71	10	to	to	PART
cet-12751	71	11	form	form	VERB
cet-12751	71	12	a	a	DET
cet-12751	71	13	database	database	NOUN
cet-12751	71	14	.	.	PUNCT
cet-12751	72	1	the	the	DET
cet-12751	72	2	operating	operating	NOUN
cet-12751	72	3	data	data	NOUN
cet-12751	72	4	is	be	AUX
cet-12751	72	5	pre	pre	VERB
cet-12751	72	6	-	-	VERB
cet-12751	72	7	processed	process	VERB
cet-12751	72	8	to	to	PART
cet-12751	72	9	select	select	VERB
cet-12751	72	10	input	input	NOUN
cet-12751	72	11	control	control	NOUN
cet-12751	72	12	variables	variable	NOUN
cet-12751	72	13	,	,	PUNCT
cet-12751	72	14	the	the	DET
cet-12751	72	15	output	output	NOUN
cet-12751	72	16	variable	variable	NOUN
cet-12751	72	17	is	be	AUX
cet-12751	72	18	product	product	NOUN
cet-12751	72	19	gasoline	gasoline	NOUN
cet-12751	72	20	’s	’s	PART
cet-12751	72	21	ron	ron	PROPN
cet-12751	72	22	.	.	PUNCT
cet-12751	73	1	the	the	DET
cet-12751	73	2	process	process	NOUN
cet-12751	73	3	of	of	ADP
cet-12751	73	4	data	datum	NOUN
cet-12751	73	5	pre	pre	ADJ
cet-12751	73	6	-	-	ADJ
cet-12751	73	7	processing	processing	NOUN
cet-12751	73	8	mainly	mainly	ADV
cet-12751	73	9	contains	contain	VERB
cet-12751	73	10	data	datum	NOUN
cet-12751	73	11	dimensionality	dimensionality	NOUN
cet-12751	73	12	reduction	reduction	NOUN
cet-12751	73	13	,	,	PUNCT
cet-12751	73	14	data	datum	NOUN
cet-12751	73	15	normalisation	normalisation	NOUN
cet-12751	73	16	,	,	PUNCT
cet-12751	73	17	and	and	CCONJ
cet-12751	73	18	data	datum	NOUN
cet-12751	73	19	division	division	NOUN
cet-12751	73	20	.	.	PUNCT
cet-12751	74	1	then	then	ADV
cet-12751	74	2	the	the	DET
cet-12751	74	3	prediction	prediction	NOUN
cet-12751	74	4	model	model	NOUN
cet-12751	74	5	is	be	AUX
cet-12751	74	6	generated	generate	VERB
cet-12751	74	7	by	by	ADP
cet-12751	74	8	automating	automate	VERB
cet-12751	74	9	model	model	NOUN
cet-12751	74	10	selection	selection	NOUN
cet-12751	74	11	,	,	PUNCT
cet-12751	74	12	model	model	NOUN
cet-12751	74	13	combination	combination	NOUN
cet-12751	74	14	,	,	PUNCT
cet-12751	74	15	model	model	NOUN
cet-12751	74	16	optimisation	optimisation	NOUN
cet-12751	74	17	,	,	PUNCT
cet-12751	74	18	and	and	CCONJ
cet-12751	74	19	the	the	DET
cet-12751	74	20	historical	historical	ADJ
cet-12751	74	21	operating	operating	NOUN
cet-12751	74	22	data	datum	NOUN
cet-12751	74	23	is	be	AUX
cet-12751	74	24	used	use	VERB
cet-12751	74	25	to	to	PART
cet-12751	74	26	train	train	VERB
cet-12751	74	27	the	the	DET
cet-12751	74	28	model	model	NOUN
cet-12751	74	29	.	.	PUNCT
cet-12751	75	1	after	after	SCONJ
cet-12751	75	2	the	the	DET
cet-12751	75	3	training	training	NOUN
cet-12751	75	4	process	process	NOUN
cet-12751	75	5	is	be	AUX
cet-12751	75	6	finished	finish	VERB
cet-12751	75	7	,	,	PUNCT
cet-12751	75	8	the	the	DET
cet-12751	75	9	ron	ron	PROPN
cet-12751	75	10	predicted	predict	VERB
cet-12751	75	11	model	model	NOUN
cet-12751	75	12	is	be	AUX
cet-12751	75	13	constructed	construct	VERB
cet-12751	75	14	.	.	PUNCT
cet-12751	76	1	then	then	ADV
cet-12751	76	2	,	,	PUNCT
cet-12751	76	3	the	the	DET
cet-12751	76	4	realtime	realtime	ADJ
cet-12751	76	5	operating	operate	VERB
cet-12751	76	6	parameters	parameter	NOUN
cet-12751	76	7	are	be	AUX
cet-12751	76	8	obtained	obtain	VERB
cet-12751	76	9	to	to	PART
cet-12751	76	10	select	select	VERB
cet-12751	76	11	input	input	NOUN
cet-12751	76	12	control	control	NOUN
cet-12751	76	13	variables	variable	NOUN
cet-12751	76	14	for	for	ADP
cet-12751	76	15	the	the	DET
cet-12751	76	16	predicted	predict	VERB
cet-12751	76	17	model	model	NOUN
cet-12751	76	18	,	,	PUNCT
cet-12751	76	19	and	and	CCONJ
cet-12751	76	20	the	the	DET
cet-12751	76	21	ron	ron	PROPN
cet-12751	76	22	of	of	ADP
cet-12751	76	23	refined	refined	ADJ
cet-12751	76	24	products	product	NOUN
cet-12751	76	25	is	be	AUX
cet-12751	76	26	estimated	estimate	VERB
cet-12751	76	27	through	through	ADP
cet-12751	76	28	it	it	PRON
cet-12751	76	29	.	.	PUNCT
cet-12751	77	1	based	base	VERB
cet-12751	77	2	on	on	ADP
cet-12751	77	3	the	the	DET
cet-12751	77	4	prediction	prediction	NOUN
cet-12751	77	5	model	model	NOUN
cet-12751	77	6	and	and	CCONJ
cet-12751	77	7	intelligent	intelligent	ADJ
cet-12751	77	8	algorithm	algorithm	NOUN
cet-12751	77	9	,	,	PUNCT
cet-12751	77	10	the	the	DET
cet-12751	77	11	operating	operate	VERB
cet-12751	77	12	parameters	parameter	NOUN
cet-12751	77	13	are	be	AUX
cet-12751	77	14	optimised	optimise	VERB
cet-12751	77	15	by	by	ADP
cet-12751	77	16	maximising	maximise	VERB
cet-12751	77	17	ron	ron	PROPN
cet-12751	77	18	loss	loss	NOUN
cet-12751	77	19	reduction	reduction	NOUN
cet-12751	77	20	.	.	PUNCT
cet-12751	78	1	to	to	PART
cet-12751	78	2	increase	increase	VERB
cet-12751	78	3	the	the	DET
cet-12751	78	4	ron	ron	PROPN
cet-12751	78	5	of	of	ADP
cet-12751	78	6	refined	refined	ADJ
cet-12751	78	7	products	product	NOUN
cet-12751	78	8	to	to	PART
cet-12751	78	9	improve	improve	VERB
cet-12751	78	10	economic	economic	ADJ
cet-12751	78	11	benefits	benefit	NOUN
cet-12751	78	12	,	,	PUNCT
cet-12751	78	13	the	the	DET
cet-12751	78	14	initial	initial	ADJ
cet-12751	78	15	values	value	NOUN
cet-12751	78	16	of	of	ADP
cet-12751	78	17	control	control	NOUN
cet-12751	78	18	variables	variable	NOUN
cet-12751	78	19	are	be	AUX
cet-12751	78	20	utilised	utilise	VERB
cet-12751	78	21	to	to	PART
cet-12751	78	22	initialise	initialise	VERB
cet-12751	78	23	the	the	DET
cet-12751	78	24	particle	particle	NOUN
cet-12751	78	25	swarm	swarm	NOUN
cet-12751	78	26	.	.	PUNCT
cet-12751	79	1	after	after	ADP
cet-12751	79	2	several	several	ADJ
cet-12751	79	3	iterations	iteration	NOUN
cet-12751	79	4	,	,	PUNCT
cet-12751	79	5	the	the	DET
cet-12751	79	6	best	good	ADJ
cet-12751	79	7	value	value	NOUN
cet-12751	79	8	of	of	ADP
cet-12751	79	9	operating	operating	NOUN
cet-12751	79	10	parameters	parameter	NOUN
cet-12751	79	11	and	and	CCONJ
cet-12751	79	12	ron	ron	PROPN
cet-12751	79	13	loss	loss	NOUN
cet-12751	79	14	reduction	reduction	NOUN
cet-12751	79	15	tend	tend	VERB
cet-12751	79	16	to	to	PART
cet-12751	79	17	converge	converge	VERB
cet-12751	79	18	.	.	PUNCT
cet-12751	80	1	eventually	eventually	ADV
cet-12751	80	2	,	,	PUNCT
cet-12751	80	3	the	the	DET
cet-12751	80	4	operating	operate	VERB
cet-12751	80	5	parameters	parameter	NOUN
cet-12751	80	6	of	of	ADP
cet-12751	80	7	the	the	DET
cet-12751	80	8	refining	refining	NOUN
cet-12751	80	9	process	process	NOUN
cet-12751	80	10	are	be	AUX
cet-12751	80	11	acquired	acquire	VERB
cet-12751	80	12	to	to	PART
cet-12751	80	13	decrease	decrease	VERB
cet-12751	80	14	ron	ron	PROPN
cet-12751	80	15	loss	loss	NOUN
cet-12751	80	16	.	.	PUNCT
cet-12751	81	1	figure	figure	NOUN
cet-12751	81	2	1	1	NUM
cet-12751	81	3	:	:	PUNCT
cet-12751	81	4	the	the	DET
cet-12751	81	5	hybrid	hybrid	ADJ
cet-12751	81	6	intelligent	intelligent	ADJ
cet-12751	81	7	framework	framework	NOUN
cet-12751	81	8	of	of	ADP
cet-12751	81	9	this	this	DET
cet-12751	81	10	work	work	NOUN
cet-12751	81	11	2.3	2.3	NUM
cet-12751	81	12	evaluation	evaluation	NOUN
cet-12751	81	13	metrics	metric	NOUN
cet-12751	81	14	to	to	PART
cet-12751	81	15	evaluate	evaluate	VERB
cet-12751	81	16	the	the	DET
cet-12751	81	17	performance	performance	NOUN
cet-12751	81	18	of	of	ADP
cet-12751	81	19	prediction	prediction	NOUN
cet-12751	81	20	models	model	NOUN
cet-12751	81	21	,	,	PUNCT
cet-12751	81	22	several	several	ADJ
cet-12751	81	23	evaluation	evaluation	NOUN
cet-12751	81	24	metrics	metric	NOUN
cet-12751	81	25	are	be	AUX
cet-12751	81	26	applied	apply	VERB
cet-12751	81	27	,	,	PUNCT
cet-12751	81	28	such	such	ADJ
cet-12751	81	29	as	as	ADP
cet-12751	81	30	mean	mean	ADJ
cet-12751	81	31	absolute	absolute	ADJ
cet-12751	81	32	percentage	percentage	NOUN
cet-12751	81	33	error	error	NOUN
cet-12751	81	34	(	(	PUNCT
cet-12751	81	35	mape	mape	NOUN
cet-12751	81	36	)	)	PUNCT
cet-12751	81	37	,	,	PUNCT
cet-12751	81	38	root	root	NOUN
cet-12751	81	39	mean	mean	VERB
cet-12751	81	40	square	square	ADJ
cet-12751	81	41	error	error	NOUN
cet-12751	81	42	(	(	PUNCT
cet-12751	81	43	rmse	rmse	NOUN
cet-12751	81	44	)	)	PUNCT
cet-12751	81	45	,	,	PUNCT
cet-12751	81	46	mean	mean	VERB
cet-12751	81	47	absolute	absolute	ADJ
cet-12751	81	48	error	error	NOUN
cet-12751	81	49	(	(	PUNCT
cet-12751	81	50	mae	mae	PROPN
cet-12751	81	51	)	)	PUNCT
cet-12751	81	52	,	,	PUNCT
cet-12751	81	53	and	and	CCONJ
cet-12751	81	54	the	the	DET
cet-12751	81	55	rsquared	rsquare	VERB
cet-12751	81	56	(	(	PUNCT
cet-12751	81	57	r2	r2	PROPN
cet-12751	81	58	)	)	PUNCT
cet-12751	81	59	.	.	PUNCT
cet-12751	82	1	the	the	DET
cet-12751	82	2	formulations	formulation	NOUN
cet-12751	82	3	of	of	ADP
cet-12751	82	4	these	these	DET
cet-12751	82	5	metrics	metric	NOUN
cet-12751	82	6	are	be	AUX
cet-12751	82	7	as	as	SCONJ
cet-12751	82	8	follows	follow	VERB
cet-12751	82	9	:	:	PUNCT
cet-12751	82	10	1	1	NUM
cet-12751	82	11	ˆ1	ˆ1	NOUN
cet-12751	82	12	100	100	NUM
cet-12751	82	13	,	,	PUNCT
cet-12751	82	14	%	%	INTJ
cet-12751	83	1	n	n	INTJ
cet-12751	84	1	i	i	PRON
cet-12751	85	1	i	i	PRON
cet-12751	86	1	i	i	PRON
cet-12751	87	1	i	i	VERB
cet-12751	87	2	y	y	VERB
cet-12751	87	3	ymape	ymape	NOUN
cet-12751	87	4	n	n	INTJ
cet-12751	87	5	y=	y=	NUM
cet-12751	87	6	−	−	PROPN
cet-12751	88	1	=	=	SYM
cet-12751	88	2	×∑	×∑	NOUN
cet-12751	88	3	(	(	PUNCT
cet-12751	88	4	2	2	NUM
cet-12751	88	5	)	)	PUNCT
cet-12751	88	6	1167	1167	NUM
cet-12751	88	7	2	2	NUM
cet-12751	88	8	1	1	NUM
cet-12751	88	9	1	1	NUM
cet-12751	88	10	ˆ	ˆ	PROPN
cet-12751	88	11	(	(	PUNCT
