id	sid	tid	token	lemma	pos
absel-3192	1	1	statistical	statistical	ADJ
absel-3192	1	2	learning	learning	NOUN
absel-3192	1	3	networks	network	NOUN
absel-3192	1	4	in	in	ADP
absel-3192	1	5	simulations	simulation	NOUN
absel-3192	1	6	for	for	ADP
absel-3192	1	7	business	business	NOUN
absel-3192	1	8	training	training	NOUN
absel-3192	1	9	and	and	CCONJ
absel-3192	1	10	education	education	NOUN
absel-3192	1	11	page	page	NOUN
absel-3192	1	12	295	295	NUM
absel-3192	1	13	developments	development	NOUN
absel-3192	1	14	in	in	ADP
absel-3192	1	15	business	business	NOUN
absel-3192	1	16	simulation	simulation	NOUN
absel-3192	1	17	and	and	CCONJ
absel-3192	1	18	experiential	experiential	ADJ
absel-3192	1	19	learning	learning	NOUN
absel-3192	1	20	,	,	PUNCT
absel-3192	1	21	volume	volume	NOUN
absel-3192	1	22	45	45	NUM
absel-3192	1	23	,	,	PUNCT
absel-3192	1	24	2018	2018	NUM
absel-3192	1	25	abstract	abstract	ADJ
absel-3192	1	26	statistical	statistical	ADJ
absel-3192	1	27	learning	learning	NOUN
absel-3192	1	28	networks	network	NOUN
absel-3192	1	29	can	can	AUX
absel-3192	1	30	address	address	VERB
absel-3192	1	31	the	the	DET
absel-3192	1	32	common	common	ADJ
absel-3192	1	33	problems	problem	NOUN
absel-3192	1	34	of	of	ADP
absel-3192	1	35	artificial	artificial	ADJ
absel-3192	1	36	neural	neural	ADJ
absel-3192	1	37	networks	network	NOUN
absel-3192	1	38	(	(	PUNCT
absel-3192	1	39	anns	anns	PROPN
absel-3192	1	40	)	)	PUNCT
absel-3192	1	41	such	such	ADJ
absel-3192	1	42	as	as	ADP
absel-3192	1	43	:	:	PUNCT
absel-3192	1	44	difficulties	difficulty	NOUN
absel-3192	1	45	in	in	ADP
absel-3192	1	46	interpretation	interpretation	NOUN
absel-3192	1	47	of	of	ADP
absel-3192	1	48	the	the	DET
absel-3192	1	49	results	result	NOUN
absel-3192	1	50	,	,	PUNCT
absel-3192	1	51	the	the	DET
absel-3192	1	52	problem	problem	NOUN
absel-3192	1	53	of	of	ADP
absel-3192	1	54	overfitting	overfitte	VERB
absel-3192	1	55	,	,	PUNCT
absel-3192	1	56	designing	design	VERB
absel-3192	1	57	anns	anns	NOUN
absel-3192	1	58	topology	topology	NOUN
absel-3192	1	59	is	be	AUX
absel-3192	1	60	in	in	ADP
absel-3192	1	61	general	general	ADJ
absel-3192	1	62	a	a	DET
absel-3192	1	63	trial	trial	NOUN
absel-3192	1	64	-	-	PUNCT
absel-3192	1	65	and	and	CCONJ
absel-3192	1	66	-	-	PUNCT
absel-3192	1	67	error	error	NOUN
absel-3192	1	68	process	process	NOUN
absel-3192	1	69	and	and	CCONJ
absel-3192	1	70	there	there	PRON
absel-3192	1	71	are	be	VERB
absel-3192	1	72	no	no	DET
absel-3192	1	73	rules	rule	NOUN
absel-3192	1	74	for	for	ADP
absel-3192	1	75	using	use	VERB
absel-3192	1	76	the	the	DET
absel-3192	1	77	theoretical	theoretical	ADJ
absel-3192	1	78	a	a	DET
absel-3192	1	79	priori	priori	ADJ
absel-3192	1	80	knowledge	knowledge	NOUN
absel-3192	1	81	in	in	ADP
absel-3192	1	82	anns	anns	ADJ
absel-3192	1	83	design	design	NOUN
absel-3192	1	84	.	.	PUNCT
absel-3192	2	1	this	this	DET
absel-3192	2	2	paper	paper	NOUN
absel-3192	2	3	discusses	discuss	VERB
absel-3192	2	4	a	a	DET
absel-3192	2	5	highly	highly	ADV
absel-3192	2	6	automated	automate	VERB
absel-3192	2	7	procedure	procedure	NOUN
absel-3192	2	8	for	for	ADP
absel-3192	2	9	developing	develop	VERB
absel-3192	2	10	statistical	statistical	ADJ
absel-3192	2	11	learning	learning	NOUN
absel-3192	2	12	networks	network	NOUN
absel-3192	2	13	in	in	ADP
absel-3192	2	14	the	the	DET
absel-3192	2	15	form	form	NOUN
absel-3192	2	16	of	of	ADP
absel-3192	2	17	multi	multi	ADJ
absel-3192	2	18	-	-	ADJ
absel-3192	2	19	layered	layered	ADJ
absel-3192	2	20	networks	network	NOUN
absel-3192	2	21	of	of	ADP
absel-3192	2	22	active	active	ADJ
absel-3192	2	23	neurons	neuron	NOUN
absel-3192	2	24	(	(	PUNCT
absel-3192	2	25	mlnan	mlnan	NOUN
absel-3192	2	26	)	)	PUNCT
absel-3192	2	27	for	for	ADP
absel-3192	2	28	business	business	NOUN
absel-3192	2	29	simulations	simulation	NOUN
absel-3192	2	30	using	use	VERB
absel-3192	2	31	the	the	DET
absel-3192	2	32	group	group	NOUN
absel-3192	2	33	method	method	NOUN
absel-3192	2	34	of	of	ADP
absel-3192	2	35	data	datum	NOUN
absel-3192	2	36	handling	handling	NOUN
absel-3192	2	37	.	.	PUNCT
absel-3192	3	1	mlnan	mlnan	PROPN
absel-3192	3	2	helps	help	VERB
absel-3192	3	3	researchers	researcher	NOUN
absel-3192	3	4	by	by	ADP
absel-3192	3	5	making	make	VERB
absel-3192	3	6	business	business	NOUN
absel-3192	3	7	simulations	simulation	NOUN
absel-3192	3	8	development	development	VERB
absel-3192	3	9	more	more	ADJ
absel-3192	3	10	cost	cost	NOUN
absel-3192	3	11	-	-	PUNCT
absel-3192	3	12	effective	effective	ADJ
absel-3192	3	13	.	.	PUNCT
absel-3192	4	1	all	all	DET
absel-3192	4	2	results	result	NOUN
absel-3192	4	3	so	so	ADV
absel-3192	4	4	far	far	ADV
absel-3192	4	5	show	show	VERB
absel-3192	4	6	that	that	PRON
absel-3192	4	7	mlnan	mlnan	NOUN
absel-3192	4	8	is	be	AUX
absel-3192	4	9	able	able	ADJ
absel-3192	4	10	to	to	PART
absel-3192	4	11	develop	develop	VERB
absel-3192	4	12	reliable	reliable	ADJ
absel-3192	4	13	complex	complex	ADJ
absel-3192	4	14	models	model	NOUN
absel-3192	4	15	with	with	ADP
absel-3192	4	16	better	well	ADJ
absel-3192	4	17	overall	overall	ADJ
absel-3192	4	18	error	error	NOUN
absel-3192	4	19	rates	rate	NOUN
absel-3192	4	20	than	than	ADP
absel-3192	4	21	state	state	NOUN
absel-3192	4	22	-	-	PUNCT
absel-3192	4	23	of	of	ADP
absel-3192	4	24	-	-	PUNCT
absel-3192	4	25	the	the	DET
absel-3192	4	26	-	-	PUNCT
absel-3192	4	27	art	art	NOUN
absel-3192	4	28	methods	method	NOUN
absel-3192	4	29	.	.	PUNCT
absel-3192	5	1	this	this	DET
absel-3192	5	2	paper	paper	NOUN
absel-3192	5	3	presents	present	VERB
absel-3192	5	4	some	some	PRON
absel-3192	5	5	of	of	ADP
absel-3192	5	6	the	the	DET
absel-3192	5	7	results	result	NOUN
absel-3192	5	8	from	from	ADP
absel-3192	5	9	international	international	ADJ
absel-3192	5	10	research	research	NOUN
absel-3192	5	11	done	do	VERB
absel-3192	5	12	in	in	ADP
absel-3192	5	13	europe	europe	PROPN
absel-3192	5	14	,	,	PUNCT
absel-3192	5	15	australia	australia	PROPN
absel-3192	5	16	,	,	PUNCT
absel-3192	5	17	and	and	CCONJ
absel-3192	5	18	the	the	DET
absel-3192	5	19	united	united	PROPN
absel-3192	5	20	states	states	PROPN
absel-3192	5	21	.	.	PUNCT
absel-3192	6	1	keywords	keyword	NOUN
absel-3192	6	2	:	:	PUNCT
absel-3192	6	3	business	business	NOUN
absel-3192	6	4	simulations	simulation	NOUN
absel-3192	6	5	,	,	PUNCT
absel-3192	6	6	artificial	artificial	ADJ
absel-3192	6	7	neural	neural	ADJ
absel-3192	6	8	networks	network	NOUN
absel-3192	6	9	(	(	PUNCT
absel-3192	6	10	anns	anns	PROPN
absel-3192	6	11	)	)	PUNCT
absel-3192	6	12	,	,	PUNCT
absel-3192	6	13	deep	deep	ADJ
absel-3192	6	14	neural	neural	ADJ
absel-3192	6	15	networks	network	NOUN
absel-3192	6	16	(	(	PUNCT
absel-3192	6	17	dnns	dnn	NOUN
absel-3192	6	18	)	)	PUNCT
absel-3192	6	19	,	,	PUNCT
absel-3192	6	20	statistical	statistical	ADJ
absel-3192	6	21	learning	learning	NOUN
absel-3192	6	22	networks	network	NOUN
absel-3192	6	23	(	(	PUNCT
absel-3192	6	24	slns	slns	NOUN
absel-3192	6	25	)	)	PUNCT
absel-3192	6	26	,	,	PUNCT
absel-3192	6	27	multi	multi	ADJ
absel-3192	6	28	-	-	ADJ
absel-3192	6	29	layered	layered	ADJ
absel-3192	6	30	networks	network	NOUN
absel-3192	6	31	of	of	ADP
absel-3192	6	32	active	active	ADJ
absel-3192	6	33	neurons	neuron	NOUN
absel-3192	6	34	(	(	PUNCT
absel-3192	6	35	mlnan	mlnan	NOUN
absel-3192	6	36	)	)	PUNCT
absel-3192	6	37	,	,	PUNCT
absel-3192	6	38	group	group	NOUN
absel-3192	6	39	method	method	NOUN
absel-3192	6	40	of	of	ADP
absel-3192	6	41	data	data	NOUN
absel-3192	6	42	handling	handling	NOUN
absel-3192	6	43	(	(	PUNCT
absel-3192	6	44	gmdh	gmdh	PROPN
absel-3192	6	45	)	)	PUNCT
absel-3192	6	46	.	.	PUNCT
absel-3192	7	1	introduction	introduction	NOUN
absel-3192	7	2	business	business	NOUN
absel-3192	7	3	simulation	simulation	PROPN
absel-3192	7	4	,	,	PUNCT
absel-3192	7	5	according	accord	VERB
absel-3192	7	6	to	to	ADP
absel-3192	7	7	greenlaw	greenlaw	PROPN
absel-3192	7	8	et	et	PROPN
absel-3192	7	9	al	al	PROPN
absel-3192	7	10	.	.	PROPN
absel-3192	8	1	(	(	PUNCT
absel-3192	8	2	1962	1962	NUM
absel-3192	8	3	)	)	PUNCT
absel-3192	8	4	,	,	PUNCT
absel-3192	8	5	is	be	AUX
absel-3192	8	6	described	describe	VERB
absel-3192	8	7	as	as	ADP
absel-3192	8	8	a	a	DET
absel-3192	8	9	sequential	sequential	ADJ
absel-3192	8	10	decision	decision	NOUN
absel-3192	8	11	-	-	PUNCT
absel-3192	8	12	making	make	VERB
absel-3192	8	13	exercise	exercise	NOUN
absel-3192	8	14	structure	structure	NOUN
absel-3192	8	15	,	,	PUNCT
absel-3192	8	16	which	which	PRON
absel-3192	8	17	is	be	AUX
absel-3192	8	18	build	build	VERB
absel-3192	8	19	around	around	ADP
absel-3192	8	20	a	a	DET
absel-3192	8	21	model	model	NOUN
absel-3192	8	22	of	of	ADP
absel-3192	8	23	a	a	DET
absel-3192	8	24	business	business	NOUN
absel-3192	8	25	operation	operation	NOUN
absel-3192	8	26	,	,	PUNCT
absel-3192	8	27	in	in	ADP
absel-3192	8	28	which	which	PRON
absel-3192	8	29	participants	participant	NOUN
absel-3192	8	30	assume	assume	VERB
absel-3192	8	31	the	the	DET
absel-3192	8	32	role	role	NOUN
absel-3192	8	33	of	of	ADP
absel-3192	8	34	managing	manage	VERB
absel-3192	8	35	the	the	DET
absel-3192	8	36	simulated	simulate	VERB
absel-3192	8	37	operation	operation	NOUN
absel-3192	8	38	.	.	PUNCT
absel-3192	9	1	a	a	DET
absel-3192	9	2	properly	properly	ADV
absel-3192	9	3	designed	design	VERB
absel-3192	9	4	simulation	simulation	NOUN
absel-3192	9	5	for	for	ADP
absel-3192	9	6	business	business	NOUN
absel-3192	9	7	training	training	NOUN
absel-3192	9	8	would	would	AUX
absel-3192	9	9	closely	closely	ADV
absel-3192	9	10	follow	follow	VERB
absel-3192	9	11	the	the	DET
absel-3192	9	12	assumptions	assumption	NOUN
absel-3192	9	13	and	and	CCONJ
absel-3192	9	14	rules	rule	NOUN
absel-3192	9	15	of	of	ADP
absel-3192	9	16	the	the	DET
absel-3192	9	17	theoretical	theoretical	ADJ
absel-3192	9	18	models	model	NOUN
absel-3192	9	19	within	within	ADP
absel-3192	9	20	this	this	DET
absel-3192	9	21	discipline	discipline	NOUN
absel-3192	9	22	.	.	PUNCT
absel-3192	10	1	if	if	SCONJ
absel-3192	10	2	the	the	DET
absel-3192	10	3	model	model	NOUN
absel-3192	10	4	does	do	AUX
absel-3192	10	5	not	not	PART
absel-3192	10	6	accurately	accurately	ADV
absel-3192	10	7	represent	represent	VERB
absel-3192	10	8	the	the	DET
absel-3192	10	9	real	real	ADJ
absel-3192	10	10	system	system	NOUN
absel-3192	10	11	,	,	PUNCT
absel-3192	10	12	then	then	ADV
absel-3192	10	13	the	the	DET
absel-3192	10	14	knowledge	knowledge	NOUN
absel-3192	10	15	that	that	PRON
absel-3192	10	16	the	the	DET
absel-3192	10	17	students	student	NOUN
absel-3192	10	18	receive	receive	VERB
absel-3192	10	19	about	about	ADP
absel-3192	10	20	real	real	ADJ
absel-3192	10	21	-	-	PUNCT
absel-3192	10	22	life	life	NOUN
absel-3192	10	23	business	business	NOUN
absel-3192	10	24	is	be	AUX
absel-3192	10	25	questionable	questionable	ADJ
absel-3192	10	26	.	.	PUNCT
absel-3192	11	1	if	if	SCONJ
absel-3192	11	2	the	the	DET
absel-3192	11	3	simulation	simulation	NOUN
absel-3192	11	4	model	model	NOUN
absel-3192	11	5	is	be	AUX
absel-3192	11	6	not	not	PART
absel-3192	11	7	accurate	accurate	ADJ
absel-3192	11	8	and	and	CCONJ
absel-3192	11	9	the	the	DET
absel-3192	11	10	predictions	prediction	NOUN
absel-3192	11	11	made	make	VERB
absel-3192	11	12	by	by	ADP
absel-3192	11	13	students	student	NOUN
absel-3192	11	14	are	be	AUX
absel-3192	11	15	not	not	PART
absel-3192	11	16	close	close	ADJ
absel-3192	11	17	enough	enough	ADV
absel-3192	11	18	to	to	ADP
absel-3192	11	19	the	the	DET
absel-3192	11	20	real	real	ADJ
absel-3192	11	21	-life	-life	NOUN
absel-3192	11	22	business	business	NOUN
absel-3192	11	23	case	case	NOUN
absel-3192	11	24	,	,	PUNCT
absel-3192	11	25	then	then	ADV
absel-3192	11	26	learning	learning	NOUN
absel-3192	11	27	will	will	AUX
absel-3192	11	28	be	be	AUX
absel-3192	11	29	minimal	minimal	ADJ
absel-3192	11	30	.	.	PUNCT
absel-3192	12	1	deep	deep	ADJ
absel-3192	12	2	learning	learning	NOUN
absel-3192	12	3	attempts	attempt	VERB
absel-3192	12	4	to	to	PART
absel-3192	12	5	model	model	VERB
absel-3192	12	6	high	high	ADJ
absel-3192	12	7	-	-	PUNCT
absel-3192	12	8	level	level	NOUN
absel-3192	12	9	abstractions	abstraction	NOUN
absel-3192	12	10	in	in	ADP
absel-3192	12	11	data	datum	NOUN
absel-3192	12	12	by	by	ADP
absel-3192	12	13	using	use	VERB
absel-3192	12	14	model	model	NOUN
absel-3192	12	15	architectures	architecture	NOUN
absel-3192	12	16	composed	compose	VERB
absel-3192	12	17	of	of	ADP
absel-3192	12	18	multiple	multiple	ADJ
absel-3192	12	19	nonlinear	nonlinear	ADJ
absel-3192	12	20	transformations	transformation	NOUN
absel-3192	12	21	.	.	PUNCT
absel-3192	13	1	many	many	ADJ
absel-3192	13	2	of	of	ADP
absel-3192	13	3	the	the	DET
absel-3192	13	4	most	most	ADV
absel-3192	13	5	successful	successful	ADJ
absel-3192	13	6	deep	deep	ADJ
absel-3192	13	7	learning	learning	NOUN
absel-3192	13	8	methods	method	NOUN
absel-3192	13	9	involve	involve	VERB
absel-3192	13	10	artificial	artificial	ADJ
absel-3192	13	11	neural	neural	ADJ
absel-3192	13	12	networks	network	NOUN
absel-3192	13	13	(	(	PUNCT
absel-3192	13	14	anns	anns	PROPN
absel-3192	13	15	)	)	PUNCT
absel-3192	13	16	,	,	PUNCT
absel-3192	13	17	where	where	SCONJ
absel-3192	13	18	a	a	DET
absel-3192	13	19	deep	deep	ADJ
absel-3192	13	20	neural	neural	ADJ
absel-3192	13	21	network	network	NOUN
absel-3192	13	22	(	(	PUNCT
absel-3192	13	23	dnn	dnn	PROPN
absel-3192	13	24	)	)	PUNCT
absel-3192	13	25	is	be	AUX
absel-3192	13	26	defined	define	VERB
absel-3192	13	27	to	to	PART
absel-3192	13	28	be	be	AUX
absel-3192	13	29	an	an	DET
absel-3192	13	30	artificial	artificial	ADJ
absel-3192	13	31	neural	neural	ADJ
absel-3192	13	32	network	network	NOUN
absel-3192	13	33	with	with	ADP
absel-3192	13	34	multiple	multiple	ADJ
absel-3192	13	35	hidden	hide	VERB
absel-3192	13	36	layers	layer	NOUN
absel-3192	13	37	of	of	ADP
absel-3192	13	38	units	unit	NOUN
absel-3192	13	39	between	between	ADP
absel-3192	13	40	the	the	DET
absel-3192	13	41	input	input	NOUN
absel-3192	13	42	and	and	CCONJ
absel-3192	13	43	output	output	NOUN
absel-3192	13	44	layers	layer	NOUN
absel-3192	13	45	.	.	PUNCT
absel-3192	14	1	dnns	dnn	NOUN
absel-3192	14	2	make	make	VERB
absel-3192	14	3	it	it	PRON
absel-3192	14	4	possible	possible	ADJ
absel-3192	14	5	to	to	PART
absel-3192	14	6	develop	develop	VERB
absel-3192	14	7	faster	fast	ADV
absel-3192	14	8	and	and	CCONJ
absel-3192	14	9	more	more	ADV
absel-3192	14	10	accurate	accurate	ADJ
absel-3192	14	11	simulation	simulation	NOUN
absel-3192	14	12	models	model	NOUN
absel-3192	14	13	,	,	PUNCT
absel-3192	14	14	but	but	CCONJ
absel-3192	14	15	they	they	PRON
absel-3192	14	16	are	be	AUX
absel-3192	14	17	difficult	difficult	ADJ
absel-3192	14	18	to	to	PART
absel-3192	14	19	develop	develop	VERB
absel-3192	14	20	and	and	CCONJ
absel-3192	14	21	hard	hard	ADJ
absel-3192	14	22	to	to	PART
absel-3192	14	23	understand	understand	VERB
absel-3192	14	24	.	.	PUNCT
absel-3192	15	1	the	the	DET
absel-3192	15	2	difficulties	difficulty	NOUN
absel-3192	15	3	with	with	ADP
absel-3192	15	4	ease	ease	NOUN
absel-3192	15	5	of	of	ADP
absel-3192	15	6	development	development	NOUN
absel-3192	15	7	and	and	CCONJ
absel-3192	15	8	use	use	VERB
absel-3192	15	9	stem	stem	NOUN
absel-3192	15	10	mainly	mainly	ADV
absel-3192	15	11	from	from	ADP
absel-3192	15	12	the	the	DET
absel-3192	15	13	extensive	extensive	ADJ
absel-3192	15	14	data	datum	NOUN
absel-3192	15	15	preparation	preparation	NOUN
absel-3192	15	16	required	require	VERB
absel-3192	15	17	to	to	PART
absel-3192	15	18	get	get	VERB
absel-3192	15	19	good	good	ADJ
absel-3192	15	20	results	result	NOUN
absel-3192	15	21	from	from	ADP
absel-3192	15	22	a	a	DET
absel-3192	15	23	neural	neural	ADJ
absel-3192	15	24	network	network	NOUN
absel-3192	15	25	model	model	NOUN
absel-3192	15	26	.	.	PUNCT
absel-3192	16	1	the	the	DET
absel-3192	16	2	results	result	NOUN
absel-3192	16	3	are	be	AUX
absel-3192	16	4	difficult	difficult	ADJ
absel-3192	16	5	to	to	PART
absel-3192	16	6	understand	understand	VERB
absel-3192	16	7	because	because	SCONJ
absel-3192	16	8	a	a	DET
absel-3192	16	9	dnn	dnn	PROPN
absel-3192	16	10	is	be	AUX
absel-3192	16	11	a	a	DET
absel-3192	16	12	complex	complex	ADJ
absel-3192	16	13	nonlinear	nonlinear	ADJ
absel-3192	16	14	model	model	NOUN
absel-3192	16	15	that	that	PRON
absel-3192	16	16	does	do	AUX
absel-3192	16	17	not	not	PART
absel-3192	16	18	produce	produce	VERB
absel-3192	16	19	rules	rule	NOUN
absel-3192	16	20	.	.	PUNCT
absel-3192	17	1	“	"	PUNCT
absel-3192	17	2	one	one	NUM
absel-3192	17	3	of	of	ADP
absel-3192	17	4	the	the	DET
absel-3192	17	5	great	great	ADJ
absel-3192	17	6	things	thing	NOUN
absel-3192	17	7	about	about	ADP
absel-3192	17	8	deep	deep	ADJ
absel-3192	17	9	learning	learning	NOUN
absel-3192	17	10	is	be	AUX
absel-3192	17	11	that	that	SCONJ
absel-3192	17	12	users	user	NOUN
absel-3192	17	13	can	can	AUX
absel-3192	17	14	essentially	essentially	ADV
absel-3192	17	15	just	just	ADV
absel-3192	17	16	feed	feed	VERB
absel-3192	17	17	data	datum	NOUN
absel-3192	17	18	to	to	ADP
absel-3192	17	19	a	a	DET
absel-3192	17	20	neural	neural	ADJ
absel-3192	17	21	network	network	NOUN
absel-3192	17	22	,	,	PUNCT
absel-3192	17	23	or	or	CCONJ
absel-3192	17	24	some	some	DET
absel-3192	17	25	other	other	ADJ
absel-3192	17	26	type	type	NOUN
absel-3192	17	27	of	of	ADP
absel-3192	17	28	learning	learn	VERB
absel-3192	17	29	model	model	NOUN
absel-3192	17	30	,	,	PUNCT
absel-3192	17	31	and	and	CCONJ
absel-3192	17	32	the	the	DET
absel-3192	17	33	model	model	NOUN
absel-3192	17	34	eventually	eventually	ADV
absel-3192	17	35	delivers	deliver	VERB
absel-3192	17	36	an	an	DET
absel-3192	17	37	answer	answer	NOUN
absel-3192	17	38	or	or	CCONJ
absel-3192	17	39	recommendation	recommendation	NOUN
absel-3192	17	40	.	.	PUNCT
absel-3192	18	1	the	the	DET
absel-3192	18	2	user	user	NOUN
absel-3192	18	3	does	do	AUX
absel-3192	18	4	n't	not	PART
absel-3192	18	5	have	have	VERB
absel-3192	18	6	to	to	PART
absel-3192	18	7	understand	understand	VERB
absel-3192	18	8	how	how	SCONJ
absel-3192	18	9	or	or	CCONJ
absel-3192	18	10	why	why	SCONJ
absel-3192	18	11	the	the	DET
absel-3192	18	12	model	model	NOUN
absel-3192	18	13	delivers	deliver	VERB
absel-3192	18	14	its	its	PRON
absel-3192	18	15	results	result	NOUN
absel-3192	18	16	;	;	PUNCT
absel-3192	18	17	it	it	PRON
absel-3192	18	18	just	just	ADV
absel-3192	18	19	does	do	VERB
absel-3192	18	20	.	.	PUNCT
absel-3192	19	1	but	but	CCONJ
absel-3192	19	2	some	some	DET
absel-3192	19	3	enterprises	enterprise	NOUN
absel-3192	19	4	are	be	AUX
absel-3192	19	5	finding	find	VERB
absel-3192	19	6	that	that	SCONJ
absel-3192	19	7	the	the	DET
absel-3192	19	8	black	black	PROPN
absel-3192	19	9	box	box	PROPN
absel-3192	19	10	nature	nature	NOUN
absel-3192	19	11	of	of	ADP
absel-3192	19	12	some	some	DET
absel-3192	19	13	deep	deep	ADJ
absel-3192	19	14	learning	learning	NOUN
absel-3192	19	15	models	model	NOUN
absel-3192	19	16	-where	-where	VERB
absel-3192	19	17	their	their	PRON
absel-3192	19	18	functionality	functionality	NOUN
absel-3192	19	19	is	be	AUX
absel-3192	19	20	n't	not	PART
absel-3192	19	21	seen	see	VERB
absel-3192	19	22	or	or	CCONJ
absel-3192	19	23	understood	understand	VERB
absel-3192	19	24	by	by	ADP
absel-3192	19	25	the	the	DET
absel-3192	19	26	user	user	NOUN
absel-3192	19	27	-isn't	-isn't	PROPN
absel-3192	19	28	quite	quite	ADV
absel-3192	19	29	good	good	ADJ
absel-3192	19	30	enough	enough	ADV
absel-3192	19	31	when	when	SCONJ
absel-3192	19	32	it	it	PRON
absel-3192	19	33	comes	come	VERB
absel-3192	19	34	to	to	ADP
absel-3192	19	35	their	their	PRON
absel-3192	19	36	most	most	ADV
absel-3192	19	37	important	important	ADJ
absel-3192	19	38	business	business	NOUN
absel-3192	19	39	decisions	decision	NOUN
absel-3192	19	40	.	.	PUNCT
