id	sid	tid	token	lemma	pos
hjic-238	1	1	microsoft	microsoft	PROPN
hjic-238	1	2	word	word	NOUN
hjic-238	1	3	toc_r.doc	toc_r.doc	ADJ
hjic-238	1	4	hungarian	hungarian	ADJ
hjic-238	1	5	journal	journal	NOUN
hjic-238	1	6	of	of	ADP
hjic-238	1	7	industrial	industrial	ADJ
hjic-238	1	8	chemistry	chemistry	NOUN
hjic-238	1	9	veszprém	veszprém	NOUN
hjic-238	1	10	vol	vol	NOUN
hjic-238	1	11	.	.	PUNCT
hjic-238	2	1	37(2	37(2	PRON
hjic-238	2	2	)	)	PUNCT
hjic-238	3	1	pp	pp	ADP
hjic-238	3	2	.	.	PUNCT
hjic-238	4	1	119	119	NUM
hjic-238	4	2	-	-	SYM
hjic-238	4	3	122	122	NUM
hjic-238	4	4	(	(	PUNCT
hjic-238	4	5	2009	2009	NUM
hjic-238	4	6	)	)	PUNCT
hjic-238	4	7	comparison	comparison	NOUN
hjic-238	4	8	of	of	ADP
hjic-238	4	9	calibration	calibration	NOUN
hjic-238	4	10	models	model	NOUN
hjic-238	4	11	based	base	VERB
hjic-238	4	12	on	on	ADP
hjic-238	4	13	near	near	ADP
hjic-238	4	14	infrared	infrared	ADJ
hjic-238	4	15	spectroscopy	spectroscopy	NOUN
hjic-238	4	16	data	datum	NOUN
hjic-238	4	17	for	for	ADP
hjic-238	4	18	the	the	DET
hjic-238	4	19	determination	determination	NOUN
hjic-238	4	20	of	of	ADP
hjic-238	4	21	plant	plant	NOUN
hjic-238	4	22	oil	oil	NOUN
hjic-238	4	23	properties	property	NOUN
hjic-238	4	24	a.	a.	NOUN
hjic-238	4	25	fülöp	fülöp	PROPN
hjic-238	4	26	,	,	PUNCT
hjic-238	4	27	j.	j.	PROPN
hjic-238	4	28	hancsók	hancsók	PROPN
hjic-238	4	29	university	university	PROPN
hjic-238	4	30	of	of	ADP
hjic-238	4	31	pannonia	pannonia	PROPN
hjic-238	4	32	,	,	PUNCT
hjic-238	4	33	department	department	NOUN
hjic-238	4	34	of	of	ADP
hjic-238	4	35	hydrocarbon	hydrocarbon	NOUN
hjic-238	4	36	and	and	CCONJ
hjic-238	4	37	coal	coal	NOUN
hjic-238	4	38	processing	processing	NOUN
hjic-238	4	39	p.	p.	PROPN
hjic-238	4	40	o.	o.	PROPN
hjic-238	4	41	box	box	PROPN
hjic-238	4	42	158	158	NUM
hjic-238	4	43	.	.	PUNCT
hjic-238	4	44	,	,	PUNCT
hjic-238	4	45	h-8201	h-8201	NUM
hjic-238	4	46	veszprém	veszprém	NOUN
hjic-238	4	47	,	,	PUNCT
hjic-238	4	48	hungary	hungary	PROPN
hjic-238	4	49	,	,	PUNCT
hjic-238	4	50	phone	phone	NOUN
hjic-238	4	51	:	:	PUNCT
hjic-238	4	52	+3688624414	+3688624414	NUM
hjic-238	4	53	,	,	PUNCT
hjic-238	4	54	fax:+3688624520	fax:+3688624520	VERB
hjic-238	4	55	the	the	DET
hjic-238	4	56	aim	aim	NOUN
hjic-238	4	57	of	of	ADP
hjic-238	4	58	this	this	DET
hjic-238	4	59	study	study	NOUN
hjic-238	4	60	was	be	AUX
hjic-238	4	61	to	to	PART
hjic-238	4	62	compare	compare	VERB
hjic-238	4	63	the	the	DET
hjic-238	4	64	prediction	prediction	NOUN
hjic-238	4	65	efficiency	efficiency	NOUN
hjic-238	4	66	of	of	ADP
hjic-238	4	67	different	different	ADJ
hjic-238	4	68	type	type	NOUN
hjic-238	4	69	of	of	ADP
hjic-238	4	70	linear	linear	PROPN
hjic-238	4	71	calibration	calibration	NOUN
hjic-238	4	72	models	model	NOUN
hjic-238	4	73	using	use	VERB
hjic-238	4	74	near	near	ADP
hjic-238	4	75	infrared	infrared	ADJ
hjic-238	4	76	(	(	PUNCT
hjic-238	4	77	nir	nir	NOUN
hjic-238	4	78	)	)	PUNCT
hjic-238	4	79	absorbance	absorbance	NOUN
hjic-238	4	80	spectral	spectral	ADJ
hjic-238	4	81	data	datum	NOUN
hjic-238	4	82	of	of	ADP
hjic-238	4	83	vegetable	vegetable	ADJ
hjic-238	4	84	oils	oil	NOUN
hjic-238	4	85	.	.	PUNCT
hjic-238	5	1	the	the	DET
hjic-238	5	2	applied	apply	VERB
hjic-238	5	3	model	model	NOUN
hjic-238	5	4	types	type	NOUN
hjic-238	5	5	were	be	AUX
hjic-238	5	6	the	the	DET
hjic-238	5	7	pca	pca	PROPN
hjic-238	5	8	-	-	PUNCT
hjic-238	5	9	mlr	mlr	PROPN
hjic-238	5	10	(	(	PUNCT
hjic-238	5	11	principal	principal	ADJ
hjic-238	5	12	component	component	NOUN
hjic-238	5	13	analysis	analysis	NOUN
hjic-238	5	14	-	-	PUNCT
hjic-238	5	15	multiple	multiple	ADJ
hjic-238	5	16	linear	linear	ADJ
hjic-238	5	17	regression	regression	NOUN
hjic-238	5	18	)	)	PUNCT
hjic-238	5	19	,	,	PUNCT
hjic-238	5	20	the	the	DET
hjic-238	5	21	pls	pls	INTJ
hjic-238	5	22	(	(	PUNCT
hjic-238	5	23	partial	partial	ADJ
hjic-238	5	24	least	least	ADJ
hjic-238	5	25	squares	square	NOUN
hjic-238	5	26	regression	regression	NOUN
hjic-238	5	27	)	)	PUNCT
hjic-238	5	28	,	,	PUNCT
hjic-238	5	29	the	the	DET
hjic-238	5	30	pca	pca	PROPN
hjic-238	5	31	-	-	PROPN
hjic-238	5	32	ann	ann	PROPN
hjic-238	5	33	(	(	PUNCT
hjic-238	5	34	principal	principal	ADJ
hjic-238	5	35	component	component	NOUN
hjic-238	5	36	analysis	analysis	NOUN
hjic-238	5	37	-	-	PUNCT
hjic-238	5	38	artificial	artificial	ADJ
hjic-238	5	39	neural	neural	ADJ
hjic-238	5	40	network	network	NOUN
hjic-238	5	41	)	)	PUNCT
hjic-238	5	42	and	and	CCONJ
hjic-238	5	43	the	the	DET
hjic-238	5	44	ga	ga	PROPN
hjic-238	5	45	-	-	PROPN
hjic-238	5	46	ann	ann	PROPN
hjic-238	5	47	(	(	PUNCT
hjic-238	5	48	genetic	genetic	ADJ
hjic-238	5	49	algorithm	algorithm	NOUN
hjic-238	5	50	-	-	PUNCT
hjic-238	5	51	artificial	artificial	ADJ
hjic-238	5	52	neural	neural	ADJ
hjic-238	5	53	network	network	NOUN
hjic-238	5	54	)	)	PUNCT
hjic-238	5	55	.	.	PUNCT
hjic-238	6	1	the	the	DET
hjic-238	6	2	calibrations	calibration	NOUN
hjic-238	6	3	were	be	AUX
hjic-238	6	4	executed	execute	VERB
hjic-238	6	5	on	on	ADP
hjic-238	6	6	the	the	DET
hjic-238	6	7	models	model	NOUN
hjic-238	6	8	for	for	ADP
hjic-238	6	9	the	the	DET
hjic-238	6	10	determination	determination	NOUN
hjic-238	6	11	of	of	ADP
hjic-238	6	12	the	the	DET
hjic-238	6	13	concentration	concentration	NOUN
hjic-238	6	14	of	of	ADP
hjic-238	6	15	oleic	oleic	ADJ
hjic-238	6	16	acid	acid	PROPN
hjic-238	6	17	of	of	ADP
hjic-238	6	18	vegetable	vegetable	NOUN
hjic-238	6	19	oils	oil	NOUN
hjic-238	6	20	and	and	CCONJ
hjic-238	6	21	the	the	DET
hjic-238	6	22	performances	performance	NOUN
hjic-238	6	23	of	of	ADP
hjic-238	6	24	the	the	DET
hjic-238	6	25	different	different	ADJ
hjic-238	6	26	models	model	NOUN
hjic-238	6	27	were	be	AUX
hjic-238	6	28	determined	determine	VERB
hjic-238	6	29	using	use	VERB
hjic-238	6	30	external	external	ADJ
hjic-238	6	31	validation	validation	NOUN
hjic-238	6	32	.	.	PUNCT
hjic-238	7	1	during	during	ADP
hjic-238	7	2	external	external	ADJ
hjic-238	7	3	validation	validation	NOUN
hjic-238	7	4	the	the	DET
hjic-238	7	5	built	build	VERB
hjic-238	7	6	models	model	NOUN
hjic-238	7	7	were	be	AUX
hjic-238	7	8	tested	test	VERB
hjic-238	7	9	with	with	ADP
hjic-238	7	10	vegetable	vegetable	NOUN
hjic-238	7	11	oil	oil	NOUN
hjic-238	7	12	samples	sample	NOUN
hjic-238	7	13	of	of	ADP
hjic-238	7	14	which	which	DET
hjic-238	7	15	oleic	oleic	ADJ
hjic-238	7	16	acid	acid	PROPN
hjic-238	7	17	content	content	NOUN
hjic-238	7	18	was	be	AUX
hjic-238	7	19	known	know	VERB
hjic-238	7	20	and	and	CCONJ
hjic-238	7	21	was	be	AUX
hjic-238	7	22	not	not	PART
hjic-238	7	23	included	include	VERB
hjic-238	7	24	in	in	ADP
hjic-238	7	25	the	the	DET
hjic-238	7	26	calibration	calibration	NOUN
hjic-238	7	27	sample	sample	NOUN
hjic-238	7	28	set	set	NOUN
hjic-238	7	29	.	.	PUNCT
hjic-238	8	1	the	the	DET
hjic-238	8	2	comparison	comparison	NOUN
hjic-238	8	3	of	of	ADP
hjic-238	8	4	the	the	DET
hjic-238	8	5	models	model	NOUN
hjic-238	8	6	was	be	AUX
hjic-238	8	7	executed	execute	VERB
hjic-238	8	8	on	on	ADP
hjic-238	8	9	the	the	DET
hjic-238	8	10	basis	basis	NOUN
hjic-238	8	11	of	of	ADP
hjic-238	8	12	the	the	DET
hjic-238	8	13	accuracy	accuracy	NOUN
hjic-238	8	14	of	of	ADP
hjic-238	8	15	the	the	DET
hjic-238	8	16	prediction	prediction	NOUN
hjic-238	8	17	.	.	PUNCT
hjic-238	9	1	keywords	keyword	NOUN
hjic-238	9	2	:	:	PUNCT
hjic-238	9	3	near	near	ADP
hjic-238	9	4	infrared	infrared	ADJ
hjic-238	9	5	spectroscopy	spectroscopy	NOUN
hjic-238	9	6	,	,	PUNCT
hjic-238	9	7	sunflower	sunflower	NOUN
hjic-238	9	8	oil	oil	NOUN
hjic-238	9	9	,	,	PUNCT
hjic-238	9	10	rapeseed	rapeseed	NOUN
hjic-238	9	11	oil	oil	NOUN
hjic-238	9	12	introduction	introduction	NOUN
hjic-238	9	13	the	the	DET
hjic-238	9	14	near	near	ADV
hjic-238	9	15	infrared	infrared	ADJ
hjic-238	9	16	spectroscopy	spectroscopy	NOUN
hjic-238	9	17	(	(	PUNCT
hjic-238	9	18	nir	nir	NOUN
hjic-238	9	19	)	)	PUNCT
hjic-238	9	20	is	be	AUX
hjic-238	9	21	a	a	DET
hjic-238	9	22	wellestablished	wellestablished	ADJ
hjic-238	9	23	analytical	analytical	ADJ
hjic-238	9	24	technique	technique	NOUN
hjic-238	9	25	based	base	VERB
hjic-238	9	26	on	on	ADP
hjic-238	9	27	the	the	DET
hjic-238	9	28	absorption	absorption	NOUN
hjic-238	9	29	of	of	ADP