cet-12751	88	12	)	)	PUNCT
cet-12751	88	13	n	n	CCONJ
cet-12751	89	1	i	i	PRON
cet-12751	89	2	i	i	PRON
cet-12751	90	1	i	i	PRON
cet-12751	90	2	rmse	rmse	VERB
cet-12751	90	3	y	y	PROPN
cet-12751	90	4	y	y	PROPN
cet-12751	90	5	n	n	PROPN
cet-12751	90	6	=	=	SYM
cet-12751	90	7	=	=	SYM
cet-12751	90	8	−∑	−∑	PROPN
cet-12751	90	9	(	(	PUNCT
cet-12751	90	10	3	3	NUM
cet-12751	90	11	)	)	SYM
cet-12751	90	12	1	1	NUM
cet-12751	90	13	1	1	NUM
cet-12751	90	14	ˆ	ˆ	NOUN
cet-12751	91	1	n	n	NOUN
cet-12751	92	1	i	i	PRON
cet-12751	93	1	i	i	PRON
cet-12751	94	1	i	i	PRON
cet-12751	94	2	mae	mae	PROPN
cet-12751	95	1	y	y	PROPN
cet-12751	95	2	y	y	PROPN
cet-12751	95	3	n	n	PROPN
cet-12751	95	4	=	=	SYM
cet-12751	95	5	=	=	SYM
cet-12751	95	6	−∑	−∑	PROPN
cet-12751	95	7	(	(	PUNCT
cet-12751	95	8	4	4	NUM
cet-12751	95	9	)	)	SYM
cet-12751	95	10	2	2	NUM
cet-12751	95	11	2	2	NUM
cet-12751	95	12	21	21	NUM
cet-12751	95	13	2	2	NUM
cet-12751	95	14	1	1	NUM
cet-12751	95	15	ˆ	ˆ	NOUN
cet-12751	95	16	(	(	PUNCT
cet-12751	95	17	)	)	PUNCT
cet-12751	95	18	1	1	NUM
cet-12751	95	19	1	1	NUM
cet-12751	95	20	(	(	PUNCT
cet-12751	95	21	)	)	PUNCT
cet-12751	95	22	n	n	CCONJ
cet-12751	96	1	i	i	PRON
cet-12751	96	2	i	i	PRON
cet-12751	97	1	i	i	PRON
cet-12751	97	2	n	n	VERB
cet-12751	98	1	i	i	PRON
cet-12751	98	2	i	i	PRON
cet-12751	99	1	i	i	VERB
cet-12751	100	1	y	y	VERB
cet-12751	100	2	y	y	NOUN
cet-12751	100	3	r	r	NOUN
cet-12751	100	4	r	r	NOUN
cet-12751	100	5	y	y	PROPN
cet-12751	100	6	y	y	NOUN
cet-12751	100	7	=	=	PUNCT
cet-12751	100	8	=	=	PUNCT
cet-12751	101	1	−	−	PROPN
cet-12751	101	2	=	=	SYM
cet-12751	101	3	−	−	PROPN
cet-12751	102	1	−∞	−∞	ADP
cet-12751	102	2	≤	≤	ADJ
cet-12751	102	3	≤	≤	NUM
cet-12751	102	4	−	−	ADP
cet-12751	102	5	∑	∑	PROPN
cet-12751	102	6	∑	∑	PUNCT
cet-12751	102	7	(	(	PUNCT
cet-12751	102	8	5	5	NUM
cet-12751	102	9	)	)	PUNCT
cet-12751	102	10	where	where	SCONJ
cet-12751	102	11	𝑦𝑦𝑚𝑚	𝑦𝑦𝑚𝑚	NOUN
cet-12751	102	12	,	,	PUNCT
cet-12751	102	13	𝑦𝑦	𝑦𝑦	PROPN
cet-12751	102	14	�	�	PROPN
cet-12751	102	15	𝑚𝑚	𝑚𝑚	ADP
cet-12751	102	16	and	and	CCONJ
cet-12751	102	17	�	�	PROPN
cet-12751	102	18	̄	̄	PROPN
cet-12751	102	19	�	�	PROPN
cet-12751	102	20	𝑦𝑚𝑚	𝑦𝑚𝑚	NOUN
cet-12751	102	21	are	be	AUX
cet-12751	102	22	observed	observe	VERB
cet-12751	102	23	values	value	NOUN
cet-12751	102	24	,	,	PUNCT
cet-12751	102	25	predicted	predict	VERB
cet-12751	102	26	values	value	NOUN
cet-12751	102	27	,	,	PUNCT
cet-12751	102	28	and	and	CCONJ
cet-12751	102	29	average	average	ADJ
cet-12751	102	30	values	value	NOUN
cet-12751	102	31	of	of	ADP
cet-12751	102	32	ron	ron	PROPN
cet-12751	102	33	product	product	NOUN
cet-12751	102	34	.	.	PUNCT
cet-12751	103	1	3	3	X
cet-12751	103	2	.	.	X
cet-12751	103	3	case	case	NOUN
cet-12751	103	4	study	study	NOUN
cet-12751	103	5	in	in	ADP
cet-12751	103	6	this	this	DET
cet-12751	103	7	section	section	NOUN
cet-12751	103	8	,	,	PUNCT
cet-12751	103	9	a	a	DET
cet-12751	103	10	real	real	ADJ
cet-12751	103	11	-	-	PUNCT
cet-12751	103	12	world	world	NOUN
cet-12751	103	13	industrial	industrial	ADJ
cet-12751	103	14	dataset	dataset	NOUN
cet-12751	103	15	is	be	AUX
cet-12751	103	16	established	establish	VERB
cet-12751	103	17	by	by	ADP
cet-12751	103	18	collecting	collect	VERB
cet-12751	103	19	operating	operate	VERB
cet-12751	103	20	data	datum	NOUN
cet-12751	103	21	of	of	ADP
cet-12751	103	22	s	s	NOUN
cet-12751	103	23	-	-	PUNCT
cet-12751	103	24	zorb	zorb	NOUN
cet-12751	103	25	refining	refining	NOUN
cet-12751	103	26	equipment	equipment	NOUN
cet-12751	103	27	.	.	PUNCT
cet-12751	104	1	then	then	ADV
cet-12751	104	2	,	,	PUNCT
cet-12751	104	3	the	the	DET
cet-12751	104	4	performance	performance	NOUN
cet-12751	104	5	of	of	ADP
cet-12751	104	6	the	the	DET
cet-12751	104	7	proposed	propose	VERB
cet-12751	104	8	hybrid	hybrid	ADJ
cet-12751	104	9	intelligent	intelligent	ADJ
cet-12751	104	10	framework	framework	NOUN
cet-12751	104	11	is	be	AUX
cet-12751	104	12	verified	verify	VERB
cet-12751	104	13	by	by	ADP
cet-12751	104	14	testing	test	VERB
cet-12751	104	15	the	the	DET
cet-12751	104	16	accuracy	accuracy	NOUN
cet-12751	104	17	of	of	ADP
cet-12751	104	18	the	the	DET
cet-12751	104	19	ron	ron	PROPN
cet-12751	104	20	prediction	prediction	NOUN
cet-12751	104	21	model	model	NOUN
cet-12751	104	22	and	and	CCONJ
cet-12751	104	23	optimising	optimise	VERB
cet-12751	104	24	the	the	DET
cet-12751	104	25	operating	operate	VERB
cet-12751	104	26	parameters	parameter	NOUN
cet-12751	104	27	to	to	PART
cet-12751	104	28	increase	increase	VERB
cet-12751	104	29	product	product	NOUN
cet-12751	104	30	ron	ron	PROPN
cet-12751	104	31	.	.	PROPN
cet-12751	104	32	3.1	3.1	NUM
cet-12751	104	33	data	datum	NOUN
cet-12751	104	34	description	description	NOUN
cet-12751	104	35	the	the	DET
cet-12751	104	36	historical	historical	ADJ
cet-12751	104	37	operating	operating	NOUN
cet-12751	104	38	data	datum	NOUN
cet-12751	104	39	accumulated	accumulate	VERB
cet-12751	104	40	over	over	ADP
cet-12751	104	41	4	4	NUM
cet-12751	104	42	y	y	NOUN
cet-12751	104	43	from	from	ADP
cet-12751	104	44	the	the	DET
cet-12751	104	45	s	s	PROPN
cet-12751	104	46	-	-	PUNCT
cet-12751	104	47	zorb	zorb	NOUN
cet-12751	104	48	refining	refining	NOUN
cet-12751	104	49	equipment	equipment	NOUN
cet-12751	104	50	of	of	ADP
cet-12751	104	51	a	a	DET
cet-12751	104	52	petrochemical	petrochemical	NOUN
cet-12751	104	53	corporation	corporation	NOUN
cet-12751	104	54	in	in	ADP
cet-12751	104	55	china	china	PROPN
cet-12751	104	56	is	be	AUX
cet-12751	104	57	collected	collect	VERB
cet-12751	104	58	for	for	ADP
cet-12751	104	59	experiments	experiment	NOUN
cet-12751	104	60	.	.	PUNCT
cet-12751	105	1	the	the	DET
cet-12751	105	2	dataset	dataset	NOUN
cet-12751	105	3	contains	contain	VERB
cet-12751	105	4	the	the	DET
cet-12751	105	5	following	follow	VERB
cet-12751	105	6	information	information	NOUN
cet-12751	105	7	:	:	PUNCT
cet-12751	105	8	7	7	NUM
cet-12751	105	9	material	material	NOUN
cet-12751	105	10	properties	property	NOUN
cet-12751	105	11	,	,	PUNCT
cet-12751	105	12	2	2	NUM
cet-12751	105	13	raw	raw	ADJ
cet-12751	105	14	adsorbent	adsorbent	NOUN
cet-12751	105	15	properties	property	NOUN
cet-12751	105	16	,	,	PUNCT
cet-12751	105	17	2	2	NUM
cet-12751	105	18	regenerated	regenerate	VERB
cet-12751	105	19	adsorbent	adsorbent	NOUN
cet-12751	105	20	properties	property	NOUN
cet-12751	105	21	,	,	PUNCT
cet-12751	105	22	2	2	NUM
cet-12751	105	23	product	product	NOUN
cet-12751	105	24	properties	property	NOUN
cet-12751	105	25	,	,	PUNCT
cet-12751	105	26	and	and	CCONJ
cet-12751	105	27	354	354	NUM
cet-12751	105	28	operation	operation	NOUN
cet-12751	105	29	parameters	parameter	NOUN
cet-12751	105	30	.	.	PUNCT
cet-12751	106	1	before	before	ADP
cet-12751	106	2	constructing	construct	VERB
cet-12751	106	3	the	the	DET
cet-12751	106	4	proposed	propose	VERB
cet-12751	106	5	framework	framework	NOUN
cet-12751	106	6	,	,	PUNCT
cet-12751	106	7	it	it	PRON
cet-12751	106	8	is	be	AUX
cet-12751	106	9	necessary	necessary	ADJ
cet-12751	106	10	to	to	PART
cet-12751	106	11	carry	carry	VERB
cet-12751	106	12	out	out	ADP
cet-12751	106	13	data	datum	NOUN
cet-12751	106	14	pre	pre	ADJ
cet-12751	106	15	-	-	NOUN
cet-12751	106	16	processing	processing	NOUN
cet-12751	106	17	,	,	PUNCT
cet-12751	106	18	which	which	PRON
cet-12751	106	19	includes	include	VERB
cet-12751	106	20	data	datum	NOUN
cet-12751	106	21	normalisation	normalisation	NOUN
cet-12751	106	22	and	and	CCONJ
cet-12751	106	23	data	datum	NOUN
cet-12751	106	24	splitting	splitting	NOUN
cet-12751	106	25	.	.	PUNCT
cet-12751	107	1	in	in	ADP
cet-12751	107	2	this	this	DET
cet-12751	107	3	paper	paper	NOUN
cet-12751	107	4	,	,	PUNCT
cet-12751	107	5	the	the	DET
cet-12751	107	6	min	min	PROPN
cet-12751	107	7	-	-	ADJ
cet-12751	107	8	max	max	PROPN
cet-12751	107	9	normalisation	normalisation	NOUN
cet-12751	107	10	method	method	NOUN
cet-12751	107	11	(	(	PUNCT
cet-12751	107	12	as	as	SCONJ
cet-12751	107	13	shown	show	VERB
cet-12751	107	14	in	in	ADP
cet-12751	107	15	eq	eq	NOUN
cet-12751	107	16	(	(	PUNCT
cet-12751	107	17	6	6	NUM
cet-12751	107	18	)	)	PUNCT
cet-12751	107	19	)	)	PUNCT
cet-12751	107	20	is	be	AUX
cet-12751	107	21	employed	employ	VERB
cet-12751	107	22	to	to	PART
cet-12751	107	23	normalised	normalise	VERB
cet-12751	107	24	the	the	DET
cet-12751	107	25	input	input	NOUN
cet-12751	107	26	data	datum	NOUN
cet-12751	107	27	to	to	ADP
cet-12751	107	28	values	value	NOUN
cet-12751	107	29	between	between	ADP
cet-12751	107	30	0	0	NUM
cet-12751	107	31	and	and	CCONJ
cet-12751	107	32	1	1	NUM
cet-12751	107	33	.	.	X
cet-12751	107	34	min	min	PROPN
cet-12751	107	35	max	max	PROPN
cet-12751	107	36	min	min	PROPN
cet-12751	108	1	i	i	PRON
cet-12751	108	2	i	i	VERB
cet-12751	108	3	x	x	VERB
cet-12751	109	1	xx	xx	NUM
cet-12751	109	2	x	x	NOUN
cet-12751	109	3	x	x	NOUN
cet-12751	109	4	−	−	NOUN
cet-12751	109	5	=	=	SYM
cet-12751	110	1	−	−	NOUN
cet-12751	110	2			NOUN
cet-12751	110	3	(	(	PUNCT
cet-12751	110	4	6	6	NUM
cet-12751	110	5	)	)	PUNCT
cet-12751	110	6	where	where	SCONJ
cet-12751	110	7	ix	ix	ADV
cet-12751	110	8	is	be	AUX
cet-12751	110	9	the	the	DET
cet-12751	110	10	input	input	ADJ
cet-12751	110	11	original	original	ADJ
cet-12751	110	12	value	value	NOUN
cet-12751	110	13	,	,	PUNCT
cet-12751	110	14	ix	ix	PROPN
cet-12751	110	15	is	be	AUX
cet-12751	110	16	the	the	DET
cet-12751	110	17	normalised	normalise	VERB
cet-12751	110	18	value	value	NOUN
cet-12751	110	19	.	.	PUNCT
cet-12751	111	1	minx	minx	PROPN