absel-3192	20	1	a	a	DET
absel-3192	20	2	lack	lack	NOUN
absel-3192	20	3	of	of	ADP
absel-3192	20	4	transparency	transparency	NOUN
absel-3192	20	5	into	into	ADP
absel-3192	20	6	how	how	SCONJ
absel-3192	20	7	deep	deep	ADJ
absel-3192	20	8	learning	learning	NOUN
absel-3192	20	9	models	model	NOUN
absel-3192	20	10	work	work	VERB
absel-3192	20	11	is	be	AUX
absel-3192	20	12	keeping	keep	VERB
absel-3192	20	13	some	some	DET
absel-3192	20	14	businesses	business	NOUN
absel-3192	20	15	from	from	ADP
absel-3192	20	16	embracing	embrace	VERB
absel-3192	20	17	them	they	PRON
absel-3192	20	18	fully	fully	ADV
absel-3192	20	19	…	…	PUNCT
absel-3192	20	20	”	"	PUNCT
absel-3192	20	21	(	(	PUNCT
absel-3192	20	22	burns	burn	NOUN
absel-3192	20	23	,	,	PUNCT
absel-3192	20	24	2017	2017	NUM
absel-3192	20	25	)	)	PUNCT
absel-3192	20	26	.	.	PUNCT
absel-3192	21	1	different	different	ADJ
absel-3192	21	2	techniques	technique	NOUN
absel-3192	21	3	were	be	AUX
absel-3192	21	4	developed	develop	VERB
absel-3192	21	5	to	to	PART
absel-3192	21	6	help	help	VERB
absel-3192	21	7	with	with	ADP
absel-3192	21	8	this	this	DET
absel-3192	21	9	important	important	ADJ
absel-3192	21	10	point	point	NOUN
absel-3192	21	11	.	.	PUNCT
absel-3192	22	1	statistical	statistical	ADJ
absel-3192	22	2	learning	learning	NOUN
absel-3192	22	3	networks	network	NOUN
absel-3192	22	4	(	(	PUNCT
absel-3192	22	5	slns	slns	NOUN
absel-3192	22	6	)	)	PUNCT
absel-3192	22	7	can	can	AUX
absel-3192	22	8	address	address	VERB
absel-3192	22	9	the	the	DET
absel-3192	22	10	common	common	ADJ
absel-3192	22	11	problems	problem	NOUN
absel-3192	22	12	of	of	ADP
absel-3192	22	13	dnns	dnn	NOUN
absel-3192	22	14	such	such	ADJ
absel-3192	22	15	as	as	ADP
absel-3192	22	16	:	:	PUNCT
absel-3192	22	17	difficulties	difficulty	NOUN
absel-3192	22	18	in	in	ADP
absel-3192	22	19	interpretation	interpretation	NOUN
absel-3192	22	20	of	of	ADP
absel-3192	22	21	the	the	DET
absel-3192	22	22	results	result	NOUN
absel-3192	22	23	(	(	PUNCT
absel-3192	22	24	dnns	dnn	NOUN
absel-3192	22	25	are	be	AUX
absel-3192	22	26	implicit	implicit	ADJ
absel-3192	22	27	models	model	NOUN
absel-3192	22	28	with	with	ADP
absel-3192	22	29	no	no	DET
absel-3192	22	30	explanation	explanation	NOUN
absel-3192	22	31	component	component	NOUN
absel-3192	22	32	by	by	ADP
absel-3192	22	33	default	default	NOUN
absel-3192	22	34	)	)	PUNCT
absel-3192	22	35	,	,	PUNCT
absel-3192	22	36	the	the	DET
absel-3192	22	37	problem	problem	NOUN
absel-3192	22	38	of	of	ADP
absel-3192	22	39	overfitting	overfitte	VERB
absel-3192	22	40	,	,	PUNCT
absel-3192	22	41	designing	design	VERB
absel-3192	22	42	dnn	dnn	PROPN
absel-3192	22	43	topology	topology	NOUN
absel-3192	22	44	is	be	AUX
absel-3192	22	45	in	in	ADP
absel-3192	22	46	general	general	ADJ
absel-3192	22	47	a	a	DET
absel-3192	22	48	trial	trial	NOUN
absel-3192	22	49	-	-	PUNCT
absel-3192	22	50	and	and	CCONJ
absel-3192	22	51	-	-	PUNCT
absel-3192	22	52	error	error	NOUN
absel-3192	22	53	process	process	NOUN
absel-3192	22	54	and	and	CCONJ
absel-3192	22	55	there	there	PRON
absel-3192	22	56	are	be	VERB
absel-3192	22	57	no	no	DET
absel-3192	22	58	rules	rule	NOUN
absel-3192	22	59	how	how	SCONJ
absel-3192	22	60	to	to	PART
absel-3192	22	61	use	use	VERB
absel-3192	22	62	the	the	DET
absel-3192	22	63	theoretical	theoretical	ADJ
absel-3192	22	64	a	a	DET
absel-3192	22	65	priori	priori	ADJ
absel-3192	22	66	knowledge	knowledge	NOUN
absel-3192	22	67	in	in	ADP
absel-3192	22	68	dnn	dnn	PROPN
absel-3192	22	69	design	design	PROPN
absel-3192	22	70	(	(	PUNCT
absel-3192	22	71	müller	müller	NOUN
absel-3192	22	72	and	and	CCONJ
absel-3192	22	73	lemke	lemke	PROPN
absel-3192	22	74	,	,	PUNCT
absel-3192	22	75	2003	2003	NUM
absel-3192	22	76	)	)	PUNCT
absel-3192	22	77	.	.	PUNCT
absel-3192	23	1	this	this	DET
absel-3192	23	2	paper	paper	NOUN
absel-3192	23	3	discusses	discuss	VERB
absel-3192	23	4	a	a	DET
absel-3192	23	5	highly	highly	ADV
absel-3192	23	6	automated	automate	VERB
absel-3192	23	7	procedure	procedure	NOUN
absel-3192	23	8	for	for	ADP
absel-3192	23	9	developing	develop	VERB
absel-3192	23	10	statistical	statistical	ADJ
absel-3192	23	11	learning	learning	NOUN
absel-3192	23	12	networks	network	NOUN
absel-3192	23	13	in	in	ADP
absel-3192	23	14	the	the	DET
absel-3192	23	15	form	form	NOUN
absel-3192	23	16	of	of	ADP
absel-3192	23	17	multilayered	multilayered	ADJ
absel-3192	23	18	networks	network	NOUN
absel-3192	23	19	of	of	ADP
absel-3192	23	20	active	active	ADJ
absel-3192	23	21	neurons	neuron	NOUN
absel-3192	23	22	for	for	ADP
absel-3192	23	23	business	business	NOUN
absel-3192	23	24	simulations	simulation	NOUN
absel-3192	23	25	using	use	VERB
absel-3192	23	26	the	the	DET
absel-3192	23	27	group	group	NOUN
absel-3192	23	28	method	method	NOUN
absel-3192	23	29	of	of	ADP
absel-3192	23	30	data	data	NOUN
absel-3192	23	31	handling	handling	NOUN
absel-3192	23	32	(	(	PUNCT
absel-3192	23	33	madala	madala	ADJ
absel-3192	23	34	and	and	CCONJ
absel-3192	23	35	ivakhnenko	ivakhnenko	NOUN
absel-3192	23	36	,	,	PUNCT
absel-3192	23	37	1994	1994	NUM
absel-3192	23	38	)	)	PUNCT
absel-3192	23	39	.	.	PUNCT
absel-3192	24	1	it	it	PRON
absel-3192	24	2	presents	present	VERB
absel-3192	24	3	some	some	PRON
absel-3192	24	4	of	of	ADP
absel-3192	24	5	the	the	DET
absel-3192	24	6	results	result	NOUN
absel-3192	24	7	from	from	ADP
absel-3192	24	8	international	international	ADJ
absel-3192	24	9	research	research	NOUN
absel-3192	24	10	done	do	VERB
absel-3192	24	11	in	in	ADP
absel-3192	24	12	europe	europe	PROPN
absel-3192	24	13	,	,	PUNCT
absel-3192	24	14	australia	australia	PROPN
absel-3192	24	15	,	,	PUNCT
absel-3192	24	16	and	and	CCONJ
absel-3192	24	17	the	the	DET
absel-3192	24	18	united	united	PROPN
absel-3192	24	19	states	states	PROPN
absel-3192	24	20	.	.	PUNCT
absel-3192	25	1	deep	deep	ADJ
absel-3192	25	2	learning	learn	VERB
absel-3192	25	3	artificial	artificial	ADJ
absel-3192	25	4	neural	neural	ADJ
absel-3192	25	5	networks	network	NOUN
absel-3192	25	6	according	accord	VERB
absel-3192	25	7	to	to	ADP
absel-3192	25	8	berry	berry	NOUN
absel-3192	25	9	and	and	CCONJ
absel-3192	25	10	linoff	linoff	NOUN
absel-3192	25	11	(	(	PUNCT
absel-3192	25	12	2000	2000	NUM
absel-3192	25	13	)	)	PUNCT
absel-3192	25	14	and	and	CCONJ
absel-3192	25	15	many	many	ADJ
absel-3192	25	16	other	other	ADJ
absel-3192	25	17	authors	author	NOUN
absel-3192	25	18	(	(	PUNCT
absel-3192	25	19	zhang	zhang	X
absel-3192	25	20	et	et	PROPN
absel-3192	25	21	al	al	PROPN
absel-3192	25	22	.	.	PROPN
absel-3192	25	23	1998	1998	NUM
absel-3192	25	24	)	)	PUNCT
absel-3192	25	25	the	the	DET
absel-3192	25	26	basic	basic	ADJ
absel-3192	25	27	objective	objective	NOUN
absel-3192	25	28	of	of	ADP
absel-3192	25	29	artificial	artificial	ADJ
absel-3192	25	30	neural	neural	ADJ
absel-3192	25	31	networks	network	NOUN
absel-3192	25	32	(	(	PUNCT
absel-3192	25	33	anns	anns	PROPN
absel-3192	25	34	)	)	PUNCT
absel-3192	25	35	is	be	AUX
absel-3192	25	36	to	to	PART
absel-3192	25	37	construct	construct	VERB
absel-3192	25	38	a	a	DET
absel-3192	25	39	model	model	NOUN
absel-3192	25	40	for	for	ADP
absel-3192	25	41	mimicking	mimic	VERB
absel-3192	25	42	the	the	DET
absel-3192	25	43	intelligence	intelligence	NOUN
absel-3192	25	44	of	of	ADP
absel-3192	25	45	the	the	DET
absel-3192	25	46	human	human	ADJ
absel-3192	25	47	brain	brain	NOUN
absel-3192	25	48	in	in	ADP
absel-3192	25	49	machines	machine	NOUN
absel-3192	25	50	.	.	PUNCT
absel-3192	26	1	similar	similar	ADJ
absel-3192	26	2	to	to	ADP
absel-3192	26	3	the	the	DET
absel-3192	26	4	work	work	NOUN
absel-3192	26	5	of	of	ADP
absel-3192	26	6	a	a	DET
absel-3192	26	7	statistical	statistical	ADJ
absel-3192	26	8	learning	learning	NOUN
absel-3192	26	9	networks	network	NOUN
absel-3192	26	10	in	in	ADP
absel-3192	26	11	simulations	simulation	NOUN
absel-3192	26	12	for	for	ADP
absel-3192	26	13	business	business	NOUN
absel-3192	26	14	training	training	NOUN
absel-3192	26	15	and	and	CCONJ
absel-3192	26	16	education	education	NOUN
absel-3192	26	17	mihail	mihail	NOUN
absel-3192	26	18	motzev	motzev	PROPN
absel-3192	26	19	walla	walla	PROPN
absel-3192	26	20	walla	walla	PROPN
absel-3192	26	21	university	university	PROPN
absel-3192	26	22	mihail.motzev@wallawalla.edu	mihail.motzev@wallawalla.edu	PROPN
absel-3192	26	23	page	page	NOUN
absel-3192	26	24	296	296	NUM
absel-3192	26	25	developments	development	NOUN
absel-3192	26	26	in	in	ADP
absel-3192	26	27	business	business	NOUN
absel-3192	26	28	simulation	simulation	NOUN
absel-3192	26	29	and	and	CCONJ
absel-3192	26	30	experiential	experiential	ADJ
absel-3192	26	31	learning	learning	NOUN
absel-3192	26	32	,	,	PUNCT
absel-3192	26	33	volume	volume	NOUN
absel-3192	26	34	45	45	NUM
absel-3192	26	35	,	,	PUNCT
absel-3192	26	36	2018	2018	NUM
absel-3192	26	37	human	human	ADJ
absel-3192	26	38	brain	brain	NOUN
absel-3192	26	39	,	,	PUNCT
absel-3192	26	40	anns	ann	NOUN
absel-3192	26	41	try	try	VERB
absel-3192	26	42	to	to	PART
absel-3192	26	43	recognize	recognize	VERB
absel-3192	26	44	regularities	regularity	NOUN
absel-3192	26	45	and	and	CCONJ
absel-3192	26	46	patterns	pattern	NOUN
absel-3192	26	47	in	in	ADP
absel-3192	26	48	the	the	DET
absel-3192	26	49	input	input	NOUN
absel-3192	26	50	data	datum	NOUN
absel-3192	26	51	,	,	PUNCT
absel-3192	26	52	“	"	PUNCT
absel-3192	26	53	learn	learn	VERB
absel-3192	26	54	”	"	PUNCT
absel-3192	26	55	from	from	ADP
absel-3192	26	56	experience	experience	NOUN
absel-3192	26	57	,	,	PUNCT
absel-3192	26	58	and	and	CCONJ
absel-3192	26	59	then	then	ADV
absel-3192	26	60	provide	provide	VERB
absel-3192	26	61	generalized	generalized	ADJ
absel-3192	26	62	results	result	NOUN
absel-3192	26	63	based	base	VERB
absel-3192	26	64	on	on	ADP
absel-3192	26	65	their	their	PRON
absel-3192	26	66	known	know	VERB
absel-3192	26	67	previous	previous	ADJ
absel-3192	26	68	knowledge	knowledge	NOUN
absel-3192	26	69	.	.	PUNCT
absel-3192	27	1	hence	hence	ADV
absel-3192	27	2	,	,	PUNCT
absel-3192	27	3	an	an	DET
absel-3192	27	4	ann	ann	PROPN
absel-3192	27	5	is	be	AUX
absel-3192	27	6	presented	present	VERB
absel-3192	27	7	as	as	ADP
absel-3192	27	8	a	a	DET
absel-3192	27	9	network	network	NOUN
absel-3192	27	10	of	of	ADP
absel-3192	27	11	“	"	PUNCT
absel-3192	27	12	neurons	neuron	NOUN
absel-3192	27	13	”	"	PUNCT
absel-3192	27	14	organized	organize	VERB
absel-3192	27	15	in	in	ADP
absel-3192	27	16	layers	layer	NOUN
absel-3192	27	17	(	(	PUNCT
absel-3192	27	18	see	see	VERB
absel-3192	27	19	exhibit	exhibit	NOUN
absel-3192	27	20	1	1	NUM
absel-3192	27	21	)	)	PUNCT
absel-3192	27	22	.	.	PUNCT
absel-3192	28	1	the	the	DET
absel-3192	28	2	first	first	ADJ
absel-3192	28	3	layer	layer	NOUN
absel-3192	28	4	is	be	AUX
absel-3192	28	5	referred	refer	VERB
absel-3192	28	6	to	to	ADP
absel-3192	28	7	as	as	ADP
absel-3192	28	8	the	the	DET
absel-3192	28	9	input	input	NOUN
absel-3192	28	10	layer	layer	NOUN
absel-3192	28	11	and	and	CCONJ
absel-3192	28	12	contains	contain	VERB
absel-3192	28	13	the	the	DET
absel-3192	28	14	original	original	ADJ
absel-3192	28	15	factors	factor	NOUN
absel-3192	28	16	or	or	CCONJ
absel-3192	28	17	some	some	DET
absel-3192	28	18	transformation	transformation	NOUN
absel-3192	28	19	of	of	ADP
absel-3192	28	20	their	their	PRON
absel-3192	28	21	values	value	NOUN
absel-3192	28	22	.	.	PUNCT
absel-3192	29	1	the	the	DET
absel-3192	29	2	projections	projection	NOUN
absel-3192	29	3	form	form	VERB
absel-3192	29	4	the	the	DET
absel-3192	29	5	last	last	ADJ
absel-3192	29	6	layer	layer	NOUN
absel-3192	29	7	(	(	PUNCT
absel-3192	29	8	output	output	NOUN
absel-3192	29	9	layer	layer	NOUN
absel-3192	29	10	)	)	PUNCT
absel-3192	29	11	.	.	PUNCT
absel-3192	30	1	each	each	PRON
absel-3192	30	2	of	of	ADP
absel-3192	30	3	the	the	DET
absel-3192	30	4	inputs	input	NOUN
absel-3192	30	5	has	have	VERB
absel-3192	30	6	its	its	PRON
absel-3192	30	7	own	own	ADJ
absel-3192	30	8	unit	unit	NOUN
absel-3192	30	9	,	,	PUNCT
absel-3192	30	10	called	call	VERB
absel-3192	30	11	a	a	DET
absel-3192	30	12	network	network	NOUN
absel-3192	30	13	node	node	NOUN
absel-3192	30	14	(	(	PUNCT
absel-3192	30	15	a	a	DET
absel-3192	30	16	neuron	neuron	NOUN
absel-3192	30	17	)	)	PUNCT
absel-3192	30	18	.	.	PUNCT
absel-3192	31	1	in	in	ADP
absel-3192	31	2	general	general	ADJ
absel-3192	31	3	,	,	PUNCT
absel-3192	31	4	it	it	PRON
absel-3192	31	5	is	be	AUX
absel-3192	31	6	not	not	PART
absel-3192	31	7	the	the	DET
absel-3192	31	8	actual	actual	ADJ
absel-3192	31	9	values	value	NOUN
absel-3192	31	10	of	of	ADP
absel-3192	31	11	the	the	DET
absel-3192	31	12	input	input	NOUN
absel-3192	31	13	variables	variable	NOUN
absel-3192	31	14	that	that	PRON
absel-3192	31	15	are	be	AUX
absel-3192	31	16	fed	feed	VERB
absel-3192	31	17	into	into	ADP
absel-3192	31	18	the	the	DET
absel-3192	31	19	input	input	NOUN
absel-3192	31	20	layer	layer	NOUN
absel-3192	31	21	,	,	PUNCT
absel-3192	31	22	but	but	CCONJ
absel-3192	31	23	some	some	DET
absel-3192	31	24	transformation	transformation	NOUN
absel-3192	31	25	of	of	ADP
absel-3192	31	26	those	those	DET
absel-3192	31	27	values	value	NOUN
absel-3192	31	28	.	.	PUNCT
absel-3192	32	1	in	in	ADP
absel-3192	32	2	simple	simple	ADJ
absel-3192	32	3	anns	anns	NOUN
absel-3192	32	4	each	each	DET
absel-3192	32	5	input	input	NOUN
absel-3192	32	6	unit	unit	NOUN
absel-3192	32	7	is	be	AUX
absel-3192	32	8	connected	connect	VERB
absel-3192	32	9	directly	directly	ADV
absel-3192	32	10	to	to	ADP
absel-3192	32	11	the	the	DET
absel-3192	32	12	output	output	NOUN
absel-3192	32	13	unit	unit	NOUN
absel-3192	32	14	with	with	ADP
absel-3192	32	15	a	a	DET
absel-3192	32	16	weight	weight	NOUN
absel-3192	32	17	.	.	PUNCT
absel-3192	33	1	inside	inside	ADP
absel-3192	33	2	the	the	DET
absel-3192	33	3	output	output	NOUN
absel-3192	33	4	unit	unit	NOUN
absel-3192	33	5	,	,	PUNCT
absel-3192	33	6	the	the	DET
absel-3192	33	7	input	input	NOUN
absel-3192	33	8	weights	weight	NOUN
absel-3192	33	9	are	be	AUX
absel-3192	33	10	combined	combine	VERB
absel-3192	33	11	using	use	VERB
absel-3192	33	12	a	a	DET
absel-3192	33	13	combination	combination	NOUN
absel-3192	33	14	function	function	NOUN
absel-3192	33	15	and	and	CCONJ
absel-3192	33	16	then	then	ADV
absel-3192	33	17	passed	pass	VERB
absel-3192	33	18	to	to	ADP
absel-3192	33	19	a	a	DET
absel-3192	33	20	transfer	transfer	NOUN
absel-3192	33	21	function	function	NOUN
absel-3192	33	22	,	,	PUNCT
absel-3192	33	23	the	the	DET
absel-3192	33	24	result	result	NOUN
absel-3192	33	25	of	of	ADP
absel-3192	33	26	which	which	PRON
absel-3192	33	27	is	be	AUX
absel-3192	33	28	the	the	DET
absel-3192	33	29	output	output	NOUN
absel-3192	33	30	of	of	ADP
absel-3192	33	31	the	the	DET
absel-3192	33	32	network	network	NOUN
absel-3192	33	33	.	.	PUNCT
absel-3192	34	1	together	together	ADV
absel-3192	34	2	,	,	PUNCT
absel-3192	34	3	the	the	DET
absel-3192	34	4	combination	combination	NOUN
absel-3192	34	5	function	function	NOUN
absel-3192	34	6	and	and	CCONJ
absel-3192	34	7	the	the	DET
absel-3192	34	8	transfer	transfer	NOUN
absel-3192	34	9	function	function	NOUN
absel-3192	34	10	make	make	VERB
absel-3192	34	11	up	up	ADP
absel-3192	34	12	the	the	DET
absel-3192	34	13	unit	unit	NOUN
absel-3192	34	14	’s	’s	PART
absel-3192	34	15	activation	activation	NOUN
absel-3192	34	16	function	function	NOUN
absel-3192	34	17	(	(	PUNCT
absel-3192	34	18	exhibit	exhibit	NOUN
absel-3192	34	19	2	2	NUM
absel-3192	34	20	)	)	PUNCT
absel-3192	34	21	.	.	PUNCT
absel-3192	35	1	the	the	DET
absel-3192	35	2	value	value	NOUN
absel-3192	35	3	produced	produce	VERB
absel-3192	35	4	by	by	ADP
absel-3192	35	5	the	the	DET
absel-3192	35	6	activation	activation	NOUN
absel-3192	35	7	function	function	NOUN
absel-3192	35	8	of	of	ADP
absel-3192	35	9	the	the	DET
absel-3192	35	10	output	output	NOUN
absel-3192	35	11	node	node	NOUN
absel-3192	35	12	can	can	AUX
absel-3192	35	13	be	be	AUX
absel-3192	35	14	the	the	DET
absel-3192	35	15	prediction	prediction	NOUN
absel-3192	35	16	or	or	CCONJ
absel-3192	35	17	a	a	DET
absel-3192	35	18	transformation	transformation	NOUN
absel-3192	35	19	of	of	ADP
absel-3192	35	20	the	the	DET
absel-3192	35	21	actual	actual	ADJ
absel-3192	35	22	desired	desire	VERB
absel-3192	35	23	output	output	NOUN
absel-3192	35	24	.	.	PUNCT
absel-3192	36	1	most	most	ADJ
absel-3192	36	2	anns	ann	NOUN
absel-3192	36	3	have	have	VERB
absel-3192	36	4	one	one	NUM
absel-3192	36	5	or	or	CCONJ
absel-3192	36	6	more	more	ADV
absel-3192	36	7	additional	additional	ADJ
absel-3192	36	8	layers	layer	NOUN
absel-3192	36	9	of	of	ADP
absel-3192	36	10	units	unit	NOUN
absel-3192	36	11	between	between	ADP
absel-3192	36	12	the	the	DET
absel-3192	36	13	input	input	NOUN
absel-3192	36	14	and	and	CCONJ
absel-3192	36	15	output	output	NOUN
absel-3192	36	16	layers	layer	NOUN
absel-3192	36	17	.	.	PUNCT
absel-3192	37	1	these	these	DET
absel-3192	37	2	intermediate	intermediate	ADJ
absel-3192	37	3	layers	layer	NOUN
absel-3192	37	4	are	be	AUX
absel-3192	37	5	called	call	VERB
absel-3192	37	6	hidden	hidden	ADJ
absel-3192	37	7	layers	layer	NOUN
absel-3192	37	8	and	and	CCONJ
absel-3192	37	9	the	the	DET
absel-3192	37	10	units	unit	NOUN
absel-3192	37	11	in	in	ADP
absel-3192	37	12	them	they	PRON
absel-3192	37	13	are	be	AUX
absel-3192	37	14	hidden	hidden	ADJ
absel-3192	37	15	units	unit	NOUN
absel-3192	37	16	(	(	PUNCT
absel-3192	37	17	hidden	hide	VERB
absel-3192	37	18	neurons	neuron	NOUN
absel-3192	37	19	)	)	PUNCT
absel-3192	37	20	.	.	PUNCT
absel-3192	38	1	with	with	ADP
absel-3192	38	2	the	the	DET
absel-3192	38	3	addition	addition	NOUN
absel-3192	38	4	of	of	ADP
absel-3192	38	5	the	the	DET
absel-3192	38	6	hidden	hide	VERB
absel-3192	38	7	layer	layer	NOUN
absel-3192	38	8	,	,	PUNCT
absel-3192	38	9	the	the	DET
absel-3192	38	10	function	function	NOUN
absel-3192	38	11	represented	represent	VERB
absel-3192	38	12	by	by	ADP
absel-3192	38	13	the	the	DET
absel-3192	38	14	network	network	NOUN
absel-3192	38	15	is	be	AUX
absel-3192	38	16	no	no	ADV
absel-3192	38	17	longer	long	ADV
absel-3192	38	18	a	a	DET
absel-3192	38	19	simple	simple	ADJ
absel-3192	38	20	combination	combination	NOUN
absel-3192	38	21	of	of	ADP
absel-3192	38	22	its	its	PRON
absel-3192	38	23	inputs	input	NOUN
absel-3192	38	24	.	.	PUNCT
absel-3192	39	1	the	the	DET
absel-3192	39	2	output	output	NOUN
absel-3192	39	3	value	value	NOUN
absel-3192	39	4	is	be	AUX
absel-3192	39	5	now	now	ADV
absel-3192	39	6	calculated	calculate	VERB
absel-3192	39	7	by	by	ADP
absel-3192	39	8	feeding	feed	VERB
absel-3192	39	9	the	the	DET
absel-3192	39	10	weights	weight	NOUN
absel-3192	39	11	coming	come	VERB
absel-3192	39	12	from	from	ADP
absel-3192	39	13	the	the	DET
absel-3192	39	14	two	two	NUM
absel-3192	39	15	hidden	hide	VERB
absel-3192	39	16	units	unit	NOUN
absel-3192	39	17	to	to	ADP
absel-3192	39	18	the	the	DET
absel-3192	39	19	activation	activation	NOUN
absel-3192	39	20	function	function	NOUN
absel-3192	39	21	of	of	ADP
absel-3192	39	22	the	the	DET
absel-3192	39	23	output	output	NOUN
absel-3192	39	24	unit	unit	NOUN
absel-3192	39	25	.	.	PUNCT
absel-3192	40	1	the	the	DET
absel-3192	40	2	weights	weight	NOUN
absel-3192	40	3	produced	produce	VERB
absel-3192	40	4	by	by	ADP
absel-3192	40	5	the	the	DET
absel-3192	40	6	hidden	hide	VERB
absel-3192	40	7	units	unit	NOUN
absel-3192	40	8	are	be	AUX
absel-3192	40	9	themselves	themselves	PRON
absel-3192	40	10	functions	function	NOUN
absel-3192	40	11	of	of	ADP
absel-3192	40	12	the	the	DET
absel-3192	40	13	input	input	NOUN
absel-3192	40	14	units	unit	NOUN
absel-3192	40	15	,	,	PUNCT
absel-3192	40	16	each	each	PRON
absel-3192	40	17	of	of	ADP
absel-3192	40	18	which	which	PRON
absel-3192	40	19	is	be	AUX
absel-3192	40	20	connected	connect	VERB