hjic-238	9	30	electromagnetic	electromagnetic	ADJ
hjic-238	9	31	energy	energy	NOUN
hjic-238	9	32	in	in	ADP
hjic-238	9	33	the	the	DET
hjic-238	9	34	region	region	NOUN
hjic-238	9	35	of	of	ADP
hjic-238	9	36	12000	12000	NUM
hjic-238	9	37	–	–	PUNCT
hjic-238	9	38	4000	4000	NUM
hjic-238	9	39	cm-1	cm-1	NOUN
hjic-238	9	40	.	.	PUNCT
hjic-238	10	1	this	this	DET
hjic-238	10	2	type	type	NOUN
hjic-238	10	3	of	of	ADP
hjic-238	10	4	technique	technique	NOUN
hjic-238	10	5	allows	allow	VERB
hjic-238	10	6	the	the	DET
hjic-238	10	7	determination	determination	NOUN
hjic-238	10	8	of	of	ADP
hjic-238	10	9	physical	physical	ADJ
hjic-238	10	10	and	and	CCONJ
hjic-238	10	11	chemical	chemical	NOUN
hjic-238	10	12	properties	property	NOUN
hjic-238	10	13	of	of	ADP
hjic-238	10	14	multi	multi	ADJ
hjic-238	10	15	-	-	ADJ
hjic-238	10	16	component	component	ADJ
hjic-238	10	17	systems	system	NOUN
hjic-238	10	18	(	(	PUNCT
hjic-238	10	19	gasoline	gasoline	NOUN
hjic-238	10	20	,	,	PUNCT
hjic-238	10	21	diesel	diesel	NOUN
hjic-238	10	22	oil	oil	NOUN
hjic-238	10	23	,	,	PUNCT
hjic-238	10	24	vegetable	vegetable	NOUN
hjic-238	10	25	oil	oil	NOUN
hjic-238	10	26	,	,	PUNCT
hjic-238	10	27	etc	etc	X
hjic-238	10	28	.	.	X
hjic-238	10	29	)	)	PUNCT
hjic-238	11	1	in	in	ADP
hjic-238	11	2	a	a	DET
hjic-238	11	3	fast	fast	ADJ
hjic-238	11	4	and	and	CCONJ
hjic-238	11	5	non	non	ADJ
hjic-238	11	6	-	-	ADJ
hjic-238	11	7	destructive	destructive	ADJ
hjic-238	11	8	way	way	NOUN
hjic-238	11	9	,	,	PUNCT
hjic-238	11	10	without	without	ADP
hjic-238	11	11	requiring	require	VERB
hjic-238	11	12	complex	complex	ADJ
hjic-238	11	13	sample	sample	NOUN
hjic-238	11	14	pre	pre	ADJ
hjic-238	11	15	-	-	NOUN
hjic-238	11	16	treatment	treatment	NOUN
hjic-238	11	17	and	and	CCONJ
hjic-238	11	18	sample	sample	NOUN
hjic-238	11	19	preparation	preparation	NOUN
hjic-238	11	20	[	[	X
hjic-238	11	21	1	1	NUM
hjic-238	11	22	]	]	PUNCT
hjic-238	11	23	.	.	PUNCT
hjic-238	12	1	the	the	DET
hjic-238	12	2	difficulty	difficulty	NOUN
hjic-238	12	3	of	of	ADP
hjic-238	12	4	the	the	DET
hjic-238	12	5	technique	technique	NOUN
hjic-238	12	6	is	be	AUX
hjic-238	12	7	that	that	SCONJ
hjic-238	12	8	in	in	ADP
hjic-238	12	9	the	the	DET
hjic-238	12	10	nir	nir	ADJ
hjic-238	12	11	region	region	NOUN
hjic-238	12	12	a	a	DET
hjic-238	12	13	component	component	NOUN
hjic-238	12	14	typically	typically	ADV
hjic-238	12	15	absorbs	absorb	VERB
hjic-238	12	16	at	at	ADP
hjic-238	12	17	more	more	ADJ
hjic-238	12	18	than	than	ADP
hjic-238	12	19	one	one	NUM
hjic-238	12	20	wavelength	wavelength	NOUN
hjic-238	12	21	and	and	CCONJ
hjic-238	12	22	the	the	DET
hjic-238	12	23	absorbance	absorbance	NOUN
hjic-238	12	24	at	at	ADP
hjic-238	12	25	a	a	DET
hjic-238	12	26	given	give	VERB
hjic-238	12	27	wavelength	wavelength	NOUN
hjic-238	12	28	may	may	AUX
hjic-238	12	29	have	have	VERB
hjic-238	12	30	contributions	contribution	NOUN
hjic-238	12	31	from	from	ADP
hjic-238	12	32	more	more	ADJ
hjic-238	12	33	than	than	ADP
hjic-238	12	34	one	one	NUM
hjic-238	12	35	property	property	NOUN
hjic-238	12	36	.	.	PUNCT
hjic-238	13	1	therefore	therefore	ADV
hjic-238	13	2	,	,	PUNCT
hjic-238	13	3	extracting	extract	VERB
hjic-238	13	4	relevant	relevant	ADJ
hjic-238	13	5	information	information	NOUN
hjic-238	13	6	from	from	ADP
hjic-238	13	7	the	the	DET
hjic-238	13	8	nir	nir	ADJ
hjic-238	13	9	spectra	spectra	NOUN
hjic-238	13	10	and	and	CCONJ
hjic-238	13	11	modelling	model	VERB
hjic-238	13	12	the	the	DET
hjic-238	13	13	relationship	relationship	NOUN
hjic-238	13	14	between	between	ADP
hjic-238	13	15	the	the	DET
hjic-238	13	16	spectral	spectral	ADJ
hjic-238	13	17	data	datum	NOUN
hjic-238	13	18	and	and	CCONJ
hjic-238	13	19	the	the	DET
hjic-238	13	20	component	component	NOUN
hjic-238	13	21	concentration	concentration	NOUN
hjic-238	13	22	is	be	AUX
hjic-238	13	23	a	a	DET
hjic-238	13	24	big	big	ADJ
hjic-238	13	25	challenge	challenge	NOUN
hjic-238	13	26	.	.	PUNCT
hjic-238	14	1	to	to	PART
hjic-238	14	2	extract	extract	VERB
hjic-238	14	3	the	the	DET
hjic-238	14	4	relevant	relevant	ADJ
hjic-238	14	5	information	information	NOUN
hjic-238	14	6	from	from	ADP
hjic-238	14	7	the	the	DET
hjic-238	14	8	nir	nir	ADJ
hjic-238	14	9	spectra	spectra	ADJ
hjic-238	14	10	pca	pca	PROPN
hjic-238	14	11	(	(	PUNCT
hjic-238	14	12	principal	principal	ADJ
hjic-238	14	13	component	component	NOUN
hjic-238	14	14	analysis	analysis	NOUN
hjic-238	14	15	)	)	PUNCT
hjic-238	14	16	and	and	CCONJ
hjic-238	14	17	ga	ga	PROPN
hjic-238	14	18	(	(	PUNCT
hjic-238	14	19	genetic	genetic	ADJ
hjic-238	14	20	algorithm	algorithm	NOUN
hjic-238	14	21	)	)	PUNCT
hjic-238	14	22	wavelength	wavelength	NOUN
hjic-238	14	23	selection	selection	NOUN
hjic-238	14	24	methods	method	NOUN
hjic-238	14	25	were	be	AUX
hjic-238	14	26	used	use	VERB
hjic-238	14	27	,	,	PUNCT
hjic-238	14	28	and	and	CCONJ
hjic-238	14	29	for	for	ADP
hjic-238	14	30	prediction	prediction	NOUN
hjic-238	14	31	mlr	mlr	NOUN
hjic-238	14	32	(	(	PUNCT
hjic-238	14	33	multiple	multiple	ADJ
hjic-238	14	34	linear	linear	PROPN
hjic-238	14	35	regression	regression	NOUN
hjic-238	14	36	)	)	PUNCT
hjic-238	14	37	and	and	CCONJ
hjic-238	14	38	ann	ann	PROPN
hjic-238	14	39	(	(	PUNCT
hjic-238	14	40	artificial	artificial	ADJ
hjic-238	14	41	neural	neural	ADJ
hjic-238	14	42	network	network	NOUN
hjic-238	14	43	)	)	PUNCT
hjic-238	14	44	linear	linear	ADJ
hjic-238	14	45	model	model	NOUN
hjic-238	14	46	types	type	NOUN
hjic-238	14	47	were	be	AUX
hjic-238	14	48	applied	apply	VERB
hjic-238	14	49	.	.	PUNCT
hjic-238	15	1	besides	besides	SCONJ
hjic-238	15	2	,	,	PUNCT
hjic-238	15	3	the	the	DET
hjic-238	15	4	pls	pls	INTJ
hjic-238	15	5	(	(	PUNCT
hjic-238	15	6	partial	partial	ADJ
hjic-238	15	7	least	least	ADJ
hjic-238	15	8	squares	square	NOUN
hjic-238	15	9	regression	regression	NOUN
hjic-238	15	10	)	)	PUNCT
hjic-238	15	11	method	method	NOUN
hjic-238	15	12	,	,	PUNCT
hjic-238	15	13	the	the	DET
hjic-238	15	14	most	most	ADV
hjic-238	15	15	popular	popular	ADJ
hjic-238	15	16	linear	linear	ADJ
hjic-238	15	17	calibration	calibration	NOUN
hjic-238	15	18	method	method	NOUN
hjic-238	15	19	in	in	ADP
hjic-238	15	20	near	near	ADV
hjic-238	15	21	infrared	infrared	ADJ
hjic-238	15	22	spectroscopy	spectroscopy	NOUN
hjic-238	15	23	was	be	AUX
hjic-238	15	24	applied	apply	VERB
hjic-238	15	25	as	as	ADV
hjic-238	15	26	well	well	ADV
hjic-238	15	27	.	.	PUNCT
hjic-238	16	1	materials	material	NOUN
hjic-238	16	2	and	and	CCONJ
hjic-238	16	3	methods	method	NOUN
hjic-238	16	4	oil	oil	NOUN
hjic-238	16	5	samples	sample	NOUN
hjic-238	16	6	a	a	DET
hjic-238	16	7	total	total	NOUN
hjic-238	16	8	of	of	ADP
hjic-238	16	9	144	144	NUM
hjic-238	16	10	rapeseed	rapeseed	NOUN
hjic-238	16	11	and	and	CCONJ
hjic-238	16	12	sunflower	sunflower	NOUN
hjic-238	16	13	oil	oil	NOUN
hjic-238	16	14	samples	sample	NOUN
hjic-238	16	15	were	be	AUX
hjic-238	16	16	obtained	obtain	VERB
hjic-238	16	17	from	from	ADP
hjic-238	16	18	various	various	ADJ
hjic-238	16	19	locations	location	NOUN
hjic-238	16	20	of	of	ADP
hjic-238	16	21	hungary	hungary	PROPN
hjic-238	16	22	.	.	PUNCT
hjic-238	17	1	the	the	DET
hjic-238	17	2	sample	sample	NOUN
hjic-238	17	3	set	set	NOUN
hjic-238	17	4	consisted	consist	VERB
hjic-238	17	5	of	of	ADP
hjic-238	17	6	three	three	NUM
hjic-238	17	7	types	type	NOUN
hjic-238	17	8	of	of	ADP
hjic-238	17	9	vegetable	vegetable	ADJ
hjic-238	17	10	oil	oil	NOUN
hjic-238	17	11	:	:	PUNCT
hjic-238	17	12	sunflower	sunflower	NOUN
hjic-238	17	13	oil	oil	NOUN
hjic-238	17	14	with	with	ADP
hjic-238	17	15	low	low	ADJ
hjic-238	17	16	oleic	oleic	ADJ
hjic-238	17	17	acid	acid	NOUN
hjic-238	17	18	content	content	NOUN
hjic-238	17	19	(	(	PUNCT
hjic-238	17	20	around	around	ADV
hjic-238	17	21	25	25	NUM
hjic-238	17	22	%	%	NOUN
hjic-238	17	23	)	)	PUNCT
hjic-238	17	24	,	,	PUNCT
hjic-238	17	25	rapeseed	rapeseed	NOUN
hjic-238	17	26	oil	oil	NOUN
hjic-238	17	27	with	with	ADP
hjic-238	17	28	oleic	oleic	ADJ
hjic-238	17	29	acid	acid	PROPN
hjic-238	17	30	content	content	NOUN
hjic-238	17	31	of	of	ADP
hjic-238	17	32	around	around	ADP
hjic-238	17	33	65	65	NUM
hjic-238	17	34	%	%	NOUN
hjic-238	17	35	and	and	CCONJ
hjic-238	17	36	sunflower	sunflower	NOUN
hjic-238	17	37	oil	oil	NOUN
