id	sid	tid	token	lemma	pos
fis-5061	1	1	microsoft	microsoft	PROPN
fis-5061	1	2	word	word	PROPN
fis-5061	1	3	numero_70_art_04_5061.docx	numero_70_art_04_5061.docx	PROPN
fis-5061	1	4	p.	p.	PROPN
fis-5061	1	5	kulkarni	kulkarni	PROPN
fis-5061	1	6	et	et	PROPN
fis-5061	1	7	alii	alii	PROPN
fis-5061	1	8	,	,	PUNCT
fis-5061	1	9	frattura	frattura	PROPN
fis-5061	1	10	ed	ed	PROPN
fis-5061	1	11	integrità	integrità	PROPN
fis-5061	1	12	strutturale	strutturale	PROPN
fis-5061	1	13	,	,	PUNCT
fis-5061	1	14	70	70	NUM
fis-5061	1	15	(	(	PUNCT
fis-5061	1	16	2024	2024	NUM
fis-5061	1	17	)	)	PUNCT
fis-5061	1	18	71	71	NUM
fis-5061	1	19	-	-	SYM
fis-5061	1	20	90	90	NUM
fis-5061	1	21	;	;	PUNCT
fis-5061	1	22	doi	doi	NOUN
fis-5061	1	23	:	:	PUNCT
fis-5061	1	24	10.3221	10.3221	NUM
fis-5061	1	25	/	/	SYM
fis-5061	1	26	igf	igf	PROPN
fis-5061	1	27	-	-	PROPN
fis-5061	1	28	esis.70.04	esis.70.04	PROPN
fis-5061	1	29	71	71	NUM
fis-5061	1	30	modeling	model	VERB
fis-5061	1	31	turning	turn	VERB
fis-5061	1	32	performance	performance	NOUN
fis-5061	1	33	of	of	ADP
fis-5061	1	34	inconel	inconel	NOUN
fis-5061	1	35	718	718	NUM
fis-5061	1	36	with	with	ADP
fis-5061	1	37	hybrid	hybrid	ADJ
fis-5061	1	38	nanofluid	nanofluid	NOUN
fis-5061	1	39	under	under	ADP
fis-5061	1	40	mql	mql	NOUN
fis-5061	1	41	using	use	VERB
fis-5061	1	42	ann	ann	PROPN
fis-5061	1	43	and	and	CCONJ
fis-5061	1	44	anfis	anfi	VERB
fis-5061	1	45	paresh	paresh	PROPN
fis-5061	1	46	kulkarni	kulkarni	PROPN
fis-5061	1	47	vishwakarma	vishwakarma	PROPN
fis-5061	1	48	institute	institute	PROPN
fis-5061	1	49	of	of	ADP
fis-5061	1	50	information	information	NOUN
fis-5061	1	51	technology	technology	NOUN
fis-5061	1	52	,	,	PUNCT
fis-5061	1	53	assistant	assistant	NOUN
fis-5061	1	54	professor	professor	NOUN
fis-5061	1	55	at	at	ADP
fis-5061	1	56	dr	dr	PROPN
fis-5061	1	57	.	.	PROPN
fis-5061	2	1	d.y	d.y	PROPN
fis-5061	2	2	.	.	PROPN
fis-5061	2	3	patil	patil	PROPN
fis-5061	2	4	institute	institute	PROPN
fis-5061	2	5	of	of	ADP
fis-5061	2	6	engineering	engineering	PROPN
fis-5061	2	7	,	,	PUNCT
fis-5061	2	8	management	management	NOUN
fis-5061	2	9	and	and	CCONJ
fis-5061	2	10	research	research	NOUN
fis-5061	2	11	,	,	PUNCT
fis-5061	2	12	pune-411044	pune-411044	PROPN
fis-5061	2	13	,	,	PUNCT
fis-5061	2	14	india	india	PROPN
fis-5061	2	15	paresh.219p0014@viit.ac.in	paresh.219p0014@viit.ac.in	PROPN
fis-5061	2	16	,	,	PUNCT
fis-5061	2	17	http://orcid.org/0000-0002-2761-8754	http://orcid.org/0000-0002-2761-8754	PROPN
fis-5061	2	18	satish	satish	ADJ
fis-5061	2	19	chinchanikar	chinchanikar	PROPN
fis-5061	2	20	mechanical	mechanical	PROPN
fis-5061	2	21	department	department	PROPN
fis-5061	2	22	,	,	PUNCT
fis-5061	2	23	vishwakarma	vishwakarma	PROPN
fis-5061	2	24	institute	institute	PROPN
fis-5061	2	25	of	of	ADP
fis-5061	2	26	information	information	NOUN
fis-5061	2	27	technology	technology	NOUN
fis-5061	2	28	,	,	PUNCT
fis-5061	2	29	pune	pune	PROPN
fis-5061	2	30	,	,	PUNCT
fis-5061	2	31	india	india	PROPN
fis-5061	2	32	satish.chinchanikar@viit.ac.in	satish.chinchanikar@viit.ac.in	NUM
fis-5061	2	33	,	,	PUNCT
fis-5061	2	34	http://orcid.org/0000-0002-4175-3098	http://orcid.org/0000-0002-4175-3098	NOUN
fis-5061	2	35	keywords	keyword	NOUN
fis-5061	2	36	.	.	PUNCT
fis-5061	3	1	ann	ann	PROPN
fis-5061	3	2	,	,	PUNCT
fis-5061	3	3	anfis	anfis	PROPN
fis-5061	3	4	,	,	PUNCT
fis-5061	3	5	inconel	inconel	NOUN
fis-5061	3	6	718	718	NUM
fis-5061	3	7	,	,	PUNCT
fis-5061	3	8	subtractive	subtractive	NOUN
fis-5061	3	9	manufacturing	manufacturing	NOUN
fis-5061	3	10	,	,	PUNCT
fis-5061	3	11	tool	tool	NOUN
fis-5061	3	12	wear	wear	NOUN
fis-5061	3	13	,	,	PUNCT
fis-5061	3	14	fracture	fracture	NOUN
fis-5061	3	15	,	,	PUNCT
fis-5061	3	16	modeling	modeling	NOUN
fis-5061	3	17	.	.	PUNCT
fis-5061	4	1	citation	citation	NOUN
fis-5061	4	2	:	:	PUNCT
fis-5061	5	1	kulkarni	kulkarni	PROPN
fis-5061	5	2	,	,	PUNCT
fis-5061	5	3	p.	p.	PROPN
fis-5061	5	4	,	,	PUNCT
fis-5061	5	5	chinchanikar	chinchanikar	NOUN
fis-5061	5	6	,	,	PUNCT
fis-5061	5	7	s.	s.	PROPN
fis-5061	5	8	,	,	PUNCT
fis-5061	5	9	modeling	model	VERB
fis-5061	5	10	turning	turn	VERB
fis-5061	5	11	performance	performance	NOUN
fis-5061	5	12	of	of	ADP
fis-5061	5	13	inconel	inconel	NOUN
fis-5061	5	14	718	718	NUM
fis-5061	5	15	with	with	ADP
fis-5061	5	16	hybrid	hybrid	ADJ
fis-5061	5	17	nanofluid	nanofluid	NOUN
fis-5061	5	18	under	under	ADP
fis-5061	5	19	mql	mql	NOUN
fis-5061	5	20	using	use	VERB
fis-5061	5	21	ann	ann	PROPN
fis-5061	5	22	and	and	CCONJ
fis-5061	5	23	anfis	anfis	PROPN
fis-5061	5	24	,	,	PUNCT
fis-5061	5	25	frattura	frattura	PROPN
fis-5061	5	26	ed	ed	PROPN
fis-5061	5	27	integrità	integrità	PROPN
fis-5061	5	28	strutturale	strutturale	PROPN
fis-5061	5	29	,	,	PUNCT
fis-5061	5	30	70	70	NUM
fis-5061	5	31	(	(	PUNCT
fis-5061	5	32	2024	2024	NUM
fis-5061	5	33	)	)	PUNCT
fis-5061	5	34	71	71	NUM
fis-5061	5	35	-	-	SYM
fis-5061	5	36	90	90	NUM
fis-5061	5	37	.	.	PUNCT
fis-5061	5	38	received	receive	VERB
fis-5061	5	39	:	:	PUNCT
fis-5061	5	40	17.06.2024	17.06.2024	NUM
fis-5061	5	41	accepted	accept	VERB
fis-5061	5	42	:	:	PUNCT
fis-5061	5	43	16.07.2024	16.07.2024	NUM
fis-5061	5	44	published	publish	VERB
fis-5061	5	45	:	:	PUNCT
fis-5061	5	46	02.08.2024	02.08.2024	NUM
fis-5061	5	47	issue	issue	NOUN
fis-5061	5	48	:	:	PUNCT
fis-5061	5	49	10.2024	10.2024	NUM
fis-5061	5	50	copyright	copyright	NOUN
fis-5061	5	51	:	:	PUNCT
fis-5061	5	52	©	©	PROPN
fis-5061	5	53	2024	2024	NUM
fis-5061	5	54	this	this	PRON
fis-5061	5	55	is	be	AUX
fis-5061	5	56	an	an	DET
fis-5061	5	57	open	open	ADJ
fis-5061	5	58	access	access	NOUN
fis-5061	5	59	article	article	NOUN
fis-5061	5	60	under	under	ADP
fis-5061	5	61	the	the	DET
fis-5061	5	62	terms	term	NOUN
fis-5061	5	63	of	of	ADP
fis-5061	5	64	the	the	DET
fis-5061	5	65	cc	cc	NOUN
fis-5061	5	66	-	-	PUNCT
fis-5061	5	67	by	by	ADP
fis-5061	5	68	4.0	4.0	NUM
fis-5061	5	69	,	,	PUNCT
fis-5061	5	70	which	which	PRON
fis-5061	5	71	permits	permit	VERB
fis-5061	5	72	unrestricted	unrestricted	ADJ
fis-5061	5	73	use	use	NOUN
fis-5061	5	74	,	,	PUNCT
fis-5061	5	75	distribution	distribution	NOUN
fis-5061	5	76	,	,	PUNCT
fis-5061	5	77	and	and	CCONJ
fis-5061	5	78	reproduction	reproduction	NOUN
fis-5061	5	79	in	in	ADP
fis-5061	5	80	any	any	DET
fis-5061	5	81	medium	medium	NOUN
fis-5061	5	82	,	,	PUNCT
fis-5061	5	83	provided	provide	VERB
fis-5061	5	84	the	the	DET
fis-5061	5	85	original	original	ADJ
fis-5061	5	86	author	author	NOUN
fis-5061	5	87	and	and	CCONJ
fis-5061	5	88	source	source	NOUN
fis-5061	5	89	are	be	AUX
fis-5061	5	90	credited	credit	VERB
fis-5061	5	91	.	.	PUNCT
fis-5061	6	1	introduction	introduction	NOUN
fis-5061	6	2	he	he	PRON
fis-5061	6	3	expansion	expansion	NOUN
fis-5061	6	4	of	of	ADP
fis-5061	6	5	the	the	DET
fis-5061	6	6	manufacturing	manufacturing	NOUN
fis-5061	6	7	field	field	NOUN
fis-5061	6	8	during	during	ADP
fis-5061	6	9	the	the	DET
fis-5061	6	10	previous	previous	ADJ
fis-5061	6	11	decade	decade	NOUN
fis-5061	6	12	has	have	AUX
fis-5061	6	13	had	have	VERB
fis-5061	6	14	an	an	DET
fis-5061	6	15	influence	influence	NOUN
fis-5061	6	16	on	on	ADP
fis-5061	6	17	the	the	DET
fis-5061	6	18	development	development	NOUN
fis-5061	6	19	of	of	ADP
fis-5061	6	20	several	several	ADJ
fis-5061	6	21	countries	country	NOUN
fis-5061	6	22	.	.	PUNCT
fis-5061	7	1	precise	precise	ADJ
fis-5061	7	2	and	and	CCONJ
fis-5061	7	3	sustainable	sustainable	ADJ
fis-5061	7	4	machining	machining	NOUN
fis-5061	7	5	are	be	AUX
fis-5061	7	6	critical	critical	ADJ
fis-5061	7	7	to	to	ADP
fis-5061	7	8	the	the	DET
fis-5061	7	9	industrial	industrial	ADJ
fis-5061	7	10	economy	economy	NOUN
fis-5061	7	11	and	and	CCONJ
fis-5061	7	12	environmental	environmental	ADJ
fis-5061	7	13	sustainability	sustainability	NOUN
fis-5061	7	14	.	.	PUNCT
fis-5061	8	1	with	with	ADP
fis-5061	8	2	the	the	DET
fis-5061	8	3	goal	goal	NOUN
fis-5061	8	4	of	of	ADP
fis-5061	8	5	enhancing	enhance	VERB
fis-5061	8	6	the	the	DET
fis-5061	8	7	cutting	cutting	NOUN
fis-5061	8	8	of	of	ADP
fis-5061	8	9	nickel	nickel	NOUN
fis-5061	8	10	alloys	alloy	NOUN
fis-5061	8	11	using	use	VERB
fis-5061	8	12	a	a	DET
fis-5061	8	13	sustainable	sustainable	ADJ
fis-5061	8	14	strategy	strategy	NOUN
fis-5061	8	15	,	,	PUNCT
fis-5061	8	16	significant	significant	ADJ
fis-5061	8	17	research	research	NOUN
fis-5061	8	18	was	be	AUX
fis-5061	8	19	conducted	conduct	VERB
fis-5061	8	20	on	on	ADP
fis-5061	8	21	cutting	cutting	NOUN
fis-5061	8	22	and	and	CCONJ
fis-5061	8	23	minimum	minimum	NOUN
fis-5061	8	24	quantity	quantity	NOUN
fis-5061	8	25	lubrication	lubrication	NOUN
fis-5061	8	26	(	(	PUNCT
fis-5061	8	27	mql	mql	NOUN
fis-5061	8	28	)	)	PUNCT
fis-5061	8	29	variables	variable	NOUN
fis-5061	8	30	.	.	PUNCT
fis-5061	9	1	[	[	X
fis-5061	9	2	1	1	NUM
fis-5061	9	3	]	]	PUNCT
fis-5061	9	4	.	.	PUNCT
fis-5061	10	1	the	the	DET
fis-5061	10	2	inconel	inconel	ADJ
fis-5061	10	3	718	718	NUM
fis-5061	10	4	nickel	nickel	NOUN
fis-5061	10	5	alloy	alloy	NOUN
fis-5061	10	6	is	be	AUX
fis-5061	10	7	difficult	difficult	ADJ
fis-5061	10	8	t	t	NOUN
fis-5061	10	9	https://youtu.be/klghwujxug4	https://youtu.be/klghwujxug4	PROPN
fis-5061	10	10	p.	p.	PROPN
fis-5061	10	11	kulkarni	kulkarni	PROPN
fis-5061	10	12	et	et	PROPN
fis-5061	10	13	alii	alii	PROPN
fis-5061	10	14	,	,	PUNCT
fis-5061	10	15	frattura	frattura	PROPN
fis-5061	10	16	ed	ed	PROPN
fis-5061	10	17	integrità	integrità	PROPN
fis-5061	10	18	strutturale	strutturale	PROPN
fis-5061	10	19	,	,	PUNCT
fis-5061	10	20	70	70	NUM
fis-5061	10	21	(	(	PUNCT
fis-5061	10	22	2024	2024	NUM
fis-5061	10	23	)	)	PUNCT
fis-5061	10	24	71	71	NUM
fis-5061	10	25	-	-	SYM
fis-5061	10	26	90	90	NUM
fis-5061	10	27	;	;	PUNCT
fis-5061	10	28	doi	doi	NOUN
fis-5061	10	29	:	:	PUNCT
fis-5061	10	30	10.3221	10.3221	NUM
fis-5061	10	31	/	/	SYM
fis-5061	10	32	igf	igf	PROPN
fis-5061	10	33	-	-	PROPN
fis-5061	10	34	esis.70.04	esis.70.04	PROPN
fis-5061	10	35	72	72	NUM
fis-5061	10	36	to	to	PART
fis-5061	10	37	cut	cut	VERB
fis-5061	10	38	due	due	ADP
fis-5061	10	39	to	to	ADP
fis-5061	10	40	its	its	PRON
fis-5061	10	41	high	high	ADJ
fis-5061	10	42	temperature	temperature	NOUN
fis-5061	10	43	strength	strength	NOUN
fis-5061	10	44	,	,	PUNCT
fis-5061	10	45	work	work	AUX
fis-5061	10	46	hardening	harden	VERB
fis-5061	10	47	inclination	inclination	NOUN
fis-5061	10	48	,	,	PUNCT
fis-5061	10	49	and	and	CCONJ
fis-5061	10	50	restricted	restrict	VERB
fis-5061	10	51	thermal	thermal	ADJ
fis-5061	10	52	conductivity	conductivity	NOUN
fis-5061	10	53	.	.	PUNCT
fis-5061	11	1	as	as	ADP
fis-5061	11	2	a	a	DET
fis-5061	11	3	result	result	NOUN
fis-5061	11	4	,	,	PUNCT
fis-5061	11	5	it	it	PRON
fis-5061	11	6	offers	offer	VERB
fis-5061	11	7	a	a	DET
fis-5061	11	8	variety	variety	NOUN
fis-5061	11	9	of	of	ADP
fis-5061	11	10	challenges	challenge	NOUN
fis-5061	11	11	in	in	ADP
fis-5061	11	12	the	the	DET
fis-5061	11	13	machining	machining	NOUN
fis-5061	11	14	space	space	NOUN
fis-5061	11	15	.	.	PUNCT
fis-5061	12	1	various	various	ADJ
fis-5061	12	2	sustainable	sustainable	ADJ
fis-5061	12	3	techniques	technique	NOUN
fis-5061	12	4	were	be	AUX
fis-5061	12	5	used	use	VERB
fis-5061	12	6	to	to	PART
fis-5061	12	7	improve	improve	VERB
fis-5061	12	8	the	the	DET
fis-5061	12	9	machining	machining	NOUN
fis-5061	12	10	of	of	ADP
fis-5061	12	11	inconel	inconel	NOUN
fis-5061	12	12	718	718	NUM
fis-5061	12	13	material	material	NOUN
fis-5061	12	14	while	while	SCONJ
fis-5061	12	15	also	also	ADV
fis-5061	12	16	considering	consider	VERB
fis-5061	12	17	environmental	environmental	ADJ
fis-5061	12	18	concerns	concern	NOUN
fis-5061	12	19	[	[	X
fis-5061	12	20	2	2	NUM
fis-5061	12	21	-	-	SYM
fis-5061	12	22	3	3	NUM
fis-5061	12	23	]	]	PUNCT
fis-5061	12	24	.	.	PUNCT
fis-5061	13	1	nanoparticle	nanoparticle	NOUN
fis-5061	13	2	-	-	PUNCT
fis-5061	13	3	based	base	VERB
fis-5061	13	4	materials	material	NOUN
fis-5061	13	5	like	like	ADP
fis-5061	13	6	multi	multi	ADJ
fis-5061	13	7	-	-	ADJ
fis-5061	13	8	walled	walled	ADJ
fis-5061	13	9	carbon	carbon	NOUN
fis-5061	13	10	nanotubes	nanotube	NOUN
fis-5061	13	11	(	(	PUNCT
fis-5061	13	12	mwcnts	mwcnt	NOUN
fis-5061	13	13	)	)	PUNCT
fis-5061	13	14	and	and	CCONJ
fis-5061	13	15	aluminum	aluminum	NOUN
fis-5061	13	16	oxide	oxide	NOUN
fis-5061	13	17	(	(	PUNCT
fis-5061	13	18	al2o3	al2o3	NOUN
fis-5061	13	19	)	)	PUNCT
fis-5061	13	20	nanofluids	nanofluid	NOUN
fis-5061	13	21	were	be	AUX
fis-5061	13	22	utilized	utilize	VERB
fis-5061	13	23	during	during	ADP
fis-5061	13	24	cutting	cut	VERB
fis-5061	13	25	to	to	PART
fis-5061	13	26	enhance	enhance	VERB
fis-5061	13	27	machining	machining	NOUN
fis-5061	13	28	performance	performance	NOUN
fis-5061	13	29	and	and	CCONJ
fis-5061	13	30	safeguard	safeguard	NOUN
fis-5061	13	31	operator	operator	NOUN
fis-5061	13	32	health	health	NOUN
fis-5061	13	33	[	[	X
fis-5061	13	34	4	4	NUM
fis-5061	13	35	]	]	PUNCT
fis-5061	13	36	.	.	PUNCT
fis-5061	14	1	manufacturing	manufacture	VERB
fis-5061	14	2	in	in	ADP
fis-5061	14	3	prior	prior	ADJ
fis-5061	14	4	decades	decade	NOUN
fis-5061	14	5	relied	rely	VERB
fis-5061	14	6	exclusively	exclusively	ADV
fis-5061	14	7	on	on	ADP
fis-5061	14	8	massive	massive	ADJ
fis-5061	14	9	imperial	imperial	ADJ
fis-5061	14	10	databases	database	NOUN
fis-5061	14	11	produced	produce	VERB
fis-5061	14	12	by	by	ADP
fis-5061	14	13	previous	previous	ADJ
fis-5061	14	14	researchers	researcher	NOUN
fis-5061	14	15	.	.	PUNCT
fis-5061	15	1	efficient	efficient	ADJ
fis-5061	15	2	machining	machining	NOUN
fis-5061	15	3	can	can	AUX
fis-5061	15	4	be	be	AUX
fis-5061	15	5	achieved	achieve	VERB
fis-5061	15	6	through	through	ADP
fis-5061	15	7	the	the	DET
fis-5061	15	8	development	development	NOUN
fis-5061	15	9	of	of	ADP
fis-5061	15	10	suitable	suitable	ADJ
fis-5061	15	11	cutting	cutting	NOUN
fis-5061	15	12	techniques	technique	NOUN
fis-5061	15	13	and	and	CCONJ
fis-5061	15	14	the	the	DET
fis-5061	15	15	application	application	NOUN
fis-5061	15	16	of	of	ADP
fis-5061	15	17	scientifically	scientifically	ADV
fis-5061	15	18	proven	prove	VERB
fis-5061	15	19	methods	method	NOUN
fis-5061	15	20	like	like	ADP
fis-5061	15	21	artificial	artificial	ADJ
fis-5061	15	22	intelligence	intelligence	NOUN
fis-5061	15	23	(	(	PUNCT
fis-5061	15	24	ai	ai	NOUN
fis-5061	15	25	)	)	PUNCT
fis-5061	15	26	and	and	CCONJ
fis-5061	15	27	soft	soft	ADJ
fis-5061	15	28	computing	computing	NOUN
fis-5061	15	29	.	.	PUNCT
fis-5061	16	1	accurate	accurate	ADJ
fis-5061	16	2	modeling	modeling	NOUN
fis-5061	16	3	techniques	technique	NOUN
fis-5061	16	4	are	be	AUX
fis-5061	16	5	vital	vital	ADJ
fis-5061	16	6	in	in	ADP
fis-5061	16	7	modern	modern	ADJ
fis-5061	16	8	manufacturing	manufacturing	NOUN
fis-5061	16	9	for	for	ADP
fis-5061	16	10	designing	design	VERB
fis-5061	16	11	efficient	efficient	ADJ
fis-5061	16	12	machining	machining	NOUN
fis-5061	16	13	processes	process	NOUN
fis-5061	16	14	,	,	PUNCT
fis-5061	16	15	reducing	reduce	VERB
fis-5061	16	16	production	production	NOUN
fis-5061	16	17	costs	cost	NOUN
fis-5061	16	18	,	,	PUNCT
fis-5061	16	19	enhancing	enhance	VERB
fis-5061	16	20	product	product	NOUN
fis-5061	16	21	quality	quality	NOUN
fis-5061	16	22	,	,	PUNCT
fis-5061	16	23	and	and	CCONJ
fis-5061	16	24	enhancing	enhance	VERB
fis-5061	16	25	operational	operational	ADJ
fis-5061	16	26	efficiency	efficiency	NOUN
fis-5061	16	27	.	.	PUNCT
fis-5061	17	1	these	these	DET
fis-5061	17	2	techniques	technique	NOUN
fis-5061	17	3	aid	aid	NOUN
fis-5061	17	4	engineers	engineer	NOUN
fis-5061	17	5	in	in	ADP
fis-5061	17	6	simulated	simulated	ADJ
fis-5061	17	7	scenarios	scenario	NOUN
fis-5061	17	8	,	,	PUNCT
fis-5061	17	9	optimizing	optimize	VERB
fis-5061	17	10	parameters	parameter	NOUN
fis-5061	17	11	,	,	PUNCT
fis-5061	17	12	saving	save	VERB
fis-5061	17	13	time	time	NOUN
fis-5061	17	14	and	and	CCONJ
fis-5061	17	15	cost	cost	NOUN
fis-5061	17	16	,	,	PUNCT
fis-5061	17	17	and	and	CCONJ
fis-5061	17	18	predicting	predict	VERB
fis-5061	17	19	issues	issue	NOUN
fis-5061	17	20	,	,	PUNCT
fis-5061	17	21	thereby	thereby	ADV
fis-5061	17	22	preventing	prevent	VERB
fis-5061	17	23	costly	costly	ADJ
fis-5061	17	24	errors	error	NOUN
fis-5061	17	25	during	during	ADP
fis-5061	17	26	manufacturing	manufacturing	NOUN
fis-5061	17	27	.	.	PUNCT
fis-5061	18	1	soft	soft	ADJ
fis-5061	18	2	computing	computing	NOUN
fis-5061	18	3	techniques	technique	NOUN
fis-5061	18	4	are	be	AUX
fis-5061	18	5	being	be	AUX
fis-5061	18	6	increasingly	increasingly	ADV
fis-5061	18	7	used	use	VERB
fis-5061	18	8	for	for	ADP
fis-5061	18	9	modeling	modeling	NOUN
fis-5061	18	10	owing	owe	VERB
fis-5061	18	11	to	to	ADP
fis-5061	18	12	their	their	PRON
fis-5061	18	13	self	self	NOUN
fis-5061	18	14	-	-	PUNCT
fis-5061	18	15	learning	learn	VERB
fis-5061	18	16	capabilities	capability	NOUN
fis-5061	18	17	,	,	PUNCT
fis-5061	18	18	fuzzy	fuzzy	ADJ
fis-5061	18	19	principles	principle	NOUN
fis-5061	18	20	,	,	PUNCT
fis-5061	18	21	and	and	CCONJ
fis-5061	18	22	evolutionary	evolutionary	ADJ
fis-5061	18	23	computational	computational	ADJ
fis-5061	18	24	philosophy	philosophy	NOUN
fis-5061	18	25	,	,	PUNCT
fis-5061	18	26	which	which	PRON
fis-5061	18	27	computes	compute	VERB
fis-5061	18	28	the	the	DET
fis-5061	18	29	total	total	NOUN
fis-5061	18	30	of	of	ADP
fis-5061	18	31	all	all	DET
fis-5061	18	32	incoming	incoming	ADJ
fis-5061	18	33	signals	signal	NOUN
fis-5061	18	34	.	.	PUNCT
fis-5061	19	1	these	these	DET
fis-5061	19	2	techniques	technique	NOUN
fis-5061	19	3	offer	offer	VERB
fis-5061	19	4	versatile	versatile	ADJ
fis-5061	19	5	solutions	solution	NOUN
fis-5061	19	6	for	for	ADP
fis-5061	19	7	complex	complex	ADJ
fis-5061	19	8	and	and	CCONJ
fis-5061	19	9	uncertain	uncertain	ADJ
fis-5061	19	10	data	datum	NOUN
fis-5061	19	11	,	,	PUNCT
fis-5061	19	12	adapting	adapt	VERB
fis-5061	19	13	and	and	CCONJ
fis-5061	19	14	learning	learn	VERB
fis-5061	19	15	from	from	ADP
fis-5061	19	16	new	new	ADJ
fis-5061	19	17	information	information	NOUN
fis-5061	19	18	,	,	PUNCT
fis-5061	19	19	making	make	VERB
fis-5061	19	20	them	they	PRON
fis-5061	19	21	ideal	ideal	ADJ
fis-5061	19	22	for	for	ADP
fis-5061	19	23	a	a	DET
fis-5061	19	24	wide	wide	ADJ
fis-5061	19	25	range	range	NOUN
fis-5061	19	26	of	of	ADP
fis-5061	19	27	modeling	model	VERB
fis-5061	19	28	applications	application	NOUN
fis-5061	19	29	.	.	PUNCT
fis-5061	20	1	these	these	DET
fis-5061	20	2	methods	method	NOUN
fis-5061	20	3	work	work	VERB
fis-5061	20	4	especially	especially	ADV
fis-5061	20	5	well	well	ADV
fis-5061	20	6	in	in	ADP
fis-5061	20	7	areas	area	NOUN
fis-5061	20	8	like	like	ADP
fis-5061	20	9	optimization	optimization	NOUN
fis-5061	20	10	,	,	PUNCT
fis-5061	20	11	pattern	pattern	NOUN
fis-5061	20	12	recognition	recognition	NOUN
fis-5061	20	13	,	,	PUNCT
fis-5061	20	14	and	and	CCONJ
fis-5061	20	15	artificial	artificial	ADJ
fis-5061	20	16	intelligence	intelligence	NOUN
fis-5061	20	17	,	,	PUNCT
fis-5061	20	18	where	where	SCONJ
fis-5061	20	19	more	more	ADV
fis-5061	20	20	traditional	traditional	ADJ
fis-5061	20	21	approaches	approach	NOUN
fis-5061	20	22	could	could	AUX
fis-5061	20	23	have	have	VERB
fis-5061	20	24	trouble	trouble	NOUN
fis-5061	20	25	yielding	yield	VERB
fis-5061	20	26	reliable	reliable	ADJ
fis-5061	20	27	results	result	NOUN
fis-5061	20	28	.	.	PUNCT
fis-5061	21	1	another	another	DET
fis-5061	21	2	benefit	benefit	NOUN
fis-5061	21	3	of	of	ADP
fis-5061	21	4	soft	soft	ADJ
fis-5061	21	5	computing	computing	NOUN
fis-5061	21	6	techniques	technique	NOUN
fis-5061	21	7	is	be	AUX
fis-5061	21	8	their	their	PRON
fis-5061	21	9	capacity	capacity	NOUN
fis-5061	21	10	for	for	ADP
fis-5061	21	11	continuous	continuous	ADJ
fis-5061	21	12	improvement	improvement	NOUN
fis-5061	21	13	and	and	CCONJ
fis-5061	21	14	adaptation	adaptation	NOUN
fis-5061	21	15	,	,	PUNCT
fis-5061	21	16	which	which	PRON
fis-5061	21	17	makes	make	VERB
fis-5061	21	18	them	they	PRON
fis-5061	21	19	ideal	ideal	ADJ
fis-5061	21	20	for	for	ADP
fis-5061	21	21	dynamic	dynamic	ADJ
fis-5061	21	22	and	and	CCONJ
fis-5061	21	23	changing	change	VERB
fis-5061	21	24	systems	system	NOUN
fis-5061	21	25	.	.	PUNCT
fis-5061	22	1	the	the	DET
fis-5061	22	2	integration	integration	NOUN
fis-5061	22	3	of	of	ADP
fis-5061	22	4	ai	ai	ADJ
fis-5061	22	5	techniques	technique	NOUN
fis-5061	22	6	in	in	ADP
fis-5061	22	7	the	the	DET
fis-5061	22	8	manufacturing	manufacturing	NOUN
fis-5061	22	9	field	field	NOUN
fis-5061	22	10	has	have	AUX
fis-5061	22	11	evolved	evolve	VERB
fis-5061	22	12	in	in	ADP
fis-5061	22	13	recent	recent	ADJ
fis-5061	22	14	years	year	NOUN
fis-5061	22	15	,	,	PUNCT
fis-5061	22	16	like	like	ADP
fis-5061	22	17	artificial	artificial	ADJ
fis-5061	22	18	neural	neural	ADJ
fis-5061	22	19	networks	network	NOUN
fis-5061	22	20	(	(	PUNCT
fis-5061	22	21	ann	ann	PROPN
fis-5061	22	22	)	)	PUNCT
fis-5061	22	23	and	and	CCONJ
fis-5061	22	24	adaptive	adaptive	ADJ
fis-5061	22	25	neuro	neuro	NOUN
fis-5061	22	26	-	-	PUNCT
fis-5061	22	27	fuzzy	fuzzy	ADJ
fis-5061	22	28	inference	inference	NOUN
fis-5061	22	29	systems	system	NOUN
fis-5061	22	30	(	(	PUNCT
fis-5061	22	31	anfis	anfis	PROPN
fis-5061	22	32	)	)	PUNCT
fis-5061	22	33	.	.	PUNCT
fis-5061	23	1	the	the	DET
fis-5061	23	2	anfis	anfis	PROPN
fis-5061	23	3	,	,	PUNCT
fis-5061	23	4	was	be	AUX
fis-5061	23	5	used	use	VERB
fis-5061	23	6	in	in	ADP
fis-5061	23	7	the	the	DET
fis-5061	23	8	die	die	NOUN
fis-5061	23	9	sinking	sink	VERB
fis-5061	23	10	electric	electric	ADJ
fis-5061	23	11	discharge	discharge	NOUN
fis-5061	23	12	machining	machining	NOUN
fis-5061	23	13	(	(	PUNCT
fis-5061	23	14	edm	edm	PROPN
fis-5061	23	15	)	)	PUNCT
fis-5061	23	16	process	process	NOUN
fis-5061	23	17	to	to	PART
fis-5061	23	18	predict	predict	VERB
fis-5061	23	19	surface	surface	NOUN
fis-5061	23	20	roughness	roughness	NOUN
fis-5061	23	21	and	and	CCONJ
fis-5061	23	22	metal	metal	NOUN
fis-5061	23	23	removal	removal	NOUN
fis-5061	23	24	rate	rate	NOUN
fis-5061	23	25	for	for	ADP
fis-5061	23	26	aisi	aisi	PROPN
fis-5061	23	27	d2	d2	PROPN
fis-5061	23	28	tool	tool	PROPN
fis-5061	23	29	steel	steel	NOUN
fis-5061	23	30	[	[	X
fis-5061	23	31	5	5	NUM
fis-5061	23	32	]	]	PUNCT
fis-5061	23	33	.	.	PUNCT
fis-5061	24	1	the	the	DET
fis-5061	24	2	genetic	genetic	ADJ
fis-5061	24	3	programming	programming	NOUN
fis-5061	24	4	(	(	PUNCT
fis-5061	24	5	gp	gp	NOUN
fis-5061	24	6	)	)	PUNCT
fis-5061	24	7	models	model	NOUN
fis-5061	24	8	predicted	predict	VERB
fis-5061	24	9	the	the	DET
fis-5061	24	10	machining	machining	NOUN
fis-5061	24	11	characteristics	characteristic	NOUN
fis-5061	24	12	with	with	ADP
fis-5061	24	13	the	the	DET
fis-5061	24	14	highest	high	ADJ
fis-5061	24	15	accuracy	accuracy	NOUN
fis-5061	24	16	and	and	CCONJ
fis-5061	24	17	are	be	AUX
fis-5061	24	18	recognized	recognize	VERB
fis-5061	24	19	for	for	ADP
fis-5061	24	20	their	their	PRON
fis-5061	24	21	ability	ability	NOUN
fis-5061	24	22	to	to	PART
fis-5061	24	23	automatically	automatically	ADV
fis-5061	24	24	find	find	VERB
fis-5061	24	25	complicated	complicated	ADJ
fis-5061	24	26	correlations	correlation	NOUN
fis-5061	24	27	and	and	CCONJ
fis-5061	24	28	patterns	pattern	NOUN
fis-5061	24	29	in	in	ADP
fis-5061	24	30	data	datum	NOUN
fis-5061	24	31	without	without	ADP
fis-5061	24	32	prior	prior	ADJ
fis-5061	24	33	assumptions	assumption	NOUN
fis-5061	24	34	[	[	X
fis-5061	24	35	6	6	NUM
fis-5061	24	36	]	]	PUNCT
fis-5061	24	37	.	.	PUNCT
fis-5061	25	1	the	the	DET
fis-5061	25	2	tool	tool	NOUN
fis-5061	25	3	wear	wear	VERB
fis-5061	25	4	behavior	behavior	NOUN
fis-5061	25	5	in	in	ADP
fis-5061	25	6	turning	turn	VERB
fis-5061	25	7	aisi	aisi	PROPN
fis-5061	25	8	304	304	NUM
fis-5061	25	9	stainless	stainless	ADJ
fis-5061	25	10	steel	steel	NOUN
fis-5061	25	11	was	be	AUX
fis-5061	25	12	investigated	investigate	VERB
fis-5061	25	13	using	use	VERB
fis-5061	25	14	an	an	DET
fis-5061	25	15	empirical	empirical	NOUN
fis-5061	25	16	and	and	CCONJ
fis-5061	25	17	ann	ann	NOUN
fis-5061	25	18	modeling	modeling	NOUN
fis-5061	25	19	technique	technique	NOUN
fis-5061	25	20	.	.	PUNCT
fis-5061	26	1	the	the	DET
fis-5061	26	2	ann	ann	PROPN
fis-5061	26	3	model	model	NOUN
fis-5061	26	4	showed	show	VERB
fis-5061	26	5	better	well	ADJ
fis-5061	26	6	prediction	prediction	NOUN
fis-5061	26	7	precision	precision	NOUN
fis-5061	26	8	than	than	ADP
fis-5061	26	9	the	the	DET
fis-5061	26	10	traditional	traditional	ADJ
fis-5061	26	11	empirical	empirical	ADJ
fis-5061	26	12	models	model	NOUN
fis-5061	26	13	[	[	X
fis-5061	26	14	7	7	NUM
fis-5061	26	15	]	]	PUNCT
fis-5061	26	16	.	.	PUNCT
fis-5061	27	1	the	the	DET
fis-5061	27	2	hybrid	hybrid	ADJ
fis-5061	27	3	machine	machine	NOUN
fis-5061	27	4	learning	learning	NOUN
fis-5061	27	5	(	(	PUNCT
fis-5061	27	6	ml	ml	NOUN
fis-5061	27	7	)	)	PUNCT
fis-5061	27	8	models	model	NOUN
fis-5061	27	9	were	be	AUX
fis-5061	27	10	developed	develop	VERB
fis-5061	27	11	to	to	PART
fis-5061	27	12	predict	predict	VERB
fis-5061	27	13	induced	induce	VERB
fis-5061	27	14	residual	residual	ADJ
fis-5061	27	15	stresses	stress	NOUN
fis-5061	27	16	during	during	ADP
fis-5061	27	17	inconel	inconel	NOUN
fis-5061	27	18	718	718	NUM
fis-5061	27	19	alloy	alloy	NOUN
fis-5061	27	20	turning	turning	NOUN
fis-5061	27	21	.	.	PUNCT
fis-5061	28	1	the	the	DET
fis-5061	28	2	hybrid	hybrid	ADJ
fis-5061	28	3	pigeon	pigeon	NOUN
fis-5061	28	4	optimization	optimization	NOUN
fis-5061	28	5	algorithm	algorithm	NOUN
fis-5061	28	6	(	(	PUNCT
fis-5061	28	7	poa	poa	NOUN
fis-5061	28	8	)	)	PUNCT
fis-5061	28	9	and	and	CCONJ
fis-5061	28	10	particle	particle	NOUN
fis-5061	28	11	swarm	swarm	NOUN
fis-5061	28	12	optimization	optimization	NOUN
fis-5061	28	13	(	(	PUNCT
fis-5061	28	14	pso	pso	NOUN
fis-5061	28	15	)	)	PUNCT
fis-5061	28	16	performed	perform	VERB
fis-5061	28	17	better	well	ADV
fis-5061	28	18	than	than	ADP
fis-5061	28	19	the	the	DET
fis-5061	28	20	standard	standard	ADJ
fis-5061	28	21	unitary	unitary	ADJ
fis-5061	28	22	ann	ann	PROPN
fis-5061	28	23	model	model	NOUN
fis-5061	28	24	in	in	ADP
fis-5061	28	25	terms	term	NOUN
fis-5061	28	26	of	of	ADP
fis-5061	28	27	output	output	NOUN
fis-5061	28	28	response	response	NOUN
fis-5061	28	29	predictability	predictability	NOUN
fis-5061	28	30	[	[	X
fis-5061	28	31	8	8	NUM
fis-5061	28	32	]	]	PUNCT
fis-5061	28	33	.	.	PUNCT
fis-5061	29	1	the	the	DET
fis-5061	29	2	ann	ann	PROPN
fis-5061	29	3	model	model	NOUN
fis-5061	29	4	was	be	AUX
fis-5061	29	5	trained	train	VERB
fis-5061	29	6	using	use	VERB
fis-5061	29	7	the	the	DET
fis-5061	29	8	levenberg	levenberg	PROPN
fis-5061	29	9	-	-	PUNCT
fis-5061	29	10	marquardt	marquardt	PROPN
fis-5061	29	11	(	(	PUNCT
fis-5061	29	12	lm	lm	PROPN
fis-5061	29	13	)	)	PUNCT
fis-5061	29	14	prediction	prediction	NOUN
fis-5061	29	15	model	model	NOUN
fis-5061	29	16	for	for	ADP
fis-5061	29	17	forecasting	forecast	VERB
fis-5061	29	18	the	the	DET
fis-5061	29	19	machining	machining	NOUN
fis-5061	29	20	rate	rate	NOUN
fis-5061	29	21	and	and	CCONJ
fis-5061	29	22	tool	tool	NOUN
fis-5061	29	23	wear	wear	NOUN
fis-5061	29	24	of	of	ADP
fis-5061	29	25	inconel	inconel	NOUN
fis-5061	29	26	718	718	NUM
fis-5061	30	1	[	[	X
fis-5061	30	2	9	9	NUM
fis-5061	30	3	]	]	PUNCT
fis-5061	30	4	.	.	PUNCT
fis-5061	31	1	finite	finite	PROPN
fis-5061	31	2	element	element	PROPN
fis-5061	31	3	modeling	modeling	NOUN
fis-5061	31	4	(	(	PUNCT
fis-5061	31	5	fem	fem	NOUN
fis-5061	31	6	)	)	PUNCT
fis-5061	31	7	was	be	AUX
fis-5061	31	8	utilized	utilize	VERB
fis-5061	31	9	to	to	PART
fis-5061	31	10	estimate	estimate	VERB
fis-5061	31	11	the	the	DET
fis-5061	31	12	cutting	cut	VERB
fis-5061	31	13	force	force	NOUN
fis-5061	31	14	,	,	PUNCT
fis-5061	31	15	while	while	SCONJ
fis-5061	31	16	gp	gp	NOUN
fis-5061	31	17	was	be	AUX
fis-5061	31	18	used	use	VERB
fis-5061	31	19	to	to	PART
fis-5061	31	20	determine	determine	VERB
fis-5061	31	21	the	the	DET
fis-5061	31	22	mathematical	mathematical	ADJ
fis-5061	31	23	relationship	relationship	NOUN
fis-5061	31	24	between	between	ADP
fis-5061	31	25	the	the	DET
fis-5061	31	26	process	process	NOUN
fis-5061	31	27	factors	factor	NOUN
fis-5061	31	28	to	to	PART
fis-5061	31	29	conserve	conserve	VERB
fis-5061	31	30	power	power	NOUN
fis-5061	31	31	consumption	consumption	NOUN
fis-5061	31	32	while	while	SCONJ
fis-5061	31	33	machining	machine	VERB
fis-5061	31	34	hard	hard	ADJ
fis-5061	31	35	-	-	PUNCT
fis-5061	31	36	to	to	ADP
fis-5061	31	37	-	-	PUNCT
fis-5061	31	38	cut	cut	VERB
fis-5061	31	39	inconel	inconel	NOUN
fis-5061	32	1	718	718	NUM
fis-5061	32	2	[	[	X
fis-5061	32	3	10	10	NUM
fis-5061	32	4	]	]	PUNCT
fis-5061	32	5	.	.	PUNCT
fis-5061	33	1	the	the	DET
fis-5061	33	2	performance	performance	NOUN
fis-5061	33	3	of	of	ADP
fis-5061	33	4	an	an	DET
fis-5061	33	5	ann	ann	PROPN
fis-5061	33	6	model	model	NOUN
fis-5061	33	7	for	for	ADP
fis-5061	33	8	tool	tool	NOUN
fis-5061	33	9	wear	wear	NOUN
fis-5061	33	10	agreed	agree	VERB
fis-5061	33	11	well	well	ADV
fis-5061	33	12	with	with	ADP
fis-5061	33	13	measured	measure	VERB
fis-5061	33	14	flank	flank	NOUN
fis-5061	33	15	wear	wear	NOUN
fis-5061	33	16	while	while	SCONJ
fis-5061	33	17	turning	turn	VERB
fis-5061	33	18	inconel	inconel	NOUN
fis-5061	33	19	718	718	NUM
fis-5061	34	1	[	[	X
fis-5061	34	2	11	11	NUM
fis-5061	34	3	]	]	PUNCT
fis-5061	34	4	.	.	PUNCT
fis-5061	35	1	the	the	DET
fis-5061	35	2	wear	wear	NOUN
fis-5061	35	3	rate	rate	NOUN
fis-5061	35	4	of	of	ADP
fis-5061	35	5	friction	friction	NOUN
fis-5061	35	6	stir	stir	NOUN
fis-5061	35	7	processed	process	VERB
fis-5061	35	8	surface	surface	NOUN
fis-5061	35	9	composites	composite	NOUN
fis-5061	35	10	was	be	AUX
fis-5061	35	11	analyzed	analyze	VERB
fis-5061	35	12	using	use	VERB
fis-5061	35	13	ann	ann	PROPN
fis-5061	35	14	,	,	PUNCT
fis-5061	35	15	with	with	ADP
fis-5061	35	16	the	the	DET
fis-5061	35	17	feedforward	feedforward	NOUN
fis-5061	35	18	back	back	NOUN
fis-5061	35	19	propagation	propagation	NOUN
fis-5061	35	20	approach	approach	NOUN
fis-5061	35	21	adjusted	adjust	VERB
fis-5061	35	22	to	to	PART
fis-5061	35	23	minimize	minimize	VERB
fis-5061	35	24	mean	mean	VERB
fis-5061	35	25	squared	square	VERB
fis-5061	35	26	error	error	NOUN
fis-5061	35	27	[	[	X
fis-5061	35	28	12	12	NUM
fis-5061	35	29	]	]	PUNCT
fis-5061	35	30	.	.	PUNCT
fis-5061	36	1	the	the	DET
fis-5061	36	2	anfis	anfis	PROPN
fis-5061	36	3	was	be	AUX
fis-5061	36	4	used	use	VERB
fis-5061	36	5	with	with	ADP
fis-5061	36	6	different	different	ADJ
fis-5061	36	7	membership	membership	NOUN
fis-5061	36	8	functions	function	NOUN
fis-5061	36	9	to	to	PART
fis-5061	36	10	forecast	forecast	VERB
fis-5061	36	11	the	the	DET
fis-5061	36	12	mechanical	mechanical	ADJ
fis-5061	36	13	properties	property	NOUN
fis-5061	36	14	of	of	ADP
fis-5061	36	15	friction	friction	NOUN
fis-5061	36	16	steel	steel	NOUN
fis-5061	36	17	welded	weld	VERB