absel-3192	40	21	to	to	ADP
absel-3192	40	22	both	both	DET
absel-3192	40	23	units	unit	NOUN
absel-3192	40	24	of	of	ADP
absel-3192	40	25	the	the	DET
absel-3192	40	26	hidden	hide	VERB
absel-3192	40	27	layer	layer	NOUN
absel-3192	40	28	.	.	PUNCT
absel-3192	41	1	with	with	ADP
absel-3192	41	2	intermediate	intermediate	ADJ
absel-3192	41	3	layers	layer	NOUN
absel-3192	41	4	containing	contain	VERB
absel-3192	41	5	hidden	hide	VERB
absel-3192	41	6	neurons	neuron	NOUN
absel-3192	41	7	,	,	PUNCT
absel-3192	41	8	the	the	DET
absel-3192	41	9	ann	ann	PROPN
absel-3192	41	10	becomes	become	VERB
absel-3192	41	11	non	non	ADJ
absel-3192	41	12	-	-	ADJ
absel-3192	41	13	linear	linear	ADJ
absel-3192	41	14	.	.	PUNCT
absel-3192	42	1	this	this	PRON
absel-3192	42	2	is	be	AUX
absel-3192	42	3	referred	refer	VERB
absel-3192	42	4	to	to	ADP
absel-3192	42	5	as	as	ADP
absel-3192	42	6	a	a	DET
absel-3192	42	7	“	"	PUNCT
absel-3192	42	8	multilayer	multilayer	ADJ
absel-3192	42	9	feedforward	feedforward	NOUN
absel-3192	42	10	network	network	NOUN
absel-3192	42	11	”	"	PUNCT
absel-3192	42	12	(	(	PUNCT
absel-3192	42	13	fnn	fnn	NOUN
absel-3192	42	14	)	)	PUNCT
absel-3192	42	15	where	where	SCONJ
absel-3192	42	16	each	each	DET
absel-3192	42	17	layer	layer	NOUN
absel-3192	42	18	of	of	ADP
absel-3192	42	19	nodes	node	NOUN
absel-3192	42	20	receives	receive	VERB
absel-3192	42	21	inputs	input	NOUN
absel-3192	42	22	from	from	ADP
absel-3192	42	23	the	the	DET
absel-3192	42	24	previous	previous	ADJ
absel-3192	42	25	layers	layer	NOUN
absel-3192	42	26	.	.	PUNCT
absel-3192	43	1	by	by	ADP
absel-3192	43	2	feed	feed	NOUN
absel-3192	43	3	-	-	PUNCT
absel-3192	43	4	forward	forward	NOUN
absel-3192	43	5	we	we	PRON
absel-3192	43	6	mean	mean	VERB
absel-3192	43	7	that	that	SCONJ
absel-3192	43	8	data	datum	NOUN
absel-3192	43	9	exhibit	exhibit	VERB
absel-3192	43	10	1	1	NUM
absel-3192	43	11	general	general	ADJ
absel-3192	43	12	example	example	NOUN
absel-3192	43	13	of	of	ADP
absel-3192	43	14	multilayer	multilayer	ADJ
absel-3192	43	15	feed	feed	NOUN
absel-3192	43	16	-	-	PUNCT
absel-3192	43	17	forward	forward	NOUN
absel-3192	43	18	ann	ann	PROPN
absel-3192	43	19	(	(	PUNCT
absel-3192	43	20	source	source	NOUN
absel-3192	43	21	:	:	PUNCT
absel-3192	43	22	http://python3.codes/neural-network-python-part-1-sigmoid-function-gradient-descent-backpropagation/	http://python3.codes/neural-network-python-part-1-sigmoid-function-gradient-descent-backpropagation/	NUM
absel-3192	43	23	)	)	PUNCT
absel-3192	43	24	exhibit	exhibit	VERB
absel-3192	43	25	2	2	NUM
absel-3192	43	26	example	example	NOUN
absel-3192	43	27	of	of	ADP
absel-3192	43	28	ann	ann	PROPN
absel-3192	43	29	computational	computational	ADJ
absel-3192	43	30	process	process	NOUN
absel-3192	43	31	(	(	PUNCT
absel-3192	43	32	source	source	NOUN
absel-3192	43	33	:	:	PUNCT
absel-3192	43	34	https://www.kdnuggets.com/2016/10/artificial-intelligence-deep-learning-neural-networks-explained.html	https://www.kdnuggets.com/2016/10/artificial-intelligence-deep-learning-neural-networks-explained.html	X
absel-3192	43	35	)	)	PUNCT
absel-3192	43	36	page	page	NOUN
absel-3192	43	37	297	297	NUM
absel-3192	43	38	developments	development	NOUN
absel-3192	43	39	in	in	ADP
absel-3192	43	40	business	business	NOUN
absel-3192	43	41	simulation	simulation	NOUN
absel-3192	43	42	and	and	CCONJ
absel-3192	43	43	experiential	experiential	ADJ
absel-3192	43	44	learning	learning	NOUN
absel-3192	43	45	,	,	PUNCT
absel-3192	43	46	volume	volume	NOUN
absel-3192	43	47	45	45	NUM
absel-3192	43	48	,	,	PUNCT
absel-3192	43	49	2018	2018	NUM
absel-3192	43	50	enters	enter	VERB
absel-3192	43	51	at	at	ADP
absel-3192	43	52	the	the	DET
absel-3192	43	53	input	input	NOUN
absel-3192	43	54	nodes	node	NOUN
absel-3192	43	55	and	and	CCONJ
absel-3192	43	56	exits	exit	VERB
absel-3192	43	57	at	at	ADP
absel-3192	43	58	the	the	DET
absel-3192	43	59	output	output	NOUN
absel-3192	43	60	nodes	node	NOUN
absel-3192	43	61	without	without	ADP
absel-3192	43	62	ever	ever	ADV
absel-3192	43	63	looping	loop	VERB
absel-3192	43	64	back	back	ADV
absel-3192	43	65	on	on	ADP
absel-3192	43	66	itself	itself	PRON
absel-3192	43	67	.	.	PUNCT
absel-3192	44	1	anns	anns	PROPN
absel-3192	44	2	like	like	ADP
absel-3192	44	3	this	this	PRON
absel-3192	44	4	are	be	AUX
absel-3192	44	5	also	also	ADV
absel-3192	44	6	known	know	VERB
absel-3192	44	7	as	as	ADP
absel-3192	44	8	multilayer	multilayer	ADJ
absel-3192	44	9	perceptrons	perceptron	NOUN
absel-3192	44	10	.	.	PUNCT
absel-3192	45	1	there	there	PRON
absel-3192	45	2	are	be	VERB
absel-3192	45	3	many	many	ADJ
absel-3192	45	4	ann	ann	PROPN
absel-3192	45	5	architectures	architecture	NOUN
absel-3192	45	6	that	that	PRON
absel-3192	45	7	may	may	AUX
absel-3192	45	8	include	include	VERB
absel-3192	45	9	loops	loop	NOUN
absel-3192	45	10	or	or	CCONJ
absel-3192	45	11	ones	one	NOUN
absel-3192	45	12	where	where	SCONJ
absel-3192	45	13	the	the	DET
absel-3192	45	14	inputs	input	NOUN
absel-3192	45	15	arrive	arrive	VERB
absel-3192	45	16	in	in	ADP
absel-3192	45	17	waves	wave	NOUN
absel-3192	45	18	,	,	PUNCT
absel-3192	45	19	not	not	PART
absel-3192	45	20	all	all	PRON
absel-3192	45	21	at	at	ADP
absel-3192	45	22	the	the	DET
absel-3192	45	23	same	same	ADJ
absel-3192	45	24	time	time	NOUN
absel-3192	45	25	.	.	PUNCT
absel-3192	46	1	the	the	DET
absel-3192	46	2	outputs	output	NOUN
absel-3192	46	3	of	of	ADP
absel-3192	46	4	nodes	node	NOUN
absel-3192	46	5	in	in	ADP
absel-3192	46	6	one	one	NUM
absel-3192	46	7	layer	layer	NOUN
absel-3192	46	8	are	be	AUX
absel-3192	46	9	inputs	input	NOUN
absel-3192	46	10	to	to	ADP
absel-3192	46	11	the	the	DET
absel-3192	46	12	next	next	ADJ
absel-3192	46	13	layer	layer	NOUN
absel-3192	46	14	.	.	PUNCT
absel-3192	47	1	the	the	DET
absel-3192	47	2	inputs	input	NOUN
absel-3192	47	3	to	to	ADP
absel-3192	47	4	each	each	DET
absel-3192	47	5	node	node	NOUN
absel-3192	47	6	are	be	AUX
absel-3192	47	7	combined	combine	VERB
absel-3192	47	8	using	use	VERB
absel-3192	47	9	a	a	DET
absel-3192	47	10	weighted	weight	VERB
absel-3192	47	11	linear	linear	ADJ
absel-3192	47	12	combination	combination	NOUN
absel-3192	47	13	.	.	PUNCT
absel-3192	48	1	the	the	DET
absel-3192	48	2	result	result	NOUN
absel-3192	48	3	is	be	AUX
absel-3192	48	4	then	then	ADV
absel-3192	48	5	modified	modify	VERB
absel-3192	48	6	by	by	ADP
absel-3192	48	7	a	a	DET
absel-3192	48	8	nonlinear	nonlinear	ADJ
absel-3192	48	9	function	function	NOUN
absel-3192	48	10	before	before	ADP
absel-3192	48	11	being	be	AUX
absel-3192	48	12	output	output	NOUN
absel-3192	48	13	.	.	PUNCT
absel-3192	49	1	the	the	DET
absel-3192	49	2	parameters	parameter	NOUN
absel-3192	49	3	of	of	ADP
absel-3192	49	4	the	the	DET
absel-3192	49	5	functions	function	NOUN
absel-3192	49	6	and	and	CCONJ
absel-3192	49	7	the	the	DET
absel-3192	49	8	weights	weight	NOUN
absel-3192	49	9	are	be	AUX
absel-3192	49	10	"	"	PUNCT
absel-3192	49	11	learned	learn	VERB
absel-3192	49	12	"	"	PUNCT
absel-3192	49	13	from	from	ADP
absel-3192	49	14	the	the	DET
absel-3192	49	15	data	datum	NOUN
absel-3192	49	16	.	.	PUNCT
absel-3192	50	1	training	train	VERB
absel-3192	50	2	a	a	DET
absel-3192	50	3	neural	neural	ADJ
absel-3192	50	4	network	network	NOUN
absel-3192	50	5	is	be	AUX
absel-3192	50	6	the	the	DET
absel-3192	50	7	process	process	NOUN
absel-3192	50	8	of	of	ADP
absel-3192	50	9	setting	set	VERB
absel-3192	50	10	the	the	DET
absel-3192	50	11	weights	weight	NOUN
absel-3192	50	12	on	on	ADP
absel-3192	50	13	the	the	DET
absel-3192	50	14	inputs	input	NOUN
absel-3192	50	15	of	of	ADP
absel-3192	50	16	each	each	PRON
absel-3192	50	17	of	of	ADP
absel-3192	50	18	the	the	DET
absel-3192	50	19	units	unit	NOUN
absel-3192	50	20	in	in	ADP
absel-3192	50	21	such	such	DET
absel-3192	50	22	a	a	DET
absel-3192	50	23	way	way	NOUN
absel-3192	50	24	that	that	PRON
absel-3192	50	25	the	the	DET
absel-3192	50	26	ann	ann	PROPN
absel-3192	50	27	best	good	ADJ
absel-3192	50	28	approximates	approximate	VERB
absel-3192	50	29	the	the	DET
absel-3192	50	30	underlying	underlie	VERB
absel-3192	50	31	function	function	NOUN
absel-3192	50	32	.	.	PUNCT
absel-3192	51	1	this	this	PRON
absel-3192	51	2	is	be	AUX
absel-3192	51	3	an	an	DET
absel-3192	51	4	optimization	optimization	NOUN
absel-3192	51	5	problem	problem	NOUN
absel-3192	51	6	and	and	CCONJ
absel-3192	51	7	most	most	ADJ
absel-3192	51	8	software	software	NOUN
absel-3192	51	9	packages	package	NOUN
absel-3192	51	10	for	for	ADP
absel-3192	51	11	building	build	VERB
absel-3192	51	12	ann	ann	PROPN
absel-3192	51	13	models	model	NOUN
absel-3192	51	14	use	use	VERB
absel-3192	51	15	some	some	DET
absel-3192	51	16	variation	variation	NOUN
absel-3192	51	17	of	of	ADP
absel-3192	51	18	the	the	DET
absel-3192	51	19	technique	technique	NOUN
absel-3192	51	20	known	know	VERB
absel-3192	51	21	as	as	ADP
absel-3192	51	22	backpropagation	backpropagation	NOUN
absel-3192	51	23	.	.	PUNCT
absel-3192	52	1	the	the	DET
absel-3192	52	2	term	term	NOUN
absel-3192	52	3	backpropagation	backpropagation	NOUN
absel-3192	52	4	refers	refer	VERB
absel-3192	52	5	to	to	ADP
absel-3192	52	6	any	any	DET
absel-3192	52	7	method	method	NOUN
absel-3192	52	8	of	of	ADP
absel-3192	52	9	training	training	NOUN
absel-3192	52	10	an	an	DET
absel-3192	52	11	ann	ann	NOUN
absel-3192	52	12	that	that	PRON
absel-3192	52	13	involves	involve	VERB
absel-3192	52	14	comparing	compare	VERB
absel-3192	52	15	the	the	DET
absel-3192	52	16	expected	expect	VERB
absel-3192	52	17	result	result	NOUN
absel-3192	52	18	for	for	ADP
absel-3192	52	19	a	a	DET
absel-3192	52	20	given	give	VERB
absel-3192	52	21	set	set	NOUN
absel-3192	52	22	of	of	ADP
absel-3192	52	23	inputs	input	NOUN
absel-3192	52	24	to	to	ADP
absel-3192	52	25	the	the	DET
absel-3192	52	26	output	output	NOUN
absel-3192	52	27	of	of	ADP
absel-3192	52	28	the	the	DET
absel-3192	52	29	network	network	NOUN
absel-3192	52	30	(	(	PUNCT
absel-3192	52	31	the	the	DET
absel-3192	52	32	activation	activation	NOUN
absel-3192	52	33	threshold	threshold	NOUN
absel-3192	52	34	)	)	PUNCT
absel-3192	52	35	during	during	ADP
absel-3192	52	36	a	a	DET
absel-3192	52	37	training	training	NOUN
absel-3192	52	38	run	run	NOUN
absel-3192	52	39	,	,	PUNCT
absel-3192	52	40	and	and	CCONJ
absel-3192	52	41	feeding	feed	VERB
absel-3192	52	42	that	that	DET
absel-3192	52	43	difference	difference	NOUN
absel-3192	52	44	back	back	ADV
absel-3192	52	45	through	through	ADP
absel-3192	52	46	the	the	DET
absel-3192	52	47	network	network	NOUN
absel-3192	52	48	to	to	PART
absel-3192	52	49	adjust	adjust	VERB
absel-3192	52	50	the	the	DET
absel-3192	52	51	weights	weight	NOUN
absel-3192	52	52	.	.	PUNCT
absel-3192	53	1	the	the	DET
absel-3192	53	2	weights	weight	NOUN
absel-3192	53	3	are	be	AUX
absel-3192	53	4	selected	select	VERB
absel-3192	53	5	in	in	ADP
absel-3192	53	6	the	the	DET
absel-3192	53	7	neural	neural	ADJ
absel-3192	53	8	network	network	NOUN
absel-3192	53	9	framework	framework	NOUN
absel-3192	53	10	using	use	VERB
absel-3192	53	11	a	a	DET
absel-3192	53	12	“	"	PUNCT
absel-3192	53	13	learning	learn	VERB
absel-3192	53	14	algorithm	algorithm	NOUN
absel-3192	53	15	”	"	PUNCT
absel-3192	53	16	that	that	PRON
absel-3192	53	17	minimizes	minimize	VERB
absel-3192	53	18	a	a	DET
absel-3192	53	19	“	"	PUNCT
absel-3192	53	20	cost	cost	NOUN
absel-3192	53	21	function	function	NOUN
absel-3192	53	22	”	"	PUNCT
absel-3192	53	23	such	such	ADJ
absel-3192	53	24	as	as	ADP
absel-3192	53	25	mean	mean	NOUN
absel-3192	53	26	squared	square	VERB
absel-3192	53	27	error	error	NOUN
absel-3192	53	28	(	(	PUNCT
absel-3192	53	29	mse	mse	NOUN
absel-3192	53	30	)	)	PUNCT
absel-3192	53	31	.	.	PUNCT
absel-3192	54	1	as	as	SCONJ
absel-3192	54	2	mentioned	mention	VERB
absel-3192	54	3	above	above	ADV
absel-3192	54	4	,	,	PUNCT
absel-3192	54	5	a	a	DET
absel-3192	54	6	deep	deep	ADJ
absel-3192	54	7	neural	neural	ADJ
absel-3192	54	8	network	network	NOUN
absel-3192	54	9	(	(	PUNCT
absel-3192	54	10	dnn	dnn	PROPN
absel-3192	54	11	)	)	PUNCT
absel-3192	54	12	is	be	AUX
absel-3192	54	13	an	an	DET
absel-3192	54	14	artificial	artificial	ADJ
absel-3192	54	15	neural	neural	ADJ
absel-3192	54	16	network	network	NOUN
absel-3192	54	17	with	with	ADP
absel-3192	54	18	multiple	multiple	ADJ
absel-3192	54	19	hidden	hide	VERB
absel-3192	54	20	layers	layer	NOUN
absel-3192	54	21	of	of	ADP
absel-3192	54	22	units	unit	NOUN
absel-3192	54	23	between	between	ADP
absel-3192	54	24	the	the	DET
absel-3192	54	25	input	input	NOUN
absel-3192	54	26	and	and	CCONJ
absel-3192	54	27	output	output	NOUN
absel-3192	54	28	layers	layer	NOUN
absel-3192	54	29	.	.	PUNCT
absel-3192	55	1	the	the	DET
absel-3192	55	2	neural	neural	ADJ
absel-3192	55	3	network	network	NOUN
absel-3192	55	4	-	-	PUNCT
absel-3192	55	5	based	base	VERB
absel-3192	55	6	deep	deep	ADJ
absel-3192	55	7	learning	learning	NOUN
absel-3192	55	8	models	model	NOUN
absel-3192	55	9	,	,	PUNCT
absel-3192	55	10	by	by	ADP
absel-3192	55	11	default	default	NOUN
absel-3192	55	12	,	,	PUNCT
absel-3192	55	13	contain	contain	VERB
absel-3192	55	14	a	a	DET
absel-3192	55	15	great	great	ADJ
absel-3192	55	16	number	number	NOUN
absel-3192	55	17	of	of	ADP
absel-3192	55	18	layers	layer	NOUN
absel-3192	55	19	,	,	PUNCT
absel-3192	55	20	since	since	SCONJ
absel-3192	55	21	they	they	PRON
absel-3192	55	22	rely	rely	VERB
absel-3192	55	23	more	more	ADV
absel-3192	55	24	on	on	ADP
absel-3192	55	25	optimal	optimal	ADJ
absel-3192	55	26	model	model	NOUN
absel-3192	55	27	selection	selection	NOUN
absel-3192	55	28	and	and	CCONJ
absel-3192	55	29	optimization	optimization	NOUN
absel-3192	55	30	through	through	ADP
absel-3192	55	31	model	model	NOUN
absel-3192	55	32	tuning	tuning	NOUN
absel-3192	55	33	.	.	PUNCT
absel-3192	56	1	anns	anns	PROPN
absel-3192	56	2	and	and	CCONJ
absel-3192	56	3	the	the	DET
absel-3192	56	4	deep	deep	ADJ
absel-3192	56	5	learning	learning	NOUN
absel-3192	56	6	techniques	technique	NOUN
absel-3192	56	7	are	be	AUX
absel-3192	56	8	considered	consider	VERB
absel-3192	56	9	as	as	ADP
absel-3192	56	10	some	some	PRON
absel-3192	56	11	of	of	ADP
absel-3192	56	12	the	the	DET
absel-3192	56	13	most	most	ADV
absel-3192	56	14	capable	capable	ADJ
absel-3192	56	15	tools	tool	NOUN
absel-3192	56	16	for	for	ADP
absel-3192	56	17	solving	solve	VERB
absel-3192	56	18	very	very	ADV
absel-3192	56	19	complex	complex	ADJ
absel-3192	56	20	problems	problem	NOUN
absel-3192	56	21	.	.	PUNCT
absel-3192	57	1	they	they	PRON
absel-3192	57	2	are	be	AUX
absel-3192	57	3	data	data	NOUN
absel-3192	57	4	-	-	PUNCT
absel-3192	57	5	driven	drive	VERB
absel-3192	57	6	and	and	CCONJ
absel-3192	57	7	self	self	NOUN
absel-3192	57	8	-	-	PUNCT
absel-3192	57	9	adaptive	adaptive	ADJ
absel-3192	57	10	in	in	ADP
absel-3192	57	11	nature	nature	NOUN
absel-3192	57	12	,	,	PUNCT
absel-3192	57	13	i.e.	i.e.	X
absel-3192	57	14	there	there	PRON
absel-3192	57	15	is	be	VERB
absel-3192	57	16	no	no	DET
absel-3192	57	17	need	need	NOUN
absel-3192	57	18	to	to	PART
absel-3192	57	19	specify	specify	VERB
absel-3192	57	20	a	a	DET
absel-3192	57	21	particular	particular	ADJ
absel-3192	57	22	model	model	NOUN
absel-3192	57	23	form	form	NOUN
absel-3192	57	24	or	or	CCONJ
absel-3192	57	25	to	to	PART
absel-3192	57	26	make	make	VERB
absel-3192	57	27	any	any	DET
absel-3192	57	28	a	a	DET
absel-3192	57	29	priori	priori	ADJ
absel-3192	57	30	assumption	assumption	NOUN
absel-3192	57	31	about	about	ADP
absel-3192	57	32	the	the	DET
absel-3192	57	33	statistical	statistical	ADJ
absel-3192	57	34	distribution	distribution	NOUN
absel-3192	57	35	of	of	ADP
absel-3192	57	36	the	the	DET
absel-3192	57	37	data	datum	NOUN
absel-3192	57	38	.	.	PUNCT
absel-3192	58	1	perhaps	perhaps	ADV
absel-3192	58	2	their	their	PRON
absel-3192	58	3	greatest	great	ADJ
absel-3192	58	4	advantage	advantage	NOUN
absel-3192	58	5	is	be	AUX
absel-3192	58	6	the	the	DET
absel-3192	58	7	ability	ability	NOUN
absel-3192	58	8	to	to	PART
absel-3192	58	9	be	be	AUX
absel-3192	58	10	used	use	VERB
absel-3192	58	11	as	as	ADP
absel-3192	58	12	an	an	DET
absel-3192	58	13	arbitrary	arbitrary	ADJ
absel-3192	58	14	function	function	NOUN
absel-3192	58	15	approximation	approximation	NOUN
absel-3192	58	16	mechanism	mechanism	NOUN
absel-3192	58	17	that	that	PRON
absel-3192	58	18	“	"	PUNCT
absel-3192	58	19	learns	learn	VERB
absel-3192	58	20	”	"	PUNCT
absel-3192	58	21	from	from	ADP
absel-3192	58	22	observed	observed	ADJ
absel-3192	58	23	data	datum	NOUN
absel-3192	58	24	.	.	PUNCT
absel-3192	59	1	according	accord	VERB
absel-3192	59	2	to	to	ADP
absel-3192	59	3	hornik	hornik	PROPN
absel-3192	59	4	et	et	PROPN
absel-3192	59	5	al	al	PROPN
absel-3192	59	6	.	.	PROPN
absel-3192	59	7	(	(	PUNCT
absel-3192	59	8	1989	1989	NUM
absel-3192	59	9	)	)	PUNCT
absel-3192	59	10	anns	ann	NOUN
absel-3192	59	11	are	be	AUX
absel-3192	59	12	universal	universal	ADJ
absel-3192	59	13	functional	functional	ADJ
absel-3192	59	14	approximators	approximator	NOUN
absel-3192	59	15	and	and	CCONJ
absel-3192	59	16	can	can	AUX
absel-3192	59	17	deal	deal	VERB
absel-3192	59	18	with	with	ADP
absel-3192	59	19	situations	situation	NOUN
absel-3192	59	20	where	where	SCONJ
absel-3192	59	21	the	the	DET
absel-3192	59	22	input	input	NOUN
absel-3192	59	23	data	datum	NOUN
absel-3192	59	24	are	be	AUX
absel-3192	59	25	erroneous	erroneous	ADJ
absel-3192	59	26	,	,	PUNCT
absel-3192	59	27	incomplete	incomplete	ADJ
absel-3192	59	28	,	,	PUNCT
absel-3192	59	29	or	or	CCONJ
absel-3192	59	30	fuzzy	fuzzy	ADJ
absel-3192	59	31	.	.	PUNCT
absel-3192	60	1	it	it	PRON
absel-3192	60	2	is	be	AUX
absel-3192	60	3	worth	worth	ADJ
absel-3192	60	4	pointing	point	VERB
absel-3192	60	5	out	out	ADP
absel-3192	60	6	,	,	PUNCT
absel-3192	60	7	however	however	ADV
absel-3192	60	8	,	,	PUNCT
absel-3192	60	9	that	that	PRON
absel-3192	60	10	to	to	PART
absel-3192	60	11	have	have	AUX
absel-3192	60	12	an	an	DET
absel-3192	60	13	extremely	extremely	ADV
absel-3192	60	14	robust	robust	ADJ
absel-3192	60	15	ann	ann	NOUN
absel-3192	60	16	(	(	PUNCT
absel-3192	60	17	dnn	dnn	PROPN
absel-3192	60	18	or	or	CCONJ
absel-3192	60	19	other	other	ADJ
absel-3192	60	20	type	type	NOUN
absel-3192	60	21	ann	ann	PROPN
absel-3192	60	22	)	)	PUNCT
absel-3192	60	23	the	the	DET
absel-3192	60	24	model	model	NOUN
absel-3192	60	25	,	,	PUNCT
absel-3192	60	26	cost	cost	NOUN
absel-3192	60	27	function	function	NOUN
absel-3192	60	28	,	,	PUNCT
absel-3192	60	29	and	and	CCONJ
absel-3192	60	30	learning	learn	VERB
absel-3192	60	31	algorithm	algorithm	NOUN
absel-3192	60	32	must	must	AUX
absel-3192	60	33	be	be	AUX
absel-3192	60	34	appropriately	appropriately	ADV
absel-3192	60	35	selected	select	VERB
absel-3192	60	36	.	.	PUNCT
absel-3192	61	1	like	like	ADP
absel-3192	61	2	typical	typical	ADJ
absel-3192	61	3	anns	ann	NOUN
absel-3192	61	4	,	,	PUNCT
absel-3192	61	5	many	many	ADJ
absel-3192	61	6	issues	issue	NOUN
absel-3192	61	7	can	can	AUX
absel-3192	61	8	arise	arise	VERB
absel-3192	61	9	with	with	ADP
absel-3192	61	10	dnns	dnn	NOUN
absel-3192	61	11	if	if	SCONJ
absel-3192	61	12	they	they	PRON
absel-3192	61	13	are	be	AUX
absel-3192	61	14	naively	naively	ADV
absel-3192	61	15	trained	train	VERB
absel-3192	61	16	.	.	PUNCT
absel-3192	62	1	two	two	NUM
absel-3192	62	2	common	common	ADJ
absel-3192	62	3	issues	issue	NOUN
absel-3192	62	4	are	be	AUX
absel-3192	62	5	overfitting	overfitte	VERB
absel-3192	62	6	and	and	CCONJ
absel-3192	62	7	computation	computation	NOUN
absel-3192	62	8	time	time	NOUN
absel-3192	62	9	,	,	PUNCT
absel-3192	62	10	due	due	ADP
absel-3192	62	11	to	to	ADP
absel-3192	62	12	increased	increase	VERB
absel-3192	62	13	model	model	NOUN
absel-3192	62	14	and	and	CCONJ
absel-3192	62	15	algorithmic	algorithmic	ADJ