cet-12751	111	2	and	and	CCONJ
cet-12751	111	3	maxx	maxx	PROPN
cet-12751	111	4	denote	denote	VERB
cet-12751	111	5	the	the	DET
cet-12751	111	6	minimum	minimum	ADJ
cet-12751	111	7	and	and	CCONJ
cet-12751	111	8	maximum	maximum	ADJ
cet-12751	111	9	value	value	NOUN
cet-12751	111	10	of	of	ADP
cet-12751	111	11	the	the	DET
cet-12751	111	12	input	input	NOUN
cet-12751	111	13	original	original	ADJ
cet-12751	111	14	value	value	NOUN
cet-12751	111	15	.	.	PUNCT
cet-12751	112	1	after	after	ADP
cet-12751	112	2	normalising	normalise	VERB
cet-12751	112	3	the	the	DET
cet-12751	112	4	input	input	NOUN
cet-12751	112	5	data	datum	NOUN
cet-12751	112	6	,	,	PUNCT
cet-12751	112	7	the	the	DET
cet-12751	112	8	data	data	NOUN
cet-12751	112	9	splitting	splitting	NOUN
cet-12751	112	10	is	be	AUX
cet-12751	112	11	conducted	conduct	VERB
cet-12751	112	12	to	to	PART
cet-12751	112	13	ensure	ensure	VERB
cet-12751	112	14	the	the	DET
cet-12751	112	15	robustness	robustness	NOUN
cet-12751	112	16	of	of	ADP
cet-12751	112	17	the	the	DET
cet-12751	112	18	proposed	propose	VERB
cet-12751	112	19	framework	framework	NOUN
cet-12751	112	20	.	.	PUNCT
cet-12751	113	1	in	in	ADP
cet-12751	113	2	general	general	ADJ
cet-12751	113	3	,	,	PUNCT
cet-12751	113	4	the	the	DET
cet-12751	113	5	input	input	NOUN
cet-12751	113	6	data	datum	NOUN
cet-12751	113	7	will	will	AUX
cet-12751	113	8	be	be	AUX
cet-12751	113	9	divided	divide	VERB
cet-12751	113	10	into	into	ADP
cet-12751	113	11	two	two	NUM
cet-12751	113	12	data	datum	NOUN
cet-12751	113	13	sets	set	NOUN
cet-12751	113	14	,	,	PUNCT
cet-12751	113	15	namely	namely	ADV
cet-12751	113	16	,	,	PUNCT
cet-12751	113	17	80	80	NUM
cet-12751	113	18	%	%	NOUN
cet-12751	113	19	for	for	ADP
cet-12751	113	20	training	train	VERB
cet-12751	113	21	the	the	DET
cet-12751	113	22	prediction	prediction	NOUN
cet-12751	113	23	model	model	NOUN
cet-12751	113	24	(	(	PUNCT
cet-12751	113	25	260	260	NUM
cet-12751	113	26	data	datum	NOUN
cet-12751	113	27	samples	sample	NOUN
cet-12751	113	28	)	)	PUNCT
cet-12751	113	29	,	,	PUNCT
cet-12751	113	30	and	and	CCONJ
cet-12751	113	31	20	20	NUM
cet-12751	113	32	%	%	NOUN
cet-12751	113	33	for	for	ADP
cet-12751	113	34	verifying	verify	VERB
cet-12751	113	35	the	the	DET
cet-12751	113	36	prediction	prediction	NOUN
cet-12751	113	37	performance	performance	NOUN
cet-12751	113	38	after	after	SCONJ
cet-12751	113	39	the	the	DET
cet-12751	113	40	training	training	NOUN
cet-12751	113	41	process	process	NOUN
cet-12751	113	42	is	be	AUX
cet-12751	113	43	finished	finish	VERB
cet-12751	113	44	(	(	PUNCT
cet-12751	113	45	65	65	NUM
cet-12751	113	46	data	datum	NOUN
cet-12751	113	47	samples	sample	NOUN
cet-12751	113	48	)	)	PUNCT
cet-12751	113	49	.	.	PUNCT
cet-12751	114	1	to	to	PART
cet-12751	114	2	predict	predict	VERB
cet-12751	114	3	the	the	DET
cet-12751	114	4	product	product	NOUN
cet-12751	114	5	ron	ron	PROPN
cet-12751	114	6	,	,	PUNCT
cet-12751	114	7	the	the	DET
cet-12751	114	8	operation	operation	NOUN
cet-12751	114	9	variables	variable	NOUN
cet-12751	114	10	ought	ought	AUX
cet-12751	114	11	to	to	PART
cet-12751	114	12	be	be	AUX
cet-12751	114	13	analysed	analyse	VERB
cet-12751	114	14	to	to	PART
cet-12751	114	15	determine	determine	VERB
cet-12751	114	16	the	the	DET
cet-12751	114	17	main	main	ADJ
cet-12751	114	18	control	control	NOUN
cet-12751	114	19	variables	variable	NOUN
cet-12751	114	20	.	.	PUNCT
cet-12751	115	1	the	the	DET
cet-12751	115	2	pcc	pcc	NOUN
cet-12751	115	3	between	between	ADP
cet-12751	115	4	operation	operation	NOUN
cet-12751	115	5	variables	variable	NOUN
cet-12751	115	6	and	and	CCONJ
cet-12751	115	7	product	product	NOUN
cet-12751	115	8	ron	ron	PROPN
cet-12751	115	9	is	be	AUX
cet-12751	115	10	calculated	calculate	VERB
cet-12751	115	11	for	for	ADP
cet-12751	115	12	dimension	dimension	NOUN
cet-12751	115	13	reduction	reduction	NOUN
cet-12751	115	14	.	.	PUNCT
cet-12751	116	1	a	a	DET
cet-12751	116	2	total	total	NOUN
cet-12751	116	3	of	of	ADP
cet-12751	116	4	16	16	NUM
cet-12751	116	5	variables	variable	NOUN
cet-12751	116	6	with	with	ADP
cet-12751	116	7	high	high	ADJ
cet-12751	116	8	correlation	correlation	NOUN
cet-12751	116	9	(	(	PUNCT
cet-12751	116	10	pcc	pcc	NOUN
cet-12751	116	11	≥	≥	NOUN
cet-12751	116	12	0.4	0.4	NUM
cet-12751	116	13	)	)	PUNCT
cet-12751	116	14	are	be	AUX
cet-12751	116	15	selected	select	VERB
cet-12751	116	16	as	as	ADP
cet-12751	116	17	the	the	DET
cet-12751	116	18	input	input	NOUN
cet-12751	116	19	variables	variable	VERB
cet-12751	116	20	.	.	PUNCT
cet-12751	117	1	to	to	ADP
cet-12751	117	2	this	this	DET
cet-12751	117	3	end	end	NOUN
cet-12751	117	4	,	,	PUNCT
cet-12751	117	5	the	the	DET
cet-12751	117	6	input	input	NOUN
cet-12751	117	7	data	data	NOUN
cet-12751	117	8	is	be	AUX
cet-12751	117	9	prepared	prepare	VERB
cet-12751	117	10	for	for	ADP
cet-12751	117	11	model	model	NOUN
cet-12751	117	12	construction	construction	NOUN
cet-12751	117	13	.	.	PUNCT
cet-12751	118	1	3.2	3.2	NUM
cet-12751	118	2	ron	ron	PROPN
cet-12751	118	3	prediction	prediction	NOUN
cet-12751	118	4	via	via	ADP
cet-12751	118	5	the	the	DET
cet-12751	118	6	hybrid	hybrid	ADJ
cet-12751	118	7	framework	framework	NOUN
cet-12751	118	8	after	after	ADP
cet-12751	118	9	acquiring	acquire	VERB
cet-12751	118	10	the	the	DET
cet-12751	118	11	input	input	NOUN
cet-12751	118	12	data	datum	NOUN
cet-12751	118	13	for	for	ADP
cet-12751	118	14	ron	ron	PROPN
cet-12751	118	15	prediction	prediction	PROPN
cet-12751	118	16	,	,	PUNCT
cet-12751	118	17	the	the	DET
cet-12751	118	18	experiments	experiment	NOUN
cet-12751	118	19	are	be	AUX
cet-12751	118	20	conducted	conduct	VERB
cet-12751	118	21	ten	ten	NUM
cet-12751	118	22	times	time	NOUN
cet-12751	118	23	to	to	PART
cet-12751	118	24	obtain	obtain	VERB
cet-12751	118	25	the	the	DET
cet-12751	118	26	average	average	ADJ
cet-12751	118	27	predicted	predict	VERB
cet-12751	118	28	errors	error	NOUN
cet-12751	118	29	of	of	ADP
cet-12751	118	30	different	different	ADJ
cet-12751	118	31	models	model	NOUN
cet-12751	118	32	.	.	PUNCT
cet-12751	119	1	the	the	DET
cet-12751	119	2	programming	programming	NOUN
cet-12751	119	3	environment	environment	NOUN
cet-12751	119	4	of	of	ADP
cet-12751	119	5	the	the	DET
cet-12751	119	6	prediction	prediction	NOUN
cet-12751	119	7	models	model	NOUN
cet-12751	119	8	is	be	AUX
cet-12751	119	9	python	python	NOUN
cet-12751	119	10	.	.	PUNCT
cet-12751	120	1	the	the	DET
cet-12751	120	2	model	model	NOUN
cet-12751	120	3	construction	construction	NOUN
cet-12751	120	4	of	of	ADP
cet-12751	120	5	ann	ann	PROPN
cet-12751	120	6	,	,	PUNCT
cet-12751	120	7	dtr	dtr	NOUN
cet-12751	120	8	,	,	PUNCT
cet-12751	120	9	and	and	CCONJ
cet-12751	120	10	svr	svr	PROPN
cet-12751	120	11	are	be	AUX
cet-12751	120	12	optimised	optimise	VERB
cet-12751	120	13	by	by	ADP
cet-12751	120	14	the	the	DET
cet-12751	120	15	means	mean	NOUN
cet-12751	120	16	of	of	ADP
cet-12751	120	17	trial	trial	NOUN
cet-12751	120	18	and	and	CCONJ
cet-12751	120	19	errors	error	NOUN
cet-12751	120	20	.	.	PUNCT
cet-12751	121	1	for	for	ADP
cet-12751	121	2	ann	ann	PROPN
cet-12751	121	3	,	,	PUNCT
cet-12751	121	4	the	the	DET
cet-12751	121	5	number	number	NOUN
cet-12751	121	6	of	of	ADP
cet-12751	121	7	hidden	hidden	ADJ
cet-12751	121	8	layers	layer	NOUN
cet-12751	121	9	is	be	AUX
cet-12751	121	10	set	set	VERB
cet-12751	121	11	as	as	ADP
cet-12751	121	12	2	2	NUM
cet-12751	121	13	,	,	PUNCT
cet-12751	121	14	the	the	DET
cet-12751	121	15	number	number	NOUN
cet-12751	121	16	of	of	ADP
cet-12751	121	17	nodes	node	NOUN
cet-12751	121	18	is	be	AUX
cet-12751	121	19	set	set	VERB
cet-12751	121	20	as	as	ADP
cet-12751	121	21	15	15	NUM
cet-12751	121	22	,	,	PUNCT
cet-12751	121	23	20	20	NUM
cet-12751	121	24	,	,	PUNCT
cet-12751	121	25	learning	learn	VERB
cet-12751	121	26	rate	rate	NOUN
cet-12751	121	27	is	be	AUX
cet-12751	121	28	0.001	0.001	NUM
cet-12751	121	29	,	,	PUNCT
cet-12751	121	30	and	and	CCONJ
cet-12751	121	31	adam	adam	PROPN
cet-12751	121	32	optimiser	optimiser	PROPN
cet-12751	121	33	is	be	AUX
cet-12751	121	34	used	use	VERB
cet-12751	121	35	.	.	PUNCT
cet-12751	122	1	the	the	DET
cet-12751	122	2	optimal	optimal	ADJ
cet-12751	122	3	model	model	NOUN
cet-12751	122	4	constructed	construct	VERB
cet-12751	122	5	by	by	ADP
cet-12751	122	6	aml	aml	NOUN
cet-12751	122	7	technique	technique	NOUN
cet-12751	122	8	is	be	AUX
cet-12751	122	9	an	an	DET
cet-12751	122	10	ensemble	ensemble	NOUN
cet-12751	122	11	of	of	ADP
cet-12751	122	12	extreme	extreme	ADJ
cet-12751	122	13	gradient	gradient	NOUN
cet-12751	122	14	boost	boost	NOUN
cet-12751	122	15	,	,	PUNCT
cet-12751	122	16	stochastic	stochastic	ADJ
cet-12751	122	17	gradient	gradient	ADJ
cet-12751	122	18	descent	descent	NOUN
cet-12751	122	19	,	,	PUNCT
cet-12751	122	20	and	and	CCONJ
cet-12751	122	21	k	k	X
cet-12751	122	22	-	-	NOUN
cet-12751	122	23	neighbour	neighbour	NOUN
cet-12751	122	24	.	.	PUNCT
cet-12751	123	1	the	the	DET
cet-12751	123	2	predicted	predict	VERB
cet-12751	123	3	errors	error	NOUN
cet-12751	123	4	of	of	ADP
cet-12751	123	5	different	different	ADJ
cet-12751	123	6	models	model	NOUN
cet-12751	123	7	are	be	AUX
cet-12751	123	8	shown	show	VERB
cet-12751	123	9	in	in	ADP
cet-12751	123	10	table	table	NOUN
cet-12751	123	11	1	1	NUM
cet-12751	123	12	.	.	PUNCT
cet-12751	123	13	by	by	ADP
cet-12751	123	14	comparing	compare	VERB
cet-12751	123	15	the	the	DET
cet-12751	123	16	results	result	NOUN