fis-5061	36	18	aa7075	aa7075	NOUN
fis-5061	36	19	-	-	PUNCT
fis-5061	36	20	t651	t651	NUM
fis-5061	36	21	joints	joint	NOUN
fis-5061	36	22	.	.	PUNCT
fis-5061	37	1	when	when	SCONJ
fis-5061	37	2	compared	compare	VERB
fis-5061	37	3	to	to	ADP
fis-5061	37	4	the	the	DET
fis-5061	37	5	other	other	ADJ
fis-5061	37	6	functions	function	NOUN
fis-5061	37	7	,	,	PUNCT
fis-5061	37	8	the	the	DET
fis-5061	37	9	triangular	triangular	NOUN
fis-5061	37	10	membership	membership	NOUN
fis-5061	37	11	function	function	NOUN
fis-5061	37	12	(	(	PUNCT
fis-5061	37	13	trimf	trimf	PROPN
fis-5061	37	14	)	)	PUNCT
fis-5061	37	15	had	have	VERB
fis-5061	37	16	the	the	DET
fis-5061	37	17	lowest	low	ADJ
fis-5061	37	18	level	level	NOUN
fis-5061	37	19	of	of	ADP
fis-5061	37	20	inaccuracy	inaccuracy	NOUN
fis-5061	37	21	[	[	X
fis-5061	37	22	13	13	NUM
fis-5061	37	23	]	]	PUNCT
fis-5061	37	24	.	.	PUNCT
fis-5061	38	1	an	an	DET
fis-5061	38	2	attempt	attempt	NOUN
fis-5061	38	3	was	be	AUX
fis-5061	38	4	made	make	VERB
fis-5061	38	5	to	to	PART
fis-5061	38	6	establish	establish	VERB
fis-5061	38	7	a	a	DET
fis-5061	38	8	prediction	prediction	NOUN
fis-5061	38	9	model	model	NOUN
fis-5061	38	10	for	for	ADP
fis-5061	38	11	machining	machining	NOUN
fis-5061	38	12	time	time	NOUN
fis-5061	38	13	during	during	ADP
fis-5061	38	14	milling	milling	NOUN
fis-5061	38	15	of	of	ADP
fis-5061	38	16	inconel	inconel	NOUN
fis-5061	38	17	718	718	NUM
fis-5061	38	18	with	with	ADP
fis-5061	38	19	the	the	DET
fis-5061	38	20	help	help	NOUN
fis-5061	38	21	of	of	ADP
fis-5061	38	22	box	box	NOUN
fis-5061	38	23	-	-	PUNCT
fis-5061	38	24	behnken	behnken	VERB
fis-5061	38	25	designs	design	NOUN
fis-5061	38	26	(	(	PUNCT
fis-5061	38	27	bbd)-response	bbd)-response	NOUN
fis-5061	38	28	surface	surface	NOUN
fis-5061	38	29	methodology	methodology	NOUN
fis-5061	38	30	(	(	PUNCT
fis-5061	38	31	rsm	rsm	PROPN
fis-5061	38	32	)	)	PUNCT
fis-5061	38	33	and	and	CCONJ
fis-5061	38	34	ann	ann	PROPN
fis-5061	38	35	techniques	technique	NOUN
fis-5061	38	36	,	,	PUNCT
fis-5061	38	37	and	and	CCONJ
fis-5061	38	38	it	it	PRON
fis-5061	38	39	was	be	AUX
fis-5061	38	40	discovered	discover	VERB
fis-5061	38	41	that	that	SCONJ
fis-5061	38	42	ann	ann	PROPN
fis-5061	38	43	based	base	VERB
fis-5061	38	44	modeling	modeling	NOUN
fis-5061	38	45	methods	method	NOUN
fis-5061	38	46	outperform	outperform	VERB
fis-5061	38	47	the	the	DET
fis-5061	38	48	bbd	bbd	PROPN
fis-5061	38	49	-	-	PUNCT
fis-5061	38	50	rsm	rsm	PROPN
fis-5061	38	51	methods	method	NOUN
fis-5061	38	52	in	in	ADP
fis-5061	38	53	predicting	predict	VERB
fis-5061	38	54	machining	machining	NOUN
fis-5061	38	55	time	time	NOUN
fis-5061	38	56	[	[	X
fis-5061	38	57	14	14	NUM
fis-5061	38	58	]	]	PUNCT
fis-5061	38	59	.	.	PUNCT
fis-5061	39	1	back	back	ADJ
fis-5061	39	2	-	-	PUNCT
fis-5061	39	3	propagation	propagation	NOUN
fis-5061	39	4	techniques	technique	NOUN
fis-5061	39	5	were	be	AUX
fis-5061	39	6	utilized	utilize	VERB
fis-5061	39	7	to	to	PART
fis-5061	39	8	develop	develop	VERB
fis-5061	39	9	ann	ann	PROPN
fis-5061	39	10	models	model	NOUN
fis-5061	39	11	for	for	ADP
fis-5061	39	12	electric	electric	ADJ
fis-5061	39	13	discharge	discharge	NOUN
fis-5061	39	14	machining	machining	NOUN
fis-5061	39	15	of	of	ADP
fis-5061	39	16	inconel-718	inconel-718	NOUN
fis-5061	39	17	[	[	X
fis-5061	39	18	15	15	NUM
fis-5061	39	19	]	]	PUNCT
fis-5061	39	20	.	.	PUNCT
fis-5061	40	1	the	the	DET
fis-5061	40	2	ann	ann	PROPN
fis-5061	40	3	model	model	NOUN
fis-5061	40	4	performed	perform	VERB
fis-5061	40	5	exceedingly	exceedingly	ADV
fis-5061	40	6	well	well	ADV
fis-5061	40	7	statistically	statistically	ADV
fis-5061	40	8	,	,	PUNCT
fis-5061	40	9	with	with	ADP
fis-5061	40	10	a	a	DET
fis-5061	40	11	solid	solid	ADJ
fis-5061	40	12	correlation	correlation	NOUN
fis-5061	40	13	and	and	CCONJ
fis-5061	40	14	a	a	DET
fis-5061	40	15	very	very	ADV
fis-5061	40	16	low	low	ADJ
fis-5061	40	17	error	error	NOUN
fis-5061	40	18	ratio	ratio	NOUN
fis-5061	40	19	between	between	ADP
fis-5061	40	20	actual	actual	ADJ
fis-5061	40	21	and	and	CCONJ
fis-5061	40	22	anticipated	anticipate	VERB
fis-5061	40	23	flank	flank	NOUN
fis-5061	40	24	wear	wear	NOUN
fis-5061	40	25	data	datum	NOUN
fis-5061	40	26	while	while	SCONJ
fis-5061	40	27	minimizing	minimize	VERB
fis-5061	40	28	tool	tool	NOUN
fis-5061	40	29	wear	wear	VERB
fis-5061	40	30	during	during	ADP
fis-5061	40	31	the	the	DET
fis-5061	40	32	milling	milling	NOUN
fis-5061	40	33	of	of	ADP
fis-5061	40	34	inconel	inconel	NOUN
fis-5061	40	35	718	718	NUM
fis-5061	41	1	[	[	X
fis-5061	41	2	16	16	NUM
fis-5061	41	3	]	]	PUNCT
fis-5061	41	4	.	.	PUNCT
fis-5061	42	1	anfis	anfis	PROPN
fis-5061	42	2	technology	technology	NOUN
fis-5061	42	3	was	be	AUX
fis-5061	42	4	used	use	VERB
fis-5061	42	5	for	for	ADP
fis-5061	42	6	edm	edm	PROPN
fis-5061	42	7	inconel	inconel	PROPN
fis-5061	42	8	625	625	NUM
fis-5061	42	9	and	and	CCONJ
fis-5061	42	10	showed	show	VERB
fis-5061	42	11	good	good	ADJ
fis-5061	42	12	prediction	prediction	NOUN
fis-5061	42	13	accuracy	accuracy	NOUN
fis-5061	42	14	for	for	ADP
fis-5061	42	15	surface	surface	NOUN
fis-5061	42	16	roughness	roughness	NOUN
fis-5061	42	17	,	,	PUNCT
fis-5061	42	18	tool	tool	NOUN
fis-5061	42	19	wear	wear	NOUN
fis-5061	42	20	,	,	PUNCT
fis-5061	42	21	and	and	CCONJ
fis-5061	42	22	metal	metal	NOUN
fis-5061	42	23	removal	removal	NOUN
fis-5061	42	24	rate	rate	NOUN
fis-5061	43	1	[	[	X
fis-5061	43	2	17	17	NUM
fis-5061	43	3	]	]	PUNCT
fis-5061	43	4	.	.	PUNCT
fis-5061	44	1	ann	ann	PROPN
fis-5061	44	2	models	model	NOUN
fis-5061	44	3	are	be	AUX
fis-5061	44	4	built	build	VERB
fis-5061	44	5	utilizing	utilize	VERB
fis-5061	44	6	feed	feed	NOUN
fis-5061	44	7	-	-	PUNCT
fis-5061	44	8	forward	forward	NOUN
fis-5061	44	9	back	back	NOUN
fis-5061	44	10	propagation	propagation	NOUN
fis-5061	44	11	algorithms	algorithm	NOUN
fis-5061	44	12	and	and	CCONJ
fis-5061	44	13	showed	show	VERB
fis-5061	44	14	good	good	ADJ
fis-5061	44	15	prediction	prediction	NOUN
fis-5061	44	16	accuracy	accuracy	NOUN
fis-5061	44	17	for	for	ADP
fis-5061	44	18	machining	machining	NOUN
fis-5061	44	19	inconel	inconel	NOUN
fis-5061	44	20	718	718	NUM
fis-5061	45	1	[	[	X
fis-5061	45	2	18	18	NUM
fis-5061	45	3	]	]	PUNCT
fis-5061	45	4	.	.	PUNCT
fis-5061	46	1	the	the	DET
fis-5061	46	2	study	study	NOUN
fis-5061	46	3	utilized	utilize	VERB
fis-5061	46	4	mamdani	mamdani	NOUN
fis-5061	46	5	-	-	PUNCT
fis-5061	46	6	based	base	VERB
fis-5061	46	7	fuzzy	fuzzy	ADJ
fis-5061	46	8	logic	logic	NOUN
fis-5061	46	9	to	to	PART
fis-5061	46	10	optimize	optimize	VERB
fis-5061	46	11	settings	setting	NOUN
fis-5061	46	12	,	,	PUNCT
fis-5061	46	13	followed	follow	VERB
fis-5061	46	14	by	by	ADP
fis-5061	46	15	a	a	DET
fis-5061	46	16	desirability	desirability	NOUN
fis-5061	46	17	function	function	NOUN
fis-5061	46	18	technique	technique	NOUN
fis-5061	46	19	from	from	ADP
fis-5061	46	20	rsm	rsm	PROPN
fis-5061	46	21	to	to	PART
fis-5061	46	22	maximize	maximize	VERB
fis-5061	46	23	material	material	NOUN
fis-5061	46	24	removal	removal	NOUN
fis-5061	46	25	rate	rate	NOUN
fis-5061	46	26	(	(	PUNCT
fis-5061	46	27	mrr	mrr	PROPN
fis-5061	46	28	)	)	PUNCT
fis-5061	46	29	and	and	CCONJ
fis-5061	46	30	minimize	minimize	VERB
fis-5061	46	31	surface	surface	NOUN
fis-5061	46	32	roughness	roughness	NOUN
fis-5061	46	33	.	.	PUNCT
fis-5061	47	1	in	in	ADP
fis-5061	47	2	comparison	comparison	NOUN
fis-5061	47	3	to	to	ADP
fis-5061	47	4	the	the	DET
fis-5061	47	5	experimental	experimental	ADJ
fis-5061	47	6	settings	setting	NOUN
fis-5061	47	7	,	,	PUNCT
fis-5061	47	8	the	the	DET
fis-5061	47	9	fuzzy	fuzzy	ADJ
fis-5061	47	10	system	system	NOUN
fis-5061	47	11	improves	improve	VERB
fis-5061	47	12	prediction	prediction	NOUN
fis-5061	47	13	accuracy	accuracy	NOUN
fis-5061	47	14	[	[	X
fis-5061	47	15	19	19	NUM
fis-5061	47	16	]	]	PUNCT
fis-5061	47	17	.	.	PUNCT
fis-5061	48	1	ann	ann	PROPN
fis-5061	48	2	had	have	VERB
fis-5061	48	3	the	the	DET
fis-5061	48	4	highest	high	ADJ
fis-5061	48	5	prediction	prediction	NOUN
fis-5061	48	6	efficiency	efficiency	NOUN
fis-5061	48	7	compared	compare	VERB
fis-5061	48	8	to	to	ADP
fis-5061	48	9	gene	gene	NOUN
fis-5061	48	10	expression	expression	NOUN
fis-5061	48	11	programming	programming	NOUN
fis-5061	48	12	(	(	PUNCT
fis-5061	48	13	gep	gep	PROPN
fis-5061	48	14	)	)	PUNCT
fis-5061	48	15	during	during	ADP
fis-5061	48	16	the	the	DET
fis-5061	48	17	edm	edm	PROPN
fis-5061	48	18	of	of	ADP
fis-5061	48	19	inconel	inconel	NOUN
fis-5061	48	20	718	718	NUM
fis-5061	49	1	[	[	X
fis-5061	49	2	20	20	NUM
fis-5061	49	3	]	]	PUNCT
fis-5061	49	4	.	.	PUNCT
fis-5061	50	1	the	the	DET
fis-5061	50	2	ann	ann	PROPN
fis-5061	50	3	model	model	NOUN
fis-5061	50	4	,	,	PUNCT
fis-5061	50	5	which	which	PRON
fis-5061	50	6	makes	make	VERB
fis-5061	50	7	use	use	NOUN
fis-5061	50	8	of	of	ADP
fis-5061	50	9	a	a	DET
fis-5061	50	10	back	back	ADJ
fis-5061	50	11	-	-	PUNCT
fis-5061	50	12	propagation	propagation	NOUN
fis-5061	50	13	neural	neural	ADJ
fis-5061	50	14	network	network	NOUN
fis-5061	50	15	(	(	PUNCT
fis-5061	50	16	bpnn	bpnn	NOUN
fis-5061	50	17	)	)	PUNCT
fis-5061	50	18	,	,	PUNCT
fis-5061	50	19	showed	show	VERB
fis-5061	50	20	excellent	excellent	ADJ
fis-5061	50	21	prediction	prediction	NOUN
fis-5061	50	22	accuracy	accuracy	NOUN
fis-5061	50	23	.	.	PUNCT
fis-5061	51	1	overall	overall	ADV
fis-5061	51	2	,	,	PUNCT
fis-5061	51	3	the	the	DET
fis-5061	51	4	use	use	NOUN
fis-5061	51	5	of	of	ADP
fis-5061	51	6	ann	ann	PROPN
fis-5061	51	7	has	have	AUX
fis-5061	51	8	shown	show	VERB
fis-5061	51	9	promising	promising	ADJ
fis-5061	51	10	results	result	NOUN
fis-5061	51	11	in	in	ADP
fis-5061	51	12	predicting	predict	VERB
fis-5061	51	13	and	and	CCONJ
fis-5061	51	14	optimizing	optimize	VERB
fis-5061	51	15	machining	machining	NOUN
fis-5061	51	16	parameters	parameter	NOUN
fis-5061	51	17	.	.	PUNCT
fis-5061	52	1	this	this	DET
fis-5061	52	2	approach	approach	NOUN
fis-5061	52	3	can	can	AUX
fis-5061	52	4	lead	lead	VERB
fis-5061	52	5	to	to	ADP
fis-5061	52	6	improved	improved	ADJ
fis-5061	52	7	efficiency	efficiency	NOUN
fis-5061	52	8	and	and	CCONJ
fis-5061	52	9	accuracy	accuracy	NOUN
fis-5061	52	10	in	in	ADP
fis-5061	52	11	achieving	achieve	VERB
fis-5061	52	12	desired	desire	VERB
fis-5061	52	13	outcomes	outcome	NOUN
fis-5061	53	1	[	[	X
fis-5061	53	2	21–24	21–24	NUM
fis-5061	53	3	]	]	X
fis-5061	53	4	.	.	PUNCT
fis-5061	54	1	a	a	DET
fis-5061	54	2	group	group	NOUN
fis-5061	54	3	of	of	ADP
fis-5061	54	4	researchers	researcher	NOUN
fis-5061	54	5	developed	develop	VERB
fis-5061	54	6	rsm	rsm	PROPN
fis-5061	54	7	,	,	PUNCT
fis-5061	54	8	ann	ann	PROPN
fis-5061	54	9	,	,	PUNCT
fis-5061	54	10	anfis	anfis	ADJ
fis-5061	54	11	,	,	PUNCT
fis-5061	54	12	and	and	CCONJ
fis-5061	54	13	gep	gep	NOUN
fis-5061	54	14	models	model	NOUN
fis-5061	54	15	for	for	ADP
fis-5061	54	16	precise	precise	ADJ
fis-5061	54	17	prediction	prediction	NOUN
fis-5061	54	18	of	of	ADP
fis-5061	54	19	responses	response	NOUN
fis-5061	54	20	during	during	ADP
fis-5061	54	21	the	the	DET
fis-5061	54	22	machining	machining	NOUN
fis-5061	54	23	of	of	ADP
fis-5061	54	24	nickel	nickel	NOUN
fis-5061	54	25	alloys	alloy	NOUN
fis-5061	54	26	.	.	PUNCT
fis-5061	55	1	researchers	researcher	NOUN
fis-5061	55	2	found	find	VERB
fis-5061	55	3	that	that	SCONJ
fis-5061	55	4	gep	gep	PROPN
fis-5061	55	5	emerged	emerge	VERB
fis-5061	55	6	to	to	PART
fis-5061	55	7	be	be	AUX
fis-5061	55	8	superior	superior	ADJ
fis-5061	55	9	to	to	ADP
fis-5061	55	10	ann	ann	PROPN
fis-5061	55	11	,	,	PUNCT
fis-5061	55	12	some	some	DET
fis-5061	55	13	observed	observe	VERB
fis-5061	55	14	better	well	ADJ
fis-5061	55	15	prediction	prediction	NOUN
fis-5061	55	16	using	use	VERB
fis-5061	55	17	anfis	anfis	PROPN
fis-5061	55	18	,	,	PUNCT
fis-5061	55	19	and	and	CCONJ
fis-5061	55	20	some	some	DET
fis-5061	55	21	studies	study	NOUN
fis-5061	55	22	found	find	VERB
fis-5061	55	23	that	that	SCONJ
fis-5061	55	24	ann	ann	PROPN
fis-5061	55	25	and	and	CCONJ
fis-5061	55	26	anfis	anfis	PROPN
fis-5061	55	27	outperformed	outperform	VERB
fis-5061	55	28	rsm	rsm	PROPN
fis-5061	56	1	[	[	X
fis-5061	56	2	25–29	25–29	NOUN
fis-5061	56	3	]	]	X
fis-5061	56	4	.	.	PUNCT
fis-5061	57	1	some	some	DET
fis-5061	57	2	studies	study	NOUN
fis-5061	57	3	reported	report	VERB
fis-5061	57	4	better	well	ADV
fis-5061	57	5	predicting	predict	VERB
fis-5061	57	6	accuracy	accuracy	NOUN
fis-5061	57	7	by	by	ADP
fis-5061	57	8	ann	ann	PROPN
fis-5061	57	9	than	than	SCONJ
fis-5061	57	10	anfis	anfis	PROPN
fis-5061	57	11	[	[	X
fis-5061	57	12	30	30	NUM
fis-5061	57	13	]	]	PUNCT
fis-5061	57	14	.	.	PUNCT
fis-5061	58	1	overall	overall	ADV
fis-5061	58	2	,	,	PUNCT
fis-5061	58	3	the	the	DET
fis-5061	58	4	comparison	comparison	NOUN
fis-5061	58	5	of	of	ADP
fis-5061	58	6	these	these	DET
fis-5061	58	7	models	model	NOUN
fis-5061	58	8	showed	show	VERB
fis-5061	58	9	that	that	SCONJ
fis-5061	58	10	each	each	PRON
fis-5061	58	11	had	have	VERB
fis-5061	58	12	its	its	PRON
fis-5061	58	13	strengths	strength	NOUN
fis-5061	58	14	p.	p.	PROPN
fis-5061	58	15	kulkarni	kulkarni	PROPN
fis-5061	58	16	et	et	PROPN
fis-5061	58	17	alii	alii	PROPN
fis-5061	58	18	,	,	PUNCT
fis-5061	58	19	frattura	frattura	PROPN
fis-5061	58	20	ed	ed	PROPN
fis-5061	58	21	integrità	integrità	PROPN
fis-5061	58	22	strutturale	strutturale	PROPN
fis-5061	58	23	,	,	PUNCT
fis-5061	58	24	70	70	NUM
fis-5061	58	25	(	(	PUNCT
fis-5061	58	26	2024	2024	NUM
fis-5061	58	27	)	)	PUNCT
fis-5061	58	28	71	71	NUM
fis-5061	58	29	-	-	SYM
fis-5061	58	30	90	90	NUM
fis-5061	58	31	;	;	PUNCT
fis-5061	58	32	doi	doi	NOUN
fis-5061	58	33	:	:	PUNCT
fis-5061	58	34	10.3221	10.3221	NUM
fis-5061	58	35	/	/	SYM
fis-5061	58	36	igf	igf	PROPN
fis-5061	58	37	-	-	PROPN
fis-5061	58	38	esis.70.04	esis.70.04	PROPN
fis-5061	58	39	73	73	NUM
fis-5061	58	40	and	and	CCONJ
fis-5061	58	41	weaknesses	weakness	NOUN
fis-5061	58	42	in	in	ADP
fis-5061	58	43	predicting	predict	VERB
fis-5061	58	44	responses	response	NOUN
fis-5061	58	45	during	during	ADP
fis-5061	58	46	the	the	DET
fis-5061	58	47	machining	machining	NOUN
fis-5061	58	48	of	of	ADP
fis-5061	58	49	nickel	nickel	NOUN
fis-5061	58	50	alloys	alloy	NOUN
fis-5061	58	51	.	.	PUNCT
fis-5061	59	1	the	the	DET
fis-5061	59	2	choice	choice	NOUN
fis-5061	59	3	of	of	ADP
fis-5061	59	4	model	model	NOUN
fis-5061	59	5	may	may	AUX
fis-5061	59	6	depend	depend	VERB
fis-5061	59	7	on	on	ADP
fis-5061	59	8	the	the	DET
fis-5061	59	9	specific	specific	ADJ
fis-5061	59	10	requirements	requirement	NOUN
fis-5061	59	11	and	and	CCONJ
fis-5061	59	12	characteristics	characteristic	NOUN
fis-5061	59	13	of	of	ADP
fis-5061	59	14	the	the	DET
fis-5061	59	15	machining	machining	NOUN
fis-5061	59	16	process	process	NOUN
fis-5061	59	17	being	be	AUX
fis-5061	59	18	studied	study	VERB
fis-5061	59	19	.	.	PUNCT
fis-5061	60	1	from	from	ADP
fis-5061	60	2	the	the	DET
fis-5061	60	3	literature	literature	NOUN
fis-5061	60	4	review	review	NOUN
fis-5061	60	5	,	,	PUNCT
fis-5061	60	6	it	it	PRON
fis-5061	60	7	has	have	AUX
fis-5061	60	8	been	be	AUX
fis-5061	60	9	observed	observe	VERB
fis-5061	60	10	that	that	SCONJ
fis-5061	60	11	ann	ann	PROPN
fis-5061	60	12	and	and	CCONJ
fis-5061	60	13	anfis	anfis	PROPN
fis-5061	60	14	,	,	PUNCT
fis-5061	60	15	being	be	AUX
fis-5061	60	16	popular	popular	ADJ
fis-5061	60	17	machine	machine	NOUN
fis-5061	60	18	learning	learn	VERB
fis-5061	60	19	techniques	technique	NOUN
fis-5061	60	20	,	,	PUNCT
fis-5061	60	21	were	be	AUX
fis-5061	60	22	mostly	mostly	ADV
fis-5061	60	23	used	use	VERB
fis-5061	60	24	to	to	PART
fis-5061	60	25	predict	predict	VERB
fis-5061	60	26	machining	machining	NOUN
fis-5061	60	27	performance	performance	NOUN
fis-5061	60	28	because	because	SCONJ
fis-5061	60	29	of	of	ADP
fis-5061	60	30	their	their	PRON
fis-5061	60	31	ability	ability	NOUN
fis-5061	60	32	to	to	PART
fis-5061	60	33	handle	handle	VERB
fis-5061	60	34	complex	complex	ADJ
fis-5061	60	35	and	and	CCONJ
fis-5061	60	36	non	non	ADJ
fis-5061	60	37	-	-	ADJ
fis-5061	60	38	linear	linear	ADJ
fis-5061	60	39	relationships	relationship	NOUN
fis-5061	60	40	in	in	ADP
fis-5061	60	41	data	datum	NOUN
fis-5061	60	42	.	.	PUNCT
fis-5061	61	1	however	however	ADV
fis-5061	61	2	,	,	PUNCT
fis-5061	61	3	very	very	ADV
fis-5061	61	4	few	few	ADJ
fis-5061	61	5	attempts	attempt	NOUN
fis-5061	61	6	have	have	AUX
fis-5061	61	7	been	be	AUX
fis-5061	61	8	observed	observe	VERB
fis-5061	61	9	to	to	PART
fis-5061	61	10	model	model	VERB
fis-5061	61	11	the	the	DET
fis-5061	61	12	turning	turn	VERB
fis-5061	61	13	performance	performance	NOUN
fis-5061	61	14	of	of	ADP
fis-5061	61	15	inconel	inconel	NOUN
fis-5061	61	16	718	718	NUM
fis-5061	61	17	with	with	ADP
fis-5061	61	18	hybrid	hybrid	ADJ
fis-5061	61	19	nanofluid	nanofluid	NOUN
fis-5061	61	20	under	under	ADP
fis-5061	61	21	mql	mql	PROPN
fis-5061	61	22	.	.	PUNCT
fis-5061	62	1	with	with	ADP
fis-5061	62	2	this	this	DET
fis-5061	62	3	view	view	NOUN
fis-5061	62	4	,	,	PUNCT
fis-5061	62	5	this	this	DET
fis-5061	62	6	study	study	NOUN
fis-5061	62	7	develops	develop	VERB
fis-5061	62	8	ann	ann	PROPN
fis-5061	62	9	and	and	CCONJ
fis-5061	62	10	anfis	anfis	VERB
fis-5061	62	11	models	model	NOUN
fis-5061	62	12	for	for	ADP
fis-5061	62	13	cutting	cut	VERB
fis-5061	62	14	force	force	NOUN
fis-5061	62	15	,	,	PUNCT
fis-5061	62	16	surface	surface	NOUN
fis-5061	62	17	roughness	roughness	NOUN
fis-5061	62	18	,	,	PUNCT
fis-5061	62	19	and	and	CCONJ
fis-5061	62	20	tool	tool	NOUN
fis-5061	62	21	life	life	NOUN
fis-5061	62	22	during	during	ADP
fis-5061	62	23	the	the	DET
fis-5061	62	24	turning	turning	NOUN
fis-5061	62	25	of	of	ADP
fis-5061	62	26	inconel	inconel	NOUN
fis-5061	62	27	718	718	NUM
fis-5061	62	28	with	with	ADP
fis-5061	62	29	hybrid	hybrid	ADJ
fis-5061	62	30	nanofluid	nanofluid	NOUN
fis-5061	62	31	under	under	ADP
fis-5061	62	32	mql	mql	PROPN
fis-5061	62	33	.	.	PUNCT
fis-5061	63	1	hybrid	hybrid	PROPN
fis-5061	63	2	nanofluid	nanofluid	PROPN
fis-5061	63	3	was	be	AUX
fis-5061	63	4	prepared	prepare	VERB
fis-5061	63	5	by	by	ADP
fis-5061	63	6	mixing	mix	VERB
fis-5061	63	7	aluminum	aluminum	NOUN
fis-5061	63	8	oxide	oxide	NOUN
fis-5061	63	9	(	(	PUNCT
fis-5061	63	10	al2o3	al2o3	NOUN
fis-5061	63	11	)	)	PUNCT
fis-5061	63	12	and	and	CCONJ
fis-5061	63	13	multi	multi	ADJ
fis-5061	63	14	-	-	ADJ
fis-5061	63	15	walled	walled	ADJ
fis-5061	63	16	carbon	carbon	NOUN
fis-5061	63	17	nanotubes	nanotube	NOUN
fis-5061	63	18	(	(	PUNCT
fis-5061	63	19	mwcnts	mwcnt	NOUN
fis-5061	63	20	)	)	PUNCT
fis-5061	63	21	at	at	ADP
fis-5061	63	22	constant	constant	ADJ
fis-5061	63	23	proportions	proportion	NOUN
fis-5061	63	24	in	in	ADP
fis-5061	63	25	vegetable	vegetable	NOUN
fis-5061	63	26	-	-	PUNCT
fis-5061	63	27	based	base	VERB
fis-5061	63	28	palm	palm	NOUN
fis-5061	63	29	oil	oil	NOUN
fis-5061	63	30	.	.	PUNCT
fis-5061	64	1	the	the	DET
fis-5061	64	2	worn	wear	VERB
fis-5061	64	3	-	-	PUNCT
fis-5061	64	4	out	out	ADP
fis-5061	64	5	tools	tool	NOUN
fis-5061	64	6	were	be	AUX
fis-5061	64	7	analyzed	analyze	VERB
fis-5061	64	8	through	through	ADP
fis-5061	64	9	images	image	NOUN
fis-5061	64	10	captured	capture	VERB
fis-5061	64	11	using	use	VERB
fis-5061	64	12	optical	optical	ADJ
fis-5061	64	13	and	and	CCONJ
fis-5061	64	14	scanning	scan	VERB
fis-5061	64	15	electron	electron	NOUN
fis-5061	64	16	microscopes	microscope	NOUN
fis-5061	64	17	.	.	PUNCT
fis-5061	65	1	this	this	DET
fis-5061	65	2	investigation	investigation	NOUN
fis-5061	65	3	aims	aim	VERB
fis-5061	65	4	to	to	PART
fis-5061	65	5	evaluate	evaluate	VERB
fis-5061	65	6	the	the	DET
fis-5061	65	7	effectiveness	effectiveness	NOUN
fis-5061	65	8	of	of	ADP
fis-5061	65	9	ann	ann	PROPN
fis-5061	65	10	and	and	CCONJ
fis-5061	65	11	anfis	anfis	PROPN
fis-5061	65	12	models	model	NOUN
fis-5061	65	13	in	in	ADP
fis-5061	65	14	predicting	predict	VERB
fis-5061	65	15	the	the	DET
fis-5061	65	16	machining	machining	NOUN
fis-5061	65	17	process	process	NOUN
fis-5061	65	18	.	.	PUNCT
fis-5061	66	1	by	by	ADP
fis-5061	66	2	comparing	compare	VERB
fis-5061	66	3	the	the	DET
fis-5061	66	4	performance	performance	NOUN
fis-5061	66	5	of	of	ADP
fis-5061	66	6	these	these	DET
fis-5061	66	7	models	model	NOUN
fis-5061	66	8	in	in	ADP
fis-5061	66	9	predicting	predict	VERB
fis-5061	66	10	machining	machining	NOUN
fis-5061	66	11	outcomes	outcome	NOUN
fis-5061	66	12	,	,	PUNCT
fis-5061	66	13	this	this	DET
fis-5061	66	14	study	study	NOUN
fis-5061	66	15	seeks	seek	VERB
fis-5061	66	16	to	to	PART
fis-5061	66	17	provide	provide	VERB
fis-5061	66	18	valuable	valuable	ADJ
fis-5061	66	19	insights	insight	NOUN
fis-5061	66	20	for	for	ADP
fis-5061	66	21	improving	improve	VERB
fis-5061	66	22	process	process	NOUN
fis-5061	66	23	efficiency	efficiency	NOUN
fis-5061	66	24	and	and	CCONJ
fis-5061	66	25	accuracy	accuracy	NOUN
fis-5061	66	26	.	.	PUNCT
fis-5061	67	1	methodology	methodology	NOUN
fis-5061	67	2	n	n	CCONJ
fis-5061	67	3	this	this	DET
fis-5061	67	4	section	section	NOUN
fis-5061	67	5	,	,	PUNCT
fis-5061	67	6	experimental	experimental	ADJ
fis-5061	67	7	details	detail	NOUN
fis-5061	67	8	to	to	PART
fis-5061	67	9	develop	develop	VERB
fis-5061	67	10	predictive	predictive	ADJ
fis-5061	67	11	ann	ann	PROPN
fis-5061	67	12	and	and	CCONJ
fis-5061	67	13	anfis	anfis	PROPN
fis-5061	67	14	models	model	NOUN
fis-5061	67	15	for	for	ADP
fis-5061	67	16	cutting	cut	VERB
fis-5061	67	17	force	force	NOUN
fis-5061	67	18	,	,	PUNCT
fis-5061	67	19	surface	surface	NOUN
fis-5061	67	20	roughness	roughness	NOUN
fis-5061	67	21	,	,	PUNCT
fis-5061	67	22	and	and	CCONJ
fis-5061	67	23	tool	tool	NOUN
fis-5061	67	24	life	life	NOUN
fis-5061	67	25	during	during	ADP
fis-5061	67	26	the	the	DET
fis-5061	67	27	turning	turning	NOUN
fis-5061	67	28	of	of	ADP
fis-5061	67	29	inconel	inconel	NOUN
fis-5061	67	30	718	718	NUM
fis-5061	67	31	with	with	ADP
fis-5061	67	32	hybrid	hybrid	ADJ
fis-5061	67	33	nanofluid	nanofluid	NOUN
fis-5061	67	34	under	under	ADP
fis-5061	67	35	mql	mql	NOUN
fis-5061	67	36	are	be	AUX
fis-5061	67	37	presented	present	VERB
fis-5061	67	38	.	.	PUNCT
fis-5061	68	1	the	the	DET
fis-5061	68	2	preparation	preparation	NOUN
fis-5061	68	3	of	of	ADP
fis-5061	68	4	a	a	DET
fis-5061	68	5	hybrid	hybrid	ADJ
fis-5061	68	6	nanofluid	nanofluid	NOUN
fis-5061	68	7	,	,	PUNCT
fis-5061	68	8	its	its	PRON
fis-5061	68	9	properties	property	NOUN
fis-5061	68	10	,	,	PUNCT
fis-5061	68	11	and	and	CCONJ
fis-5061	68	12	machining	machining	NOUN
fis-5061	68	13	and	and	CCONJ
fis-5061	68	14	mql	mql	NOUN
fis-5061	68	15	parameters	parameter	NOUN
fis-5061	68	16	are	be	AUX
fis-5061	68	17	discussed	discuss	VERB
fis-5061	68	18	.	.	PUNCT
fis-5061	69	1	further	far	ADV
fis-5061	69	2	,	,	PUNCT
fis-5061	69	3	methodology	methodology	NOUN
fis-5061	69	4	to	to	PART
fis-5061	69	5	develop	develop	VERB
fis-5061	69	6	ann	ann	PROPN
fis-5061	69	7	and	and	CCONJ
fis-5061	69	8	anfis	anfis	PROPN
fis-5061	69	9	models	model	NOUN
fis-5061	69	10	is	be	AUX
fis-5061	69	11	presented	present	VERB
fis-5061	69	12	.	.	PUNCT
fis-5061	70	1	experimental	experimental	ADJ
fis-5061	70	2	details	detail	NOUN
fis-5061	70	3	the	the	DET
fis-5061	70	4	inconel	inconel	ADJ
fis-5061	70	5	718	718	NUM
fis-5061	70	6	cylindrical	cylindrical	ADJ
fis-5061	70	7	bar	bar	NOUN
fis-5061	70	8	,	,	PUNCT
fis-5061	70	9	400	400	NUM
fis-5061	70	10	mm	mm	NOUN
fis-5061	70	11	in	in	ADP
fis-5061	70	12	length	length	NOUN
fis-5061	70	13	and	and	CCONJ
fis-5061	70	14	70	70	NUM
fis-5061	70	15	mm	mm	NOUN
fis-5061	70	16	in	in	ADP
fis-5061	70	17	diameter	diameter	NOUN
fis-5061	70	18	,	,	PUNCT
fis-5061	70	19	was	be	AUX
fis-5061	70	20	used	use	VERB
fis-5061	70	21	as	as	ADP
fis-5061	70	22	the	the	DET
fis-5061	70	23	specimen	speciman	NOUN
fis-5061	70	24	for	for	ADP
fis-5061	70	25	the	the	DET
fis-5061	70	26	turning	turning	NOUN
fis-5061	70	27	with	with	ADP
fis-5061	70	28	an	an	DET
fis-5061	70	29	altin	altin	ADJ
fis-5061	70	30	-	-	PUNCT
fis-5061	70	31	coated	coat	VERB
fis-5061	70	32	cnmg120408ms	cnmg120408m	NOUN
fis-5061	70	33	carbide	carbide	NOUN
fis-5061	70	34	cutting	cutting	NOUN
fis-5061	70	35	insert	insert	NOUN
fis-5061	70	36	.	.	PUNCT
fis-5061	71	1	a	a	DET
fis-5061	71	2	robust	robust	ADJ
fis-5061	71	3	and	and	CCONJ
fis-5061	71	4	accurate	accurate	ADJ
fis-5061	71	5	cnc	cnc	PROPN
fis-5061	71	6	lathe	lathe	PROPN
fis-5061	71	7	machine	machine	NOUN
fis-5061	71	8	was	be	AUX
fis-5061	71	9	used	use	VERB
fis-5061	71	10	to	to	PART
fis-5061	71	11	conduct	conduct	VERB
fis-5061	71	12	cutting	cut	VERB
fis-5061	71	13	tests	test	NOUN
fis-5061	71	14	,	,	PUNCT
fis-5061	71	15	maintaining	maintain	VERB
fis-5061	71	16	constant	constant	ADJ
fis-5061	71	17	tool	tool	NOUN
fis-5061	71	18	height	height	NOUN
fis-5061	71	19	,	,	PUNCT
fis-5061	71	20	overhang	overhang	NOUN
fis-5061	71	21	,	,	PUNCT
fis-5061	71	22	and	and	CCONJ
fis-5061	71	23	geometry	geometry	NOUN
fis-5061	71	24	throughout	throughout	ADP
fis-5061	71	25	the	the	DET
fis-5061	71	26	turning	turn	VERB
fis-5061	71	27	process	process	NOUN
fis-5061	71	28	(	(	PUNCT
fis-5061	71	29	fig	fig	NOUN
fis-5061	71	30	.	.	PUNCT
fis-5061	72	1	1	1	NUM
fis-5061	72	2	)	)	PUNCT
fis-5061	72	3	.	.	PUNCT
fis-5061	73	1	figure	figure	VERB
fis-5061	73	2	1	1	NUM
fis-5061	73	3	:	:	PUNCT
fis-5061	73	4	experimental	experimental	ADJ
fis-5061	73	5	set	set	NOUN
fis-5061	73	6	-	-	PUNCT
fis-5061	73	7	up	up	NOUN
fis-5061	73	8	.	.	PUNCT
fis-5061	74	1	a	a	DET
fis-5061	74	2	pcbnr2525m12	pcbnr2525m12	NOUN
fis-5061	74	3	iso	iso	NOUN
fis-5061	74	4	-	-	PUNCT
fis-5061	74	5	coded	code	VERB
fis-5061	74	6	tool	tool	NOUN
fis-5061	74	7	holder	holder	NOUN
fis-5061	74	8	was	be	AUX
fis-5061	74	9	utilized	utilize	VERB
fis-5061	74	10	throughout	throughout	ADP
fis-5061	74	11	the	the	DET
fis-5061	74	12	turning	turning	NOUN
fis-5061	74	13	process	process	NOUN
fis-5061	74	14	.	.	PUNCT
fis-5061	75	1	during	during	ADP
fis-5061	75	2	the	the	DET
fis-5061	75	3	cutting	cutting	NOUN
fis-5061	75	4	process	process	NOUN
fis-5061	75	5	,	,	PUNCT
fis-5061	75	6	a	a	DET
fis-5061	75	7	nanoparticle	nanoparticle	NOUN
fis-5061	75	8	-	-	PUNCT
fis-5061	75	9	based	base	VERB
fis-5061	75	10	mql	mql	NOUN
fis-5061	75	11	environment	environment	NOUN
fis-5061	75	12	was	be	AUX
fis-5061	75	13	applied	apply	VERB
fis-5061	75	14	.	.	PUNCT
fis-5061	76	1	to	to	PART
fis-5061	76	2	create	create	VERB
fis-5061	76	3	the	the	DET
fis-5061	76	4	hybrid	hybrid	ADJ
fis-5061	76	5	nanofluid	nanofluid	NOUN
fis-5061	76	6	,	,	PUNCT
fis-5061	76	7	mwcnts	mwcnt	NOUN
fis-5061	76	8	and	and	CCONJ
fis-5061	76	9	al2o3	al2o3	PROPN
fis-5061	76	10	nanoparticles	nanoparticle	NOUN
fis-5061	76	11	were	be	AUX
fis-5061	76	12	mixed	mix	VERB
fis-5061	76	13	with	with	ADP
fis-5061	76	14	50–50	50–50	NUM
fis-5061	76	15	%	%	NOUN
fis-5061	76	16	vegetable	vegetable	NOUN
fis-5061	76	17	-	-	PUNCT
fis-5061	76	18	based	base	VERB
fis-5061	76	19	palm	palm	NOUN
fis-5061	76	20	oil	oil	NOUN
fis-5061	76	21	.	.	PUNCT
fis-5061	77	1	a	a	DET
fis-5061	77	2	typical	typical	ADJ
fis-5061	77	3	two	two	NUM
fis-5061	77	4	-	-	PUNCT
fis-5061	77	5	step	step	NOUN
fis-5061	77	6	procedure	procedure	NOUN
fis-5061	77	7	was	be	AUX
fis-5061	77	8	used	use	VERB
fis-5061	77	9	to	to	PART
fis-5061	77	10	create	create	VERB
fis-5061	77	11	a	a	DET
fis-5061	77	12	nanofluid	nanofluid	NOUN
fis-5061	77	13	.	.	PUNCT
fis-5061	78	1	the	the	DET
fis-5061	78	2	nanofluid	nanofluid	PROPN
fis-5061	78	3	was	be	AUX
fis-5061	78	4	mechanically	mechanically	ADV
fis-5061	78	5	stirred	stir	VERB
fis-5061	78	6	for	for	ADP
fis-5061	78	7	20	20	NUM
fis-5061	78	8	minutes	minute	NOUN
fis-5061	78	9	at	at	ADP
fis-5061	78	10	700	700	NUM
fis-5061	78	11	rpm	rpm	NOUN
fis-5061	78	12	to	to	PART
fis-5061	78	13	ensure	ensure	VERB
fis-5061	78	14	homogeneity	homogeneity	NOUN
fis-5061	78	15	,	,	PUNCT
fis-5061	78	16	followed	follow	VERB
fis-5061	78	17	by	by	ADP
fis-5061	78	18	probe	probe	NOUN
fis-5061	78	19	sonication	sonication	NOUN
fis-5061	78	20	for	for	ADP
fis-5061	78	21	30	30	NUM
fis-5061	78	22	minutes	minute	NOUN
fis-5061	78	23	at	at	ADP
fis-5061	78	24	50	50	NUM
fis-5061	78	25	khz	khz	NOUN
fis-5061	78	26	to	to	PART
fis-5061	78	27	dilute	dilute	VERB
fis-5061	78	28	and	and	CCONJ
fis-5061	78	29	stir	stir	VERB
fis-5061	78	30	the	the	DET
fis-5061	78	31	nanoparticles	nanoparticle	NOUN
fis-5061	78	32	.	.	PUNCT
fis-5061	79	1	to	to	PART
fis-5061	79	2	obtain	obtain	VERB
fis-5061	79	3	further	further	ADJ
fis-5061	79	4	homogeneity	homogeneity	NOUN
fis-5061	79	5	and	and	CCONJ
fis-5061	79	6	avoid	avoid	VERB
fis-5061	79	7	sedimentation	sedimentation	NOUN
fis-5061	79	8	,	,	PUNCT
fis-5061	79	9	the	the	DET
fis-5061	79	10	nanofluid	nanofluid	ADJ
fis-5061	79	11	underwent	underwent	NOUN
fis-5061	79	12	magnetic	magnetic	ADJ
fis-5061	79	13	stirring	stirring	NOUN
fis-5061	79	14	for	for	ADP
fis-5061	79	15	20	20	NUM
fis-5061	79	16	minutes	minute	NOUN
fis-5061	79	17	at	at	ADP
fis-5061	79	18	500	500	NUM
fis-5061	79	19	rpm	rpm	NOUN
fis-5061	79	20	to	to	PART
fis-5061	79	21	ensure	ensure	VERB
fis-5061	79	22	homogeneity	homogeneity	NOUN
fis-5061	79	23	and	and	CCONJ
fis-5061	79	24	prevent	prevent	VERB
fis-5061	79	25	sedimentation	sedimentation	NOUN
fis-5061	79	26	,	,	PUNCT
fis-5061	79	27	followed	follow	VERB
fis-5061	79	28	by	by	ADP
fis-5061	79	29	settling	settle	VERB
fis-5061	79	30	for	for	ADP
fis-5061	79	31	10	10	NUM
fis-5061	79	32	minutes	minute	NOUN
fis-5061	79	33	to	to	PART
fis-5061	79	34	eliminate	eliminate	VERB
fis-5061	79	35	any	any	DET
fis-5061	79	36	remaining	remain	VERB
fis-5061	79	37	air	air	NOUN
fis-5061	79	38	bubbles	bubble	NOUN
fis-5061	79	39	.	.	PUNCT
fis-5061	80	1	naphthyl	naphthyl	PROPN
fis-5061	80	2	sulfate	sulfate	NOUN
fis-5061	80	3	was	be	AUX
fis-5061	80	4	utilized	utilize	VERB
fis-5061	80	5	as	as	ADP
fis-5061	80	6	a	a	DET
fis-5061	80	7	surfactant	surfactant	NOUN
fis-5061	80	8	to	to	PART
fis-5061	80	9	enhance	enhance	VERB
fis-5061	80	10	nanofluid	nanofluid	ADJ
fis-5061	80	11	dispersion	dispersion	NOUN
fis-5061	80	12	and	and	CCONJ
fis-5061	80	13	stability	stability	NOUN
fis-5061	80	14	,	,	PUNCT
fis-5061	80	15	reducing	reduce	VERB
fis-5061	80	16	agglomeration	agglomeration	NOUN
fis-5061	80	17	and	and	CCONJ
fis-5061	80	18	preventing	prevent	VERB
fis-5061	80	19	nanoparticles	nanoparticle	NOUN
fis-5061	80	20	from	from	ADP
fis-5061	80	21	settling	settle	VERB
fis-5061	80	22	over	over	ADP
fis-5061	80	23	time	time	NOUN
fis-5061	80	24	.	.	PUNCT
fis-5061	81	1	more	more	ADJ
fis-5061	81	2	details	detail	NOUN
fis-5061	81	3	about	about	ADP
fis-5061	81	4	the	the	DET
fis-5061	81	5	typical	typical	ADJ
fis-5061	81	6	standard	standard	ADJ
fis-5061	81	7	two	two	NUM
fis-5061	81	8	-	-	PUNCT
fis-5061	81	9	step	step	NOUN
fis-5061	81	10	method	method	NOUN
fis-5061	81	11	utilized	utilize	VERB