absel-3192	62	16	complexity	complexity	NOUN
absel-3192	62	17	,	,	PUNCT
absel-3192	62	18	which	which	PRON
absel-3192	62	19	results	result	VERB
absel-3192	62	20	in	in	ADP
absel-3192	62	21	very	very	ADV
absel-3192	62	22	significant	significant	ADJ
absel-3192	62	23	computational	computational	ADJ
absel-3192	62	24	resource	resource	NOUN
absel-3192	62	25	and	and	CCONJ
absel-3192	62	26	time	time	NOUN
absel-3192	62	27	requirements	requirement	NOUN
absel-3192	62	28	.	.	PUNCT
absel-3192	63	1	other	other	ADJ
absel-3192	63	2	important	important	ADJ
absel-3192	63	3	questions	question	NOUN
absel-3192	63	4	should	should	AUX
absel-3192	63	5	be	be	AUX
absel-3192	63	6	considered	consider	VERB
absel-3192	63	7	as	as	ADV
absel-3192	63	8	well	well	ADV
absel-3192	63	9	,	,	PUNCT
absel-3192	63	10	such	such	ADJ
absel-3192	63	11	as	as	ADP
absel-3192	63	12	“	"	PUNCT
absel-3192	63	13	how	how	SCONJ
absel-3192	63	14	can	can	AUX
absel-3192	63	15	secondary	secondary	ADJ
absel-3192	63	16	data	data	NOUN
absel-3192	63	17	series	series	NOUN
absel-3192	63	18	be	be	AUX
absel-3192	63	19	inferred	infer	VERB
absel-3192	63	20	for	for	ADP
absel-3192	63	21	the	the	DET
absel-3192	63	22	network	network	NOUN
absel-3192	63	23	generating	generating	NOUN
absel-3192	63	24	process	process	NOUN
absel-3192	63	25	”	"	PUNCT
absel-3192	63	26	,	,	PUNCT
absel-3192	63	27	or	or	CCONJ
absel-3192	63	28	“	"	PUNCT
absel-3192	63	29	how	how	SCONJ
absel-3192	63	30	many	many	ADJ
absel-3192	63	31	input	input	NOUN
absel-3192	63	32	nodes	node	NOUN
absel-3192	63	33	for	for	ADP
absel-3192	63	34	the	the	DET
absel-3192	63	35	ann	ann	PROPN
absel-3192	63	36	are	be	AUX
absel-3192	63	37	appropriate	appropriate	ADJ
absel-3192	63	38	(	(	PUNCT
absel-3192	63	39	i.e.	i.e.	X
absel-3192	63	40	what	what	PRON
absel-3192	63	41	is	be	AUX
absel-3192	63	42	the	the	DET
absel-3192	63	43	order	order	NOUN
absel-3192	63	44	of	of	ADP
absel-3192	63	45	the	the	DET
absel-3192	63	46	model	model	NOUN
absel-3192	63	47	)	)	PUNCT
absel-3192	63	48	”	"	PUNCT
absel-3192	63	49	.	.	PUNCT
absel-3192	64	1	in	in	ADP
absel-3192	64	2	addition	addition	NOUN
absel-3192	64	3	,	,	PUNCT
absel-3192	64	4	concerning	concern	VERB
absel-3192	64	5	the	the	DET
absel-3192	64	6	anns	anns	ADJ
absel-3192	64	7	architecture	architecture	NOUN
absel-3192	64	8	,	,	PUNCT
absel-3192	64	9	other	other	ADJ
absel-3192	64	10	questions	question	NOUN
absel-3192	64	11	should	should	AUX
absel-3192	64	12	be	be	AUX
absel-3192	64	13	addressed	address	VERB
absel-3192	64	14	such	such	ADJ
absel-3192	64	15	as	as	ADP
absel-3192	64	16	“	"	PUNCT
absel-3192	64	17	how	how	SCONJ
absel-3192	64	18	many	many	ADJ
absel-3192	64	19	hidden	hide	VERB
absel-3192	64	20	nodes	node	NOUN
absel-3192	64	21	are	be	AUX
absel-3192	64	22	appropriate	appropriate	ADJ
absel-3192	64	23	”	"	PUNCT
absel-3192	64	24	or	or	CCONJ
absel-3192	64	25	“	"	PUNCT
absel-3192	64	26	which	which	PRON
absel-3192	64	27	is	be	AUX
absel-3192	64	28	the	the	DET
absel-3192	64	29	best	good	ADJ
absel-3192	64	30	activation	activation	NOUN
absel-3192	64	31	function	function	NOUN
absel-3192	64	32	in	in	ADP
absel-3192	64	33	any	any	DET
absel-3192	64	34	given	give	VERB
absel-3192	64	35	instance	instance	NOUN
absel-3192	64	36	?	?	PUNCT
absel-3192	64	37	”	"	PUNCT
absel-3192	64	38	statistical	statistical	ADJ
absel-3192	64	39	learning	learning	NOUN
absel-3192	64	40	networks	network	NOUN
absel-3192	64	41	and	and	CCONJ
absel-3192	64	42	self	self	NOUN
absel-3192	64	43	-	-	PUNCT
absel-3192	64	44	organizing	organize	VERB
absel-3192	64	45	data	datum	NOUN
absel-3192	64	46	mining	mining	NOUN
absel-3192	64	47	statistical	statistical	ADJ
absel-3192	64	48	learning	learning	NOUN
absel-3192	64	49	theory	theory	NOUN
absel-3192	64	50	deals	deal	VERB
absel-3192	64	51	with	with	ADP
absel-3192	64	52	the	the	DET
absel-3192	64	53	problem	problem	NOUN
absel-3192	64	54	of	of	ADP
absel-3192	64	55	finding	find	VERB
absel-3192	64	56	a	a	DET
absel-3192	64	57	predictive	predictive	ADJ
absel-3192	64	58	function	function	NOUN
absel-3192	64	59	based	base	VERB
absel-3192	64	60	on	on	ADP
absel-3192	64	61	data	datum	NOUN
absel-3192	64	62	.	.	PUNCT
absel-3192	65	1	in	in	ADP
absel-3192	65	2	general	general	ADJ
absel-3192	65	3	,	,	PUNCT
absel-3192	65	4	it	it	PRON
absel-3192	65	5	is	be	AUX
absel-3192	65	6	a	a	DET
absel-3192	65	7	framework	framework	NOUN
absel-3192	65	8	for	for	ADP
absel-3192	65	9	machine	machine	NOUN
absel-3192	65	10	learning	learning	NOUN
absel-3192	65	11	drawing	draw	VERB
absel-3192	65	12	from	from	ADP
absel-3192	65	13	the	the	DET
absel-3192	65	14	fields	field	NOUN
absel-3192	65	15	of	of	ADP
absel-3192	65	16	statistics	statistic	NOUN
absel-3192	65	17	and	and	CCONJ
absel-3192	65	18	functional	functional	ADJ
absel-3192	65	19	analysis	analysis	NOUN
absel-3192	65	20	(	(	PUNCT
absel-3192	65	21	hastie	hastie	PROPN
absel-3192	65	22	et	et	PROPN
absel-3192	65	23	al	al	PROPN
absel-3192	65	24	.	.	PROPN
absel-3192	65	25	2017	2017	NUM
absel-3192	65	26	,	,	PUNCT
absel-3192	65	27	mohri	mohri	NOUN
absel-3192	65	28	et	et	PROPN
absel-3192	65	29	al	al	PROPN
absel-3192	65	30	.	.	PROPN
absel-3192	65	31	2012	2012	NUM
absel-3192	65	32	)	)	PUNCT
absel-3192	65	33	.	.	PUNCT
absel-3192	66	1	one	one	NUM
absel-3192	66	2	of	of	ADP
absel-3192	66	3	the	the	DET
absel-3192	66	4	most	most	ADV
absel-3192	66	5	important	important	ADJ
absel-3192	66	6	group	group	NOUN
absel-3192	66	7	of	of	ADP
absel-3192	66	8	techniques	technique	NOUN
absel-3192	66	9	in	in	ADP
absel-3192	66	10	statistical	statistical	ADJ
absel-3192	66	11	learning	learning	NOUN
absel-3192	66	12	networks	network	NOUN
absel-3192	66	13	(	(	PUNCT
absel-3192	66	14	slns	slns	NOUN
absel-3192	66	15	)	)	PUNCT
absel-3192	66	16	is	be	AUX
absel-3192	66	17	self	self	NOUN
absel-3192	66	18	-	-	PUNCT
absel-3192	66	19	organizing	organize	VERB
absel-3192	66	20	data	datum	NOUN
absel-3192	66	21	mining	mining	NOUN
absel-3192	66	22	(	(	PUNCT
absel-3192	66	23	müller	müller	NOUN
absel-3192	66	24	and	and	CCONJ
absel-3192	66	25	lemke	lemke	PROPN
absel-3192	66	26	,	,	PUNCT
absel-3192	66	27	2003	2003	NUM
absel-3192	66	28	)	)	PUNCT
absel-3192	66	29	.	.	PUNCT
absel-3192	67	1	proven	prove	VERB
absel-3192	67	2	to	to	PART
absel-3192	67	3	be	be	AUX
absel-3192	67	4	one	one	NUM
absel-3192	67	5	of	of	ADP
absel-3192	67	6	the	the	DET
absel-3192	67	7	most	most	ADV
absel-3192	67	8	successful	successful	ADJ
absel-3192	67	9	methods	method	NOUN
absel-3192	67	10	in	in	ADP
absel-3192	67	11	slns	slns	NOUN
absel-3192	67	12	is	be	AUX
absel-3192	67	13	the	the	DET
absel-3192	67	14	group	group	NOUN
absel-3192	67	15	method	method	NOUN
absel-3192	67	16	of	of	ADP
absel-3192	67	17	data	data	NOUN
absel-3192	67	18	handling	handling	NOUN
absel-3192	67	19	(	(	PUNCT
absel-3192	67	20	gmdh	gmdh	PROPN
absel-3192	67	21	)	)	PUNCT
absel-3192	67	22	.	.	PUNCT
absel-3192	68	1	gmdh	gmdh	PROPN
absel-3192	68	2	(	(	PUNCT
absel-3192	68	3	madala	madala	PROPN
absel-3192	68	4	and	and	CCONJ
absel-3192	68	5	ivakhnenko	ivakhnenko	NOUN
absel-3192	68	6	,	,	PUNCT
absel-3192	68	7	1994	1994	NUM
absel-3192	68	8	)	)	PUNCT
absel-3192	68	9	is	be	AUX
absel-3192	68	10	an	an	DET
absel-3192	68	11	inductive	inductive	ADJ
absel-3192	68	12	approach	approach	NOUN
absel-3192	68	13	to	to	ADP
absel-3192	68	14	model	model	NOUN
absel-3192	68	15	building	building	NOUN
absel-3192	68	16	based	base	VERB
absel-3192	68	17	on	on	ADP
absel-3192	68	18	self	self	NOUN
absel-3192	68	19	-	-	PUNCT
absel-3192	68	20	organization	organization	NOUN
absel-3192	68	21	principles	principle	NOUN
absel-3192	68	22	.	.	PUNCT
absel-3192	69	1	it	it	PRON
absel-3192	69	2	is	be	AUX
absel-3192	69	3	also	also	ADV
absel-3192	69	4	referred	refer	VERB
absel-3192	69	5	to	to	ADP
absel-3192	69	6	as	as	ADP
absel-3192	69	7	“	"	PUNCT
absel-3192	69	8	polynomial	polynomial	ADJ
absel-3192	69	9	neural	neural	ADJ
absel-3192	69	10	networks	network	NOUN
absel-3192	69	11	”	"	PUNCT
absel-3192	69	12	or	or	CCONJ
absel-3192	69	13	“	"	PUNCT
absel-3192	69	14	statistical	statistical	ADJ
absel-3192	69	15	learning	learning	NOUN
absel-3192	69	16	networks	network	NOUN
absel-3192	69	17	”	"	PUNCT
absel-3192	69	18	(	(	PUNCT
absel-3192	69	19	see	see	VERB
absel-3192	69	20	www.gmdh.net	www.gmdh.net	NOUN
absel-3192	69	21	)	)	PUNCT
absel-3192	69	22	.	.	PUNCT
absel-3192	70	1	in	in	ADP
absel-3192	70	2	gmdh	gmdh	ADJ
absel-3192	70	3	algorithms	algorithm	NOUN
absel-3192	70	4	,	,	PUNCT
absel-3192	70	5	models	model	NOUN
absel-3192	70	6	are	be	AUX
absel-3192	70	7	generated	generate	VERB
absel-3192	70	8	adaptively	adaptively	ADV
absel-3192	70	9	from	from	ADP
absel-3192	70	10	data	datum	NOUN
absel-3192	70	11	in	in	ADP
absel-3192	70	12	the	the	DET
absel-3192	70	13	form	form	NOUN
absel-3192	70	14	of	of	ADP
absel-3192	70	15	an	an	DET
absel-3192	70	16	ann	ann	NOUN
absel-3192	70	17	of	of	ADP
absel-3192	70	18	active	active	ADJ
absel-3192	70	19	neurons	neuron	NOUN
absel-3192	70	20	in	in	ADP
absel-3192	70	21	a	a	DET
absel-3192	70	22	repetitive	repetitive	ADJ
absel-3192	70	23	generation	generation	NOUN
absel-3192	70	24	of	of	ADP
absel-3192	70	25	populations	population	NOUN
absel-3192	70	26	of	of	ADP
absel-3192	70	27	competing	compete	VERB
absel-3192	70	28	models	model	NOUN
absel-3192	70	29	of	of	ADP
absel-3192	70	30	growing	grow	VERB
absel-3192	70	31	complexity	complexity	NOUN
absel-3192	70	32	,	,	PUNCT
absel-3192	70	33	corresponding	correspond	VERB
absel-3192	70	34	cross	cross	NOUN
absel-3192	70	35	-	-	NOUN
absel-3192	70	36	validation	validation	ADJ
absel-3192	70	37	,	,	PUNCT
absel-3192	70	38	and	and	CCONJ
absel-3192	70	39	model	model	NOUN
absel-3192	70	40	selection	selection	NOUN
absel-3192	70	41	until	until	SCONJ
absel-3192	70	42	an	an	DET
absel-3192	70	43	optimal	optimal	ADJ
absel-3192	70	44	complex	complex	ADJ
absel-3192	70	45	model	model	NOUN
absel-3192	70	46	is	be	AUX
absel-3192	70	47	finalized	finalize	VERB
absel-3192	70	48	(	(	PUNCT
absel-3192	70	49	exhibit	exhibit	NOUN
absel-3192	70	50	3	3	NUM
absel-3192	70	51	)	)	PUNCT
absel-3192	70	52	.	.	PUNCT
absel-3192	71	1	exhibit	exhibit	VERB
absel-3192	71	2	3	3	NUM
absel-3192	71	3	general	general	ADJ
absel-3192	71	4	scheme	scheme	NOUN
absel-3192	71	5	of	of	ADP
absel-3192	71	6	gmdh	gmdh	ADJ
absel-3192	71	7	self	self	NOUN
absel-3192	71	8	-	-	PUNCT
absel-3192	71	9	organizing	organize	VERB
absel-3192	71	10	modeling	modeling	NOUN
absel-3192	71	11	algorithm	algorithm	NOUN
absel-3192	71	12	(	(	PUNCT
absel-3192	71	13	source	source	NOUN
absel-3192	71	14	:	:	PUNCT
absel-3192	71	15	madala	madala	PROPN
absel-3192	71	16	&	&	CCONJ
absel-3192	71	17	ivakhnenko	ivakhnenko	PROPN
absel-3192	71	18	,	,	PUNCT
absel-3192	71	19	1994	1994	NUM
absel-3192	71	20	,	,	PUNCT
absel-3192	71	21	p.	p.	NOUN
absel-3192	71	22	8)	8)	NUM
absel-3192	71	23	page	page	NOUN
absel-3192	71	24	298	298	NUM
absel-3192	71	25	developments	development	NOUN
absel-3192	71	26	in	in	ADP
absel-3192	71	27	business	business	NOUN
absel-3192	71	28	simulation	simulation	NOUN
absel-3192	71	29	and	and	CCONJ
absel-3192	71	30	experiential	experiential	ADJ
absel-3192	71	31	learning	learning	NOUN
absel-3192	71	32	,	,	PUNCT
absel-3192	71	33	volume	volume	NOUN
absel-3192	71	34	45	45	NUM
absel-3192	71	35	,	,	PUNCT
absel-3192	71	36	2018	2018	NUM
absel-3192	71	37	gmdh	gmdh	ADJ
absel-3192	71	38	algorithms	algorithm	NOUN
absel-3192	71	39	address	address	VERB
absel-3192	71	40	successfully	successfully	ADV
absel-3192	71	41	the	the	DET
absel-3192	71	42	ann	ann	PROPN
absel-3192	71	43	problems	problem	NOUN
absel-3192	71	44	when	when	SCONJ
absel-3192	71	45	the	the	DET
absel-3192	71	46	user	user	NOUN
absel-3192	71	47	estimates	estimate	VERB
absel-3192	71	48	ann	ann	PROPN
absel-3192	71	49	structure	structure	NOUN
absel-3192	71	50	by	by	ADP
absel-3192	71	51	choosing	choose	VERB
absel-3192	71	52	the	the	DET
absel-3192	71	53	number	number	NOUN
absel-3192	71	54	of	of	ADP
absel-3192	71	55	layers	layer	NOUN
absel-3192	71	56	and	and	CCONJ
absel-3192	71	57	the	the	DET
absel-3192	71	58	number	number	NOUN
absel-3192	71	59	and	and	CCONJ
absel-3192	71	60	transfer	transfer	NOUN
absel-3192	71	61	functions	function	NOUN
absel-3192	71	62	of	of	ADP
absel-3192	71	63	nodes	node	NOUN
absel-3192	71	64	,	,	PUNCT
absel-3192	71	65	which	which	PRON
absel-3192	71	66	requires	require	VERB
absel-3192	71	67	not	not	PART
absel-3192	71	68	only	only	ADV
absel-3192	71	69	knowledge	knowledge	NOUN
absel-3192	71	70	about	about	ADP
absel-3192	71	71	the	the	DET
absel-3192	71	72	theory	theory	NOUN
absel-3192	71	73	of	of	ADP
absel-3192	71	74	anns	ann	NOUN
absel-3192	71	75	,	,	PUNCT
absel-3192	71	76	but	but	CCONJ
absel-3192	71	77	also	also	ADV
absel-3192	71	78	knowledge	knowledge	NOUN
absel-3192	71	79	of	of	ADP
absel-3192	71	80	the	the	DET
absel-3192	71	81	modeled	model	VERB
absel-3192	71	82	object	object	NOUN
absel-3192	71	83	’s	’s	PART
absel-3192	71	84	nature	nature	NOUN
absel-3192	71	85	.	.	PUNCT
absel-3192	72	1	gmdh	gmdh	PROPN
absel-3192	72	2	algorithms	algorithm	NOUN
absel-3192	72	3	pick	pick	VERB
absel-3192	72	4	out	out	ADP
absel-3192	72	5	knowledge	knowledge	NOUN
absel-3192	72	6	about	about	ADP
absel-3192	72	7	the	the	DET
absel-3192	72	8	object	object	NOUN
absel-3192	72	9	directly	directly	ADV
absel-3192	72	10	from	from	ADP
absel-3192	72	11	data	datum	NOUN
absel-3192	72	12	sampling	sampling	NOUN
absel-3192	72	13	.	.	PUNCT
absel-3192	73	1	gmdh	gmdh	PROPN
absel-3192	73	2	is	be	AUX
absel-3192	73	3	an	an	DET
absel-3192	73	4	inductive	inductive	ADJ
absel-3192	73	5	sorting	sorting	NOUN
absel-3192	73	6	-	-	PUNCT
absel-3192	73	7	out	out	ADP
absel-3192	73	8	method	method	NOUN
absel-3192	73	9	,	,	PUNCT
absel-3192	73	10	which	which	PRON
absel-3192	73	11	has	have	VERB
absel-3192	73	12	advantages	advantage	NOUN
absel-3192	73	13	in	in	ADP
absel-3192	73	14	case	case	NOUN
absel-3192	73	15	of	of	ADP
absel-3192	73	16	rather	rather	ADV
absel-3192	73	17	complex	complex	ADJ
absel-3192	73	18	objects	object	NOUN
absel-3192	73	19	and	and	CCONJ
absel-3192	73	20	when	when	SCONJ
absel-3192	73	21	there	there	PRON
absel-3192	73	22	is	be	VERB
absel-3192	73	23	no	no	DET
absel-3192	73	24	definite	definite	ADJ
absel-3192	73	25	theory	theory	NOUN
absel-3192	73	26	.	.	PUNCT
absel-3192	74	1	the	the	DET
absel-3192	74	2	biggest	big	ADJ
absel-3192	74	3	drawback	drawback	NOUN
absel-3192	74	4	of	of	ADP
absel-3192	74	5	a	a	DET
absel-3192	74	6	typical	typical	ADJ
absel-3192	74	7	ann	ann	PROPN
absel-3192	74	8	in	in	ADP
absel-3192	74	9	a	a	DET
absel-3192	74	10	business	business	NOUN
absel-3192	74	11	decision	decision	NOUN
absel-3192	74	12	support	support	NOUN
absel-3192	74	13	context	context	NOUN
absel-3192	74	14	is	be	AUX
absel-3192	74	15	that	that	SCONJ
absel-3192	74	16	they	they	PRON
absel-3192	74	17	can	can	AUX
absel-3192	74	18	not	not	PART
absel-3192	74	19	explain	explain	VERB
absel-3192	74	20	results	result	NOUN
absel-3192	74	21	.	.	PUNCT
absel-3192	75	1	for	for	ADP
absel-3192	75	2	many	many	ADJ
absel-3192	75	3	users	user	NOUN
absel-3192	75	4	,	,	PUNCT
absel-3192	75	5	understanding	understand	VERB
absel-3192	75	6	what	what	PRON
absel-3192	75	7	is	be	AUX
absel-3192	75	8	going	go	VERB
absel-3192	75	9	on	on	ADP
absel-3192	75	10	is	be	AUX
absel-3192	75	11	often	often	ADV
absel-3192	75	12	as	as	ADP
absel-3192	75	13	important	important	ADJ
absel-3192	75	14	,	,	PUNCT
absel-3192	75	15	if	if	SCONJ
absel-3192	75	16	not	not	PART
absel-3192	75	17	more	more	ADV
absel-3192	75	18	important	important	ADJ
absel-3192	75	19	,	,	PUNCT
absel-3192	75	20	than	than	ADP
absel-3192	75	21	getting	get	VERB
absel-3192	75	22	the	the	DET
absel-3192	75	23	best	good	ADJ
absel-3192	75	24	prediction	prediction	NOUN
absel-3192	75	25	.	.	PUNCT
absel-3192	76	1	in	in	ADP
absel-3192	76	2	situations	situation	NOUN
absel-3192	76	3	where	where	SCONJ
absel-3192	76	4	explaining	explain	VERB
absel-3192	76	5	rules	rule	NOUN
absel-3192	76	6	may	may	AUX
absel-3192	76	7	be	be	AUX
absel-3192	76	8	critical	critical	ADJ
absel-3192	76	9	,	,	PUNCT
absel-3192	76	10	such	such	ADJ
absel-3192	76	11	as	as	ADP
absel-3192	76	12	denying	deny	VERB
absel-3192	76	13	loan	loan	NOUN
absel-3192	76	14	applications	application	NOUN
absel-3192	76	15	,	,	PUNCT
absel-3192	76	16	general	general	ADJ
absel-3192	76	17	anns	ann	NOUN
absel-3192	76	18	are	be	AUX
absel-3192	76	19	not	not	PART
absel-3192	76	20	a	a	DET
absel-3192	76	21	good	good	ADJ
absel-3192	76	22	choice	choice	NOUN
absel-3192	76	23	.	.	PUNCT
absel-3192	77	1	müller	müller	NOUN
absel-3192	77	2	and	and	CCONJ
absel-3192	77	3	lemke	lemke	PROPN
absel-3192	77	4	(	(	PUNCT
absel-3192	77	5	1995	1995	NUM
absel-3192	77	6	)	)	PUNCT
absel-3192	77	7	make	make	VERB
absel-3192	77	8	comparisons	comparison	NOUN
absel-3192	77	9	and	and	CCONJ
absel-3192	77	10	point	point	VERB
absel-3192	77	11	out	out	ADP
absel-3192	77	12	that	that	SCONJ
absel-3192	77	13	in	in	ADP
absel-3192	77	14	distinction	distinction	NOUN
absel-3192	77	15	to	to	ADP
absel-3192	77	16	anns	ann	NOUN
absel-3192	77	17	,	,	PUNCT
absel-3192	77	18	the	the	DET
absel-3192	77	19	results	result	NOUN
absel-3192	77	20	of	of	ADP
absel-3192	77	21	gmdh	gmdh	ADJ
absel-3192	77	22	algorithms	algorithm	NOUN
absel-3192	77	23	are	be	AUX
absel-3192	77	24	explicit	explicit	ADJ
absel-3192	77	25	mathematical	mathematical	ADJ
absel-3192	77	26	models	model	NOUN
absel-3192	77	27	generated	generate	VERB
absel-3192	77	28	in	in	ADP
absel-3192	77	29	a	a	DET
absel-3192	77	30	relatively	relatively	ADV
absel-3192	77	31	short	short	ADJ
absel-3192	77	32	time	time	NOUN
absel-3192	77	33	on	on	ADP
absel-3192	77	34	the	the	DET
absel-3192	77	35	basis	basis	NOUN
absel-3192	77	36	of	of	ADP
absel-3192	77	37	even	even	ADV
absel-3192	77	38	small	small	ADJ
absel-3192	77	39	samples	sample	NOUN
absel-3192	77	40	.	.	PUNCT
absel-3192	78	1	the	the	DET
absel-3192	78	2	well	well	ADV
absel-3192	78	3	-	-	PUNCT
absel-3192	78	4	known	know	VERB
absel-3192	78	5	problems	problem	NOUN
absel-3192	78	6	of	of	ADP
absel-3192	78	7	an	an	DET
absel-3192	78	8	optimal	optimal	ADJ
absel-3192	78	9	(	(	PUNCT
absel-3192	78	10	subjective	subjective	ADJ
absel-3192	78	11	)	)	PUNCT
absel-3192	78	12	choice	choice	NOUN
absel-3192	78	13	of	of	ADP
absel-3192	78	14	the	the	DET
absel-3192	78	15	neural	neural	ADJ
absel-3192	78	16	network	network	NOUN
absel-3192	78	17	architecture	architecture	NOUN
absel-3192	78	18	are	be	AUX
absel-3192	78	19	addressed	address	VERB
absel-3192	78	20	in	in	ADP
absel-3192	78	21	the	the	DET
absel-3192	78	22	gmdh	gmdh	ADJ
absel-3192	78	23	algorithms	algorithm	NOUN
absel-3192	78	24	by	by	ADP
absel-3192	78	25	means	mean	NOUN
absel-3192	78	26	of	of	ADP
absel-3192	78	27	an	an	DET
absel-3192	78	28	adaptive	adaptive	ADJ
absel-3192	78	29	synthesis	synthesis	NOUN
absel-3192	78	30	(	(	PUNCT
absel-3192	78	31	objective	objective	ADJ
absel-3192	78	32	choice	choice	NOUN
absel-3192	78	33	)	)	PUNCT
absel-3192	78	34	of	of	ADP
absel-3192	78	35	the	the	DET
absel-3192	78	36	architecture	architecture	NOUN
absel-3192	78	37	.	.	PUNCT
absel-3192	79	1	gmdh	gmdh	ADJ
absel-3192	79	2	algorithms	algorithm	NOUN
absel-3192	79	3	could	could	AUX
absel-3192	79	4	be	be	AUX
absel-3192	79	5	used	use	VERB
absel-3192	79	6	to	to	PART
absel-3192	79	7	estimate	estimate	VERB
absel-3192	79	8	networks	network	NOUN
absel-3192	79	9	of	of	ADP
absel-3192	79	10	the	the	DET
absel-3192	79	11	right	right	ADJ
absel-3192	79	12	size	size	NOUN
absel-3192	79	13	with	with	ADP
absel-3192	79	14	a	a	DET
absel-3192	79	15	structure	structure	NOUN
absel-3192	79	16	evolved	evolve	VERB
absel-3192	79	17	during	during	ADP
absel-3192	79	18	the	the	DET