hjic-238	17	38	with	with	ADP
hjic-238	17	39	high	high	ADJ
hjic-238	17	40	oleic	oleic	ADJ
hjic-238	17	41	acid	acid	NOUN
hjic-238	17	42	content	content	NOUN
hjic-238	17	43	(	(	PUNCT
hjic-238	17	44	around	around	ADP
hjic-238	17	45	85	85	NUM
hjic-238	17	46	%	%	NOUN
hjic-238	17	47	)	)	PUNCT
hjic-238	17	48	.	.	PUNCT
hjic-238	18	1	the	the	DET
hjic-238	18	2	sample	sample	NOUN
hjic-238	18	3	set	set	NOUN
hjic-238	18	4	was	be	AUX
hjic-238	18	5	split	split	VERB
hjic-238	18	6	in	in	ADP
hjic-238	18	7	to	to	ADP
hjic-238	18	8	two	two	NUM
hjic-238	18	9	parts	part	NOUN
hjic-238	18	10	:	:	PUNCT
hjic-238	18	11	102	102	NUM
hjic-238	18	12	samples	sample	NOUN
hjic-238	18	13	were	be	AUX
hjic-238	18	14	used	use	VERB
hjic-238	18	15	for	for	ADP
hjic-238	18	16	calibration	calibration	NOUN
hjic-238	18	17	and	and	CCONJ
hjic-238	18	18	42	42	NUM
hjic-238	18	19	samples	sample	NOUN
hjic-238	18	20	were	be	AUX
hjic-238	18	21	used	use	VERB
hjic-238	18	22	for	for	ADP
hjic-238	18	23	external	external	ADJ
hjic-238	18	24	validation	validation	NOUN
hjic-238	18	25	.	.	PUNCT
hjic-238	19	1	the	the	DET
hjic-238	19	2	fatty	fatty	NOUN
hjic-238	19	3	acid	acid	NOUN
hjic-238	19	4	compositions	composition	NOUN
hjic-238	19	5	of	of	ADP
hjic-238	19	6	the	the	DET
hjic-238	19	7	samples	sample	NOUN
hjic-238	19	8	were	be	AUX
hjic-238	19	9	determined	determine	VERB
hjic-238	19	10	using	use	VERB
hjic-238	19	11	gaschromatography	gaschromatography	NOUN
hjic-238	19	12	by	by	ADP
hjic-238	19	13	the	the	DET
hjic-238	19	14	appropriate	appropriate	ADJ
hjic-238	19	15	en	en	PROPN
hjic-238	19	16	14103	14103	NUM
hjic-238	19	17	standard	standard	ADJ
hjic-238	19	18	method	method	NOUN
hjic-238	20	1	[	[	X
hjic-238	20	2	1	1	NUM
hjic-238	20	3	]	]	PUNCT
hjic-238	20	4	.	.	PUNCT
hjic-238	21	1	spectra	spectra	ADJ
hjic-238	21	2	collection	collection	NOUN
hjic-238	21	3	to	to	PART
hjic-238	21	4	perform	perform	VERB
hjic-238	21	5	the	the	DET
hjic-238	21	6	nir	nir	ADJ
hjic-238	21	7	spectroscopic	spectroscopic	ADJ
hjic-238	21	8	analysis	analysis	NOUN
hjic-238	21	9	a	a	DET
hjic-238	21	10	brukermpa	brukermpa	NOUN
hjic-238	21	11	near	near	ADP
hjic-238	21	12	infrared	infrared	ADJ
hjic-238	21	13	spectrometer	spectrometer	NOUN
hjic-238	21	14	was	be	AUX
hjic-238	21	15	used	use	VERB
hjic-238	21	16	that	that	PRON
hjic-238	21	17	works	work	VERB
hjic-238	21	18	with	with	ADP
hjic-238	21	19	the	the	DET
hjic-238	21	20	opus	opus	ADJ
hjic-238	21	21	controller	controller	NOUN
hjic-238	21	22	software	software	NOUN
hjic-238	21	23	.	.	PUNCT
hjic-238	22	1	all	all	DET
hjic-238	22	2	samples	sample	NOUN
hjic-238	22	3	were	be	AUX
hjic-238	22	4	measured	measure	VERB
hjic-238	22	5	in	in	ADP
hjic-238	22	6	transmittance	transmittance	NOUN
hjic-238	22	7	mode	mode	NOUN
hjic-238	22	8	in	in	ADP
hjic-238	22	9	a	a	DET
hjic-238	22	10	wave	wave	NOUN
hjic-238	22	11	number	number	NOUN
hjic-238	22	12	range	range	NOUN
hjic-238	22	13	of	of	ADP
hjic-238	22	14	12000–4000	12000–4000	NUM
hjic-238	22	15	cm-1	cm-1	NOUN
hjic-238	22	16	with	with	ADP
hjic-238	22	17	a	a	DET
hjic-238	22	18	resolution	resolution	NOUN
hjic-238	22	19	of	of	ADP
hjic-238	22	20	2	2	NUM
hjic-238	22	21	cm-1	cm-1	NOUN
hjic-238	22	22	.	.	PUNCT
hjic-238	23	1	120	120	NUM
hjic-238	23	2	to	to	PART
hjic-238	23	3	produce	produce	VERB
hjic-238	23	4	suitable	suitable	ADJ
hjic-238	23	5	signal	signal	NOUN
hjic-238	23	6	/	/	SYM
hjic-238	23	7	noise	noise	NOUN
hjic-238	23	8	ratio	ratio	NOUN
hjic-238	23	9	32	32	NUM
hjic-238	23	10	scans	scan	NOUN
hjic-238	23	11	were	be	AUX
hjic-238	23	12	accumulated	accumulate	VERB
hjic-238	23	13	.	.	PUNCT
hjic-238	24	1	the	the	DET
hjic-238	24	2	spectral	spectral	ADJ
hjic-238	24	3	data	datum	NOUN
hjic-238	24	4	of	of	ADP
hjic-238	24	5	the	the	DET
hjic-238	24	6	oil	oil	NOUN
hjic-238	24	7	samples	sample	NOUN
hjic-238	24	8	were	be	AUX
hjic-238	24	9	collected	collect	VERB
hjic-238	24	10	as	as	ADP
hjic-238	24	11	absorbance	absorbance	NOUN
hjic-238	24	12	spectra	spectra	NOUN
hjic-238	24	13	using	use	VERB
hjic-238	24	14	a	a	DET
hjic-238	24	15	sample	sample	NOUN
hjic-238	24	16	thickness	thickness	NOUN
hjic-238	24	17	of	of	ADP
hjic-238	24	18	0.5	0.5	NUM
hjic-238	24	19	cm	cm	NOUN
hjic-238	24	20	.	.	PUNCT
hjic-238	25	1	the	the	DET
hjic-238	25	2	raw	raw	ADJ
hjic-238	25	3	nir	nir	ADJ
hjic-238	25	4	spectra	spectra	NOUN
hjic-238	25	5	are	be	AUX
hjic-238	25	6	shown	show	VERB
hjic-238	25	7	in	in	ADP
hjic-238	25	8	fig	fig	NOUN
hjic-238	25	9	.	.	PUNCT
hjic-238	26	1	1	1	NUM
hjic-238	27	1	[	[	X
hjic-238	27	2	3	3	NUM
hjic-238	27	3	]	]	PUNCT
hjic-238	27	4	.	.	PUNCT
hjic-238	28	1	figure	figure	NOUN
hjic-238	28	2	1	1	NUM
hjic-238	28	3	:	:	PUNCT
hjic-238	28	4	the	the	DET
hjic-238	28	5	raw	raw	ADJ
hjic-238	28	6	spectra	spectra	NOUN
hjic-238	28	7	of	of	ADP
hjic-238	28	8	the	the	DET
hjic-238	28	9	samples	sample	NOUN
hjic-238	28	10	at	at	ADP
hjic-238	28	11	the	the	DET
hjic-238	28	12	optimisation	optimisation	NOUN
hjic-238	28	13	process	process	NOUN
hjic-238	28	14	we	we	PRON
hjic-238	28	15	found	find	VERB
hjic-238	28	16	that	that	SCONJ
hjic-238	28	17	better	well	ADJ
hjic-238	28	18	approximation	approximation	NOUN
hjic-238	28	19	can	can	AUX
hjic-238	28	20	be	be	AUX
hjic-238	28	21	achieved	achieve	VERB
hjic-238	28	22	by	by	ADP
hjic-238	28	23	using	use	VERB
hjic-238	28	24	a	a	DET
hjic-238	28	25	restricted	restricted	ADJ
hjic-238	28	26	wavenumber	wavenumber	NOUN
hjic-238	28	27	range	range	NOUN
hjic-238	28	28	instead	instead	ADV
hjic-238	28	29	of	of	ADP
hjic-238	28	30	the	the	DET
hjic-238	28	31	full	full	ADJ
hjic-238	28	32	range	range	NOUN
hjic-238	28	33	,	,	PUNCT
hjic-238	28	34	therefore	therefore	ADV
hjic-238	28	35	the	the	DET
hjic-238	28	36	experiments	experiment	NOUN
hjic-238	28	37	were	be	AUX
hjic-238	28	38	carried	carry	VERB
hjic-238	28	39	out	out	ADP
hjic-238	28	40	on	on	ADP
hjic-238	28	41	a	a	DET
hjic-238	28	42	range	range	NOUN
hjic-238	28	43	of	of	ADP
hjic-238	28	44	5730	5730	NUM
hjic-238	28	45	–	–	PUNCT
hjic-238	28	46	4570	4570	NUM
hjic-238	28	47	cm-1	cm-1	NOUN
hjic-238	28	48	.	.	PUNCT
hjic-238	29	1	calibration	calibration	NOUN
hjic-238	29	2	and	and	CCONJ
hjic-238	29	3	optimisation	optimisation	NOUN
hjic-238	29	4	for	for	ADP
hjic-238	29	5	calibration	calibration	NOUN
hjic-238	29	6	102	102	NUM
hjic-238	29	7	oil	oil	NOUN
hjic-238	29	8	samples	sample	NOUN
hjic-238	29	9	were	be	AUX
hjic-238	29	10	used	use	VERB
hjic-238	29	11	.	.	PUNCT
hjic-238	30	1	the	the	DET
hjic-238	30	2	calibration	calibration	NOUN
hjic-238	30	3	of	of	ADP
hjic-238	30	4	each	each	DET
hjic-238	30	5	model	model	NOUN
hjic-238	30	6	type	type	NOUN
hjic-238	30	7	was	be	AUX
hjic-238	30	8	carried	carry	VERB
hjic-238	30	9	out	out	ADP
hjic-238	30	10	using	use	VERB
hjic-238	30	11	leave	leave	VERB
hjic-238	30	12	-	-	PUNCT
hjic-238	30	13	one	one	NUM
hjic-238	30	14	-	-	PUNCT
hjic-238	30	15	outcross	outcross	NOUN
hjic-238	30	16	-	-	PUNCT
hjic-238	30	17	validation	validation	NOUN
hjic-238	30	18	method	method	NOUN
hjic-238	30	19	.	.	PUNCT
hjic-238	31	1	thus	thus	ADV
hjic-238	31	2	,	,	PUNCT
hjic-238	31	3	the	the	DET
hjic-238	31	4	accuracy	accuracy	NOUN
hjic-238	31	5	of	of	ADP
hjic-238	31	6	a	a	DET
hjic-238	31	7	given	give	VERB
hjic-238	31	8	model	model	NOUN
hjic-238	31	9	could	could	AUX
hjic-238	31	10	be	be	AUX
hjic-238	31	11	expressed	express	VERB
hjic-238	31	12	by	by	ADP
hjic-238	31	13	the	the	DET
hjic-238	31	14	value	value	NOUN
hjic-238	31	15	of	of	ADP
hjic-238	31	16	the	the	DET
hjic-238	31	17	root	root	NOUN
hjic-238	31	18	mean	mean	VERB
hjic-238	31	19	squared	square	VERB
hjic-238	31	20	error	error	NOUN
hjic-238	31	21	of	of	ADP
hjic-238	31	22	cross	cross	NOUN
hjic-238	31	23	validation	validation	NOUN
hjic-238	31	24	(	(	PUNCT
hjic-238	31	25	rmsecv	rmsecv	NOUN
hjic-238	31	26	)	)	PUNCT
hjic-238	31	27	.	.	PUNCT
hjic-238	32	1	this	this	DET
hjic-238	32	2	value	value	NOUN
hjic-238	32	3	was	be	AUX
hjic-238	32	4	the	the	DET
hjic-238	32	5	basis	basis	NOUN
hjic-238	32	6	of	of	ADP
hjic-238	32	7	the	the	DET
hjic-238	32	8	determination	determination	NOUN
hjic-238	32	9	of	of	ADP
hjic-238	32	10	the	the	DET
hjic-238	32	11	optimal	optimal	ADJ
hjic-238	32	12	model	model	NOUN