fis-5061	81	12	for	for	ADP
fis-5061	81	13	the	the	DET
fis-5061	81	14	preparation	preparation	NOUN
fis-5061	81	15	of	of	ADP
fis-5061	81	16	nanofluids	nanofluid	NOUN
fis-5061	81	17	can	can	AUX
fis-5061	81	18	be	be	AUX
fis-5061	81	19	found	find	VERB
fis-5061	81	20	in	in	ADP
fis-5061	81	21	[	[	X
fis-5061	81	22	31–32	31–32	NUM
fis-5061	81	23	]	]	PUNCT
fis-5061	81	24	.	.	PUNCT
fis-5061	82	1	mwcnts	mwcnt	NOUN
fis-5061	82	2	were	be	AUX
fis-5061	82	3	chosen	choose	VERB
fis-5061	82	4	for	for	ADP
fis-5061	82	5	their	their	PRON
fis-5061	82	6	outstanding	outstanding	ADJ
fis-5061	82	7	cooling	cooling	NOUN
fis-5061	82	8	and	and	CCONJ
fis-5061	82	9	lubricating	lubricate	VERB
fis-5061	82	10	capacity	capacity	NOUN
fis-5061	82	11	,	,	PUNCT
fis-5061	82	12	while	while	SCONJ
fis-5061	82	13	al2o3	al2o3	PROPN
fis-5061	82	14	was	be	AUX
fis-5061	82	15	chosen	choose	VERB
fis-5061	82	16	for	for	ADP
fis-5061	82	17	its	its	PRON
fis-5061	82	18	better	well	ADJ
fis-5061	82	19	thermal	thermal	NOUN
fis-5061	82	20	i	i	PRON
fis-5061	82	21	p.	p.	NOUN
fis-5061	82	22	kulkarni	kulkarni	PROPN
fis-5061	82	23	et	et	PROPN
fis-5061	82	24	alii	alii	PROPN
fis-5061	82	25	,	,	PUNCT
fis-5061	82	26	frattura	frattura	PROPN
fis-5061	82	27	ed	ed	PROPN
fis-5061	82	28	integrità	integrità	PROPN
fis-5061	82	29	strutturale	strutturale	PROPN
fis-5061	82	30	,	,	PUNCT
fis-5061	82	31	70	70	NUM
fis-5061	82	32	(	(	PUNCT
fis-5061	82	33	2024	2024	NUM
fis-5061	82	34	)	)	PUNCT
fis-5061	82	35	71	71	NUM
fis-5061	82	36	-	-	SYM
fis-5061	82	37	90	90	NUM
fis-5061	82	38	;	;	PUNCT
fis-5061	82	39	doi	doi	NOUN
fis-5061	82	40	:	:	PUNCT
fis-5061	82	41	10.3221	10.3221	NUM
fis-5061	82	42	/	/	SYM
fis-5061	82	43	igf	igf	PROPN
fis-5061	82	44	-	-	PROPN
fis-5061	82	45	esis.70.04	esis.70.04	PROPN
fis-5061	82	46	74	74	NUM
fis-5061	82	47	conductivity	conductivity	NOUN
fis-5061	82	48	and	and	CCONJ
fis-5061	82	49	excellent	excellent	ADJ
fis-5061	82	50	wetting	wetting	NOUN
fis-5061	82	51	effectiveness	effectiveness	NOUN
fis-5061	82	52	.	.	PUNCT
fis-5061	83	1	the	the	DET
fis-5061	83	2	hybrid	hybrid	ADJ
fis-5061	83	3	form	form	NOUN
fis-5061	83	4	will	will	AUX
fis-5061	83	5	have	have	VERB
fis-5061	83	6	a	a	DET
fis-5061	83	7	synergistic	synergistic	ADJ
fis-5061	83	8	impact	impact	NOUN
fis-5061	83	9	between	between	ADP
fis-5061	83	10	the	the	DET
fis-5061	83	11	specific	specific	ADJ
fis-5061	83	12	characteristics	characteristic	NOUN
fis-5061	83	13	of	of	ADP
fis-5061	83	14	mwcnts	mwcnt	NOUN
fis-5061	83	15	and	and	CCONJ
fis-5061	83	16	al2o3	al2o3	PROPN
fis-5061	83	17	.	.	PUNCT
fis-5061	84	1	the	the	DET
fis-5061	84	2	measured	measured	ADJ
fis-5061	84	3	characteristics	characteristic	NOUN
fis-5061	84	4	of	of	ADP
fis-5061	84	5	hybrid	hybrid	ADJ
fis-5061	84	6	nanofluid	nanofluid	NOUN
fis-5061	84	7	are	be	AUX
fis-5061	84	8	depicted	depict	VERB
fis-5061	84	9	in	in	ADP
fis-5061	84	10	tab	tab	NOUN
fis-5061	84	11	.	.	PUNCT
fis-5061	85	1	1	1	X
fis-5061	85	2	.	.	X
fis-5061	86	1	the	the	DET
fis-5061	86	2	hybrid	hybrid	ADJ
fis-5061	86	3	nanofluid	nanofluid	PROPN
fis-5061	86	4	exhibits	exhibit	VERB
fis-5061	86	5	enhanced	enhance	VERB
fis-5061	86	6	thermal	thermal	ADJ
fis-5061	86	7	conductivity	conductivity	NOUN
fis-5061	86	8	and	and	CCONJ
fis-5061	86	9	heat	heat	NOUN
fis-5061	86	10	transfer	transfer	NOUN
fis-5061	86	11	due	due	ADP
fis-5061	86	12	to	to	ADP
fis-5061	86	13	the	the	DET
fis-5061	86	14	combined	combine	VERB
fis-5061	86	15	action	action	NOUN
fis-5061	86	16	of	of	ADP
fis-5061	86	17	al2o3	al2o3	PROPN
fis-5061	86	18	and	and	CCONJ
fis-5061	86	19	mwcnt	mwcnt	ADJ
fis-5061	86	20	nanoparticles	nanoparticle	NOUN
fis-5061	86	21	in	in	ADP
fis-5061	86	22	the	the	DET
fis-5061	86	23	base	base	NOUN
fis-5061	86	24	fluid	fluid	NOUN
fis-5061	86	25	.	.	PUNCT
fis-5061	87	1	density	density	NOUN
fis-5061	87	2	(	(	PUNCT
fis-5061	87	3	g	g	NOUN
fis-5061	87	4	/	/	SYM
fis-5061	87	5	ml	ml	NOUN
fis-5061	87	6	)	)	PUNCT
fis-5061	87	7	viscosity	viscosity	NOUN
fis-5061	87	8	(	(	PUNCT
fis-5061	87	9	cp	cp	NOUN
fis-5061	87	10	)	)	PUNCT
fis-5061	87	11	acid	acid	NOUN
fis-5061	87	12	value	value	NOUN
fis-5061	87	13	(	(	PUNCT
fis-5061	87	14	koh	koh	PROPN
fis-5061	87	15	/	/	SYM
fis-5061	87	16	g	g	PROPN
fis-5061	87	17	)	)	PUNCT
fis-5061	87	18	surface	surface	NOUN
fis-5061	87	19	tension	tension	NOUN
fis-5061	87	20	(	(	PUNCT
fis-5061	87	21	n	n	CCONJ
fis-5061	87	22	/	/	SYM
fis-5061	87	23	m	m	NOUN
fis-5061	87	24	)	)	PUNCT
fis-5061	87	25	contact	contact	NOUN
fis-5061	87	26	angle	angle	NOUN
fis-5061	87	27	(	(	PUNCT
fis-5061	87	28	o	o	NOUN
fis-5061	87	29	)	)	PUNCT
fis-5061	87	30	thermal	thermal	ADJ
fis-5061	87	31	conductivity	conductivity	NOUN
fis-5061	87	32	(	(	PUNCT
fis-5061	87	33	w	w	NOUN
fis-5061	87	34	/	/	SYM
fis-5061	87	35	moc	moc	NOUN
fis-5061	87	36	)	)	PUNCT
fis-5061	87	37	0.945	0.945	NUM
fis-5061	87	38	212	212	NUM
fis-5061	87	39	4.61	4.61	NUM
fis-5061	87	40	43.02	43.02	NUM
fis-5061	87	41	32.55	32.55	NUM
fis-5061	87	42	0.213	0.213	NUM
fis-5061	87	43	table	table	NOUN
fis-5061	87	44	1	1	NUM
fis-5061	87	45	:	:	PUNCT
fis-5061	87	46	characteristics	characteristic	NOUN
fis-5061	87	47	of	of	ADP
fis-5061	87	48	hybrid	hybrid	ADJ
fis-5061	87	49	al2o3+mwcnt	al2o3+mwcnt	ADJ
fis-5061	87	50	nanofluid	nanofluid	NOUN
fis-5061	87	51	.	.	PUNCT
fis-5061	88	1	the	the	DET
fis-5061	88	2	process	process	NOUN
fis-5061	88	3	parameters	parameter	NOUN
fis-5061	88	4	for	for	ADP
fis-5061	88	5	the	the	DET
fis-5061	88	6	chosen	choose	VERB
fis-5061	88	7	workpiece	workpiece	NOUN
fis-5061	88	8	-	-	PUNCT
fis-5061	88	9	tool	tool	NOUN
fis-5061	88	10	pair	pair	NOUN
fis-5061	88	11	were	be	AUX
fis-5061	88	12	carefully	carefully	ADV
fis-5061	88	13	selected	select	VERB
fis-5061	88	14	after	after	ADP
fis-5061	88	15	a	a	DET
fis-5061	88	16	thorough	thorough	ADJ
fis-5061	88	17	literature	literature	NOUN
fis-5061	88	18	review	review	NOUN
fis-5061	88	19	,	,	PUNCT
fis-5061	88	20	pilot	pilot	NOUN
fis-5061	88	21	tests	test	NOUN
fis-5061	88	22	,	,	PUNCT
fis-5061	88	23	machine	machine	NOUN
fis-5061	88	24	capacity	capacity	NOUN
fis-5061	88	25	,	,	PUNCT
fis-5061	88	26	and	and	CCONJ
fis-5061	88	27	tool	tool	NOUN
fis-5061	88	28	manufacturer	manufacturer	NOUN
fis-5061	88	29	advice	advice	NOUN
fis-5061	88	30	.	.	PUNCT
fis-5061	89	1	based	base	VERB
fis-5061	89	2	on	on	ADP
fis-5061	89	3	a	a	DET
fis-5061	89	4	review	review	NOUN
fis-5061	89	5	of	of	ADP
fis-5061	89	6	the	the	DET
fis-5061	89	7	relevant	relevant	ADJ
fis-5061	89	8	literature	literature	NOUN
fis-5061	89	9	,	,	PUNCT
fis-5061	89	10	pilot	pilot	NOUN
fis-5061	89	11	experiments	experiment	NOUN
fis-5061	89	12	,	,	PUNCT
fis-5061	89	13	and	and	CCONJ
fis-5061	89	14	advice	advice	NOUN
fis-5061	89	15	from	from	ADP
fis-5061	89	16	the	the	DET
fis-5061	89	17	tool	tool	NOUN
fis-5061	89	18	's	's	PART
fis-5061	89	19	maker	maker	NOUN
fis-5061	89	20	,	,	PUNCT
fis-5061	89	21	the	the	DET
fis-5061	89	22	input	input	NOUN
fis-5061	89	23	variable	variable	ADJ
fis-5061	89	24	ranges	range	NOUN
fis-5061	89	25	were	be	AUX
fis-5061	89	26	chosen	choose	VERB
fis-5061	89	27	.	.	PUNCT
fis-5061	90	1	these	these	DET
fis-5061	90	2	input	input	NOUN
fis-5061	90	3	variable	variable	ADJ
fis-5061	90	4	ranges	range	NOUN
fis-5061	90	5	were	be	AUX
fis-5061	90	6	selected	select	VERB
fis-5061	90	7	to	to	PART
fis-5061	90	8	ensure	ensure	VERB
fis-5061	90	9	optimal	optimal	ADJ
fis-5061	90	10	cutting	cutting	NOUN
fis-5061	90	11	performance	performance	NOUN
fis-5061	90	12	and	and	CCONJ
fis-5061	90	13	minimize	minimize	VERB
fis-5061	90	14	tool	tool	NOUN
fis-5061	90	15	wear	wear	NOUN
fis-5061	90	16	.	.	PUNCT
fis-5061	91	1	during	during	ADP
fis-5061	91	2	the	the	DET
fis-5061	91	3	experiment	experiment	NOUN
fis-5061	91	4	,	,	PUNCT
fis-5061	91	5	the	the	DET
fis-5061	91	6	mql	mql	NOUN
fis-5061	91	7	setup	setup	NOUN
fis-5061	91	8	parameters	parameter	NOUN
fis-5061	91	9	were	be	AUX
fis-5061	91	10	as	as	SCONJ
fis-5061	91	11	follows	follow	VERB
fis-5061	91	12	:	:	PUNCT
fis-5061	91	13	the	the	DET
fis-5061	91	14	flow	flow	NOUN
fis-5061	91	15	rate	rate	NOUN
fis-5061	91	16	was	be	AUX
fis-5061	91	17	60	60	NUM
fis-5061	91	18	ml	ml	NOUN
fis-5061	91	19	/	/	SYM
fis-5061	91	20	hour	hour	NOUN
fis-5061	91	21	,	,	PUNCT
fis-5061	91	22	the	the	DET
fis-5061	91	23	air	air	NOUN
fis-5061	91	24	pressure	pressure	NOUN
fis-5061	91	25	was	be	AUX
fis-5061	91	26	4	4	NUM
fis-5061	91	27	bar	bar	NOUN
fis-5061	91	28	,	,	PUNCT
fis-5061	91	29	the	the	DET
fis-5061	91	30	nozzle	nozzle	NOUN
fis-5061	91	31	angle	angle	NOUN
fis-5061	91	32	was	be	AUX
fis-5061	91	33	15	15	NUM
fis-5061	91	34	degrees	degree	NOUN
fis-5061	91	35	,	,	PUNCT
fis-5061	91	36	the	the	DET
fis-5061	91	37	standoff	standoff	NOUN
fis-5061	91	38	distance	distance	NOUN
fis-5061	91	39	was	be	AUX
fis-5061	91	40	20	20	NUM
fis-5061	91	41	mm	mm	NOUN
fis-5061	91	42	,	,	PUNCT
fis-5061	91	43	and	and	CCONJ
fis-5061	91	44	the	the	DET
fis-5061	91	45	nozzle	nozzle	NOUN
fis-5061	91	46	diameter	diameter	NOUN
fis-5061	91	47	was	be	AUX
fis-5061	91	48	1	1	NUM
fis-5061	91	49	mm	mm	NOUN
fis-5061	91	50	.	.	PUNCT
fis-5061	92	1	the	the	DET
fis-5061	92	2	cutting	cut	VERB
fis-5061	92	3	speed	speed	NOUN
fis-5061	92	4	ranged	range	VERB
fis-5061	92	5	from	from	ADP
fis-5061	92	6	30	30	NUM
fis-5061	92	7	to	to	PART
fis-5061	92	8	100	100	NUM
fis-5061	92	9	m	m	PROPN
fis-5061	92	10	/	/	SYM
fis-5061	92	11	min	min	PROPN
fis-5061	92	12	,	,	PUNCT
fis-5061	92	13	the	the	DET
fis-5061	92	14	feed	feed	NOUN
fis-5061	92	15	ranged	range	VERB
fis-5061	92	16	from	from	ADP
fis-5061	92	17	0.1	0.1	NUM
fis-5061	92	18	to	to	ADP
fis-5061	92	19	0.3	0.3	NUM
fis-5061	92	20	mm	mm	NOUN
fis-5061	92	21	/	/	SYM
fis-5061	92	22	rev	rev	PROPN
fis-5061	92	23	,	,	PUNCT
fis-5061	92	24	and	and	CCONJ
fis-5061	92	25	the	the	DET
fis-5061	92	26	depth	depth	NOUN
fis-5061	92	27	of	of	ADP
fis-5061	92	28	cut	cut	NOUN
fis-5061	92	29	ranged	range	VERB
fis-5061	92	30	from	from	ADP
fis-5061	92	31	0.2	0.2	NUM
fis-5061	92	32	to	to	PART
fis-5061	92	33	0.8	0.8	NUM
fis-5061	92	34	mm	mm	NOUN
fis-5061	92	35	.	.	PUNCT
fis-5061	93	1	the	the	DET
fis-5061	93	2	mql	mql	NOUN
fis-5061	93	3	parameters	parameter	NOUN
fis-5061	93	4	were	be	AUX
fis-5061	93	5	optimized	optimize	VERB
fis-5061	93	6	to	to	PART
fis-5061	93	7	ensure	ensure	VERB
fis-5061	93	8	efficient	efficient	ADJ
fis-5061	93	9	cooling	cooling	NOUN
fis-5061	93	10	and	and	CCONJ
fis-5061	93	11	lubrication	lubrication	NOUN
fis-5061	93	12	during	during	ADP
fis-5061	93	13	the	the	DET
fis-5061	93	14	cutting	cutting	NOUN
fis-5061	93	15	process	process	NOUN
fis-5061	93	16	.	.	PUNCT
fis-5061	94	1	in	in	ADP
fis-5061	94	2	total	total	ADJ
fis-5061	94	3	,	,	PUNCT
fis-5061	94	4	15	15	NUM
fis-5061	94	5	experiments	experiment	NOUN
fis-5061	94	6	were	be	AUX
fis-5061	94	7	conducted	conduct	VERB
fis-5061	94	8	using	use	VERB
fis-5061	94	9	a	a	DET
fis-5061	94	10	central	central	ADJ
fis-5061	94	11	composite	composite	ADJ
fis-5061	94	12	rotatable	rotatable	ADJ
fis-5061	94	13	design	design	NOUN
fis-5061	94	14	test	test	NOUN
fis-5061	94	15	matrix	matrix	NOUN
fis-5061	94	16	with	with	ADP
fis-5061	94	17	an	an	DET
fis-5061	94	18	alpha	alpha	ADJ
fis-5061	94	19	value	value	NOUN
fis-5061	94	20	of	of	ADP
fis-5061	94	21	1.6817	1.6817	NUM
fis-5061	94	22	,	,	PUNCT
fis-5061	94	23	without	without	ADP
fis-5061	94	24	any	any	DET
fis-5061	94	25	repetitions	repetition	NOUN
fis-5061	94	26	.	.	PUNCT
fis-5061	95	1	the	the	DET
fis-5061	95	2	process	process	NOUN
fis-5061	95	3	parameters	parameter	NOUN
fis-5061	95	4	were	be	AUX
fis-5061	95	5	altered	alter	VERB
fis-5061	95	6	at	at	ADP
fis-5061	95	7	five	five	NUM
fis-5061	95	8	different	different	ADJ
fis-5061	95	9	levels	level	NOUN
fis-5061	95	10	,	,	PUNCT
fis-5061	95	11	which	which	PRON
fis-5061	95	12	included	include	VERB
fis-5061	95	13	the	the	DET
fis-5061	95	14	axial	axial	ADJ
fis-5061	95	15	points	point	NOUN
fis-5061	95	16	of	of	ADP
fis-5061	95	17	plus	plus	CCONJ
fis-5061	95	18	and	and	CCONJ
fis-5061	95	19	minus	minus	CCONJ
fis-5061	95	20	alpha	alpha	NOUN
fis-5061	95	21	,	,	PUNCT
fis-5061	95	22	factorial	factorial	ADJ
fis-5061	95	23	points	point	NOUN
fis-5061	95	24	of	of	ADP
fis-5061	95	25	plus	plus	CCONJ
fis-5061	95	26	and	and	CCONJ
fis-5061	95	27	minus	minus	ADP
fis-5061	95	28	one	one	NUM
fis-5061	95	29	,	,	PUNCT
fis-5061	95	30	and	and	CCONJ
fis-5061	95	31	the	the	DET
fis-5061	95	32	center	center	NOUN
fis-5061	95	33	point	point	NOUN
fis-5061	95	34	.	.	PUNCT
fis-5061	96	1	the	the	DET
fis-5061	96	2	set	set	NOUN
fis-5061	96	3	of	of	ADP
fis-5061	96	4	cutting	cut	VERB
fis-5061	96	5	parameters	parameter	NOUN
fis-5061	96	6	used	use	VERB
fis-5061	96	7	for	for	ADP
fis-5061	96	8	turning	turn	VERB
fis-5061	96	9	inconel	inconel	NOUN
fis-5061	96	10	718	718	NUM
fis-5061	96	11	and	and	CCONJ
fis-5061	96	12	the	the	DET
fis-5061	96	13	experimental	experimental	ADJ
fis-5061	96	14	results	result	NOUN
fis-5061	96	15	are	be	AUX
fis-5061	96	16	presented	present	VERB
fis-5061	96	17	in	in	ADP
fis-5061	96	18	the	the	DET
fis-5061	96	19	results	result	NOUN
fis-5061	96	20	and	and	CCONJ
fis-5061	96	21	discussion	discussion	NOUN
fis-5061	96	22	section	section	NOUN
fis-5061	96	23	(	(	PUNCT
fis-5061	96	24	tab	tab	NOUN
fis-5061	96	25	.	.	NOUN
fis-5061	96	26	2	2	NUM
fis-5061	96	27	)	)	PUNCT
fis-5061	96	28	.	.	PUNCT
fis-5061	97	1	at	at	ADP
fis-5061	97	2	each	each	DET
fis-5061	97	3	cutting	cutting	NOUN
fis-5061	97	4	parameter	parameter	NOUN
fis-5061	97	5	,	,	PUNCT
fis-5061	97	6	the	the	DET
fis-5061	97	7	responses	response	NOUN
fis-5061	97	8	,	,	PUNCT
fis-5061	97	9	namely	namely	ADV
fis-5061	97	10	cutting	cut	VERB
fis-5061	97	11	force	force	NOUN
fis-5061	97	12	,	,	PUNCT
fis-5061	97	13	surface	surface	NOUN
fis-5061	97	14	roughness	roughness	NOUN
fis-5061	97	15	,	,	PUNCT
fis-5061	97	16	tool	tool	NOUN
fis-5061	97	17	life	life	NOUN
fis-5061	97	18	,	,	PUNCT
fis-5061	97	19	and	and	CCONJ
fis-5061	97	20	tool	tool	NOUN
fis-5061	97	21	wear	wear	VERB
fis-5061	97	22	analysis	analysis	NOUN
fis-5061	97	23	,	,	PUNCT
fis-5061	97	24	were	be	AUX
fis-5061	97	25	studied	study	VERB
fis-5061	97	26	.	.	PUNCT
fis-5061	98	1	the	the	DET
fis-5061	98	2	cutting	cut	VERB
fis-5061	98	3	force	force	NOUN
fis-5061	98	4	was	be	AUX
fis-5061	98	5	measured	measure	VERB
fis-5061	98	6	using	use	VERB
fis-5061	98	7	a	a	DET
fis-5061	98	8	previously	previously	ADV
fis-5061	98	9	calibrated	calibrate	VERB
fis-5061	98	10	strain	strain	NOUN
fis-5061	98	11	gauge	gauge	NOUN
fis-5061	98	12	-	-	PUNCT
fis-5061	98	13	type	type	NOUN
fis-5061	98	14	dynamometer	dynamometer	NOUN
fis-5061	98	15	.	.	PUNCT
fis-5061	99	1	a	a	DET
fis-5061	99	2	dino	dino	NOUN
fis-5061	99	3	-	-	PUNCT
fis-5061	99	4	lite	lite	NOUN
fis-5061	99	5	digital	digital	ADJ
fis-5061	99	6	microscope	microscope	NOUN
fis-5061	99	7	was	be	AUX
fis-5061	99	8	used	use	VERB
fis-5061	99	9	to	to	PART
fis-5061	99	10	quantify	quantify	VERB
fis-5061	99	11	the	the	DET
fis-5061	99	12	flank	flank	NOUN
fis-5061	99	13	wear	wear	NOUN
fis-5061	99	14	following	follow	VERB
fis-5061	99	15	each	each	DET
fis-5061	99	16	cutting	cutting	NOUN
fis-5061	99	17	pass	pass	NOUN
fis-5061	99	18	,	,	PUNCT
fis-5061	99	19	and	and	CCONJ
fis-5061	99	20	a	a	DET
fis-5061	99	21	mitutoyo	mitutoyo	PROPN
fis-5061	99	22	sj.201	sj.201	PROPN
fis-5061	99	23	surface	surface	NOUN
fis-5061	99	24	roughness	roughness	NOUN
fis-5061	99	25	tester	tester	NOUN
fis-5061	99	26	was	be	AUX
fis-5061	99	27	used	use	VERB
fis-5061	99	28	to	to	PART
fis-5061	99	29	determine	determine	VERB
fis-5061	99	30	the	the	DET
fis-5061	99	31	average	average	ADJ
fis-5061	99	32	surface	surface	NOUN
fis-5061	99	33	roughness	roughness	NOUN
fis-5061	99	34	(	(	PUNCT
fis-5061	99	35	ra	ra	NOUN
fis-5061	99	36	)	)	PUNCT
fis-5061	99	37	.	.	PUNCT
fis-5061	100	1	in	in	ADP
fis-5061	100	2	accordance	accordance	NOUN
fis-5061	100	3	with	with	ADP
fis-5061	100	4	iso	iso	PROPN
fis-5061	100	5	3685	3685	NUM
fis-5061	100	6	-	-	PUNCT
fis-5061	100	7	1977(e	1977(e	NOUN
fis-5061	100	8	)	)	PUNCT
fis-5061	100	9	requirements	requirement	NOUN
fis-5061	100	10	,	,	PUNCT
fis-5061	100	11	the	the	DET
fis-5061	100	12	tool	tool	NOUN
fis-5061	100	13	life	life	NOUN
fis-5061	100	14	limits	limit	NOUN
fis-5061	100	15	were	be	AUX
fis-5061	100	16	established	establish	VERB
fis-5061	100	17	at	at	ADP
fis-5061	100	18	0.2	0.2	NUM
fis-5061	100	19	mm	mm	NOUN
fis-5061	100	20	flank	flank	NOUN
fis-5061	100	21	wear	wear	NOUN
fis-5061	100	22	or	or	CCONJ
fis-5061	100	23	a	a	DET
fis-5061	100	24	catastrophic	catastrophic	ADJ
fis-5061	100	25	failure	failure	NOUN
fis-5061	100	26	.	.	PUNCT
fis-5061	101	1	a	a	DET
fis-5061	101	2	carbide	carbide	ADJ
fis-5061	101	3	tool	tool	NOUN
fis-5061	101	4	coated	coat	VERB
fis-5061	101	5	with	with	ADP
fis-5061	101	6	pvd	pvd	PROPN
fis-5061	101	7	-	-	PUNCT
fis-5061	101	8	altin	altin	PROPN
fis-5061	101	9	was	be	AUX
fis-5061	101	10	used	use	VERB
fis-5061	101	11	for	for	ADP
fis-5061	101	12	the	the	DET
fis-5061	101	13	trials	trial	NOUN
fis-5061	101	14	.	.	PUNCT
fis-5061	102	1	artificial	artificial	ADJ
fis-5061	102	2	neural	neural	ADJ
fis-5061	102	3	networks	network	NOUN
fis-5061	102	4	(	(	PUNCT
fis-5061	102	5	ann	ann	PROPN
fis-5061	102	6	)	)	PUNCT
fis-5061	102	7	anns	anns	PROPN
fis-5061	102	8	are	be	AUX
fis-5061	102	9	computer	computer	NOUN
fis-5061	102	10	programs	program	NOUN
fis-5061	102	11	that	that	PRON
fis-5061	102	12	are	be	AUX
fis-5061	102	13	highly	highly	ADV
fis-5061	102	14	helpful	helpful	ADJ
fis-5061	102	15	for	for	ADP
fis-5061	102	16	data	data	NOUN
fis-5061	102	17	processing	processing	NOUN
fis-5061	102	18	-	-	PUNCT
fis-5061	102	19	related	relate	VERB
fis-5061	102	20	prediction	prediction	NOUN
fis-5061	102	21	and	and	CCONJ
fis-5061	102	22	classification	classification	NOUN
fis-5061	102	23	problems	problem	NOUN
fis-5061	102	24	.	.	PUNCT
fis-5061	103	1	anns	anns	PROPN
fis-5061	103	2	,	,	PUNCT
fis-5061	103	3	designed	design	VERB
fis-5061	103	4	to	to	PART
fis-5061	103	5	mimic	mimic	VERB
fis-5061	103	6	human	human	ADJ
fis-5061	103	7	brain	brain	NOUN
fis-5061	103	8	processing	processing	NOUN
fis-5061	103	9	,	,	PUNCT
fis-5061	103	10	are	be	AUX
fis-5061	103	11	effective	effective	ADJ
fis-5061	103	12	for	for	ADP
fis-5061	103	13	image	image	NOUN
fis-5061	103	14	recognition	recognition	NOUN
fis-5061	103	15	and	and	CCONJ
fis-5061	103	16	natural	natural	ADJ
fis-5061	103	17	language	language	NOUN
fis-5061	103	18	processing	processing	NOUN
fis-5061	103	19	,	,	PUNCT
fis-5061	103	20	using	use	VERB
fis-5061	103	21	interconnected	interconnected	ADJ
fis-5061	103	22	nodes	node	NOUN
fis-5061	103	23	to	to	PART
fis-5061	103	24	analyze	analyze	VERB
fis-5061	103	25	data	datum	NOUN
fis-5061	103	26	and	and	CCONJ
fis-5061	103	27	learn	learn	VERB
fis-5061	103	28	patterns	pattern	NOUN
fis-5061	103	29	.	.	PUNCT
fis-5061	104	1	they	they	PRON
fis-5061	104	2	draw	draw	VERB
fis-5061	104	3	inspiration	inspiration	NOUN
fis-5061	104	4	from	from	ADP
fis-5061	104	5	the	the	DET
fis-5061	104	6	characteristics	characteristic	NOUN
fis-5061	104	7	of	of	ADP
fis-5061	104	8	biological	biological	ADJ
fis-5061	104	9	neuron	neuron	NOUN
fis-5061	104	10	systems	system	NOUN
fis-5061	104	11	that	that	PRON
fis-5061	104	12	resemble	resemble	VERB
fis-5061	104	13	the	the	DET
fis-5061	104	14	human	human	ADJ
fis-5061	104	15	brain	brain	NOUN
fis-5061	104	16	and	and	CCONJ
fis-5061	104	17	acquire	acquire	VERB
fis-5061	104	18	information	information	NOUN
fis-5061	104	19	via	via	ADP
fis-5061	104	20	experience	experience	NOUN
fis-5061	104	21	.	.	PUNCT
fis-5061	105	1	this	this	DET
fis-5061	105	2	information	information	NOUN
fis-5061	105	3	is	be	AUX
fis-5061	105	4	then	then	ADV
fis-5061	105	5	utilized	utilize	VERB
fis-5061	105	6	for	for	ADP
fis-5061	105	7	data	data	NOUN
fis-5061	105	8	processing	processing	NOUN
fis-5061	105	9	tasks	task	NOUN
fis-5061	105	10	like	like	ADP
fis-5061	105	11	classification	classification	NOUN
fis-5061	105	12	and	and	CCONJ
fis-5061	105	13	prediction	prediction	NOUN
fis-5061	105	14	[	[	X
fis-5061	105	15	33	33	NUM
fis-5061	105	16	]	]	PUNCT
fis-5061	105	17	.	.	PUNCT
fis-5061	106	1	anns	anns	PROPN
fis-5061	106	2	,	,	PUNCT
fis-5061	106	3	through	through	ADP
fis-5061	106	4	training	training	NOUN
fis-5061	106	5	,	,	PUNCT
fis-5061	106	6	adapt	adapt	VERB
fis-5061	106	7	and	and	CCONJ
fis-5061	106	8	improve	improve	VERB
fis-5061	106	9	their	their	PRON
fis-5061	106	10	performance	performance	NOUN
fis-5061	106	11	over	over	ADP
fis-5061	106	12	time	time	NOUN
fis-5061	106	13	,	,	PUNCT
fis-5061	106	14	making	make	VERB
fis-5061	106	15	them	they	PRON
fis-5061	106	16	powerful	powerful	ADJ
fis-5061	106	17	tools	tool	NOUN
fis-5061	106	18	for	for	ADP
fis-5061	106	19	complex	complex	ADJ
fis-5061	106	20	data	datum	NOUN
fis-5061	106	21	analysis	analysis	NOUN
fis-5061	106	22	tasks	task	NOUN
fis-5061	106	23	in	in	ADP
fis-5061	106	24	finance	finance	NOUN
fis-5061	106	25	,	,	PUNCT
fis-5061	106	26	healthcare	healthcare	PROPN
fis-5061	106	27	,	,	PUNCT
fis-5061	106	28	and	and	CCONJ
fis-5061	106	29	marketing	marketing	NOUN
fis-5061	106	30	.	.	PUNCT
fis-5061	107	1	by	by	ADP
fis-5061	107	2	modifying	modify	VERB
fis-5061	107	3	the	the	DET
fis-5061	107	4	weights	weight	NOUN
fis-5061	107	5	and	and	CCONJ
fis-5061	107	6	biases	bias	NOUN
fis-5061	107	7	(	(	PUNCT
fis-5061	107	8	learning	learning	NOUN
fis-5061	107	9	)	)	PUNCT
fis-5061	107	10	in	in	ADP
fis-5061	107	11	a	a	DET
fis-5061	107	12	network	network	NOUN
fis-5061	107	13	to	to	PART
fis-5061	107	14	capture	capture	VERB
fis-5061	107	15	the	the	DET
fis-5061	107	16	linear	linear	ADJ
fis-5061	107	17	and	and	CCONJ
fis-5061	107	18	non	non	ADJ
fis-5061	107	19	-	-	ADJ
fis-5061	107	20	linear	linear	ADJ
fis-5061	107	21	structure	structure	NOUN
fis-5061	107	22	of	of	ADP
fis-5061	107	23	the	the	DET
fis-5061	107	24	data	datum	NOUN
fis-5061	107	25	while	while	SCONJ
fis-5061	107	26	keeping	keep	VERB
fis-5061	107	27	an	an	DET
fis-5061	107	28	acceptable	acceptable	ADJ
fis-5061	107	29	error	error	NOUN
fis-5061	107	30	limit	limit	NOUN
fis-5061	107	31	,	,	PUNCT
fis-5061	107	32	anns	ann	NOUN
fis-5061	107	33	can	can	AUX
fis-5061	107	34	predict	predict	VERB
fis-5061	107	35	outcomes	outcome	NOUN
fis-5061	107	36	.	.	PUNCT
fis-5061	108	1	until	until	SCONJ
fis-5061	108	2	the	the	DET
fis-5061	108	3	network	network	NOUN
fis-5061	108	4	displays	display	VERB
fis-5061	108	5	a	a	DET
fis-5061	108	6	minimal	minimal	ADJ
fis-5061	108	7	error	error	NOUN
fis-5061	108	8	for	for	ADP
fis-5061	108	9	each	each	PRON
fis-5061	108	10	of	of	ADP
fis-5061	108	11	the	the	DET
fis-5061	108	12	input	input	NOUN
fis-5061	108	13	and	and	CCONJ
fis-5061	108	14	output	output	NOUN
fis-5061	108	15	values	value	NOUN
fis-5061	108	16	,	,	PUNCT
fis-5061	108	17	the	the	DET
fis-5061	108	18	weights	weight	NOUN
fis-5061	108	19	are	be	AUX
fis-5061	108	20	iteratively	iteratively	ADV
fis-5061	108	21	changed	change	VERB
fis-5061	108	22	.	.	PUNCT
fis-5061	109	1	the	the	DET
fis-5061	109	2	choice	choice	NOUN
fis-5061	109	3	of	of	ADP
fis-5061	109	4	an	an	DET
fis-5061	109	5	appropriate	appropriate	ADJ
fis-5061	109	6	network	network	NOUN
fis-5061	109	7	architecture	architecture	NOUN
fis-5061	109	8	,	,	PUNCT
fis-5061	109	9	training	training	NOUN
fis-5061	109	10	techniques	technique	NOUN
fis-5061	109	11	,	,	PUNCT
fis-5061	109	12	and	and	CCONJ
fis-5061	109	13	hyperparameters	hyperparameter	NOUN
fis-5061	109	14	make	make	VERB
fis-5061	109	15	this	this	PRON
fis-5061	109	16	feasible	feasible	ADJ
fis-5061	109	17	[	[	X
fis-5061	109	18	34	34	NUM
fis-5061	109	19	]	]	PUNCT
fis-5061	109	20	.	.	PUNCT
fis-5061	110	1	the	the	DET
fis-5061	110	2	network	network	NOUN
fis-5061	110	3	training	training	NOUN
fis-5061	110	4	function	function	NOUN
fis-5061	110	5	utilizes	utilize	VERB
fis-5061	110	6	levenberg	levenberg	PROPN
fis-5061	110	7	-	-	PUNCT
fis-5061	110	8	marquardt	marquardt	PROPN
fis-5061	110	9	optimization	optimization	NOUN
fis-5061	110	10	to	to	PART
fis-5061	110	11	update	update	VERB
fis-5061	110	12	weight	weight	NOUN
fis-5061	110	13	and	and	CCONJ
fis-5061	110	14	bias	bias	NOUN
fis-5061	110	15	variables	variable	NOUN
fis-5061	110	16	.	.	PUNCT
fis-5061	111	1	a	a	DET
fis-5061	111	2	multilayer	multilayer	ADJ
fis-5061	111	3	perceptron	perceptron	PROPN
fis-5061	111	4	(	(	PUNCT
fis-5061	111	5	mlp	mlp	PROPN
fis-5061	111	6	)	)	PUNCT
fis-5061	111	7	is	be	AUX
fis-5061	111	8	a	a	DET
fis-5061	111	9	common	common	ADJ
fis-5061	111	10	feed	feed	NOUN
fis-5061	111	11	forward	forward	ADV
fis-5061	111	12	artificial	artificial	ADJ
fis-5061	111	13	neural	neural	ADJ
fis-5061	111	14	network	network	NOUN
fis-5061	111	15	,	,	PUNCT
fis-5061	111	16	as	as	SCONJ
fis-5061	111	17	seen	see	VERB
fis-5061	111	18	in	in	ADP
fis-5061	111	19	fig	fig	NOUN
fis-5061	111	20	.	.	PUNCT
fis-5061	112	1	2	2	X
fis-5061	112	2	.	.	X
fis-5061	112	3	the	the	DET
fis-5061	112	4	three	three	NUM
fis-5061	112	5	levels	level	NOUN
fis-5061	112	6	that	that	PRON
fis-5061	112	7	make	make	VERB
fis-5061	112	8	up	up	ADP
fis-5061	112	9	the	the	DET
fis-5061	112	10	mlp	mlp	NOUN
fis-5061	112	11	are	be	AUX
fis-5061	112	12	the	the	DET
fis-5061	112	13	input	input	NOUN
fis-5061	112	14	layer	layer	NOUN
fis-5061	112	15	,	,	PUNCT
fis-5061	112	16	hidden	hide	VERB
fis-5061	112	17	layer	layer	NOUN
fis-5061	112	18	,	,	PUNCT
fis-5061	112	19	and	and	CCONJ
fis-5061	112	20	output	output	NOUN
fis-5061	112	21	layer	layer	NOUN
fis-5061	112	22	.	.	PUNCT
fis-5061	113	1	each	each	DET
fis-5061	113	2	layer	layer	NOUN
fis-5061	113	3	is	be	AUX
fis-5061	113	4	made	make	VERB
fis-5061	113	5	up	up	ADP
fis-5061	113	6	of	of	ADP
fis-5061	113	7	a	a	DET
fis-5061	113	8	network	network	NOUN
fis-5061	113	9	of	of	ADP
fis-5061	113	10	artificial	artificial	ADJ
fis-5061	113	11	neurons	neuron	NOUN
fis-5061	113	12	.	.	PUNCT
fis-5061	114	1	domain	domain	NOUN
fis-5061	114	2	provides	provide	VERB
fis-5061	114	3	input	input	NOUN
fis-5061	114	4	to	to	ADP
fis-5061	114	5	the	the	DET
fis-5061	114	6	input	input	NOUN
fis-5061	114	7	layer	layer	NOUN
fis-5061	114	8	,	,	PUNCT
fis-5061	114	9	from	from	ADP
fis-5061	114	10	which	which	PRON
fis-5061	114	11	neurons	neuron	NOUN
fis-5061	114	12	send	send	VERB
fis-5061	114	13	the	the	DET
fis-5061	114	14	information	information	NOUN
fis-5061	114	15	to	to	ADP
fis-5061	114	16	the	the	DET
fis-5061	114	17	hidden	hide	VERB
fis-5061	114	18	layer	layer	NOUN
fis-5061	114	19	.	.	PUNCT
fis-5061	115	1	the	the	DET
fis-5061	115	2	hidden	hide	VERB
fis-5061	115	3	layer	layer	NOUN
fis-5061	115	4	performs	perform	VERB
fis-5061	115	5	many	many	ADJ
fis-5061	115	6	computations	computation	NOUN
fis-5061	115	7	on	on	ADP
fis-5061	115	8	the	the	DET
fis-5061	115	9	attributes	attribute	NOUN
fis-5061	115	10	provided	provide	VERB
fis-5061	115	11	by	by	ADP
fis-5061	115	12	the	the	DET
fis-5061	115	13	input	input	NOUN
fis-5061	115	14	layer	layer	NOUN
fis-5061	115	15	,	,	PUNCT
fis-5061	115	16	and	and	CCONJ
fis-5061	115	17	then	then	ADV
fis-5061	115	18	sends	send	VERB
fis-5061	115	19	the	the	DET
fis-5061	115	20	result	result	NOUN
fis-5061	115	21	to	to	ADP
fis-5061	115	22	the	the	DET
fis-5061	115	23	output	output	NOUN
fis-5061	115	24	layer	layer	NOUN
fis-5061	115	25	.	.	PUNCT
fis-5061	116	1	the	the	DET
fis-5061	116	2	output	output	NOUN
fis-5061	116	3	layer	layer	NOUN
fis-5061	116	4	essentially	essentially	ADV
fis-5061	116	5	transforms	transform	VERB
fis-5061	116	6	the	the	DET
fis-5061	116	7	knowledge	knowledge	NOUN
fis-5061	116	8	that	that	PRON
fis-5061	116	9	has	have	AUX
fis-5061	116	10	been	be	AUX
fis-5061	116	11	learned	learn	VERB
fis-5061	116	12	in	in	ADP
fis-5061	116	13	the	the	DET
fis-5061	116	14	hidden	hidden	ADJ
fis-5061	116	15	layers	layer	NOUN
fis-5061	116	16	.	.	PUNCT
fis-5061	117	1	on	on	ADP
fis-5061	117	2	the	the	DET
fis-5061	117	3	other	other	ADJ
fis-5061	117	4	hand	hand	NOUN
fis-5061	117	5	,	,	PUNCT
fis-5061	117	6	the	the	DET
fis-5061	117	7	activation	activation	NOUN
fis-5061	117	8	functions	function	NOUN
fis-5061	117	9	of	of	ADP
fis-5061	117	10	the	the	DET
fis-5061	117	11	hidden	hide	VERB
fis-5061	117	12	layer	layer	NOUN
fis-5061	117	13	and	and	CCONJ
fis-5061	117	14	the	the	DET
fis-5061	117	15	output	output	NOUN
fis-5061	117	16	layer	layer	NOUN
fis-5061	117	17	usually	usually	ADV
fis-5061	117	18	differ	differ	VERB
fis-5061	117	19	.	.	PUNCT
fis-5061	118	1	if	if	SCONJ
fis-5061	118	2	more	more	ADV
fis-5061	118	3	accurate	accurate	ADJ
fis-5061	118	4	output	output	NOUN
fis-5061	118	5	predictions	prediction	NOUN
fis-5061	118	6	are	be	AUX
fis-5061	118	7	to	to	PART
fis-5061	118	8	be	be	AUX
fis-5061	118	9	created	create	VERB
fis-5061	118	10	,	,	PUNCT
fis-5061	118	11	the	the	DET
fis-5061	118	12	network	network	NOUN
fis-5061	118	13	must	must	AUX
fis-5061	118	14	be	be	AUX
fis-5061	118	15	trained	train	VERB
fis-5061	118	16	.	.	PUNCT
fis-5061	119	1	to	to	PART
fis-5061	119	2	make	make	VERB
fis-5061	119	3	sure	sure	ADJ
fis-5061	119	4	the	the	DET
fis-5061	119	5	neural	neural	ADJ
fis-5061	119	6	network	network	NOUN
fis-5061	119	7	generalizes	generalize	VERB
fis-5061	119	8	successfully	successfully	ADV
fis-5061	119	9	to	to	ADP
fis-5061	119	10	new	new	ADJ
fis-5061	119	11	data	datum	NOUN
fis-5061	119	12	,	,	PUNCT
fis-5061	119	13	the	the	DET
fis-5061	119	14	training	training	NOUN
fis-5061	119	15	procedure	procedure	NOUN
fis-5061	119	16	necessitates	necessitate	VERB
fis-5061	119	17	monitoring	monitor	VERB
fis-5061	119	18	performance	performance	NOUN
fis-5061	119	19	metrics	metric	NOUN
fis-5061	119	20	,	,	PUNCT
fis-5061	119	21	carefully	carefully	ADV
fis-5061	119	22	adjusting	adjust	VERB
fis-5061	119	23	hyperparameters	hyperparameter	NOUN
fis-5061	119	24	,	,	PUNCT
fis-5061	119	25	and	and	CCONJ
fis-5061	119	26	making	make	VERB
fis-5061	119	27	necessary	necessary	ADJ
fis-5061	119	28	modifications	modification	NOUN
fis-5061	119	29	.	.	PUNCT
fis-5061	120	1	the	the	DET
fis-5061	120	2	most	most	ADV
fis-5061	120	3	popular	popular	ADJ
fis-5061	120	4	training	training	NOUN
fis-5061	120	5	algorithm	algorithm	NOUN
fis-5061	120	6	is	be	AUX
fis-5061	120	7	error	error	NOUN
fis-5061	120	8	back	back	NOUN
fis-5061	120	9	propagation	propagation	NOUN
fis-5061	120	10	.	.	PUNCT
fis-5061	121	1	initializing	initialize	VERB
fis-5061	121	2	the	the	DET
fis-5061	121	3	neural	neural	ADJ
fis-5061	121	4	network	network	NOUN
fis-5061	121	5	parameters	parameter	NOUN
fis-5061	121	6	is	be	AUX
fis-5061	121	7	the	the	DET
fis-5061	121	8	first	first	ADJ
fis-5061	121	9	step	step	NOUN
fis-5061	121	10	in	in	ADP
fis-5061	121	11	the	the	DET
fis-5061	121	12	typical	typical	ADJ
fis-5061	121	13	ann	ann	PROPN
fis-5061	121	14	technique	technique	NOUN