cet-12751	123	17	predicted	predict	VERB
cet-12751	123	18	by	by	ADP
cet-12751	123	19	svr	svr	PROPN
cet-12751	123	20	and	and	CCONJ
cet-12751	123	21	dtr	dtr	PROPN
cet-12751	123	22	,	,	PUNCT
cet-12751	123	23	it	it	PRON
cet-12751	123	24	can	can	AUX
cet-12751	123	25	be	be	AUX
cet-12751	123	26	determined	determine	VERB
cet-12751	123	27	that	that	SCONJ
cet-12751	123	28	the	the	DET
cet-12751	123	29	dtr	dtr	NOUN
cet-12751	123	30	obtains	obtain	VERB
cet-12751	123	31	the	the	DET
cet-12751	123	32	worst	bad	ADJ
cet-12751	123	33	prediction	prediction	NOUN
cet-12751	123	34	performance	performance	NOUN
cet-12751	123	35	and	and	CCONJ
cet-12751	123	36	the	the	DET
cet-12751	123	37	highest	high	ADJ
cet-12751	123	38	predicted	predict	VERB
cet-12751	123	39	errors	error	NOUN
cet-12751	123	40	.	.	PUNCT
cet-12751	124	1	it	it	PRON
cet-12751	124	2	is	be	AUX
cet-12751	124	3	suggested	suggest	VERB
cet-12751	124	4	that	that	SCONJ
cet-12751	124	5	the	the	DET
cet-12751	124	6	dtr	dtr	NOUN
cet-12751	124	7	is	be	AUX
cet-12751	124	8	not	not	PART
cet-12751	124	9	suitable	suitable	ADJ
cet-12751	124	10	for	for	ADP
cet-12751	124	11	ron	ron	PROPN
cet-12751	124	12	prediction	prediction	NOUN
cet-12751	124	13	.	.	PUNCT
cet-12751	125	1	from	from	ADP
cet-12751	125	2	the	the	DET
cet-12751	125	3	ron	ron	PROPN
cet-12751	125	4	curves	curve	NOUN
cet-12751	125	5	shown	show	VERB
cet-12751	125	6	in	in	ADP
cet-12751	125	7	figure	figure	NOUN
cet-12751	125	8	2	2	NUM
cet-12751	125	9	,	,	PUNCT
cet-12751	125	10	it	it	PRON
cet-12751	125	11	can	can	AUX
cet-12751	125	12	be	be	AUX
cet-12751	125	13	seen	see	VERB
cet-12751	125	14	that	that	SCONJ
cet-12751	125	15	the	the	DET
cet-12751	125	16	ron	ron	PROPN
cet-12751	125	17	predicted	predict	VERB
cet-12751	125	18	by	by	ADP
cet-12751	125	19	ann	ann	PROPN
cet-12751	125	20	are	be	AUX
cet-12751	125	21	closer	close	ADJ
cet-12751	125	22	to	to	ADP
cet-12751	125	23	the	the	DET
cet-12751	125	24	observed	observed	ADJ
cet-12751	125	25	ron	ron	PROPN
cet-12751	125	26	,	,	PUNCT
cet-12751	125	27	and	and	CCONJ
cet-12751	125	28	the	the	DET
cet-12751	125	29	predicted	predict	VERB
cet-12751	125	30	errors	error	NOUN
cet-12751	125	31	of	of	ADP
cet-12751	125	32	ann	ann	PROPN
cet-12751	125	33	are	be	AUX
cet-12751	125	34	lower	low	ADJ
cet-12751	125	35	than	than	ADP
cet-12751	125	36	that	that	PRON
cet-12751	125	37	of	of	ADP
cet-12751	125	38	svr	svr	PROPN
cet-12751	125	39	.	.	PUNCT
cet-12751	126	1	the	the	DET
cet-12751	126	2	proposed	propose	VERB
cet-12751	126	3	ron	ron	PROPN
cet-12751	126	4	prediction	prediction	NOUN
cet-12751	126	5	method	method	NOUN
cet-12751	126	6	constructs	construct	VERB
cet-12751	126	7	the	the	DET
cet-12751	126	8	model	model	NOUN
cet-12751	126	9	automatically	automatically	ADV
cet-12751	126	10	,	,	PUNCT
cet-12751	126	11	and	and	CCONJ
cet-12751	126	12	the	the	DET
cet-12751	126	13	model	model	NOUN
cet-12751	126	14	parameters	parameter	NOUN
cet-12751	126	15	are	be	AUX
cet-12751	126	16	optimised	optimise	VERB
cet-12751	126	17	by	by	ADP
cet-12751	126	18	using	use	VERB
cet-12751	126	19	genetic	genetic	ADJ
cet-12751	126	20	programming	programming	NOUN
cet-12751	126	21	.	.	PUNCT
cet-12751	127	1	this	this	PRON
cet-12751	127	2	not	not	PART
cet-12751	127	3	only	only	ADV
cet-12751	127	4	reduces	reduce	VERB
cet-12751	127	5	the	the	DET
cet-12751	127	6	time	time	NOUN
cet-12751	127	7	cost	cost	NOUN
cet-12751	127	8	in	in	ADP
cet-12751	127	9	feature	feature	NOUN
cet-12751	127	10	engineering	engineering	NOUN
cet-12751	127	11	and	and	CCONJ
cet-12751	127	12	parameters	parameter	NOUN
cet-12751	127	13	optimisation	optimisation	NOUN
cet-12751	127	14	,	,	PUNCT
cet-12751	127	15	also	also	ADV
cet-12751	127	16	provides	provide	VERB
cet-12751	127	17	better	well	ADJ
cet-12751	127	18	performance	performance	NOUN
cet-12751	127	19	to	to	ADP
cet-12751	127	20	the	the	DET
cet-12751	127	21	proposed	propose	VERB
cet-12751	127	22	model	model	NOUN
cet-12751	127	23	,	,	PUNCT
cet-12751	127	24	which	which	PRON
cet-12751	127	25	acquires	acquire	VERB
cet-12751	127	26	the	the	DET
cet-12751	127	27	lowest	low	ADJ
cet-12751	127	28	predicted	predict	VERB
cet-12751	127	29	errors	error	NOUN
cet-12751	127	30	compared	compare	VERB
cet-12751	127	31	to	to	ADP
cet-12751	127	32	other	other	ADJ
cet-12751	127	33	machine	machine	NOUN
cet-12751	127	34	learning	learning	NOUN
cet-12751	127	35	models	model	NOUN
cet-12751	127	36	and	and	CCONJ
cet-12751	127	37	previous	previous	ADJ
cet-12751	127	38	work	work	NOUN
cet-12751	127	39	.	.	PUNCT
cet-12751	128	1	the	the	DET
cet-12751	128	2	ron	ron	PROPN
cet-12751	128	3	results	result	NOUN
cet-12751	128	4	predicted	predict	VERB
cet-12751	128	5	by	by	ADP
cet-12751	128	6	the	the	DET
cet-12751	128	7	proposed	propose	VERB
cet-12751	128	8	model	model	NOUN
cet-12751	128	9	are	be	AUX
cet-12751	128	10	much	much	ADV
cet-12751	128	11	closer	close	ADJ
cet-12751	128	12	than	than	ADP
cet-12751	128	13	that	that	PRON
cet-12751	128	14	of	of	ADP
cet-12751	128	15	other	other	ADJ
cet-12751	128	16	comparative	comparative	ADJ
cet-12751	128	17	models	model	NOUN
cet-12751	128	18	.	.	PUNCT
cet-12751	129	1	1168	1168	NUM
cet-12751	129	2	figure	figure	NOUN
cet-12751	129	3	2	2	NUM
cet-12751	129	4	:	:	PUNCT
cet-12751	129	5	the	the	DET
cet-12751	129	6	prediction	prediction	NOUN
cet-12751	129	7	results	result	NOUN
cet-12751	129	8	of	of	ADP
cet-12751	129	9	different	different	ADJ
cet-12751	129	10	models	model	NOUN
cet-12751	129	11	table	table	VERB
cet-12751	129	12	1	1	NUM
cet-12751	129	13	:	:	PUNCT
cet-12751	129	14	the	the	DET
cet-12751	129	15	predicted	predict	VERB
cet-12751	129	16	errors	error	NOUN
cet-12751	129	17	of	of	ADP
cet-12751	129	18	different	different	ADJ
cet-12751	129	19	models	model	NOUN
cet-12751	129	20	metrics	metric	NOUN
cet-12751	129	21	aml	aml	PROPN
cet-12751	129	22	ann	ann	PROPN
cet-12751	129	23	svr	svr	PROPN
cet-12751	129	24	dtr	dtr	VERB
cet-12751	129	25	previous	previous	ADJ
cet-12751	129	26	work	work	NOUN
cet-12751	129	27	(	(	PUNCT
cet-12751	129	28	li	li	PROPN
cet-12751	129	29	and	and	CCONJ
cet-12751	129	30	qin	qin	PROPN
cet-12751	129	31	,	,	PUNCT
cet-12751	129	32	2021	2021	NUM
cet-12751	129	33	)	)	PUNCT
cet-12751	129	34	mape	mape	NOUN
cet-12751	129	35	/	/	SYM
cet-12751	129	36	%	%	NOUN
cet-12751	129	37	0.207	0.207	NUM
cet-12751	129	38	0.310	0.310	NUM
cet-12751	129	39	0.328	0.328	NUM
cet-12751	129	40	0.347	0.347	NUM
cet-12751	129	41	0.305	0.305	NUM
cet-12751	129	42	rmse	rmse	NOUN
cet-12751	130	1	0.225	0.225	NUM
cet-12751	130	2	0.344	0.344	NUM
cet-12751	130	3	0.390	0.390	NUM
cet-12751	130	4	0.374	0.374	NUM
cet-12751	130	5	0.335	0.335	NUM
cet-12751	130	6	mae	mae	PROPN
cet-12751	130	7	0.175	0.175	NUM
cet-12751	130	8	0.274	0.274	NUM
cet-12751	130	9	0.290	0.290	NUM
cet-12751	130	10	0.307	0.307	NUM
cet-12751	130	11	𝑅𝑅2	𝑅𝑅2	PROPN
cet-12751	130	12	0.934	0.934	NUM
cet-12751	130	13	0.785	0.785	NUM
cet-12751	130	14	0.445	0.445	NUM
cet-12751	130	15	0.258	0.258	NUM
cet-12751	130	16	0.860	0.860	NUM
cet-12751	130	17	3.3	3.3	NUM
cet-12751	130	18	parameters	parameter	NOUN
cet-12751	130	19	optimisation	optimisation	NOUN
cet-12751	130	20	for	for	ADP
cet-12751	130	21	increasing	increase	VERB
cet-12751	130	22	product	product	NOUN
cet-12751	130	23	ron	ron	NOUN
cet-12751	130	24	the	the	DET
cet-12751	130	25	decrease	decrease	NOUN
cet-12751	130	26	in	in	ADP
cet-12751	130	27	product	product	NOUN
cet-12751	130	28	ron	ron	PROPN
cet-12751	130	29	brings	bring	VERB
cet-12751	130	30	economic	economic	ADJ
cet-12751	130	31	loss	loss	NOUN
cet-12751	130	32	and	and	CCONJ
cet-12751	130	33	reduces	reduce	VERB
cet-12751	130	34	the	the	DET
cet-12751	130	35	combustion	combustion	NOUN
cet-12751	130	36	performance	performance	NOUN
cet-12751	130	37	.	.	PUNCT
cet-12751	131	1	to	to	PART
cet-12751	131	2	improve	improve	VERB
cet-12751	131	3	the	the	DET
cet-12751	131	4	product	product	NOUN
cet-12751	131	5	ron	ron	PROPN
cet-12751	131	6	,	,	PUNCT
cet-12751	131	7	the	the	DET
cet-12751	131	8	control	control	NOUN
cet-12751	131	9	variables	variable	NOUN
cet-12751	131	10	are	be	AUX
cet-12751	131	11	adjusted	adjust	VERB
cet-12751	131	12	to	to	PART
cet-12751	131	13	increase	increase	VERB
cet-12751	131	14	product	product	NOUN
cet-12751	131	15	ron	ron	PROPN
cet-12751	131	16	.	.	PUNCT
cet-12751	132	1	at	at	ADP
cet-12751	132	2	first	first	ADV
cet-12751	132	3	,	,	PUNCT
cet-12751	132	4	the	the	DET
cet-12751	132	5	original	original	ADJ
cet-12751	132	6	values	value	NOUN
cet-12751	132	7	of	of	ADP
cet-12751	132	8	control	control	NOUN
cet-12751	132	9	variables	variable	NOUN
cet-12751	132	10	are	be	AUX
cet-12751	132	11	used	use	VERB
cet-12751	132	12	to	to	PART
cet-12751	132	13	initialise	initialise	VERB
cet-12751	132	14	the	the	DET
cet-12751	132	15	particle	particle	NOUN
cet-12751	132	16	swarm	swarm	NOUN
cet-12751	132	17	,	,	PUNCT
cet-12751	132	18	and	and	CCONJ
cet-12751	132	19	the	the	DET
cet-12751	132	20	percentage	percentage	NOUN
cet-12751	132	21	of	of	ADP
cet-12751	132	22	ron	ron	PROPN
cet-12751	132	23	loss	loss	NOUN
cet-12751	132	24	reduction	reduction	NOUN
cet-12751	132	25	(	(	PUNCT
cet-12751	132	26	as	as	SCONJ
cet-12751	132	27	shown	show	VERB
cet-12751	132	28	in	in	ADP
cet-12751	132	29	eq	eq	NOUN
cet-12751	132	30	(	(	PUNCT
cet-12751	132	31	7	7	NUM
cet-12751	132	32	)	)	PUNCT
cet-12751	132	33	)	)	PUNCT
cet-12751	132	34	is	be	AUX
cet-12751	132	35	set	set	VERB