hjic-238	32	13	parameters	parameter	NOUN
hjic-238	32	14	[	[	X
hjic-238	32	15	1	1	NUM
hjic-238	32	16	,	,	PUNCT
hjic-238	32	17	5	5	NUM
hjic-238	32	18	]	]	PUNCT
hjic-238	32	19	.	.	PUNCT
hjic-238	33	1	there	there	PRON
hjic-238	33	2	are	be	VERB
hjic-238	33	3	several	several	ADJ
hjic-238	33	4	model	model	NOUN
hjic-238	33	5	parameters	parameter	NOUN
hjic-238	33	6	that	that	PRON
hjic-238	33	7	effect	effect	VERB
hjic-238	33	8	the	the	DET
hjic-238	33	9	performance	performance	NOUN
hjic-238	33	10	of	of	ADP
hjic-238	33	11	a	a	DET
hjic-238	33	12	given	give	VERB
hjic-238	33	13	model	model	NOUN
hjic-238	33	14	type	type	NOUN
hjic-238	33	15	.	.	PUNCT
hjic-238	34	1	to	to	PART
hjic-238	34	2	achieve	achieve	VERB
hjic-238	34	3	the	the	DET
hjic-238	34	4	best	good	ADJ
hjic-238	34	5	approximation	approximation	NOUN
hjic-238	34	6	we	we	PRON
hjic-238	34	7	had	have	VERB
hjic-238	34	8	to	to	PART
hjic-238	34	9	find	find	VERB
hjic-238	34	10	the	the	DET
hjic-238	34	11	optimal	optimal	ADJ
hjic-238	34	12	model	model	NOUN
hjic-238	34	13	parameter	parameter	NOUN
hjic-238	34	14	combination	combination	NOUN
hjic-238	34	15	for	for	ADP
hjic-238	34	16	each	each	DET
hjic-238	34	17	model	model	NOUN
hjic-238	34	18	.	.	PUNCT
hjic-238	35	1	this	this	DET
hjic-238	35	2	procedure	procedure	NOUN
hjic-238	35	3	is	be	AUX
hjic-238	35	4	the	the	DET
hjic-238	35	5	model	model	NOUN
hjic-238	35	6	optimisation	optimisation	NOUN
hjic-238	35	7	that	that	PRON
hjic-238	35	8	was	be	AUX
hjic-238	35	9	conducted	conduct	VERB
hjic-238	35	10	using	use	VERB
hjic-238	35	11	leaveone	leaveone	NOUN
hjic-238	35	12	-	-	PUNCT
hjic-238	35	13	out	out	ADP
hjic-238	35	14	-	-	PUNCT
hjic-238	35	15	cross	cross	NOUN
hjic-238	35	16	-	-	ADJ
hjic-238	35	17	validation	validation	ADJ
hjic-238	35	18	method	method	NOUN
hjic-238	35	19	.	.	PUNCT
hjic-238	36	1	the	the	DET
hjic-238	36	2	model	model	NOUN
hjic-238	36	3	parameters	parameter	NOUN
hjic-238	36	4	that	that	PRON
hjic-238	36	5	were	be	AUX
hjic-238	36	6	varied	varied	ADJ
hjic-238	36	7	during	during	ADP
hjic-238	36	8	the	the	DET
hjic-238	36	9	optimisation	optimisation	NOUN
hjic-238	36	10	process	process	NOUN
hjic-238	36	11	in	in	ADP
hjic-238	36	12	respect	respect	NOUN
hjic-238	36	13	of	of	ADP
hjic-238	36	14	each	each	DET
hjic-238	36	15	model	model	NOUN
hjic-238	36	16	type	type	NOUN
hjic-238	36	17	are	be	AUX
hjic-238	36	18	shown	show	VERB
hjic-238	36	19	in	in	ADP
hjic-238	36	20	table	table	NOUN
hjic-238	36	21	1	1	NUM
hjic-238	36	22	.	.	PUNCT
hjic-238	36	23	table	table	NOUN
hjic-238	36	24	1	1	NUM
hjic-238	36	25	:	:	PUNCT
hjic-238	36	26	the	the	DET
hjic-238	36	27	varied	varied	ADJ
hjic-238	36	28	parameters	parameter	NOUN
hjic-238	36	29	in	in	ADP
hjic-238	36	30	optimisation	optimisation	NOUN
hjic-238	36	31	process	process	NOUN
hjic-238	36	32	model	model	NOUN
hjic-238	36	33	type	type	NOUN
hjic-238	36	34	parameter	parameter	NOUN
hjic-238	36	35	value	value	NOUN
hjic-238	36	36	pca	pca	PROPN
hjic-238	36	37	-	-	PUNCT
hjic-238	36	38	mlr	mlr	NOUN
hjic-238	36	39	number	number	NOUN
hjic-238	36	40	of	of	ADP
hjic-238	36	41	principal	principal	ADJ
hjic-238	36	42	components	component	NOUN
hjic-238	36	43	1	1	NUM
hjic-238	36	44	-	-	SYM
hjic-238	36	45	20	20	NUM
hjic-238	36	46	pls	pls	NOUN
hjic-238	36	47	number	number	NOUN
hjic-238	36	48	of	of	ADP
hjic-238	36	49	latent	latent	NOUN
hjic-238	36	50	variables	variable	VERB
hjic-238	36	51	1	1	NUM
hjic-238	36	52	-	-	SYM
hjic-238	36	53	20	20	NUM
hjic-238	36	54	pca	pca	PROPN
hjic-238	36	55	-	-	PUNCT
hjic-238	36	56	ann	ann	PROPN
hjic-238	36	57	number	number	NOUN
hjic-238	36	58	of	of	ADP
hjic-238	36	59	principal	principal	ADJ
hjic-238	36	60	components	component	NOUN
hjic-238	36	61	1	1	NUM
hjic-238	36	62	-	-	SYM
hjic-238	36	63	20	20	NUM
hjic-238	36	64	number	number	NOUN
hjic-238	36	65	of	of	ADP
hjic-238	36	66	variables	variable	NOUN
hjic-238	36	67	1	1	NUM
hjic-238	36	68	-	-	SYM
hjic-238	36	69	20	20	NUM
hjic-238	36	70	number	number	NOUN
hjic-238	36	71	of	of	ADP
hjic-238	36	72	individuals	individual	NOUN
hjic-238	36	73	in	in	ADP
hjic-238	36	74	the	the	DET
hjic-238	36	75	population	population	NOUN
hjic-238	36	76	1	1	NUM
hjic-238	36	77	-	-	SYM
hjic-238	36	78	30	30	NUM
hjic-238	36	79	ga	ga	PROPN
hjic-238	36	80	-	-	PUNCT
hjic-238	36	81	ann	ann	PROPN
hjic-238	36	82	number	number	NOUN
hjic-238	36	83	of	of	ADP
hjic-238	36	84	generations	generation	NOUN
hjic-238	36	85	1	1	NUM
hjic-238	36	86	-	-	SYM
hjic-238	36	87	10	10	NUM
hjic-238	36	88	beside	beside	ADP
hjic-238	36	89	these	these	DET
hjic-238	36	90	parameters	parameter	NOUN
hjic-238	36	91	,	,	PUNCT
hjic-238	36	92	spectral	spectral	ADJ
hjic-238	36	93	preprocessing	preprocessing	NOUN
hjic-238	36	94	methods	method	NOUN
hjic-238	36	95	were	be	AUX
hjic-238	36	96	also	also	ADV
hjic-238	36	97	varied	varied	ADJ
hjic-238	36	98	along	along	ADP
hjic-238	36	99	the	the	DET
hjic-238	36	100	optimisation	optimisation	NOUN
hjic-238	36	101	processes	process	NOUN
hjic-238	36	102	.	.	PUNCT
hjic-238	37	1	these	these	DET
hjic-238	37	2	methods	method	NOUN
hjic-238	37	3	were	be	AUX
hjic-238	37	4	the	the	DET
hjic-238	37	5	mean	mean	ADJ
hjic-238	37	6	-	-	PUNCT
hjic-238	37	7	centering	centering	NOUN
hjic-238	37	8	,	,	PUNCT
hjic-238	37	9	the	the	DET
hjic-238	37	10	autoscaling	autoscaling	NOUN
hjic-238	37	11	,	,	PUNCT
hjic-238	37	12	and	and	CCONJ
hjic-238	37	13	the	the	DET
hjic-238	37	14	range	range	NOUN
hjic-238	37	15	-	-	PUNCT
hjic-238	37	16	scaling	scale	VERB
hjic-238	37	17	[	[	X
hjic-238	37	18	2	2	NUM
hjic-238	37	19	]	]	PUNCT
hjic-238	37	20	.	.	PUNCT
hjic-238	38	1	external	external	ADJ
hjic-238	38	2	validation	validation	NOUN
hjic-238	38	3	in	in	ADP
hjic-238	38	4	the	the	DET
hjic-238	38	5	course	course	NOUN
hjic-238	38	6	of	of	ADP
hjic-238	38	7	the	the	DET
hjic-238	38	8	external	external	ADJ
hjic-238	38	9	validation	validation	NOUN
hjic-238	38	10	the	the	DET
hjic-238	38	11	calibration	calibration	NOUN
hjic-238	38	12	models	model	NOUN
hjic-238	38	13	were	be	AUX
hjic-238	38	14	tested	test	VERB
hjic-238	38	15	with	with	ADP
hjic-238	38	16	vegetable	vegetable	NOUN
hjic-238	38	17	oil	oil	NOUN
hjic-238	38	18	samples	sample	NOUN
hjic-238	38	19	of	of	ADP
hjic-238	38	20	which	which	DET
hjic-238	38	21	oleic	oleic	ADJ
hjic-238	38	22	acid	acid	PROPN
hjic-238	38	23	content	content	NOUN
hjic-238	38	24	was	be	AUX
hjic-238	38	25	known	know	VERB
hjic-238	38	26	and	and	CCONJ
hjic-238	38	27	was	be	AUX
hjic-238	38	28	not	not	PART
hjic-238	38	29	included	include	VERB
hjic-238	38	30	in	in	ADP
hjic-238	38	31	the	the	DET
hjic-238	38	32	calibration	calibration	NOUN
hjic-238	38	33	sample	sample	NOUN
hjic-238	38	34	set	set	VERB
hjic-238	38	35	.	.	PUNCT
hjic-238	39	1	for	for	ADP
hjic-238	39	2	the	the	DET
hjic-238	39	3	experiment	experiment	NOUN
hjic-238	39	4	42	42	NUM
hjic-238	39	5	oil	oil	NOUN
hjic-238	39	6	samples	sample	NOUN
hjic-238	39	7	were	be	AUX
hjic-238	39	8	used	use	VERB
hjic-238	39	9	.	.	PUNCT
hjic-238	40	1	as	as	ADP
hjic-238	40	2	the	the	DET
hjic-238	40	3	result	result	NOUN
hjic-238	40	4	of	of	ADP
hjic-238	40	5	this	this	DET
hjic-238	40	6	experiment	experiment	NOUN
hjic-238	40	7	the	the	DET
hjic-238	40	8	prediction	prediction	NOUN
hjic-238	40	9	efficiency	efficiency	NOUN
hjic-238	40	10	of	of	ADP
hjic-238	40	11	the	the	DET
hjic-238	40	12	models	model	NOUN
hjic-238	40	13	could	could	AUX
hjic-238	40	14	be	be	AUX
hjic-238	40	15	concluded	conclude	VERB
hjic-238	40	16	by	by	ADP
hjic-238	40	17	the	the	DET
hjic-238	40	18	value	value	NOUN
hjic-238	40	19	of	of	ADP
hjic-238	40	20	the	the	DET
hjic-238	40	21	root	root	NOUN
hjic-238	40	22	mean	mean	VERB
hjic-238	40	23	squared	square	VERB
hjic-238	40	24	error	error	NOUN
hjic-238	40	25	of	of	ADP
hjic-238	40	26	the	the	DET
hjic-238	40	27	prediction	prediction	NOUN
hjic-238	40	28	(	(	PUNCT
hjic-238	40	29	rmsep	rmsep	PROPN
hjic-238	40	30	)	)	PUNCT
hjic-238	40	31	.	.	PUNCT
hjic-238	41	1	results	result	NOUN
hjic-238	41	2	and	and	CCONJ
hjic-238	41	3	discussion	discussion	NOUN
hjic-238	41	4	pca	pca	PROPN
hjic-238	41	5	-	-	PUNCT
hjic-238	41	6	mlr	mlr	PROPN
hjic-238	41	7	model	model	NOUN
hjic-238	41	8	the	the	DET