fis-5061	121	15	.	.	PUNCT
fis-5061	122	1	prior	prior	ADV
fis-5061	122	2	to	to	ADP
fis-5061	122	3	the	the	DET
fis-5061	122	4	training	training	NOUN
fis-5061	122	5	process	process	NOUN
fis-5061	122	6	starting	start	VERB
fis-5061	122	7	,	,	PUNCT
fis-5061	122	8	this	this	DET
fis-5061	122	9	step	step	NOUN
fis-5061	122	10	comprises	comprise	VERB
fis-5061	122	11	setting	set	VERB
fis-5061	122	12	the	the	DET
fis-5061	122	13	initial	initial	ADJ
fis-5061	122	14	settings	setting	NOUN
fis-5061	122	15	for	for	ADP
fis-5061	122	16	the	the	DET
fis-5061	122	17	network	network	NOUN
fis-5061	122	18	's	's	PART
fis-5061	122	19	weights	weight	NOUN
fis-5061	122	20	and	and	CCONJ
fis-5061	122	21	biases	bias	NOUN
fis-5061	122	22	.	.	PUNCT
fis-5061	123	1	next	next	ADV
fis-5061	123	2	,	,	PUNCT
fis-5061	123	3	the	the	DET
fis-5061	123	4	weights	weight	NOUN
fis-5061	123	5	are	be	AUX
fis-5061	123	6	modified	modify	VERB
fis-5061	123	7	in	in	ADP
fis-5061	123	8	accordance	accordance	NOUN
fis-5061	123	9	with	with	ADP
fis-5061	123	10	the	the	DET
fis-5061	123	11	output	output	NOUN
fis-5061	123	12	node	node	NOUN
fis-5061	123	13	error	error	NOUN
fis-5061	123	14	,	,	PUNCT
fis-5061	123	15	which	which	PRON
fis-5061	123	16	is	be	AUX
fis-5061	123	17	ascertained	ascertain	VERB
fis-5061	123	18	.	.	PUNCT
fis-5061	124	1	when	when	SCONJ
fis-5061	124	2	the	the	DET
fis-5061	124	3	ann	ann	PROPN
fis-5061	124	4	output	output	NOUN
fis-5061	124	5	for	for	ADP
fis-5061	124	6	each	each	DET
fis-5061	124	7	set	set	NOUN
fis-5061	124	8	is	be	AUX
fis-5061	124	9	sufficiently	sufficiently	ADV
fis-5061	124	10	close	close	ADJ
fis-5061	124	11	to	to	ADP
fis-5061	124	12	the	the	DET
fis-5061	124	13	p.	p.	NOUN
fis-5061	124	14	kulkarni	kulkarni	PROPN
fis-5061	124	15	et	et	PROPN
fis-5061	124	16	alii	alii	PROPN
fis-5061	124	17	,	,	PUNCT
fis-5061	124	18	frattura	frattura	PROPN
fis-5061	124	19	ed	ed	PROPN
fis-5061	124	20	integrità	integrità	PROPN
fis-5061	124	21	strutturale	strutturale	PROPN
fis-5061	124	22	,	,	PUNCT
fis-5061	124	23	70	70	NUM
fis-5061	124	24	(	(	PUNCT
fis-5061	124	25	2024	2024	NUM
fis-5061	124	26	)	)	PUNCT
fis-5061	124	27	71	71	NUM
fis-5061	124	28	-	-	SYM
fis-5061	124	29	90	90	NUM
fis-5061	124	30	;	;	PUNCT
fis-5061	124	31	doi	doi	NOUN
fis-5061	124	32	:	:	PUNCT
fis-5061	124	33	10.3221	10.3221	NUM
fis-5061	124	34	/	/	SYM
fis-5061	124	35	igf	igf	PROPN
fis-5061	124	36	-	-	PROPN
fis-5061	124	37	esis.70.04	esis.70.04	PROPN
fis-5061	124	38	75	75	NUM
fis-5061	124	39	anticipated	anticipate	VERB
fis-5061	124	40	output	output	NOUN
fis-5061	124	41	,	,	PUNCT
fis-5061	124	42	the	the	DET
fis-5061	124	43	training	training	NOUN
fis-5061	124	44	is	be	AUX
fis-5061	124	45	considered	consider	VERB
fis-5061	124	46	to	to	PART
fis-5061	124	47	have	have	AUX
fis-5061	124	48	ended	end	VERB
fis-5061	124	49	.	.	PUNCT
fis-5061	125	1	this	this	DET
fis-5061	125	2	process	process	NOUN
fis-5061	125	3	is	be	AUX
fis-5061	125	4	done	do	VERB
fis-5061	125	5	for	for	ADP
fis-5061	125	6	every	every	DET
fis-5061	125	7	pair	pair	NOUN
fis-5061	125	8	of	of	ADP
fis-5061	125	9	input	input	NOUN
fis-5061	125	10	and	and	CCONJ
fis-5061	125	11	output	output	NOUN
fis-5061	125	12	training	training	NOUN
fis-5061	125	13	data	datum	NOUN
fis-5061	125	14	.	.	PUNCT
fis-5061	126	1	figure	figure	NOUN
fis-5061	126	2	2	2	NUM
fis-5061	126	3	:	:	PUNCT
fis-5061	126	4	typical	typical	ADJ
fis-5061	126	5	ann	ann	PROPN
fis-5061	126	6	architecture	architecture	NOUN
fis-5061	126	7	.	.	PUNCT
fis-5061	127	1	training	training	NOUN
fis-5061	127	2	of	of	ADP
fis-5061	127	3	an	an	DET
fis-5061	127	4	ann	ann	PROPN
fis-5061	127	5	model	model	NOUN
fis-5061	127	6	a	a	DET
fis-5061	127	7	neural	neural	ADJ
fis-5061	127	8	network	network	NOUN
fis-5061	127	9	is	be	AUX
fis-5061	127	10	a	a	DET
fis-5061	127	11	machine	machine	NOUN
fis-5061	127	12	learning	learn	VERB
fis-5061	127	13	algorithm	algorithm	NOUN
fis-5061	127	14	used	use	VERB
fis-5061	127	15	to	to	PART
fis-5061	127	16	solve	solve	VERB
fis-5061	127	17	classification	classification	NOUN
fis-5061	127	18	or	or	CCONJ
fis-5061	127	19	regression	regression	NOUN
fis-5061	127	20	problems	problem	NOUN
fis-5061	127	21	.	.	PUNCT
fis-5061	128	1	it	it	PRON
fis-5061	128	2	involves	involve	VERB
fis-5061	128	3	preprocessing	preprocesse	VERB
fis-5061	128	4	input	input	NOUN
fis-5061	128	5	features	feature	NOUN
fis-5061	128	6	,	,	PUNCT
fis-5061	128	7	initializing	initialize	VERB
fis-5061	128	8	weights	weight	NOUN
fis-5061	128	9	,	,	PUNCT
fis-5061	128	10	adding	add	VERB
fis-5061	128	11	bias	bias	NOUN
fis-5061	128	12	,	,	PUNCT
fis-5061	128	13	and	and	CCONJ
fis-5061	128	14	choosing	choose	VERB
fis-5061	128	15	activation	activation	NOUN
fis-5061	128	16	functions	function	NOUN
fis-5061	128	17	.	.	PUNCT
fis-5061	129	1	the	the	DET
fis-5061	129	2	architecture	architecture	NOUN
fis-5061	129	3	is	be	AUX
fis-5061	129	4	crucial	crucial	ADJ
fis-5061	129	5	for	for	ADP
fis-5061	129	6	model	model	NOUN
fis-5061	129	7	building	building	NOUN
fis-5061	129	8	,	,	PUNCT
fis-5061	129	9	aiming	aim	VERB
fis-5061	129	10	to	to	PART
fis-5061	129	11	minimize	minimize	VERB
fis-5061	129	12	errors	error	NOUN
fis-5061	129	13	and	and	CCONJ
fis-5061	129	14	generalize	generalize	VERB
fis-5061	129	15	well	well	ADV
fis-5061	129	16	to	to	ADP
fis-5061	129	17	new	new	ADJ
fis-5061	129	18	data	datum	NOUN
fis-5061	129	19	.	.	PUNCT
fis-5061	130	1	fig	fig	NOUN
fis-5061	130	2	.	.	PUNCT
fis-5061	131	1	3	3	NUM
fis-5061	131	2	shows	show	VERB
fis-5061	131	3	a	a	DET
fis-5061	131	4	flow	flow	NOUN
fis-5061	131	5	chart	chart	NOUN
fis-5061	131	6	for	for	ADP
fis-5061	131	7	training	train	VERB
fis-5061	131	8	the	the	DET
fis-5061	131	9	ann	ann	PROPN
fis-5061	131	10	model	model	NOUN
fis-5061	131	11	.	.	PUNCT
fis-5061	132	1	figure	figure	VERB
fis-5061	132	2	3	3	NUM
fis-5061	132	3	:	:	PUNCT
fis-5061	132	4	flow	flow	VERB
fis-5061	132	5	chart	chart	NOUN
fis-5061	132	6	of	of	ADP
fis-5061	132	7	the	the	DET
fis-5061	132	8	training	training	NOUN
fis-5061	132	9	of	of	ADP
fis-5061	132	10	the	the	DET
fis-5061	132	11	ann	ann	PROPN
fis-5061	132	12	model	model	NOUN
fis-5061	133	1	[	[	X
fis-5061	133	2	7	7	NUM
fis-5061	133	3	]	]	PUNCT
fis-5061	133	4	.	.	PUNCT
fis-5061	134	1	parameters	parameter	NOUN
fis-5061	134	2	and	and	CCONJ
fis-5061	134	3	hyperparameters	hyperparameter	NOUN
fis-5061	134	4	used	use	VERB
fis-5061	134	5	by	by	ADP
fis-5061	134	6	ann	ann	PROPN
fis-5061	134	7	models	model	NOUN
fis-5061	134	8	are	be	AUX
fis-5061	134	9	adjusted	adjust	VERB
fis-5061	134	10	based	base	VERB
fis-5061	134	11	on	on	ADP
fis-5061	134	12	training	training	NOUN
fis-5061	134	13	data	datum	NOUN
fis-5061	134	14	.	.	PUNCT
fis-5061	135	1	to	to	PART
fis-5061	135	2	cut	cut	VERB
fis-5061	135	3	expenses	expense	NOUN
fis-5061	135	4	,	,	PUNCT
fis-5061	135	5	backpropagation	backpropagation	NOUN
fis-5061	135	6	optimizes	optimize	VERB
fis-5061	135	7	parameters	parameter	NOUN
fis-5061	135	8	like	like	ADP
fis-5061	135	9	weights	weight	NOUN
fis-5061	135	10	and	and	CCONJ
fis-5061	135	11	biases	bias	NOUN
fis-5061	135	12	.	.	PUNCT
fis-5061	136	1	hyperparameters	hyperparameter	NOUN
fis-5061	136	2	are	be	AUX
fis-5061	136	3	established	establish	VERB
fis-5061	136	4	values	value	NOUN
fis-5061	136	5	that	that	PRON
fis-5061	136	6	may	may	AUX
fis-5061	136	7	be	be	AUX
fis-5061	136	8	manually	manually	ADV
fis-5061	136	9	updated	update	VERB
fis-5061	136	10	,	,	PUNCT
fis-5061	136	11	although	although	SCONJ
fis-5061	136	12	establishing	establish	VERB
fis-5061	136	13	ideal	ideal	ADJ
fis-5061	136	14	values	value	NOUN
fis-5061	136	15	might	might	AUX
fis-5061	136	16	be	be	AUX
fis-5061	136	17	problematic	problematic	ADJ
fis-5061	136	18	owing	owe	VERB
fis-5061	136	19	to	to	ADP
fis-5061	136	20	dataset	dataset	ADJ
fis-5061	136	21	size	size	NOUN
fis-5061	136	22	and	and	CCONJ
fis-5061	136	23	composition	composition	NOUN
fis-5061	136	24	.	.	PUNCT
fis-5061	137	1	an	an	DET
fis-5061	137	2	ann	ann	PROPN
fis-5061	137	3	's	's	PART
fis-5061	137	4	structure	structure	NOUN
fis-5061	137	5	and	and	CCONJ
fis-5061	137	6	training	training	NOUN
fis-5061	137	7	procedure	procedure	NOUN
fis-5061	137	8	are	be	AUX
fis-5061	137	9	significantly	significantly	ADV
fis-5061	137	10	influenced	influence	VERB
fis-5061	137	11	by	by	ADP
fis-5061	137	12	hyperparameters	hyperparameter	NOUN
fis-5061	137	13	like	like	ADP
fis-5061	137	14	hidden	hidden	ADJ
fis-5061	137	15	layers	layer	NOUN
fis-5061	137	16	,	,	PUNCT
fis-5061	137	17	neurons	neuron	NOUN
fis-5061	137	18	,	,	PUNCT
fis-5061	137	19	activation	activation	NOUN
fis-5061	137	20	function	function	NOUN
fis-5061	137	21	,	,	PUNCT
fis-5061	137	22	learning	learn	VERB
fis-5061	137	23	rate	rate	NOUN
fis-5061	137	24	,	,	PUNCT
fis-5061	137	25	loss	loss	NOUN
fis-5061	137	26	function	function	NOUN
fis-5061	137	27	,	,	PUNCT
fis-5061	137	28	epochs	epoch	NOUN
fis-5061	137	29	,	,	PUNCT
fis-5061	137	30	optimizer	optimizer	NOUN
fis-5061	137	31	type	type	NOUN
fis-5061	137	32	,	,	PUNCT
fis-5061	137	33	batch	batch	NOUN
fis-5061	137	34	size	size	NOUN
fis-5061	137	35	,	,	PUNCT
fis-5061	137	36	etc	etc	X
fis-5061	137	37	.	.	X
fis-5061	138	1	the	the	DET
fis-5061	138	2	calculation	calculation	NOUN
fis-5061	138	3	cost	cost	NOUN
fis-5061	138	4	,	,	PUNCT
fis-5061	138	5	algorithm	algorithm	NOUN
fis-5061	138	6	execution	execution	NOUN
fis-5061	138	7	time	time	NOUN
fis-5061	138	8	,	,	PUNCT
fis-5061	138	9	and	and	CCONJ
fis-5061	138	10	prediction	prediction	NOUN
fis-5061	138	11	accuracy	accuracy	NOUN
fis-5061	138	12	are	be	AUX
fis-5061	138	13	all	all	PRON
fis-5061	138	14	significantly	significantly	ADV
fis-5061	138	15	impacted	impact	VERB
fis-5061	138	16	by	by	ADP
fis-5061	138	17	hyperparameter	hyperparameter	NOUN
fis-5061	138	18	settings	setting	NOUN
fis-5061	138	19	.	.	PUNCT
fis-5061	139	1	the	the	DET
fis-5061	139	2	complexity	complexity	NOUN
fis-5061	139	3	of	of	ADP
fis-5061	139	4	a	a	DET
fis-5061	139	5	dataset	dataset	NOUN
fis-5061	139	6	increases	increase	VERB
fis-5061	139	7	the	the	DET
fis-5061	139	8	number	number	NOUN
fis-5061	139	9	of	of	ADP
fis-5061	139	10	hidden	hidden	ADJ
fis-5061	139	11	layers	layer	NOUN
fis-5061	139	12	a	a	DET
fis-5061	139	13	neural	neural	ADJ
fis-5061	139	14	network	network	NOUN
fis-5061	139	15	needs	need	VERB
fis-5061	139	16	to	to	PART
fis-5061	139	17	identify	identify	VERB
fis-5061	139	18	significant	significant	ADJ
fis-5061	139	19	non	non	ADJ
fis-5061	139	20	-	-	ADJ
fis-5061	139	21	linear	linear	ADJ
fis-5061	139	22	patterns	pattern	NOUN
fis-5061	139	23	.	.	PUNCT
fis-5061	140	1	the	the	DET
fis-5061	140	2	neural	neural	ADJ
fis-5061	140	3	network	network	NOUN
fis-5061	140	4	's	's	PART
fis-5061	140	5	capacity	capacity	NOUN
fis-5061	140	6	for	for	ADP
fis-5061	140	7	learning	learning	NOUN
fis-5061	140	8	is	be	AUX
fis-5061	140	9	thus	thus	ADV
fis-5061	140	10	determined	determine	VERB
fis-5061	140	11	.	.	PUNCT
fis-5061	141	1	a	a	DET
fis-5061	141	2	smaller	small	ADJ
fis-5061	141	3	network	network	NOUN
fis-5061	141	4	with	with	ADP
fis-5061	141	5	fewer	few	ADJ
fis-5061	141	6	hidden	hidden	ADJ
fis-5061	141	7	layers	layer	NOUN
fis-5061	141	8	may	may	AUX
fis-5061	141	9	not	not	PART
fis-5061	141	10	fit	fit	VERB
fis-5061	141	11	the	the	DET
fis-5061	141	12	training	training	NOUN
fis-5061	141	13	set	set	NOUN
fis-5061	141	14	,	,	PUNCT
fis-5061	141	15	struggle	struggle	VERB
fis-5061	141	16	to	to	PART
fis-5061	141	17	recognize	recognize	VERB
fis-5061	141	18	intricate	intricate	ADJ
fis-5061	141	19	patterns	pattern	NOUN
fis-5061	141	20	,	,	PUNCT
fis-5061	141	21	or	or	CCONJ
fis-5061	141	22	effectively	effectively	ADV
fis-5061	141	23	predict	predict	VERB
fis-5061	141	24	unknown	unknown	ADJ
fis-5061	141	25	data	datum	NOUN
fis-5061	141	26	.	.	PUNCT
fis-5061	142	1	a	a	DET
fis-5061	142	2	larger	large	ADJ
fis-5061	142	3	network	network	NOUN
fis-5061	142	4	with	with	ADP
fis-5061	142	5	an	an	DET
fis-5061	142	6	excessive	excessive	ADJ
fis-5061	142	7	number	number	NOUN
fis-5061	142	8	of	of	ADP
fis-5061	142	9	hidden	hidden	ADJ
fis-5061	142	10	layers	layer	NOUN
fis-5061	142	11	could	could	AUX
fis-5061	142	12	overfit	overfit	VERB
fis-5061	142	13	the	the	DET
fis-5061	142	14	training	training	NOUN
fis-5061	142	15	set	set	NOUN
fis-5061	142	16	.	.	PUNCT
fis-5061	143	1	as	as	ADP
fis-5061	143	2	a	a	DET
fis-5061	143	3	result	result	NOUN
fis-5061	143	4	,	,	PUNCT
fis-5061	143	5	that	that	DET
fis-5061	143	6	kind	kind	NOUN
fis-5061	143	7	of	of	ADP
fis-5061	143	8	network	network	NOUN
fis-5061	143	9	has	have	VERB
fis-5061	143	10	poor	poor	ADJ
fis-5061	143	11	generalization	generalization	NOUN
fis-5061	143	12	to	to	ADP
fis-5061	143	13	unknown	unknown	ADJ
fis-5061	143	14	data	datum	NOUN
fis-5061	143	15	.	.	PUNCT
fis-5061	144	1	hidden	hide	VERB
fis-5061	144	2	neurons	neuron	NOUN
fis-5061	144	3	in	in	ADP
fis-5061	144	4	a	a	DET
fis-5061	144	5	network	network	NOUN
fis-5061	144	6	affect	affect	VERB
fis-5061	144	7	learning	learn	VERB
fis-5061	144	8	capacity	capacity	NOUN
fis-5061	144	9	,	,	PUNCT
fis-5061	144	10	with	with	ADP
fis-5061	144	11	too	too	ADV
fis-5061	144	12	many	many	ADJ
fis-5061	144	13	creating	create	VERB
fis-5061	144	14	large	large	ADJ
fis-5061	144	15	networks	network	NOUN
fis-5061	144	16	that	that	PRON
fis-5061	144	17	overfit	overfit	VERB
fis-5061	144	18	training	training	NOUN
fis-5061	144	19	data	datum	NOUN
fis-5061	144	20	,	,	PUNCT
fis-5061	144	21	and	and	CCONJ
fis-5061	144	22	too	too	ADV
fis-5061	144	23	few	few	ADJ
fis-5061	144	24	creating	create	VERB
fis-5061	144	25	smaller	small	ADJ
fis-5061	144	26	networks	network	NOUN
fis-5061	144	27	that	that	PRON
fis-5061	144	28	underfit	underfit	VERB
fis-5061	144	29	.	.	PUNCT
fis-5061	145	1	p.	p.	NOUN
fis-5061	145	2	kulkarni	kulkarni	PROPN
fis-5061	145	3	et	et	PROPN
fis-5061	145	4	alii	alii	PROPN
fis-5061	145	5	,	,	PUNCT
fis-5061	145	6	frattura	frattura	PROPN
fis-5061	145	7	ed	ed	PROPN
fis-5061	145	8	integrità	integrità	PROPN
fis-5061	145	9	strutturale	strutturale	PROPN
fis-5061	145	10	,	,	PUNCT
fis-5061	145	11	70	70	NUM
fis-5061	145	12	(	(	PUNCT
fis-5061	145	13	2024	2024	NUM
fis-5061	145	14	)	)	PUNCT
fis-5061	145	15	71	71	NUM
fis-5061	145	16	-	-	SYM
fis-5061	145	17	90	90	NUM
fis-5061	145	18	;	;	PUNCT
fis-5061	145	19	doi	doi	NOUN
fis-5061	145	20	:	:	PUNCT
fis-5061	145	21	10.3221	10.3221	NUM
fis-5061	145	22	/	/	SYM
fis-5061	145	23	igf	igf	PROPN
fis-5061	145	24	-	-	PROPN
fis-5061	145	25	esis.70.04	esis.70.04	PROPN
fis-5061	145	26	76	76	NUM
fis-5061	145	27	an	an	DET
fis-5061	145	28	activation	activation	NOUN
fis-5061	145	29	function	function	NOUN
fis-5061	145	30	applies	apply	VERB
fis-5061	145	31	mathematical	mathematical	ADJ
fis-5061	145	32	processes	process	NOUN
fis-5061	145	33	to	to	PART
fis-5061	145	34	forecast	forecast	VERB
fis-5061	145	35	a	a	DET
fis-5061	145	36	network	network	NOUN
fis-5061	145	37	and	and	CCONJ
fis-5061	145	38	assesses	assesse	NOUN
fis-5061	145	39	if	if	SCONJ
fis-5061	145	40	the	the	DET
fis-5061	145	41	input	input	NOUN
fis-5061	145	42	of	of	ADP
fis-5061	145	43	a	a	DET
fis-5061	145	44	neuron	neuron	NOUN
fis-5061	145	45	is	be	AUX
fis-5061	145	46	significant	significant	ADJ
fis-5061	145	47	.	.	PUNCT
fis-5061	146	1	it	it	PRON
fis-5061	146	2	uses	use	VERB
fis-5061	146	3	regression	regression	NOUN
fis-5061	146	4	for	for	ADP
fis-5061	146	5	a	a	DET
fis-5061	146	6	single	single	ADJ
fis-5061	146	7	neuron	neuron	NOUN
fis-5061	146	8	in	in	ADP
fis-5061	146	9	the	the	DET
fis-5061	146	10	output	output	NOUN
fis-5061	146	11	layer	layer	NOUN
fis-5061	146	12	and	and	CCONJ
fis-5061	146	13	introduces	introduce	VERB
fis-5061	146	14	non	non	ADJ
fis-5061	146	15	-	-	NOUN
fis-5061	146	16	linearity	linearity	NOUN
fis-5061	146	17	in	in	ADP
fis-5061	146	18	hidden	hidden	ADJ
fis-5061	146	19	layers	layer	NOUN
fis-5061	146	20	to	to	PART
fis-5061	146	21	derive	derive	VERB
fis-5061	146	22	output	output	NOUN
fis-5061	146	23	from	from	ADP
fis-5061	146	24	input	input	NOUN
fis-5061	146	25	data	datum	NOUN
fis-5061	146	26	.	.	PUNCT
fis-5061	147	1	the	the	DET
fis-5061	147	2	optimizer	optimizer	NOUN
fis-5061	147	3	's	's	PART
fis-5061	147	4	task	task	NOUN
fis-5061	147	5	is	be	AUX
fis-5061	147	6	to	to	PART
fis-5061	147	7	reduce	reduce	VERB
fis-5061	147	8	the	the	DET
fis-5061	147	9	loss	loss	NOUN
fis-5061	147	10	function	function	NOUN
fis-5061	147	11	by	by	ADP
fis-5061	147	12	updating	update	VERB
fis-5061	147	13	network	network	NOUN
fis-5061	147	14	parameters	parameter	NOUN
fis-5061	147	15	using	use	VERB
fis-5061	147	16	the	the	DET
fis-5061	147	17	popular	popular	ADJ
fis-5061	147	18	gradient	gradient	ADJ
fis-5061	147	19	descent	descent	NOUN
fis-5061	147	20	algorithm	algorithm	NOUN
fis-5061	147	21	,	,	PUNCT
fis-5061	147	22	which	which	PRON
fis-5061	147	23	requires	require	VERB
fis-5061	147	24	minimal	minimal	ADJ
fis-5061	147	25	steps	step	NOUN
fis-5061	147	26	to	to	PART
fis-5061	147	27	descend	descend	VERB
fis-5061	147	28	the	the	DET
fis-5061	147	29	error	error	NOUN
fis-5061	147	30	curve	curve	NOUN
fis-5061	147	31	.	.	PUNCT
fis-5061	148	1	the	the	DET
fis-5061	148	2	learning	learning	NOUN
fis-5061	148	3	rate	rate	NOUN
fis-5061	148	4	is	be	AUX
fis-5061	148	5	a	a	DET
fis-5061	148	6	crucial	crucial	ADJ
fis-5061	148	7	hyperparameter	hyperparameter	NOUN
fis-5061	148	8	in	in	ADP
fis-5061	148	9	neural	neural	ADJ
fis-5061	148	10	network	network	NOUN
fis-5061	148	11	training	training	NOUN
fis-5061	148	12	,	,	PUNCT
fis-5061	148	13	determining	determine	VERB
fis-5061	148	14	step	step	NOUN
fis-5061	148	15	speed	speed	NOUN
fis-5061	148	16	and	and	CCONJ
fis-5061	148	17	direction	direction	NOUN
fis-5061	148	18	,	,	PUNCT
fis-5061	148	19	and	and	CCONJ
fis-5061	148	20	should	should	AUX
fis-5061	148	21	be	be	AUX
fis-5061	148	22	started	start	VERB
fis-5061	148	23	with	with	ADP
fis-5061	148	24	a	a	DET
fis-5061	148	25	small	small	ADJ
fis-5061	148	26	value	value	NOUN
fis-5061	148	27	and	and	CCONJ
fis-5061	148	28	gradually	gradually	ADV
fis-5061	148	29	increased	increase	VERB
fis-5061	148	30	as	as	SCONJ
fis-5061	148	31	needed	need	VERB
fis-5061	148	32	.	.	PUNCT
fis-5061	149	1	the	the	DET
fis-5061	149	2	loss	loss	NOUN
fis-5061	149	3	function	function	NOUN
fis-5061	149	4	is	be	AUX
fis-5061	149	5	a	a	DET
fis-5061	149	6	tool	tool	NOUN
fis-5061	149	7	used	use	VERB
fis-5061	149	8	to	to	PART
fis-5061	149	9	evaluate	evaluate	VERB
fis-5061	149	10	the	the	DET
fis-5061	149	11	performance	performance	NOUN
fis-5061	149	12	of	of	ADP
fis-5061	149	13	a	a	DET
fis-5061	149	14	neural	neural	ADJ
fis-5061	149	15	network	network	NOUN
fis-5061	149	16	during	during	ADP
fis-5061	149	17	training	training	NOUN
fis-5061	149	18	by	by	ADP
fis-5061	149	19	calculating	calculate	VERB
fis-5061	149	20	the	the	DET
fis-5061	149	21	error	error	NOUN
fis-5061	149	22	between	between	ADP
fis-5061	149	23	anticipated	anticipate	VERB
fis-5061	149	24	and	and	CCONJ
fis-5061	149	25	actual	actual	ADJ
fis-5061	149	26	values	value	NOUN
fis-5061	149	27	.	.	PUNCT
fis-5061	150	1	the	the	DET
fis-5061	150	2	goal	goal	NOUN
fis-5061	150	3	is	be	AUX
fis-5061	150	4	to	to	PART
fis-5061	150	5	minimize	minimize	VERB
fis-5061	150	6	the	the	DET
fis-5061	150	7	loss	loss	NOUN
fis-5061	150	8	function	function	NOUN
fis-5061	150	9	by	by	ADP
fis-5061	150	10	using	use	VERB
fis-5061	150	11	an	an	DET
fis-5061	150	12	optimizer	optimizer	NOUN
fis-5061	150	13	.	.	PUNCT
fis-5061	151	1	the	the	DET
fis-5061	151	2	three	three	NUM
fis-5061	151	3	types	type	NOUN
fis-5061	151	4	of	of	ADP
fis-5061	151	5	loss	loss	NOUN
fis-5061	151	6	functions	function	NOUN
fis-5061	151	7	that	that	PRON
fis-5061	151	8	are	be	AUX
fis-5061	151	9	possible	possible	ADJ
fis-5061	151	10	are	be	AUX
fis-5061	151	11	mean	mean	NOUN
fis-5061	151	12	squared	square	VERB
fis-5061	151	13	error	error	NOUN
fis-5061	151	14	(	(	PUNCT
fis-5061	151	15	mse	mse	NOUN
fis-5061	151	16	)	)	PUNCT
fis-5061	151	17	,	,	PUNCT
fis-5061	151	18	mean	mean	VERB
fis-5061	151	19	absolute	absolute	ADJ
fis-5061	151	20	error	error	NOUN
fis-5061	151	21	(	(	PUNCT
fis-5061	151	22	mae	mae	PROPN
fis-5061	151	23	)	)	PUNCT
fis-5061	151	24	,	,	PUNCT
fis-5061	151	25	and	and	CCONJ
fis-5061	151	26	mean	mean	VERB
fis-5061	151	27	percentage	percentage	NOUN
fis-5061	151	28	error	error	NOUN
fis-5061	151	29	.	.	PUNCT
fis-5061	152	1	the	the	DET
fis-5061	152	2	epoch	epoch	NOUN
fis-5061	152	3	is	be	AUX
fis-5061	152	4	a	a	DET
fis-5061	152	5	crucial	crucial	ADJ
fis-5061	152	6	hyperparameter	hyperparameter	NOUN
fis-5061	152	7	that	that	PRON
fis-5061	152	8	represents	represent	VERB
fis-5061	152	9	the	the	DET
fis-5061	152	10	total	total	ADJ
fis-5061	152	11	number	number	NOUN
fis-5061	152	12	of	of	ADP
fis-5061	152	13	times	time	NOUN
fis-5061	152	14	the	the	DET
fis-5061	152	15	model	model	NOUN
fis-5061	152	16	observes	observe	VERB
fis-5061	152	17	the	the	DET
fis-5061	152	18	entire	entire	ADJ
fis-5061	152	19	dataset	dataset	NOUN
fis-5061	152	20	.	.	PUNCT
fis-5061	153	1	an	an	DET
fis-5061	153	2	increase	increase	NOUN
fis-5061	153	3	in	in	ADP
fis-5061	153	4	the	the	DET
fis-5061	153	5	number	number	NOUN
fis-5061	153	6	of	of	ADP
fis-5061	153	7	epochs	epoch	NOUN
fis-5061	153	8	is	be	AUX
fis-5061	153	9	recommended	recommend	VERB
fis-5061	153	10	when	when	SCONJ
fis-5061	153	11	the	the	DET
fis-5061	153	12	network	network	NOUN
fis-5061	153	13	is	be	AUX
fis-5061	153	14	trained	train	VERB
fis-5061	153	15	at	at	ADP
fis-5061	153	16	a	a	DET
fis-5061	153	17	very	very	ADV
fis-5061	153	18	low	low	ADJ
fis-5061	153	19	learning	learning	NOUN
fis-5061	153	20	rate	rate	NOUN
fis-5061	153	21	or	or	CCONJ
fis-5061	153	22	when	when	SCONJ
fis-5061	153	23	the	the	DET
fis-5061	153	24	batch	batch	NOUN
fis-5061	153	25	size	size	NOUN
fis-5061	153	26	is	be	AUX
fis-5061	153	27	undersized	undersized	ADJ
fis-5061	153	28	.	.	PUNCT
fis-5061	154	1	artificial	artificial	ADJ
fis-5061	154	2	neural	neural	ADJ
fis-5061	154	3	fuzzy	fuzzy	ADJ
fis-5061	154	4	inference	inference	NOUN
fis-5061	154	5	systems	system	NOUN
fis-5061	154	6	(	(	PUNCT
fis-5061	154	7	anfis	anfi	VERB
fis-5061	154	8	)	)	PUNCT
fis-5061	154	9	anfis	anfis	PROPN
fis-5061	154	10	is	be	AUX
fis-5061	154	11	a	a	DET
fis-5061	154	12	system	system	NOUN
fis-5061	154	13	that	that	PRON
fis-5061	154	14	integrates	integrate	VERB
fis-5061	154	15	neural	neural	ADJ
fis-5061	154	16	networks	network	NOUN
fis-5061	154	17	and	and	CCONJ
fis-5061	154	18	fuzzy	fuzzy	ADJ
fis-5061	154	19	logic	logic	NOUN
fis-5061	154	20	to	to	PART
fis-5061	154	21	handle	handle	VERB
fis-5061	154	22	uncertainties	uncertainty	NOUN
fis-5061	154	23	and	and	CCONJ
fis-5061	154	24	imprecise	imprecise	ADJ
fis-5061	154	25	data	datum	NOUN
fis-5061	154	26	,	,	PUNCT
fis-5061	154	27	enabling	enable	VERB
fis-5061	154	28	flexibility	flexibility	NOUN
fis-5061	154	29	in	in	ADP
fis-5061	154	30	complex	complex	ADJ
fis-5061	154	31	system	system	NOUN
fis-5061	154	32	modeling	modeling	NOUN
fis-5061	154	33	while	while	SCONJ
fis-5061	154	34	maintaining	maintain	VERB
fis-5061	154	35	interpretability	interpretability	NOUN
fis-5061	154	36	.	.	PUNCT
fis-5061	155	1	it	it	PRON
fis-5061	155	2	is	be	AUX
fis-5061	155	3	a	a	DET
fis-5061	155	4	computer	computer	NOUN
fis-5061	155	5	structure	structure	NOUN
fis-5061	155	6	that	that	PRON
fis-5061	155	7	establishes	establish	VERB
fis-5061	155	8	a	a	DET
fis-5061	155	9	hybrid	hybrid	ADJ
fis-5061	155	10	system	system	NOUN
fis-5061	155	11	by	by	ADP
fis-5061	155	12	fusing	fuse	VERB
fis-5061	155	13	the	the	DET
fis-5061	155	14	ideas	idea	NOUN
fis-5061	155	15	of	of	ADP
fis-5061	155	16	neural	neural	ADJ
fis-5061	155	17	networks	network	NOUN
fis-5061	155	18	with	with	ADP
fis-5061	155	19	fuzzy	fuzzy	ADJ
fis-5061	155	20	logic	logic	NOUN
fis-5061	155	21	.	.	PUNCT
fis-5061	156	1	anfis	anfis	PROPN
fis-5061	156	2	is	be	AUX
fis-5061	156	3	a	a	DET
fis-5061	156	4	machine	machine	NOUN
fis-5061	156	5	learning	learning	NOUN
fis-5061	156	6	method	method	NOUN
fis-5061	156	7	that	that	PRON
fis-5061	156	8	creates	create	VERB
fis-5061	156	9	a	a	DET
fis-5061	156	10	logical	logical	ADJ
fis-5061	156	11	link	link	NOUN
fis-5061	156	12	between	between	ADP
fis-5061	156	13	inputs	input	NOUN
fis-5061	156	14	and	and	CCONJ
fis-5061	156	15	outputs	output	NOUN
fis-5061	156	16	by	by	ADP
fis-5061	156	17	combining	combine	VERB
fis-5061	156	18	fuzzy	fuzzy	ADJ
fis-5061	156	19	logic	logic	NOUN
fis-5061	156	20	(	(	PUNCT
fis-5061	156	21	fl	fl	NOUN
fis-5061	156	22	)	)	PUNCT
fis-5061	156	23	theories	theory	NOUN
fis-5061	156	24	with	with	ADP
fis-5061	156	25	ann	ann	PROPN
fis-5061	156	26	rules	rule	NOUN
fis-5061	156	27	inside	inside	ADP
fis-5061	156	28	an	an	DET
fis-5061	156	29	adaptive	adaptive	ADJ
fis-5061	156	30	network	network	NOUN
fis-5061	156	31	architecture	architecture	NOUN
fis-5061	156	32	.	.	PUNCT
fis-5061	157	1	the	the	DET
fis-5061	157	2	anfis	anfis	ADJ
fis-5061	157	3	system	system	NOUN
fis-5061	157	4	can	can	AUX
fis-5061	157	5	effectively	effectively	ADV
fis-5061	157	6	model	model	VERB
fis-5061	157	7	complex	complex	ADJ
fis-5061	157	8	,	,	PUNCT
fis-5061	157	9	non	non	ADJ
fis-5061	157	10	-	-	ADJ
fis-5061	157	11	linear	linear	ADJ
fis-5061	157	12	relationships	relationship	NOUN
fis-5061	157	13	between	between	ADP
fis-5061	157	14	variables	variable	NOUN
fis-5061	157	15	,	,	PUNCT
fis-5061	157	16	making	make	VERB
fis-5061	157	17	it	it	PRON
fis-5061	157	18	interpretable	interpretable	ADJ
fis-5061	157	19	and	and	CCONJ
fis-5061	157	20	adaptable	adaptable	ADJ
fis-5061	157	21	.	.	PUNCT
fis-5061	158	1	by	by	ADP
fis-5061	158	2	leveraging	leverage	VERB
fis-5061	158	3	the	the	DET
fis-5061	158	4	strengths	strength	NOUN
fis-5061	158	5	of	of	ADP
fis-5061	158	6	both	both	CCONJ
fis-5061	158	7	neural	neural	ADJ
fis-5061	158	8	networks	network	NOUN
fis-5061	158	9	and	and	CCONJ
fis-5061	158	10	fuzzy	fuzzy	ADJ
fis-5061	158	11	logic	logic	NOUN
fis-5061	158	12	,	,	PUNCT
fis-5061	158	13	anfis	anfis	PROPN
fis-5061	158	14	can	can	AUX
fis-5061	158	15	provide	provide	VERB
fis-5061	158	16	accurate	accurate	ADJ
fis-5061	158	17	predictions	prediction	NOUN
fis-5061	158	18	and	and	CCONJ
fis-5061	158	19	classifications	classification	NOUN
fis-5061	158	20	in	in	ADP
fis-5061	158	21	various	various	ADJ
fis-5061	158	22	applications	application	NOUN
fis-5061	158	23	.	.	PUNCT
fis-5061	159	1	the	the	DET
fis-5061	159	2	anfis	anfis	PROPN
fis-5061	159	3	model	model	NOUN
fis-5061	159	4	has	have	VERB
fis-5061	159	5	five	five	NUM
fis-5061	159	6	levels	level	NOUN
fis-5061	159	7	,	,	PUNCT
fis-5061	159	8	and	and	CCONJ
fis-5061	159	9	there	there	PRON
fis-5061	159	10	are	be	VERB
fis-5061	159	11	many	many	ADJ
fis-5061	159	12	nodes	node	NOUN
fis-5061	159	13	connecting	connect	VERB
fis-5061	159	14	them	they	PRON
fis-5061	159	15	.	.	PUNCT
fis-5061	160	1	the	the	DET
fis-5061	160	2	layer	layer	NOUN
fis-5061	160	3	before	before	SCONJ
fis-5061	160	4	it	it	PRON
fis-5061	160	5	extends	extend	VERB
fis-5061	160	6	each	each	DET
fis-5061	160	7	input	input	NOUN
fis-5061	160	8	node	node	NOUN
fis-5061	160	9	.	.	PUNCT
fis-5061	161	1	five	five	NUM
fis-5061	161	2	different	different	ADJ
fis-5061	161	3	layers	layer	NOUN
fis-5061	161	4	are	be	AUX
fis-5061	161	5	used	use	VERB
fis-5061	161	6	to	to	PART
fis-5061	161	7	create	create	VERB
fis-5061	161	8	an	an	DET
fis-5061	161	9	inference	inference	NOUN
fis-5061	161	10	system	system	NOUN
fis-5061	161	11	:	:	PUNCT
fis-5061	161	12	the	the	DET
fis-5061	161	13	fuzzy	fuzzy	ADJ
fis-5061	161	14	layer	layer	NOUN
fis-5061	161	15	,	,	PUNCT
fis-5061	161	16	product	product	NOUN
fis-5061	161	17	layer	layer	NOUN
fis-5061	161	18	,	,	PUNCT
fis-5061	161	19	normalized	normalize	VERB
fis-5061	161	20	layer	layer	NOUN
fis-5061	161	21	,	,	PUNCT
fis-5061	161	22	de	de	ADJ
fis-5061	161	23	-	-	ADJ
fis-5061	161	24	fuzzy	fuzzy	ADJ
fis-5061	161	25	layer	layer	NOUN
fis-5061	161	26	,	,	PUNCT
fis-5061	161	27	and	and	CCONJ
fis-5061	161	28	the	the	DET
fis-5061	161	29	total	total	ADJ
fis-5061	161	30	output	output	NOUN
fis-5061	161	31	layer	layer	NOUN
fis-5061	161	32	,	,	PUNCT
fis-5061	161	33	which	which	PRON
fis-5061	161	34	is	be	AUX
fis-5061	161	35	the	the	DET
fis-5061	161	36	typical	typical	ADJ
fis-5061	161	37	anfis	anfis	ADJ
fis-5061	161	38	architecture	architecture	NOUN
fis-5061	161	39	,	,	PUNCT
fis-5061	161	40	as	as	SCONJ
fis-5061	161	41	shown	show	VERB
fis-5061	161	42	in	in	ADP
fis-5061	161	43	fig	fig	NOUN
fis-5061	161	44	.	.	PUNCT
fis-5061	162	1	4	4	X
fis-5061	162	2	.	.	X
fis-5061	162	3	figure	figure	VERB
fis-5061	162	4	4	4	NUM
fis-5061	162	5	:	:	PUNCT
fis-5061	162	6	general	general	ADJ
fis-5061	162	7	anfis	anfis	ADJ
fis-5061	162	8	architecture	architecture	NOUN
fis-5061	162	9	.	.	PUNCT
fis-5061	163	1	the	the	DET
fis-5061	163	2	fuzzification	fuzzification	NOUN
fis-5061	163	3	layer	layer	NOUN
fis-5061	163	4	(	(	PUNCT
fis-5061	163	5	layer	layer	NOUN
fis-5061	163	6	1	1	NUM
fis-5061	163	7	)	)	PUNCT
fis-5061	163	8	converts	convert	VERB
fis-5061	163	9	the	the	DET
fis-5061	163	10	input	input	NOUN
fis-5061	163	11	space	space	NOUN
fis-5061	163	12	into	into	ADP
fis-5061	163	13	fuzzy	fuzzy	ADJ
fis-5061	163	14	membership	membership	NOUN
fis-5061	163	15	functions	function	NOUN
fis-5061	163	16	that	that	PRON
fis-5061	163	17	are	be	AUX
fis-5061	163	18	subsequently	subsequently	ADV
fis-5061	163	19	translated	translate	VERB
fis-5061	163	20	into	into	ADP
fis-5061	163	21	linguistic	linguistic	ADJ
fis-5061	163	22	categories	category	NOUN
fis-5061	163	23	.	.	PUNCT
fis-5061	164	1	the	the	DET
fis-5061	164	2	product	product	NOUN
fis-5061	164	3	layer	layer	NOUN
fis-5061	164	4	(	(	PUNCT
fis-5061	164	5	layer	layer	NOUN
fis-5061	164	6	2	2	NUM
fis-5061	164	7	)	)	PUNCT
fis-5061	164	8	defines	define	VERB
fis-5061	164	9	the	the	DET
fis-5061	164	10	level	level	NOUN
fis-5061	164	11	of	of	ADP
fis-5061	164	12	membership	membership	NOUN
fis-5061	164	13	for	for	ADP
fis-5061	164	14	each	each	DET
fis-5061	164	15	rule	rule	NOUN
fis-5061	164	16	.	.	PUNCT
fis-5061	165	1	each	each	DET
fis-5061	165	2	node	node	NOUN
fis-5061	165	3	in	in	ADP
fis-5061	165	4	this	this	DET
fis-5061	165	5	layer	layer	NOUN
fis-5061	165	6	computes	compute	VERB
fis-5061	165	7	the	the	DET
fis-5061	165	8	firing	firing	NOUN
fis-5061	165	9	strength	strength	NOUN
fis-5061	165	10	of	of	ADP
fis-5061	165	11	a	a	DET
fis-5061	165	12	particular	particular	ADJ
fis-5061	165	13	rule	rule	NOUN
fis-5061	165	14	by	by	ADP
fis-5061	165	15	multiplying	multiply	VERB
fis-5061	165	16	the	the	DET
fis-5061	165	17	membership	membership	NOUN
fis-5061	165	18	grades	grade	NOUN
fis-5061	165	19	of	of	ADP
fis-5061	165	20	the	the	DET