absel-3192	79	19	estimation	estimation	NOUN
absel-3192	79	20	process	process	NOUN
absel-3192	79	21	to	to	PART
absel-3192	79	22	provide	provide	VERB
absel-3192	79	23	a	a	DET
absel-3192	79	24	parsimonious	parsimonious	ADJ
absel-3192	79	25	model	model	NOUN
absel-3192	79	26	for	for	ADP
absel-3192	79	27	the	the	DET
absel-3192	79	28	particular	particular	ADJ
absel-3192	79	29	desired	desire	VERB
absel-3192	79	30	function	function	NOUN
absel-3192	79	31	.	.	PUNCT
absel-3192	80	1	there	there	PRON
absel-3192	80	2	are	be	VERB
absel-3192	80	3	many	many	ADJ
absel-3192	80	4	different	different	ADJ
absel-3192	80	5	ways	way	NOUN
absel-3192	80	6	to	to	PART
absel-3192	80	7	select	select	VERB
absel-3192	80	8	the	the	DET
absel-3192	80	9	right	right	ADJ
absel-3192	80	10	order	order	NOUN
absel-3192	80	11	of	of	ADP
absel-3192	80	12	a	a	DET
absel-3192	80	13	gmdh	gmdh	ADJ
absel-3192	80	14	-	-	PUNCT
absel-3192	80	15	type	type	NOUN
absel-3192	80	16	ann	ann	PROPN
absel-3192	80	17	.	.	PUNCT
absel-3192	81	1	the	the	DET
absel-3192	81	2	most	most	ADV
absel-3192	81	3	popular	popular	ADJ
absel-3192	81	4	one	one	NOUN
absel-3192	81	5	is	be	AUX
absel-3192	81	6	called	call	VERB
absel-3192	81	7	multilayered	multilayered	ADJ
absel-3192	81	8	inductive	inductive	ADJ
absel-3192	81	9	procedure	procedure	NOUN
absel-3192	81	10	(	(	PUNCT
absel-3192	81	11	exhibit	exhibit	NOUN
absel-3192	81	12	4	4	NUM
absel-3192	81	13	)	)	PUNCT
absel-3192	81	14	.	.	PUNCT
absel-3192	82	1	it	it	PRON
absel-3192	82	2	is	be	AUX
absel-3192	82	3	equivalent	equivalent	ADJ
absel-3192	82	4	to	to	ADP
absel-3192	82	5	an	an	DET
absel-3192	82	6	ann	ann	NOUN
absel-3192	82	7	with	with	ADP
absel-3192	82	8	polynomial	polynomial	ADJ
absel-3192	82	9	activation	activation	NOUN
absel-3192	82	10	function	function	NOUN
absel-3192	82	11	of	of	ADP
absel-3192	82	12	neurons	neuron	NOUN
absel-3192	82	13	(	(	PUNCT
absel-3192	82	14	polynomial	polynomial	ADJ
absel-3192	82	15	nn	nn	PROPN
absel-3192	82	16	)	)	PUNCT
absel-3192	82	17	.	.	PUNCT
absel-3192	83	1	as	as	SCONJ
absel-3192	83	2	mentioned	mention	VERB
absel-3192	83	3	above	above	ADV
absel-3192	83	4	,	,	PUNCT
absel-3192	83	5	deep	deep	ADJ
absel-3192	83	6	learning	learning	NOUN
absel-3192	83	7	and	and	CCONJ
absel-3192	83	8	neural	neural	ADJ
absel-3192	83	9	network	network	NOUN
absel-3192	83	10	algorithms	algorithm	NOUN
absel-3192	83	11	can	can	AUX
absel-3192	83	12	be	be	AUX
absel-3192	83	13	prone	prone	ADJ
absel-3192	83	14	to	to	ADP
absel-3192	83	15	overfitting	overfitte	VERB
absel-3192	83	16	.	.	PUNCT
absel-3192	84	1	gmdh	gmdh	ADJ
absel-3192	84	2	algorithms	algorithm	NOUN
absel-3192	84	3	address	address	VERB
absel-3192	84	4	the	the	DET
absel-3192	84	5	problem	problem	NOUN
absel-3192	84	6	of	of	ADP
absel-3192	84	7	overfitting	overfitte	VERB
absel-3192	84	8	with	with	ADP
absel-3192	84	9	the	the	DET
absel-3192	84	10	cross	cross	ADJ
absel-3192	84	11	-	-	ADJ
absel-3192	84	12	validation	validation	ADJ
absel-3192	84	13	technique	technique	NOUN
absel-3192	84	14	(	(	PUNCT
absel-3192	84	15	exhibit	exhibit	NOUN
absel-3192	84	16	5	5	NUM
absel-3192	84	17	)	)	PUNCT
absel-3192	84	18	.	.	PUNCT
absel-3192	85	1	following	follow	VERB
absel-3192	85	2	beer	beer	NOUN
absel-3192	85	3	(	(	PUNCT
absel-3192	85	4	1959	1959	NUM
absel-3192	85	5	)	)	PUNCT
absel-3192	85	6	,	,	PUNCT
absel-3192	85	7	only	only	ADV
absel-3192	85	8	the	the	DET
absel-3192	85	9	external	external	ADJ
absel-3192	85	10	criteria	criterion	NOUN
absel-3192	85	11	(	(	PUNCT
absel-3192	85	12	exhibit	exhibit	NOUN
absel-3192	85	13	exhibit	exhibit	VERB
absel-3192	85	14	4	4	NUM
absel-3192	85	15	gmdh	gmdh	ADJ
absel-3192	85	16	iterative	iterative	NOUN
absel-3192	85	17	procedure	procedure	NOUN
absel-3192	85	18	–	–	PUNCT
absel-3192	85	19	a	a	DET
absel-3192	85	20	multilayered	multilayered	ADJ
absel-3192	85	21	active	active	ADJ
absel-3192	85	22	neuron	neuron	NOUN
absel-3192	85	23	neural	neural	ADJ
absel-3192	85	24	network	network	NOUN
absel-3192	85	25	(	(	PUNCT
absel-3192	85	26	source	source	NOUN
absel-3192	85	27	:	:	PUNCT
absel-3192	85	28	madala	madala	PROPN
absel-3192	85	29	&	&	CCONJ
absel-3192	85	30	ivakhnenko	ivakhnenko	PROPN
absel-3192	85	31	,	,	PUNCT
absel-3192	85	32	1994	1994	NUM
absel-3192	85	33	,	,	PUNCT
absel-3192	85	34	p.	p.	NOUN
absel-3192	85	35	32	32	NUM
absel-3192	85	36	)	)	PUNCT
absel-3192	85	37	exhibit	exhibit	VERB
absel-3192	85	38	5	5	NUM
absel-3192	85	39	self	self	NOUN
absel-3192	85	40	-	-	PUNCT
absel-3192	85	41	organizing	organize	VERB
absel-3192	85	42	modeling	modeling	NOUN
absel-3192	85	43	using	use	VERB
absel-3192	85	44	cross	cross	NOUN
absel-3192	85	45	validation	validation	NOUN
absel-3192	85	46	with	with	ADP
absel-3192	85	47	a	a	DET
absel-3192	85	48	priori	priori	ADJ
absel-3192	85	49	information	information	NOUN
absel-3192	85	50	(	(	PUNCT
absel-3192	85	51	source	source	NOUN
absel-3192	85	52	:	:	PUNCT
absel-3192	85	53	motzev	motzev	PROPN
absel-3192	85	54	,	,	PUNCT
absel-3192	85	55	2016	2016	NUM
absel-3192	85	56	,	,	PUNCT
absel-3192	85	57	p.	p.	NOUN
absel-3192	85	58	410	410	NUM
absel-3192	85	59	)	)	PUNCT
absel-3192	85	60	page	page	NOUN
absel-3192	85	61	299	299	NUM
absel-3192	85	62	developments	development	NOUN
absel-3192	85	63	in	in	ADP
absel-3192	85	64	business	business	NOUN
absel-3192	85	65	simulation	simulation	NOUN
absel-3192	85	66	and	and	CCONJ
absel-3192	85	67	experiential	experiential	ADJ
absel-3192	85	68	learning	learning	NOUN
absel-3192	85	69	,	,	PUNCT
absel-3192	85	70	volume	volume	NOUN
absel-3192	85	71	45	45	NUM
absel-3192	85	72	,	,	PUNCT
absel-3192	85	73	2018	2018	NUM
absel-3192	85	74	6	6	NUM
absel-3192	85	75	)	)	PUNCT
absel-3192	85	76	,	,	PUNCT
absel-3192	85	77	calculated	calculate	VERB
absel-3192	85	78	on	on	ADP
absel-3192	85	79	new	new	ADJ
absel-3192	85	80	,	,	PUNCT
absel-3192	85	81	independent	independent	ADJ
absel-3192	85	82	information	information	NOUN
absel-3192	85	83	can	can	AUX
absel-3192	85	84	produce	produce	VERB
absel-3192	85	85	the	the	DET
absel-3192	85	86	minimum	minimum	NOUN
absel-3192	85	87	of	of	ADP
absel-3192	85	88	the	the	DET
absel-3192	85	89	sorting	sorting	NOUN
absel-3192	85	90	-	-	PUNCT
absel-3192	85	91	out	out	ADP
absel-3192	85	92	characteristic	characteristic	ADJ
absel-3192	85	93	(	(	PUNCT
absel-3192	85	94	model	model	NOUN
absel-3192	85	95	error	error	NOUN
absel-3192	85	96	)	)	PUNCT
absel-3192	85	97	.	.	PUNCT
absel-3192	86	1	such	such	ADJ
absel-3192	86	2	algorithms	algorithm	NOUN
absel-3192	86	3	,	,	PUNCT
absel-3192	86	4	combining	combine	VERB
absel-3192	86	5	in	in	ADP
absel-3192	86	6	a	a	DET
absel-3192	86	7	powerful	powerful	ADJ
absel-3192	86	8	way	way	NOUN
absel-3192	86	9	the	the	DET
absel-3192	86	10	best	good	ADJ
absel-3192	86	11	features	feature	NOUN
absel-3192	86	12	of	of	ADP
absel-3192	86	13	anns	ann	NOUN
absel-3192	86	14	and	and	CCONJ
absel-3192	86	15	statistical	statistical	ADJ
absel-3192	86	16	techniques	technique	NOUN
absel-3192	86	17	,	,	PUNCT
absel-3192	86	18	identify	identify	VERB
absel-3192	86	19	the	the	DET
absel-3192	86	20	entire	entire	ADJ
absel-3192	86	21	model	model	NOUN
absel-3192	86	22	structure	structure	NOUN
absel-3192	86	23	in	in	ADP
absel-3192	86	24	the	the	DET
absel-3192	86	25	form	form	NOUN
absel-3192	86	26	of	of	ADP
absel-3192	86	27	a	a	DET
absel-3192	86	28	network	network	NOUN
absel-3192	86	29	of	of	ADP
absel-3192	86	30	polynomial	polynomial	ADJ
absel-3192	86	31	functions	function	NOUN
absel-3192	86	32	,	,	PUNCT
absel-3192	86	33	differential	differential	ADJ
absel-3192	86	34	equations	equation	NOUN
absel-3192	86	35	and	and	CCONJ
absel-3192	86	36	others	other	NOUN
absel-3192	86	37	.	.	PUNCT
absel-3192	87	1	models	model	NOUN
absel-3192	87	2	are	be	AUX
absel-3192	87	3	selected	select	VERB
absel-3192	87	4	automatically	automatically	ADV
absel-3192	87	5	based	base	VERB
absel-3192	87	6	on	on	ADP
absel-3192	87	7	their	their	PRON
absel-3192	87	8	ability	ability	NOUN
absel-3192	87	9	to	to	PART
absel-3192	87	10	solve	solve	VERB
absel-3192	87	11	a	a	DET
absel-3192	87	12	task	task	NOUN
absel-3192	87	13	such	such	ADJ
absel-3192	87	14	as	as	ADP
absel-3192	87	15	approximation	approximation	NOUN
absel-3192	87	16	,	,	PUNCT
absel-3192	87	17	identification	identification	NOUN
absel-3192	87	18	,	,	PUNCT
absel-3192	87	19	prediction	prediction	NOUN
absel-3192	87	20	,	,	PUNCT
absel-3192	87	21	and	and	CCONJ
absel-3192	87	22	classification	classification	NOUN
absel-3192	87	23	.	.	PUNCT
absel-3192	88	1	multy	multy	NOUN
absel-3192	88	2	-	-	PUNCT
absel-3192	88	3	layered	layer	VERB
absel-3192	88	4	networks	network	NOUN
absel-3192	88	5	of	of	ADP
absel-3192	88	6	active	active	ADJ
absel-3192	88	7	neurons	neuron	NOUN
absel-3192	88	8	for	for	ADP
absel-3192	88	9	business	business	NOUN
absel-3192	88	10	simulations	simulation	NOUN
absel-3192	88	11	self	self	NOUN
absel-3192	88	12	-	-	PUNCT
absel-3192	88	13	organizing	organize	VERB
absel-3192	88	14	gmdh	gmdh	ADJ
absel-3192	88	15	algorithms	algorithm	NOUN
absel-3192	88	16	are	be	AUX
absel-3192	88	17	similar	similar	ADJ
absel-3192	88	18	in	in	ADP
absel-3192	88	19	many	many	ADJ
absel-3192	88	20	respects	respect	NOUN
absel-3192	88	21	to	to	ADP
absel-3192	88	22	an	an	DET
absel-3192	88	23	ann	ann	NOUN
absel-3192	88	24	of	of	ADP
absel-3192	88	25	active	active	ADJ
absel-3192	88	26	neurons	neuron	NOUN
absel-3192	88	27	.	.	PUNCT
absel-3192	89	1	the	the	DET
absel-3192	89	2	goal	goal	NOUN
absel-3192	89	3	is	be	AUX
absel-3192	89	4	to	to	PART
absel-3192	89	5	enhance	enhance	VERB
absel-3192	89	6	the	the	DET
absel-3192	89	7	accuracy	accuracy	NOUN
absel-3192	89	8	in	in	ADP
absel-3192	89	9	achieving	achieve	VERB
absel-3192	89	10	the	the	DET
absel-3192	89	11	assigned	assign	VERB
absel-3192	89	12	task	task	NOUN
absel-3192	89	13	through	through	ADP
absel-3192	89	14	a	a	DET
absel-3192	89	15	better	well	ADJ
absel-3192	89	16	use	use	NOUN
absel-3192	89	17	of	of	ADP
absel-3192	89	18	input	input	NOUN
absel-3192	89	19	data	datum	NOUN
absel-3192	89	20	by	by	ADP
absel-3192	89	21	combining	combine	VERB
absel-3192	89	22	many	many	ADJ
absel-3192	89	23	neurons	neuron	NOUN
absel-3192	89	24	into	into	ADP
absel-3192	89	25	a	a	DET
absel-3192	89	26	network	network	NOUN
absel-3192	89	27	.	.	PUNCT
absel-3192	90	1	in	in	ADP
absel-3192	90	2	the	the	DET
absel-3192	90	3	beginning	beginning	NOUN
absel-3192	90	4	,	,	PUNCT
absel-3192	90	5	an	an	DET
absel-3192	90	6	exhaustive	exhaustive	ADJ
absel-3192	90	7	search	search	NOUN
absel-3192	90	8	is	be	AUX
absel-3192	90	9	applied	apply	VERB
absel-3192	90	10	to	to	PART
absel-3192	90	11	determine	determine	VERB
absel-3192	90	12	the	the	DET
absel-3192	90	13	number	number	NOUN
absel-3192	90	14	of	of	ADP
absel-3192	90	15	neuron	neuron	NOUN
absel-3192	90	16	layers	layer	NOUN
absel-3192	90	17	and	and	CCONJ
absel-3192	90	18	the	the	DET
absel-3192	90	19	sets	set	NOUN
absel-3192	90	20	of	of	ADP
absel-3192	90	21	input	input	NOUN
absel-3192	90	22	and	and	CCONJ
absel-3192	90	23	output	output	NOUN
absel-3192	90	24	variables	variable	NOUN
absel-3192	90	25	for	for	ADP
absel-3192	90	26	each	each	DET
absel-3192	90	27	neuron	neuron	NOUN
absel-3192	90	28	.	.	PUNCT
absel-3192	91	1	the	the	DET
absel-3192	91	2	activation	activation	NOUN
absel-3192	91	3	threshold	threshold	NOUN
absel-3192	91	4	is	be	AUX
absel-3192	91	5	the	the	DET
absel-3192	91	6	minimum	minimum	NOUN
absel-3192	91	7	of	of	ADP
absel-3192	91	8	the	the	DET
absel-3192	91	9	cross	cross	ADJ
absel-3192	91	10	-	-	ADJ
absel-3192	91	11	validation	validation	ADJ
absel-3192	91	12	criterion	criterion	NOUN
absel-3192	91	13	(	(	PUNCT
absel-3192	91	14	mean	mean	INTJ
absel-3192	91	15	squared	square	VERB
absel-3192	91	16	error	error	NOUN
absel-3192	91	17	)	)	PUNCT
absel-3192	91	18	,	,	PUNCT
absel-3192	91	19	which	which	PRON
absel-3192	91	20	identifies	identify	VERB
absel-3192	91	21	the	the	DET
absel-3192	91	22	variables	variable	NOUN
absel-3192	91	23	for	for	ADP
absel-3192	91	24	which	which	PRON
absel-3192	91	25	it	it	PRON
absel-3192	91	26	is	be	AUX
absel-3192	91	27	advantageous	advantageous	ADJ
absel-3192	91	28	to	to	PART
absel-3192	91	29	build	build	VERB
absel-3192	91	30	a	a	DET
absel-3192	91	31	neural	neural	ADJ
absel-3192	91	32	network	network	NOUN
absel-3192	91	33	.	.	PUNCT
absel-3192	92	1	active	active	ADJ
absel-3192	92	2	neurons	neuron	NOUN
absel-3192	92	3	are	be	AUX
absel-3192	92	4	able	able	ADJ
absel-3192	92	5	,	,	PUNCT
absel-3192	92	6	during	during	ADP
absel-3192	92	7	the	the	DET
absel-3192	92	8	self	self	NOUN
absel-3192	92	9	-	-	PUNCT
absel-3192	92	10	organizing	organize	VERB
absel-3192	92	11	process	process	NOUN
absel-3192	92	12	,	,	PUNCT
absel-3192	92	13	to	to	PART
absel-3192	92	14	estimate	estimate	VERB
absel-3192	92	15	which	which	DET
absel-3192	92	16	inputs	input	NOUN
absel-3192	92	17	are	be	AUX
absel-3192	92	18	necessary	necessary	ADJ
absel-3192	92	19	to	to	PART
absel-3192	92	20	minimize	minimize	VERB
absel-3192	92	21	the	the	DET
absel-3192	92	22	given	give	VERB
absel-3192	92	23	objective	objective	ADJ
absel-3192	92	24	function	function	NOUN
absel-3192	92	25	of	of	ADP
absel-3192	92	26	the	the	DET
absel-3192	92	27	neuron	neuron	NOUN
absel-3192	92	28	.	.	PUNCT
absel-3192	93	1	the	the	DET
absel-3192	93	2	number	number	NOUN
absel-3192	93	3	of	of	ADP
absel-3192	93	4	hidden	hide	VERB
absel-3192	93	5	neuron	neuron	NOUN
absel-3192	93	6	layers	layer	NOUN
absel-3192	93	7	is	be	AUX
absel-3192	93	8	also	also	ADV
absel-3192	93	9	self	self	NOUN
absel-3192	93	10	-	-	PUNCT
absel-3192	93	11	organized	organize	VERB
absel-3192	93	12	,	,	PUNCT
absel-3192	93	13	i.e.	i.e.	X
absel-3192	93	14	it	it	PRON
absel-3192	93	15	is	be	AUX
absel-3192	93	16	defined	define	VERB
absel-3192	93	17	through	through	ADP
absel-3192	93	18	the	the	DET
absel-3192	93	19	process	process	NOUN
absel-3192	93	20	of	of	ADP
absel-3192	93	21	multi	multi	ADJ
absel-3192	93	22	-	-	ADJ
absel-3192	93	23	stage	stage	NOUN
absel-3192	93	24	selection	selection	NOUN
absel-3192	93	25	procedure	procedure	NOUN
absel-3192	93	26	.	.	PUNCT
absel-3192	94	1	the	the	DET
absel-3192	94	2	multi	multi	ADJ
absel-3192	94	3	-	-	ADJ
absel-3192	94	4	layer	layer	ADJ
absel-3192	94	5	net	net	NOUN
absel-3192	94	6	of	of	ADP
absel-3192	94	7	active	active	ADJ
absel-3192	94	8	neurons	neuron	NOUN
absel-3192	94	9	(	(	PUNCT
absel-3192	94	10	mlnan	mlnan	NOUN
absel-3192	94	11	)	)	PUNCT
absel-3192	94	12	algorithm	algorithm	NOUN
absel-3192	94	13	proposed	propose	VERB
absel-3192	94	14	in	in	ADP
absel-3192	94	15	this	this	DET
absel-3192	94	16	paper	paper	NOUN
absel-3192	94	17	works	work	VERB
absel-3192	94	18	as	as	ADP
absel-3192	94	19	a	a	DET
absel-3192	94	20	net	net	NOUN
absel-3192	94	21	of	of	ADP
absel-3192	94	22	complex	complex	ADJ
absel-3192	94	23	active	active	ADJ
absel-3192	94	24	neurons	neuron	NOUN
absel-3192	94	25	that	that	PRON
absel-3192	94	26	choose	choose	VERB
absel-3192	94	27	the	the	DET
absel-3192	94	28	effective	effective	ADJ
absel-3192	94	29	inputs	input	NOUN
absel-3192	94	30	and	and	CCONJ
absel-3192	94	31	their	their	PRON
absel-3192	94	32	corresponding	corresponding	ADJ
absel-3192	94	33	coefficients	coefficient	NOUN
absel-3192	94	34	in	in	ADP
absel-3192	94	35	a	a	DET
absel-3192	94	36	process	process	NOUN
absel-3192	94	37	of	of	ADP
absel-3192	94	38	highly	highly	ADV
absel-3192	94	39	automated	automate	VERB
absel-3192	94	40	self	self	NOUN
absel-3192	94	41	-	-	PUNCT
absel-3192	94	42	organization	organization	NOUN
absel-3192	94	43	(	(	PUNCT
absel-3192	94	44	motzev	motzev	PROPN
absel-3192	94	45	&	&	CCONJ
absel-3192	94	46	marchev	marchev	PROPN
absel-3192	94	47	,	,	PUNCT
absel-3192	94	48	1988	1988	NUM
absel-3192	94	49	)	)	PUNCT
absel-3192	94	50	.	.	PUNCT
absel-3192	95	1	the	the	DET
absel-3192	95	2	mlnan	mlnan	PROPN
absel-3192	95	3	model	model	NOUN
absel-3192	95	4	with	with	ADP
absel-3192	95	5	multiple	multiple	ADJ
absel-3192	95	6	inputs	input	NOUN
absel-3192	95	7	(	(	PUNCT
absel-3192	95	8	xj	xj	NOUN
absel-3192	95	9	)	)	PUNCT
absel-3192	95	10	and	and	CCONJ
absel-3192	95	11	one	one	NUM
absel-3192	95	12	output	output	NOUN
absel-3192	95	13	(	(	PUNCT
absel-3192	95	14	y	y	NOUN
absel-3192	95	15	)	)	PUNCT
absel-3192	95	16	is	be	AUX
absel-3192	95	17	a	a	DET
absel-3192	95	18	subset	subset	NOUN
absel-3192	95	19	of	of	ADP
absel-3192	95	20	components	component	NOUN
absel-3192	95	21	of	of	ADP
absel-3192	95	22	the	the	DET
absel-3192	95	23	base	base	NOUN
absel-3192	95	24	function	function	NOUN
absel-3192	95	25	(	(	PUNCT
absel-3192	95	26	exhibit	exhibit	NOUN
absel-3192	95	27	7	7	NUM
absel-3192	95	28	):	):	PUNCT
absel-3192	95	29			NOUN
absel-3192	95	30	where	where	SCONJ
absel-3192	95	31	fi	fi	NOUN
absel-3192	95	32	are	be	AUX
absel-3192	95	33	functions	function	NOUN
absel-3192	95	34	dependent	dependent	ADJ
absel-3192	95	35	on	on	ADP
absel-3192	95	36	different	different	ADJ
absel-3192	95	37	sets	set	NOUN
absel-3192	95	38	of	of	ADP
absel-3192	95	39	inputs	input	NOUN
absel-3192	95	40	(	(	PUNCT
absel-3192	95	41	i=1	i=1	X
absel-3192	95	42	,	,	PUNCT
absel-3192	95	43	2	2	NUM
absel-3192	95	44	…	…	PUNCT
absel-3192	95	45	m	m	NOUN
absel-3192	95	46	)	)	PUNCT
absel-3192	95	47	;	;	PUNCT
absel-3192	95	48			PROPN
absel-3192	95	49	xj	xj	PROPN
absel-3192	95	50	(	(	PUNCT
absel-3192	95	51	j=1	j=1	PROPN
absel-3192	95	52	,	,	PUNCT
absel-3192	95	53	2	2	NUM
absel-3192	95	54	…	…	SYM
absel-3192	95	55	n	n	CCONJ
absel-3192	95	56	)	)	PUNCT
absel-3192	95	57	are	be	AUX
absel-3192	95	58	the	the	DET
absel-3192	95	59	inputs	input	NOUN
absel-3192	95	60	at	at	ADP
absel-3192	95	61	the	the	DET
absel-3192	95	62	first	first	ADJ
absel-3192	95	63	layer	layer	NOUN
absel-3192	95	64	(	(	PUNCT
absel-3192	95	65	predictors	predictor	NOUN
absel-3192	95	66	)	)	PUNCT
absel-3192	95	67			PROPN
absel-3192	95	68	a0	a0	PROPN
absel-3192	95	69	is	be	AUX
absel-3192	95	70	the	the	DET
absel-3192	95	71	constant	constant	ADJ
absel-3192	95	72	term	term	NOUN
absel-3192	95	73	;	;	PUNCT
absel-3192	95	74			NOUN
absel-3192	95	75	ai	ai	VERB
absel-3192	95	76	are	be	AUX
absel-3192	95	77	the	the	DET
absel-3192	95	78	unknown	unknown	ADJ
absel-3192	95	79	coefficients	coefficient	NOUN
absel-3192	95	80	and	and	CCONJ
absel-3192	95	81			NOUN
absel-3192	95	82	m	m	NOUN
absel-3192	95	83	is	be	AUX
absel-3192	95	84	the	the	DET
absel-3192	95	85	number	number	NOUN
absel-3192	95	86	of	of	ADP
absel-3192	95	87	the	the	DET
absel-3192	95	88	base	base	NOUN
absel-3192	95	89	function	function	NOUN
absel-3192	95	90	components	component	NOUN
absel-3192	95	91	.	.	PUNCT
absel-3192	96	1	exhibit	exhibit	VERB
absel-3192	96	2	6	6	NUM
absel-3192	96	3	model	model	NOUN
absel-3192	96	4	error	error	NOUN
absel-3192	96	5	(b	(b	PROPN
absel-3192	96	6	)	)	PUNCT
absel-3192	96	7	calculated	calculate	VERB
absel-3192	96	8	on	on	ADP
absel-3192	96	9	new	new	ADJ
absel-3192	96	10	independent	independent	ADJ
absel-3192	96	11	information	information	NOUN
absel-3192	96	12	(	(	PUNCT
absel-3192	96	13	b	b	NOUN
absel-3192	96	14	)	)	PUNCT
absel-3192	96	15	vs.	vs.	ADP
absel-3192	96	16	overfitting	overfitte	VERB
absel-3192	96	17	i.e.	i.e.	X
absel-3192	96	18	traditional	traditional	ADJ
absel-3192	96	19	error	error	NOUN
absel-3192	96	20	(a+b	(a+b	NOUN
absel-3192	96	21	)	)	PUNCT
absel-3192	96	22	calculated	calculate	VERB
absel-3192	96	23	on	on	ADP
absel-3192	96	24	whole	whole	ADJ
absel-3192	96	25	data	datum	NOUN
absel-3192	96	26	set	set	VERB
absel-3192	96	27	(	(	PUNCT
absel-3192	96	28	a+b	a+b	NUM
absel-3192	96	29	)	)	PUNCT
absel-3192	96	30	(	(	PUNCT
absel-3192	96	31	source	source	NOUN
absel-3192	96	32	:	:	PUNCT
absel-3192	96	33	madala	madala	PROPN
absel-3192	96	34	&	&	CCONJ