hjic-238	41	9	pca	pca	PROPN
hjic-238	41	10	-	-	PUNCT
hjic-238	41	11	mlr	mlr	NOUN
hjic-238	41	12	technique	technique	NOUN
hjic-238	41	13	is	be	AUX
hjic-238	41	14	the	the	DET
hjic-238	41	15	simplest	simple	ADJ
hjic-238	41	16	approach	approach	NOUN
hjic-238	41	17	of	of	ADP
hjic-238	41	18	the	the	DET
hjic-238	41	19	linear	linear	PROPN
hjic-238	41	20	calibration	calibration	NOUN
hjic-238	41	21	model	model	NOUN
hjic-238	41	22	that	that	PRON
hjic-238	41	23	is	be	AUX
hjic-238	41	24	also	also	ADV
hjic-238	41	25	called	call	VERB
hjic-238	41	26	principal	principal	ADJ
hjic-238	41	27	component	component	NOUN
hjic-238	41	28	regression	regression	NOUN
hjic-238	41	29	(	(	PUNCT
hjic-238	41	30	pcr	pcr	NOUN
hjic-238	41	31	)	)	PUNCT
hjic-238	41	32	.	.	PUNCT
hjic-238	42	1	the	the	DET
hjic-238	42	2	pca	pca	PROPN
hjic-238	42	3	is	be	AUX
hjic-238	42	4	widely	widely	ADV
hjic-238	42	5	used	use	VERB
hjic-238	42	6	in	in	ADP
hjic-238	42	7	statistics	statistic	NOUN
hjic-238	42	8	to	to	PART
hjic-238	42	9	reduce	reduce	VERB
hjic-238	42	10	the	the	DET
hjic-238	42	11	number	number	NOUN
hjic-238	42	12	of	of	ADP
hjic-238	42	13	the	the	DET
hjic-238	42	14	variables	variable	NOUN
hjic-238	42	15	of	of	ADP
hjic-238	42	16	a	a	DET
hjic-238	42	17	data	data	NOUN
hjic-238	42	18	matrix	matrix	NOUN
hjic-238	42	19	.	.	PUNCT
hjic-238	43	1	in	in	ADP
hjic-238	43	2	the	the	DET
hjic-238	43	3	nir	nir	NOUN
hjic-238	43	4	spectroscopy	spectroscopy	VERB
hjic-238	43	5	the	the	DET
hjic-238	43	6	pca	pca	NOUN
hjic-238	43	7	algorithm	algorithm	NOUN
hjic-238	43	8	replaces	replace	VERB
hjic-238	43	9	the	the	DET
hjic-238	43	10	original	original	ADJ
hjic-238	43	11	spectra	spectra	ADJ
hjic-238	43	12	data	data	NOUN
hjic-238	43	13	matrix	matrix	NOUN
hjic-238	43	14	with	with	ADP
hjic-238	43	15	some	some	DET
hjic-238	43	16	orthogonal	orthogonal	ADJ
hjic-238	43	17	vectors	vector	NOUN
hjic-238	43	18	(	(	PUNCT
hjic-238	43	19	principal	principal	ADJ
hjic-238	43	20	components	component	NOUN
hjic-238	43	21	)	)	PUNCT
hjic-238	43	22	such	such	ADJ
hjic-238	43	23	that	that	SCONJ
hjic-238	43	24	the	the	DET
hjic-238	43	25	first	first	ADJ
hjic-238	43	26	vector	vector	NOUN
hjic-238	43	27	(	(	PUNCT
hjic-238	43	28	first	first	ADJ
hjic-238	43	29	principal	principal	ADJ
hjic-238	43	30	component	component	NOUN
hjic-238	43	31	)	)	PUNCT
hjic-238	43	32	represents	represent	VERB
hjic-238	43	33	the	the	DET
hjic-238	43	34	greatest	great	ADJ
hjic-238	43	35	variance	variance	NOUN
hjic-238	43	36	of	of	ADP
hjic-238	43	37	the	the	DET
hjic-238	43	38	data	datum	NOUN
hjic-238	43	39	set	set	VERB
hjic-238	43	40	,	,	PUNCT
hjic-238	43	41	the	the	DET
hjic-238	43	42	second	second	ADJ
hjic-238	43	43	vector	vector	NOUN
hjic-238	43	44	(	(	PUNCT
hjic-238	43	45	second	second	ADJ
hjic-238	43	46	principal	principal	ADJ
hjic-238	43	47	component	component	NOUN
hjic-238	43	48	)	)	PUNCT
hjic-238	43	49	represents	represent	VERB
hjic-238	43	50	the	the	DET
hjic-238	43	51	second	second	ADJ
hjic-238	43	52	greatest	great	ADJ
hjic-238	43	53	variance	variance	NOUN
hjic-238	43	54	of	of	ADP
hjic-238	43	55	the	the	DET
hjic-238	43	56	data	datum	NOUN
hjic-238	43	57	set	set	VERB
hjic-238	43	58	,	,	PUNCT
hjic-238	43	59	and	and	CCONJ
hjic-238	43	60	so	so	ADV
hjic-238	43	61	on	on	ADV
hjic-238	43	62	.	.	PUNCT
hjic-238	44	1	thus	thus	ADV
hjic-238	44	2	,	,	PUNCT
hjic-238	44	3	roughly	roughly	ADV
hjic-238	44	4	say	say	VERB
hjic-238	44	5	,	,	PUNCT
hjic-238	44	6	the	the	DET
hjic-238	44	7	pca	pca	NOUN
hjic-238	44	8	selects	select	VERB
hjic-238	44	9	those	those	DET
hjic-238	44	10	wavenumber	wavenumber	NOUN
hjic-238	44	11	regions	region	NOUN
hjic-238	44	12	where	where	SCONJ
hjic-238	44	13	the	the	DET
hjic-238	44	14	absorbance	absorbance	NOUN
hjic-238	44	15	of	of	ADP
hjic-238	44	16	the	the	DET
hjic-238	44	17	given	give	VERB
hjic-238	44	18	component	component	NOUN
hjic-238	44	19	is	be	AUX
hjic-238	44	20	the	the	DET
hjic-238	44	21	most	most	ADV
hjic-238	44	22	plausible	plausible	ADJ
hjic-238	44	23	.	.	PUNCT
hjic-238	45	1	in	in	ADP
hjic-238	45	2	pcr	pcr	PROPN
hjic-238	45	3	the	the	DET
hjic-238	45	4	principal	principal	ADJ
hjic-238	45	5	components	component	NOUN
hjic-238	45	6	are	be	AUX
hjic-238	45	7	used	use	VERB
hjic-238	45	8	as	as	ADP
hjic-238	45	9	the	the	DET
hjic-238	45	10	independent	independent	ADJ
hjic-238	45	11	variables	variable	NOUN
hjic-238	45	12	of	of	ADP
hjic-238	45	13	the	the	DET
hjic-238	45	14	multiple	multiple	ADJ
hjic-238	45	15	linear	linear	PROPN
hjic-238	45	16	regression	regression	NOUN
hjic-238	45	17	,	,	PUNCT
hjic-238	45	18	thus	thus	ADV
hjic-238	45	19	it	it	PRON
hjic-238	45	20	could	could	AUX
hjic-238	45	21	be	be	AUX
hjic-238	45	22	applied	apply	VERB
hjic-238	45	23	to	to	PART
hjic-238	45	24	estimate	estimate	VERB
hjic-238	45	25	the	the	DET
hjic-238	45	26	concentration	concentration	NOUN
hjic-238	45	27	of	of	ADP
hjic-238	45	28	the	the	DET
hjic-238	45	29	given	give	VERB
hjic-238	45	30	component	component	NOUN
hjic-238	45	31	[	[	X
hjic-238	45	32	2	2	NUM
hjic-238	45	33	]	]	PUNCT
hjic-238	45	34	.	.	PUNCT
hjic-238	46	1	figure	figure	NOUN
hjic-238	46	2	2	2	NUM
hjic-238	46	3	:	:	PUNCT
hjic-238	46	4	the	the	DET
hjic-238	46	5	result	result	NOUN
hjic-238	46	6	of	of	ADP
hjic-238	46	7	the	the	DET
hjic-238	46	8	external	external	ADJ
hjic-238	46	9	validation	validation	NOUN
hjic-238	46	10	in	in	ADP
hjic-238	46	11	respect	respect	NOUN
hjic-238	46	12	of	of	ADP
hjic-238	46	13	pca	pca	PROPN
hjic-238	46	14	-	-	PUNCT
hjic-238	46	15	mlr	mlr	PROPN
hjic-238	46	16	model	model	NOUN
hjic-238	46	17	the	the	DET
hjic-238	46	18	result	result	NOUN
hjic-238	46	19	of	of	ADP
hjic-238	46	20	the	the	DET
hjic-238	46	21	external	external	ADJ
hjic-238	46	22	validation	validation	NOUN
hjic-238	46	23	of	of	ADP
hjic-238	46	24	pca	pca	PROPN
hjic-238	46	25	-	-	PUNCT
hjic-238	46	26	mlr	mlr	NOUN
hjic-238	46	27	model	model	NOUN
hjic-238	46	28	can	can	AUX
hjic-238	46	29	be	be	AUX
hjic-238	46	30	seen	see	VERB
hjic-238	46	31	in	in	ADP
hjic-238	46	32	fig	fig	NOUN
hjic-238	46	33	.	.	PUNCT
hjic-238	47	1	2	2	X
hjic-238	47	2	.	.	X
hjic-238	47	3	in	in	ADP
hjic-238	47	4	the	the	DET
hjic-238	47	5	figure	figure	NOUN
hjic-238	47	6	the	the	DET
hjic-238	47	7	true	true	ADJ
hjic-238	47	8	concentration	concentration	NOUN
hjic-238	47	9	values	value	NOUN
hjic-238	47	10	of	of	ADP
hjic-238	47	11	oleic	oleic	NOUN
hjic-238	47	12	acid	acid	PROPN
hjic-238	47	13	were	be	AUX
hjic-238	47	14	plotted	plot	VERB
hjic-238	47	15	as	as	ADP
hjic-238	47	16	a	a	DET
hjic-238	47	17	121	121	NUM
hjic-238	47	18	function	function	NOUN
hjic-238	47	19	of	of	ADP
hjic-238	47	20	the	the	DET
hjic-238	47	21	predicted	predict	VERB
hjic-238	47	22	values	value	NOUN
hjic-238	47	23	,	,	PUNCT
hjic-238	47	24	therefore	therefore	ADV
hjic-238	47	25	the	the	DET
hjic-238	47	26	straight	straight	ADJ
hjic-238	47	27	line	line	NOUN
hjic-238	47	28	represents	represent	VERB
hjic-238	47	29	the	the	DET
hjic-238	47	30	true	true	ADJ
hjic-238	47	31	,	,	PUNCT
hjic-238	47	32	the	the	DET
hjic-238	47	33	dots	dot	NOUN
hjic-238	47	34	represent	represent	VERB
hjic-238	47	35	the	the	DET
hjic-238	47	36	predicted	predict	VERB
hjic-238	47	37	values	value	NOUN
hjic-238	47	38	.	.	PUNCT
hjic-238	48	1	the	the	DET
hjic-238	48	2	rmsep	rmsep	ADJ
hjic-238	48	3	value	value	NOUN
hjic-238	48	4	that	that	PRON
hjic-238	48	5	could	could	AUX
hjic-238	48	6	be	be	AUX
hjic-238	48	7	achieved	achieve	VERB
hjic-238	48	8	with	with	ADP
hjic-238	48	9	this	this	DET
hjic-238	48	10	model	model	NOUN
hjic-238	48	11	type	type	NOUN
hjic-238	48	12	at	at	ADP
hjic-238	48	13	the	the	DET
hjic-238	48	14	optimal	optimal	ADJ
hjic-238	48	15	model	model	NOUN
hjic-238	48	16	parameters	parameter	NOUN
hjic-238	48	17	was	be	AUX
hjic-238	48	18	3.89	3.89	NUM
hjic-238	48	19	.	.	PUNCT
hjic-238	49	1	pls	pls	PROPN
hjic-238	49	2	model	model	VERB
hjic-238	49	3	this	this	DET
hjic-238	49	4	approach	approach	NOUN
hjic-238	49	5	is	be	AUX
hjic-238	49	6	the	the	DET
hjic-238	49	7	most	most	ADV
hjic-238	49	8	popular	popular	ADJ
hjic-238	49	9	chemometric	chemometric	ADJ
hjic-238	49	10	method	method	NOUN
hjic-238	49	11	for	for	ADP