fis-5061	165	21	input	input	NOUN
fis-5061	165	22	variables	variable	NOUN
fis-5061	165	23	associated	associate	VERB
fis-5061	165	24	with	with	ADP
fis-5061	165	25	it	it	PRON
fis-5061	165	26	.	.	PUNCT
fis-5061	166	1	the	the	DET
fis-5061	166	2	normalization	normalization	NOUN
fis-5061	166	3	layer	layer	NOUN
fis-5061	166	4	(	(	PUNCT
fis-5061	166	5	layer	layer	NOUN
fis-5061	166	6	3	3	NUM
fis-5061	166	7	)	)	PUNCT
fis-5061	166	8	normalizes	normalize	VERB
fis-5061	166	9	the	the	DET
fis-5061	166	10	firing	firing	NOUN
fis-5061	166	11	strengths	strength	NOUN
fis-5061	166	12	obtained	obtain	VERB
fis-5061	166	13	from	from	ADP
fis-5061	166	14	the	the	DET
fis-5061	166	15	product	product	NOUN
fis-5061	166	16	layer	layer	NOUN
fis-5061	166	17	.	.	PUNCT
fis-5061	167	1	it	it	PRON
fis-5061	167	2	ensures	ensure	VERB
fis-5061	167	3	that	that	SCONJ
fis-5061	167	4	the	the	DET
fis-5061	167	5	sum	sum	NOUN
fis-5061	167	6	of	of	ADP
fis-5061	167	7	all	all	DET
fis-5061	167	8	firing	firing	NOUN
fis-5061	167	9	strengths	strength	NOUN
fis-5061	167	10	equals	equal	VERB
fis-5061	167	11	one	one	NUM
fis-5061	167	12	,	,	PUNCT
fis-5061	167	13	yielding	yield	VERB
fis-5061	167	14	a	a	DET
fis-5061	167	15	proper	proper	ADJ
fis-5061	167	16	probability	probability	NOUN
fis-5061	167	17	distribution	distribution	NOUN
fis-5061	167	18	.	.	PUNCT
fis-5061	168	1	the	the	DET
fis-5061	168	2	defuzzification	defuzzification	NOUN
fis-5061	168	3	layer	layer	NOUN
fis-5061	168	4	(	(	PUNCT
fis-5061	168	5	layer	layer	NOUN
fis-5061	168	6	4	4	NUM
fis-5061	168	7	)	)	PUNCT
fis-5061	168	8	calculates	calculate	VERB
fis-5061	168	9	the	the	DET
fis-5061	168	10	crisp	crisp	ADJ
fis-5061	168	11	output	output	NOUN
fis-5061	168	12	depending	depend	VERB
fis-5061	168	13	on	on	ADP
fis-5061	168	14	the	the	DET
fis-5061	168	15	firing	firing	NOUN
fis-5061	168	16	strengths	strength	NOUN
fis-5061	168	17	of	of	ADP
fis-5061	168	18	the	the	DET
fis-5061	168	19	rules	rule	NOUN
fis-5061	168	20	.	.	PUNCT
fis-5061	169	1	the	the	DET
fis-5061	169	2	output	output	NOUN
fis-5061	169	3	layer	layer	NOUN
fis-5061	169	4	(	(	PUNCT
fis-5061	169	5	layer	layer	NOUN
fis-5061	169	6	5	5	NUM
fis-5061	169	7	)	)	PUNCT
fis-5061	169	8	generates	generate	VERB
fis-5061	169	9	the	the	DET
fis-5061	169	10	anfis	anfis	PROPN
fis-5061	169	11	model	model	NOUN
fis-5061	169	12	's	's	PART
fis-5061	169	13	final	final	ADJ
fis-5061	169	14	output	output	NOUN
fis-5061	169	15	.	.	PUNCT
fis-5061	170	1	this	this	DET
fis-5061	170	2	layer	layer	NOUN
fis-5061	170	3	is	be	AUX
fis-5061	170	4	just	just	ADV
fis-5061	170	5	a	a	DET
fis-5061	170	6	linear	linear	ADJ
fis-5061	170	7	combination	combination	NOUN
fis-5061	170	8	of	of	ADP
fis-5061	170	9	the	the	DET
fis-5061	170	10	normalized	normalize	VERB
fis-5061	170	11	firing	firing	NOUN
fis-5061	170	12	strengths	strength	NOUN
fis-5061	170	13	and	and	CCONJ
fis-5061	170	14	the	the	DET
fis-5061	170	15	corresponding	corresponding	ADJ
fis-5061	170	16	rule	rule	NOUN
fis-5061	170	17	outputs	output	NOUN
fis-5061	170	18	.	.	PUNCT
fis-5061	171	1	in	in	ADP
fis-5061	171	2	summary	summary	NOUN
fis-5061	171	3	,	,	PUNCT
fis-5061	171	4	the	the	DET
fis-5061	171	5	product	product	NOUN
fis-5061	171	6	layer	layer	NOUN
fis-5061	171	7	determines	determine	VERB
fis-5061	171	8	each	each	DET
fis-5061	171	9	rule	rule	NOUN
fis-5061	171	10	's	's	PART
fis-5061	171	11	firing	firing	NOUN
fis-5061	171	12	strength	strength	NOUN
fis-5061	171	13	,	,	PUNCT
fis-5061	171	14	whereas	whereas	SCONJ
fis-5061	171	15	the	the	DET
fis-5061	171	16	fuzzy	fuzzy	ADJ
fis-5061	171	17	layer	layer	NOUN
fis-5061	171	18	determines	determine	VERB
fis-5061	171	19	the	the	DET
fis-5061	171	20	membership	membership	NOUN
fis-5061	171	21	grades	grade	NOUN
fis-5061	171	22	of	of	ADP
fis-5061	171	23	the	the	DET
fis-5061	171	24	input	input	NOUN
fis-5061	171	25	variables	variable	NOUN
fis-5061	171	26	.	.	PUNCT
fis-5061	172	1	the	the	DET
fis-5061	172	2	final	final	ADJ
fis-5061	172	3	output	output	NOUN
fis-5061	172	4	is	be	AUX
fis-5061	172	5	achieved	achieve	VERB
fis-5061	172	6	by	by	ADP
fis-5061	172	7	combining	combine	VERB
fis-5061	172	8	firing	firing	NOUN
fis-5061	172	9	strengths	strength	NOUN
fis-5061	172	10	with	with	ADP
fis-5061	172	11	the	the	DET
fis-5061	172	12	de	de	ADJ
fis-5061	172	13	-	-	ADJ
fis-5061	172	14	fuzzy	fuzzy	ADJ
fis-5061	172	15	layer	layer	NOUN
fis-5061	172	16	after	after	ADP
fis-5061	172	17	normalization	normalization	NOUN
fis-5061	172	18	by	by	ADP
fis-5061	172	19	the	the	DET
fis-5061	172	20	normalized	normalize	VERB
fis-5061	172	21	layer	layer	NOUN
fis-5061	172	22	.	.	PUNCT
fis-5061	173	1	anfis	anfis	PROPN
fis-5061	173	2	can	can	AUX
fis-5061	173	3	efficiently	efficiently	ADV
fis-5061	173	4	capture	capture	VERB
fis-5061	173	5	and	and	CCONJ
fis-5061	173	6	depict	depict	VERB
fis-5061	173	7	complicated	complicated	ADJ
fis-5061	173	8	relationships	relationship	NOUN
fis-5061	173	9	in	in	ADP
fis-5061	173	10	data	datum	NOUN
fis-5061	173	11	because	because	SCONJ
fis-5061	173	12	of	of	ADP
fis-5061	173	13	its	its	PRON
fis-5061	173	14	multi	multi	ADJ
fis-5061	173	15	-	-	ADJ
fis-5061	173	16	layered	layered	ADJ
fis-5061	173	17	methodology	methodology	NOUN
fis-5061	173	18	.	.	PUNCT
fis-5061	174	1	p.	p.	NOUN
fis-5061	174	2	kulkarni	kulkarni	PROPN
fis-5061	174	3	et	et	PROPN
fis-5061	174	4	alii	alii	PROPN
fis-5061	174	5	,	,	PUNCT
fis-5061	174	6	frattura	frattura	PROPN
fis-5061	174	7	ed	ed	PROPN
fis-5061	174	8	integrità	integrità	PROPN
fis-5061	174	9	strutturale	strutturale	PROPN
fis-5061	174	10	,	,	PUNCT
fis-5061	174	11	70	70	NUM
fis-5061	174	12	(	(	PUNCT
fis-5061	174	13	2024	2024	NUM
fis-5061	174	14	)	)	PUNCT
fis-5061	174	15	71	71	NUM
fis-5061	174	16	-	-	SYM
fis-5061	174	17	90	90	NUM
fis-5061	174	18	;	;	PUNCT
fis-5061	174	19	doi	doi	NOUN
fis-5061	174	20	:	:	PUNCT
fis-5061	174	21	10.3221	10.3221	NUM
fis-5061	174	22	/	/	SYM
fis-5061	174	23	igf	igf	PROPN
fis-5061	174	24	-	-	PROPN
fis-5061	174	25	esis.70.04	esis.70.04	PROPN
fis-5061	174	26	77	77	NUM
fis-5061	174	27	training	training	NOUN
fis-5061	174	28	of	of	ADP
fis-5061	174	29	an	an	DET
fis-5061	174	30	anfis	anfis	ADJ
fis-5061	174	31	model	model	NOUN
fis-5061	174	32	the	the	DET
fis-5061	174	33	anfis	anfis	ADJ
fis-5061	174	34	process	process	NOUN
fis-5061	174	35	involves	involve	VERB
fis-5061	174	36	defining	define	VERB
fis-5061	174	37	input	input	NOUN
fis-5061	174	38	variables	variable	NOUN
fis-5061	174	39	,	,	PUNCT
fis-5061	174	40	normalizing	normalize	VERB
fis-5061	174	41	the	the	DET
fis-5061	174	42	data	datum	NOUN
fis-5061	174	43	,	,	PUNCT
fis-5061	174	44	dividing	divide	VERB
fis-5061	174	45	the	the	DET
fis-5061	174	46	dataset	dataset	NOUN
fis-5061	174	47	into	into	ADP
fis-5061	174	48	training	training	NOUN
fis-5061	174	49	and	and	CCONJ
fis-5061	174	50	testing	testing	NOUN
fis-5061	174	51	subsets	subset	NOUN
fis-5061	174	52	,	,	PUNCT
fis-5061	174	53	and	and	CCONJ
fis-5061	174	54	defining	define	VERB
fis-5061	174	55	the	the	DET
fis-5061	174	56	initial	initial	ADJ
fis-5061	174	57	fuzzy	fuzzy	ADJ
fis-5061	174	58	inference	inference	NOUN
fis-5061	174	59	system	system	NOUN
fis-5061	174	60	.	.	PUNCT
fis-5061	175	1	the	the	DET
fis-5061	175	2	anfis	anfis	PROPN
fis-5061	175	3	model	model	NOUN
fis-5061	175	4	is	be	AUX
fis-5061	175	5	trained	train	VERB
fis-5061	175	6	,	,	PUNCT
fis-5061	175	7	with	with	ADP
fis-5061	175	8	output	output	NOUN
fis-5061	175	9	calculated	calculate	VERB
fis-5061	175	10	using	use	VERB
fis-5061	175	11	fuzzy	fuzzy	ADJ
fis-5061	175	12	rules	rule	NOUN
fis-5061	175	13	and	and	CCONJ
fis-5061	175	14	parameters	parameter	NOUN
fis-5061	175	15	updated	update	VERB
fis-5061	175	16	using	use	VERB
fis-5061	175	17	learning	learn	VERB
fis-5061	175	18	algorithms	algorithm	NOUN
fis-5061	175	19	.	.	PUNCT
fis-5061	176	1	the	the	DET
fis-5061	176	2	model	model	NOUN
fis-5061	176	3	is	be	AUX
fis-5061	176	4	evaluated	evaluate	VERB
fis-5061	176	5	,	,	PUNCT
fis-5061	176	6	with	with	ADP
fis-5061	176	7	the	the	DET
fis-5061	176	8	mean	mean	ADJ
fis-5061	176	9	squared	square	VERB
fis-5061	176	10	error	error	NOUN
fis-5061	176	11	and	and	CCONJ
fis-5061	176	12	the	the	DET
fis-5061	176	13	root	root	NOUN
fis-5061	176	14	mean	mean	VERB
fis-5061	176	15	squared	square	VERB
fis-5061	176	16	error	error	NOUN
fis-5061	176	17	.	.	PUNCT
fis-5061	177	1	by	by	ADP
fis-5061	177	2	fine	fine	ADV
fis-5061	177	3	-	-	PUNCT
fis-5061	177	4	tuning	tune	VERB
fis-5061	177	5	its	its	PRON
fis-5061	177	6	parameters	parameter	NOUN
fis-5061	177	7	,	,	PUNCT
fis-5061	177	8	the	the	DET
fis-5061	177	9	model	model	NOUN
fis-5061	177	10	is	be	AUX
fis-5061	177	11	verified	verify	VERB
fis-5061	177	12	using	use	VERB
fis-5061	177	13	the	the	DET
fis-5061	177	14	testing	testing	NOUN
fis-5061	177	15	dataset	dataset	VERB
fis-5061	177	16	before	before	ADP
fis-5061	177	17	being	be	AUX
fis-5061	177	18	used	use	VERB
fis-5061	177	19	to	to	PART
fis-5061	177	20	make	make	VERB
fis-5061	177	21	predictions	prediction	NOUN
fis-5061	177	22	on	on	ADP
fis-5061	177	23	fresh	fresh	ADJ
fis-5061	177	24	data	datum	NOUN
fis-5061	177	25	.	.	PUNCT
fis-5061	178	1	training	train	VERB
fis-5061	178	2	an	an	DET
fis-5061	178	3	anfis	anfis	ADJ
fis-5061	178	4	model	model	NOUN
fis-5061	178	5	involves	involve	VERB
fis-5061	178	6	the	the	DET
fis-5061	178	7	following	follow	VERB
fis-5061	178	8	steps	step	NOUN
fis-5061	178	9	as	as	SCONJ
fis-5061	178	10	shown	show	VERB
fis-5061	178	11	in	in	ADP
fis-5061	178	12	fig	fig	NOUN
fis-5061	178	13	.	.	PUNCT
fis-5061	179	1	5	5	X
fis-5061	179	2	.	.	X
fis-5061	179	3	figure	figure	NOUN
fis-5061	179	4	5	5	NUM
fis-5061	179	5	:	:	PUNCT
fis-5061	179	6	steps	step	NOUN
fis-5061	179	7	for	for	ADP
fis-5061	179	8	training	training	NOUN
fis-5061	179	9	of	of	ADP
fis-5061	179	10	an	an	DET
fis-5061	179	11	anfis	anfis	ADJ
fis-5061	179	12	model	model	NOUN
fis-5061	179	13	.	.	PUNCT
fis-5061	180	1	determining	determine	VERB
fis-5061	180	2	membership	membership	NOUN
fis-5061	180	3	functions	function	NOUN
fis-5061	180	4	(	(	PUNCT
fis-5061	180	5	mfs	mfs	PROPN
fis-5061	180	6	)	)	PUNCT
fis-5061	180	7	,	,	PUNCT
fis-5061	180	8	or	or	CCONJ
fis-5061	180	9	the	the	DET
fis-5061	180	10	form	form	NOUN
fis-5061	180	11	of	of	ADP
fis-5061	180	12	fuzzy	fuzzy	ADJ
fis-5061	180	13	sets	set	NOUN
fis-5061	180	14	,	,	PUNCT
fis-5061	180	15	creating	create	VERB
fis-5061	180	16	fuzzy	fuzzy	ADJ
fis-5061	180	17	rules	rule	NOUN
fis-5061	180	18	based	base	VERB
fis-5061	180	19	on	on	ADP
fis-5061	180	20	domain	domain	NOUN
fis-5061	180	21	knowledge	knowledge	NOUN
fis-5061	180	22	,	,	PUNCT
fis-5061	180	23	training	train	VERB
fis-5061	180	24	an	an	DET
fis-5061	180	25	anfis	anfis	ADJ
fis-5061	180	26	model	model	NOUN
fis-5061	180	27	with	with	ADP
fis-5061	180	28	the	the	DET
fis-5061	180	29	right	right	ADJ
fis-5061	180	30	algorithms	algorithm	NOUN
fis-5061	180	31	to	to	PART
fis-5061	180	32	modify	modify	VERB
fis-5061	180	33	parameters	parameter	NOUN
fis-5061	180	34	,	,	PUNCT
fis-5061	180	35	and	and	CCONJ
fis-5061	180	36	lastly	lastly	ADV
fis-5061	180	37	evaluating	evaluate	VERB
fis-5061	180	38	an	an	DET
fis-5061	180	39	anfis	anfis	ADJ
fis-5061	180	40	model	model	NOUN
fis-5061	180	41	to	to	PART
fis-5061	180	42	periodically	periodically	ADV
fis-5061	180	43	evaluate	evaluate	VERB
fis-5061	180	44	model	model	NOUN
fis-5061	180	45	performance	performance	NOUN
fis-5061	180	46	are	be	AUX
fis-5061	180	47	crucial	crucial	ADJ
fis-5061	180	48	steps	step	NOUN
fis-5061	180	49	in	in	ADP
fis-5061	180	50	the	the	DET
fis-5061	180	51	training	training	NOUN
fis-5061	180	52	process	process	NOUN
fis-5061	180	53	.	.	PUNCT
fis-5061	181	1	these	these	DET
fis-5061	181	2	steps	step	NOUN
fis-5061	181	3	are	be	AUX
fis-5061	181	4	essential	essential	ADJ
fis-5061	181	5	in	in	ADP
fis-5061	181	6	ensuring	ensure	VERB
fis-5061	181	7	that	that	SCONJ
fis-5061	181	8	the	the	DET
fis-5061	181	9	anfis	anfis	PROPN
fis-5061	181	10	model	model	NOUN
fis-5061	181	11	accurately	accurately	ADV
fis-5061	181	12	captures	capture	VERB
fis-5061	181	13	the	the	DET
fis-5061	181	14	underlying	underlie	VERB
fis-5061	181	15	relationships	relationship	NOUN
fis-5061	181	16	in	in	ADP
fis-5061	181	17	the	the	DET
fis-5061	181	18	data	datum	NOUN
fis-5061	181	19	and	and	CCONJ
fis-5061	181	20	makes	make	VERB
fis-5061	181	21	accurate	accurate	ADJ
fis-5061	181	22	predictions	prediction	NOUN
fis-5061	181	23	.	.	PUNCT
fis-5061	182	1	properly	properly	ADV
fis-5061	182	2	tuning	tune	VERB
fis-5061	182	3	the	the	DET
fis-5061	182	4	membership	membership	NOUN
fis-5061	182	5	functions	function	NOUN
fis-5061	182	6	and	and	CCONJ
fis-5061	182	7	fuzzy	fuzzy	ADJ
fis-5061	182	8	rules	rule	NOUN
fis-5061	182	9	is	be	AUX
fis-5061	182	10	key	key	ADJ
fis-5061	182	11	to	to	ADP
fis-5061	182	12	improving	improve	VERB
fis-5061	182	13	the	the	DET
fis-5061	182	14	model	model	NOUN
fis-5061	182	15	's	's	PART
fis-5061	182	16	performance	performance	NOUN
fis-5061	182	17	and	and	CCONJ
fis-5061	182	18	predictive	predictive	ADJ
fis-5061	182	19	capabilities	capability	NOUN
fis-5061	182	20	.	.	PUNCT
fis-5061	183	1	furthermore	furthermore	ADV
fis-5061	183	2	,	,	PUNCT
fis-5061	183	3	the	the	DET
fis-5061	183	4	accuracy	accuracy	NOUN
fis-5061	183	5	and	and	CCONJ
fis-5061	183	6	generalization	generalization	NOUN
fis-5061	183	7	capacity	capacity	NOUN
fis-5061	183	8	of	of	ADP
fis-5061	183	9	the	the	DET
fis-5061	183	10	anfis	anfis	ADJ
fis-5061	183	11	model	model	NOUN
fis-5061	183	12	may	may	AUX
fis-5061	183	13	be	be	AUX
fis-5061	183	14	improved	improve	VERB
fis-5061	183	15	by	by	ADP
fis-5061	183	16	iteratively	iteratively	ADV
fis-5061	183	17	training	train	VERB
fis-5061	183	18	it	it	PRON
fis-5061	183	19	and	and	CCONJ
fis-5061	183	20	fine	fine	ADV
fis-5061	183	21	-	-	PUNCT
fis-5061	183	22	tuning	tune	VERB
fis-5061	183	23	its	its	PRON
fis-5061	183	24	parameters	parameter	NOUN
fis-5061	183	25	.	.	PUNCT
fis-5061	184	1	the	the	DET
fis-5061	184	2	predictive	predictive	ADJ
fis-5061	184	3	capacity	capacity	NOUN
fis-5061	184	4	and	and	CCONJ
fis-5061	184	5	dependability	dependability	NOUN
fis-5061	184	6	of	of	ADP
fis-5061	184	7	the	the	DET
fis-5061	184	8	model	model	NOUN
fis-5061	184	9	in	in	ADP
fis-5061	184	10	practical	practical	ADJ
fis-5061	184	11	applications	application	NOUN
fis-5061	184	12	may	may	AUX
fis-5061	184	13	be	be	AUX
fis-5061	184	14	further	far	ADV
fis-5061	184	15	increased	increase	VERB
fis-5061	184	16	by	by	ADP
fis-5061	184	17	routinely	routinely	ADV
fis-5061	184	18	updating	update	VERB
fis-5061	184	19	and	and	CCONJ
fis-5061	184	20	improving	improve	VERB
fis-5061	184	21	it	it	PRON
fis-5061	184	22	considering	consider	VERB
fis-5061	184	23	fresh	fresh	ADJ
fis-5061	184	24	information	information	NOUN
fis-5061	184	25	or	or	CCONJ
fis-5061	184	26	insights	insight	NOUN
fis-5061	184	27	.	.	PUNCT
fis-5061	185	1	a	a	DET
fis-5061	185	2	typical	typical	ADJ
fis-5061	185	3	proposed	propose	VERB
fis-5061	185	4	anfis	anfis	ADJ
fis-5061	185	5	architecture	architecture	NOUN
fis-5061	185	6	in	in	ADP
fis-5061	185	7	the	the	DET
fis-5061	185	8	present	present	ADJ
fis-5061	185	9	study	study	NOUN
fis-5061	185	10	is	be	AUX
fis-5061	185	11	as	as	SCONJ
fis-5061	185	12	shown	show	VERB
fis-5061	185	13	in	in	ADP
fis-5061	185	14	fig	fig	NOUN
fis-5061	185	15	.	.	PUNCT
fis-5061	186	1	6	6	NUM
fis-5061	186	2	.	.	X
fis-5061	186	3	results	result	NOUN
fis-5061	186	4	and	and	CCONJ
fis-5061	186	5	discussion	discussion	NOUN
fis-5061	186	6	hear	hear	VERB
fis-5061	186	7	instability	instability	NOUN
fis-5061	186	8	,	,	PUNCT
fis-5061	186	9	localized	localized	ADJ
fis-5061	186	10	deformation	deformation	NOUN
fis-5061	186	11	,	,	PUNCT
fis-5061	186	12	and	and	CCONJ
fis-5061	186	13	intermetallic	intermetallic	ADJ
fis-5061	186	14	phases	phase	NOUN
fis-5061	186	15	all	all	PRON
fis-5061	186	16	pose	pose	VERB
fis-5061	186	17	problems	problem	NOUN
fis-5061	186	18	for	for	ADP
fis-5061	186	19	inconel	inconel	NOUN
fis-5061	186	20	718	718	NUM
fis-5061	186	21	machining	machining	NOUN
fis-5061	186	22	,	,	PUNCT
fis-5061	186	23	affecting	affect	VERB
fis-5061	186	24	tool	tool	NOUN
fis-5061	186	25	wear	wear	NOUN
fis-5061	186	26	,	,	PUNCT
fis-5061	186	27	surface	surface	NOUN
fis-5061	186	28	integrity	integrity	NOUN
fis-5061	186	29	,	,	PUNCT
fis-5061	186	30	cutting	cut	VERB
fis-5061	186	31	forces	force	NOUN
fis-5061	186	32	,	,	PUNCT
fis-5061	186	33	and	and	CCONJ
fis-5061	186	34	overall	overall	ADJ
fis-5061	186	35	machinability	machinability	NOUN
fis-5061	186	36	.	.	PUNCT
fis-5061	187	1	for	for	ADP
fis-5061	187	2	sustainable	sustainable	ADJ
fis-5061	187	3	and	and	CCONJ
fis-5061	187	4	effective	effective	ADJ
fis-5061	187	5	machining	machining	NOUN
fis-5061	187	6	,	,	PUNCT
fis-5061	187	7	research	research	NOUN
fis-5061	187	8	on	on	ADP
fis-5061	187	9	the	the	DET
fis-5061	187	10	machinability	machinability	NOUN
fis-5061	187	11	of	of	ADP
fis-5061	187	12	nickel	nickel	NOUN
fis-5061	187	13	alloys	alloy	NOUN
fis-5061	187	14	highlights	highlight	VERB
fis-5061	187	15	the	the	DET
fis-5061	187	16	importance	importance	NOUN
fis-5061	187	17	of	of	ADP
fis-5061	187	18	choosing	choose	VERB
fis-5061	187	19	the	the	DET
fis-5061	187	20	right	right	ADJ
fis-5061	187	21	process	process	NOUN
fis-5061	187	22	parameters	parameter	NOUN
fis-5061	187	23	and	and	CCONJ
fis-5061	187	24	considering	consider	VERB
fis-5061	187	25	elements	element	NOUN
fis-5061	187	26	like	like	ADP
fis-5061	187	27	tool	tool	NOUN
fis-5061	187	28	shape	shape	NOUN
fis-5061	187	29	,	,	PUNCT
fis-5061	187	30	material	material	NOUN
fis-5061	187	31	,	,	PUNCT
fis-5061	187	32	and	and	CCONJ
fis-5061	187	33	cooling	cool	VERB
fis-5061	187	34	methods	method	NOUN
fis-5061	187	35	.	.	PUNCT
fis-5061	188	1	this	this	DET
fis-5061	188	2	section	section	NOUN
fis-5061	188	3	explores	explore	VERB
fis-5061	188	4	the	the	DET
fis-5061	188	5	development	development	NOUN
fis-5061	188	6	of	of	ADP
fis-5061	188	7	an	an	DET
fis-5061	188	8	ann	ann	PROPN
fis-5061	188	9	and	and	CCONJ
fis-5061	188	10	anfis	anfis	ADJ
fis-5061	188	11	models	model	NOUN
fis-5061	188	12	for	for	ADP
fis-5061	188	13	cutting	cut	VERB
fis-5061	188	14	force	force	NOUN
fis-5061	188	15	,	,	PUNCT
fis-5061	188	16	surface	surface	NOUN
fis-5061	188	17	roughness	roughness	NOUN
fis-5061	188	18	,	,	PUNCT
fis-5061	188	19	and	and	CCONJ
fis-5061	188	20	tool	tool	NOUN
fis-5061	188	21	life	life	NOUN
fis-5061	188	22	during	during	ADP
fis-5061	188	23	the	the	DET
fis-5061	188	24	turning	turning	NOUN
fis-5061	188	25	of	of	ADP
fis-5061	188	26	inconel	inconel	NOUN
fis-5061	188	27	718	718	NUM
fis-5061	188	28	with	with	ADP
fis-5061	188	29	hybrid	hybrid	ADJ
fis-5061	188	30	nanofluid	nanofluid	NOUN
fis-5061	188	31	under	under	ADP
fis-5061	188	32	mql	mql	PROPN
fis-5061	188	33	.	.	PUNCT
fis-5061	189	1	initially	initially	ADV
fis-5061	189	2	,	,	PUNCT
fis-5061	189	3	experimental	experimental	ADJ
fis-5061	189	4	results	result	NOUN
fis-5061	189	5	varying	vary	VERB
fis-5061	189	6	with	with	ADP
fis-5061	189	7	cutting	cut	VERB
fis-5061	189	8	parameters	parameter	NOUN
fis-5061	189	9	and	and	CCONJ
fis-5061	189	10	the	the	DET
fis-5061	189	11	assessment	assessment	NOUN
fis-5061	189	12	of	of	ADP
fis-5061	189	13	tool	tool	NOUN
fis-5061	189	14	wear	wear	NOUN
fis-5061	189	15	,	,	PUNCT
fis-5061	189	16	its	its	PRON
fis-5061	189	17	forms	form	NOUN
fis-5061	189	18	,	,	PUNCT
fis-5061	189	19	and	and	CCONJ
fis-5061	189	20	s	s	PROPN
fis-5061	189	21	p.	p.	PROPN
fis-5061	189	22	kulkarni	kulkarni	PROPN
fis-5061	189	23	et	et	PROPN
fis-5061	189	24	alii	alii	PROPN
fis-5061	189	25	,	,	PUNCT
fis-5061	189	26	frattura	frattura	PROPN
fis-5061	189	27	ed	ed	PROPN
fis-5061	189	28	integrità	integrità	PROPN
fis-5061	189	29	strutturale	strutturale	PROPN
fis-5061	189	30	,	,	PUNCT
fis-5061	189	31	70	70	NUM
fis-5061	189	32	(	(	PUNCT
fis-5061	189	33	2024	2024	NUM
fis-5061	189	34	)	)	PUNCT
fis-5061	189	35	71	71	NUM
fis-5061	189	36	-	-	SYM
fis-5061	189	37	90	90	NUM
fis-5061	189	38	;	;	PUNCT
fis-5061	189	39	doi	doi	NOUN
fis-5061	189	40	:	:	PUNCT
fis-5061	189	41	10.3221	10.3221	NUM
fis-5061	189	42	/	/	SYM
fis-5061	189	43	igf	igf	PROPN
fis-5061	189	44	-	-	PROPN
fis-5061	189	45	esis.70.04	esis.70.04	PROPN
fis-5061	189	46	78	78	NUM
fis-5061	189	47	wear	wear	NOUN
fis-5061	189	48	mechanisms	mechanism	NOUN
fis-5061	189	49	are	be	AUX
fis-5061	189	50	discussed	discuss	VERB
fis-5061	189	51	.	.	PUNCT
fis-5061	190	1	further	far	ADV
fis-5061	190	2	,	,	PUNCT
fis-5061	190	3	this	this	DET
fis-5061	190	4	section	section	NOUN
fis-5061	190	5	evaluates	evaluate	VERB
fis-5061	190	6	the	the	DET
fis-5061	190	7	effectiveness	effectiveness	NOUN
fis-5061	190	8	of	of	ADP
fis-5061	190	9	ann	ann	PROPN
fis-5061	190	10	and	and	CCONJ
fis-5061	190	11	anfis	anfis	PROPN
fis-5061	190	12	models	model	NOUN
fis-5061	190	13	in	in	ADP
fis-5061	190	14	predicting	predict	VERB
fis-5061	190	15	the	the	DET
fis-5061	190	16	machining	machining	NOUN
fis-5061	190	17	process	process	NOUN
fis-5061	190	18	.	.	PUNCT
fis-5061	191	1	by	by	ADP
fis-5061	191	2	comparing	compare	VERB
fis-5061	191	3	the	the	DET
fis-5061	191	4	performance	performance	NOUN
fis-5061	191	5	of	of	ADP
fis-5061	191	6	these	these	DET
fis-5061	191	7	models	model	NOUN
fis-5061	191	8	in	in	ADP
fis-5061	191	9	predicting	predict	VERB
fis-5061	191	10	machining	machining	NOUN
fis-5061	191	11	outcomes	outcome	NOUN
fis-5061	191	12	,	,	PUNCT
fis-5061	191	13	this	this	DET
fis-5061	191	14	study	study	NOUN
fis-5061	191	15	seeks	seek	VERB
fis-5061	191	16	to	to	PART
fis-5061	191	17	provide	provide	VERB
fis-5061	191	18	valuable	valuable	ADJ
fis-5061	191	19	insights	insight	NOUN
fis-5061	191	20	for	for	ADP
fis-5061	191	21	improving	improve	VERB
fis-5061	191	22	process	process	NOUN
fis-5061	191	23	efficiency	efficiency	NOUN
fis-5061	191	24	and	and	CCONJ
fis-5061	191	25	accuracy	accuracy	NOUN
fis-5061	191	26	.	.	PUNCT
fis-5061	192	1	the	the	DET
fis-5061	192	2	set	set	NOUN
fis-5061	192	3	of	of	ADP
fis-5061	192	4	cutting	cut	VERB
fis-5061	192	5	parameters	parameter	NOUN
fis-5061	192	6	used	use	VERB
fis-5061	192	7	for	for	ADP
fis-5061	192	8	turning	turn	VERB
fis-5061	192	9	inconel	inconel	NOUN
fis-5061	192	10	718	718	NUM
fis-5061	192	11	and	and	CCONJ
fis-5061	192	12	the	the	DET
fis-5061	192	13	experimental	experimental	ADJ
fis-5061	192	14	results	result	NOUN
fis-5061	192	15	are	be	AUX
fis-5061	192	16	presented	present	VERB
fis-5061	192	17	in	in	ADP
fis-5061	192	18	the	the	DET
fis-5061	192	19	tab	tab	NOUN
fis-5061	192	20	.	.	PUNCT
fis-5061	193	1	2	2	X
fis-5061	193	2	.	.	X
fis-5061	193	3	hybrid	hybrid	ADJ
fis-5061	193	4	nanofluid	nanofluid	PROPN
fis-5061	193	5	was	be	AUX
fis-5061	193	6	prepared	prepare	VERB
fis-5061	193	7	by	by	ADP
fis-5061	193	8	mixing	mix	VERB
fis-5061	193	9	aluminum	aluminum	NOUN
fis-5061	193	10	oxide	oxide	NOUN
fis-5061	193	11	(	(	PUNCT
fis-5061	193	12	al2o3	al2o3	NOUN
fis-5061	193	13	)	)	PUNCT
fis-5061	193	14	and	and	CCONJ
fis-5061	193	15	multi	multi	ADJ
fis-5061	193	16	-	-	ADJ
fis-5061	193	17	walled	walled	ADJ
fis-5061	193	18	carbon	carbon	NOUN
fis-5061	193	19	nanotubes	nanotube	NOUN
fis-5061	193	20	(	(	PUNCT
fis-5061	193	21	mwcnts	mwcnt	NOUN
fis-5061	193	22	)	)	PUNCT
fis-5061	193	23	at	at	ADP
fis-5061	193	24	constant	constant	ADJ
fis-5061	193	25	proportions	proportion	NOUN
fis-5061	193	26	in	in	ADP
fis-5061	193	27	vegetable	vegetable	NOUN
fis-5061	193	28	-	-	PUNCT
fis-5061	193	29	based	base	VERB
fis-5061	193	30	palm	palm	NOUN
fis-5061	193	31	oil	oil	NOUN
fis-5061	193	32	.	.	PUNCT
fis-5061	194	1	as	as	SCONJ
fis-5061	194	2	depicted	depict	VERB
fis-5061	194	3	in	in	ADP
fis-5061	194	4	tab	tab	NOUN
fis-5061	194	5	.	.	PUNCT
fis-5061	195	1	2	2	NUM
fis-5061	195	2	,	,	PUNCT
fis-5061	195	3	the	the	DET
fis-5061	195	4	study	study	NOUN
fis-5061	195	5	examined	examine	VERB
fis-5061	195	6	the	the	DET
fis-5061	195	7	responses	response	NOUN
fis-5061	195	8	at	at	ADP
fis-5061	195	9	each	each	DET
fis-5061	195	10	cutting	cutting	NOUN
fis-5061	195	11	parameter	parameter	NOUN
fis-5061	195	12	,	,	PUNCT
fis-5061	195	13	including	include	VERB
fis-5061	195	14	cutting	cut	VERB
fis-5061	195	15	force	force	NOUN
fis-5061	195	16	,	,	PUNCT
fis-5061	195	17	surface	surface	NOUN
fis-5061	195	18	roughness	roughness	NOUN
fis-5061	195	19	,	,	PUNCT
fis-5061	195	20	and	and	CCONJ
fis-5061	195	21	tool	tool	NOUN
fis-5061	195	22	life	life	NOUN
fis-5061	195	23	.	.	PUNCT
fis-5061	196	1	the	the	DET
fis-5061	196	2	cutting	cut	VERB
fis-5061	196	3	force	force	NOUN
fis-5061	196	4	,	,	PUNCT
fis-5061	196	5	flank	flank	NOUN
fis-5061	196	6	wear	wear	NOUN
fis-5061	196	7	,	,	PUNCT
fis-5061	196	8	and	and	CCONJ
fis-5061	196	9	average	average	ADJ
fis-5061	196	10	surface	surface	NOUN
fis-5061	196	11	roughness	roughness	NOUN
fis-5061	196	12	were	be	AUX
fis-5061	196	13	measured	measure	VERB
fis-5061	196	14	using	use	VERB
fis-5061	196	15	a	a	DET
fis-5061	196	16	strain	strain	NOUN
fis-5061	196	17	gauge	gauge	NOUN
fis-5061	196	18	-	-	PUNCT
fis-5061	196	19	type	type	NOUN
fis-5061	196	20	dynamometer	dynamometer	NOUN
fis-5061	196	21	,	,	PUNCT
fis-5061	196	22	a	a	DET
fis-5061	196	23	dino	dino	NOUN
fis-5061	196	24	-	-	PUNCT
fis-5061	196	25	lite	lite	NOUN
fis-5061	196	26	digital	digital	ADJ
fis-5061	196	27	microscope	microscope	NOUN
fis-5061	196	28	,	,	PUNCT
fis-5061	196	29	and	and	CCONJ
fis-5061	196	30	a	a	DET
fis-5061	196	31	mitutoyo	mitutoyo	PROPN
fis-5061	196	32	sj.201	sj.201	PROPN
fis-5061	196	33	surface	surface	NOUN
fis-5061	196	34	roughness	roughness	NOUN
fis-5061	196	35	tester	tester	NOUN
fis-5061	196	36	,	,	PUNCT
fis-5061	196	37	respectively	respectively	ADV
fis-5061	196	38	.	.	PUNCT
fis-5061	197	1	the	the	DET
fis-5061	197	2	tool	tool	NOUN
fis-5061	197	3	life	life	NOUN
fis-5061	197	4	limits	limit	NOUN
fis-5061	197	5	were	be	AUX
fis-5061	197	6	set	set	VERB
fis-5061	197	7	at	at	ADP
fis-5061	197	8	0.2	0.2	NUM
fis-5061	197	9	mm	mm	NOUN
fis-5061	197	10	flank	flank	NOUN
fis-5061	197	11	wear	wear	NOUN
fis-5061	197	12	or	or	CCONJ
fis-5061	197	13	a	a	DET
fis-5061	197	14	catastrophic	catastrophic	ADJ
fis-5061	197	15	failure	failure	NOUN
fis-5061	197	16	in	in	ADP
fis-5061	197	17	accordance	accordance	NOUN
fis-5061	197	18	with	with	ADP
fis-5061	197	19	iso	iso	PROPN
fis-5061	197	20	36851977(e	36851977(e	NUM
fis-5061	197	21	)	)	PUNCT
fis-5061	197	22	requirements	requirement	NOUN
fis-5061	197	23	.	.	PUNCT
fis-5061	198	1	figure	figure	VERB
fis-5061	198	2	6	6	NUM
fis-5061	198	3	:	:	PUNCT
fis-5061	198	4	typical	typical	ADJ
fis-5061	198	5	proposed	propose	VERB
fis-5061	198	6	anfis	anfis	ADJ
fis-5061	198	7	architecture	architecture	NOUN
fis-5061	198	8	.	.	PUNCT
fis-5061	199	1	as	as	SCONJ
fis-5061	199	2	cutting	cut	VERB
fis-5061	199	3	speed	speed	NOUN
fis-5061	199	4	increased	increase	VERB
fis-5061	199	5	,	,	PUNCT
fis-5061	199	6	a	a	DET
fis-5061	199	7	reduction	reduction	NOUN
fis-5061	199	8	in	in	ADP
fis-5061	199	9	cutting	cut	VERB
fis-5061	199	10	force	force	NOUN
fis-5061	199	11	was	be	AUX
fis-5061	199	12	seen	see	VERB
fis-5061	199	13	.	.	PUNCT
fis-5061	200	1	the	the	DET
fis-5061	200	2	lower	low	ADJ
fis-5061	200	3	cutting	cut	VERB
fis-5061	200	4	forces	force	NOUN
fis-5061	200	5	observed	observe	VERB
fis-5061	200	6	at	at	ADP
fis-5061	200	7	faster	fast	ADV
fis-5061	200	8	cutting	cut	VERB
fis-5061	200	9	speeds	speed	NOUN
fis-5061	200	10	might	might	AUX
fis-5061	200	11	be	be	AUX
fis-5061	200	12	the	the	DET
fis-5061	200	13	result	result	NOUN
fis-5061	200	14	of	of	ADP
fis-5061	200	15	the	the	DET
fis-5061	200	16	material	material	NOUN
fis-5061	200	17	being	be	AUX
fis-5061	200	18	softer	soft	ADJ
fis-5061	200	19	due	due	ADJ
fis-5061	200	20	to	to	ADP
fis-5061	200	21	the	the	DET
fis-5061	200	22	increased	increase	VERB
fis-5061	200	23	cutting	cut	VERB
fis-5061	200	24	temperature	temperature	NOUN
fis-5061	200	25	during	during	ADP
fis-5061	200	26	machining	machining	NOUN
fis-5061	200	27	.	.	PUNCT
fis-5061	201	1	this	this	DET
fis-5061	201	2	softening	softening	NOUN
fis-5061	201	3	reduces	reduce	VERB
fis-5061	201	4	the	the	DET
fis-5061	201	5	material	material	NOUN
fis-5061	201	6	's	's	PART
fis-5061	201	7	resistance	resistance	NOUN
fis-5061	201	8	to	to	ADP
fis-5061	201	9	deformation	deformation	NOUN
fis-5061	201	10	,	,	PUNCT
fis-5061	201	11	leading	lead	VERB
fis-5061	201	12	to	to	ADP
fis-5061	201	13	lower	low	ADJ
fis-5061	201	14	cutting	cut	VERB
fis-5061	201	15	forces	force	NOUN
fis-5061	201	16	.	.	PUNCT
fis-5061	202	1	lower	low	ADJ
fis-5061	202	2	cutting	cut	VERB
fis-5061	202	3	forces	force	NOUN
fis-5061	202	4	are	be	AUX
fis-5061	202	5	further	far	ADV
fis-5061	202	6	contributed	contribute	VERB
fis-5061	202	7	to	to	ADP
fis-5061	202	8	by	by	ADP
fis-5061	202	9	the	the	DET
fis-5061	202	10	increased	increase	VERB
fis-5061	202	11	cutting	cutting	NOUN
fis-5061	202	12	speed	speed	NOUN
fis-5061	202	13	,	,	PUNCT
fis-5061	202	14	which	which	PRON
fis-5061	202	15	further	far	ADV
fis-5061	202	16	encourages	encourage	VERB
fis-5061	202	17	the	the	DET
fis-5061	202	18	creation	creation	NOUN
fis-5061	202	19	of	of	ADP
fis-5061	202	20	a	a	DET
fis-5061	202	21	thinner	thin	ADJ
fis-5061	202	22	,	,	PUNCT
fis-5061	202	23	more	more	ADV
fis-5061	202	24	stable	stable	ADJ
fis-5061	202	25	chip	chip	NOUN
fis-5061	202	26	and	and	CCONJ
fis-5061	202	27	improves	improve	VERB
fis-5061	202	28	chip	chip	NOUN
fis-5061	202	29	evacuation	evacuation	NOUN
fis-5061	202	30	by	by	ADP
fis-5061	202	31	minimizing	minimize	VERB
fis-5061	202	32	tool	tool	NOUN
fis-5061	202	33	-	-	PUNCT
fis-5061	202	34	workpiece	workpiece	NOUN
fis-5061	202	35	contact	contact	NOUN
fis-5061	202	36	.	.	PUNCT
fis-5061	203	1	it	it	PRON
fis-5061	203	2	is	be	AUX
fis-5061	203	3	observed	observe	VERB
fis-5061	203	4	that	that	SCONJ
fis-5061	203	5	as	as	ADP
fis-5061	203	6	the	the	DET
fis-5061	203	7	feed	feed	NOUN
fis-5061	203	8	and	and	CCONJ
fis-5061	203	9	depth	depth	NOUN
fis-5061	203	10	of	of	ADP
fis-5061	203	11	cut	cut	NOUN
fis-5061	203	12	rise	rise	NOUN
fis-5061	203	13	,	,	PUNCT
fis-5061	203	14	so	so	ADV
fis-5061	203	15	do	do	VERB
fis-5061	203	16	the	the	DET
fis-5061	203	17	cutting	cut	VERB
fis-5061	203	18	forces	force	NOUN
fis-5061	203	19	.	.	PUNCT
fis-5061	204	1	this	this	PRON
fis-5061	204	2	is	be	AUX
fis-5061	204	3	because	because	SCONJ
fis-5061	204	4	cutting	cut	VERB
fis-5061	204	5	forces	force	NOUN
fis-5061	204	6	are	be	AUX
fis-5061	204	7	more	more	ADV
fis-5061	204	8	greatly	greatly	ADV
fis-5061	204	9	impacted	impact	VERB
fis-5061	204	10	by	by	ADP
fis-5061	204	11	the	the	DET
fis-5061	204	12	depth	depth	NOUN
fis-5061	204	13	of	of	ADP
fis-5061	204	14	cut	cut	NOUN