cet-12751	132	36	to	to	PART
cet-12751	132	37	optimise	optimise	VERB
cet-12751	132	38	the	the	DET
cet-12751	132	39	control	control	NOUN
cet-12751	132	40	variables	variable	NOUN
cet-12751	132	41	.	.	PUNCT
cet-12751	133	1	the	the	DET
cet-12751	133	2	experimental	experimental	ADJ
cet-12751	133	3	results	result	NOUN
cet-12751	133	4	of	of	ADP
cet-12751	133	5	the	the	DET
cet-12751	133	6	three	three	NUM
cet-12751	133	7	cases	case	NOUN
cet-12751	133	8	are	be	AUX
cet-12751	133	9	depicted	depict	VERB
cet-12751	133	10	in	in	ADP
cet-12751	133	11	figure	figure	NOUN
cet-12751	133	12	3	3	NUM
cet-12751	133	13	and	and	CCONJ
cet-12751	133	14	table	table	NOUN
cet-12751	133	15	2	2	NUM
cet-12751	133	16	.	.	PUNCT
cet-12751	134	1	for	for	ADP
cet-12751	134	2	case	case	NOUN
cet-12751	134	3	a	a	X
cet-12751	134	4	,	,	PUNCT
cet-12751	134	5	the	the	DET
cet-12751	134	6	original	original	ADJ
cet-12751	134	7	value	value	NOUN
cet-12751	134	8	of	of	ADP
cet-12751	134	9	product	product	NOUN
cet-12751	134	10	ron	ron	PROPN
cet-12751	134	11	is	be	AUX
cet-12751	134	12	88.65	88.65	NUM
cet-12751	134	13	.	.	PUNCT
cet-12751	135	1	to	to	PART
cet-12751	135	2	increase	increase	VERB
cet-12751	135	3	the	the	DET
cet-12751	135	4	product	product	NOUN
cet-12751	135	5	ron	ron	PROPN
cet-12751	135	6	,	,	PUNCT
cet-12751	135	7	the	the	DET
cet-12751	135	8	reduction	reduction	NOUN
cet-12751	135	9	percentage	percentage	NOUN
cet-12751	135	10	is	be	AUX
cet-12751	135	11	set	set	VERB
cet-12751	135	12	as	as	ADP
cet-12751	135	13	40	40	NUM
cet-12751	135	14	%	%	NOUN
cet-12751	135	15	to	to	PART
cet-12751	135	16	obtain	obtain	VERB
cet-12751	135	17	the	the	DET
cet-12751	135	18	expected	expect	VERB
cet-12751	135	19	optimised	optimise	VERB
cet-12751	135	20	ron	ron	PROPN
cet-12751	135	21	,	,	PUNCT
cet-12751	135	22	as	as	SCONJ
cet-12751	135	23	shown	show	VERB
cet-12751	135	24	in	in	ADP
cet-12751	135	25	eq	eq	PROPN
cet-12751	135	26	(	(	PUNCT
cet-12751	135	27	8)	8)	NUM
cet-12751	135	28	.	.	PUNCT
cet-12751	135	29	with	with	ADP
cet-12751	135	30	the	the	DET
cet-12751	135	31	optimisation	optimisation	NOUN
cet-12751	135	32	of	of	ADP
cet-12751	135	33	operation	operation	NOUN
cet-12751	135	34	variables	variable	NOUN
cet-12751	135	35	,	,	PUNCT
cet-12751	135	36	the	the	DET
cet-12751	135	37	product	product	NOUN
cet-12751	135	38	ron	ron	PROPN
cet-12751	135	39	is	be	AUX
cet-12751	135	40	increasing	increase	VERB
cet-12751	135	41	gradually	gradually	ADV
cet-12751	135	42	.	.	PUNCT
cet-12751	136	1	when	when	SCONJ
cet-12751	136	2	the	the	DET
cet-12751	136	3	objective	objective	ADJ
cet-12751	136	4	function	function	NOUN
cet-12751	136	5	tends	tend	VERB
cet-12751	136	6	to	to	PART
cet-12751	136	7	converge	converge	VERB
cet-12751	136	8	,	,	PUNCT
cet-12751	136	9	the	the	DET
cet-12751	136	10	optimised	optimise	VERB
cet-12751	136	11	product	product	NOUN
cet-12751	136	12	ron	ron	PROPN
cet-12751	136	13	is	be	AUX
cet-12751	136	14	obtained	obtain	VERB
cet-12751	136	15	.	.	PUNCT
cet-12751	137	1	similar	similar	ADJ
cet-12751	137	2	to	to	PART
cet-12751	137	3	case	case	VERB
cet-12751	137	4	a	a	PRON
cet-12751	137	5	,	,	PUNCT
cet-12751	137	6	the	the	DET
cet-12751	137	7	experiments	experiment	NOUN
cet-12751	137	8	of	of	ADP
cet-12751	137	9	cases	case	NOUN
cet-12751	137	10	b	b	NOUN
cet-12751	137	11	and	and	CCONJ
cet-12751	137	12	c	c	PROPN
cet-12751	137	13	set	set	VERB
cet-12751	137	14	the	the	DET
cet-12751	137	15	product	product	NOUN
cet-12751	137	16	ron	ron	NOUN
cet-12751	137	17	reduction	reduction	NOUN
cet-12751	137	18	as	as	ADP
cet-12751	137	19	50	50	NUM
cet-12751	137	20	%	%	NOUN
cet-12751	137	21	and	and	CCONJ
cet-12751	137	22	60	60	NUM
cet-12751	137	23	%	%	NOUN
cet-12751	137	24	.	.	PUNCT
cet-12751	138	1	the	the	DET
cet-12751	138	2	comparisons	comparison	NOUN
cet-12751	138	3	of	of	ADP
cet-12751	138	4	original	original	ADJ
cet-12751	138	5	values	value	NOUN
cet-12751	138	6	and	and	CCONJ
cet-12751	138	7	optimised	optimise	VERB
cet-12751	138	8	values	value	NOUN
cet-12751	138	9	are	be	AUX
cet-12751	138	10	shown	show	VERB
cet-12751	138	11	in	in	ADP
cet-12751	138	12	table	table	NOUN
cet-12751	138	13	2	2	NUM
cet-12751	138	14	.	.	PUNCT
cet-12751	139	1	each	each	DET
cet-12751	139	2	operation	operation	NOUN
cet-12751	139	3	variable	variable	NOUN
cet-12751	139	4	is	be	AUX
cet-12751	139	5	adjusted	adjust	VERB
cet-12751	139	6	within	within	ADP
cet-12751	139	7	its	its	PRON
cet-12751	139	8	corresponding	correspond	VERB
cet-12751	139	9	value	value	NOUN
cet-12751	139	10	range	range	NOUN
cet-12751	139	11	.	.	PUNCT
cet-12751	140	1	through	through	ADP
cet-12751	140	2	the	the	DET
cet-12751	140	3	parameter	parameter	NOUN
cet-12751	140	4	optimisation	optimisation	NOUN
cet-12751	140	5	process	process	NOUN
cet-12751	140	6	,	,	PUNCT
cet-12751	140	7	the	the	DET
cet-12751	140	8	operation	operation	NOUN
cet-12751	140	9	variables	variable	NOUN
cet-12751	140	10	are	be	AUX
cet-12751	140	11	optimised	optimise	VERB
cet-12751	140	12	to	to	PART
cet-12751	140	13	increase	increase	VERB
cet-12751	140	14	the	the	DET
cet-12751	140	15	product	product	NOUN
cet-12751	140	16	ron	ron	PROPN
cet-12751	140	17	.	.	PROPN
cet-12751	140	18	optimised	optimise	VERB
cet-12751	140	19	product	product	NOUN
cet-12751	140	20	material	material	NOUN
cet-12751	140	21	product	product	NOUN
cet-12751	141	1	ron	ron	PROPN
cet-12751	141	2	ron	ron	PROPN
cet-12751	141	3	reduction	reduction	PROPN
cet-12751	141	4	ron	ron	PROPN
cet-12751	141	5	ron	ron	PROPN
cet-12751	141	6	−	−	PROPN
cet-12751	141	7	=	=	SYM
cet-12751	141	8	−	−	PROPN
cet-12751	141	9	(	(	PUNCT
cet-12751	141	10	7	7	NUM
cet-12751	141	11	)	)	PUNCT
cet-12751	141	12	min	min	NOUN
cet-12751	141	13	(	(	PUNCT
cet-12751	141	14	)	)	PUNCT
cet-12751	141	15	optimised	optimise	VERB
cet-12751	141	16	expectedobjective	expectedobjective	ADJ
cet-12751	141	17	function	function	NOUN
cet-12751	141	18	ron	ron	PROPN
cet-12751	141	19	ron=	ron=	VERB
cet-12751	141	20	−	−	PROPN
cet-12751	141	21	(	(	PUNCT
cet-12751	141	22	8)	8)	NUM
cet-12751	141	23	where	where	SCONJ
cet-12751	141	24	𝑅𝑅𝑅𝑅𝑁𝑁𝑙𝑙𝑝𝑝𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑙𝑙𝑚𝑚𝑝𝑝	𝑅𝑅𝑅𝑅𝑁𝑁𝑙𝑙𝑝𝑝𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑚𝑙𝑙𝑚𝑚𝑝𝑝	NOUN
cet-12751	141	25	is	be	AUX
cet-12751	141	26	the	the	DET
cet-12751	141	27	optimised	optimise	VERB
cet-12751	141	28	product	product	NOUN
cet-12751	141	29	ron	ron	PROPN
cet-12751	141	30	.	.	PUNCT
cet-12751	142	1	𝑅𝑅𝑅𝑅𝑁𝑁𝑚𝑚𝑒𝑒𝑝𝑝𝑚𝑚𝑝𝑝𝑚𝑚𝑚𝑚𝑝𝑝	𝑅𝑅𝑅𝑅𝑁𝑁𝑚𝑚𝑒𝑒𝑝𝑝𝑚𝑚𝑝𝑝𝑚𝑚𝑚𝑚𝑝𝑝	PROPN
cet-12751	142	2	is	be	AUX
cet-12751	142	3	the	the	DET
cet-12751	142	4	expected	expect	VERB
cet-12751	142	5	optimised	optimise	VERB
cet-12751	142	6	product	product	NOUN
cet-12751	142	7	ron	ron	PROPN
cet-12751	142	8	.	.	PROPN
cet-12751	142	9	figure	figure	NOUN
cet-12751	142	10	3	3	NUM
cet-12751	142	11	:	:	PUNCT
cet-12751	142	12	the	the	DET
cet-12751	142	13	iteration	iteration	NOUN
cet-12751	142	14	curves	curve	NOUN
cet-12751	142	15	of	of	ADP
cet-12751	142	16	product	product	NOUN
cet-12751	142	17	ron	ron	PROPN
cet-12751	142	18	for	for	ADP
cet-12751	142	19	these	these	DET
cet-12751	142	20	three	three	NUM
cet-12751	142	21	cases	case	NOUN
cet-12751	142	22	4	4	NUM
cet-12751	142	23	.	.	PUNCT
cet-12751	142	24	conclusions	conclusion	NOUN
cet-12751	142	25	the	the	DET
cet-12751	142	26	accurate	accurate	ADJ
cet-12751	142	27	and	and	CCONJ
cet-12751	142	28	efficient	efficient	ADJ
cet-12751	142	29	intelligent	intelligent	ADJ
cet-12751	142	30	model	model	NOUN
cet-12751	142	31	for	for	ADP
cet-12751	142	32	petrochemical	petrochemical	NOUN
cet-12751	142	33	refining	refining	NOUN
cet-12751	142	34	process	process	NOUN
cet-12751	142	35	analysing	analysing	NOUN
cet-12751	142	36	is	be	AUX
cet-12751	142	37	of	of	ADP
cet-12751	142	38	great	great	ADJ
cet-12751	142	39	significance	significance	NOUN
cet-12751	142	40	for	for	ADP
cet-12751	142	41	improving	improve	VERB
cet-12751	142	42	the	the	DET
cet-12751	142	43	combustion	combustion	NOUN
cet-12751	142	44	performance	performance	NOUN
cet-12751	142	45	and	and	CCONJ
cet-12751	142	46	reducing	reduce	VERB
cet-12751	142	47	pollutant	pollutant	ADJ
cet-12751	142	48	emissions	emission	NOUN
cet-12751	142	49	.	.	PUNCT
cet-12751	143	1	this	this	DET
cet-12751	143	2	paper	paper	NOUN
cet-12751	143	3	proposes	propose	VERB
cet-12751	143	4	a	a	DET
cet-12751	143	5	novel	novel	ADJ
cet-12751	143	6	intelligent	intelligent	ADJ
cet-12751	143	7	framework	framework	NOUN
cet-12751	143	8	for	for	ADP
cet-12751	143	9	ron	ron	PROPN
cet-12751	143	10	prediction	prediction	NOUN
cet-12751	143	11	of	of	ADP
cet-12751	143	12	refining	refining	NOUN
cet-12751	143	13	products	product	NOUN
cet-12751	143	14	and	and	CCONJ
cet-12751	143	15	increasing	increase	VERB
cet-12751	143	16	product	product	NOUN
cet-12751	143	17	ron	ron	X
cet-12751	143	18	by	by	ADP
cet-12751	143	19	optimising	optimise	VERB
cet-12751	143	20	operation	operation	NOUN
cet-12751	143	21	parameters	parameter	NOUN
cet-12751	143	22	.	.	PUNCT
cet-12751	144	1	the	the	DET
cet-12751	144	2	proposed	propose	VERB
cet-12751	144	3	framework	framework	NOUN
cet-12751	144	4	overcomes	overcome	VERB
cet-12751	144	5	the	the	DET
cet-12751	144	6	shortcoming	shortcoming	NOUN
cet-12751	144	7	of	of	ADP
cet-12751	144	8	conventional	conventional	ADJ
cet-12751	144	9	prediction	prediction	NOUN
cet-12751	144	10	methods	method	NOUN
cet-12751	144	11	which	which	PRON