hjic-238	49	12	calibration	calibration	NOUN
hjic-238	49	13	model	model	NOUN
hjic-238	49	14	creation	creation	NOUN
hjic-238	49	15	.	.	PUNCT
hjic-238	50	1	the	the	DET
hjic-238	50	2	pls	pls	PROPN
hjic-238	50	3	regression	regression	NOUN
hjic-238	50	4	is	be	AUX
hjic-238	50	5	a	a	DET
hjic-238	50	6	generalisation	generalisation	NOUN
hjic-238	50	7	of	of	ADP
hjic-238	50	8	the	the	DET
hjic-238	50	9	pca	pca	PROPN
hjic-238	50	10	-	-	PUNCT
hjic-238	50	11	mlr	mlr	NOUN
hjic-238	50	12	method	method	NOUN
hjic-238	50	13	and	and	CCONJ
hjic-238	50	14	that	that	PRON
hjic-238	50	15	simultaneously	simultaneously	ADV
hjic-238	50	16	executes	execute	VERB
hjic-238	50	17	the	the	DET
hjic-238	50	18	dimension	dimension	NOUN
hjic-238	50	19	reduction	reduction	NOUN
hjic-238	50	20	of	of	ADP
hjic-238	50	21	the	the	DET
hjic-238	50	22	spectra	spectra	ADJ
hjic-238	50	23	data	datum	NOUN
hjic-238	50	24	matrix	matrix	NOUN
hjic-238	50	25	and	and	CCONJ
hjic-238	50	26	the	the	DET
hjic-238	50	27	regression	regression	NOUN
hjic-238	50	28	.	.	PUNCT
hjic-238	51	1	the	the	DET
hjic-238	51	2	main	main	ADJ
hjic-238	51	3	advantage	advantage	NOUN
hjic-238	51	4	of	of	ADP
hjic-238	51	5	this	this	DET
hjic-238	51	6	technique	technique	NOUN
hjic-238	51	7	in	in	ADP
hjic-238	51	8	contrast	contrast	NOUN
hjic-238	51	9	to	to	ADP
hjic-238	51	10	pcr	pcr	NOUN
hjic-238	51	11	is	be	AUX
hjic-238	51	12	that	that	SCONJ
hjic-238	51	13	the	the	DET
hjic-238	51	14	pls	pls	NOUN
hjic-238	51	15	takes	take	VERB
hjic-238	51	16	into	into	ADP
hjic-238	51	17	account	account	NOUN
hjic-238	51	18	the	the	DET
hjic-238	51	19	correlation	correlation	NOUN
hjic-238	51	20	between	between	ADP
hjic-238	51	21	the	the	DET
hjic-238	51	22	spectral	spectral	ADJ
hjic-238	51	23	data	datum	NOUN
hjic-238	51	24	and	and	CCONJ
hjic-238	51	25	the	the	DET
hjic-238	51	26	component	component	NOUN
hjic-238	51	27	concentration	concentration	NOUN
hjic-238	51	28	as	as	ADV
hjic-238	51	29	well	well	ADV
hjic-238	51	30	,	,	PUNCT
hjic-238	51	31	while	while	SCONJ
hjic-238	51	32	extracting	extract	VERB
hjic-238	51	33	the	the	DET
hjic-238	51	34	latent	latent	NOUN
hjic-238	51	35	variables	variable	NOUN
hjic-238	51	36	from	from	ADP
hjic-238	51	37	the	the	DET
hjic-238	51	38	original	original	ADJ
hjic-238	51	39	data	datum	NOUN
hjic-238	51	40	matrix	matrix	NOUN
hjic-238	51	41	,	,	PUNCT
hjic-238	51	42	thus	thus	ADV
hjic-238	51	43	the	the	DET
hjic-238	51	44	latent	latent	NOUN
hjic-238	51	45	variables	variable	NOUN
hjic-238	51	46	refer	refer	VERB
hjic-238	51	47	to	to	ADP
hjic-238	51	48	the	the	DET
hjic-238	51	49	given	give	VERB
hjic-238	51	50	component	component	NOUN
hjic-238	51	51	directly	directly	ADV
hjic-238	51	52	[	[	X
hjic-238	51	53	2	2	NUM
hjic-238	51	54	]	]	PUNCT
hjic-238	51	55	.	.	PUNCT
hjic-238	52	1	the	the	DET
hjic-238	52	2	result	result	NOUN
hjic-238	52	3	of	of	ADP
hjic-238	52	4	the	the	DET
hjic-238	52	5	external	external	ADJ
hjic-238	52	6	validation	validation	NOUN
hjic-238	52	7	of	of	ADP
hjic-238	52	8	pls	pls	NOUN
hjic-238	52	9	model	model	NOUN
hjic-238	52	10	can	can	AUX
hjic-238	52	11	be	be	AUX
hjic-238	52	12	seen	see	VERB
hjic-238	52	13	in	in	ADP
hjic-238	52	14	fig	fig	NOUN
hjic-238	52	15	.	.	PUNCT
hjic-238	53	1	3	3	X
hjic-238	53	2	.	.	X
hjic-238	53	3	the	the	DET
hjic-238	53	4	rmsep	rmsep	ADJ
hjic-238	53	5	value	value	NOUN
hjic-238	53	6	of	of	ADP
hjic-238	53	7	the	the	DET
hjic-238	53	8	external	external	ADJ
hjic-238	53	9	validation	validation	NOUN
hjic-238	53	10	of	of	ADP
hjic-238	53	11	pls	pls	PROPN
hjic-238	53	12	method	method	NOUN
hjic-238	53	13	was	be	AUX
hjic-238	53	14	1.65	1.65	NUM
hjic-238	53	15	.	.	PUNCT
hjic-238	54	1	figure	figure	NOUN
hjic-238	54	2	3	3	NUM
hjic-238	54	3	:	:	PUNCT
hjic-238	54	4	the	the	DET
hjic-238	54	5	result	result	NOUN
hjic-238	54	6	of	of	ADP
hjic-238	54	7	the	the	DET
hjic-238	54	8	external	external	ADJ
hjic-238	54	9	validation	validation	NOUN
hjic-238	54	10	in	in	ADP
hjic-238	54	11	respect	respect	NOUN
hjic-238	54	12	of	of	ADP
hjic-238	54	13	pls	pls	PROPN
hjic-238	54	14	model	model	PROPN
hjic-238	54	15	pca	pca	PROPN
hjic-238	54	16	-	-	PROPN
hjic-238	54	17	ann	ann	PROPN
hjic-238	54	18	model	model	NOUN
hjic-238	54	19	this	this	DET
hjic-238	54	20	approach	approach	NOUN
hjic-238	54	21	is	be	AUX
hjic-238	54	22	the	the	DET
hjic-238	54	23	combination	combination	NOUN
hjic-238	54	24	of	of	ADP
hjic-238	54	25	the	the	DET
hjic-238	54	26	pca	pca	PROPN
hjic-238	54	27	wavenumber	wavenumber	NOUN
hjic-238	54	28	selection	selection	NOUN
hjic-238	54	29	method	method	NOUN
hjic-238	54	30	and	and	CCONJ
hjic-238	54	31	the	the	DET
hjic-238	54	32	ann	ann	PROPN
hjic-238	54	33	model	model	NOUN
hjic-238	54	34	type	type	NOUN
hjic-238	54	35	.	.	PUNCT
hjic-238	55	1	the	the	DET
hjic-238	55	2	artificial	artificial	ADJ
hjic-238	55	3	neural	neural	ADJ
hjic-238	55	4	networks	network	NOUN
hjic-238	55	5	can	can	AUX
hjic-238	55	6	be	be	AUX
hjic-238	55	7	found	find	VERB
hjic-238	55	8	in	in	ADP
hjic-238	55	9	application	application	NOUN
hjic-238	55	10	of	of	ADP
hjic-238	55	11	different	different	ADJ
hjic-238	55	12	areas	area	NOUN
hjic-238	55	13	of	of	ADP
hjic-238	55	14	sciences	science	NOUN
hjic-238	55	15	and	and	CCONJ
hjic-238	55	16	techniques	technique	NOUN
hjic-238	55	17	but	but	CCONJ
hjic-238	55	18	occurred	occur	VERB
hjic-238	55	19	in	in	ADP
hjic-238	55	20	chemometric	chemometric	ADJ
hjic-238	55	21	only	only	ADV
hjic-238	55	22	recently	recently	ADV
hjic-238	55	23	.	.	PUNCT
hjic-238	56	1	this	this	DET
hjic-238	56	2	method	method	NOUN
hjic-238	56	3	can	can	AUX
hjic-238	56	4	be	be	AUX
hjic-238	56	5	used	use	VERB
hjic-238	56	6	for	for	ADP
hjic-238	56	7	the	the	DET
hjic-238	56	8	interpolation	interpolation	NOUN
hjic-238	56	9	and	and	CCONJ
hjic-238	56	10	extrapolation	extrapolation	NOUN
hjic-238	56	11	of	of	ADP
hjic-238	56	12	multiple	multiple	ADJ
hjic-238	56	13	-	-	PUNCT
hjic-238	56	14	input	input	NOUN
hjic-238	56	15	multiple	multiple	ADJ
hjic-238	56	16	-	-	PUNCT
hjic-238	56	17	output	output	NOUN
hjic-238	56	18	(	(	PUNCT
hjic-238	56	19	mimo	mimo	PROPN
hjic-238	56	20	)	)	PUNCT
hjic-238	56	21	linear	linear	PROPN
hjic-238	56	22	and	and	CCONJ
hjic-238	56	23	nonlinear	nonlinear	ADJ
hjic-238	56	24	systems	system	NOUN
hjic-238	56	25	.	.	PUNCT
hjic-238	57	1	in	in	ADP
hjic-238	57	2	our	our	PRON
hjic-238	57	3	experiments	experiment	NOUN
hjic-238	57	4	an	an	DET
hjic-238	57	5	mlp	mlp	NOUN
hjic-238	57	6	(	(	PUNCT
hjic-238	57	7	multilayer	multilayer	PROPN
hjic-238	57	8	perceptron	perceptron	PROPN
hjic-238	57	9	)	)	PUNCT
hjic-238	57	10	feed	feed	VERB
hjic-238	57	11	forward	forward	ADV
hjic-238	57	12	neural	neural	ADJ
hjic-238	57	13	network	network	NOUN
hjic-238	57	14	was	be	AUX
hjic-238	57	15	used	use	VERB
hjic-238	57	16	that	that	PRON
hjic-238	57	17	worked	work	VERB
hjic-238	57	18	with	with	ADP
hjic-238	57	19	the	the	DET
hjic-238	57	20	basic	basic	ADJ
hjic-238	57	21	levenberg	levenberg	PROPN
hjic-238	57	22	-	-	PUNCT
hjic-238	57	23	marquard	marquard	NOUN
hjic-238	57	24	training	training	NOUN
hjic-238	57	25	algorithm	algorithm	NOUN
hjic-238	57	26	.	.	PUNCT
hjic-238	58	1	the	the	DET
hjic-238	58	2	structure	structure	NOUN
hjic-238	58	3	of	of	ADP
hjic-238	58	4	the	the	DET
hjic-238	58	5	network	network	NOUN
hjic-238	58	6	consists	consist	VERB
hjic-238	58	7	of	of	ADP
hjic-238	58	8	one	one	NUM
hjic-238	58	9	hidden	hide	VERB
hjic-238	58	10	layer	layer	NOUN
hjic-238	58	11	where	where	SCONJ
hjic-238	58	12	the	the	DET
hjic-238	58	13	number	number	NOUN
hjic-238	58	14	of	of	ADP
hjic-238	58	15	neurons	neuron	NOUN
hjic-238	58	16	was	be	AUX
hjic-238	58	17	5	5	NUM
hjic-238	58	18	in	in	ADP
hjic-238	58	19	all	all	DET
hjic-238	58	20	cases	case	NOUN
hjic-238	58	21	,	,	PUNCT
hjic-238	58	22	because	because	SCONJ
hjic-238	58	23	we	we	PRON
hjic-238	58	24	found	find	VERB
hjic-238	58	25	that	that	SCONJ
hjic-238	58	26	this	this	DET
hjic-238	58	27	parameter	parameter	NOUN
hjic-238	58	28	did	do	AUX
hjic-238	58	29	not	not	PART
hjic-238	58	30	affect	affect	VERB
hjic-238	58	31	the	the	DET
hjic-238	58	32	model	model	NOUN
hjic-238	58	33	performance	performance	NOUN
hjic-238	58	34	significantly	significantly	ADV