fis-5061	204	15	,	,	PUNCT
fis-5061	204	16	which	which	PRON
fis-5061	204	17	directly	directly	ADV
fis-5061	204	18	influences	influence	VERB
fis-5061	204	19	the	the	DET
fis-5061	204	20	amount	amount	NOUN
fis-5061	204	21	of	of	ADP
fis-5061	204	22	material	material	NOUN
fis-5061	204	23	removed	remove	VERB
fis-5061	204	24	.	.	PUNCT
fis-5061	205	1	the	the	DET
fis-5061	205	2	thickness	thickness	NOUN
fis-5061	205	3	and	and	CCONJ
fis-5061	205	4	contact	contact	NOUN
fis-5061	205	5	area	area	NOUN
fis-5061	205	6	of	of	ADP
fis-5061	205	7	the	the	DET
fis-5061	205	8	chip	chip	NOUN
fis-5061	205	9	can	can	AUX
fis-5061	205	10	also	also	ADV
fis-5061	205	11	change	change	VERB
fis-5061	205	12	because	because	SCONJ
fis-5061	205	13	of	of	ADP
fis-5061	205	14	variations	variation	NOUN
fis-5061	205	15	in	in	ADP
fis-5061	205	16	the	the	DET
fis-5061	205	17	depth	depth	NOUN
fis-5061	205	18	of	of	ADP
fis-5061	205	19	cut	cut	NOUN
fis-5061	205	20	,	,	PUNCT
fis-5061	205	21	which	which	PRON
fis-5061	205	22	further	far	ADV
fis-5061	205	23	affect	affect	VERB
fis-5061	205	24	the	the	DET
fis-5061	205	25	cutting	cut	VERB
fis-5061	205	26	forces	force	NOUN
fis-5061	205	27	.	.	PUNCT
fis-5061	206	1	on	on	ADP
fis-5061	206	2	the	the	DET
fis-5061	206	3	other	other	ADJ
fis-5061	206	4	hand	hand	NOUN
fis-5061	206	5	,	,	PUNCT
fis-5061	206	6	since	since	SCONJ
fis-5061	206	7	feed	feed	NOUN
fis-5061	206	8	and	and	CCONJ
fis-5061	206	9	cutting	cut	VERB
fis-5061	206	10	speed	speed	NOUN
fis-5061	206	11	modifications	modification	NOUN
fis-5061	206	12	mainly	mainly	ADV
fis-5061	206	13	impact	impact	VERB
fis-5061	206	14	the	the	DET
fis-5061	206	15	rate	rate	NOUN
fis-5061	206	16	of	of	ADP
fis-5061	206	17	material	material	NOUN
fis-5061	206	18	removal	removal	NOUN
fis-5061	206	19	,	,	PUNCT
fis-5061	206	20	their	their	PRON
fis-5061	206	21	impact	impact	NOUN
fis-5061	206	22	on	on	ADP
fis-5061	206	23	cutting	cut	VERB
fis-5061	206	24	forces	force	NOUN
fis-5061	206	25	is	be	AUX
fis-5061	206	26	comparatively	comparatively	ADV
fis-5061	206	27	smaller	small	ADJ
fis-5061	206	28	[	[	X
fis-5061	206	29	31	31	NUM
fis-5061	206	30	-	-	SYM
fis-5061	206	31	32	32	NUM
fis-5061	206	32	]	]	PUNCT
fis-5061	206	33	.	.	PUNCT
fis-5061	207	1	the	the	DET
fis-5061	207	2	analysis	analysis	NOUN
fis-5061	207	3	of	of	ADP
fis-5061	207	4	worn	wear	VERB
fis-5061	207	5	-	-	PUNCT
fis-5061	207	6	out	out	ADP
fis-5061	207	7	tools	tool	NOUN
fis-5061	207	8	at	at	ADP
fis-5061	207	9	different	different	ADJ
fis-5061	207	10	cutting	cutting	NOUN
fis-5061	207	11	conditions	condition	NOUN
fis-5061	207	12	is	be	AUX
fis-5061	207	13	discussed	discuss	VERB
fis-5061	207	14	with	with	ADP
fis-5061	207	15	the	the	DET
fis-5061	207	16	images	image	NOUN
fis-5061	207	17	captured	capture	VERB
fis-5061	207	18	using	use	VERB
fis-5061	207	19	scanning	scan	VERB
fis-5061	207	20	electron	electron	NOUN
fis-5061	207	21	microscopes	microscope	NOUN
fis-5061	207	22	as	as	SCONJ
fis-5061	207	23	shown	show	VERB
fis-5061	207	24	in	in	ADP
fis-5061	207	25	fig	fig	NOUN
fis-5061	207	26	.	.	PUNCT
fis-5061	208	1	7	7	X
fis-5061	208	2	.	.	X
fis-5061	209	1	the	the	DET
fis-5061	209	2	photographs	photograph	NOUN
fis-5061	209	3	depict	depict	VERB
fis-5061	209	4	the	the	DET
fis-5061	209	5	tool	tool	NOUN
fis-5061	209	6	's	's	PART
fis-5061	209	7	rake	rake	NOUN
fis-5061	209	8	and	and	CCONJ
fis-5061	209	9	flank	flank	NOUN
fis-5061	209	10	faces	face	NOUN
fis-5061	209	11	upon	upon	SCONJ
fis-5061	209	12	turning	turn	VERB
fis-5061	209	13	at	at	ADP
fis-5061	209	14	the	the	DET
fis-5061	209	15	end	end	NOUN
fis-5061	209	16	of	of	ADP
fis-5061	209	17	the	the	DET
fis-5061	209	18	tool	tool	NOUN
fis-5061	209	19	wear	wear	VERB
fis-5061	209	20	criterion	criterion	NOUN
fis-5061	209	21	,	,	PUNCT
fis-5061	209	22	which	which	PRON
fis-5061	209	23	was	be	AUX
fis-5061	209	24	set	set	VERB
fis-5061	209	25	at	at	ADP
fis-5061	209	26	0.2	0.2	NUM
fis-5061	209	27	mm	mm	NOUN
fis-5061	209	28	of	of	ADP
fis-5061	209	29	flank	flank	NOUN
fis-5061	209	30	wear	wear	NOUN
fis-5061	209	31	,	,	PUNCT
fis-5061	209	32	or	or	CCONJ
fis-5061	209	33	in	in	ADP
fis-5061	209	34	the	the	DET
fis-5061	209	35	event	event	NOUN
fis-5061	209	36	of	of	ADP
fis-5061	209	37	a	a	DET
fis-5061	209	38	catastrophic	catastrophic	ADJ
fis-5061	209	39	failure	failure	NOUN
fis-5061	209	40	.	.	PUNCT
fis-5061	210	1	a	a	DET
fis-5061	210	2	micrograph	micrograph	NOUN
fis-5061	210	3	of	of	ADP
fis-5061	210	4	the	the	DET
fis-5061	210	5	tools	tool	NOUN
fis-5061	210	6	employing	employ	VERB
fis-5061	210	7	hybrid	hybrid	ADJ
fis-5061	210	8	nanofluids	nanofluid	NOUN
fis-5061	210	9	at	at	ADP
fis-5061	210	10	experimental	experimental	ADJ
fis-5061	210	11	runs	run	NOUN
fis-5061	210	12	r1	r1	PROPN
fis-5061	210	13	,	,	PUNCT
fis-5061	210	14	r7	r7	NOUN
fis-5061	210	15	,	,	PUNCT
fis-5061	210	16	r8	r8	PROPN
fis-5061	210	17	,	,	PUNCT
fis-5061	210	18	r10	r10	NOUN
fis-5061	210	19	,	,	PUNCT
fis-5061	210	20	and	and	CCONJ
fis-5061	210	21	r15	r15	NOUN
fis-5061	210	22	is	be	AUX
fis-5061	210	23	displayed	display	VERB
fis-5061	210	24	in	in	ADP
fis-5061	210	25	fig	fig	NOUN
fis-5061	210	26	.	.	PUNCT
fis-5061	211	1	7	7	X
fis-5061	211	2	.	.	X
fis-5061	211	3	severe	severe	ADJ
fis-5061	211	4	damage	damage	NOUN
fis-5061	211	5	to	to	ADP
fis-5061	211	6	the	the	DET
fis-5061	211	7	cutting	cut	VERB
fis-5061	211	8	tool	tool	NOUN
fis-5061	211	9	,	,	PUNCT
fis-5061	211	10	coating	coat	VERB
fis-5061	211	11	delamination	delamination	NOUN
fis-5061	211	12	,	,	PUNCT
fis-5061	211	13	and	and	CCONJ
fis-5061	211	14	pitting	pit	VERB
fis-5061	211	15	on	on	ADP
fis-5061	211	16	the	the	DET
fis-5061	211	17	substrate	substrate	NOUN
fis-5061	211	18	can	can	AUX
fis-5061	211	19	be	be	AUX
fis-5061	211	20	prominently	prominently	ADV
fis-5061	211	21	seen	see	VERB
fis-5061	211	22	;	;	PUNCT
fis-5061	211	23	the	the	DET
fis-5061	211	24	tool	tool	NOUN
fis-5061	211	25	failure	failure	NOUN
fis-5061	211	26	can	can	AUX
fis-5061	211	27	be	be	AUX
fis-5061	211	28	seen	see	VERB
fis-5061	211	29	as	as	SCONJ
fis-5061	211	30	occurred	occur	VERB
fis-5061	211	31	because	because	SCONJ
fis-5061	211	32	of	of	ADP
fis-5061	211	33	metal	metal	NOUN
fis-5061	211	34	adhesion	adhesion	NOUN
fis-5061	211	35	and	and	CCONJ
fis-5061	211	36	chipping	chip	VERB
fis-5061	211	37	off	off	ADP
fis-5061	211	38	the	the	DET
fis-5061	211	39	cutting	cut	VERB
fis-5061	211	40	edge	edge	NOUN
fis-5061	211	41	due	due	ADP
fis-5061	211	42	to	to	ADP
fis-5061	211	43	the	the	DET
fis-5061	211	44	breaking	breaking	NOUN
fis-5061	211	45	of	of	ADP
fis-5061	211	46	the	the	DET
fis-5061	211	47	unstable	unstable	ADJ
fis-5061	211	48	piled	pile	VERB
fis-5061	211	49	-	-	PUNCT
fis-5061	211	50	up	up	ADP
fis-5061	211	51	adhered	adhere	VERB
fis-5061	211	52	material	material	NOUN
fis-5061	211	53	during	during	ADP
fis-5061	211	54	machining	machining	NOUN
fis-5061	211	55	.	.	PUNCT
fis-5061	212	1	the	the	DET
fis-5061	212	2	pitting	pitting	NOUN
fis-5061	212	3	on	on	ADP
fis-5061	212	4	the	the	DET
fis-5061	212	5	substrate	substrate	NOUN
fis-5061	212	6	of	of	ADP
fis-5061	212	7	the	the	DET
fis-5061	212	8	tool	tool	NOUN
fis-5061	212	9	and	and	CCONJ
fis-5061	212	10	notch	notch	ADJ
fis-5061	212	11	wear	wear	NOUN
fis-5061	212	12	can	can	AUX
fis-5061	212	13	be	be	AUX
fis-5061	212	14	seen	see	VERB
fis-5061	212	15	at	at	ADP
fis-5061	212	16	experimental	experimental	ADJ
fis-5061	212	17	runs	run	NOUN
fis-5061	212	18	7	7	NUM
fis-5061	212	19	and	and	CCONJ
fis-5061	212	20	8	8	NUM
fis-5061	212	21	and	and	CCONJ
fis-5061	212	22	the	the	DET
fis-5061	212	23	catastrophic	catastrophic	ADJ
fis-5061	212	24	tool	tool	NOUN
fis-5061	212	25	failure	failure	NOUN
fis-5061	212	26	and	and	CCONJ
fis-5061	212	27	chipping	chip	VERB
fis-5061	212	28	off	off	ADP
fis-5061	212	29	the	the	DET
fis-5061	212	30	cutting	cut	VERB
fis-5061	212	31	edge	edge	NOUN
fis-5061	212	32	at	at	ADP
fis-5061	212	33	higher	high	ADJ
fis-5061	212	34	cutting	cut	VERB
fis-5061	212	35	speeds	speed	NOUN
fis-5061	212	36	(	(	PUNCT
fis-5061	212	37	experiment	experiment	NOUN
fis-5061	212	38	index	index	NOUN
fis-5061	212	39	10	10	NUM
fis-5061	212	40	)	)	PUNCT
fis-5061	212	41	can	can	AUX
fis-5061	212	42	be	be	AUX
fis-5061	212	43	seen	see	VERB
fis-5061	212	44	.	.	PUNCT
fis-5061	213	1	ann	ann	PROPN
fis-5061	213	2	modeling	model	VERB
fis-5061	213	3	the	the	DET
fis-5061	213	4	study	study	NOUN
fis-5061	213	5	used	use	VERB
fis-5061	213	6	the	the	DET
fis-5061	213	7	neural	neural	ADJ
fis-5061	213	8	network	network	NOUN
fis-5061	213	9	toolbox	toolbox	NOUN
fis-5061	213	10	in	in	ADP
fis-5061	213	11	matlab	matlab	PROPN
fis-5061	213	12	software	software	NOUN
fis-5061	213	13	to	to	PART
fis-5061	213	14	train	train	VERB
fis-5061	213	15	and	and	CCONJ
fis-5061	213	16	forecast	forecast	NOUN
fis-5061	213	17	using	use	VERB
fis-5061	213	18	artificial	artificial	ADJ
fis-5061	213	19	neural	neural	ADJ
fis-5061	213	20	networks	network	NOUN
fis-5061	213	21	(	(	PUNCT
fis-5061	213	22	ann	ann	PROPN
fis-5061	213	23	)	)	PUNCT
fis-5061	213	24	.	.	PUNCT
fis-5061	214	1	by	by	ADP
fis-5061	214	2	varying	vary	VERB
fis-5061	214	3	the	the	DET
fis-5061	214	4	number	number	NOUN
fis-5061	214	5	of	of	ADP
fis-5061	214	6	hidden	hidden	ADJ
fis-5061	214	7	layers	layer	NOUN
fis-5061	214	8	and	and	CCONJ
fis-5061	214	9	neurons	neuron	NOUN
fis-5061	214	10	inside	inside	ADP
fis-5061	214	11	those	those	DET
fis-5061	214	12	layers	layer	NOUN
fis-5061	214	13	,	,	PUNCT
fis-5061	214	14	several	several	ADJ
fis-5061	214	15	configurations	configuration	NOUN
fis-5061	214	16	of	of	ADP
fis-5061	214	17	anns	ann	NOUN
fis-5061	214	18	were	be	AUX
fis-5061	214	19	produced	produce	VERB
fis-5061	214	20	.	.	PUNCT
fis-5061	215	1	plotting	plot	VERB
fis-5061	215	2	training	training	NOUN
fis-5061	215	3	and	and	CCONJ
fis-5061	215	4	test	test	NOUN
fis-5061	215	5	errors	error	NOUN
fis-5061	215	6	versus	versus	ADP
fis-5061	215	7	the	the	DET
fis-5061	215	8	total	total	ADJ
fis-5061	215	9	number	number	NOUN
fis-5061	215	10	of	of	ADP
fis-5061	215	11	epochs	epoch	NOUN
fis-5061	215	12	allowed	allow	VERB
fis-5061	215	13	for	for	ADP
fis-5061	215	14	the	the	DET
fis-5061	215	15	evaluation	evaluation	NOUN
fis-5061	215	16	of	of	ADP
fis-5061	215	17	these	these	DET
fis-5061	215	18	networks	network	NOUN
fis-5061	215	19	'	'	PART
fis-5061	215	20	p.	p.	NOUN
fis-5061	215	21	kulkarni	kulkarni	PROPN
fis-5061	215	22	et	et	PROPN
fis-5061	215	23	alii	alii	PROPN
fis-5061	215	24	,	,	PUNCT
fis-5061	215	25	frattura	frattura	PROPN
fis-5061	215	26	ed	ed	PROPN
fis-5061	215	27	integrità	integrità	PROPN
fis-5061	215	28	strutturale	strutturale	PROPN
fis-5061	215	29	,	,	PUNCT
fis-5061	215	30	70	70	NUM
fis-5061	215	31	(	(	PUNCT
fis-5061	215	32	2024	2024	NUM
fis-5061	215	33	)	)	PUNCT
fis-5061	215	34	71	71	NUM
fis-5061	215	35	-	-	SYM
fis-5061	215	36	90	90	NUM
fis-5061	215	37	;	;	PUNCT
fis-5061	215	38	doi	doi	NOUN
fis-5061	215	39	:	:	PUNCT
fis-5061	215	40	10.3221	10.3221	NUM
fis-5061	215	41	/	/	SYM
fis-5061	215	42	igf	igf	PROPN
fis-5061	215	43	-	-	PROPN
fis-5061	215	44	esis.70.04	esis.70.04	PROPN
fis-5061	215	45	79	79	NUM
fis-5061	215	46	performance	performance	NOUN
fis-5061	215	47	.	.	PUNCT
fis-5061	216	1	the	the	DET
fis-5061	216	2	predefined	predefine	VERB
fis-5061	216	3	epoch	epoch	NOUN
fis-5061	216	4	count	count	NOUN
fis-5061	216	5	ensured	ensure	VERB
fis-5061	216	6	that	that	SCONJ
fis-5061	216	7	every	every	DET
fis-5061	216	8	piece	piece	NOUN
fis-5061	216	9	of	of	ADP
fis-5061	216	10	data	datum	NOUN
fis-5061	216	11	was	be	AUX
fis-5061	216	12	used	use	VERB
fis-5061	216	13	precisely	precisely	ADV
fis-5061	216	14	once	once	ADV
fis-5061	216	15	per	per	ADP
fis-5061	216	16	training	training	NOUN
fis-5061	216	17	session	session	NOUN
fis-5061	216	18	.	.	PUNCT
fis-5061	217	1	while	while	SCONJ
fis-5061	217	2	having	have	VERB
fis-5061	217	3	too	too	ADV
fis-5061	217	4	many	many	ADJ
fis-5061	217	5	epochs	epoch	NOUN
fis-5061	217	6	might	might	AUX
fis-5061	217	7	cause	cause	VERB
fis-5061	217	8	overfitting	overfitte	VERB
fis-5061	217	9	and	and	CCONJ
fis-5061	217	10	needless	needless	ADJ
fis-5061	217	11	use	use	NOUN
fis-5061	217	12	of	of	ADP
fis-5061	217	13	time	time	NOUN
fis-5061	217	14	and	and	CCONJ
fis-5061	217	15	computing	computing	NOUN
fis-5061	217	16	resources	resource	NOUN
fis-5061	217	17	,	,	PUNCT
fis-5061	217	18	setting	set	VERB
fis-5061	217	19	the	the	DET
fis-5061	217	20	number	number	NOUN
fis-5061	217	21	of	of	ADP
fis-5061	217	22	epochs	epoch	NOUN
fis-5061	217	23	too	too	ADV
fis-5061	217	24	low	low	ADJ
fis-5061	217	25	can	can	AUX
fis-5061	217	26	cause	cause	VERB
fis-5061	217	27	the	the	DET
fis-5061	217	28	model	model	NOUN
fis-5061	217	29	to	to	PART
fis-5061	217	30	terminate	terminate	VERB
fis-5061	217	31	before	before	SCONJ
fis-5061	217	32	it	it	PRON
fis-5061	217	33	converges	converge	VERB
fis-5061	217	34	.	.	PUNCT
fis-5061	218	1	with	with	ADP
fis-5061	218	2	a	a	DET
fis-5061	218	3	zero	zero	NUM
fis-5061	218	4	-	-	PUNCT
fis-5061	218	5	error	error	NOUN
fis-5061	218	6	target	target	NOUN
fis-5061	218	7	,	,	PUNCT
fis-5061	218	8	the	the	DET
fis-5061	218	9	study	study	NOUN
fis-5061	218	10	's	's	PART
fis-5061	218	11	default	default	NOUN
fis-5061	218	12	parameters	parameter	NOUN
fis-5061	218	13	for	for	ADP
fis-5061	218	14	the	the	DET
fis-5061	218	15	maximum	maximum	ADJ
fis-5061	218	16	number	number	NOUN
fis-5061	218	17	of	of	ADP
fis-5061	218	18	epochs	epoch	NOUN
fis-5061	218	19	and	and	CCONJ
fis-5061	218	20	learning	learn	VERB
fis-5061	218	21	rate	rate	NOUN
fis-5061	218	22	were	be	AUX
fis-5061	218	23	set	set	VERB
fis-5061	218	24	to	to	ADP
fis-5061	218	25	1000	1000	NUM
fis-5061	218	26	and	and	CCONJ
fis-5061	218	27	0.01	0.01	NUM
fis-5061	218	28	,	,	PUNCT
fis-5061	218	29	respectively	respectively	ADV
fis-5061	218	30	.	.	PUNCT
fis-5061	219	1	the	the	DET
fis-5061	219	2	model	model	NOUN
fis-5061	219	3	's	's	PART
fis-5061	219	4	development	development	NOUN
fis-5061	219	5	time	time	NOUN
fis-5061	219	6	was	be	AUX
fis-5061	219	7	not	not	PART
fis-5061	219	8	limited	limit	VERB
fis-5061	219	9	by	by	ADP
fis-5061	219	10	computational	computational	ADJ
fis-5061	219	11	time	time	NOUN
fis-5061	219	12	.	.	PUNCT
fis-5061	220	1	tab	tab	NOUN
fis-5061	220	2	.	.	PUNCT
fis-5061	220	3	3	3	NUM
fis-5061	220	4	provides	provide	VERB
fis-5061	220	5	specifics	specific	NOUN
fis-5061	220	6	on	on	ADP
fis-5061	220	7	the	the	DET
fis-5061	220	8	ann	ann	PROPN
fis-5061	220	9	parameters	parameter	NOUN
fis-5061	220	10	and	and	CCONJ
fis-5061	220	11	system	system	NOUN
fis-5061	220	12	setups	setup	NOUN
fis-5061	220	13	that	that	PRON
fis-5061	220	14	were	be	AUX
fis-5061	220	15	employed	employ	VERB
fis-5061	220	16	in	in	ADP
fis-5061	220	17	the	the	DET
fis-5061	220	18	investigation	investigation	NOUN
fis-5061	220	19	.	.	PUNCT
fis-5061	221	1	expt	expt	NOUN
fis-5061	221	2	.	.	PUNCT
fis-5061	222	1	run	run	VERB
fis-5061	222	2	input	input	NOUN
fis-5061	222	3	variables	variable	VERB
fis-5061	222	4	output	output	NOUN
fis-5061	222	5	responses	response	NOUN
fis-5061	222	6	(	(	PUNCT
fis-5061	222	7	variables	variable	NOUN
fis-5061	222	8	)	)	PUNCT
fis-5061	222	9	cutting	cut	VERB
fis-5061	222	10	speed	speed	NOUN
fis-5061	222	11	(	(	PUNCT
fis-5061	222	12	v	v	NOUN
fis-5061	222	13	)	)	PUNCT
fis-5061	222	14	(	(	PUNCT
fis-5061	222	15	m	m	NOUN
fis-5061	222	16	/	/	SYM
fis-5061	222	17	min	min	NOUN
fis-5061	222	18	)	)	PUNCT
fis-5061	222	19	feed	feed	NOUN
fis-5061	222	20	(	(	PUNCT
fis-5061	222	21	f	f	PROPN
fis-5061	222	22	)	)	PUNCT
fis-5061	222	23	(	(	PUNCT
fis-5061	222	24	mm	mm	NOUN
fis-5061	222	25	/	/	SYM
fis-5061	222	26	rev	rev	ADJ
fis-5061	222	27	)	)	PUNCT
fis-5061	222	28	depth	depth	NOUN
fis-5061	222	29	of	of	ADP
fis-5061	222	30	cut	cut	NOUN
fis-5061	222	31	(	(	PUNCT
fis-5061	222	32	d	d	NOUN
fis-5061	222	33	)	)	PUNCT
fis-5061	222	34	mm	mm	PROPN
fis-5061	222	35	cutting	cut	VERB
fis-5061	222	36	force	force	NOUN
fis-5061	222	37	(	(	PUNCT
fis-5061	222	38	fc	fc	PROPN
fis-5061	222	39	)	)	PUNCT
fis-5061	222	40	(	(	PUNCT
fis-5061	222	41	n	n	CCONJ
fis-5061	222	42	)	)	PUNCT
fis-5061	222	43	surface	surface	NOUN
fis-5061	222	44	roughness	roughness	NOUN
fis-5061	222	45	(	(	PUNCT
fis-5061	222	46	ra	ra	PROPN
fis-5061	222	47	)	)	PUNCT
fis-5061	222	48	(	(	PUNCT
fis-5061	222	49	µm	µm	NOUN
fis-5061	222	50	)	)	PUNCT
fis-5061	222	51	tool	tool	NOUN
fis-5061	222	52	life	life	NOUN
fis-5061	222	53	(	(	PUNCT
fis-5061	222	54	)	)	PUNCT
fis-5061	222	55	tl	tl	PROPN
fis-5061	222	56	(	(	PUNCT
fis-5061	222	57	min	min	PROPN
fis-5061	222	58	)	)	PUNCT
fis-5061	222	59	r1	r1	NOUN
fis-5061	222	60	65	65	NUM
fis-5061	222	61	0.2	0.2	NUM
fis-5061	222	62	0.8	0.8	NUM
fis-5061	222	63	537	537	NUM
fis-5061	222	64	1.49	1.49	NUM
fis-5061	222	65	4.21	4.21	NUM
fis-5061	222	66	r2	r2	NOUN
fis-5061	222	67	45	45	NUM
fis-5061	222	68	0.15	0.15	NUM
fis-5061	222	69	0.7	0.7	NUM
fis-5061	222	70	431	431	NUM
fis-5061	222	71	1.36	1.36	NUM
fis-5061	222	72	7.7	7.7	NUM
fis-5061	222	73	r3	r3	NOUN
fis-5061	222	74	45	45	NUM
fis-5061	222	75	0.25	0.25	NUM
fis-5061	222	76	0.7	0.7	NUM
fis-5061	222	77	617	617	NUM
fis-5061	222	78	1.9	1.9	NUM
fis-5061	222	79	5.46	5.46	NUM
fis-5061	222	80	r4	r4	NOUN
fis-5061	222	81	85	85	NUM
fis-5061	222	82	0.15	0.15	NUM
fis-5061	222	83	0.7	0.7	NUM
fis-5061	222	84	374	374	NUM
fis-5061	222	85	1.15	1.15	NUM
fis-5061	222	86	3.01	3.01	NUM
fis-5061	222	87	r5	r5	PROPN
fis-5061	222	88	85	85	NUM
fis-5061	222	89	0.25	0.25	NUM
fis-5061	222	90	0.7	0.7	NUM
fis-5061	222	91	568	568	NUM
fis-5061	222	92	1.78	1.78	NUM
fis-5061	222	93	2.14	2.14	NUM
fis-5061	222	94	r6	r6	NOUN
fis-5061	222	95	65	65	NUM
fis-5061	222	96	0.2	0.2	NUM
fis-5061	222	97	0.5	0.5	NUM
fis-5061	222	98	277	277	NUM
fis-5061	222	99	1.42	1.42	NUM
fis-5061	222	100	4.06	4.06	NUM
fis-5061	222	101	r7	r7	NOUN
fis-5061	222	102	65	65	NUM
fis-5061	222	103	0.1	0.1	NUM
fis-5061	222	104	0.5	0.5	NUM
fis-5061	222	105	168	168	NUM
fis-5061	222	106	0.93	0.93	NUM
fis-5061	222	107	7.18	7.18	NUM
fis-5061	222	108	r8	r8	NOUN
fis-5061	222	109	65	65	NUM
fis-5061	222	110	0.3	0.3	NUM
fis-5061	222	111	0.5	0.5	NUM
fis-5061	222	112	473	473	NUM
fis-5061	222	113	1.88	1.88	NUM
fis-5061	222	114	3.29	3.29	NUM
fis-5061	222	115	r9	r9	NOUN
fis-5061	222	116	30	30	NUM
fis-5061	222	117	0.2	0.2	NUM
fis-5061	222	118	0.5	0.5	NUM
fis-5061	222	119	343	343	NUM
fis-5061	222	120	2.06	2.06	NUM
fis-5061	222	121	14.14	14.14	NUM
fis-5061	222	122	r10	r10	NOUN
fis-5061	222	123	100	100	NUM
fis-5061	222	124	0.2	0.2	NUM
fis-5061	222	125	0.5	0.5	NUM
fis-5061	222	126	313	313	NUM
fis-5061	222	127	1.15	1.15	NUM
fis-5061	222	128	2.08	2.08	NUM
fis-5061	222	129	r11	r11	NOUN
fis-5061	222	130	45	45	NUM
fis-5061	222	131	0.15	0.15	NUM
fis-5061	222	132	0.3	0.3	NUM
fis-5061	222	133	166	166	NUM
fis-5061	222	134	1.02	1.02	NUM
fis-5061	222	135	12.91	12.91	NUM
fis-5061	222	136	r12	r12	NOUN
fis-5061	222	137	45	45	NUM
fis-5061	222	138	0.25	0.25	NUM
fis-5061	222	139	0.3	0.3	NUM
fis-5061	222	140	248	248	NUM
fis-5061	222	141	1.82	1.82	NUM
fis-5061	222	142	9.15	9.15	NUM
fis-5061	222	143	r13	r13	NOUN
fis-5061	222	144	85	85	NUM
fis-5061	222	145	0.15	0.15	NUM
fis-5061	222	146	0.3	0.3	NUM
fis-5061	222	147	136	136	NUM
fis-5061	222	148	0.94	0.94	NUM
fis-5061	222	149	5.05	5.05	NUM
fis-5061	222	150	r14	r14	NOUN
fis-5061	222	151	85	85	NUM
fis-5061	222	152	0.25	0.25	NUM
fis-5061	222	153	0.3	0.3	NUM
fis-5061	222	154	234	234	NUM
fis-5061	222	155	1.32	1.32	NUM
fis-5061	222	156	3.58	3.58	NUM
fis-5061	222	157	r15	r15	NOUN
fis-5061	222	158	65	65	NUM
fis-5061	222	159	0.2	0.2	NUM
fis-5061	222	160	0.2	0.2	NUM
fis-5061	222	161	107	107	NUM
fis-5061	222	162	1.02	1.02	NUM
fis-5061	222	163	8.09	8.09	NUM
fis-5061	222	164	table	table	NOUN
fis-5061	222	165	2	2	NUM
fis-5061	222	166	:	:	PUNCT
fis-5061	222	167	experimental	experimental	ADJ
fis-5061	222	168	variable	variable	ADJ
fis-5061	222	169	matrix	matrix	NOUN
fis-5061	222	170	of	of	ADP
fis-5061	222	171	turning	turn	VERB
fis-5061	222	172	process	process	NOUN
fis-5061	222	173	.	.	PUNCT
fis-5061	223	1	figure	figure	VERB
fis-5061	223	2	7	7	NUM
fis-5061	223	3	:	:	PUNCT
fis-5061	223	4	tool	tool	NOUN
fis-5061	223	5	images	image	NOUN
fis-5061	223	6	at	at	ADP
fis-5061	223	7	experiment	experiment	NOUN
fis-5061	223	8	run	run	VERB
fis-5061	223	9	r1	r1	PROPN
fis-5061	223	10	,	,	PUNCT
fis-5061	223	11	r7	r7	NOUN
fis-5061	223	12	,	,	PUNCT
fis-5061	223	13	r8	r8	PROPN
fis-5061	223	14	,	,	PUNCT
fis-5061	223	15	r10	r10	NOUN
fis-5061	223	16	,	,	PUNCT
fis-5061	223	17	and	and	CCONJ
fis-5061	223	18	r15	r15	NOUN
fis-5061	223	19	.	.	PUNCT
fis-5061	224	1	an	an	DET
fis-5061	224	2	ann	ann	PROPN
fis-5061	224	3	model	model	NOUN
fis-5061	224	4	is	be	AUX
fis-5061	224	5	created	create	VERB
fis-5061	224	6	using	use	VERB
fis-5061	224	7	the	the	DET
fis-5061	224	8	matlab	matlab	PROPN
fis-5061	224	9	toolbox	toolbox	NOUN
fis-5061	224	10	to	to	PART
fis-5061	224	11	forecast	forecast	VERB
fis-5061	224	12	the	the	DET
fis-5061	224	13	cutting	cut	VERB
fis-5061	224	14	force	force	NOUN
fis-5061	224	15	,	,	PUNCT
fis-5061	224	16	surface	surface	NOUN
fis-5061	224	17	roughness	roughness	NOUN
fis-5061	224	18	,	,	PUNCT
fis-5061	224	19	and	and	CCONJ
fis-5061	224	20	tool	tool	NOUN
fis-5061	224	21	life	life	NOUN
fis-5061	224	22	depending	depend	VERB
fis-5061	224	23	on	on	ADP
fis-5061	224	24	varying	vary	VERB
fis-5061	224	25	cutting	cut	VERB
fis-5061	224	26	parameters	parameter	NOUN
fis-5061	224	27	.	.	PUNCT
fis-5061	225	1	the	the	DET
fis-5061	225	2	input	input	NOUN
fis-5061	225	3	,	,	PUNCT
fis-5061	225	4	hidden	hide	VERB
fis-5061	225	5	,	,	PUNCT
fis-5061	225	6	and	and	CCONJ
fis-5061	225	7	output	output	NOUN
fis-5061	225	8	layers	layer	NOUN
fis-5061	225	9	make	make	VERB
fis-5061	225	10	up	up	ADP
fis-5061	225	11	the	the	DET
fis-5061	225	12	three	three	NUM
fis-5061	225	13	tiers	tier	NOUN
fis-5061	225	14	of	of	ADP
fis-5061	225	15	the	the	DET
fis-5061	225	16	ann	ann	PROPN
fis-5061	225	17	architecture	architecture	NOUN
fis-5061	225	18	(	(	PUNCT
fis-5061	225	19	fig	fig	NOUN
fis-5061	225	20	.	.	PUNCT
fis-5061	226	1	8)	8)	NUM
fis-5061	226	2	.	.	PUNCT
fis-5061	227	1	three	three	NUM
fis-5061	227	2	neurons	neuron	NOUN
fis-5061	227	3	make	make	VERB
fis-5061	227	4	up	up	ADP
fis-5061	227	5	the	the	DET
fis-5061	227	6	input	input	NOUN
fis-5061	227	7	layer	layer	NOUN
fis-5061	227	8	,	,	PUNCT
fis-5061	227	9	which	which	PRON
fis-5061	227	10	represents	represent	VERB
fis-5061	227	11	input	input	NOUN
fis-5061	227	12	variables	variable	NOUN
fis-5061	227	13	including	include	VERB
fis-5061	227	14	feed	feed	NOUN
fis-5061	227	15	,	,	PUNCT
fis-5061	227	16	depth	depth	NOUN
fis-5061	227	17	of	of	ADP
fis-5061	227	18	cut	cut	NOUN
fis-5061	227	19	,	,	PUNCT
fis-5061	227	20	and	and	CCONJ
fis-5061	227	21	cutting	cut	VERB
fis-5061	227	22	speed	speed	NOUN
fis-5061	227	23	.	.	PUNCT
fis-5061	228	1	one	one	NUM
fis-5061	228	2	neuron	neuron	NOUN
fis-5061	228	3	in	in	ADP
fis-5061	228	4	the	the	DET
fis-5061	228	5	output	output	NOUN
fis-5061	228	6	layer	layer	NOUN
fis-5061	228	7	is	be	AUX
fis-5061	228	8	responsible	responsible	ADJ
fis-5061	228	9	for	for	ADP
fis-5061	228	10	estimating	estimate	VERB
fis-5061	228	11	either	either	CCONJ
fis-5061	228	12	tool	tool	NOUN
fis-5061	228	13	life	life	NOUN
fis-5061	228	14	,	,	PUNCT
fis-5061	228	15	surface	surface	NOUN
fis-5061	228	16	roughness	roughness	NOUN
fis-5061	228	17	,	,	PUNCT
fis-5061	228	18	or	or	CCONJ
fis-5061	228	19	cutting	cut	VERB
fis-5061	228	20	force	force	NOUN
fis-5061	228	21	.	.	PUNCT
fis-5061	229	1	the	the	DET
fis-5061	229	2	number	number	NOUN
fis-5061	229	3	of	of	ADP
fis-5061	229	4	neurons	neuron	NOUN
fis-5061	229	5	required	require	VERB
fis-5061	229	6	to	to	PART
fis-5061	229	7	use	use	VERB
fis-5061	229	8	a	a	DET
fis-5061	229	9	feed	feed	NOUN
fis-5061	229	10	-	-	PUNCT
fis-5061	229	11	forward	forward	NOUN
fis-5061	229	12	neural	neural	ADJ
fis-5061	229	13	network	network	NOUN
fis-5061	229	14	to	to	PART
fis-5061	229	15	map	map	VERB
fis-5061	229	16	an	an	DET
fis-5061	229	17	array	array	NOUN
fis-5061	229	18	of	of	ADP
fis-5061	229	19	numerical	numerical	ADJ
fis-5061	229	20	inputs	input	NOUN
fis-5061	229	21	to	to	ADP
fis-5061	229	22	an	an	DET
fis-5061	229	23	array	array	NOUN
fis-5061	229	24	of	of	ADP
fis-5061	229	25	numerical	numerical	ADJ
fis-5061	229	26	targets	target	NOUN
fis-5061	229	27	is	be	AUX
fis-5061	229	28	present	present	ADJ
fis-5061	229	29	in	in	ADP
fis-5061	229	30	the	the	DET
fis-5061	229	31	hidden	hide	VERB
fis-5061	229	32	layer(s	layer(s	NOUN
fis-5061	229	33	)	)	PUNCT
fis-5061	229	34	.	.	PUNCT
fis-5061	230	1	the	the	DET
fis-5061	230	2	program	program	NOUN
fis-5061	230	3	matlab	matlab	PROPN
fis-5061	230	4	toolbox	toolbox	NOUN
fis-5061	230	5	neural	neural	ADJ
fis-5061	230	6	fitting	fitting	ADJ
fis-5061	230	7	helps	help	NOUN
fis-5061	230	8	with	with	ADP
fis-5061	230	9	data	datum	NOUN
fis-5061	230	10	p.	p.	PROPN
fis-5061	230	11	kulkarni	kulkarni	PROPN
fis-5061	230	12	et	et	PROPN
fis-5061	230	13	alii	alii	PROPN
fis-5061	230	14	,	,	PUNCT
fis-5061	230	15	frattura	frattura	PROPN
fis-5061	230	16	ed	ed	PROPN
fis-5061	230	17	integrità	integrità	PROPN
fis-5061	230	18	strutturale	strutturale	PROPN
fis-5061	230	19	,	,	PUNCT
fis-5061	230	20	70	70	NUM
fis-5061	230	21	(	(	PUNCT
fis-5061	230	22	2024	2024	NUM
fis-5061	230	23	)	)	PUNCT
fis-5061	230	24	71	71	NUM
fis-5061	230	25	-	-	SYM
fis-5061	230	26	90	90	NUM
fis-5061	230	27	;	;	PUNCT
fis-5061	230	28	doi	doi	NOUN
fis-5061	230	29	:	:	PUNCT
fis-5061	230	30	10.3221	10.3221	NUM
fis-5061	230	31	/	/	SYM
fis-5061	230	32	igf	igf	PROPN
fis-5061	230	33	-	-	PROPN
fis-5061	230	34	esis.70.04	esis.70.04	PROPN
fis-5061	230	35	80	80	NUM
fis-5061	230	36	selection	selection	NOUN
fis-5061	230	37	,	,	PUNCT
fis-5061	230	38	network	network	NOUN
fis-5061	230	39	construction	construction	NOUN
fis-5061	230	40	and	and	CCONJ
fis-5061	230	41	training	training	NOUN
fis-5061	230	42	,	,	PUNCT
fis-5061	230	43	and	and	CCONJ
fis-5061	230	44	performance	performance	NOUN
fis-5061	230	45	evaluation	evaluation	NOUN
fis-5061	230	46	with	with	ADP
fis-5061	230	47	regression	regression	NOUN
fis-5061	230	48	analysis	analysis	NOUN
fis-5061	230	49	and	and	CCONJ
fis-5061	230	50	mean	mean	VERB
fis-5061	230	51	squared	square	VERB
fis-5061	230	52	error	error	NOUN
fis-5061	230	53	.	.	PUNCT
fis-5061	231	1	a	a	DET
fis-5061	231	2	two	two	NUM
fis-5061	231	3	-	-	PUNCT
fis-5061	231	4	layer	layer	NOUN
fis-5061	231	5	feed	feed	NOUN
fis-5061	231	6	-	-	PUNCT
fis-5061	231	7	forward	forward	NOUN
fis-5061	231	8	network	network	NOUN
fis-5061	231	9	with	with	ADP
fis-5061	231	10	sigmoid	sigmoid	NOUN
fis-5061	231	11	hidden	hide	VERB
fis-5061	231	12	neurons	neuron	NOUN
fis-5061	231	13	and	and	CCONJ
fis-5061	231	14	linear	linear	ADJ
fis-5061	231	15	output	output	NOUN
fis-5061	231	16	neurons	neuron	NOUN
fis-5061	231	17	is	be	AUX
fis-5061	231	18	chosen	choose	VERB
fis-5061	231	19	to	to	PART
fis-5061	231	20	address	address	VERB
fis-5061	231	21	multidimensional	multidimensional	ADJ
fis-5061	231	22	issues	issue	NOUN
fis-5061	231	23	using	use	VERB
fis-5061	231	24	reliable	reliable	ADJ
fis-5061	231	25	data	datum	NOUN
fis-5061	231	26	and	and	CCONJ
fis-5061	231	27	sufficient	sufficient	ADJ
fis-5061	231	28	hidden	hidden	ADJ
fis-5061	231	29	layer	layer	NOUN
fis-5061	231	30	neurons	neuron	NOUN
fis-5061	231	31	.	.	PUNCT
fis-5061	232	1	the	the	DET
fis-5061	232	2	transfer	transfer	NOUN
fis-5061	232	3	function	function	NOUN
fis-5061	232	4	is	be	AUX
fis-5061	232	5	the	the	DET
fis-5061	232	6	hyperbolic	hyperbolic	ADJ
fis-5061	232	7	tangent	tangent	NOUN
fis-5061	232	8	sigmoid	sigmoid	NOUN
fis-5061	232	9	transfer	transfer	NOUN
fis-5061	232	10	function	function	NOUN
fis-5061	232	11	(	(	PUNCT
fis-5061	232	12	tansig	tansig	NOUN
fis-5061	232	13	)	)	PUNCT
fis-5061	232	14	,	,	PUNCT
fis-5061	232	15	as	as	SCONJ
fis-5061	232	16	defined	define	VERB
fis-5061	232	17	by	by	ADP
fis-5061	232	18	eqn	eqn	NOUN
fis-5061	232	19	.	.	PUNCT
fis-5061	233	1	(	(	PUNCT
fis-5061	233	2	1	1	NUM
fis-5061	233	3	)	)	PUNCT
fis-5061	233	4	.	.	PUNCT
fis-5061	234	1	ann	ann	PROPN
fis-5061	234	2	parameter	parameter	PROPN
fis-5061	234	3	characteristics	characteristics	PROPN
fis-5061	234	4	type	type	NOUN
fis-5061	234	5	of	of	ADP
fis-5061	234	6	network	network	NOUN
fis-5061	234	7	feed	feed	NOUN
fis-5061	234	8	-	-	PUNCT
fis-5061	234	9	forward	forward	NOUN
fis-5061	234	10	backpropagation	backpropagation	NOUN
fis-5061	234	11	type	type	NOUN
fis-5061	234	12	of	of	ADP
fis-5061	234	13	training	training	NOUN
fis-5061	234	14	function	function	NOUN
fis-5061	234	15	trainlm	trainlm	NOUN
fis-5061	234	16	type	type	NOUN
fis-5061	234	17	of	of	ADP
fis-5061	234	18	learning	learn	VERB
fis-5061	234	19	function	function	NOUN
fis-5061	234	20	learngdm	learngdm	NOUN
fis-5061	234	21	performance	performance	NOUN
fis-5061	234	22	function	function	NOUN
fis-5061	234	23	mse	mse	NOUN
fis-5061	234	24	(	(	PUNCT
fis-5061	234	25	mean	mean	VERB
fis-5061	234	26	squared	square	VERB
fis-5061	234	27	error	error	NOUN
fis-5061	234	28	)	)	PUNCT
fis-5061	234	29	number	number	NOUN
fis-5061	234	30	of	of	ADP
fis-5061	234	31	hidden	hide	VERB
fis-5061	234	32	layer(s	layer(s	NOUN
fis-5061	234	33	)	)	PUNCT
fis-5061	234	34	1	1	NUM
fis-5061	234	35	number	number	NOUN
fis-5061	234	36	of	of	ADP
fis-5061	234	37	neurons	neuron	NOUN
fis-5061	234	38	on	on	ADP
fis-5061	234	39	hidden	hide	VERB
fis-5061	234	40	layer	layer	NOUN
fis-5061	234	41	10	10	NUM
fis-5061	234	42	number	number	NOUN
fis-5061	234	43	of	of	ADP
fis-5061	234	44	epochs	epoch	NOUN
fis-5061	234	45	(	(	PUNCT
fis-5061	234	46	max	max	PROPN
fis-5061	234	47	)	)	PUNCT
fis-5061	234	48	1000	1000	NUM
fis-5061	234	49	learning	learning	NOUN
fis-5061	234	50	rate	rate	NOUN
fis-5061	234	51	0.001	0.001	NUM
fis-5061	234	52	rate	rate	NOUN
fis-5061	234	53	of	of	ADP
fis-5061	234	54	train	train	NOUN
fis-5061	234	55	data	datum	NOUN
fis-5061	234	56	(	(	PUNCT
fis-5061	234	57	random	random	ADJ
fis-5061	234	58	)	)	PUNCT
fis-5061	234	59	70	70	NUM
fis-5061	234	60	%	%	NOUN
fis-5061	234	61	rate	rate	NOUN
fis-5061	234	62	of	of	ADP
fis-5061	234	63	test	test	NOUN
fis-5061	234	64	data	datum	NOUN
fis-5061	234	65	(	(	PUNCT
fis-5061	234	66	random	random	ADJ
fis-5061	234	67	)	)	PUNCT
fis-5061	234	68	30	30	NUM
fis-5061	234	69	%	%	NOUN
fis-5061	234	70	learning	learn	VERB
fis-5061	234	71	algorithm	algorithm	PROPN
fis-5061	234	72	levenberg	levenberg	PROPN
fis-5061	234	73	-	-	PUNCT
fis-5061	234	74	marquardt	marquardt	PROPN
fis-5061	234	75	backpropagation	backpropagation	NOUN
fis-5061	234	76	technique	technique	NOUN
fis-5061	234	77	transfer	transfer	NOUN