absel-3192	96	35	ivakhnenko	ivakhnenko	PROPN
absel-3192	96	36	,	,	PUNCT
absel-3192	96	37	1994	1994	NUM
absel-3192	96	38	,	,	PUNCT
absel-3192	96	39	p.11	p.11	PROPN
absel-3192	96	40	)	)	PUNCT
absel-3192	96	41	exhibit	exhibit	VERB
absel-3192	96	42	7	7	NUM
absel-3192	96	43	base	base	NOUN
absel-3192	96	44	function	function	NOUN
absel-3192	96	45	in	in	ADP
absel-3192	96	46	mlnan	mlnan	NOUN
absel-3192	96	47	(	(	PUNCT
absel-3192	96	48	1	1	NUM
absel-3192	96	49	)	)	PUNCT
absel-3192	96	50	page	page	NOUN
absel-3192	96	51	300	300	NUM
absel-3192	96	52	developments	development	NOUN
absel-3192	96	53	in	in	ADP
absel-3192	96	54	business	business	NOUN
absel-3192	96	55	simulation	simulation	NOUN
absel-3192	96	56	and	and	CCONJ
absel-3192	96	57	experiential	experiential	ADJ
absel-3192	96	58	learning	learning	NOUN
absel-3192	96	59	,	,	PUNCT
absel-3192	96	60	volume	volume	NOUN
absel-3192	96	61	45	45	NUM
absel-3192	96	62	,	,	PUNCT
absel-3192	96	63	2018	2018	NUM
absel-3192	96	64	to	to	PART
absel-3192	96	65	find	find	VERB
absel-3192	96	66	the	the	DET
absel-3192	96	67	best	good	ADJ
absel-3192	96	68	solution	solution	NOUN
absel-3192	96	69	mlnan	mlnan	NOUN
absel-3192	96	70	analyzes	analyze	VERB
absel-3192	96	71	various	various	ADJ
absel-3192	96	72	component	component	NOUN
absel-3192	96	73	subsets	subset	NOUN
absel-3192	96	74	(	(	PUNCT
absel-3192	96	75	partial	partial	ADJ
absel-3192	96	76	models	model	NOUN
absel-3192	96	77	)	)	PUNCT
absel-3192	96	78	of	of	ADP
absel-3192	96	79	the	the	DET
absel-3192	96	80	base	base	NOUN
absel-3192	96	81	function	function	NOUN
absel-3192	96	82	(	(	PUNCT
absel-3192	96	83	1	1	NUM
absel-3192	96	84	)	)	PUNCT
absel-3192	96	85	where	where	SCONJ
absel-3192	96	86	the	the	DET
absel-3192	96	87	unknown	unknown	ADJ
absel-3192	96	88	coefficients	coefficient	NOUN
absel-3192	96	89	ai	ai	AUX
absel-3192	96	90	are	be	AUX
absel-3192	96	91	estimated	estimate	VERB
absel-3192	96	92	by	by	ADP
absel-3192	96	93	the	the	DET
absel-3192	96	94	least	least	ADJ
absel-3192	96	95	squares	square	NOUN
absel-3192	96	96	(	(	PUNCT
absel-3192	96	97	ls	ls	ADJ
absel-3192	96	98	)	)	PUNCT
absel-3192	96	99	method	method	NOUN
absel-3192	96	100	.	.	PUNCT
absel-3192	97	1	mlnan	mlnan	NOUN
absel-3192	97	2	algorithms	algorithm	NOUN
absel-3192	97	3	gradually	gradually	ADV
absel-3192	97	4	increase	increase	VERB
absel-3192	97	5	the	the	DET
absel-3192	97	6	number	number	NOUN
absel-3192	97	7	of	of	ADP
absel-3192	97	8	partial	partial	ADJ
absel-3192	97	9	model	model	NOUN
absel-3192	97	10	components	component	NOUN
absel-3192	97	11	as	as	SCONJ
absel-3192	97	12	shown	show	VERB
absel-3192	97	13	on	on	ADP
absel-3192	97	14	exhibit	exhibit	NOUN
absel-3192	97	15	4	4	NUM
absel-3192	97	16	until	until	ADP
absel-3192	97	17	finding	find	VERB
absel-3192	97	18	a	a	DET
absel-3192	97	19	model	model	NOUN
absel-3192	97	20	structure	structure	NOUN
absel-3192	97	21	with	with	ADP
absel-3192	97	22	optimal	optimal	ADJ
absel-3192	97	23	complexity	complexity	NOUN
absel-3192	97	24	selected	select	VERB
absel-3192	97	25	by	by	ADP
absel-3192	97	26	the	the	DET
absel-3192	97	27	minimum	minimum	ADJ
absel-3192	97	28	value	value	NOUN
absel-3192	97	29	of	of	ADP
absel-3192	97	30	the	the	DET
absel-3192	97	31	external	external	ADJ
absel-3192	97	32	(	(	PUNCT
absel-3192	97	33	cross	cross	NOUN
absel-3192	97	34	-	-	ADJ
absel-3192	97	35	validation	validation	ADJ
absel-3192	97	36	)	)	PUNCT
absel-3192	97	37	criterion	criterion	NOUN
absel-3192	97	38	.	.	PUNCT
absel-3192	98	1	in	in	ADP
absel-3192	98	2	this	this	DET
absel-3192	98	3	algorithm	algorithm	NOUN
absel-3192	98	4	,	,	PUNCT
absel-3192	98	5	first	first	ADV
absel-3192	98	6	,	,	PUNCT
absel-3192	98	7	the	the	DET
absel-3192	98	8	partial	partial	ADJ
absel-3192	98	9	models	model	NOUN
absel-3192	98	10	on	on	ADP
absel-3192	98	11	a	a	DET
absel-3192	98	12	lower	low	ADJ
absel-3192	98	13	layer	layer	NOUN
absel-3192	98	14	are	be	AUX
absel-3192	98	15	estimated	estimate	VERB
absel-3192	98	16	and	and	CCONJ
absel-3192	98	17	the	the	DET
absel-3192	98	18	corresponding	corresponding	ADJ
absel-3192	98	19	intermediate	intermediate	ADJ
absel-3192	98	20	outputs	output	NOUN
absel-3192	98	21	are	be	AUX
absel-3192	98	22	computed	compute	VERB
absel-3192	98	23	.	.	PUNCT
absel-3192	99	1	these	these	DET
absel-3192	99	2	outputs	output	NOUN
absel-3192	99	3	become	become	VERB
absel-3192	99	4	inputs	input	NOUN
absel-3192	99	5	of	of	ADP
absel-3192	99	6	the	the	DET
absel-3192	99	7	next	next	ADJ
absel-3192	99	8	layer	layer	NOUN
absel-3192	99	9	where	where	SCONJ
absel-3192	99	10	the	the	DET
absel-3192	99	11	new	new	ADJ
absel-3192	99	12	partial	partial	ADJ
absel-3192	99	13	models	model	NOUN
absel-3192	99	14	are	be	AUX
absel-3192	99	15	estimated	estimate	VERB
absel-3192	99	16	,	,	PUNCT
absel-3192	99	17	and	and	CCONJ
absel-3192	99	18	so	so	ADV
absel-3192	99	19	on	on	ADV
absel-3192	99	20	.	.	PUNCT
absel-3192	100	1	finally	finally	ADV
absel-3192	100	2	,	,	PUNCT
absel-3192	100	3	if	if	SCONJ
absel-3192	100	4	additional	additional	ADJ
absel-3192	100	5	layers	layer	NOUN
absel-3192	100	6	provide	provide	VERB
absel-3192	100	7	no	no	DET
absel-3192	100	8	further	further	ADJ
absel-3192	100	9	improvements	improvement	NOUN
absel-3192	100	10	to	to	ADP
absel-3192	100	11	the	the	DET
absel-3192	100	12	accuracy	accuracy	NOUN
absel-3192	100	13	of	of	ADP
absel-3192	100	14	the	the	DET
absel-3192	100	15	model	model	NOUN
absel-3192	100	16	,	,	PUNCT
absel-3192	100	17	the	the	DET
absel-3192	100	18	network	network	NOUN
absel-3192	100	19	selforganization	selforganization	NOUN
absel-3192	100	20	stops	stop	VERB
absel-3192	100	21	.	.	PUNCT
absel-3192	101	1	at	at	ADP
absel-3192	101	2	the	the	DET
absel-3192	101	3	end	end	NOUN
absel-3192	101	4	,	,	PUNCT
absel-3192	101	5	a	a	DET
absel-3192	101	6	given	give	VERB
absel-3192	101	7	number	number	NOUN
absel-3192	101	8	of	of	ADP
absel-3192	101	9	partial	partial	ADJ
absel-3192	101	10	models	model	NOUN
absel-3192	101	11	with	with	ADP
absel-3192	101	12	similar	similar	ADJ
absel-3192	101	13	accuracy	accuracy	NOUN
absel-3192	101	14	from	from	ADP
absel-3192	101	15	the	the	DET
absel-3192	101	16	last	last	ADJ
absel-3192	101	17	layer	layer	NOUN
absel-3192	101	18	are	be	AUX
absel-3192	101	19	selected	select	VERB
absel-3192	101	20	and	and	CCONJ
absel-3192	101	21	the	the	DET
absel-3192	101	22	base	base	NOUN
absel-3192	101	23	function	function	NOUN
absel-3192	101	24	(	(	PUNCT
absel-3192	101	25	1	1	NUM
absel-3192	101	26	)	)	PUNCT
absel-3192	101	27	for	for	ADP
absel-3192	101	28	each	each	PRON
absel-3192	101	29	of	of	ADP
absel-3192	101	30	them	they	PRON
absel-3192	101	31	is	be	AUX
absel-3192	101	32	restored	restore	VERB
absel-3192	101	33	using	use	VERB
absel-3192	101	34	an	an	DET
absel-3192	101	35	automated	automate	VERB
absel-3192	101	36	backward	backward	ADJ
absel-3192	101	37	tracking	tracking	NOUN
absel-3192	101	38	algorithm	algorithm	NOUN
absel-3192	101	39	,	,	PUNCT
absel-3192	101	40	providing	provide	VERB
absel-3192	101	41	“	"	PUNCT
absel-3192	101	42	freedom	freedom	NOUN
absel-3192	101	43	of	of	ADP
absel-3192	101	44	choice	choice	NOUN
absel-3192	101	45	”	"	PUNCT
absel-3192	101	46	to	to	ADP
absel-3192	101	47	the	the	DET
absel-3192	101	48	decision	decision	NOUN
absel-3192	101	49	maker	maker	NOUN
absel-3192	101	50	,	,	PUNCT
absel-3192	101	51	who	who	PRON
absel-3192	101	52	can	can	AUX
absel-3192	101	53	make	make	VERB
absel-3192	101	54	a	a	DET
absel-3192	101	55	selection	selection	NOUN
absel-3192	101	56	within	within	ADP
absel-3192	101	57	a	a	DET
absel-3192	101	58	set	set	NOUN
absel-3192	101	59	of	of	ADP
absel-3192	101	60	alternative	alternative	ADJ
absel-3192	101	61	good	good	ADJ
absel-3192	101	62	models	model	NOUN
absel-3192	101	63	.	.	PUNCT
absel-3192	102	1	many	many	ADJ
absel-3192	102	2	researchers	researcher	NOUN
absel-3192	102	3	have	have	AUX
absel-3192	102	4	applied	apply	VERB
absel-3192	102	5	successfully	successfully	ADV
absel-3192	102	6	similar	similar	ADJ
absel-3192	102	7	mlnan	mlnan	NOUN
absel-3192	102	8	algorithms	algorithm	NOUN
absel-3192	102	9	in	in	ADP
absel-3192	102	10	different	different	ADJ
absel-3192	102	11	areas	area	NOUN
absel-3192	102	12	,	,	PUNCT
absel-3192	102	13	including	include	VERB
absel-3192	102	14	business	business	NOUN
absel-3192	102	15	simulations	simulation	NOUN
absel-3192	102	16	and	and	CCONJ
absel-3192	102	17	model	model	NOUN
absel-3192	102	18	-	-	PUNCT
absel-3192	102	19	based	base	VERB
absel-3192	102	20	business	business	NOUN
absel-3192	102	21	games	game	NOUN
absel-3192	102	22	for	for	ADP
absel-3192	102	23	training	training	NOUN
absel-3192	102	24	and	and	CCONJ
absel-3192	102	25	education	education	NOUN
absel-3192	102	26	.	.	PUNCT
absel-3192	103	1	for	for	ADP
absel-3192	103	2	example	example	NOUN
absel-3192	103	3	,	,	PUNCT
absel-3192	103	4	a	a	DET
absel-3192	103	5	team	team	NOUN
absel-3192	103	6	of	of	ADP
absel-3192	103	7	researchers	researcher	NOUN
absel-3192	103	8	applied	apply	VERB
absel-3192	103	9	a	a	DET
absel-3192	103	10	working	work	VERB
absel-3192	103	11	prototype	prototype	NOUN
absel-3192	103	12	of	of	ADP
absel-3192	103	13	the	the	DET
absel-3192	103	14	mlnan	mlnan	NOUN
absel-3192	103	15	in	in	ADP
absel-3192	103	16	developing	develop	VERB
absel-3192	103	17	a	a	DET
absel-3192	103	18	series	series	NOUN
absel-3192	103	19	of	of	ADP
absel-3192	103	20	increasingly	increasingly	ADV
absel-3192	103	21	complex	complex	ADJ
absel-3192	103	22	simulation	simulation	NOUN
absel-3192	103	23	models	model	NOUN
absel-3192	103	24	(	(	PUNCT
absel-3192	103	25	linear	linear	PROPN
absel-3192	103	26	systems	system	NOUN
absel-3192	103	27	of	of	ADP
absel-3192	103	28	simultaneous	simultaneous	ADJ
absel-3192	103	29	equations	equation	NOUN
absel-3192	103	30	)	)	PUNCT
absel-3192	103	31	of	of	ADP
absel-3192	103	32	the	the	DET
absel-3192	103	33	national	national	ADJ
absel-3192	103	34	economy	economy	NOUN
absel-3192	103	35	with	with	ADP
absel-3192	103	36	a	a	DET
absel-3192	103	37	very	very	ADV
absel-3192	103	38	high	high	ADJ
absel-3192	103	39	level	level	NOUN
absel-3192	103	40	of	of	ADP
absel-3192	103	41	accuracy	accuracy	NOUN
absel-3192	103	42	(	(	PUNCT
absel-3192	103	43	marchev	marchev	NOUN
absel-3192	103	44	et	et	PROPN
absel-3192	103	45	al	al	PROPN
absel-3192	103	46	.	.	PROPN
absel-3192	103	47	1985	1985	NUM
absel-3192	103	48	)	)	PUNCT
absel-3192	103	49	.	.	PUNCT
absel-3192	104	1	other	other	ADJ
absel-3192	104	2	successful	successful	ADJ
absel-3192	104	3	applications	application	NOUN
absel-3192	104	4	in	in	ADP
absel-3192	104	5	predictive	predictive	ADJ
absel-3192	104	6	modeling	modeling	NOUN
absel-3192	104	7	with	with	ADP
absel-3192	104	8	similar	similar	ADJ
absel-3192	104	9	gmdh	gmdh	ADJ
absel-3192	104	10	algorithms	algorithm	NOUN
absel-3192	104	11	were	be	AUX
absel-3192	104	12	done	do	VERB
absel-3192	104	13	in	in	ADP
absel-3192	104	14	germany	germany	PROPN
absel-3192	104	15	(	(	PUNCT
absel-3192	104	16	müller	müller	NOUN
absel-3192	104	17	and	and	CCONJ
absel-3192	104	18	lemke	lemke	NOUN
absel-3192	104	19	2003	2003	NUM
absel-3192	104	20	)	)	PUNCT
absel-3192	104	21	,	,	PUNCT
absel-3192	104	22	the	the	DET
absel-3192	104	23	united	united	PROPN
absel-3192	104	24	states	states	PROPN
absel-3192	104	25	(	(	PUNCT
absel-3192	104	26	klein	klein	PROPN
absel-3192	104	27	et	et	PROPN
absel-3192	104	28	al	al	PROPN
absel-3192	104	29	.	.	PROPN
absel-3192	104	30	1980	1980	NUM
absel-3192	104	31	)	)	PUNCT
absel-3192	104	32	and	and	CCONJ
absel-3192	104	33	other	other	ADJ
absel-3192	104	34	countries	country	NOUN
absel-3192	104	35	.	.	PUNCT
absel-3192	105	1	comparisons	comparison	NOUN
absel-3192	105	2	of	of	ADP
absel-3192	105	3	the	the	DET
absel-3192	105	4	results	result	NOUN
absel-3192	105	5	from	from	ADP
absel-3192	105	6	different	different	ADJ
absel-3192	105	7	business	business	NOUN
absel-3192	105	8	simulations	simulation	NOUN
absel-3192	105	9	and	and	CCONJ
absel-3192	105	10	predictions	prediction	NOUN
absel-3192	105	11	,	,	PUNCT
absel-3192	105	12	made	make	VERB
absel-3192	105	13	with	with	ADP
absel-3192	105	14	these	these	DET
absel-3192	105	15	models	model	NOUN
absel-3192	105	16	,	,	PUNCT
absel-3192	105	17	show	show	VERB
absel-3192	105	18	almost	almost	ADV
absel-3192	105	19	insignificant	insignificant	ADJ
absel-3192	105	20	differences	difference	NOUN
absel-3192	105	21	in	in	ADP
absel-3192	105	22	their	their	PRON
absel-3192	105	23	errors	error	NOUN
absel-3192	105	24	and	and	CCONJ
absel-3192	105	25	a	a	DET
absel-3192	105	26	very	very	ADV
absel-3192	105	27	high	high	ADJ
absel-3192	105	28	level	level	NOUN
absel-3192	105	29	of	of	ADP
absel-3192	105	30	accuracy	accuracy	NOUN
absel-3192	105	31	(	(	PUNCT
absel-3192	105	32	motzev	motzev	NOUN
absel-3192	105	33	,	,	PUNCT
absel-3192	105	34	2016	2016	NUM
absel-3192	105	35	)	)	PUNCT
absel-3192	105	36	.	.	PUNCT
absel-3192	106	1	another	another	DET
absel-3192	106	2	area	area	NOUN
absel-3192	106	3	of	of	ADP
absel-3192	106	4	mlnan	mlnan	NOUN
absel-3192	106	5	applications	application	NOUN
absel-3192	106	6	is	be	AUX
absel-3192	106	7	in	in	ADP
absel-3192	106	8	model	model	NOUN
absel-3192	106	9	-	-	PUNCT
absel-3192	106	10	based	base	VERB
absel-3192	106	11	simulation	simulation	NOUN
absel-3192	106	12	games	game	NOUN
absel-3192	106	13	for	for	ADP
absel-3192	106	14	business	business	NOUN
absel-3192	106	15	training	training	NOUN
absel-3192	106	16	and	and	CCONJ
absel-3192	106	17	education	education	NOUN
absel-3192	106	18	.	.	PUNCT
absel-3192	107	1	an	an	DET
absel-3192	107	2	existing	exist	VERB
absel-3192	107	3	business	business	NOUN
absel-3192	107	4	game	game	NOUN
absel-3192	107	5	“	"	PUNCT
absel-3192	107	6	national	national	ADJ
absel-3192	107	7	economy	economy	NOUN
absel-3192	107	8	”	"	PUNCT
absel-3192	107	9	,	,	PUNCT
absel-3192	107	10	which	which	PRON
absel-3192	107	11	contains	contain	VERB
absel-3192	107	12	a	a	DET
absel-3192	107	13	model	model	NOUN
absel-3192	107	14	developed	develop	VERB
absel-3192	107	15	with	with	ADP
absel-3192	107	16	the	the	DET
absel-3192	107	17	general	general	ADJ
absel-3192	107	18	multiple	multiple	ADJ
absel-3192	107	19	regression	regression	NOUN
absel-3192	107	20	analysis	analysis	NOUN
absel-3192	107	21	,	,	PUNCT
absel-3192	107	22	was	be	AUX
absel-3192	107	23	improved	improve	VERB
absel-3192	107	24	significantly	significantly	ADV
absel-3192	107	25	after	after	ADP
absel-3192	107	26	applying	apply	VERB
absel-3192	107	27	mlnan	mlnan	NOUN
absel-3192	107	28	.	.	PUNCT
absel-3192	108	1	the	the	DET
absel-3192	108	2	same	same	ADJ
absel-3192	108	3	data	datum	NOUN
absel-3192	108	4	and	and	CCONJ
absel-3192	108	5	set	set	NOUN
absel-3192	108	6	of	of	ADP
absel-3192	108	7	variables	variable	NOUN
absel-3192	108	8	were	be	AUX
absel-3192	108	9	used	use	VERB
absel-3192	108	10	to	to	PART
absel-3192	108	11	build	build	VERB
absel-3192	108	12	a	a	DET
absel-3192	108	13	new	new	ADJ
absel-3192	108	14	model	model	NOUN
absel-3192	108	15	using	use	VERB
absel-3192	108	16	the	the	DET
absel-3192	108	17	mlnan	mlnan	NOUN
absel-3192	108	18	algorithm	algorithm	NOUN
absel-3192	108	19	.	.	PUNCT
absel-3192	109	1	the	the	DET
absel-3192	109	2	new	new	ADJ
absel-3192	109	3	model	model	NOUN
absel-3192	109	4	has	have	VERB
absel-3192	109	5	much	much	ADV
absel-3192	109	6	better	well	ADJ
absel-3192	109	7	accuracy	accuracy	NOUN
absel-3192	109	8	(	(	PUNCT
absel-3192	109	9	more	more	ADJ
absel-3192	109	10	than	than	ADP
absel-3192	109	11	five	five	NUM
absel-3192	109	12	times	time	NOUN
absel-3192	109	13	smaller	small	ADJ
absel-3192	109	14	mse%	mse%	NOUN
absel-3192	109	15	,	,	PUNCT
absel-3192	109	16	see	see	VERB
absel-3192	109	17	exhibit	exhibit	NOUN
absel-3192	109	18	8)	8)	NUM
absel-3192	109	19	and	and	CCONJ
absel-3192	109	20	thus	thus	ADV
absel-3192	109	21	provides	provide	VERB
absel-3192	109	22	a	a	DET
absel-3192	109	23	more	more	ADV
absel-3192	109	24	reliable	reliable	ADJ
absel-3192	109	25	base	base	NOUN
absel-3192	109	26	for	for	ADP
absel-3192	109	27	simulations	simulation	NOUN
absel-3192	109	28	and	and	CCONJ
absel-3192	109	29	what	what	PRON
absel-3192	109	30	-	-	PUNCT
absel-3192	109	31	if	if	SCONJ
absel-3192	109	32	analysis	analysis	NOUN
absel-3192	109	33	.	.	PUNCT
absel-3192	110	1	more	more	ADV
absel-3192	110	2	recently	recently	ADV
absel-3192	110	3	,	,	PUNCT
absel-3192	110	4	the	the	DET
absel-3192	110	5	mlnan	mlnan	NOUN
absel-3192	110	6	was	be	AUX
absel-3192	110	7	used	use	VERB
absel-3192	110	8	in	in	ADP
absel-3192	110	9	the	the	DET
absel-3192	110	10	process	process	NOUN
absel-3192	110	11	of	of	ADP
absel-3192	110	12	developing	develop	VERB
absel-3192	110	13	the	the	DET
absel-3192	110	14	“	"	PUNCT
absel-3192	110	15	new	new	ADJ
absel-3192	110	16	product	product	NOUN
absel-3192	110	17	”	"	PUNCT
absel-3192	110	18	game	game	NOUN
absel-3192	110	19	series	series	NOUN
absel-3192	110	20	,	,	PUNCT
absel-3192	110	21	which	which	PRON
absel-3192	110	22	is	be	AUX
absel-3192	110	23	an	an	DET
absel-3192	110	24	integrated	integrate	VERB
absel-3192	110	25	,	,	PUNCT
absel-3192	110	26	role	role	NOUN
absel-3192	110	27	-	-	PUNCT
absel-3192	110	28	playing	playing	NOUN
absel-3192	110	29	,	,	PUNCT
absel-3192	110	30	model	model	NOUN
absel-3192	110	31	-	-	PUNCT
absel-3192	110	32	based	base	VERB
absel-3192	110	33	simulation	simulation	NOUN
absel-3192	110	34	game	game	NOUN
absel-3192	110	35	designed	design	VERB
absel-3192	110	36	for	for	ADP
absel-3192	110	37	the	the	DET
absel-3192	110	38	purposes	purpose	NOUN
absel-3192	110	39	of	of	ADP
absel-3192	110	40	business	business	NOUN
absel-3192	110	41	training	training	NOUN
absel-3192	110	42	and	and	CCONJ
absel-3192	110	43	education	education	NOUN
absel-3192	110	44	(	(	PUNCT
absel-3192	110	45	motzev	motzev	NOUN
absel-3192	110	46	,	,	PUNCT
absel-3192	110	47	2012	2012	NUM
absel-3192	110	48	)	)	PUNCT
absel-3192	110	49	.	.	PUNCT
absel-3192	111	1	the	the	DET
absel-3192	111	2	latest	late	ADJ
absel-3192	111	3	versions	version	NOUN
absel-3192	111	4	of	of	ADP
absel-3192	111	5	the	the	DET
absel-3192	111	6	game	game	NOUN
absel-3192	111	7	cover	cover	VERB
absel-3192	111	8	all	all	DET
absel-3192	111	9	major	major	ADJ
absel-3192	111	10	stages	stage	NOUN
absel-3192	111	11	in	in	ADP
absel-3192	111	12	the	the	DET
absel-3192	111	13	process	process	NOUN
absel-3192	111	14	of	of	ADP
absel-3192	111	15	new	new	ADJ
absel-3192	111	16	product	product	NOUN
absel-3192	111	17	planning	planning	NOUN
absel-3192	111	18	and	and	CCONJ
absel-3192	111	19	development	development	NOUN
absel-3192	111	20	,	,	PUNCT
absel-3192	111	21	production	production	NOUN
absel-3192	111	22	and	and	CCONJ
absel-3192	111	23	operations	operation	NOUN
absel-3192	111	24	management	management	NOUN
absel-3192	111	25	,	,	PUNCT
absel-3192	111	26	sales	sale	NOUN
absel-3192	111	27	and	and	CCONJ
absel-3192	111	28	marketing	marketing	NOUN
absel-3192	111	29	.	.	PUNCT
absel-3192	112	1	it	it	PRON
absel-3192	112	2	could	could	AUX
absel-3192	112	3	be	be	AUX
absel-3192	112	4	used	use	VERB
absel-3192	112	5	not	not	PART
absel-3192	112	6	only	only	ADV
absel-3192	112	7	as	as	ADP
absel-3192	112	8	an	an	DET
absel-3192	112	9	educational	educational	ADJ
absel-3192	112	10	tool	tool	NOUN
absel-3192	112	11	for	for	ADP
absel-3192	112	12	teaching	teaching	NOUN
absel-3192	112	13	business	business	NOUN
absel-3192	112	14	,	,	PUNCT
absel-3192	112	15	but	but	CCONJ
absel-3192	112	16	it	it	PRON
absel-3192	112	17	may	may	AUX
absel-3192	112	18	also	also	ADV
absel-3192	112	19	be	be	AUX
absel-3192	112	20	carried	carry	VERB
absel-3192	112	21	out	out	ADP
absel-3192	112	22	for	for	ADP
absel-3192	112	23	business	business	NOUN
absel-3192	112	24	training	training	NOUN