hjic-238	58	35	.	.	PUNCT
hjic-238	59	1	at	at	ADP
hjic-238	59	2	the	the	DET
hjic-238	59	3	algorithm	algorithm	NOUN
hjic-238	59	4	the	the	DET
hjic-238	59	5	number	number	NOUN
hjic-238	59	6	of	of	ADP
hjic-238	59	7	training	training	NOUN
hjic-238	59	8	iteration	iteration	NOUN
hjic-238	59	9	was	be	AUX
hjic-238	59	10	200	200	NUM
hjic-238	59	11	and	and	CCONJ
hjic-238	59	12	the	the	DET
hjic-238	59	13	activation	activation	NOUN
hjic-238	59	14	function	function	NOUN
hjic-238	59	15	of	of	ADP
hjic-238	59	16	all	all	DET
hjic-238	59	17	neurons	neuron	NOUN
hjic-238	59	18	at	at	ADP
hjic-238	59	19	the	the	DET
hjic-238	59	20	hidden	hide	VERB
hjic-238	59	21	and	and	CCONJ
hjic-238	59	22	output	output	NOUN
hjic-238	59	23	layers	layer	NOUN
hjic-238	59	24	were	be	AUX
hjic-238	59	25	linear	linear	ADJ
hjic-238	59	26	transfer	transfer	NOUN
hjic-238	59	27	functions	function	NOUN
hjic-238	59	28	,	,	PUNCT
hjic-238	59	29	because	because	SCONJ
hjic-238	59	30	we	we	PRON
hjic-238	59	31	assumed	assume	VERB
hjic-238	59	32	that	that	SCONJ
hjic-238	59	33	linear	linear	PROPN
hjic-238	59	34	relation	relation	NOUN
hjic-238	59	35	exists	exist	VERB
hjic-238	59	36	between	between	ADP
hjic-238	59	37	the	the	DET
hjic-238	59	38	absorbance	absorbance	NOUN
hjic-238	59	39	data	datum	NOUN
hjic-238	59	40	and	and	CCONJ
hjic-238	59	41	the	the	DET
hjic-238	59	42	component	component	NOUN
hjic-238	59	43	concentrations	concentration	NOUN
hjic-238	59	44	.	.	PUNCT
hjic-238	60	1	in	in	ADP
hjic-238	60	2	the	the	DET
hjic-238	60	3	input	input	NOUN
hjic-238	60	4	layer	layer	NOUN
hjic-238	60	5	transfer	transfer	NOUN
hjic-238	60	6	function	function	NOUN
hjic-238	60	7	was	be	AUX
hjic-238	60	8	not	not	PART
hjic-238	60	9	used	use	VERB
hjic-238	60	10	[	[	PUNCT
hjic-238	60	11	2	2	NUM
hjic-238	60	12	,	,	PUNCT
hjic-238	60	13	4	4	NUM
hjic-238	60	14	]	]	PUNCT
hjic-238	60	15	.	.	PUNCT
hjic-238	61	1	the	the	DET
hjic-238	61	2	result	result	NOUN
hjic-238	61	3	of	of	ADP
hjic-238	61	4	the	the	DET
hjic-238	61	5	external	external	ADJ
hjic-238	61	6	validation	validation	NOUN
hjic-238	61	7	of	of	ADP
hjic-238	61	8	pca	pca	PROPN
hjic-238	61	9	-	-	PROPN
hjic-238	61	10	ann	ann	PROPN
hjic-238	61	11	model	model	NOUN
hjic-238	61	12	can	can	AUX
hjic-238	61	13	be	be	AUX
hjic-238	61	14	seen	see	VERB
hjic-238	61	15	in	in	ADP
hjic-238	61	16	fig	fig	NOUN
hjic-238	61	17	.	.	PUNCT
hjic-238	62	1	4	4	NUM
hjic-238	62	2	.	.	X
hjic-238	63	1	as	as	ADP
hjic-238	63	2	the	the	DET
hjic-238	63	3	result	result	NOUN
hjic-238	63	4	of	of	ADP
hjic-238	63	5	the	the	DET
hjic-238	63	6	external	external	ADJ
hjic-238	63	7	validation	validation	NOUN
hjic-238	63	8	an	an	DET
hjic-238	63	9	rmsep	rmsep	ADJ
hjic-238	63	10	value	value	NOUN
hjic-238	63	11	of	of	ADP
hjic-238	63	12	1.15	1.15	NUM
hjic-238	63	13	could	could	AUX
hjic-238	63	14	be	be	AUX
hjic-238	63	15	achieved	achieve	VERB
hjic-238	63	16	.	.	PUNCT
hjic-238	64	1	figure	figure	VERB
hjic-238	64	2	4	4	NUM
hjic-238	64	3	:	:	PUNCT
hjic-238	64	4	the	the	DET
hjic-238	64	5	result	result	NOUN
hjic-238	64	6	of	of	ADP
hjic-238	64	7	the	the	DET
hjic-238	64	8	external	external	ADJ
hjic-238	64	9	validation	validation	NOUN
hjic-238	64	10	in	in	ADP
hjic-238	64	11	respect	respect	NOUN
hjic-238	64	12	of	of	ADP
hjic-238	64	13	pca	pca	PROPN
hjic-238	64	14	-	-	PROPN
hjic-238	64	15	ann	ann	PROPN
hjic-238	64	16	model	model	PROPN
hjic-238	64	17	ga	ga	PROPN
hjic-238	64	18	-	-	PROPN
hjic-238	64	19	ann	ann	PROPN
hjic-238	64	20	model	model	NOUN
hjic-238	64	21	this	this	DET
hjic-238	64	22	method	method	NOUN
hjic-238	64	23	combines	combine	VERB
hjic-238	64	24	the	the	DET
hjic-238	64	25	ga	ga	PROPN
hjic-238	64	26	wavenumber	wavenumber	NOUN
hjic-238	64	27	selection	selection	NOUN
hjic-238	64	28	technique	technique	NOUN
hjic-238	64	29	and	and	CCONJ
hjic-238	64	30	the	the	DET
hjic-238	64	31	ann	ann	PROPN
hjic-238	64	32	model	model	NOUN
hjic-238	64	33	type	type	NOUN
hjic-238	64	34	.	.	PUNCT
hjic-238	65	1	the	the	DET
hjic-238	65	2	genetic	genetic	ADJ
hjic-238	65	3	algorithm	algorithm	NOUN
hjic-238	65	4	is	be	AUX
hjic-238	65	5	a	a	DET
hjic-238	65	6	multivariable	multivariable	ADJ
hjic-238	65	7	adaptive	adaptive	ADJ
hjic-238	65	8	optimum	optimum	ADJ
hjic-238	65	9	search	search	NOUN
hjic-238	65	10	procedure	procedure	NOUN
hjic-238	65	11	based	base	VERB
hjic-238	65	12	on	on	ADP
hjic-238	65	13	the	the	DET
hjic-238	65	14	mechanics	mechanic	NOUN
hjic-238	65	15	of	of	ADP
hjic-238	65	16	natural	natural	ADJ
hjic-238	65	17	genetics	genetic	NOUN
hjic-238	65	18	and	and	CCONJ
hjic-238	65	19	natural	natural	ADJ
hjic-238	65	20	selection	selection	NOUN
hjic-238	65	21	and	and	CCONJ
hjic-238	65	22	could	could	AUX
hjic-238	65	23	be	be	AUX
hjic-238	65	24	used	use	VERB
hjic-238	65	25	for	for	ADP
hjic-238	65	26	a	a	DET
hjic-238	65	27	variety	variety	NOUN
hjic-238	65	28	of	of	ADP
hjic-238	65	29	search	search	NOUN
hjic-238	65	30	problems	problem	NOUN
hjic-238	65	31	.	.	PUNCT
hjic-238	66	1	among	among	ADP
hjic-238	66	2	the	the	DET
hjic-238	66	3	genetic	genetic	ADJ
hjic-238	66	4	operations	operation	NOUN
hjic-238	66	5	the	the	DET
hjic-238	66	6	selection	selection	NOUN
hjic-238	66	7	(	(	PUNCT
hjic-238	66	8	elite	elite	ADJ
hjic-238	66	9	individuals	individual	NOUN
hjic-238	66	10	:	:	PUNCT
hjic-238	66	11	3	3	X
hjic-238	66	12	)	)	PUNCT
hjic-238	66	13	and	and	CCONJ
hjic-238	66	14	the	the	DET
hjic-238	66	15	crossover	crossover	NOUN
hjic-238	66	16	(	(	PUNCT
hjic-238	66	17	crossover	crossover	ADP
hjic-238	66	18	fraction	fraction	NOUN
hjic-238	66	19	:	:	PUNCT
hjic-238	66	20	100	100	NUM
hjic-238	66	21	%	%	NOUN
hjic-238	66	22	)	)	PUNCT
hjic-238	66	23	were	be	AUX
hjic-238	66	24	used	use	VERB
hjic-238	66	25	and	and	CCONJ
hjic-238	66	26	mutation	mutation	NOUN
hjic-238	66	27	function	function	NOUN
hjic-238	66	28	was	be	AUX
hjic-238	66	29	not	not	PART
hjic-238	66	30	used	use	VERB
hjic-238	66	31	.	.	PUNCT
hjic-238	67	1	in	in	ADP
hjic-238	67	2	the	the	DET
hjic-238	67	3	process	process	NOUN
hjic-238	67	4	the	the	DET
hjic-238	67	5	ga	ga	PROPN
hjic-238	67	6	selects	select	VERB
hjic-238	67	7	the	the	DET
hjic-238	67	8	wavenumbers	wavenumber	NOUN
hjic-238	67	9	where	where	SCONJ
hjic-238	67	10	the	the	DET
hjic-238	67	11	performance	performance	NOUN
hjic-238	67	12	of	of	ADP
hjic-238	67	13	the	the	DET
hjic-238	67	14	ann	ann	PROPN
hjic-238	67	15	model	model	NOUN
hjic-238	67	16	is	be	AUX
hjic-238	67	17	the	the	DET
hjic-238	67	18	best	good	ADJ
hjic-238	67	19	[	[	X
hjic-238	67	20	4	4	NUM
hjic-238	67	21	,	,	PUNCT
hjic-238	67	22	6	6	NUM
hjic-238	67	23	]	]	PUNCT
hjic-238	67	24	.	.	PUNCT
hjic-238	68	1	the	the	DET
hjic-238	68	2	result	result	NOUN
hjic-238	68	3	of	of	ADP
hjic-238	68	4	the	the	DET
hjic-238	68	5	external	external	ADJ
hjic-238	68	6	validation	validation	NOUN
hjic-238	68	7	of	of	ADP
hjic-238	68	8	ga	ga	PROPN
hjic-238	68	9	-	-	PROPN
hjic-238	68	10	ann	ann	PROPN
hjic-238	68	11	model	model	NOUN
hjic-238	68	12	can	can	AUX
hjic-238	68	13	be	be	AUX
hjic-238	68	14	seen	see	VERB
hjic-238	68	15	in	in	ADP
hjic-238	68	16	fig	fig	NOUN
hjic-238	68	17	.	.	PUNCT
hjic-238	69	1	5	5	NUM
hjic-238	69	2	.	.	X
hjic-238	69	3	among	among	ADP
hjic-238	69	4	the	the	DET
hjic-238	69	5	four	four	NUM
hjic-238	69	6	methods	method	NOUN
hjic-238	69	7	the	the	DET
hjic-238	69	8	ga	ga	PROPN
hjic-238	69	9	-	-	PROPN
hjic-238	69	10	ann	ann	PROPN
hjic-238	69	11	provided	provide	VERB
hjic-238	69	12	the	the	DET
hjic-238	69	13	best	good	ADJ
hjic-238	69	14	prediction	prediction	NOUN
hjic-238	69	15	efficiency	efficiency	NOUN
hjic-238	69	16	with	with	ADP
hjic-238	69	17	an	an	DET
hjic-238	69	18	rmsep	rmsep	ADJ
hjic-238	69	19	value	value	NOUN
hjic-238	69	20	of	of	ADP
hjic-238	69	21	0.89	0.89	NUM
hjic-238	69	22	.	.	PUNCT
hjic-238	70	1	122	122	NUM
hjic-238	70	2	figure	figure	NOUN
hjic-238	70	3	5	5	NUM
hjic-238	70	4	:	:	PUNCT
hjic-238	70	5	the	the	DET
hjic-238	70	6	result	result	NOUN
hjic-238	70	7	of	of	ADP
hjic-238	70	8	the	the	DET
hjic-238	70	9	external	external	ADJ
hjic-238	70	10	validation	validation	NOUN
hjic-238	70	11	in	in	ADP
hjic-238	70	12	respect	respect	NOUN
hjic-238	70	13	of	of	ADP
hjic-238	70	14	ga	ga	PROPN
hjic-238	70	15	-	-	PUNCT