fis-5061	234	78	function	function	NOUN
fis-5061	234	79	tansig	tansig	NOUN
fis-5061	234	80	(	(	PUNCT
fis-5061	234	81	tangent	tangent	NOUN
fis-5061	234	82	sigmoid	sigmoid	NOUN
fis-5061	234	83	)	)	PUNCT
fis-5061	234	84	table	table	NOUN
fis-5061	234	85	3	3	NUM
fis-5061	234	86	:	:	PUNCT
fis-5061	234	87	ann	ann	PROPN
fis-5061	234	88	model	model	NOUN
fis-5061	234	89	parameters	parameter	NOUN
fis-5061	234	90	and	and	CCONJ
fis-5061	234	91	system	system	NOUN
fis-5061	234	92	configuration	configuration	NOUN
fis-5061	234	93	in	in	ADP
fis-5061	234	94	the	the	DET
fis-5061	234	95	construction	construction	NOUN
fis-5061	234	96	and	and	CCONJ
fis-5061	234	97	analysis	analysis	NOUN
fis-5061	234	98	.	.	PUNCT
fis-5061	235	1	figure	figure	NOUN
fis-5061	235	2	8	8	NUM
fis-5061	235	3	:	:	PUNCT
fis-5061	235	4	ann	ann	NOUN
fis-5061	235	5	architecture	architecture	NOUN
fis-5061	235	6	to	to	PART
fis-5061	235	7	obtain	obtain	VERB
fis-5061	235	8	cutting	cut	VERB
fis-5061	235	9	force	force	NOUN
fis-5061	235	10	,	,	PUNCT
fis-5061	235	11	surface	surface	NOUN
fis-5061	235	12	roughness	roughness	NOUN
fis-5061	235	13	,	,	PUNCT
fis-5061	235	14	and	and	CCONJ
fis-5061	235	15	tool	tool	NOUN
fis-5061	235	16	life	life	NOUN
fis-5061	235	17	.	.	PUNCT
fis-5061	236	1	2	2	NUM
fis-5061	236	2	2	2	NUM
fis-5061	236	3	(	(	PUNCT
fis-5061	236	4	)	)	PUNCT
fis-5061	236	5	tanh	tanh	NOUN
fis-5061	236	6	(	(	PUNCT
fis-5061	236	7	)	)	PUNCT
fis-5061	236	8	1	1	NUM
fis-5061	236	9	1	1	NUM
fis-5061	236	10	nf	nf	NOUN
fis-5061	236	11	n	n	CCONJ
fis-5061	236	12	n	n	ADV
fis-5061	236	13	e	e	NOUN
fis-5061	236	14			NUM
fis-5061	236	15			PROPN
fis-5061	236	16			PROPN
fis-5061	236	17			X
fis-5061	236	18	(	(	PUNCT
fis-5061	236	19	1	1	X
fis-5061	236	20	)	)	PUNCT
fis-5061	236	21	where	where	SCONJ
fis-5061	236	22	(	(	PUNCT
fis-5061	236	23	)	)	PUNCT
fis-5061	236	24	f	f	PROPN
fis-5061	236	25	n	n	PRON
fis-5061	236	26	is	be	AUX
fis-5061	236	27	the	the	DET
fis-5061	236	28	hyperbolic	hyperbolic	ADJ
fis-5061	236	29	tangent	tangent	NOUN
fis-5061	236	30	sigmoid	sigmoid	NOUN
fis-5061	236	31	transfer	transfer	NOUN
fis-5061	236	32	function	function	NOUN
fis-5061	236	33	.	.	PUNCT
fis-5061	237	1	scaled	scale	VERB
fis-5061	237	2	conjugate	conjugate	ADJ
fis-5061	237	3	gradient	gradient	ADJ
fis-5061	237	4	algorithms	algorithm	NOUN
fis-5061	237	5	,	,	PUNCT
fis-5061	237	6	bayesian	bayesian	NOUN
fis-5061	237	7	regularization	regularization	NOUN
fis-5061	237	8	,	,	PUNCT
fis-5061	237	9	and	and	CCONJ
fis-5061	237	10	the	the	DET
fis-5061	237	11	levenberg	levenberg	PROPN
fis-5061	237	12	-	-	PUNCT
fis-5061	237	13	marquardt	marquardt	PROPN
fis-5061	237	14	technique	technique	NOUN
fis-5061	237	15	can	can	AUX
fis-5061	237	16	all	all	PRON
fis-5061	237	17	be	be	AUX
fis-5061	237	18	used	use	VERB
fis-5061	237	19	to	to	PART
fis-5061	237	20	train	train	VERB
fis-5061	237	21	the	the	DET
fis-5061	237	22	network	network	NOUN
fis-5061	237	23	.	.	PUNCT
fis-5061	238	1	despite	despite	SCONJ
fis-5061	238	2	requiring	require	VERB
fis-5061	238	3	more	more	ADJ
fis-5061	238	4	memory	memory	NOUN
fis-5061	238	5	,	,	PUNCT
fis-5061	238	6	the	the	DET
fis-5061	238	7	levenberg	levenberg	PROPN
fis-5061	238	8	-	-	PUNCT
fis-5061	238	9	marquardt	marquardt	PROPN
fis-5061	238	10	technique	technique	NOUN
fis-5061	238	11	was	be	AUX
fis-5061	238	12	chosen	choose	VERB
fis-5061	238	13	for	for	ADP
fis-5061	238	14	this	this	DET
fis-5061	238	15	investigation	investigation	NOUN
fis-5061	238	16	mainly	mainly	ADV
fis-5061	238	17	because	because	SCONJ
fis-5061	238	18	it	it	PRON
fis-5061	238	19	converges	converge	VERB
fis-5061	238	20	more	more	ADV
fis-5061	238	21	quickly	quickly	ADV
fis-5061	238	22	than	than	ADP
fis-5061	238	23	the	the	DET
fis-5061	238	24	other	other	ADJ
fis-5061	238	25	methods	method	NOUN
fis-5061	238	26	.	.	PUNCT
fis-5061	239	1	three	three	NUM
fis-5061	239	2	types	type	NOUN
fis-5061	239	3	of	of	ADP
fis-5061	239	4	data	datum	NOUN
fis-5061	239	5	samples	sample	NOUN
fis-5061	239	6	are	be	AUX
fis-5061	239	7	used	use	VERB
fis-5061	239	8	by	by	ADP
fis-5061	239	9	the	the	DET
fis-5061	239	10	neural	neural	ADJ
fis-5061	239	11	network	network	NOUN
fis-5061	239	12	for	for	ADP
fis-5061	239	13	testing	testing	NOUN
fis-5061	239	14	,	,	PUNCT
fis-5061	239	15	validation	validation	NOUN
fis-5061	239	16	,	,	PUNCT
fis-5061	239	17	and	and	CCONJ
fis-5061	239	18	training	training	NOUN
fis-5061	239	19	.	.	PUNCT
fis-5061	240	1	roughly	roughly	ADV
fis-5061	240	2	15	15	NUM
fis-5061	240	3	%	%	NOUN
fis-5061	240	4	of	of	ADP
fis-5061	240	5	the	the	DET
fis-5061	240	6	data	data	NOUN
fis-5061	240	7	is	be	AUX
fis-5061	240	8	reserved	reserve	VERB
fis-5061	240	9	for	for	ADP
fis-5061	240	10	validation	validation	NOUN
fis-5061	240	11	,	,	PUNCT
fis-5061	240	12	or	or	CCONJ
fis-5061	240	13	confirming	confirm	VERB
fis-5061	240	14	the	the	DET
fis-5061	240	15	expected	expect	VERB
fis-5061	240	16	results	result	NOUN
fis-5061	240	17	,	,	PUNCT
fis-5061	240	18	while	while	SCONJ
fis-5061	240	19	the	the	DET
fis-5061	240	20	remaining	remain	VERB
fis-5061	240	21	70	70	NUM
fis-5061	240	22	%	%	NOUN
fis-5061	240	23	is	be	AUX
fis-5061	240	24	used	use	VERB
fis-5061	240	25	to	to	PART
fis-5061	240	26	train	train	VERB
fis-5061	240	27	the	the	DET
fis-5061	240	28	neural	neural	ADJ
fis-5061	240	29	network	network	NOUN
fis-5061	240	30	.	.	PUNCT
fis-5061	241	1	the	the	DET
fis-5061	241	2	network	network	NOUN
fis-5061	241	3	's	's	PART
fis-5061	241	4	generalization	generalization	NOUN
fis-5061	241	5	is	be	AUX
fis-5061	241	6	assessed	assess	VERB
fis-5061	241	7	using	use	VERB
fis-5061	241	8	these	these	DET
fis-5061	241	9	validation	validation	NOUN
fis-5061	241	10	datasets	dataset	NOUN
fis-5061	241	11	,	,	PUNCT
fis-5061	241	12	and	and	CCONJ
fis-5061	241	13	the	the	DET
fis-5061	241	14	training	training	NOUN
fis-5061	241	15	process	process	NOUN
fis-5061	241	16	is	be	AUX
fis-5061	241	17	terminated	terminate	VERB
fis-5061	241	18	when	when	SCONJ
fis-5061	241	19	the	the	DET
fis-5061	241	20	network	network	NOUN
fis-5061	241	21	reaches	reach	VERB
fis-5061	241	22	the	the	DET
fis-5061	241	23	optimal	optimal	ADJ
fis-5061	241	24	level	level	NOUN
fis-5061	241	25	of	of	ADP
fis-5061	241	26	generalization	generalization	NOUN
fis-5061	241	27	.	.	PUNCT
fis-5061	242	1	an	an	DET
fis-5061	242	2	unbiased	unbiased	ADJ
fis-5061	242	3	evaluation	evaluation	NOUN
fis-5061	242	4	of	of	ADP
fis-5061	242	5	the	the	DET
fis-5061	242	6	network	network	NOUN
fis-5061	242	7	's	's	PART
fis-5061	242	8	performance	performance	NOUN
fis-5061	242	9	both	both	CCONJ
fis-5061	242	10	during	during	ADP
fis-5061	242	11	and	and	CCONJ
fis-5061	242	12	after	after	ADP
fis-5061	242	13	training	training	NOUN
fis-5061	242	14	is	be	AUX
fis-5061	242	15	provided	provide	VERB
fis-5061	242	16	by	by	ADP
fis-5061	242	17	the	the	DET
fis-5061	242	18	last	last	ADJ
fis-5061	242	19	15	15	NUM
fis-5061	242	20	%	%	NOUN
fis-5061	242	21	of	of	ADP
fis-5061	242	22	the	the	DET
fis-5061	242	23	data	datum	NOUN
fis-5061	242	24	,	,	PUNCT
fis-5061	242	25	which	which	PRON
fis-5061	242	26	is	be	AUX
fis-5061	242	27	set	set	VERB
fis-5061	242	28	aside	aside	ADV
fis-5061	242	29	for	for	ADP
fis-5061	242	30	testing	testing	NOUN
fis-5061	242	31	.	.	PUNCT
fis-5061	243	1	the	the	DET
fis-5061	243	2	ann	ann	PROPN
fis-5061	243	3	models	model	NOUN
fis-5061	243	4	for	for	ADP
fis-5061	243	5	cutting	cut	VERB
fis-5061	243	6	force	force	NOUN
fis-5061	243	7	,	,	PUNCT
fis-5061	243	8	surface	surface	NOUN
fis-5061	243	9	roughness	roughness	NOUN
fis-5061	243	10	,	,	PUNCT
fis-5061	243	11	and	and	CCONJ
fis-5061	243	12	tool	tool	NOUN
fis-5061	243	13	life	life	NOUN
fis-5061	243	14	were	be	AUX
fis-5061	243	15	created	create	VERB
fis-5061	243	16	by	by	ADP
fis-5061	243	17	analyzing	analyze	VERB
fis-5061	243	18	experimental	experimental	ADJ
fis-5061	243	19	results	result	NOUN
fis-5061	243	20	from	from	ADP
fis-5061	243	21	eleven	eleven	NUM
fis-5061	243	22	different	different	ADJ
fis-5061	243	23	cutting	cutting	NOUN
fis-5061	243	24	conditions	condition	NOUN
fis-5061	243	25	,	,	PUNCT
fis-5061	243	26	as	as	SCONJ
fis-5061	243	27	presented	present	VERB
fis-5061	243	28	in	in	ADP
fis-5061	243	29	tab	tab	NOUN
fis-5061	243	30	.	.	PUNCT
fis-5061	244	1	2	2	NUM
fis-5061	244	2	.	.	X
fis-5061	244	3	experimental	experimental	ADJ
fis-5061	244	4	results	result	NOUN
fis-5061	244	5	from	from	ADP
fis-5061	244	6	four	four	NUM
fis-5061	244	7	cutting	cut	VERB
fis-5061	244	8	different	different	ADJ
fis-5061	244	9	conditions	condition	NOUN
fis-5061	244	10	other	other	ADJ
fis-5061	244	11	than	than	ADP
fis-5061	244	12	those	those	PRON
fis-5061	244	13	used	use	VERB
fis-5061	244	14	for	for	ADP
fis-5061	244	15	training	training	NOUN
fis-5061	244	16	were	be	AUX
fis-5061	244	17	selected	select	VERB
fis-5061	244	18	for	for	ADP
fis-5061	244	19	validation	validation	NOUN
fis-5061	244	20	,	,	PUNCT
fis-5061	244	21	and	and	CCONJ
fis-5061	244	22	experimental	experimental	ADJ
fis-5061	244	23	results	result	NOUN
fis-5061	244	24	from	from	ADP
fis-5061	244	25	the	the	DET
fis-5061	244	26	five	five	NUM
fis-5061	244	27	different	different	ADJ
fis-5061	244	28	cutting	cutting	NOUN
fis-5061	244	29	conditions	condition	NOUN
fis-5061	244	30	other	other	ADJ
fis-5061	244	31	than	than	ADP
fis-5061	244	32	those	those	PRON
fis-5061	244	33	used	use	VERB
fis-5061	244	34	for	for	ADP
fis-5061	244	35	training	training	NOUN
fis-5061	244	36	and	and	CCONJ
fis-5061	244	37	validation	validation	NOUN
fis-5061	244	38	were	be	AUX
fis-5061	244	39	selected	select	VERB
fis-5061	244	40	for	for	ADP
fis-5061	244	41	testing	testing	NOUN
fis-5061	244	42	and	and	CCONJ
fis-5061	244	43	will	will	AUX
fis-5061	244	44	be	be	AUX
fis-5061	244	45	discussed	discuss	VERB
fis-5061	244	46	in	in	ADP
fis-5061	244	47	the	the	DET
fis-5061	244	48	testing	testing	NOUN
fis-5061	244	49	of	of	ADP
fis-5061	244	50	an	an	DET
fis-5061	244	51	ann	ann	PROPN
fis-5061	244	52	and	and	CCONJ
fis-5061	244	53	anfis	anfis	PROPN
fis-5061	244	54	subsection	subsection	NOUN
fis-5061	244	55	.	.	PUNCT
fis-5061	245	1	the	the	DET
fis-5061	245	2	study	study	NOUN
fis-5061	245	3	evaluated	evaluate	VERB
fis-5061	245	4	the	the	DET
fis-5061	245	5	effectiveness	effectiveness	NOUN
fis-5061	245	6	of	of	ADP
fis-5061	245	7	ann	ann	PROPN
fis-5061	245	8	models	model	NOUN
fis-5061	245	9	in	in	ADP
fis-5061	245	10	forecasting	forecasting	NOUN
fis-5061	245	11	cutting	cut	VERB
fis-5061	245	12	force	force	NOUN
fis-5061	245	13	,	,	PUNCT
fis-5061	245	14	surface	surface	NOUN
fis-5061	245	15	roughness	roughness	NOUN
fis-5061	245	16	,	,	PUNCT
fis-5061	245	17	and	and	CCONJ
fis-5061	245	18	tool	tool	NOUN
fis-5061	245	19	life	life	NOUN
fis-5061	245	20	,	,	PUNCT
fis-5061	245	21	varying	vary	VERB
fis-5061	245	22	with	with	ADP
fis-5061	245	23	the	the	DET
fis-5061	245	24	number	number	NOUN
fis-5061	245	25	of	of	ADP
fis-5061	245	26	hidden	hidden	ADJ
fis-5061	245	27	layers	layer	NOUN
fis-5061	245	28	and	and	CCONJ
fis-5061	245	29	neurons	neuron	NOUN
fis-5061	245	30	.	.	PUNCT
fis-5061	246	1	one	one	NUM
fis-5061	246	2	popular	popular	ADJ
fis-5061	246	3	technique	technique	NOUN
fis-5061	246	4	for	for	ADP
fis-5061	246	5	assessing	assess	VERB
fis-5061	246	6	the	the	DET
fis-5061	246	7	convergence	convergence	NOUN
fis-5061	246	8	of	of	ADP
fis-5061	246	9	neural	neural	ADJ
fis-5061	246	10	network	network	NOUN
fis-5061	246	11	models	model	NOUN
fis-5061	246	12	is	be	AUX
fis-5061	246	13	to	to	PART
fis-5061	246	14	analyze	analyze	VERB
fis-5061	246	15	learning	learn	VERB
fis-5061	246	16	curve	curve	NOUN
fis-5061	246	17	graphs	graph	NOUN
fis-5061	246	18	,	,	PUNCT
fis-5061	246	19	which	which	PRON
fis-5061	246	20	usually	usually	ADV
fis-5061	246	21	involve	involve	VERB
fis-5061	246	22	a	a	DET
fis-5061	246	23	graph	graph	NOUN
fis-5061	246	24	of	of	ADP
fis-5061	246	25	loss	loss	NOUN
fis-5061	246	26	(	(	PUNCT
fis-5061	246	27	or	or	CCONJ
fis-5061	246	28	error	error	NOUN
fis-5061	246	29	)	)	PUNCT
fis-5061	246	30	versus	versus	ADP
fis-5061	246	31	epoch	epoch	PROPN
fis-5061	246	32	.	.	PUNCT
fis-5061	247	1	accuracy	accuracy	NOUN
fis-5061	247	2	is	be	AUX
fis-5061	247	3	predicted	predict	VERB
fis-5061	247	4	to	to	PART
fis-5061	247	5	rise	rise	VERB
fis-5061	247	6	as	as	ADP
fis-5061	247	7	the	the	DET
fis-5061	247	8	training	training	NOUN
fis-5061	247	9	epoch	epoch	NOUN
fis-5061	247	10	count	count	NOUN
fis-5061	247	11	rises	rise	NOUN
fis-5061	247	12	,	,	PUNCT
fis-5061	247	13	whereas	whereas	SCONJ
fis-5061	247	14	loss	loss	NOUN
fis-5061	247	15	is	be	AUX
fis-5061	247	16	predicted	predict	VERB
fis-5061	247	17	to	to	PART
fis-5061	247	18	fall	fall	VERB
fis-5061	247	19	and	and	CCONJ
fis-5061	247	20	finally	finally	ADV
fis-5061	247	21	stabilize	stabilize	VERB
fis-5061	247	22	.	.	PUNCT
fis-5061	248	1	a	a	DET
fis-5061	248	2	neural	neural	ADJ
fis-5061	248	3	network	network	NOUN
fis-5061	248	4	should	should	AUX
fis-5061	248	5	finally	finally	ADV
fis-5061	248	6	converge	converge	VERB
fis-5061	248	7	across	across	ADP
fis-5061	248	8	several	several	ADJ
fis-5061	248	9	epochs	epoch	NOUN
fis-5061	248	10	.	.	PUNCT
fis-5061	249	1	it	it	PRON
fis-5061	249	2	has	have	AUX
fis-5061	249	3	been	be	AUX
fis-5061	249	4	shown	show	VERB
fis-5061	249	5	that	that	SCONJ
fis-5061	249	6	adding	add	VERB
fis-5061	249	7	additional	additional	ADJ
fis-5061	249	8	hidden	hidden	ADJ
fis-5061	249	9	layers	layer	NOUN
fis-5061	249	10	and	and	CCONJ
fis-5061	249	11	neurons	neuron	NOUN
fis-5061	249	12	lengthens	lengthen	VERB
fis-5061	249	13	the	the	DET
fis-5061	249	14	computational	computational	ADJ
fis-5061	249	15	time	time	NOUN
fis-5061	249	16	,	,	PUNCT
fis-5061	249	17	or	or	CCONJ
fis-5061	249	18	the	the	DET
fis-5061	249	19	amount	amount	NOUN
fis-5061	249	20	of	of	ADP
fis-5061	249	21	time	time	NOUN
fis-5061	249	22	it	it	PRON
fis-5061	249	23	takes	take	VERB
fis-5061	249	24	for	for	SCONJ
fis-5061	249	25	an	an	DET
fis-5061	249	26	ann	ann	PROPN
fis-5061	249	27	model	model	NOUN
fis-5061	249	28	to	to	PART
fis-5061	249	29	converge	converge	VERB
fis-5061	249	30	.	.	PUNCT
fis-5061	250	1	the	the	DET
fis-5061	250	2	optimal	optimal	ADJ
fis-5061	250	3	results	result	NOUN
fis-5061	250	4	,	,	PUNCT
fis-5061	250	5	with	with	ADP
fis-5061	250	6	the	the	DET
fis-5061	250	7	lowest	low	ADJ
fis-5061	250	8	mean	mean	NOUN
fis-5061	250	9	squared	square	VERB
fis-5061	250	10	error	error	NOUN
fis-5061	250	11	and	and	CCONJ
fis-5061	250	12	the	the	DET
fis-5061	250	13	highest	high	ADJ
fis-5061	250	14	regression	regression	NOUN
fis-5061	250	15	coefficient	coefficient	NOUN
fis-5061	250	16	for	for	ADP
fis-5061	250	17	the	the	DET
fis-5061	250	18	entire	entire	ADJ
fis-5061	250	19	data	datum	NOUN
fis-5061	250	20	set	set	NOUN
fis-5061	250	21	,	,	PUNCT
fis-5061	250	22	were	be	AUX
fis-5061	250	23	achieved	achieve	VERB
fis-5061	250	24	with	with	ADP
fis-5061	250	25	one	one	NUM
fis-5061	250	26	hidden	hide	VERB
fis-5061	250	27	layer	layer	NOUN
fis-5061	250	28	and	and	CCONJ
fis-5061	250	29	p.	p.	NOUN
fis-5061	250	30	kulkarni	kulkarni	PROPN
fis-5061	250	31	et	et	PROPN
fis-5061	250	32	alii	alii	PROPN
fis-5061	250	33	,	,	PUNCT
fis-5061	250	34	frattura	frattura	PROPN
fis-5061	250	35	ed	ed	PROPN
fis-5061	250	36	integrità	integrità	PROPN
fis-5061	250	37	strutturale	strutturale	PROPN
fis-5061	250	38	,	,	PUNCT
fis-5061	250	39	70	70	NUM
fis-5061	250	40	(	(	PUNCT
fis-5061	250	41	2024	2024	NUM
fis-5061	250	42	)	)	PUNCT
fis-5061	250	43	71	71	NUM
fis-5061	250	44	-	-	SYM
fis-5061	250	45	90	90	NUM
fis-5061	250	46	;	;	PUNCT
fis-5061	250	47	doi	doi	NOUN
fis-5061	250	48	:	:	PUNCT
fis-5061	250	49	10.3221	10.3221	NUM
fis-5061	250	50	/	/	SYM
fis-5061	250	51	igf	igf	PROPN
fis-5061	250	52	-	-	PROPN
fis-5061	250	53	esis.70.04	esis.70.04	PROPN
fis-5061	250	54	81	81	NUM
fis-5061	250	55	10	10	NUM
fis-5061	250	56	neurons	neuron	NOUN
fis-5061	250	57	.	.	PUNCT
fis-5061	251	1	this	this	DET
fis-5061	251	2	study	study	NOUN
fis-5061	251	3	concluded	conclude	VERB
fis-5061	251	4	that	that	SCONJ
fis-5061	251	5	cutting	cut	VERB
fis-5061	251	6	force	force	NOUN
fis-5061	251	7	,	,	PUNCT
fis-5061	251	8	surface	surface	NOUN
fis-5061	251	9	roughness	roughness	NOUN
fis-5061	251	10	,	,	PUNCT
fis-5061	251	11	and	and	CCONJ
fis-5061	251	12	tool	tool	NOUN
fis-5061	251	13	life	life	NOUN
fis-5061	251	14	can	can	AUX
fis-5061	251	15	be	be	AUX
fis-5061	251	16	predicted	predict	VERB
fis-5061	251	17	accurately	accurately	ADV
fis-5061	251	18	using	use	VERB
fis-5061	251	19	an	an	DET
fis-5061	251	20	ann	ann	PROPN
fis-5061	251	21	model	model	NOUN
fis-5061	251	22	with	with	ADP
fis-5061	251	23	one	one	NUM
fis-5061	251	24	hidden	hide	VERB
fis-5061	251	25	layer	layer	NOUN
fis-5061	251	26	and	and	CCONJ
fis-5061	251	27	10	10	NUM
fis-5061	251	28	neurons	neuron	NOUN
fis-5061	251	29	.	.	PUNCT
fis-5061	252	1	figure	figure	NOUN
fis-5061	252	2	9	9	NUM
fis-5061	252	3	:	:	PUNCT
fis-5061	252	4	neural	neural	ADJ
fis-5061	252	5	network	network	NOUN
fis-5061	252	6	training	training	NOUN
fis-5061	252	7	performance	performance	NOUN
fis-5061	252	8	for	for	ADP
fis-5061	252	9	cutting	cut	VERB
fis-5061	252	10	force	force	NOUN
fis-5061	252	11	model	model	NOUN
fis-5061	252	12	.	.	PUNCT
fis-5061	253	1	figure	figure	VERB
fis-5061	253	2	10	10	NUM
fis-5061	253	3	:	:	PUNCT
fis-5061	253	4	prediction	prediction	NOUN
fis-5061	253	5	accuracy	accuracy	NOUN
fis-5061	253	6	of	of	ADP
fis-5061	253	7	developed	develop	VERB
fis-5061	253	8	neural	neural	ADJ
fis-5061	253	9	network	network	NOUN
fis-5061	253	10	model	model	NOUN
fis-5061	253	11	(	(	PUNCT
fis-5061	253	12	a	a	NOUN
fis-5061	253	13	)	)	PUNCT
fis-5061	253	14	training	training	NOUN
fis-5061	253	15	,	,	PUNCT
fis-5061	253	16	(	(	PUNCT
fis-5061	253	17	b	b	NOUN
fis-5061	253	18	)	)	PUNCT
fis-5061	253	19	validation	validation	NOUN
fis-5061	253	20	,	,	PUNCT
fis-5061	253	21	(	(	PUNCT
fis-5061	253	22	c	c	NOUN
fis-5061	253	23	)	)	PUNCT
fis-5061	253	24	test	test	NOUN
fis-5061	253	25	,	,	PUNCT
fis-5061	253	26	(	(	PUNCT
fis-5061	253	27	d	d	X
fis-5061	253	28	)	)	PUNCT
fis-5061	253	29	all	all	DET
fis-5061	253	30	data	datum	NOUN
fis-5061	253	31	set	set	VERB
fis-5061	253	32	.	.	PUNCT
fis-5061	254	1	fig	fig	NOUN
fis-5061	254	2	.	.	PUNCT
fis-5061	255	1	9	9	NUM
fis-5061	255	2	depicts	depict	VERB
fis-5061	255	3	the	the	DET
fis-5061	255	4	training	training	NOUN
fis-5061	255	5	performance	performance	NOUN
fis-5061	255	6	of	of	ADP
fis-5061	255	7	an	an	DET
fis-5061	255	8	ann	ann	PROPN
fis-5061	255	9	model	model	NOUN
fis-5061	255	10	using	use	VERB
fis-5061	255	11	one	one	NUM
fis-5061	255	12	hidden	hide	VERB
fis-5061	255	13	layer	layer	NOUN
fis-5061	255	14	with	with	ADP
fis-5061	255	15	ten	ten	NUM
fis-5061	255	16	neurons	neuron	NOUN
fis-5061	255	17	.	.	PUNCT
fis-5061	256	1	the	the	DET
fis-5061	256	2	optimal	optimal	ADJ
fis-5061	256	3	validation	validation	NOUN
fis-5061	256	4	performance	performance	NOUN
fis-5061	256	5	was	be	AUX
fis-5061	256	6	achieved	achieve	VERB
fis-5061	256	7	at	at	ADP
fis-5061	256	8	epoch	epoch	NOUN
fis-5061	256	9	5	5	NUM
fis-5061	256	10	,	,	PUNCT
fis-5061	256	11	with	with	ADP
fis-5061	256	12	a	a	DET
fis-5061	256	13	score	score	NOUN
fis-5061	256	14	of	of	ADP
fis-5061	256	15	92.89	92.89	NUM
fis-5061	256	16	with	with	ADP
fis-5061	256	17	a	a	DET
fis-5061	256	18	prediction	prediction	NOUN
fis-5061	256	19	accuracy	accuracy	NOUN
fis-5061	256	20	of	of	ADP
fis-5061	256	21	0.9942	0.9942	NUM
fis-5061	256	22	.	.	PUNCT
fis-5061	257	1	the	the	DET
fis-5061	257	2	average	average	ADJ
fis-5061	257	3	squared	square	VERB
fis-5061	257	4	error	error	NOUN
fis-5061	257	5	between	between	ADP
fis-5061	257	6	objectives	objective	NOUN
fis-5061	257	7	and	and	CCONJ
fis-5061	257	8	outputs	output	NOUN
fis-5061	257	9	,	,	PUNCT
fis-5061	257	10	or	or	CCONJ
fis-5061	257	11	mean	mean	VERB
fis-5061	257	12	squared	square	VERB
fis-5061	257	13	error	error	NOUN
fis-5061	257	14	,	,	PUNCT
fis-5061	257	15	is	be	AUX
fis-5061	257	16	used	use	VERB
fis-5061	257	17	to	to	PART
fis-5061	257	18	assess	assess	VERB
fis-5061	257	19	the	the	DET
fis-5061	257	20	effectiveness	effectiveness	NOUN
fis-5061	257	21	of	of	ADP
fis-5061	257	22	neural	neural	ADJ
fis-5061	257	23	network	network	NOUN
fis-5061	257	24	training	training	NOUN
fis-5061	257	25	.	.	PUNCT
fis-5061	258	1	lesser	less	ADJ
fis-5061	258	2	values	value	NOUN
fis-5061	258	3	are	be	AUX
fis-5061	258	4	preferable	preferable	ADJ
fis-5061	258	5	.	.	PUNCT
fis-5061	259	1	the	the	DET
fis-5061	259	2	correlation	correlation	NOUN
fis-5061	259	3	between	between	ADP
fis-5061	259	4	outputs	output	NOUN
fis-5061	259	5	(	(	PUNCT
fis-5061	259	6	predicted	predict	VERB
fis-5061	259	7	values	value	NOUN
fis-5061	259	8	)	)	PUNCT
fis-5061	259	9	and	and	CCONJ
fis-5061	259	10	goals	goal	NOUN
fis-5061	259	11	(	(	PUNCT
fis-5061	259	12	inputs	input	NOUN
fis-5061	259	13	)	)	PUNCT
fis-5061	259	14	is	be	AUX
fis-5061	259	15	measured	measure	VERB
fis-5061	259	16	by	by	ADP
fis-5061	259	17	r	r	NOUN
fis-5061	259	18	values	value	NOUN
fis-5061	259	19	.	.	PUNCT
fis-5061	260	1	figs	fig	NOUN
fis-5061	260	2	.	.	PUNCT
fis-5061	261	1	10(a	10(a	NUM
fis-5061	261	2	)	)	PUNCT
fis-5061	261	3	,	,	PUNCT
fis-5061	261	4	(	(	PUNCT
fis-5061	261	5	b	b	NOUN
fis-5061	261	6	)	)	PUNCT
fis-5061	261	7	,	,	PUNCT
fis-5061	261	8	(	(	PUNCT
fis-5061	261	9	c	c	NOUN
fis-5061	261	10	)	)	PUNCT
fis-5061	261	11	,	,	PUNCT
fis-5061	261	12	and	and	CCONJ
fis-5061	261	13	(	(	PUNCT
fis-5061	261	14	d	d	X
fis-5061	261	15	)	)	PUNCT
fis-5061	261	16	illustrate	illustrate	VERB
fis-5061	261	17	neural	neural	ADJ
fis-5061	261	18	network	network	NOUN
fis-5061	261	19	regression	regression	NOUN
fis-5061	261	20	graphs	graph	NOUN
fis-5061	261	21	for	for	ADP
fis-5061	261	22	cutting	cut	VERB
fis-5061	261	23	force	force	NOUN
fis-5061	261	24	with	with	ADP
fis-5061	261	25	r	r	NOUN
fis-5061	261	26	values	value	NOUN
fis-5061	261	27	discovered	discover	VERB
fis-5061	261	28	close	close	ADV
fis-5061	261	29	to	to	ADP
fis-5061	261	30	one	one	NUM
fis-5061	261	31	during	during	ADP
fis-5061	261	32	model	model	NOUN
fis-5061	261	33	training	training	NOUN
fis-5061	261	34	,	,	PUNCT
fis-5061	261	35	validation	validation	NOUN
fis-5061	261	36	,	,	PUNCT
fis-5061	261	37	and	and	CCONJ
fis-5061	261	38	testing	testing	NOUN
fis-5061	261	39	,	,	PUNCT
fis-5061	261	40	as	as	ADV
fis-5061	261	41	well	well	ADV
fis-5061	261	42	as	as	ADP
fis-5061	261	43	for	for	ADP
fis-5061	261	44	the	the	DET
fis-5061	261	45	complete	complete	ADJ
fis-5061	261	46	data	datum	NOUN
fis-5061	261	47	set	set	VERB
fis-5061	261	48	.	.	PUNCT
fis-5061	262	1	regression	regression	NOUN
fis-5061	262	2	coefficients	coefficient	NOUN
fis-5061	262	3	close	close	ADV
fis-5061	262	4	to	to	ADP
fis-5061	262	5	one	one	NUM
fis-5061	262	6	demonstrates	demonstrate	VERB
fis-5061	262	7	that	that	SCONJ
fis-5061	262	8	the	the	DET
fis-5061	262	9	developed	develop	VERB
fis-5061	262	10	neural	neural	ADJ
fis-5061	262	11	network	network	NOUN
fis-5061	262	12	models	model	NOUN
fis-5061	262	13	could	could	AUX
fis-5061	262	14	be	be	AUX
fis-5061	262	15	accurately	accurately	ADV
fis-5061	262	16	applied	apply	VERB
fis-5061	262	17	to	to	ADP
fis-5061	262	18	forecast	forecast	NOUN
fis-5061	262	19	cutting	cut	VERB
fis-5061	262	20	force	force	NOUN
fis-5061	262	21	,	,	PUNCT
fis-5061	262	22	surface	surface	NOUN
fis-5061	262	23	roughness	roughness	NOUN
fis-5061	262	24	,	,	PUNCT
fis-5061	262	25	and	and	CCONJ
fis-5061	262	26	tool	tool	NOUN
fis-5061	262	27	life	life	NOUN
fis-5061	262	28	of	of	ADP
fis-5061	262	29	pvd	pvd	PROPN
fis-5061	262	30	-	-	PUNCT
fis-5061	262	31	coated	coat	VERB
fis-5061	262	32	altin	altin	ADJ
fis-5061	262	33	carbide	carbide	NOUN
fis-5061	262	34	tools	tool	NOUN
fis-5061	262	35	when	when	SCONJ
fis-5061	262	36	turning	turn	VERB
fis-5061	262	37	inconel	inconel	NOUN
fis-5061	262	38	718	718	NUM
fis-5061	262	39	using	use	VERB
fis-5061	262	40	hybrid	hybrid	NOUN
fis-5061	262	41	mwcnt+al2o3	mwcnt+al2o3	NOUN
fis-5061	262	42	nanofluid	nanofluid	NOUN
fis-5061	262	43	under	under	ADP
fis-5061	262	44	mql	mql	PROPN
fis-5061	262	45	.	.	PUNCT
fis-5061	263	1	p.	p.	NOUN
fis-5061	263	2	kulkarni	kulkarni	PROPN
fis-5061	263	3	et	et	PROPN
fis-5061	263	4	alii	alii	PROPN
fis-5061	263	5	,	,	PUNCT
fis-5061	263	6	frattura	frattura	PROPN
fis-5061	263	7	ed	ed	PROPN
fis-5061	263	8	integrità	integrità	PROPN
fis-5061	263	9	strutturale	strutturale	PROPN
fis-5061	263	10	,	,	PUNCT
fis-5061	263	11	70	70	NUM
fis-5061	263	12	(	(	PUNCT
fis-5061	263	13	2024	2024	NUM
fis-5061	263	14	)	)	PUNCT
fis-5061	263	15	71	71	NUM
fis-5061	263	16	-	-	SYM
fis-5061	263	17	90	90	NUM
fis-5061	263	18	;	;	PUNCT
fis-5061	263	19	doi	doi	NOUN
fis-5061	263	20	:	:	PUNCT
fis-5061	263	21	10.3221	10.3221	NUM
fis-5061	263	22	/	/	SYM
fis-5061	263	23	igf	igf	PROPN
fis-5061	263	24	-	-	PROPN
fis-5061	263	25	esis.70.04	esis.70.04	PROPN
fis-5061	263	26	82	82	NUM
fis-5061	263	27	anfis	anfis	PROPN
fis-5061	263	28	modeling	modeling	NOUN
fis-5061	263	29	anfis	anfis	PROPN
fis-5061	263	30	is	be	AUX
fis-5061	263	31	a	a	DET
fis-5061	263	32	hybrid	hybrid	ADJ
fis-5061	263	33	intelligent	intelligent	ADJ
fis-5061	263	34	system	system	NOUN
fis-5061	263	35	that	that	PRON
fis-5061	263	36	combines	combine	VERB
fis-5061	263	37	neural	neural	ADJ
fis-5061	263	38	network	network	NOUN
fis-5061	263	39	learning	learn	VERB
fis-5061	263	40	capabilities	capability	NOUN
fis-5061	263	41	with	with	ADP
fis-5061	263	42	fuzzy	fuzzy	ADJ
fis-5061	263	43	logic	logic	NOUN
fis-5061	263	44	principles	principle	NOUN
fis-5061	263	45	,	,	PUNCT
fis-5061	263	46	making	make	VERB
fis-5061	263	47	it	it	PRON
fis-5061	263	48	an	an	DET
fis-5061	263	49	effective	effective	ADJ
fis-5061	263	50	tool	tool	NOUN
fis-5061	263	51	for	for	ADP
fis-5061	263	52	modeling	model	VERB
fis-5061	263	53	complex	complex	ADJ
fis-5061	263	54	,	,	PUNCT
fis-5061	263	55	nonlinear	nonlinear	ADJ
fis-5061	263	56	systems	system	NOUN
fis-5061	263	57	.	.	PUNCT
fis-5061	264	1	the	the	DET
fis-5061	264	2	anfis	anfis	PROPN
fis-5061	264	3	system	system	NOUN
fis-5061	264	4	utilizes	utilize	VERB
fis-5061	264	5	data	datum	NOUN
fis-5061	264	6	to	to	PART
fis-5061	264	7	enhance	enhance	VERB
fis-5061	264	8	performance	performance	NOUN
fis-5061	264	9	,	,	PUNCT
fis-5061	264	10	with	with	ADP
fis-5061	264	11	fuzzy	fuzzy	ADJ
fis-5061	264	12	rules	rule	NOUN
fis-5061	264	13	and	and	CCONJ
fis-5061	264	14	membership	membership	NOUN
fis-5061	264	15	functions	function	NOUN
fis-5061	264	16	providing	provide	VERB
fis-5061	264	17	a	a	DET
fis-5061	264	18	transparent	transparent	ADJ
fis-5061	264	19	understanding	understanding	NOUN
fis-5061	264	20	of	of	ADP
fis-5061	264	21	its	its	PRON
fis-5061	264	22	decision	decision	NOUN
fis-5061	264	23	-	-	PUNCT
fis-5061	264	24	making	make	VERB
fis-5061	264	25	process	process	NOUN
fis-5061	264	26	.	.	PUNCT
fis-5061	265	1	sugeno	sugeno	NOUN
fis-5061	265	2	and	and	CCONJ
fis-5061	265	3	mamdani	mamdani	NOUN
fis-5061	265	4	approaches	approach	NOUN
fis-5061	265	5	are	be	AUX
fis-5061	265	6	widely	widely	ADV
fis-5061	265	7	used	use	VERB
fis-5061	265	8	in	in	ADP
fis-5061	265	9	fuzzy	fuzzy	ADJ
fis-5061	265	10	logic	logic	NOUN
fis-5061	265	11	for	for	ADP
fis-5061	265	12	designing	design	VERB
fis-5061	265	13	fuzzy	fuzzy	ADJ
fis-5061	265	14	inference	inference	NOUN
fis-5061	265	15	systems	system	NOUN
fis-5061	265	16	(	(	PUNCT
fis-5061	265	17	fis	fis	PROPN
fis-5061	265	18	)	)	PUNCT
fis-5061	265	19	,	,	PUNCT
fis-5061	265	20	with	with	ADP
fis-5061	265	21	choices	choice	NOUN
fis-5061	265	22	based	base	VERB
fis-5061	265	23	on	on	ADP
fis-5061	265	24	application	application	NOUN
fis-5061	265	25	requirements	requirement	NOUN
fis-5061	265	26	like	like	ADP
fis-5061	265	27	interpretability	interpretability	NOUN
fis-5061	265	28	vs.	vs.	ADP
fis-5061	265	29	computational	computational	ADJ
fis-5061	265	30	efficiency	efficiency	NOUN
fis-5061	265	31	and	and	CCONJ
fis-5061	265	32	precision	precision	NOUN
fis-5061	265	33	.	.	PUNCT
fis-5061	266	1	in	in	ADP
fis-5061	266	2	this	this	DET
fis-5061	266	3	work	work	NOUN
fis-5061	266	4	,	,	PUNCT
fis-5061	266	5	an	an	DET
fis-5061	266	6	anfis	anfis	ADJ
fis-5061	266	7	model	model	NOUN
fis-5061	266	8	is	be	AUX
fis-5061	266	9	developed	develop	VERB
fis-5061	266	10	using	use	VERB
fis-5061	266	11	the	the	DET
fis-5061	266	12	sugeno	sugeno	NOUN
fis-5061	266	13	fis	fis	PROPN
fis-5061	266	14	.	.	PUNCT
fis-5061	267	1	the	the	DET
fis-5061	267	2	sugeno	sugeno	NOUN
fis-5061	267	3	technique	technique	NOUN
fis-5061	267	4	yields	yield	VERB
fis-5061	267	5	greater	great	ADJ
fis-5061	267	6	computing	computing	NOUN
fis-5061	267	7	efficiency	efficiency	NOUN
fis-5061	267	8	since	since	SCONJ
fis-5061	267	9	it	it	PRON
fis-5061	267	10	employs	employ	VERB
fis-5061	267	11	weighted	weight	VERB
fis-5061	267	12	averages	average	NOUN
fis-5061	267	13	for	for	ADP
fis-5061	267	14	the	the	DET
fis-5061	267	15	defuzzification	defuzzification	NOUN
fis-5061	267	16	process	process	NOUN
fis-5061	267	17	,	,	PUNCT
fis-5061	267	18	which	which	PRON
fis-5061	267	19	makes	make	VERB
fis-5061	267	20	it	it	PRON
fis-5061	267	21	simpler	simple	ADJ
fis-5061	267	22	and	and	CCONJ
fis-5061	267	23	more	more	ADV
fis-5061	267	24	effective	effective	ADJ
fis-5061	267	25	.	.	PUNCT
fis-5061	268	1	moreover	moreover	ADV
fis-5061	268	2	,	,	PUNCT
fis-5061	268	3	its	its	PRON
fis-5061	268	4	lower	low	ADJ
fis-5061	268	5	computational	computational	ADJ
fis-5061	268	6	cost	cost	NOUN
fis-5061	268	7	with	with	ADP
fis-5061	268	8	more	more	ADV
fis-5061	268	9	precise	precise	ADJ
fis-5061	268	10	outputs	output	NOUN
fis-5061	268	11	,	,	PUNCT
fis-5061	268	12	making	make	VERB
fis-5061	268	13	it	it	PRON
fis-5061	268	14	ideal	ideal	ADJ
fis-5061	268	15	for	for	ADP
fis-5061	268	16	precise	precise	ADJ
fis-5061	268	17	control	control	NOUN
fis-5061	268	18	and	and	CCONJ
fis-5061	268	19	optimization	optimization	NOUN
fis-5061	268	20	applications	application	NOUN
fis-5061	268	21	.	.	PUNCT
fis-5061	269	1	one	one	NUM
fis-5061	269	2	especially	especially	ADV
fis-5061	269	3	useful	useful	ADJ
fis-5061	269	4	application	application	NOUN
fis-5061	269	5	of	of	ADP
fis-5061	269	6	the	the	DET
fis-5061	269	7	sugeno	sugeno	NOUN
fis-5061	269	8	approach	approach	NOUN
fis-5061	269	9	is	be	AUX
fis-5061	269	10	to	to	PART
fis-5061	269	11	represent	represent	VERB
fis-5061	269	12	nonlinear	nonlinear	ADJ
fis-5061	269	13	systems	system	NOUN
fis-5061	269	14	using	use	VERB
fis-5061	269	15	a	a	DET
fis-5061	269	16	set	set	NOUN
fis-5061	269	17	of	of	ADP
fis-5061	269	18	linear	linear	PROPN
fis-5061	269	19	equations	equation	NOUN
fis-5061	269	20	.	.	PUNCT
fis-5061	270	1	matlab	matlab	PROPN