cet-12751	144	12	are	be	AUX
cet-12751	144	13	time	time	NOUN
cet-12751	144	14	-	-	PUNCT
cet-12751	144	15	consuming	consume	VERB
cet-12751	144	16	and	and	CCONJ
cet-12751	144	17	have	have	VERB
cet-12751	144	18	poor	poor	ADJ
cet-12751	144	19	accuracy	accuracy	NOUN
cet-12751	144	20	in	in	ADP
cet-12751	144	21	manual	manual	ADJ
cet-12751	144	22	optimisation	optimisation	NOUN
cet-12751	144	23	and	and	CCONJ
cet-12751	144	24	fills	fill	VERB
cet-12751	144	25	the	the	DET
cet-12751	144	26	gap	gap	NOUN
cet-12751	144	27	in	in	ADP
cet-12751	144	28	operation	operation	NOUN
cet-12751	144	29	1169	1169	NUM
cet-12751	144	30	parameters	parameter	NOUN
cet-12751	144	31	optimisation	optimisation	NOUN
cet-12751	144	32	.	.	PUNCT
cet-12751	145	1	compared	compare	VERB
cet-12751	145	2	to	to	ADP
cet-12751	145	3	other	other	ADJ
cet-12751	145	4	advanced	advanced	ADJ
cet-12751	145	5	models	model	NOUN
cet-12751	145	6	,	,	PUNCT
cet-12751	145	7	such	such	ADJ
cet-12751	145	8	as	as	ADP
cet-12751	145	9	ann	ann	PROPN
cet-12751	145	10	,	,	PUNCT
cet-12751	145	11	svr	svr	PROPN
cet-12751	145	12	,	,	PUNCT
cet-12751	145	13	and	and	CCONJ
cet-12751	145	14	dtr	dtr	X
cet-12751	145	15	,	,	PUNCT
cet-12751	145	16	the	the	DET
cet-12751	145	17	proposed	propose	VERB
cet-12751	145	18	framework	framework	NOUN
cet-12751	145	19	achieves	achieve	VERB
cet-12751	145	20	better	well	ADJ
cet-12751	145	21	prediction	prediction	NOUN
cet-12751	145	22	results	result	NOUN
cet-12751	145	23	,	,	PUNCT
cet-12751	145	24	with	with	ADP
cet-12751	145	25	mape	mape	NOUN
cet-12751	145	26	being	be	AUX
cet-12751	145	27	0.207	0.207	NUM
cet-12751	145	28	%	%	NOUN
cet-12751	145	29	.	.	PUNCT
cet-12751	146	1	through	through	ADP
cet-12751	146	2	the	the	DET
cet-12751	146	3	iterative	iterative	ADJ
cet-12751	146	4	optimisation	optimisation	NOUN
cet-12751	146	5	of	of	ADP
cet-12751	146	6	intelligent	intelligent	ADJ
cet-12751	146	7	algorithms	algorithm	NOUN
cet-12751	146	8	,	,	PUNCT
cet-12751	146	9	the	the	DET
cet-12751	146	10	ron	ron	PROPN
cet-12751	146	11	loss	loss	NOUN
cet-12751	146	12	reductions	reduction	NOUN
cet-12751	146	13	of	of	ADP
cet-12751	146	14	three	three	NUM
cet-12751	146	15	cases	case	NOUN
cet-12751	146	16	are	be	AUX
cet-12751	146	17	improved	improve	VERB
cet-12751	146	18	by	by	ADP
cet-12751	146	19	at	at	ADV
cet-12751	146	20	least	least	ADV
cet-12751	146	21	40	40	NUM
cet-12751	146	22	%	%	NOUN
cet-12751	146	23	higher	high	ADJ
cet-12751	146	24	.	.	PUNCT
cet-12751	147	1	applied	apply	VERB
cet-12751	147	2	in	in	ADP
cet-12751	147	3	the	the	DET
cet-12751	147	4	industrial	industrial	ADJ
cet-12751	147	5	process	process	NOUN
cet-12751	147	6	of	of	ADP
cet-12751	147	7	gasoline	gasoline	NOUN
cet-12751	147	8	refining	refining	NOUN
cet-12751	147	9	,	,	PUNCT
cet-12751	147	10	the	the	DET
cet-12751	147	11	proposed	propose	VERB
cet-12751	147	12	method	method	NOUN
cet-12751	147	13	can	can	AUX
cet-12751	147	14	estimate	estimate	VERB
cet-12751	147	15	the	the	DET
cet-12751	147	16	product	product	NOUN
cet-12751	147	17	ron	ron	PROPN
cet-12751	147	18	in	in	ADP
cet-12751	147	19	real	real	ADJ
cet-12751	147	20	-	-	PUNCT
cet-12751	147	21	time	time	NOUN
cet-12751	147	22	accurately	accurately	ADV
cet-12751	147	23	.	.	PUNCT
cet-12751	148	1	to	to	PART
cet-12751	148	2	further	far	ADV
cet-12751	148	3	improve	improve	VERB
cet-12751	148	4	the	the	DET
cet-12751	148	5	economic	economic	ADJ
cet-12751	148	6	efficiency	efficiency	NOUN
cet-12751	148	7	and	and	CCONJ
cet-12751	148	8	combustion	combustion	NOUN
cet-12751	148	9	performance	performance	NOUN
cet-12751	148	10	,	,	PUNCT
cet-12751	148	11	the	the	DET
cet-12751	148	12	operators	operator	NOUN
cet-12751	148	13	can	can	AUX
cet-12751	148	14	employ	employ	VERB
cet-12751	148	15	the	the	DET
cet-12751	148	16	proposed	propose	VERB
cet-12751	148	17	framework	framework	NOUN
cet-12751	148	18	to	to	PART
cet-12751	148	19	increase	increase	VERB
cet-12751	148	20	product	product	NOUN
cet-12751	148	21	ron	ron	PROPN
cet-12751	148	22	.	.	PROPN
cet-12751	148	23	table	table	NOUN
cet-12751	148	24	2	2	NUM
cet-12751	148	25	:	:	PUNCT
cet-12751	148	26	the	the	DET
cet-12751	148	27	optimisation	optimisation	NOUN
cet-12751	148	28	results	result	NOUN
cet-12751	148	29	of	of	ADP
cet-12751	148	30	model	model	NOUN
cet-12751	148	31	variables	variable	NOUN
cet-12751	148	32	model	model	NOUN
cet-12751	148	33	variables	variables	PROPN
cet-12751	148	34	case	case	NOUN
cet-12751	148	35	a	a	DET
cet-12751	148	36	case	case	NOUN
cet-12751	148	37	b	b	NOUN
cet-12751	148	38	case	case	NOUN
cet-12751	148	39	c	c	ADP
cet-12751	148	40	original	original	ADJ
cet-12751	148	41	values	value	NOUN
cet-12751	148	42	optimal	optimal	ADJ
cet-12751	148	43	values	value	NOUN
cet-12751	148	44	original	original	ADJ
cet-12751	148	45	values	value	NOUN
cet-12751	148	46	optimal	optimal	ADJ
cet-12751	148	47	values	value	NOUN
cet-12751	148	48	original	original	ADJ
cet-12751	148	49	values	value	NOUN
cet-12751	148	50	optimal	optimal	ADJ
cet-12751	148	51	values	value	NOUN
cet-12751	148	52	operation	operation	NOUN
cet-12751	148	53	variables	variable	VERB
cet-12751	148	54	s-zorb.fc_1203.pv	s-zorb.fc_1203.pv	ADP
cet-12751	148	55	9.86	9.86	NUM
cet-12751	148	56	(	(	PUNCT
cet-12751	148	57	t	t	PROPN
cet-12751	148	58	/	/	SYM
cet-12751	148	59	h	h	NOUN
cet-12751	148	60	)	)	PUNCT
cet-12751	148	61	11.22	11.22	NUM
cet-12751	148	62	(	(	PUNCT
cet-12751	148	63	t	t	PROPN
cet-12751	148	64	/	/	SYM
cet-12751	148	65	h	h	NOUN
cet-12751	148	66	)	)	PUNCT
cet-12751	148	67	10.41	10.41	NUM
cet-12751	148	68	(	(	PUNCT
cet-12751	148	69	t	t	PROPN
cet-12751	148	70	/	/	SYM
cet-12751	148	71	h	h	NOUN
cet-12751	148	72	)	)	PUNCT
cet-12751	148	73	13.02	13.02	NUM
cet-12751	148	74	(	(	PUNCT
cet-12751	148	75	t	t	PROPN
cet-12751	148	76	/	/	SYM
cet-12751	148	77	h	h	NOUN
cet-12751	148	78	)	)	PUNCT
cet-12751	148	79	10.00	10.00	NUM
cet-12751	148	80	(	(	PUNCT
cet-12751	148	81	t	t	NOUN
cet-12751	148	82	/	/	SYM
cet-12751	148	83	h	h	NOUN
cet-12751	148	84	)	)	PUNCT
cet-12751	148	85	12.11	12.11	NUM
cet-12751	148	86	(	(	PUNCT
cet-12751	148	87	t	t	PROPN
cet-12751	148	88	/	/	SYM
cet-12751	148	89	h	h	NOUN
cet-12751	148	90	)	)	PUNCT
cet-12751	148	91	s-zorb.ft_1004.pv	s-zorb.ft_1004.pv	NOUN
cet-12751	148	92	72.24	72.24	NUM
cet-12751	148	93	(	(	PUNCT
cet-12751	148	94	t	t	NOUN
cet-12751	148	95	/	/	SYM
cet-12751	148	96	h	h	NOUN
cet-12751	148	97	)	)	PUNCT
cet-12751	148	98	77.03	77.03	NUM
cet-12751	148	99	(	(	PUNCT
cet-12751	148	100	t	t	NOUN
cet-12751	148	101	/	/	SYM
cet-12751	148	102	h	h	NOUN
cet-12751	148	103	)	)	PUNCT
cet-12751	148	104	75.09	75.09	NUM
cet-12751	148	105	(	(	PUNCT
cet-12751	148	106	t	t	PROPN
cet-12751	148	107	/	/	SYM
cet-12751	148	108	h	h	NOUN
cet-12751	148	109	)	)	PUNCT
cet-12751	148	110	58.63	58.63	NUM
cet-12751	148	111	(	(	PUNCT
cet-12751	148	112	t	t	PROPN
cet-12751	148	113	/	/	SYM
cet-12751	148	114	h	h	NOUN
cet-12751	148	115	)	)	PUNCT
cet-12751	148	116	76.54	76.54	NUM
cet-12751	148	117	(	(	PUNCT
cet-12751	148	118	t	t	NOUN
cet-12751	148	119	/	/	SYM
cet-12751	148	120	h	h	NOUN
cet-12751	148	121	)	)	PUNCT
cet-12751	148	122	79.81	79.81	NUM
cet-12751	148	123	(	(	PUNCT
cet-12751	148	124	t	t	NOUN
cet-12751	148	125	/	/	SYM
cet-12751	148	126	h	h	NOUN
cet-12751	148	127	)	)	PUNCT
cet-12751	148	128	…	…	PUNCT
cet-12751	148	129	…	…	PUNCT
cet-12751	148	130	…	…	PUNCT
cet-12751	148	131	…	…	PUNCT
cet-12751	148	132	…	…	PUNCT
cet-12751	148	133	…	…	PUNCT
cet-12751	148	134	…	…	PUNCT
cet-12751	148	135	product	product	NOUN
cet-12751	148	136	property	property	NOUN
cet-12751	148	137	product	product	NOUN
cet-12751	148	138	ron	ron	PROPN
cet-12751	148	139	88.65	88.65	NUM
cet-12751	148	140	89.15	89.15	NUM
cet-12751	148	141	88.12	88.12	NUM
cet-12751	148	142	88.67	88.67	NUM
cet-12751	148	143	87.95	87.95	NUM
cet-12751	148	144	88.54	88.54	NUM
cet-12751	148	145	nomenclature	nomenclature	NOUN
cet-12751	148	146	ronmaterial	ronmaterial	NOUN
cet-12751	148	147	–	–	PUNCT
cet-12751	148	148	ron	ron	PROPN
cet-12751	148	149	of	of	ADP
cet-12751	148	150	refining	refining	NOUN
cet-12751	148	151	material	material	NOUN
cet-12751	148	152	ronproduct	ronproduct	NOUN
cet-12751	148	153	–	–	PUNCT
cet-12751	148	154	ron	ron	NOUN
cet-12751	148	155	of	of	ADP
cet-12751	148	156	refining	refining	NOUN
cet-12751	148	157	products	product	NOUN
cet-12751	148	158	ronoptimised	ronoptimise	VERB
cet-12751	148	159	–	–	PUNCT
cet-12751	148	160	the	the	DET
cet-12751	148	161	optimised	optimise	VERB
cet-12751	148	162	product	product	NOUN
cet-12751	148	163	ron	ron	PROPN
cet-12751	148	164	yi	yi	PROPN
cet-12751	148	165	–	–	PUNCT
cet-12751	148	166	observed	observe	VERB
cet-12751	148	167	ron	ron	PROPN
cet-12751	148	168	xi	xi	PROPN
cet-12751	148	169	–	–	PUNCT
cet-12751	148	170	the	the	DET
cet-12751	148	171	input	input	NOUN
cet-12751	148	172	original	original	ADJ
cet-12751	148	173	values	value	NOUN
cet-12751	148	174	xmax	xmax	PROPN
cet-12751	148	175	–	–	PUNCT
cet-12751	148	176	the	the	DET
cet-12751	148	177	maximum	maximum	NOUN
cet-12751	148	178	of	of	ADP
cet-12751	148	179	the	the	DET
cet-12751	148	180	input	input	NOUN
cet-12751	148	181	value	value	NOUN
cet-12751	148	182	xmin	xmin	NOUN
cet-12751	148	183	–	–	PUNCT
cet-12751	148	184	the	the	DET
cet-12751	148	185	minimum	minimum	NOUN
cet-12751	148	186	of	of	ADP
cet-12751	148	187	the	the	DET
cet-12751	148	188	input	input	NOUN