hjic-238	70	16	mlr	mlr	PROPN
hjic-238	70	17	model	model	NOUN
hjic-238	70	18	conclusions	conclusion	NOUN
hjic-238	70	19	comparing	compare	VERB
hjic-238	70	20	the	the	DET
hjic-238	70	21	different	different	ADJ
hjic-238	70	22	methods	method	NOUN
hjic-238	70	23	according	accord	VERB
hjic-238	70	24	to	to	ADP
hjic-238	70	25	the	the	DET
hjic-238	70	26	rmsep	rmsep	ADJ
hjic-238	70	27	values	value	NOUN
hjic-238	70	28	at	at	ADP
hjic-238	70	29	the	the	DET
hjic-238	70	30	optimal	optimal	ADJ
hjic-238	70	31	parameter	parameter	NOUN
hjic-238	70	32	combinations	combination	NOUN
hjic-238	70	33	the	the	DET
hjic-238	70	34	ga	ga	PROPN
hjic-238	70	35	-	-	PUNCT
hjic-238	70	36	ann	ann	PROPN
hjic-238	70	37	approach	approach	NOUN
hjic-238	70	38	offered	offer	VERB
hjic-238	70	39	the	the	DET
hjic-238	70	40	best	good	ADJ
hjic-238	70	41	prediction	prediction	NOUN
hjic-238	70	42	efficiency	efficiency	NOUN
hjic-238	70	43	and	and	CCONJ
hjic-238	70	44	the	the	DET
hjic-238	70	45	pca	pca	PROPN
hjic-238	70	46	-	-	PUNCT
hjic-238	70	47	mlr	mlr	PROPN
hjic-238	70	48	provided	provide	VERB
hjic-238	70	49	the	the	DET
hjic-238	70	50	worst	bad	ADJ
hjic-238	70	51	one	one	NUM
hjic-238	70	52	(	(	PUNCT
hjic-238	70	53	table	table	NOUN
hjic-238	70	54	2	2	NUM
hjic-238	70	55	)	)	PUNCT
hjic-238	70	56	.	.	PUNCT
hjic-238	71	1	table	table	NOUN
hjic-238	71	2	2	2	NUM
hjic-238	71	3	:	:	PUNCT
hjic-238	71	4	the	the	DET
hjic-238	71	5	rmsep	rmsep	ADJ
hjic-238	71	6	values	value	NOUN
hjic-238	71	7	of	of	ADP
hjic-238	71	8	the	the	DET
hjic-238	71	9	models	model	NOUN
hjic-238	71	10	model	model	NOUN
hjic-238	71	11	type	type	NOUN
hjic-238	71	12	rmsep	rmsep	PROPN
hjic-238	71	13	pca	pca	PROPN
hjic-238	71	14	-	-	PUNCT
hjic-238	71	15	mlr	mlr	PROPN
hjic-238	71	16	3.89	3.89	NUM
hjic-238	71	17	pls	pls	NOUN
hjic-238	71	18	1.65	1.65	NUM
hjic-238	71	19	pca	pca	PROPN
hjic-238	71	20	-	-	PROPN
hjic-238	71	21	ann	ann	PROPN
hjic-238	71	22	1.15	1.15	NUM
hjic-238	71	23	ga	ga	PROPN
hjic-238	71	24	-	-	PROPN
hjic-238	71	25	ann	ann	PROPN
hjic-238	71	26	0.89	0.89	NUM
hjic-238	71	27	although	although	SCONJ
hjic-238	71	28	the	the	DET
hjic-238	71	29	best	good	ADJ
hjic-238	71	30	performance	performance	NOUN
hjic-238	71	31	was	be	AUX
hjic-238	71	32	given	give	VERB
hjic-238	71	33	using	use	VERB
hjic-238	71	34	gaann	gaann	PROPN
hjic-238	71	35	method	method	NOUN
hjic-238	71	36	,	,	PUNCT
hjic-238	71	37	we	we	PRON
hjic-238	71	38	have	have	VERB
hjic-238	71	39	to	to	PART
hjic-238	71	40	mention	mention	VERB
hjic-238	71	41	that	that	SCONJ
hjic-238	71	42	this	this	DET
hjic-238	71	43	technique	technique	NOUN
hjic-238	71	44	was	be	AUX
hjic-238	71	45	the	the	DET
hjic-238	71	46	most	most	ADV
hjic-238	71	47	complex	complex	ADJ
hjic-238	71	48	and	and	CCONJ
hjic-238	71	49	time	time	NOUN
hjic-238	71	50	consuming	consume	VERB
hjic-238	71	51	and	and	CCONJ
hjic-238	71	52	there	there	PRON
hjic-238	71	53	were	be	VERB
hjic-238	71	54	a	a	DET
hjic-238	71	55	lot	lot	NOUN
hjic-238	71	56	of	of	ADP
hjic-238	71	57	model	model	NOUN
hjic-238	71	58	parameters	parameter	NOUN
hjic-238	71	59	that	that	PRON
hjic-238	71	60	had	have	VERB
hjic-238	71	61	to	to	PART
hjic-238	71	62	be	be	AUX
hjic-238	71	63	varied	varied	ADJ
hjic-238	71	64	in	in	ADP
hjic-238	71	65	the	the	DET
hjic-238	71	66	optimisation	optimisation	NOUN
hjic-238	71	67	process	process	NOUN
hjic-238	71	68	.	.	PUNCT
hjic-238	72	1	therefore	therefore	ADV
hjic-238	72	2	the	the	DET
hjic-238	72	3	calibration	calibration	NOUN
hjic-238	72	4	and	and	CCONJ
hjic-238	72	5	optimisation	optimisation	NOUN
hjic-238	72	6	took	take	VERB
hjic-238	72	7	a	a	DET
hjic-238	72	8	very	very	ADV
hjic-238	72	9	long	long	ADJ
hjic-238	72	10	time	time	NOUN
hjic-238	72	11	.	.	PUNCT
hjic-238	73	1	references	reference	NOUN
hjic-238	73	2	1	1	NUM
hjic-238	73	3	baptista	baptista	PROPN
hjic-238	73	4	p.	p.	NOUN
hjic-238	73	5	,	,	PUNCT
hjic-238	73	6	felizardo	felizardo	PROPN
hjic-238	73	7	p.	p.	NOUN
hjic-238	73	8	,	,	PUNCT
hjic-238	73	9	menezes	menezes	PROPN
hjic-238	73	10	j.	j.	PROPN
hjic-238	73	11	c.	c.	PROPN
hjic-238	73	12	,	,	PUNCT
hjic-238	73	13	neiva	neiva	PROPN
hjic-238	73	14	correia	correia	PROPN
hjic-238	73	15	m.	m.	PROPN
hjic-238	73	16	j.	j.	PROPN
hjic-238	73	17	:	:	PUNCT
hjic-238	73	18	analytica	analytica	PROPN
hjic-238	73	19	chimica	chimica	PROPN
hjic-238	73	20	acta	acta	PROPN
hjic-238	73	21	(	(	PUNCT
hjic-238	73	22	2007	2007	NUM
hjic-238	73	23	)	)	PUNCT
hjic-238	73	24	153	153	NUM
hjic-238	73	25	2	2	NUM
hjic-238	73	26	balabin	balabin	PROPN
hjic-238	73	27	r.	r.	PROPN
hjic-238	73	28	m.	m.	PROPN
hjic-238	73	29	,	,	PUNCT
hjic-238	73	30	safieva	safieva	PROPN
hjic-238	73	31	r.	r.	PROPN
hjic-238	73	32	z.	z.	PROPN
hjic-238	73	33	,	,	PUNCT
hjic-238	73	34	lomakina	lomakina	VERB
hjic-238	73	35	e.	e.	PROPN
hjic-238	73	36	i.	i.	PROPN
hjic-238	73	37	:	:	PUNCT
hjic-238	73	38	chemometrics	chemometric	NOUN
hjic-238	73	39	and	and	CCONJ
hjic-238	73	40	intelligent	intelligent	ADJ
hjic-238	73	41	laboratory	laboratory	NOUN
hjic-238	73	42	systems	system	NOUN
hjic-238	73	43	88	88	NUM
hjic-238	73	44	(	(	PUNCT
hjic-238	73	45	2007	2007	NUM
hjic-238	73	46	)	)	PUNCT
hjic-238	73	47	,	,	PUNCT
hjic-238	73	48	183–188	183–188	NUM
hjic-238	73	49	3	3	NUM
hjic-238	73	50	fülöp	fülöp	PROPN
hjic-238	73	51	a.	a.	NOUN
hjic-238	73	52	,	,	PUNCT
hjic-238	73	53	magyar	magyar	PROPN
hjic-238	73	54	sz	sz	PROPN
hjic-238	73	55	.	.	PROPN
hjic-238	73	56	,	,	PUNCT
hjic-238	73	57	krár	krár	NOUN
hjic-238	73	58	m.	m.	NOUN
hjic-238	73	59	,	,	PUNCT
hjic-238	73	60	hancsók	hancsók	PROPN
hjic-238	73	61	j.	j.	PROPN
hjic-238	73	62	:	:	PUNCT
hjic-238	73	63	proceedings	proceeding	NOUN
hjic-238	73	64	of	of	ADP
hjic-238	73	65	43rd	43rd	ADJ
hjic-238	73	66	international	international	ADJ
hjic-238	73	67	petroleum	petroleum	NOUN
hjic-238	73	68	conference	conference	NOUN
hjic-238	73	69	(	(	PUNCT
hjic-238	73	70	2007	2007	NUM
hjic-238	73	71	)	)	PUNCT
hjic-238	73	72	7	7	NUM
hjic-238	73	73	4	4	NUM
hjic-238	73	74	nan	nan	PROPN
hjic-238	73	75	q.	q.	PROPN
hjic-238	73	76	,	,	PUNCT
hjic-238	73	77	lihua	lihua	PROPN
hjic-238	73	78	w.	w.	PROPN
hjic-238	73	79	,	,	PUNCT
hjic-238	73	80	mingchao	mingchao	PROPN
hjic-238	73	81	z.	z.	PROPN
hjic-238	73	82	,	,	PUNCT
hjic-238	73	83	ying	ying	PROPN
hjic-238	73	84	d.	d.	PROPN
hjic-238	73	85	,	,	PUNCT
hjic-238	73	86	yulin	yulin	PROPN
hjic-238	73	87	r.	r.	PROPN
hjic-238	73	88	:	:	PUNCT
hjic-238	73	89	chemometrics	chemometric	NOUN
hjic-238	73	90	and	and	CCONJ
hjic-238	73	91	intelligent	intelligent	ADJ
hjic-238	73	92	laboratory	laboratory	NOUN
hjic-238	73	93	systems	system	NOUN
hjic-238	73	94	90	90	NUM
hjic-238	73	95	(	(	PUNCT
hjic-238	73	96	2008	2008	NUM
hjic-238	73	97	)	)	PUNCT
hjic-238	73	98	,	,	PUNCT
hjic-238	73	99	145–152	145–152	NUM
hjic-238	73	100	5	5	NUM
hjic-238	73	101	kim	kim	PROPN
hjic-238	73	102	k.	k.	PROPN
hjic-238	73	103	s.	s.	PROPN
hjic-238	73	104	,	,	PUNCT
hjic-238	73	105	park	park	PROPN
hjic-238	73	106	s.	s.	PROPN
hjic-238	73	107	h.	h.	PROPN
hjic-238	73	108	,	,	PUNCT
hjic-238	73	109	choung	choung	PROPN
hjic-238	73	110	m.	m.	PROPN
hjic-238	73	111	g.	g.	PROPN
hjic-238	73	112	,	,	PUNCT
hjic-238	73	113	jang	jang	PROPN
hjic-238	73	114	y.	y.	PROPN
hjic-238	73	115	s.	s.	PROPN
hjic-238	73	116	:	:	PUNCT
hjic-238	73	117	journal	journal	NOUN
hjic-238	73	118	of	of	ADP
hjic-238	73	119	crop	crop	NOUN
hjic-238	73	120	science	science	NOUN
hjic-238	73	121	and	and	CCONJ
hjic-238	73	122	biotechnology	biotechnology	NOUN
hjic-238	73	123	10	10	NUM
hjic-238	73	124	(	(	PUNCT
hjic-238	73	125	2007	2007	NUM
hjic-238	73	126	)	)	PUNCT
hjic-238	73	127	,	,	PUNCT
hjic-238	73	128	15–20	15–20	NUM
hjic-238	73	129	6	6	NUM
hjic-238	73	130	yibin	yibin	ADJ
hjic-238	73	131	y.	y.	NOUN
hjic-238	73	132	,	,	PUNCT
hjic-238	73	133	yande	yande	PROPN
hjic-238	73	134	l.	l.	PROPN
hjic-238	73	135	:	:	PUNCT
hjic-238	73	136	journal	journal	PROPN
hjic-238	73	137	of	of	ADP
hjic-238	73	138	food	food	NOUN
hjic-238	73	139	engineering	engineering	NOUN
hjic-238	73	140	84	84	NUM
hjic-238	73	141	(	(	PUNCT
hjic-238	73	142	2008	2008	NUM
hjic-238	73	143	)	)	PUNCT
hjic-238	73	144	,	,	PUNCT
hjic-238	73	145	206–213	206–213	NUM