absel-3192	112	25	in	in	ADP
absel-3192	112	26	general	general	ADJ
absel-3192	112	27	management	management	NOUN
absel-3192	112	28	,	,	PUNCT
absel-3192	112	29	production	production	NOUN
absel-3192	112	30	management	management	NOUN
absel-3192	112	31	,	,	PUNCT
absel-3192	112	32	inventory	inventory	NOUN
absel-3192	112	33	and	and	CCONJ
absel-3192	112	34	stock	stock	NOUN
absel-3192	112	35	control	control	NOUN
absel-3192	112	36	,	,	PUNCT
absel-3192	112	37	and	and	CCONJ
absel-3192	112	38	small	small	ADJ
absel-3192	112	39	business	business	NOUN
absel-3192	112	40	management	management	NOUN
absel-3192	112	41	.	.	PUNCT
absel-3192	113	1	conclusions	conclusion	NOUN
absel-3192	113	2	the	the	DET
absel-3192	113	3	benefits	benefit	NOUN
absel-3192	113	4	of	of	ADP
absel-3192	113	5	utilizing	utilize	VERB
absel-3192	113	6	an	an	DET
absel-3192	113	7	mlnan	mlnan	ADJ
absel-3192	113	8	algorithm	algorithm	NOUN
absel-3192	113	9	in	in	ADP
absel-3192	113	10	business	business	NOUN
absel-3192	113	11	simulations	simulation	NOUN
absel-3192	113	12	are	be	AUX
absel-3192	113	13	extensive	extensive	ADJ
absel-3192	113	14	.	.	PUNCT
absel-3192	114	1	mlnan	mlnan	PROPN
absel-3192	114	2	provides	provide	VERB
absel-3192	114	3	opportunities	opportunity	NOUN
absel-3192	114	4	to	to	PART
absel-3192	114	5	shorten	shorten	VERB
absel-3192	114	6	the	the	DET
absel-3192	114	7	design	design	NOUN
absel-3192	114	8	time	time	NOUN
absel-3192	114	9	and	and	CCONJ
absel-3192	114	10	reduce	reduce	VERB
absel-3192	114	11	the	the	DET
absel-3192	114	12	cost	cost	NOUN
absel-3192	114	13	and	and	CCONJ
absel-3192	114	14	the	the	DET
absel-3192	114	15	efforts	effort	NOUN
absel-3192	114	16	in	in	ADP
absel-3192	114	17	model	model	NOUN
absel-3192	114	18	building	building	NOUN
absel-3192	114	19	.	.	PUNCT
absel-3192	115	1	at	at	ADP
absel-3192	115	2	the	the	DET
absel-3192	115	3	same	same	ADJ
absel-3192	115	4	time	time	NOUN
absel-3192	115	5	,	,	PUNCT
absel-3192	115	6	mlnan	mlnan	NOUN
absel-3192	115	7	makes	make	VERB
absel-3192	115	8	it	it	PRON
absel-3192	115	9	possible	possible	ADJ
absel-3192	115	10	to	to	PART
absel-3192	115	11	develop	develop	VERB
absel-3192	115	12	even	even	ADV
absel-3192	115	13	complex	complex	ADJ
absel-3192	115	14	models	model	NOUN
absel-3192	115	15	reliably	reliably	ADV
absel-3192	115	16	with	with	ADP
absel-3192	115	17	low	low	ADJ
absel-3192	115	18	overall	overall	ADJ
absel-3192	115	19	error	error	NOUN
absel-3192	115	20	rates	rate	NOUN
absel-3192	115	21	.	.	PUNCT
absel-3192	116	1	ever	ever	ADV
absel-3192	116	2	increasing	increase	VERB
absel-3192	116	3	model	model	NOUN
absel-3192	116	4	accuracy	accuracy	NOUN
absel-3192	116	5	helps	help	VERB
absel-3192	116	6	researchers	researcher	NOUN
absel-3192	116	7	analyze	analyze	VERB
absel-3192	116	8	problems	problem	NOUN
absel-3192	116	9	more	more	ADV
absel-3192	116	10	precisely	precisely	ADV
absel-3192	116	11	,	,	PUNCT
absel-3192	116	12	which	which	PRON
absel-3192	116	13	leads	lead	VERB
absel-3192	116	14	to	to	ADP
absel-3192	116	15	deeper	deep	ADJ
absel-3192	116	16	and	and	CCONJ
absel-3192	116	17	better	well	ADJ
absel-3192	116	18	understanding	understanding	NOUN
absel-3192	116	19	.	.	PUNCT
absel-3192	117	1	models	model	NOUN
absel-3192	117	2	with	with	ADP
absel-3192	117	3	higher	high	ADJ
absel-3192	117	4	accuracy	accuracy	NOUN
absel-3192	117	5	simply	simply	ADV
absel-3192	117	6	produce	produce	VERB
absel-3192	117	7	better	well	ADJ
absel-3192	117	8	predictions	prediction	NOUN
absel-3192	117	9	and	and	CCONJ
absel-3192	117	10	support	support	NOUN
absel-3192	117	11	managers	manager	NOUN
absel-3192	117	12	in	in	ADP
absel-3192	117	13	making	make	VERB
absel-3192	117	14	better	well	ADJ
absel-3192	117	15	decisions	decision	NOUN
absel-3192	117	16	that	that	PRON
absel-3192	117	17	are	be	AUX
absel-3192	117	18	much	much	ADV
absel-3192	117	19	closer	close	ADJ
absel-3192	117	20	to	to	ADP
absel-3192	117	21	the	the	DET
absel-3192	117	22	real	real	ADJ
absel-3192	117	23	-	-	PUNCT
absel-3192	117	24	life	life	NOUN
absel-3192	117	25	business	business	NOUN
absel-3192	117	26	case	case	NOUN
absel-3192	117	27	.	.	PUNCT
absel-3192	118	1	it	it	PRON
absel-3192	118	2	is	be	AUX
absel-3192	118	3	easy	easy	ADJ
absel-3192	118	4	to	to	PART
absel-3192	118	5	prove	prove	VERB
absel-3192	118	6	the	the	DET
absel-3192	118	7	above	above	ADJ
absel-3192	118	8	statement	statement	NOUN
absel-3192	118	9	.	.	PUNCT
absel-3192	119	1	for	for	ADP
absel-3192	119	2	example	example	NOUN
absel-3192	119	3	(	(	PUNCT
absel-3192	119	4	motzev	motzev	PROPN
absel-3192	119	5	,	,	PUNCT
absel-3192	119	6	2016	2016	NUM
absel-3192	119	7	,	,	PUNCT
absel-3192	119	8	pp	pp	ADJ
absel-3192	119	9	.	.	PUNCT
absel-3192	119	10	317	317	NUM
absel-3192	119	11	-	-	SYM
absel-3192	119	12	318	318	NUM
absel-3192	119	13	)	)	PUNCT
absel-3192	119	14	increasing	increase	VERB
absel-3192	119	15	the	the	DET
absel-3192	119	16	model	model	NOUN
absel-3192	119	17	accuracy	accuracy	NOUN
absel-3192	119	18	in	in	ADP
absel-3192	119	19	forecasting	forecasting	NOUN
absel-3192	119	20	equation	equation	NOUN
absel-3192	119	21	,	,	PUNCT
absel-3192	119	22	i.e.	i.e.	X
absel-3192	119	23	reducing	reduce	VERB
absel-3192	119	24	its	its	PRON
absel-3192	119	25	relative	relative	ADJ
absel-3192	119	26	mse	mse	NOUN
absel-3192	119	27	from	from	ADP
absel-3192	119	28	7.5	7.5	NUM
absel-3192	119	29	%	%	NOUN
absel-3192	119	30	to	to	ADP
absel-3192	119	31	2.44	2.44	NUM
absel-3192	119	32	%	%	NOUN
absel-3192	119	33	means	mean	VERB
absel-3192	119	34	that	that	SCONJ
absel-3192	119	35	the	the	DET
absel-3192	119	36	prediction	prediction	NOUN
absel-3192	119	37	interval	interval	NOUN
absel-3192	119	38	at	at	ADP
absel-3192	119	39	99	99	NUM
absel-3192	119	40	%	%	NOUN
absel-3192	119	41	level	level	NOUN
absel-3192	119	42	of	of	ADP
absel-3192	119	43	significance	significance	NOUN
absel-3192	119	44	will	will	AUX
absel-3192	119	45	be	be	AUX
absel-3192	119	46	reduced	reduce	VERB
absel-3192	119	47	from	from	ADP
absel-3192	119	48	45	45	NUM
absel-3192	119	49	%	%	NOUN
absel-3192	119	50	(	(	PUNCT
absel-3192	119	51	mse	mse	PROPN
absel-3192	119	52	relative	relative	NOUN
absel-3192	119	53	to	to	ADP
absel-3192	119	54	the	the	DET
absel-3192	119	55	mean	mean	NOUN
absel-3192	119	56	)	)	PUNCT
absel-3192	119	57	to	to	ADP
absel-3192	119	58	14.64	14.64	NUM
absel-3192	119	59	%	%	NOUN
absel-3192	119	60	(	(	PUNCT
absel-3192	119	61	mse	mse	PROPN
absel-3192	119	62	relative	relative	NOUN
absel-3192	119	63	to	to	ADP
absel-3192	119	64	the	the	DET
absel-3192	119	65	mean	mean	NOUN
absel-3192	119	66	)	)	PUNCT
absel-3192	119	67	,	,	PUNCT
absel-3192	119	68	that	that	PRON
absel-3192	119	69	is	be	AUX
absel-3192	119	70	3.07	3.07	NUM
absel-3192	119	71	times	time	NOUN
absel-3192	119	72	.	.	PUNCT
absel-3192	120	1	increasing	increase	VERB
absel-3192	120	2	model	model	NOUN
absel-3192	120	3	accuracy	accuracy	NOUN
absel-3192	120	4	provides	provide	VERB
absel-3192	120	5	many	many	ADJ
absel-3192	120	6	other	other	ADJ
absel-3192	120	7	benefits	benefit	NOUN
absel-3192	120	8	.	.	PUNCT
absel-3192	121	1	the	the	DET
absel-3192	121	2	mlnan	mlnan	NOUN
absel-3192	121	3	makes	make	VERB
absel-3192	121	4	it	it	PRON
absel-3192	121	5	possible	possible	ADJ
absel-3192	121	6	to	to	PART
absel-3192	121	7	improve	improve	VERB
absel-3192	121	8	the	the	DET
absel-3192	121	9	decisions	decision	NOUN
absel-3192	121	10	that	that	PRON
absel-3192	121	11	students	student	NOUN
absel-3192	121	12	make	make	VERB
absel-3192	121	13	during	during	ADP
absel-3192	121	14	model	model	NOUN
absel-3192	121	15	-	-	PUNCT
absel-3192	121	16	based	base	VERB
absel-3192	121	17	business	business	NOUN
absel-3192	121	18	games	game	NOUN
absel-3192	121	19	.	.	PUNCT
absel-3192	122	1	as	as	SCONJ
absel-3192	122	2	mentioned	mention	VERB
absel-3192	122	3	above	above	ADV
absel-3192	122	4	,	,	PUNCT
absel-3192	122	5	if	if	SCONJ
absel-3192	122	6	the	the	DET
absel-3192	122	7	game	game	NOUN
absel-3192	122	8	model	model	NOUN
absel-3192	122	9	does	do	AUX
absel-3192	122	10	not	not	PART
absel-3192	122	11	accurately	accurately	ADV
absel-3192	122	12	represent	represent	VERB
absel-3192	122	13	the	the	DET
absel-3192	122	14	real	real	ADJ
absel-3192	122	15	system	system	NOUN
absel-3192	122	16	,	,	PUNCT
absel-3192	122	17	then	then	ADV
absel-3192	122	18	the	the	DET
absel-3192	122	19	knowledge	knowledge	NOUN
absel-3192	122	20	that	that	PRON
absel-3192	122	21	the	the	DET
absel-3192	122	22	students	student	NOUN
absel-3192	122	23	receive	receive	VERB
absel-3192	122	24	about	about	ADP
absel-3192	122	25	real	real	ADJ
absel-3192	122	26	-	-	PUNCT
absel-3192	122	27	life	life	NOUN
absel-3192	122	28	business	business	NOUN
absel-3192	122	29	is	be	AUX
absel-3192	122	30	questionable	questionable	ADJ
absel-3192	122	31	.	.	PUNCT
absel-3192	123	1	it	it	PRON
absel-3192	123	2	is	be	AUX
absel-3192	123	3	easy	easy	ADJ
absel-3192	123	4	to	to	PART
absel-3192	123	5	prove	prove	VERB
absel-3192	123	6	that	that	SCONJ
absel-3192	123	7	the	the	DET
absel-3192	123	8	learning	learning	NOUN
absel-3192	123	9	is	be	AUX
absel-3192	123	10	exhibit	exhibit	VERB
absel-3192	123	11	8	8	NUM
absel-3192	123	12	business	business	NOUN
absel-3192	123	13	game	game	NOUN
absel-3192	123	14	national	national	PROPN
absel-3192	123	15	economy	economy	NOUN
absel-3192	123	16	model	model	NOUN
absel-3192	123	17	characteristics	characteristic	NOUN
absel-3192	123	18	and	and	CCONJ
absel-3192	123	19	comparisons	comparison	NOUN
absel-3192	123	20	characteristics	characteristic	NOUN
absel-3192	123	21	old	old	ADJ
absel-3192	123	22	version	version	NOUN
absel-3192	123	23	improved	improve	VERB
absel-3192	123	24	version	version	NOUN
absel-3192	123	25	model	model	NOUN
absel-3192	123	26	description	description	NOUN
absel-3192	123	27	a	a	DET
absel-3192	123	28	one	one	NUM
absel-3192	123	29	-	-	PUNCT
absel-3192	123	30	product	product	NOUN
absel-3192	123	31	macro	macro	ADJ
absel-3192	123	32	-	-	ADJ
absel-3192	123	33	economic	economic	ADJ
absel-3192	123	34	model	model	NOUN
absel-3192	123	35	developed	develop	VERB
absel-3192	123	36	as	as	ADP
absel-3192	123	37	a	a	DET
absel-3192	123	38	system	system	NOUN
absel-3192	123	39	of	of	ADP
absel-3192	123	40	five	five	NUM
absel-3192	123	41	se	se	X
absel-3192	123	42	.	.	PUNCT
absel-3192	123	43	contains	contain	VERB
absel-3192	123	44	five	five	NUM
absel-3192	123	45	endogenous	endogenous	ADJ
absel-3192	123	46	,	,	PUNCT
absel-3192	123	47	one	one	NUM
absel-3192	123	48	exogenous	exogenous	ADJ
absel-3192	123	49	,	,	PUNCT
absel-3192	123	50	and	and	CCONJ
absel-3192	123	51	five	five	NUM
absel-3192	123	52	lag	lag	NOUN
absel-3192	123	53	variables	variable	NOUN
absel-3192	123	54	.	.	PUNCT
absel-3192	124	1	a	a	DET
absel-3192	124	2	one	one	NUM
absel-3192	124	3	-	-	PUNCT
absel-3192	124	4	product	product	NOUN
absel-3192	124	5	macroeconomic	macroeconomic	ADJ
absel-3192	124	6	model	model	NOUN
absel-3192	124	7	with	with	ADP
absel-3192	124	8	the	the	DET
absel-3192	124	9	same	same	ADJ
absel-3192	124	10	structure	structure	NOUN
absel-3192	124	11	.	.	PUNCT
absel-3192	125	1	contains	contain	VERB
absel-3192	125	2	same	same	ADJ
absel-3192	125	3	set	set	NOUN
absel-3192	125	4	of	of	ADP
absel-3192	125	5	variables	variable	NOUN
absel-3192	125	6	.	.	PUNCT
absel-3192	126	1	model	model	ADJ
absel-3192	126	2	-	-	PUNCT
absel-3192	126	3	building	building	NOUN
absel-3192	126	4	technique	technique	NOUN
absel-3192	126	5	indirect	indirect	ADJ
absel-3192	126	6	ols	ol	NOUN
absel-3192	126	7	used	use	VERB
absel-3192	126	8	to	to	PART
absel-3192	126	9	estimate	estimate	VERB
absel-3192	126	10	unknown	unknown	ADJ
absel-3192	126	11	coefficients	coefficient	NOUN
absel-3192	126	12	in	in	ADP
absel-3192	126	13	equations	equation	NOUN
absel-3192	126	14	.	.	PUNCT
absel-3192	127	1	model	model	PROPN
absel-3192	127	2	synthesized	synthesize	VERB
absel-3192	127	3	using	use	VERB
absel-3192	127	4	the	the	DET
absel-3192	127	5	gmdh	gmdh	ADJ
absel-3192	127	6	procedure	procedure	NOUN
absel-3192	127	7	.	.	PUNCT
absel-3192	128	1	model	model	NOUN
absel-3192	128	2	accuracy	accuracy	NOUN
absel-3192	128	3	mean	mean	VERB
absel-3192	128	4	squared	square	VERB
absel-3192	128	5	error	error	NOUN
absel-3192	128	6	relative	relative	ADJ
absel-3192	128	7	to	to	ADP
absel-3192	128	8	the	the	DET
absel-3192	128	9	mean	mean	ADJ
absel-3192	128	10	(	(	PUNCT
absel-3192	128	11	mse%	mse%	ADJ
absel-3192	128	12	)	)	PUNCT
absel-3192	128	13	=	=	SYM
absel-3192	128	14	14	14	NUM
absel-3192	128	15	%	%	NOUN
absel-3192	128	16	mse%	mse%	NOUN
absel-3192	128	17	=	=	NOUN
absel-3192	128	18	2.7	2.7	NUM
absel-3192	128	19	%	%	NOUN
absel-3192	128	20	(	(	PUNCT
absel-3192	128	21	source	source	NOUN
absel-3192	128	22	:	:	PUNCT
absel-3192	128	23	motzev	motzev	PROPN
absel-3192	128	24	&	&	CCONJ
absel-3192	128	25	lemke	lemke	PROPN
absel-3192	128	26	,	,	PUNCT
absel-3192	128	27	2015	2015	NUM
absel-3192	128	28	)	)	PUNCT
absel-3192	128	29	page	page	NOUN
absel-3192	128	30	301	301	NUM
absel-3192	128	31	developments	development	NOUN
absel-3192	128	32	in	in	ADP
absel-3192	128	33	business	business	NOUN
absel-3192	128	34	simulation	simulation	NOUN
absel-3192	128	35	and	and	CCONJ
absel-3192	128	36	experiential	experiential	ADJ
absel-3192	128	37	learning	learning	NOUN
absel-3192	128	38	,	,	PUNCT
absel-3192	128	39	volume	volume	NOUN
absel-3192	128	40	45	45	NUM
absel-3192	128	41	,	,	PUNCT
absel-3192	128	42	2018	2018	NUM
absel-3192	128	43	beer	beer	NOUN
absel-3192	128	44	,	,	PUNCT
absel-3192	128	45	s.	s.	PROPN
absel-3192	128	46	(	(	PUNCT
absel-3192	128	47	1959	1959	NUM
absel-3192	128	48	)	)	PUNCT
absel-3192	128	49	cybernetics	cybernetic	NOUN
absel-3192	128	50	and	and	CCONJ
absel-3192	128	51	management	management	NOUN
absel-3192	128	52	,	,	PUNCT
absel-3192	128	53	london	london	PROPN
absel-3192	128	54	:	:	PUNCT
absel-3192	128	55	english	english	PROPN
absel-3192	128	56	university	university	NOUN
absel-3192	128	57	press	press	NOUN
absel-3192	128	58	,	,	PUNCT
absel-3192	128	59	p.	p.	NOUN
absel-3192	128	60	280	280	NUM
absel-3192	128	61	.	.	PUNCT
absel-3192	129	1	berry	berry	NOUN
absel-3192	129	2	,	,	PUNCT
absel-3192	129	3	m.	m.	NOUN
absel-3192	129	4	&	&	CCONJ
absel-3192	129	5	linoff	linoff	PROPN
absel-3192	129	6	,	,	PUNCT
absel-3192	129	7	g.	g.	PROPN
absel-3192	129	8	(	(	PUNCT
absel-3192	129	9	2000	2000	NUM
absel-3192	129	10	)	)	PUNCT
absel-3192	129	11	mastering	master	VERB
absel-3192	129	12	data	datum	NOUN
absel-3192	129	13	mining	mining	NOUN
absel-3192	129	14	,	,	PUNCT
absel-3192	129	15	wiley	wiley	PROPN
absel-3192	129	16	.	.	PUNCT
absel-3192	130	1	burns	burn	NOUN
absel-3192	130	2	,	,	PUNCT
absel-3192	130	3	ed	ed	NOUN
absel-3192	130	4	.	.	PUNCT
absel-3192	131	1	(	(	PUNCT
absel-3192	131	2	2017	2017	NUM
absel-3192	131	3	)	)	PUNCT
absel-3192	131	4	.	.	PUNCT
absel-3192	132	1	deep	deep	ADJ
absel-3192	132	2	learning	learning	NOUN
absel-3192	132	3	models	model	NOUN
absel-3192	132	4	hampered	hamper	VERB
absel-3192	132	5	by	by	ADP
absel-3192	132	6	black	black	ADJ
absel-3192	132	7	box	box	NOUN
absel-3192	132	8	functionality	functionality	NOUN
absel-3192	132	9	.	.	PUNCT
absel-3192	133	1	techtarget	techtarget	NOUN
absel-3192	133	2	,	,	PUNCT
absel-3192	133	3	advanced	advanced	ADJ
absel-3192	133	4	analytics	analytic	NOUN
absel-3192	133	5	.	.	PUNCT
absel-3192	134	1	retrieved	retrieve	VERB
absel-3192	134	2	from	from	ADP
absel-3192	134	3	http://searchbusinessanalytics	http://searchbusinessanalytic	NOUN
absel-3192	134	4	.	.	PUNCT
absel-3192	135	1	techtarget.com/feature/deep-learning-modelshampered-by-black-box-functionality?utm	techtarget.com/feature/deep-learning-modelshampered-by-black-box-functionality?utm	NOUN
absel-3192	135	2	_	_	PRON
absel-3192	135	3	content	content	NOUN
absel-3192	135	4	=	=	NOUN
absel-3192	135	5	control&utm_medium	control&utm_medium	NOUN
absel-3192	135	6	=	=	NOUN
absel-3192	135	7	em&asrc	em&asrc	NOUN
absel-3192	135	8	=	=	NOUN
absel-3192	135	9	em_eru	em_eru	NOUN
absel-3192	135	10	_	_	NOUN
absel-3192	135	11	82565194&utm_campaign=20170914_eru%20	82565194&utm_campaign=20170914_eru%20	NUM
absel-3192	135	12	transmission%20for%2009/14/2017%20(user	transmission%20for%2009/14/2017%20(user	PROPN
absel-3192	135	13	universe:%202429004)&utm_source	universe:%202429004)&utm_source	PROPN
absel-3192	135	14	=	=	PROPN
absel-3192	135	15	eru&src=	eru&src=	PROPN
absel-3192	135	16	5669449	5669449	NUM
absel-3192	135	17	greenlaw	greenlaw	NOUN
absel-3192	135	18	,	,	PUNCT
absel-3192	135	19	p.	p.	PROPN
absel-3192	135	20	,	,	PUNCT
absel-3192	135	21	herron	herron	PROPN
absel-3192	135	22	,	,	PUNCT
absel-3192	135	23	l.	l.	PROPN
absel-3192	135	24	,	,	PUNCT
absel-3192	135	25	rawdon	rawdon	PROPN
absel-3192	135	26	,	,	PUNCT
absel-3192	135	27	r.	r.	PROPN
absel-3192	135	28	(	(	PUNCT
absel-3192	135	29	1962	1962	NUM
absel-3192	135	30	)	)	PUNCT
absel-3192	135	31	.	.	PUNCT
absel-3192	136	1	business	business	NOUN
absel-3192	136	2	simulation	simulation	NOUN
absel-3192	136	3	in	in	ADP
absel-3192	136	4	industrial	industrial	ADJ
absel-3192	136	5	and	and	CCONJ
absel-3192	136	6	university	university	NOUN
absel-3192	136	7	education	education	NOUN
absel-3192	136	8	prentice	prentice	NOUN
absel-3192	136	9	-	-	PUNCT
absel-3192	136	10	hall	hall	NOUN
absel-3192	136	11	.	.	PUNCT
absel-3192	137	1	hastie	hastie	PROPN
absel-3192	137	2	,	,	PUNCT
absel-3192	137	3	t.	t.	PROPN
absel-3192	137	4	,	,	PUNCT
absel-3192	137	5	tibshirani	tibshirani	PROPN
absel-3192	137	6	,	,	PUNCT
absel-3192	137	7	r.	r.	PROPN
absel-3192	137	8	,	,	PUNCT
absel-3192	137	9	friedman	friedman	PROPN
absel-3192	137	10	j.	j.	PROPN
absel-3192	137	11	(	(	PUNCT
absel-3192	137	12	2017	2017	NUM
absel-3192	137	13	)	)	PUNCT
absel-3192	137	14	the	the	DET
absel-3192	137	15	elements	element	NOUN
absel-3192	137	16	of	of	ADP
absel-3192	137	17	statistical	statistical	ADJ
absel-3192	137	18	learning	learning	NOUN
absel-3192	137	19	:	:	PUNCT
absel-3192	137	20	data	datum	NOUN
absel-3192	137	21	mining	mining	NOUN
absel-3192	137	22	,	,	PUNCT
absel-3192	137	23	inference	inference	NOUN
absel-3192	137	24	,	,	PUNCT
absel-3192	137	25	and	and	CCONJ
absel-3192	137	26	prediction	prediction	NOUN
absel-3192	137	27	,	,	PUNCT
absel-3192	137	28	new	new	PROPN
absel-3192	137	29	york	york	PROPN
absel-3192	137	30	:	:	PUNCT
absel-3192	137	31	springer	springer	NOUN
absel-3192	137	32	.	.	PUNCT
absel-3192	138	1	hornik	hornik	PROPN
absel-3192	138	2	,	,	PUNCT
absel-3192	138	3	k.	k.	PROPN
absel-3192	138	4	,	,	PUNCT
absel-3192	138	5	stinchcombe	stinchcombe	PROPN
absel-3192	138	6	,	,	PUNCT
absel-3192	138	7	m.	m.	NOUN
absel-3192	138	8	,	,	PUNCT
absel-3192	138	9	white	white	PROPN
absel-3192	138	10	,	,	PUNCT
absel-3192	138	11	h.	h.	PROPN
absel-3192	138	12	(	(	PUNCT
absel-3192	138	13	1989	1989	NUM
absel-3192	138	14	)	)	PUNCT
absel-3192	138	15	multilayer	multilayer	NOUN
absel-3192	138	16	feed	feed	NOUN
absel-3192	138	17	-forward	-forward	ADJ
absel-3192	138	18	networks	network	NOUN
absel-3192	138	19	are	be	AUX
absel-3192	138	20	universal	universal	ADJ
absel-3192	138	21	approximators	approximator	NOUN
absel-3192	138	22	.	.	PUNCT
absel-3192	139	1	neural	neural	ADJ
absel-3192	139	2	networks	network	NOUN
absel-3192	139	3	2	2	NUM
absel-3192	139	4	,	,	PUNCT
absel-3192	139	5	359–366	359–366	NUM
absel-3192	139	6	.	.	PUNCT
absel-3192	140	1	klein	klein	PROPN
absel-3192	140	2	,	,	PUNCT
absel-3192	140	3	l.	l.	PROPN
absel-3192	140	4	,	,	PUNCT
absel-3192	140	5	müller	müller	PROPN
absel-3192	140	6	,	,	PUNCT
absel-3192	140	7	j	j	PROPN
absel-3192	140	8	-	-	PUNCT
absel-3192	140	9	a.	a.	PROPN
absel-3192	140	10	,	,	PUNCT
absel-3192	140	11	ivakhnenko	ivakhnenko	PROPN