cet-12751	148	189	value	value	NOUN
cet-12751	148	190	acknowledgments	acknowledgment	NOUN
cet-12751	148	191	this	this	DET
cet-12751	148	192	work	work	NOUN
cet-12751	148	193	was	be	AUX
cet-12751	148	194	funded	fund	VERB
cet-12751	148	195	by	by	ADP
cet-12751	148	196	the	the	DET
cet-12751	148	197	science	science	PROPN
cet-12751	148	198	foundation	foundation	PROPN
cet-12751	148	199	of	of	ADP
cet-12751	148	200	zhejiang	zhejiang	PROPN
cet-12751	148	201	ocean	ocean	PROPN
cet-12751	148	202	university	university	PROPN
cet-12751	148	203	(	(	PUNCT
cet-12751	148	204	11025092122	11025092122	NUM
cet-12751	148	205	)	)	PUNCT
cet-12751	148	206	.	.	PUNCT
cet-12751	149	1	references	reference	NOUN
cet-12751	149	2	ibrahim	ibrahim	PROPN
cet-12751	149	3	a.e	a.e	PROPN
cet-12751	149	4	.	.	PROPN
cet-12751	149	5	,	,	PUNCT
cet-12751	149	6	farooq	farooq	PROPN
cet-12751	149	7	a.	a.	PROPN
cet-12751	149	8	,	,	PUNCT
cet-12751	149	9	2019	2019	NUM
cet-12751	149	10	.	.	PUNCT
cet-12751	150	1	octane	octane	NOUN
cet-12751	150	2	prediction	prediction	NOUN
cet-12751	150	3	from	from	ADP
cet-12751	150	4	infrared	infrared	ADJ
cet-12751	150	5	spectroscopic	spectroscopic	ADJ
cet-12751	150	6	data	datum	NOUN
cet-12751	150	7	.	.	PUNCT
cet-12751	151	1	energy	energy	NOUN
cet-12751	151	2	&	&	CCONJ
cet-12751	151	3	fuels	fuel	NOUN
cet-12751	151	4	,	,	PUNCT
cet-12751	151	5	34	34	NUM
cet-12751	151	6	,	,	PUNCT
cet-12751	151	7	817826	817826	NUM
cet-12751	151	8	.	.	PUNCT
cet-12751	152	1	balaji	balaji	PROPN
cet-12751	152	2	a.	a.	PROPN
cet-12751	152	3	,	,	PUNCT
cet-12751	152	4	allen	allen	PROPN
cet-12751	152	5	a.	a.	PROPN
cet-12751	152	6	,	,	PUNCT
cet-12751	152	7	2018	2018	NUM
cet-12751	152	8	.	.	PUNCT
cet-12751	153	1	benchmarking	benchmarke	VERB
cet-12751	153	2	automatic	automatic	ADJ
cet-12751	153	3	machine	machine	NOUN
cet-12751	153	4	learning	learn	VERB
cet-12751	153	5	frameworks	framework	NOUN
cet-12751	153	6	.	.	PUNCT
cet-12751	154	1	arxiv	arxiv	PROPN
cet-12751	154	2	preprint	preprint	PROPN
cet-12751	154	3	arxiv:1808.06492	arxiv:1808.06492	PROPN
cet-12751	154	4	.	.	PUNCT
cet-12751	155	1	cui	cui	PROPN
cet-12751	155	2	s.	s.	PROPN
cet-12751	155	3	,	,	PUNCT
cet-12751	155	4	qiu	qiu	PROPN
cet-12751	155	5	h.	h.	PROPN
cet-12751	155	6	,	,	PUNCT
cet-12751	155	7	wang	wang	PROPN
cet-12751	155	8	s.	s.	PROPN
cet-12751	155	9	,	,	PUNCT
cet-12751	155	10	wang	wang	PROPN
cet-12751	155	11	y.	y.	PROPN
cet-12751	155	12	,	,	PUNCT
cet-12751	155	13	2021	2021	NUM
cet-12751	155	14	.	.	PUNCT
cet-12751	156	1	two	two	NUM
cet-12751	156	2	-	-	PUNCT
cet-12751	156	3	stage	stage	NOUN
cet-12751	156	4	stacking	stack	VERB
cet-12751	156	5	heterogeneous	heterogeneous	ADJ
cet-12751	156	6	ensemble	ensemble	ADJ
cet-12751	156	7	learning	learning	NOUN
cet-12751	156	8	method	method	NOUN
cet-12751	156	9	for	for	ADP
cet-12751	156	10	gasoline	gasoline	NOUN
cet-12751	156	11	octane	octane	NOUN
cet-12751	156	12	number	number	NOUN
cet-12751	156	13	loss	loss	NOUN
cet-12751	156	14	prediction	prediction	NOUN
cet-12751	156	15	.	.	PUNCT
cet-12751	157	1	applied	apply	VERB
cet-12751	157	2	soft	soft	ADJ
cet-12751	157	3	computing	computing	NOUN
cet-12751	157	4	,	,	PUNCT
cet-12751	157	5	113	113	NUM
cet-12751	157	6	,	,	PUNCT
cet-12751	157	7	107989	107989	NUM
cet-12751	157	8	.	.	PUNCT
cet-12751	158	1	dabbagh	dabbagh	PROPN
cet-12751	159	1	h.a	h.a	PROPN
cet-12751	159	2	.	.	PROPN
cet-12751	159	3	,	,	PUNCT
cet-12751	159	4	ghobadi	ghobadi	PROPN
cet-12751	159	5	f.	f.	PROPN
cet-12751	159	6	,	,	PUNCT
cet-12751	159	7	ehsani	ehsani	PROPN
cet-12751	159	8	m.r	m.r	PROPN
cet-12751	159	9	.	.	PROPN
cet-12751	159	10	,	,	PUNCT
cet-12751	159	11	moradmand	moradmand	NOUN
cet-12751	159	12	m.	m.	NOUN
cet-12751	159	13	,	,	PUNCT
cet-12751	159	14	2013	2013	NUM
cet-12751	159	15	.	.	PUNCT
cet-12751	160	1	the	the	DET
cet-12751	160	2	influence	influence	NOUN
cet-12751	160	3	of	of	ADP
cet-12751	160	4	ester	ester	NOUN
cet-12751	160	5	additives	additive	NOUN
cet-12751	160	6	on	on	ADP
cet-12751	160	7	the	the	DET
cet-12751	160	8	properties	property	NOUN
cet-12751	160	9	of	of	ADP
cet-12751	160	10	gasoline	gasoline	NOUN
cet-12751	160	11	.	.	PUNCT
cet-12751	161	1	fuel	fuel	NOUN
cet-12751	161	2	,	,	PUNCT
cet-12751	161	3	104	104	NUM
cet-12751	161	4	,	,	PUNCT
cet-12751	161	5	216	216	NUM
cet-12751	161	6	-	-	SYM
cet-12751	161	7	223	223	NUM
cet-12751	161	8	.	.	PUNCT
cet-12751	162	1	demirbas	demirbas	PROPN
cet-12751	162	2	a.	a.	PROPN
cet-12751	162	3	,	,	PUNCT
cet-12751	162	4	2007	2007	NUM
cet-12751	162	5	.	.	PUNCT
cet-12751	163	1	importance	importance	NOUN
cet-12751	163	2	of	of	ADP
cet-12751	163	3	biodiesel	biodiesel	NOUN
cet-12751	163	4	as	as	ADP
cet-12751	163	5	transportation	transportation	NOUN
cet-12751	163	6	fuel	fuel	NOUN
cet-12751	163	7	.	.	PUNCT
cet-12751	164	1	energy	energy	NOUN
cet-12751	164	2	policy	policy	NOUN
cet-12751	164	3	,	,	PUNCT
cet-12751	164	4	35	35	NUM
cet-12751	164	5	,	,	PUNCT
cet-12751	164	6	4661	4661	NUM
cet-12751	164	7	-	-	SYM
cet-12751	164	8	4670	4670	NUM
cet-12751	164	9	.	.	PUNCT
cet-12751	165	1	dias	dias	PROPN
cet-12751	165	2	t.	t.	PROPN
cet-12751	165	3	,	,	PUNCT
cet-12751	165	4	oliveira	oliveira	PROPN
cet-12751	165	5	r.	r.	PROPN
cet-12751	165	6	,	,	PUNCT
cet-12751	165	7	saraiva	saraiva	PROPN
cet-12751	165	8	p.	p.	PROPN
cet-12751	165	9	,	,	PUNCT
cet-12751	165	10	reis	reis	PROPN
cet-12751	165	11	m.s	m.s	PROPN
cet-12751	165	12	.	.	PROPN
cet-12751	165	13	,	,	PUNCT
cet-12751	165	14	2020	2020	NUM
cet-12751	165	15	.	.	PUNCT
cet-12751	166	1	predictive	predictive	ADJ
cet-12751	166	2	analytics	analytic	NOUN
cet-12751	166	3	in	in	ADP
cet-12751	166	4	the	the	DET
cet-12751	166	5	petrochemical	petrochemical	NOUN
cet-12751	166	6	industry	industry	NOUN
cet-12751	166	7	:	:	PUNCT
cet-12751	166	8	research	research	NOUN
cet-12751	166	9	octane	octane	NOUN
cet-12751	166	10	number	number	NOUN
cet-12751	166	11	(	(	PUNCT
cet-12751	166	12	ron	ron	NOUN
cet-12751	166	13	)	)	PUNCT
cet-12751	166	14	forecasting	forecasting	NOUN
cet-12751	166	15	and	and	CCONJ
cet-12751	166	16	analysis	analysis	NOUN
cet-12751	166	17	in	in	ADP
cet-12751	166	18	an	an	DET
cet-12751	166	19	industrial	industrial	ADJ
cet-12751	166	20	catalytic	catalytic	ADJ
cet-12751	166	21	reforming	reform	VERB
cet-12751	166	22	unit	unit	NOUN
cet-12751	166	23	.	.	PUNCT
cet-12751	167	1	computers	computer	NOUN
cet-12751	167	2	&	&	CCONJ
cet-12751	167	3	chemical	chemical	PROPN
cet-12751	167	4	engineering	engineering	PROPN
cet-12751	167	5	,	,	PUNCT
cet-12751	167	6	139	139	NUM
cet-12751	167	7	,	,	PUNCT
cet-12751	167	8	106912	106912	NUM
cet-12751	167	9	.	.	PUNCT
cet-12751	168	1	doicin	doicin	PROPN
cet-12751	168	2	b.	b.	PROPN
cet-12751	168	3	,	,	PUNCT
cet-12751	168	4	onuțu	onuțu	PROPN
cet-12751	168	5	i.	i.	PROPN
cet-12751	168	6	,	,	PUNCT
cet-12751	168	7	2014	2014	NUM
cet-12751	168	8	.	.	PUNCT
cet-12751	169	1	octane	octane	NOUN
cet-12751	169	2	number	number	NOUN
cet-12751	169	3	estimation	estimation	NOUN
cet-12751	169	4	using	use	VERB
cet-12751	169	5	neural	neural	ADJ
cet-12751	169	6	networks	network	NOUN
cet-12751	169	7	.	.	PUNCT
cet-12751	170	1	revista	revista	PROPN
cet-12751	170	2	de	de	X
cet-12751	170	3	chimie	chimie	PROPN
cet-12751	170	4	,	,	PUNCT
cet-12751	170	5	65	65	NUM
cet-12751	170	6	,	,	PUNCT
cet-12751	170	7	599	599	NUM
cet-12751	170	8	-	-	SYM
cet-12751	170	9	602	602	NUM
cet-12751	170	10	.	.	PUNCT
cet-12751	171	1	kelly	kelly	PROPN
cet-12751	171	2	j.j	j.j	PROPN
cet-12751	171	3	.	.	PROPN
cet-12751	171	4	,	,	PUNCT
cet-12751	171	5	barlow	barlow	PROPN
cet-12751	171	6	c.h	c.h	PROPN
cet-12751	171	7	.	.	PROPN
cet-12751	171	8	,	,	PUNCT
cet-12751	171	9	jinguji	jinguji	PROPN
cet-12751	171	10	t.m	t.m	PROPN
cet-12751	171	11	.	.	PROPN
cet-12751	171	12	,	,	PUNCT
cet-12751	171	13	callis	calli	VERB
cet-12751	171	14	j.b	j.b	PROPN
cet-12751	171	15	.	.	PROPN
cet-12751	171	16	,	,	PUNCT
cet-12751	171	17	1989	1989	NUM
cet-12751	171	18	.	.	PUNCT
cet-12751	172	1	prediction	prediction	NOUN
cet-12751	172	2	of	of	ADP
cet-12751	172	3	gasoline	gasoline	NOUN
cet-12751	172	4	octane	octane	NOUN
cet-12751	172	5	numbers	number	NOUN
cet-12751	172	6	from	from	ADP
cet-12751	172	7	near	near	ADV
cet-12751	172	8	-	-	PUNCT
cet-12751	172	9	infrared	infrared	ADJ
cet-12751	172	10	spectral	spectral	ADJ
cet-12751	172	11	features	feature	NOUN
cet-12751	172	12	in	in	ADP
cet-12751	172	13	the	the	DET
cet-12751	172	14	range	range	NOUN
cet-12751	172	15	660	660	NUM
cet-12751	172	16	-	-	SYM
cet-12751	172	17	1215	1215	NUM
cet-12751	172	18	nm	nm	NOUN
cet-12751	172	19	.	.	PUNCT
cet-12751	173	1	analytical	analytical	ADJ
cet-12751	173	2	chemistry	chemistry	NOUN
cet-12751	173	3	,	,	PUNCT
cet-12751	173	4	61	61	NUM
cet-12751	173	5	,	,	PUNCT
cet-12751	173	6	313	313	NUM
cet-12751	173	7	-	-	SYM
cet-12751	173	8	320	320	NUM
cet-12751	173	9	.	.	PUNCT
cet-12751	174	1	kubic	kubic	PROPN
cet-12751	174	2	jr	jr	PROPN
cet-12751	174	3	w.l	w.l	PROPN
cet-12751	174	4	.	.	PROPN
cet-12751	174	5	,	,	PUNCT
cet-12751	174	6	jenkins	jenkins	PROPN
cet-12751	174	7	r.w	r.w	PROPN
cet-12751	174	8	.	.	PROPN
cet-12751	174	9	,	,	PUNCT
cet-12751	175	1	moore	moore	PROPN
cet-12751	175	2	c.m	c.m	PROPN
cet-12751	175	3	.	.	PROPN
cet-12751	175	4	,	,	PUNCT
cet-12751	175	5	semelsberger	semelsberger	PROPN
cet-12751	175	6	t.a	t.a	PROPN
cet-12751	175	7	.	.	PROPN
cet-12751	175	8	,	,	PUNCT
cet-12751	175	9	sutton	sutton	PROPN
cet-12751	175	10	a.d	a.d	PROPN
cet-12751	175	11	.	.	PROPN
cet-12751	175	12	,	,	PUNCT
cet-12751	175	13	2017	2017	NUM
cet-12751	175	14	.	.	PUNCT
cet-12751	176	1	artificial	artificial	ADJ
cet-12751	176	2	neural	neural	ADJ
cet-12751	176	3	network	network	NOUN
cet-12751	176	4	based	base	VERB
cet-12751	176	5	group	group	NOUN
cet-12751	176	6	contribution	contribution	NOUN
cet-12751	176	7	method	method	NOUN
cet-12751	176	8	for	for	ADP
cet-12751	176	9	estimating	estimate	VERB
cet-12751	176	10	cetane	cetane	NOUN
cet-12751	176	11	and	and	CCONJ
cet-12751	176	12	octane	octane	NOUN
cet-12751	176	13	numbers	number	NOUN
cet-12751	176	14	of	of	ADP
cet-12751	176	15	hydrocarbons	hydrocarbon	NOUN
cet-12751	176	16	and	and	CCONJ
cet-12751	176	17	oxygenated	oxygenate	VERB
cet-12751	176	18	organic	organic	ADJ
cet-12751	176	19	compounds	compound	NOUN
cet-12751	176	20	.	.	PUNCT
cet-12751	177	1	industrial	industrial	PROPN
cet-12751	177	2	&	&	CCONJ
cet-12751	177	3	engineering	engineer	VERB
cet-12751	177	4	chemistry	chemistry	NOUN
cet-12751	177	5	research	research	NOUN
cet-12751	177	6	,	,	PUNCT
cet-12751	177	7	56	56	NUM
cet-12751	177	8	,	,	PUNCT
cet-12751	177	9	12236	12236	NUM
cet-12751	177	10	-	-	SYM
cet-12751	177	11	12245	12245	NUM
cet-12751	177	12	.	.	PUNCT
cet-12751	178	1	li	li	PROPN
cet-12751	178	2	b.	b.	PROPN
cet-12751	178	3	,	,	PUNCT
cet-12751	178	4	qin	qin	PROPN
cet-12751	178	5	c.	c.	PROPN
cet-12751	178	6	,	,	PUNCT
cet-12751	178	7	2021	2021	NUM
cet-12751	178	8	.	.	PUNCT
cet-12751	179	1	predictive	predictive	ADJ
cet-12751	179	2	analytics	analytic	NOUN
cet-12751	179	3	for	for	ADP
cet-12751	179	4	octane	octane	NOUN
cet-12751	179	5	number	number	NOUN
cet-12751	179	6	:	:	PUNCT
cet-12751	179	7	a	a	DET
cet-12751	179	8	novel	novel	ADJ
cet-12751	179	9	hybrid	hybrid	NOUN
cet-12751	179	10	approach	approach	NOUN
cet-12751	179	11	of	of	ADP
cet-12751	179	12	kpca	kpca	PROPN
cet-12751	179	13	and	and	CCONJ
cet-12751	179	14	gs	gs	NOUN
cet-12751	179	15	-	-	PUNCT
cet-12751	179	16	psosvr	psosvr	VERB
cet-12751	179	17	model	model	NOUN
cet-12751	179	18	.	.	PUNCT
cet-12751	180	1	ieee	ieee	NOUN
cet-12751	180	2	access	access	NOUN
cet-12751	180	3	,	,	PUNCT
cet-12751	180	4	9	9	NUM
cet-12751	180	5	,	,	PUNCT
cet-12751	180	6	66531	66531	NUM
cet-12751	180	7	-	-	SYM
cet-12751	180	8	66541	66541	NUM
cet-12751	180	9	.	.	PUNCT
cet-12751	181	1	pan	pan	PROPN
cet-12751	181	2	l.	l.	PROPN
cet-12751	181	3	,	,	PUNCT
cet-12751	181	4	liu	liu	PROPN
cet-12751	181	5	p.	p.	PROPN
cet-12751	181	6	,	,	PUNCT
cet-12751	181	7	li	li	PROPN
cet-12751	181	8	z.	z.	PROPN
cet-12751	181	9	,	,	PUNCT
cet-12751	181	10	2018	2018	NUM
cet-12751	181	11	.	.	PUNCT
cet-12751	182	1	a	a	DET
cet-12751	182	2	discussion	discussion	NOUN
cet-12751	182	3	on	on	ADP
cet-12751	182	4	china	china	PROPN
cet-12751	182	5	's	's	PART
cet-12751	182	6	vehicle	vehicle	NOUN
cet-12751	182	7	fuel	fuel	NOUN
cet-12751	182	8	policy	policy	NOUN
cet-12751	182	9	:	:	PUNCT
cet-12751	182	10	based	base	VERB
cet-12751	182	11	on	on	ADP
cet-12751	182	12	the	the	DET
cet-12751	182	13	development	development	NOUN
cet-12751	182	14	route	route	NOUN
cet-12751	182	15	optimization	optimization	NOUN
cet-12751	182	16	of	of	ADP
cet-12751	182	17	refining	refining	NOUN
cet-12751	182	18	industry	industry	NOUN
cet-12751	182	19	.	.	PUNCT
cet-12751	183	1	energy	energy	NOUN
cet-12751	183	2	policy	policy	NOUN
cet-12751	183	3	,	,	PUNCT
cet-12751	183	4	114	114	NUM
cet-12751	183	5	,	,	PUNCT
cet-12751	183	6	403	403	NUM
cet-12751	183	7	-	-	SYM
cet-12751	183	8	412	412	NUM
cet-12751	183	9	.	.	PUNCT
cet-12751	184	1	parisi	parisi	PROPN
cet-12751	184	2	a.f	a.f	PROPN
cet-12751	184	3	.	.	PROPN
cet-12751	184	4	,	,	PUNCT
cet-12751	184	5	nogueiras	nogueiras	PROPN
cet-12751	184	6	l.	l.	PROPN
cet-12751	184	7	,	,	PUNCT
cet-12751	184	8	prieto	prieto	PROPN
cet-12751	184	9	h.	h.	PROPN
cet-12751	184	10	,	,	PUNCT
cet-12751	184	11	1990	1990	NUM
cet-12751	184	12	.	.	PUNCT
cet-12751	185	1	on	on	ADP
cet-12751	185	2	-	-	PUNCT
cet-12751	185	3	line	line	NOUN
cet-12751	185	4	determination	determination	NOUN
cet-12751	185	5	of	of	ADP
cet-12751	185	6	fuel	fuel	NOUN
cet-12751	185	7	quality	quality	NOUN
cet-12751	185	8	parameters	parameter	NOUN
cet-12751	185	9	using	use	VERB
cet-12751	185	10	near	near	ADV
cet-12751	185	11	-	-	PUNCT
cet-12751	185	12	infrared	infrared	ADJ
cet-12751	185	13	spectrometry	spectrometry	NOUN
cet-12751	185	14	with	with	ADP
cet-12751	185	15	fibre	fibre	NOUN
cet-12751	185	16	optics	optic	NOUN
cet-12751	185	17	and	and	CCONJ
cet-12751	185	18	multivariate	multivariate	NOUN
cet-12751	185	19	calibration	calibration	NOUN
cet-12751	185	20	.	.	PUNCT
cet-12751	186	1	analytica	analytica	PROPN
cet-12751	186	2	chimica	chimica	PROPN
cet-12751	186	3	acta	acta	PROPN
cet-12751	186	4	,	,	PUNCT
cet-12751	186	5	238	238	NUM
cet-12751	186	6	,	,	PUNCT
cet-12751	186	7	95	95	NUM
cet-12751	186	8	-	-	SYM
cet-12751	186	9	100	100	NUM
cet-12751	186	10	.	.	PUNCT
cet-12751	187	1	poli	poli	PROPN
cet-12751	187	2	r.	r.	PROPN
cet-12751	187	3	,	,	PUNCT
cet-12751	187	4	kennedy	kennedy	PROPN
cet-12751	187	5	j.	j.	PROPN
cet-12751	187	6	,	,	PUNCT
cet-12751	187	7	blackwell	blackwell	PROPN
cet-12751	187	8	t.	t.	PROPN
cet-12751	187	9	,	,	PUNCT
cet-12751	187	10	2007	2007	NUM
cet-12751	187	11	.	.	PUNCT
cet-12751	187	12	particle	particle	NOUN
cet-12751	187	13	swarm	swarm	NOUN
cet-12751	187	14	optimization	optimization	NOUN
cet-12751	187	15	.	.	PUNCT
cet-12751	188	1	swarm	swarm	NOUN
cet-12751	188	2	intelligence	intelligence	NOUN
cet-12751	188	3	,	,	PUNCT
cet-12751	188	4	1	1	NUM
cet-12751	188	5	,	,	PUNCT
cet-12751	188	6	33	33	NUM
cet-12751	188	7	-	-	SYM
cet-12751	188	8	57	57	NUM
cet-12751	188	9	.	.	PUNCT
cet-12751	189	1	rashid	rashid	PROPN
cet-12751	189	2	h.a	h.a	PROPN
cet-12751	189	3	.	.	PROPN
cet-12751	189	4	,	,	PUNCT
cet-12751	189	5	dekran	dekran	PROPN
cet-12751	189	6	s.b	s.b	PROPN
cet-12751	189	7	.	.	PROPN
cet-12751	189	8	,	,	PUNCT
cet-12751	189	9	fakhri	fakhri	PROPN
cet-12751	189	10	n.a	n.a	PROPN
cet-12751	189	11	.	.	PROPN
cet-12751	189	12	,	,	PUNCT
cet-12751	189	13	aziz	aziz	PROPN
cet-12751	189	14	h.j	h.j	PROPN
cet-12751	189	15	.	.	PROPN
cet-12751	189	16	,	,	PUNCT
cet-12751	189	17	hamoudi	hamoudi	PROPN
cet-12751	189	18	n.a	n.a	PROPN
cet-12751	189	19	.	.	PROPN
cet-12751	189	20	,	,	PUNCT
cet-12751	189	21	1989	1989	NUM
cet-12751	189	22	.	.	PUNCT
cet-12751	190	1	determination	determination	NOUN
cet-12751	190	2	of	of	ADP
cet-12751	190	3	several	several	ADJ
cet-12751	190	4	physical	physical	ADJ
cet-12751	190	5	properties	property	NOUN
cet-12751	190	6	of	of	ADP
cet-12751	190	7	light	light	ADJ
cet-12751	190	8	petroleum	petroleum	NOUN
cet-12751	190	9	products	product	NOUN
cet-12751	190	10	using	use	VERB
cet-12751	190	11	ir	ir	PROPN
cet-12751	190	12	.	.	PROPN
cet-12751	190	13	fuel	fuel	PROPN
cet-12751	190	14	science	science	PROPN
cet-12751	190	15	&	&	CCONJ
cet-12751	190	16	technology	technology	PROPN
cet-12751	190	17	international	international	PROPN
cet-12751	190	18	,	,	PUNCT
cet-12751	190	19	7	7	NUM
cet-12751	190	20	,	,	PUNCT
cet-12751	190	21	237	237	NUM
cet-12751	190	22	-	-	SYM
cet-12751	190	23	250	250	NUM
cet-12751	190	24	.	.	PUNCT
cet-12751	191	1	zhao	zhao	PROPN
cet-12751	191	2	w.	w.	PROPN
cet-12751	191	3	,	,	PUNCT
cet-12751	191	4	zhang	zhang	PROPN
cet-12751	191	5	h.	h.	PROPN
cet-12751	191	6	,	,	PUNCT
cet-12751	191	7	zheng	zheng	PROPN
cet-12751	191	8	j.	j.	PROPN
cet-12751	191	9	,	,	PUNCT
cet-12751	191	10	dai	dai	PROPN
cet-12751	191	11	y.	y.	PROPN
cet-12751	191	12	,	,	PUNCT
cet-12751	191	13	huang	huang	PROPN
cet-12751	191	14	l.	l.	PROPN
cet-12751	191	15	,	,	PUNCT
cet-12751	191	16	shang	shang	PROPN
cet-12751	191	17	w.	w.	PROPN
cet-12751	191	18	,	,	PUNCT
cet-12751	191	19	liang	liang	PROPN
cet-12751	191	20	y.	y.	PROPN
cet-12751	191	21	,	,	PUNCT
cet-12751	191	22	2021	2021	NUM
cet-12751	191	23	.	.	PUNCT
cet-12751	192	1	a	a	DET
cet-12751	192	2	point	point	NOUN
cet-12751	192	3	prediction	prediction	NOUN
cet-12751	192	4	method	method	NOUN
cet-12751	192	5	based	base	VERB
cet-12751	192	6	automatic	automatic	ADJ
cet-12751	192	7	machine	machine	NOUN
cet-12751	192	8	learning	learn	VERB
cet-12751	192	9	for	for	ADP
cet-12751	192	10	day	day	NOUN
cet-12751	192	11	-	-	PUNCT
cet-12751	192	12	ahead	ahead	NOUN
cet-12751	192	13	power	power	NOUN
cet-12751	192	14	output	output	NOUN
cet-12751	192	15	of	of	ADP
cet-12751	192	16	multi	multi	ADJ
cet-12751	192	17	-	-	ADJ
cet-12751	192	18	region	region	ADJ
cet-12751	192	19	photovoltaic	photovoltaic	NOUN
cet-12751	192	20	plants	plant	NOUN
cet-12751	192	21	.	.	PUNCT
cet-12751	193	1	energy	energy	NOUN
cet-12751	193	2	,	,	PUNCT
cet-12751	193	3	223	223	NUM
cet-12751	193	4	,	,	PUNCT
cet-12751	193	5	120026	120026	NUM
cet-12751	193	6	.	.	PUNCT
cet-12751	194	1	1170	1170	NUM
cet-12751	194	2	pres22_0414.pdf	pres22_0414.pdf	NOUN
cet-12751	194	3	a	a	DET
cet-12751	194	4	hybrid	hybrid	ADJ
cet-12751	194	5	intelligent	intelligent	ADJ
cet-12751	194	6	method	method	NOUN
cet-12751	194	7	for	for	ADP
cet-12751	194	8	predicting	predict	VERB
cet-12751	194	9	gasoline	gasoline	NOUN
cet-12751	194	10	octane	octane	NOUN
cet-12751	194	11	number	number	NOUN
cet-12751	194	12	and	and	CCONJ
cet-12751	194	13	optimising	optimise	VERB
cet-12751	194	14	operation	operation	NOUN
cet-12751	194	15	parameters	parameter	NOUN
cet-12751	194	16	nomenclature	nomenclature	VERB