absel-3192	140	12	,	,	PUNCT
absel-3192	140	13	a.g	a.g	PROPN
absel-3192	140	14	.	.	PROPN
absel-3192	140	15	(	(	PUNCT
absel-3192	140	16	1980	1980	NUM
absel-3192	140	17	)	)	PUNCT
absel-3192	140	18	modeling	modeling	NOUN
absel-3192	140	19	of	of	ADP
absel-3192	140	20	the	the	DET
absel-3192	140	21	economics	economic	NOUN
absel-3192	140	22	of	of	ADP
absel-3192	140	23	the	the	DET
absel-3192	140	24	usa	usa	PROPN
absel-3192	140	25	by	by	ADP
absel-3192	140	26	self	self	NOUN
absel-3192	140	27	-	-	PUNCT
absel-3192	140	28	organization	organization	NOUN
absel-3192	140	29	of	of	ADP
absel-3192	140	30	the	the	DET
absel-3192	140	31	system	system	NOUN
absel-3192	140	32	of	of	ADP
absel-3192	140	33	equations	equation	NOUN
absel-3192	140	34	,	,	PUNCT
absel-3192	140	35	soviet	soviet	ADJ
absel-3192	140	36	automatic	automatic	ADJ
absel-3192	140	37	control	control	NOUN
absel-3192	140	38	13	13	NUM
absel-3192	140	39	,	,	PUNCT
absel-3192	140	40	1	1	NUM
absel-3192	140	41	,	,	PUNCT
absel-3192	140	42	1	1	NUM
absel-3192	140	43	-8	-8	NOUN
absel-3192	140	44	.	.	PUNCT
absel-3192	141	1	madala	madala	PROPN
absel-3192	141	2	,	,	PUNCT
absel-3192	141	3	h.	h.	PROPN
absel-3192	141	4	,	,	PUNCT
absel-3192	141	5	ivakhnenko	ivakhnenko	PROPN
absel-3192	141	6	,	,	PUNCT
absel-3192	141	7	a.g	a.g	PROPN
absel-3192	141	8	.	.	PROPN
absel-3192	141	9	(	(	PUNCT
absel-3192	141	10	1994	1994	NUM
absel-3192	141	11	)	)	PUNCT
absel-3192	141	12	inductive	inductive	VERB
absel-3192	141	13	learning	learn	VERB
absel-3192	141	14	algorithms	algorithm	NOUN
absel-3192	141	15	for	for	ADP
absel-3192	141	16	complex	complex	ADJ
absel-3192	141	17	systems	system	NOUN
absel-3192	141	18	modelling	modelling	NOUN
absel-3192	141	19	,	,	PUNCT
absel-3192	141	20	crc	crc	PROPN
absel-3192	141	21	press	press	PROPN
absel-3192	141	22	inc	inc	PROPN
absel-3192	141	23	.	.	PROPN
absel-3192	142	1	marchev	marchev	PROPN
absel-3192	142	2	a.	a.	PROPN
absel-3192	142	3	,	,	PUNCT
absel-3192	142	4	motzev	motzev	ADJ
absel-3192	142	5	m.	m.	NOUN
absel-3192	142	6	and	and	CCONJ
absel-3192	142	7	müller	müller	PROPN
absel-3192	142	8	,	,	PUNCT
absel-3192	142	9	j	j	PROPN
absel-3192	142	10	-	-	PUNCT
absel-3192	142	11	a.	a.	PROPN
absel-3192	142	12	(	(	PUNCT
absel-3192	142	13	1985	1985	NUM
absel-3192	142	14	)	)	PUNCT
absel-3192	142	15	applications	application	NOUN
absel-3192	142	16	of	of	ADP
absel-3192	142	17	self	self	NOUN
absel-3192	142	18	-	-	PUNCT
absel-3192	142	19	organization	organization	NOUN
absel-3192	142	20	procedures	procedure	NOUN
absel-3192	142	21	for	for	ADP
absel-3192	142	22	business	business	NOUN
absel-3192	142	23	system	system	NOUN
absel-3192	142	24	models	model	NOUN
absel-3192	142	25	building	build	VERB
absel-3192	142	26	”	"	PUNCT
absel-3192	142	27	,	,	PUNCT
absel-3192	142	28	automatics	automatic	NOUN
absel-3192	142	29	,	,	PUNCT
absel-3192	142	30	vol	vol	NOUN
absel-3192	142	31	.	.	PROPN
absel-3192	142	32	1	1	NUM
absel-3192	142	33	,	,	PUNCT
absel-3192	142	34	37	37	NUM
absel-3192	142	35	-	-	SYM
absel-3192	142	36	44	44	NUM
absel-3192	142	37	.	.	PUNCT
absel-3192	143	1	mohri	mohri	PROPN
absel-3192	143	2	,	,	PUNCT
absel-3192	143	3	m.	m.	NOUN
absel-3192	143	4	,	,	PUNCT
absel-3192	143	5	rostamizadeh	rostamizadeh	PROPN
absel-3192	143	6	,	,	PUNCT
absel-3192	143	7	a.	a.	NOUN
absel-3192	143	8	,	,	PUNCT
absel-3192	143	9	talwalkar	talwalkar	PROPN
absel-3192	143	10	,	,	PUNCT
absel-3192	143	11	a.	a.	PROPN
absel-3192	143	12	(	(	PUNCT
absel-3192	143	13	2012	2012	NUM
absel-3192	143	14	)	)	PUNCT
absel-3192	143	15	foundations	foundation	NOUN
absel-3192	143	16	of	of	ADP
absel-3192	143	17	machine	machine	NOUN
absel-3192	143	18	learning	learning	NOUN
absel-3192	143	19	,	,	PUNCT
absel-3192	143	20	the	the	DET
absel-3192	143	21	mit	mit	PROPN
absel-3192	143	22	press	press	NOUN
absel-3192	143	23	.	.	PUNCT
absel-3192	144	1	motzev	motzev	PROPN
absel-3192	144	2	,	,	PUNCT
absel-3192	144	3	m.	m.	NOUN
absel-3192	144	4	(	(	PUNCT
absel-3192	144	5	2012	2012	NUM
absel-3192	144	6	)	)	PUNCT
absel-3192	144	7	new	new	ADJ
absel-3192	144	8	product	product	NOUN
absel-3192	144	9	–	–	PUNCT
absel-3192	144	10	an	an	DET
absel-3192	144	11	integrated	integrate	VERB
absel-3192	144	12	simulation	simulation	NOUN
absel-3192	144	13	game	game	NOUN
absel-3192	144	14	in	in	ADP
absel-3192	144	15	business	business	NOUN
absel-3192	144	16	education	education	NOUN
absel-3192	144	17	.	.	PUNCT
absel-3192	145	1	in	in	ADP
absel-3192	145	2	:	:	PUNCT
absel-3192	145	3	bonds	bond	NOUN
absel-3192	145	4	&	&	CCONJ
absel-3192	145	5	bridges	bridge	NOUN
absel-3192	145	6	.	.	PUNCT
absel-3192	146	1	proceedings	proceeding	NOUN
absel-3192	146	2	of	of	ADP
absel-3192	146	3	the	the	DET
absel-3192	146	4	world	world	NOUN
absel-3192	146	5	conference	conference	NOUN
absel-3192	146	6	of	of	ADP
absel-3192	146	7	the	the	DET
absel-3192	146	8	isaga	isaga	NOUN
absel-3192	146	9	,	,	PUNCT
absel-3192	146	10	63	63	NUM
absel-3192	146	11	-75	-75	SYM
absel-3192	146	12	.	.	PUNCT
absel-3192	147	1	motzev	motzev	PROPN
absel-3192	147	2	,	,	PUNCT
absel-3192	147	3	m.	m.	NOUN
absel-3192	147	4	(	(	PUNCT
absel-3192	147	5	2016	2016	NUM
absel-3192	147	6	)	)	PUNCT
absel-3192	147	7	business	business	NOUN
absel-3192	147	8	forecasting	forecasting	NOUN
absel-3192	147	9	:	:	PUNCT
absel-3192	147	10	a	a	DET
absel-3192	147	11	contemporary	contemporary	ADJ
absel-3192	147	12	decision	decision	NOUN
absel-3192	147	13	making	make	VERB
absel-3192	147	14	approach	approach	NOUN
absel-3192	147	15	,	,	PUNCT
absel-3192	147	16	eudaimonia	eudaimonia	PROPN
absel-3192	147	17	productions	production	NOUN
absel-3192	147	18	.	.	PUNCT
absel-3192	148	1	motzev	motzev	PROPN
absel-3192	148	2	,	,	PUNCT
absel-3192	148	3	m.	m.	NOUN
absel-3192	148	4	&	&	CCONJ
absel-3192	148	5	lemke	lemke	PROPN
absel-3192	148	6	,	,	PUNCT
absel-3192	148	7	f.	f.	PROPN
absel-3192	148	8	(	(	PUNCT
absel-3192	148	9	2015	2015	NUM
absel-3192	148	10	)	)	PUNCT
absel-3192	148	11	self	self	NOUN
absel-3192	148	12	-	-	PUNCT
absel-3192	148	13	organizing	organize	VERB
absel-3192	148	14	data	datum	NOUN
absel-3192	148	15	mining	mining	NOUN
absel-3192	148	16	techniques	technique	NOUN
absel-3192	148	17	in	in	ADP
absel-3192	148	18	model	model	NOUN
absel-3192	148	19	based	base	VERB
absel-3192	148	20	simulation	simulation	NOUN
absel-3192	148	21	games	game	NOUN
absel-3192	148	22	for	for	ADP
absel-3192	148	23	business	business	NOUN
absel-3192	148	24	training	training	NOUN
absel-3192	148	25	and	and	CCONJ
absel-3192	148	26	education	education	NOUN
absel-3192	148	27	.	.	PUNCT
absel-3192	149	1	vanguard	vanguard	NOUN
absel-3192	149	2	scientific	scientific	ADJ
absel-3192	149	3	instruments	instrument	NOUN
absel-3192	149	4	in	in	ADP
absel-3192	149	5	management	management	NOUN
absel-3192	149	6	,	,	PUNCT
absel-3192	149	7	vol	vol	NOUN
absel-3192	149	8	.	.	PROPN
absel-3192	149	9	11	11	NUM
absel-3192	149	10	.	.	X
absel-3192	150	1	motzev	motzev	PROPN
absel-3192	150	2	,	,	PUNCT
absel-3192	150	3	m.	m.	NOUN
absel-3192	150	4	&	&	CCONJ
absel-3192	150	5	marchev	marchev	PROPN
absel-3192	150	6	,	,	PUNCT
absel-3192	150	7	a.	a.	NOUN
absel-3192	150	8	(	(	PUNCT
absel-3192	150	9	1988	1988	NUM
absel-3192	150	10	)	)	PUNCT
absel-3192	150	11	multi	multi	ADJ
absel-3192	150	12	-	-	ADJ
absel-3192	150	13	stage	stage	NOUN
absel-3192	150	14	selection	selection	NOUN
absel-3192	150	15	algorithms	algorithm	NOUN
absel-3192	150	16	in	in	ADP
absel-3192	150	17	simulation	simulation	NOUN
absel-3192	150	18	.	.	PUNCT
absel-3192	151	1	in	in	ADP
absel-3192	151	2	:	:	PUNCT
absel-3192	151	3	proceedings	proceeding	NOUN
absel-3192	151	4	of	of	ADP
absel-3192	151	5	xii	xii	PROPN
absel-3192	151	6	imacs	imacs	PROPN
absel-3192	151	7	world	world	PROPN
absel-3192	151	8	congress	congress	PROPN
absel-3192	151	9	,	,	PUNCT
absel-3192	151	10	paris	paris	PROPN
absel-3192	151	11	:	:	PUNCT
absel-3192	151	12	vol	vol	NOUN
absel-3192	151	13	.	.	PROPN
absel-3192	151	14	4	4	NUM
absel-3192	151	15	,	,	PUNCT
absel-3192	151	16	533	533	NUM
absel-3192	151	17	-	-	SYM
absel-3192	151	18	535	535	NUM
absel-3192	151	19	.	.	PUNCT
absel-3192	152	1	müller	müller	PROPN
absel-3192	152	2	,	,	PUNCT
absel-3192	152	3	j	j	PROPN
absel-3192	152	4	-	-	PUNCT
absel-3192	152	5	a.	a.	PROPN
absel-3192	152	6	&	&	CCONJ
absel-3192	152	7	lemke	lemke	PROPN
absel-3192	152	8	,	,	PUNCT
absel-3192	152	9	f.	f.	PROPN
absel-3192	152	10	(	(	PUNCT
absel-3192	152	11	2003	2003	NUM
absel-3192	152	12	)	)	PUNCT
absel-3192	152	13	self	self	NOUN
absel-3192	152	14	-	-	PUNCT
absel-3192	152	15	organizing	organize	VERB
absel-3192	152	16	data	datum	NOUN
absel-3192	152	17	mining	mining	NOUN
absel-3192	152	18	:	:	PUNCT
absel-3192	152	19	an	an	DET
absel-3192	152	20	intelligent	intelligent	ADJ
absel-3192	152	21	approach	approach	NOUN
absel-3192	152	22	to	to	PART
absel-3192	152	23	extract	extract	VERB
absel-3192	152	24	knowledge	knowledge	NOUN
absel-3192	152	25	from	from	ADP
absel-3192	152	26	data	data	PROPN
absel-3192	152	27	,	,	PUNCT
absel-3192	152	28	trafford	trafford	PROPN
absel-3192	152	29	publishing	publishing	PROPN
absel-3192	152	30	.	.	PUNCT
absel-3192	153	1	müller	müller	PROPN
absel-3192	153	2	,	,	PUNCT
absel-3192	153	3	j	j	PROPN
absel-3192	153	4	-	-	PUNCT
absel-3192	153	5	a.	a.	PROPN
absel-3192	153	6	&	&	CCONJ
absel-3192	153	7	lemke	lemke	PROPN
absel-3192	153	8	,	,	PUNCT
absel-3192	153	9	f.	f.	PROPN
absel-3192	153	10	(	(	PUNCT
absel-3192	153	11	1995	1995	NUM
absel-3192	153	12	)	)	PUNCT
absel-3192	153	13	self	self	NOUN
absel-3192	153	14	-	-	PUNCT
absel-3192	153	15	organizing	organize	VERB
absel-3192	153	16	modelling	modelling	NOUN
absel-3192	153	17	and	and	CCONJ
absel-3192	153	18	decision	decision	NOUN
absel-3192	153	19	support	support	NOUN
absel-3192	153	20	in	in	ADP
absel-3192	153	21	economics	economic	NOUN
absel-3192	153	22	.	.	PUNCT
absel-3192	154	1	in	in	ADP
absel-3192	154	2	:	:	PUNCT
absel-3192	154	3	proceedings	proceeding	NOUN
absel-3192	154	4	of	of	ADP
absel-3192	154	5	the	the	DET
absel-3192	154	6	imacs	imacs	PROPN
absel-3192	154	7	symposium	symposium	NOUN
absel-3192	154	8	on	on	ADP
absel-3192	154	9	systems	system	NOUN
absel-3192	154	10	analysis	analysis	NOUN
absel-3192	154	11	and	and	CCONJ
absel-3192	154	12	simulation	simulation	NOUN
absel-3192	154	13	,	,	PUNCT
absel-3192	154	14	gordon	gordon	PROPN
absel-3192	154	15	and	and	CCONJ
absel-3192	154	16	breach	breach	VERB
absel-3192	154	17	publ	publ	NOUN
absel-3192	154	18	.	.	PUNCT
absel-3192	154	19	,	,	PUNCT
absel-3192	154	20	135	135	NUM
absel-3192	154	21	-	-	SYM
absel-3192	154	22	138	138	NUM
absel-3192	154	23	.	.	PUNCT
absel-3192	155	1	zhang	zhang	PROPN
absel-3192	155	2	,	,	PUNCT
absel-3192	155	3	g.	g.	PROPN
absel-3192	155	4	,	,	PUNCT
absel-3192	155	5	patuwo	patuwo	PROPN
absel-3192	155	6	,	,	PUNCT
absel-3192	155	7	b.	b.	PROPN
absel-3192	155	8	,	,	PUNCT
absel-3192	155	9	hu	hu	PROPN
absel-3192	155	10	,	,	PUNCT
absel-3192	155	11	m.	m.	NOUN
absel-3192	155	12	(	(	PUNCT
absel-3192	155	13	1998	1998	NUM
absel-3192	155	14	)	)	PUNCT
absel-3192	155	15	forecasting	forecasting	NOUN
absel-3192	155	16	with	with	ADP
absel-3192	155	17	artificial	artificial	ADJ
absel-3192	155	18	neural	neural	ADJ
absel-3192	155	19	networks	network	NOUN
absel-3192	155	20	:	:	PUNCT
absel-3192	155	21	the	the	DET
absel-3192	155	22	state	state	NOUN
absel-3192	155	23	of	of	ADP
absel-3192	155	24	the	the	DET
absel-3192	155	25	art	art	NOUN
absel-3192	155	26	.	.	PUNCT
absel-3192	156	1	international	international	ADJ
absel-3192	156	2	journal	journal	NOUN
absel-3192	156	3	of	of	ADP
absel-3192	156	4	forecasting	forecast	VERB
absel-3192	156	5	14	14	NUM
absel-3192	156	6	,	,	PUNCT
absel-3192	156	7	35	35	NUM
absel-3192	156	8	-	-	SYM
absel-3192	156	9	62	62	NUM
absel-3192	156	10	.	.	PUNCT
absel-3192	157	1	references	reference	NOUN
absel-3192	157	2	minimal	minimal	ADJ
absel-3192	157	3	if	if	SCONJ
absel-3192	157	4	the	the	DET
absel-3192	157	5	simulation	simulation	NOUN
absel-3192	157	6	model	model	NOUN
absel-3192	157	7	is	be	AUX
absel-3192	157	8	not	not	PART
absel-3192	157	9	accurate	accurate	ADJ
absel-3192	157	10	and	and	CCONJ
absel-3192	157	11	the	the	DET
absel-3192	157	12	predictions	prediction	NOUN
absel-3192	157	13	made	make	VERB
absel-3192	157	14	by	by	ADP
absel-3192	157	15	students	student	NOUN
absel-3192	157	16	are	be	AUX
absel-3192	157	17	not	not	PART
absel-3192	157	18	close	close	ADJ
absel-3192	157	19	enough	enough	ADV
absel-3192	157	20	to	to	ADP
absel-3192	157	21	the	the	DET
absel-3192	157	22	real	real	ADJ
absel-3192	157	23	-	-	PUNCT
absel-3192	157	24	life	life	NOUN
absel-3192	157	25	business	business	NOUN
absel-3192	157	26	.	.	PUNCT
absel-3192	158	1	in	in	ADP
absel-3192	158	2	summary	summary	NOUN
absel-3192	158	3	,	,	PUNCT
absel-3192	158	4	mlnan	mlnan	PROPN
absel-3192	158	5	helps	help	VERB
absel-3192	158	6	researchers	researcher	NOUN
absel-3192	158	7	by	by	ADP
absel-3192	158	8	making	make	VERB
absel-3192	158	9	business	business	NOUN
absel-3192	158	10	simulations	simulation	NOUN
absel-3192	158	11	and	and	CCONJ
absel-3192	158	12	model	model	NOUN
absel-3192	158	13	-	-	PUNCT
absel-3192	158	14	based	base	VERB
absel-3192	158	15	business	business	NOUN
absel-3192	158	16	games	game	NOUN
absel-3192	158	17	development	development	VERB
absel-3192	158	18	more	more	ADJ
absel-3192	158	19	cost	cost	NOUN
absel-3192	158	20	-	-	PUNCT
absel-3192	158	21	effective	effective	ADJ
absel-3192	158	22	.	.	PUNCT
absel-3192	159	1	all	all	DET
absel-3192	159	2	results	result	NOUN
absel-3192	159	3	so	so	ADV
absel-3192	159	4	far	far	ADV
absel-3192	159	5	show	show	VERB
absel-3192	159	6	that	that	SCONJ
absel-3192	159	7	it	it	PRON
absel-3192	159	8	is	be	AUX
absel-3192	159	9	able	able	ADJ
absel-3192	159	10	to	to	PART
absel-3192	159	11	develop	develop	VERB
absel-3192	159	12	even	even	ADV
absel-3192	159	13	complex	complex	ADJ
absel-3192	159	14	models	model	NOUN
absel-3192	159	15	reliably	reliably	ADV
absel-3192	159	16	with	with	ADP
absel-3192	159	17	better	well	ADJ
absel-3192	159	18	overall	overall	ADJ
absel-3192	159	19	error	error	NOUN
absel-3192	159	20	rates	rate	NOUN
absel-3192	159	21	than	than	ADP
absel-3192	159	22	most	most	ADJ
absel-3192	159	23	of	of	ADP
absel-3192	159	24	the	the	DET
absel-3192	159	25	current	current	ADJ
absel-3192	159	26	methods	method	NOUN
absel-3192	159	27	.	.	PUNCT
absel-3192	160	1	of	of	ADP
absel-3192	160	2	course	course	NOUN
absel-3192	160	3	,	,	PUNCT
absel-3192	160	4	data	datum	NOUN
absel-3192	160	5	fitting	fitting	ADJ
absel-3192	160	6	does	do	AUX
absel-3192	160	7	limit	limit	VERB
absel-3192	160	8	the	the	DET
absel-3192	160	9	value	value	NOUN
absel-3192	160	10	of	of	ADP
absel-3192	160	11	such	such	ADJ
absel-3192	160	12	algorithms	algorithm	NOUN
absel-3192	160	13	somewhat	somewhat	ADV
absel-3192	160	14	and	and	CCONJ
absel-3192	160	15	decision	decision	NOUN
absel-3192	160	16	makers	maker	NOUN
absel-3192	160	17	have	have	VERB
absel-3192	160	18	to	to	PART
absel-3192	160	19	decide	decide	VERB
absel-3192	160	20	the	the	DET
absel-3192	160	21	overall	overall	ADJ
absel-3192	160	22	importance	importance	NOUN
absel-3192	160	23	of	of	ADP
absel-3192	160	24	the	the	DET
absel-3192	160	25	model	model	NOUN
absel-3192	160	26	outputs	output	NOUN
absel-3192	160	27	.	.	PUNCT
absel-3192	161	1	for	for	ADP
absel-3192	161	2	example	example	NOUN
absel-3192	161	3	,	,	PUNCT
absel-3192	161	4	the	the	DET
absel-3192	161	5	future	future	NOUN
absel-3192	161	6	can	can	AUX
absel-3192	161	7	not	not	PART
absel-3192	161	8	always	always	ADV
absel-3192	161	9	be	be	AUX
absel-3192	161	10	predicted	predict	VERB
absel-3192	161	11	based	base	VERB
absel-3192	161	12	on	on	ADP
absel-3192	161	13	history	history	NOUN
absel-3192	161	14	.	.	PUNCT
absel-3192	162	1	however	however	ADV
absel-3192	162	2	,	,	PUNCT
absel-3192	162	3	the	the	DET
absel-3192	162	4	mlnan	mlnan	NOUN
absel-3192	162	5	does	do	AUX
absel-3192	162	6	provides	provide	VERB
absel-3192	162	7	processed	processed	ADJ
absel-3192	162	8	data	datum	NOUN
absel-3192	162	9	that	that	PRON
absel-3192	162	10	are	be	AUX
absel-3192	162	11	needed	need	VERB
absel-3192	162	12	in	in	ADP
absel-3192	162	13	the	the	DET
absel-3192	162	14	business	business	NOUN
absel-3192	162	15	context	context	NOUN
absel-3192	162	16	.	.	PUNCT
absel-3192	163	1	the	the	DET
absel-3192	163	2	extracted	extract	VERB
absel-3192	163	3	information	information	NOUN
absel-3192	163	4	is	be	AUX
absel-3192	163	5	useful	useful	ADJ
absel-3192	163	6	to	to	ADP
absel-3192	163	7	a	a	DET
absel-3192	163	8	business	business	NOUN
absel-3192	163	9	in	in	ADP
absel-3192	163	10	making	make	VERB
absel-3192	163	11	decisions	decision	NOUN
absel-3192	163	12	that	that	PRON
absel-3192	163	13	create	create	VERB
absel-3192	163	14	value	value	NOUN
absel-3192	163	15	or	or	CCONJ
absel-3192	163	16	decisions	decision	NOUN
absel-3192	163	17	that	that	PRON
absel-3192	163	18	predict	predict	VERB
absel-3192	163	19	market	market	NOUN
absel-3192	163	20	behavior	behavior	NOUN
absel-3192	163	21	in	in	ADP
absel-3192	163	22	a	a	DET
absel-3192	163	23	way	way	NOUN
absel-3192	163	24	that	that	PRON
absel-3192	163	25	provide	provide	VERB
absel-3192	163	26	a	a	DET
absel-3192	163	27	competitive	competitive	ADJ
absel-3192	163	28	advantage	advantage	NOUN
absel-3192	163	29	.	.	PUNCT
absel-3192	164	1	list	list	NOUN
absel-3192	164	2	of	of	ADP
absel-3192	164	3	acronyms	acronym	NOUN
absel-3192	164	4	used	use	VERB
absel-3192	164	5	:	:	PUNCT
absel-3192	164	6	anns	anns	PROPN
absel-3192	164	7	artificial	artificial	ADJ
absel-3192	164	8	neural	neural	ADJ
absel-3192	164	9	networks	network	NOUN
absel-3192	164	10	dnns	dnns	VERB
absel-3192	164	11	deep	deep	ADJ
absel-3192	164	12	neural	neural	ADJ
absel-3192	164	13	networks	network	NOUN
absel-3192	164	14	fnn	fnn	PROPN
absel-3192	164	15	feed	feed	NOUN
absel-3192	164	16	-	-	PUNCT
absel-3192	164	17	forward	forward	NOUN
absel-3192	164	18	network	network	NOUN
absel-3192	164	19	gmdh	gmdh	PROPN
absel-3192	164	20	group	group	NOUN
absel-3192	164	21	method	method	NOUN
absel-3192	164	22	of	of	ADP
absel-3192	164	23	data	datum	NOUN
absel-3192	164	24	handling	handle	VERB
absel-3192	164	25	ls	ls	ADJ
absel-3192	164	26	least	least	ADJ
absel-3192	164	27	squares	square	NOUN
absel-3192	164	28	mlnan	mlnan	ADJ
absel-3192	164	29	multi	multi	ADJ
absel-3192	164	30	-	-	ADJ
absel-3192	164	31	layered	layered	ADJ
absel-3192	164	32	networks	network	NOUN
absel-3192	164	33	of	of	ADP
absel-3192	164	34	active	active	ADJ
absel-3192	164	35	neurons	neuron	NOUN
absel-3192	164	36	mse	mse	NOUN
absel-3192	164	37	mean	mean	VERB
absel-3192	164	38	squared	square	VERB
absel-3192	164	39	error	error	NOUN
absel-3192	164	40	slns	slns	NOUN
absel-3192	164	41	statistical	statistical	ADJ
absel-3192	164	42	learning	learning	NOUN
absel-3192	164	43	networks	network	NOUN
absel-3192	164	44	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN
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absel-3192	164	46	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN
absel-3192	164	47	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN
absel-3192	164	48	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN
absel-3192	164	49	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN
absel-3192	164	50	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN
absel-3192	164	51	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	http://searchbusinessanalytics.techtarget.com/feature/deep-learning-models-hampered-by-black-box-functionality?utm_content=control&utm_medium=em&asrc=em_eru_82565194&utm_campaign=20170914_eru%20transmission%20for%2009/14/2017%20(useruniverse:%202429004)&utm_s	PROPN