fis-5061	270	2	provides	provide	VERB
fis-5061	270	3	a	a	DET
fis-5061	270	4	robust	robust	ADJ
fis-5061	270	5	toolbox	toolbox	NOUN
fis-5061	270	6	for	for	ADP
fis-5061	270	7	anfis	anfis	PROPN
fis-5061	270	8	.	.	PUNCT
fis-5061	271	1	matlab	matlab	PROPN
fis-5061	271	2	's	's	PART
fis-5061	271	3	anfis	anfis	ADJ
fis-5061	271	4	toolbox	toolbox	NOUN
fis-5061	271	5	offers	offer	VERB
fis-5061	271	6	a	a	DET
fis-5061	271	7	user	user	NOUN
fis-5061	271	8	-	-	PUNCT
fis-5061	271	9	friendly	friendly	ADJ
fis-5061	271	10	interface	interface	NOUN
fis-5061	271	11	for	for	ADP
fis-5061	271	12	creating	create	VERB
fis-5061	271	13	and	and	CCONJ
fis-5061	271	14	refining	refine	VERB
fis-5061	271	15	fuzzy	fuzzy	ADJ
fis-5061	271	16	inference	inference	NOUN
fis-5061	271	17	systems	system	NOUN
fis-5061	271	18	,	,	PUNCT
fis-5061	271	19	benefiting	benefit	VERB
fis-5061	271	20	researchers	researcher	NOUN
fis-5061	271	21	and	and	CCONJ
fis-5061	271	22	practitioners	practitioner	NOUN
fis-5061	271	23	in	in	ADP
fis-5061	271	24	fuzzy	fuzzy	ADJ
fis-5061	271	25	logic	logic	NOUN
fis-5061	271	26	and	and	CCONJ
fis-5061	271	27	artificial	artificial	ADJ
fis-5061	271	28	intelligence	intelligence	NOUN
fis-5061	271	29	.	.	PUNCT
fis-5061	272	1	the	the	DET
fis-5061	272	2	ability	ability	NOUN
fis-5061	272	3	to	to	PART
fis-5061	272	4	train	train	VERB
fis-5061	272	5	fuzzy	fuzzy	ADJ
fis-5061	272	6	inference	inference	NOUN
fis-5061	272	7	systems	system	NOUN
fis-5061	272	8	using	use	VERB
fis-5061	272	9	a	a	DET
fis-5061	272	10	hybrid	hybrid	ADJ
fis-5061	272	11	learning	learning	NOUN
fis-5061	272	12	algorithm	algorithm	NOUN
fis-5061	272	13	that	that	PRON
fis-5061	272	14	blends	blend	VERB
fis-5061	272	15	backpropagation	backpropagation	NOUN
fis-5061	272	16	with	with	ADP
fis-5061	272	17	the	the	DET
fis-5061	272	18	least	least	ADJ
fis-5061	272	19	-	-	PUNCT
fis-5061	272	20	squares	square	NOUN
fis-5061	272	21	approach	approach	NOUN
fis-5061	272	22	is	be	AUX
fis-5061	272	23	one	one	NUM
fis-5061	272	24	of	of	ADP
fis-5061	272	25	anfis	anfis	PROPN
fis-5061	272	26	's	's	PART
fis-5061	272	27	primary	primary	ADJ
fis-5061	272	28	matlab	matlab	PROPN
fis-5061	272	29	features	feature	VERB
fis-5061	272	30	.	.	PUNCT
fis-5061	273	1	numerous	numerous	ADJ
fis-5061	273	2	membership	membership	NOUN
fis-5061	273	3	functions	function	NOUN
fis-5061	273	4	are	be	AUX
fis-5061	273	5	supported	support	VERB
fis-5061	273	6	,	,	PUNCT
fis-5061	273	7	including	include	VERB
fis-5061	273	8	generalized	generalized	ADJ
fis-5061	273	9	bell	bell	NOUN
fis-5061	273	10	,	,	PUNCT
fis-5061	273	11	triangular	triangular	NOUN
fis-5061	273	12	,	,	PUNCT
fis-5061	273	13	gaussian	gaussian	NOUN
fis-5061	273	14	,	,	PUNCT
fis-5061	273	15	and	and	CCONJ
fis-5061	273	16	trapezoidal	trapezoidal	ADJ
fis-5061	273	17	.	.	PUNCT
fis-5061	274	1	in	in	ADP
fis-5061	274	2	addition	addition	NOUN
fis-5061	274	3	,	,	PUNCT
fis-5061	274	4	the	the	DET
fis-5061	274	5	visualization	visualization	NOUN
fis-5061	274	6	tools	tool	NOUN
fis-5061	274	7	help	help	VERB
fis-5061	274	8	with	with	ADP
fis-5061	274	9	surface	surface	NOUN
fis-5061	274	10	plots	plot	NOUN
fis-5061	274	11	,	,	PUNCT
fis-5061	274	12	rules	rule	NOUN
fis-5061	274	13	,	,	PUNCT
fis-5061	274	14	and	and	CCONJ
fis-5061	274	15	membership	membership	NOUN
fis-5061	274	16	functions	function	NOUN
fis-5061	274	17	.	.	PUNCT
fis-5061	275	1	figure	figure	VERB
fis-5061	275	2	11	11	NUM
fis-5061	275	3	:	:	PUNCT
fis-5061	275	4	steps	step	NOUN
fis-5061	275	5	to	to	PART
fis-5061	275	6	develop	develop	VERB
fis-5061	275	7	anfis	anfis	ADJ
fis-5061	275	8	model	model	NOUN
fis-5061	275	9	in	in	ADP
fis-5061	275	10	matlab	matlab	PROPN
fis-5061	275	11	fig	fig	PROPN
fis-5061	275	12	.	.	PUNCT
fis-5061	276	1	11	11	NUM
fis-5061	276	2	depicts	depict	VERB
fis-5061	276	3	the	the	DET
fis-5061	276	4	basic	basic	ADJ
fis-5061	276	5	steps	step	NOUN
fis-5061	276	6	to	to	PART
fis-5061	276	7	develop	develop	VERB
fis-5061	276	8	anfis	anfis	ADJ
fis-5061	276	9	model	model	NOUN
fis-5061	276	10	in	in	ADP
fis-5061	276	11	matlab	matlab	PROPN
fis-5061	276	12	.	.	PUNCT
fis-5061	277	1	the	the	DET
fis-5061	277	2	first	first	ADJ
fis-5061	277	3	step	step	NOUN
fis-5061	277	4	in	in	ADP
fis-5061	277	5	developing	develop	VERB
fis-5061	277	6	an	an	DET
fis-5061	277	7	anfis	anfis	ADJ
fis-5061	277	8	model	model	NOUN
fis-5061	277	9	is	be	AUX
fis-5061	277	10	to	to	PART
fis-5061	277	11	identify	identify	VERB
fis-5061	277	12	input	input	NOUN
fis-5061	277	13	and	and	CCONJ
fis-5061	277	14	output	output	NOUN
fis-5061	277	15	variables	variable	NOUN
fis-5061	277	16	,	,	PUNCT
fis-5061	277	17	their	their	PRON
fis-5061	277	18	ranges	range	NOUN
fis-5061	277	19	,	,	PUNCT
fis-5061	277	20	and	and	CCONJ
fis-5061	277	21	the	the	DET
fis-5061	277	22	availability	availability	NOUN
fis-5061	277	23	of	of	ADP
fis-5061	277	24	data	datum	NOUN
fis-5061	277	25	for	for	ADP
fis-5061	277	26	training	training	NOUN
fis-5061	277	27	and	and	CCONJ
fis-5061	277	28	testing	testing	NOUN
fis-5061	277	29	of	of	ADP
fis-5061	277	30	the	the	DET
fis-5061	277	31	model	model	NOUN
fis-5061	277	32	.	.	PUNCT
fis-5061	278	1	the	the	DET
fis-5061	278	2	experimental	experimental	ADJ
fis-5061	278	3	data	datum	NOUN
fis-5061	278	4	listed	list	VERB
fis-5061	278	5	in	in	ADP
fis-5061	278	6	tab	tab	NOUN
fis-5061	278	7	.	.	PUNCT
fis-5061	278	8	2	2	NUM
fis-5061	278	9	was	be	AUX
fis-5061	278	10	used	use	VERB
fis-5061	278	11	for	for	ADP
fis-5061	278	12	creating	create	VERB
fis-5061	278	13	the	the	DET
fis-5061	278	14	anfis	anfis	ADJ
fis-5061	278	15	model	model	NOUN
fis-5061	278	16	.	.	PUNCT
fis-5061	279	1	the	the	DET
fis-5061	279	2	data	datum	NOUN
fis-5061	279	3	used	use	VERB
fis-5061	279	4	for	for	ADP
fis-5061	279	5	testing	test	VERB
fis-5061	279	6	the	the	DET
fis-5061	279	7	developed	develop	VERB
fis-5061	279	8	model	model	NOUN
fis-5061	279	9	is	be	AUX
fis-5061	279	10	discussed	discuss	VERB
fis-5061	279	11	in	in	ADP
fis-5061	279	12	the	the	DET
fis-5061	279	13	coming	come	VERB
fis-5061	279	14	subsections	subsection	NOUN
fis-5061	279	15	.	.	PUNCT
fis-5061	280	1	as	as	SCONJ
fis-5061	280	2	the	the	DET
fis-5061	280	3	anfis	anfis	ADJ
fis-5061	280	4	analysis	analysis	NOUN
fis-5061	280	5	considers	consider	VERB
fis-5061	280	6	only	only	ADV
fis-5061	280	7	one	one	NUM
fis-5061	280	8	output	output	NOUN
fis-5061	280	9	value	value	NOUN
fis-5061	280	10	per	per	ADP
fis-5061	280	11	model	model	NOUN
fis-5061	280	12	,	,	PUNCT
fis-5061	280	13	the	the	DET
fis-5061	280	14	models	model	NOUN
fis-5061	280	15	for	for	ADP
fis-5061	280	16	each	each	PRON
fis-5061	280	17	of	of	ADP
fis-5061	280	18	the	the	DET
fis-5061	280	19	responses	response	NOUN
fis-5061	280	20	are	be	AUX
fis-5061	280	21	considered	consider	VERB
fis-5061	280	22	separately	separately	ADV
fis-5061	280	23	.	.	PUNCT
fis-5061	281	1	three	three	NUM
fis-5061	281	2	distinct	distinct	ADJ
fis-5061	281	3	anfis	anfis	ADJ
fis-5061	281	4	models	model	NOUN
fis-5061	281	5	to	to	PART
fis-5061	281	6	predict	predict	VERB
fis-5061	281	7	the	the	DET
fis-5061	281	8	responses	response	NOUN
fis-5061	281	9	,	,	PUNCT
fis-5061	281	10	namely	namely	ADV
fis-5061	281	11	cutting	cut	VERB
fis-5061	281	12	force	force	NOUN
fis-5061	281	13	(	(	PUNCT
fis-5061	281	14	fc	fc	PROPN
fis-5061	281	15	)	)	PUNCT
fis-5061	281	16	,	,	PUNCT
fis-5061	281	17	surface	surface	NOUN
fis-5061	281	18	roughness	roughness	NOUN
fis-5061	281	19	(	(	PUNCT
fis-5061	281	20	ra	ra	PROPN
fis-5061	281	21	)	)	PUNCT
fis-5061	281	22	,	,	PUNCT
fis-5061	281	23	and	and	CCONJ
fis-5061	281	24	tool	tool	NOUN
fis-5061	281	25	life	life	NOUN
fis-5061	281	26	(	(	PUNCT
fis-5061	281	27	tl	tl	PROPN
fis-5061	281	28	)	)	PUNCT
fis-5061	281	29	,	,	PUNCT
fis-5061	281	30	were	be	AUX
fis-5061	281	31	developed	develop	VERB
fis-5061	281	32	considering	consider	VERB
fis-5061	281	33	the	the	DET
fis-5061	281	34	input	input	NOUN
fis-5061	281	35	parameters	parameter	NOUN
fis-5061	281	36	,	,	PUNCT
fis-5061	281	37	such	such	ADJ
fis-5061	281	38	as	as	ADP
fis-5061	281	39	cutting	cut	VERB
fis-5061	281	40	speed	speed	NOUN
fis-5061	281	41	(	(	PUNCT
fis-5061	281	42	v	v	NOUN
fis-5061	281	43	)	)	PUNCT
fis-5061	281	44	,	,	PUNCT
fis-5061	281	45	feed	feed	NOUN
fis-5061	281	46	(	(	PUNCT
fis-5061	281	47	f	f	PROPN
fis-5061	281	48	)	)	PUNCT
fis-5061	281	49	,	,	PUNCT
fis-5061	281	50	and	and	CCONJ
fis-5061	281	51	depth	depth	NOUN
fis-5061	281	52	of	of	ADP
fis-5061	281	53	cut	cut	NOUN
fis-5061	281	54	(	(	PUNCT
fis-5061	281	55	d	d	NOUN
fis-5061	281	56	)	)	PUNCT
fis-5061	281	57	.	.	PUNCT
fis-5061	282	1	fis	fis	PROPN
fis-5061	282	2	is	be	AUX
fis-5061	282	3	generated	generate	VERB
fis-5061	282	4	using	use	VERB
fis-5061	282	5	grid	grid	NOUN
fis-5061	282	6	partitioning	partition	VERB
fis-5061	282	7	option	option	NOUN
fis-5061	282	8	in	in	ADP
fis-5061	282	9	matlab	matlab	PROPN
fis-5061	282	10	's	's	PART
fis-5061	282	11	anfis	anfis	ADJ
fis-5061	282	12	toolbox	toolbox	NOUN
fis-5061	282	13	.	.	PUNCT
fis-5061	283	1	grid	grid	NOUN
fis-5061	283	2	partitioning	partitioning	NOUN
fis-5061	283	3	in	in	ADP
fis-5061	283	4	the	the	DET
fis-5061	283	5	context	context	NOUN
fis-5061	283	6	of	of	ADP
fis-5061	283	7	fis	fis	PROPN
fis-5061	283	8	entails	entail	VERB
fis-5061	283	9	splitting	split	VERB
fis-5061	283	10	the	the	DET
fis-5061	283	11	input	input	NOUN
fis-5061	283	12	space	space	NOUN
fis-5061	283	13	into	into	ADP
fis-5061	283	14	a	a	DET
fis-5061	283	15	grid	grid	NOUN
fis-5061	283	16	,	,	PUNCT
fis-5061	283	17	with	with	ADP
fis-5061	283	18	each	each	DET
fis-5061	283	19	cell	cell	NOUN
fis-5061	283	20	denoting	denote	VERB
fis-5061	283	21	a	a	DET
fis-5061	283	22	distinct	distinct	ADJ
fis-5061	283	23	fuzzy	fuzzy	ADJ
fis-5061	283	24	rule	rule	NOUN
fis-5061	283	25	.	.	PUNCT
fis-5061	284	1	fis	fis	PROPN
fis-5061	284	2	can	can	AUX
fis-5061	284	3	handle	handle	VERB
fis-5061	284	4	several	several	ADJ
fis-5061	284	5	input	input	NOUN
fis-5061	284	6	variables	variable	NOUN
fis-5061	284	7	and	and	CCONJ
fis-5061	284	8	their	their	PRON
fis-5061	284	9	interactions	interaction	NOUN
fis-5061	284	10	effectively	effectively	ADV
fis-5061	284	11	by	by	ADP
fis-5061	284	12	partitioning	partition	VERB
fis-5061	284	13	the	the	DET
fis-5061	284	14	input	input	NOUN
fis-5061	284	15	space	space	NOUN
fis-5061	284	16	into	into	ADP
fis-5061	284	17	a	a	DET
fis-5061	284	18	grid	grid	NOUN
fis-5061	284	19	.	.	PUNCT
fis-5061	285	1	grid	grid	NOUN
fis-5061	285	2	partitioning	partitioning	NOUN
fis-5061	285	3	enhances	enhance	VERB
fis-5061	285	4	the	the	DET
fis-5061	285	5	fis	fis	PROPN
fis-5061	285	6	model	model	NOUN
fis-5061	285	7	's	's	PART
fis-5061	285	8	interpretability	interpretability	NOUN
fis-5061	285	9	and	and	CCONJ
fis-5061	285	10	helps	help	VERB
fis-5061	285	11	to	to	PART
fis-5061	285	12	streamline	streamline	VERB
fis-5061	285	13	the	the	DET
fis-5061	285	14	rule	rule	NOUN
fis-5061	285	15	base	base	NOUN
fis-5061	285	16	.	.	PUNCT
fis-5061	286	1	determining	determine	VERB
fis-5061	286	2	the	the	DET
fis-5061	286	3	input	input	NOUN
fis-5061	286	4	space	space	NOUN
fis-5061	286	5	and	and	CCONJ
fis-5061	286	6	the	the	DET
fis-5061	286	7	range	range	NOUN
fis-5061	286	8	of	of	ADP
fis-5061	286	9	each	each	DET
fis-5061	286	10	input	input	NOUN
fis-5061	286	11	variable	variable	NOUN
fis-5061	286	12	,	,	PUNCT
fis-5061	286	13	together	together	ADV
fis-5061	286	14	with	with	ADP
fis-5061	286	15	the	the	DET
fis-5061	286	16	corresponding	corresponding	ADJ
fis-5061	286	17	partition	partition	NOUN
fis-5061	286	18	for	for	ADP
fis-5061	286	19	each	each	DET
fis-5061	286	20	range	range	NOUN
fis-5061	286	21	,	,	PUNCT
fis-5061	286	22	is	be	AUX
fis-5061	286	23	the	the	DET
fis-5061	286	24	first	first	ADJ
fis-5061	286	25	stage	stage	NOUN
fis-5061	286	26	in	in	ADP
fis-5061	286	27	the	the	DET
fis-5061	286	28	grid	grid	NOUN
fis-5061	286	29	partitioning	partitioning	NOUN
fis-5061	286	30	process	process	NOUN
fis-5061	286	31	.	.	PUNCT
fis-5061	287	1	next	next	ADV
fis-5061	287	2	,	,	PUNCT
fis-5061	287	3	create	create	VERB
fis-5061	287	4	membership	membership	NOUN
fis-5061	287	5	functions	function	NOUN
fis-5061	287	6	(	(	PUNCT
fis-5061	287	7	triangular	triangular	NOUN
fis-5061	287	8	,	,	PUNCT
fis-5061	287	9	trapezoidal	trapezoidal	ADJ
fis-5061	287	10	,	,	PUNCT
fis-5061	287	11	or	or	CCONJ
fis-5061	287	12	gaussian	gaussian	ADJ
fis-5061	287	13	functions	function	NOUN
fis-5061	287	14	)	)	PUNCT
fis-5061	287	15	for	for	ADP
fis-5061	287	16	each	each	DET
fis-5061	287	17	input	input	NOUN
fis-5061	287	18	variable	variable	NOUN
fis-5061	287	19	to	to	PART
fis-5061	287	20	define	define	VERB
fis-5061	287	21	fuzzy	fuzzy	ADJ
fis-5061	287	22	sets	set	NOUN
fis-5061	287	23	(	(	PUNCT
fis-5061	287	24	e.g.	e.g.	ADV
fis-5061	287	25	,	,	PUNCT
fis-5061	287	26	low	low	ADJ
fis-5061	287	27	,	,	PUNCT
fis-5061	287	28	medium	medium	ADJ
fis-5061	287	29	,	,	PUNCT
fis-5061	287	30	and	and	CCONJ
fis-5061	287	31	high	high	ADJ
fis-5061	287	32	)	)	PUNCT
fis-5061	287	33	.	.	PUNCT
fis-5061	288	1	next	next	ADV
fis-5061	288	2	,	,	PUNCT
fis-5061	288	3	each	each	DET
fis-5061	288	4	input	input	NOUN
fis-5061	288	5	variable	variable	NOUN
fis-5061	288	6	's	's	PART
fis-5061	288	7	fuzzy	fuzzy	ADJ
fis-5061	288	8	sets	set	NOUN
fis-5061	288	9	are	be	AUX
fis-5061	288	10	combined	combine	VERB
fis-5061	288	11	to	to	PART
fis-5061	288	12	generate	generate	VERB
fis-5061	288	13	a	a	DET
fis-5061	288	14	grid	grid	NOUN
fis-5061	288	15	.	.	PUNCT
fis-5061	289	1	every	every	DET
fis-5061	289	2	grid	grid	NOUN
fis-5061	289	3	cell	cell	NOUN
fis-5061	289	4	represents	represent	VERB
fis-5061	289	5	a	a	DET
fis-5061	289	6	distinct	distinct	ADJ
fis-5061	289	7	collection	collection	NOUN
fis-5061	289	8	of	of	ADP
fis-5061	289	9	fuzzy	fuzzy	ADJ
fis-5061	289	10	sets	set	NOUN
fis-5061	289	11	derived	derive	VERB
fis-5061	289	12	from	from	ADP
fis-5061	289	13	the	the	DET
fis-5061	289	14	input	input	NOUN
fis-5061	289	15	data	datum	NOUN
fis-5061	289	16	.	.	PUNCT
fis-5061	290	1	ultimately	ultimately	ADV
fis-5061	290	2	,	,	PUNCT
fis-5061	290	3	each	each	DET
fis-5061	290	4	grid	grid	NOUN
fis-5061	290	5	cell	cell	NOUN
fis-5061	290	6	is	be	AUX
fis-5061	290	7	given	give	VERB
fis-5061	290	8	a	a	DET
fis-5061	290	9	set	set	NOUN
fis-5061	290	10	of	of	ADP
fis-5061	290	11	fuzzy	fuzzy	ADJ
fis-5061	290	12	rules	rule	NOUN
fis-5061	290	13	.	.	PUNCT
fis-5061	291	1	based	base	VERB
fis-5061	291	2	on	on	ADP
fis-5061	291	3	the	the	DET
fis-5061	291	4	arrangement	arrangement	NOUN
fis-5061	291	5	of	of	ADP
fis-5061	291	6	fuzzy	fuzzy	ADJ
fis-5061	291	7	sets	set	NOUN
fis-5061	291	8	in	in	ADP
fis-5061	291	9	that	that	DET
fis-5061	291	10	cell	cell	NOUN
fis-5061	291	11	,	,	PUNCT
fis-5061	291	12	each	each	DET
fis-5061	291	13	rule	rule	NOUN
fis-5061	291	14	denotes	denote	VERB
fis-5061	291	15	an	an	DET
fis-5061	291	16	inference	inference	NOUN
fis-5061	291	17	.	.	PUNCT
fis-5061	292	1	the	the	DET
fis-5061	292	2	next	next	ADJ
fis-5061	292	3	step	step	NOUN
fis-5061	292	4	in	in	ADP
fis-5061	292	5	a	a	DET
fis-5061	292	6	fis	fis	PROPN
fis-5061	292	7	is	be	AUX
fis-5061	292	8	to	to	PART
fis-5061	292	9	define	define	VERB
fis-5061	292	10	membership	membership	NOUN
fis-5061	292	11	functions	function	NOUN
fis-5061	292	12	(	(	PUNCT
fis-5061	292	13	mfs	mfs	PROPN
fis-5061	292	14	)	)	PUNCT
fis-5061	292	15	to	to	PART
fis-5061	292	16	specify	specify	VERB
fis-5061	292	17	how	how	SCONJ
fis-5061	292	18	each	each	DET
fis-5061	292	19	point	point	NOUN
fis-5061	292	20	in	in	ADP
fis-5061	292	21	the	the	DET
fis-5061	292	22	input	input	NOUN
fis-5061	292	23	space	space	NOUN
fis-5061	292	24	is	be	AUX
fis-5061	292	25	mapped	map	VERB
fis-5061	292	26	to	to	ADP
fis-5061	292	27	a	a	DET
fis-5061	292	28	degree	degree	NOUN
fis-5061	292	29	of	of	ADP
fis-5061	292	30	membership	membership	NOUN
fis-5061	292	31	between	between	ADP
fis-5061	292	32	0	0	NUM
fis-5061	292	33	and	and	CCONJ
fis-5061	292	34	1	1	NUM
fis-5061	292	35	.	.	PUNCT
fis-5061	293	1	the	the	DET
fis-5061	293	2	choice	choice	NOUN
fis-5061	293	3	of	of	ADP
fis-5061	293	4	membership	membership	NOUN
fis-5061	293	5	functions	function	NOUN
fis-5061	293	6	significantly	significantly	ADV
fis-5061	293	7	affects	affect	VERB
fis-5061	293	8	the	the	DET
fis-5061	293	9	performance	performance	NOUN
fis-5061	293	10	and	and	CCONJ
fis-5061	293	11	behavior	behavior	NOUN
fis-5061	293	12	of	of	ADP
fis-5061	293	13	a	a	DET
fis-5061	293	14	fis	fis	PROPN
fis-5061	293	15	.	.	PUNCT
fis-5061	294	1	the	the	DET
fis-5061	294	2	choice	choice	NOUN
fis-5061	294	3	of	of	ADP
fis-5061	294	4	membership	membership	NOUN
fis-5061	294	5	function	function	NOUN
fis-5061	294	6	depends	depend	VERB
fis-5061	294	7	on	on	ADP
fis-5061	294	8	the	the	DET
fis-5061	294	9	specific	specific	ADJ
fis-5061	294	10	application	application	NOUN
fis-5061	294	11	and	and	CCONJ
fis-5061	294	12	the	the	DET
fis-5061	294	13	nature	nature	NOUN
fis-5061	294	14	of	of	ADP
fis-5061	294	15	the	the	DET
fis-5061	294	16	data	datum	NOUN
fis-5061	294	17	.	.	PUNCT
fis-5061	295	1	triangular	triangular	NOUN
fis-5061	295	2	and	and	CCONJ
fis-5061	295	3	trapezoidal	trapezoidal	ADJ
fis-5061	295	4	mfs	mfs	NOUN
fis-5061	295	5	are	be	AUX
fis-5061	295	6	simple	simple	ADJ
fis-5061	295	7	to	to	PART
fis-5061	295	8	compute	compute	VERB
fis-5061	295	9	and	and	CCONJ
fis-5061	295	10	interpret	interpret	VERB
fis-5061	295	11	,	,	PUNCT
fis-5061	295	12	making	make	VERB
fis-5061	295	13	them	they	PRON
fis-5061	295	14	good	good	ADJ
fis-5061	295	15	for	for	ADP
fis-5061	295	16	applications	application	NOUN
fis-5061	295	17	with	with	ADP
fis-5061	295	18	linear	linear	PROPN
fis-5061	295	19	characteristics	characteristic	NOUN
fis-5061	295	20	.	.	PUNCT
fis-5061	296	1	gaussian	gaussian	NOUN
fis-5061	296	2	and	and	CCONJ
fis-5061	296	3	generalized	generalized	ADJ
fis-5061	296	4	bell	bell	NOUN
fis-5061	296	5	mfs	mfs	NOUN
fis-5061	296	6	are	be	AUX
fis-5061	296	7	smooth	smooth	ADJ
fis-5061	296	8	and	and	CCONJ
fis-5061	296	9	continuous	continuous	ADJ
fis-5061	296	10	,	,	PUNCT
fis-5061	296	11	making	make	VERB
fis-5061	296	12	them	they	PRON
fis-5061	296	13	better	well	ADJ
fis-5061	296	14	for	for	ADP
fis-5061	296	15	applications	application	NOUN
fis-5061	296	16	requiring	require	VERB
fis-5061	296	17	smooth	smooth	ADJ
fis-5061	296	18	transitions	transition	NOUN
fis-5061	296	19	.	.	PUNCT
fis-5061	297	1	in	in	ADP
fis-5061	297	2	the	the	DET
fis-5061	297	3	present	present	ADJ
fis-5061	297	4	study	study	NOUN
fis-5061	297	5	,	,	PUNCT
fis-5061	297	6	anfis	anfis	PROPN
fis-5061	297	7	models	model	NOUN
fis-5061	297	8	are	be	AUX
fis-5061	297	9	developed	develop	VERB
fis-5061	297	10	using	use	VERB
fis-5061	297	11	triangular	triangular	NOUN
fis-5061	297	12	,	,	PUNCT
fis-5061	297	13	trapezoidal	trapezoidal	ADJ
fis-5061	297	14	,	,	PUNCT
fis-5061	297	15	gaussian	gaussian	NOUN
fis-5061	297	16	,	,	PUNCT
fis-5061	297	17	and	and	CCONJ
fis-5061	297	18	generalized	generalized	ADJ
fis-5061	297	19	bell	bell	NOUN
fis-5061	297	20	membership	membership	NOUN
fis-5061	297	21	functions	function	NOUN
fis-5061	297	22	.	.	PUNCT
fis-5061	298	1	the	the	DET
fis-5061	298	2	output	output	NOUN
fis-5061	298	3	membership	membership	NOUN
fis-5061	298	4	functions	function	NOUN
fis-5061	298	5	of	of	ADP
fis-5061	298	6	this	this	DET
fis-5061	298	7	kind	kind	NOUN
fis-5061	298	8	of	of	ADP
fis-5061	298	9	fis	fis	PROPN
fis-5061	298	10	are	be	AUX
fis-5061	298	11	either	either	CCONJ
fis-5061	298	12	constant	constant	ADJ
fis-5061	298	13	or	or	CCONJ
fis-5061	298	14	linear	linear	ADJ
fis-5061	298	15	.	.	PUNCT
fis-5061	299	1	in	in	ADP
fis-5061	299	2	this	this	DET
fis-5061	299	3	work	work	NOUN
fis-5061	299	4	,	,	PUNCT
fis-5061	299	5	output	output	NOUN
fis-5061	299	6	membership	membership	NOUN
fis-5061	299	7	functions	function	NOUN
fis-5061	299	8	are	be	AUX
fis-5061	299	9	selected	select	VERB
fis-5061	299	10	as	as	ADP
fis-5061	299	11	constant	constant	ADJ
fis-5061	299	12	.	.	PUNCT
fis-5061	300	1	the	the	DET
fis-5061	300	2	next	next	ADJ
fis-5061	300	3	stage	stage	NOUN
fis-5061	300	4	is	be	AUX
fis-5061	300	5	training	train	VERB
fis-5061	300	6	a	a	DET
fis-5061	300	7	fis	fis	NOUN
fis-5061	300	8	using	use	VERB
fis-5061	300	9	either	either	CCONJ
fis-5061	300	10	hybrid	hybrid	NOUN
fis-5061	300	11	or	or	CCONJ
fis-5061	300	12	backpropagation	backpropagation	NOUN
fis-5061	300	13	optimization	optimization	NOUN
fis-5061	300	14	methods	method	NOUN
fis-5061	300	15	.	.	PUNCT
fis-5061	301	1	in	in	ADP
fis-5061	301	2	this	this	DET
fis-5061	301	3	study	study	NOUN
fis-5061	301	4	,	,	PUNCT
fis-5061	301	5	hybrid	hybrid	ADJ
fis-5061	301	6	optimization	optimization	NOUN
fis-5061	301	7	is	be	AUX
fis-5061	301	8	opted	opt	VERB
fis-5061	301	9	for	for	ADP
fis-5061	301	10	with	with	ADP
fis-5061	301	11	a	a	DET
fis-5061	301	12	view	view	NOUN
fis-5061	301	13	to	to	ADP
fis-5061	301	14	combining	combine	VERB
fis-5061	301	15	different	different	ADJ
fis-5061	301	16	optimization	optimization	NOUN
fis-5061	301	17	techniques	technique	NOUN
fis-5061	301	18	for	for	ADP
fis-5061	301	19	fine	fine	ADV
fis-5061	301	20	-	-	PUNCT
fis-5061	301	21	tuning	tune	VERB
fis-5061	301	22	the	the	DET
fis-5061	301	23	parameters	parameter	NOUN
fis-5061	301	24	of	of	ADP
fis-5061	301	25	the	the	DET
fis-5061	301	26	fis	fis	PROPN
fis-5061	301	27	,	,	PUNCT
fis-5061	301	28	such	such	ADJ
fis-5061	301	29	as	as	ADP
fis-5061	301	30	membership	membership	NOUN
fis-5061	301	31	functions	function	NOUN
fis-5061	301	32	and	and	CCONJ
fis-5061	301	33	rule	rule	VERB
fis-5061	301	34	weights	weight	NOUN
fis-5061	301	35	.	.	PUNCT
fis-5061	302	1	hybrid	hybrid	ADJ
fis-5061	302	2	methods	method	NOUN
fis-5061	302	3	can	can	AUX
fis-5061	302	4	leverage	leverage	VERB
fis-5061	302	5	the	the	DET
fis-5061	302	6	strengths	strength	NOUN
fis-5061	302	7	of	of	ADP
fis-5061	302	8	various	various	ADJ
fis-5061	302	9	optimization	optimization	NOUN
fis-5061	302	10	algorithms	algorithm	NOUN
fis-5061	302	11	to	to	PART
fis-5061	302	12	achieve	achieve	VERB
fis-5061	302	13	better	well	ADJ
fis-5061	302	14	performance	performance	NOUN
fis-5061	302	15	and	and	CCONJ
fis-5061	302	16	faster	fast	ADJ
fis-5061	302	17	convergence	convergence	NOUN
fis-5061	302	18	.	.	PUNCT
fis-5061	303	1	optimizing	optimize	VERB
fis-5061	303	2	the	the	DET
fis-5061	303	3	parameters	parameter	NOUN
fis-5061	303	4	of	of	ADP
fis-5061	303	5	these	these	DET
fis-5061	303	6	membership	membership	NOUN
fis-5061	303	7	p.	p.	PROPN
fis-5061	303	8	kulkarni	kulkarni	PROPN
fis-5061	303	9	et	et	PROPN
fis-5061	303	10	alii	alii	PROPN
fis-5061	303	11	,	,	PUNCT
fis-5061	303	12	frattura	frattura	PROPN
fis-5061	303	13	ed	ed	PROPN
fis-5061	303	14	integrità	integrità	PROPN
fis-5061	303	15	strutturale	strutturale	PROPN
fis-5061	303	16	,	,	PUNCT
fis-5061	303	17	70	70	NUM
fis-5061	303	18	(	(	PUNCT
fis-5061	303	19	2024	2024	NUM
fis-5061	303	20	)	)	PUNCT
fis-5061	303	21	71	71	NUM
fis-5061	303	22	-	-	SYM
fis-5061	303	23	90	90	NUM
fis-5061	303	24	;	;	PUNCT
fis-5061	303	25	doi	doi	NOUN
fis-5061	303	26	:	:	PUNCT
fis-5061	303	27	10.3221	10.3221	NUM
fis-5061	303	28	/	/	SYM
fis-5061	303	29	igf	igf	PROPN
fis-5061	303	30	-	-	PROPN
fis-5061	303	31	esis.70.04	esis.70.04	PROPN
fis-5061	303	32	83	83	NUM
fis-5061	303	33	functions	function	NOUN
fis-5061	303	34	can	can	AUX
fis-5061	303	35	significantly	significantly	ADV
fis-5061	303	36	enhance	enhance	VERB
fis-5061	303	37	the	the	DET
fis-5061	303	38	performance	performance	NOUN
fis-5061	303	39	of	of	ADP
fis-5061	303	40	the	the	DET
fis-5061	303	41	fis	fis	PROPN
fis-5061	303	42	.	.	PUNCT
fis-5061	304	1	hyperparameters	hyperparameter	NOUN
fis-5061	304	2	used	use	VERB
fis-5061	304	3	to	to	PART
fis-5061	304	4	develop	develop	VERB
fis-5061	304	5	the	the	DET
fis-5061	304	6	anfis	anfis	PROPN
fis-5061	304	7	models	model	NOUN
fis-5061	304	8	for	for	ADP
fis-5061	304	9	cutting	cut	VERB
fis-5061	304	10	force	force	NOUN
fis-5061	304	11	(	(	PUNCT
fis-5061	304	12	fc	fc	PROPN
fis-5061	304	13	)	)	PUNCT
fis-5061	304	14	,	,	PUNCT
fis-5061	304	15	surface	surface	NOUN
fis-5061	304	16	roughness	roughness	NOUN
fis-5061	304	17	(	(	PUNCT
fis-5061	304	18	ra	ra	PROPN
fis-5061	304	19	)	)	PUNCT
fis-5061	304	20	,	,	PUNCT
fis-5061	304	21	and	and	CCONJ
fis-5061	304	22	tool	tool	NOUN
fis-5061	304	23	life	life	NOUN
fis-5061	304	24	(	(	PUNCT
fis-5061	304	25	tl	tl	PROPN
fis-5061	304	26	)	)	PUNCT
fis-5061	304	27	are	be	AUX
fis-5061	304	28	as	as	SCONJ
fis-5061	304	29	shown	show	VERB
fis-5061	304	30	in	in	ADP
fis-5061	304	31	tab	tab	NOUN
fis-5061	304	32	.	.	PUNCT
fis-5061	305	1	4	4	X
fis-5061	305	2	.	.	X
fis-5061	305	3	anfis	anfis	PROPN
fis-5061	305	4	parameter	parameter	PROPN
fis-5061	305	5	characteristics	characteristics	PROPN
fis-5061	305	6	membership	membership	NOUN
fis-5061	305	7	functions	function	NOUN
fis-5061	305	8	(	(	PUNCT
fis-5061	305	9	mfs	mfs	PROPN
fis-5061	305	10	)	)	PUNCT
fis-5061	305	11	triangular	triangular	NOUN
fis-5061	305	12	(	(	PUNCT
fis-5061	305	13	trimf	trimf	NOUN
fis-5061	305	14	)	)	PUNCT
fis-5061	305	15	,	,	PUNCT
fis-5061	305	16	trapezoidal	trapezoidal	NOUN
fis-5061	305	17	(	(	PUNCT
fis-5061	305	18	trapmf	trapmf	NOUN
fis-5061	305	19	)	)	PUNCT
fis-5061	305	20	,	,	PUNCT
fis-5061	305	21	gaussian	gaussian	NOUN
fis-5061	305	22	(	(	PUNCT
fis-5061	305	23	gaussmf	gaussmf	NOUN
fis-5061	305	24	)	)	PUNCT
fis-5061	305	25	,	,	PUNCT
fis-5061	305	26	and	and	CCONJ
fis-5061	305	27	generalized	generalized	ADJ
fis-5061	305	28	bell	bell	NOUN
fis-5061	305	29	(	(	PUNCT
fis-5061	305	30	gbellmf	gbellmf	NOUN
fis-5061	305	31	)	)	PUNCT
fis-5061	305	32	membership	membership	NOUN
fis-5061	305	33	function	function	NOUN
fis-5061	305	34	output	output	NOUN
fis-5061	305	35	constant	constant	ADJ
fis-5061	305	36	fuzzy	fuzzy	ADJ
fis-5061	305	37	inference	inference	NOUN
fis-5061	305	38	system	system	NOUN
fis-5061	305	39	(	(	PUNCT
fis-5061	305	40	fis	fis	PROPN
fis-5061	305	41	)	)	PUNCT
fis-5061	305	42	takagi	takagi	NOUN
fis-5061	305	43	-	-	PUNCT
fis-5061	305	44	sugeno	sugeno	NOUN
fis-5061	305	45	fuzzy	fuzzy	ADJ
fis-5061	305	46	model	model	NOUN
fis-5061	305	47	no	no	PROPN
fis-5061	305	48	of	of	ADP
fis-5061	305	49	epoch	epoch	PROPN
fis-5061	305	50	10	10	NUM
fis-5061	305	51	no	no	NOUN
fis-5061	305	52	of	of	ADP
fis-5061	305	53	fuzzy	fuzzy	ADJ
fis-5061	305	54	rules	rule	NOUN
fis-5061	305	55	27	27	NUM
fis-5061	305	56	weight	weight	NOUN
fis-5061	305	57	of	of	ADP
fis-5061	305	58	rules	rule	NOUN
fis-5061	305	59	1	1	NUM
fis-5061	305	60	no	no	NOUN
fis-5061	305	61	of	of	ADP
fis-5061	305	62	nodes	node	NOUN
fis-5061	305	63	78	78	NUM
fis-5061	305	64	no	no	NOUN
fis-5061	305	65	of	of	ADP
fis-5061	305	66	linear	linear	PROPN
fis-5061	305	67	parameters	parameter	NOUN
fis-5061	305	68	27	27	NUM
fis-5061	305	69	no	no	NOUN
fis-5061	305	70	of	of	ADP
fis-5061	305	71	non	non	ADJ
fis-5061	305	72	-	-	ADJ
fis-5061	305	73	linear	linear	ADJ
fis-5061	305	74	parameters	parameter	NOUN
fis-5061	305	75	27	27	NUM
fis-5061	305	76	no	no	NOUN
fis-5061	305	77	of	of	ADP
fis-5061	305	78	training	training	NOUN
fis-5061	305	79	data	datum	NOUN
fis-5061	305	80	pairs	pair	NOUN
fis-5061	305	81	15	15	NUM
fis-5061	305	82	table	table	NOUN
fis-5061	305	83	4	4	NUM
fis-5061	305	84	:	:	PUNCT
fis-5061	305	85	anfis	anfis	VERB
fis-5061	305	86	model	model	NOUN
fis-5061	305	87	parameters	parameter	NOUN
fis-5061	305	88	.	.	PUNCT
fis-5061	306	1	fis	fis	PROPN
fis-5061	306	2	for	for	ADP
fis-5061	306	3	each	each	PRON
fis-5061	306	4	of	of	ADP
fis-5061	306	5	the	the	DET
fis-5061	306	6	response	response	NOUN
fis-5061	306	7	,	,	PUNCT
fis-5061	306	8	namely	namely	ADV
fis-5061	306	9	fc	fc	PROPN
fis-5061	306	10	,	,	PUNCT
fis-5061	306	11	ra	ra	PROPN
fis-5061	306	12	,	,	PUNCT
fis-5061	306	13	and	and	CCONJ
fis-5061	306	14	 	 	SPACE
fis-5061	306	15	tl	tl	PROPN
fis-5061	306	16	was	be	AUX
fis-5061	306	17	trained	train	VERB
fis-5061	306	18	using	use	VERB
fis-5061	306	19	the	the	DET
fis-5061	306	20	training	training	NOUN
fis-5061	306	21	data	datum	NOUN
fis-5061	306	22	as	as	SCONJ
fis-5061	306	23	depicted	depict	VERB
fis-5061	306	24	in	in	ADP
fis-5061	306	25	tab	tab	NOUN
fis-5061	306	26	.	.	PUNCT
fis-5061	307	1	2	2	NUM
fis-5061	307	2	.	.	X
fis-5061	307	3	error	error	NOUN
fis-5061	307	4	tolerance	tolerance	NOUN
fis-5061	307	5	was	be	AUX
fis-5061	307	6	set	set	VERB
fis-5061	307	7	to	to	ADP
fis-5061	307	8	zero	zero	NUM
fis-5061	307	9	.	.	PUNCT
fis-5061	308	1	the	the	DET
fis-5061	308	2	data	datum	NOUN
fis-5061	308	3	was	be	AUX
fis-5061	308	4	trained	train	VERB
fis-5061	308	5	using	use	VERB
fis-5061	308	6	a	a	DET
fis-5061	308	7	fixed	fix	VERB
fis-5061	308	8	number	number	NOUN
fis-5061	308	9	of	of	ADP
fis-5061	308	10	epochs	epoch	NOUN
fis-5061	308	11	,	,	PUNCT
fis-5061	308	12	i.e.	i.e.	X
fis-5061	308	13	,	,	PUNCT
fis-5061	308	14	10	10	NUM
fis-5061	308	15	.	.	PUNCT
fis-5061	309	1	fis	fis	PROPN
fis-5061	309	2	training	training	NOUN
fis-5061	309	3	was	be	AUX
fis-5061	309	4	stopped	stop	VERB
fis-5061	309	5	once	once	SCONJ
fis-5061	309	6	the	the	DET
fis-5061	309	7	designated	designate	VERB
fis-5061	309	8	epoch	epoch	NOUN
fis-5061	309	9	number	number	NOUN
fis-5061	309	10	is	be	AUX
fis-5061	309	11	reached	reach	VERB
fis-5061	309	12	and	and	CCONJ
fis-5061	309	13	minimal	minimal	ADJ
fis-5061	309	14	training	training	NOUN
fis-5061	309	15	root	root	NOUN
fis-5061	309	16	mean	mean	VERB
fis-5061	309	17	squared	square	VERB
fis-5061	309	18	error	error	NOUN
fis-5061	309	19	(	(	PUNCT
fis-5061	309	20	rmse	rmse	NOUN
fis-5061	309	21	)	)	PUNCT
fis-5061	309	22	was	be	AUX
fis-5061	309	23	noted	note	VERB
fis-5061	309	24	for	for	ADP
fis-5061	309	25	the	the	DET
fis-5061	309	26	trained	train	VERB
fis-5061	309	27	model	model	NOUN
fis-5061	309	28	.	.	PUNCT
fis-5061	310	1	training	training	NOUN
fis-5061	310	2	error	error	NOUN
fis-5061	310	3	,	,	PUNCT
fis-5061	310	4	i.e.	i.e.	X
fis-5061	310	5	,	,	PUNCT
fis-5061	310	6	root	root	NOUN
fis-5061	310	7	mean	mean	VERB
fis-5061	310	8	squared	square	VERB
fis-5061	310	9	error	error	NOUN
fis-5061	310	10	(	(	PUNCT
fis-5061	310	11	rmse	rmse	NOUN
fis-5061	310	12	)	)	PUNCT
fis-5061	310	13	for	for	ADP
fis-5061	310	14	an	an	DET
fis-5061	310	15	anfis	anfis	ADJ
fis-5061	310	16	cutting	cutting	NOUN
fis-5061	310	17	force	force	NOUN
fis-5061	310	18	,	,	PUNCT
fis-5061	310	19	surface	surface	NOUN
fis-5061	310	20	roughness	roughness	NOUN
fis-5061	310	21	,	,	PUNCT
fis-5061	310	22	and	and	CCONJ
fis-5061	310	23	tool	tool	NOUN
fis-5061	310	24	life	life	NOUN
fis-5061	310	25	models	model	NOUN
fis-5061	310	26	when	when	SCONJ
fis-5061	310	27	using	use	VERB
fis-5061	310	28	triangular	triangular	NOUN
fis-5061	310	29	mf	mf	NOUN
fis-5061	310	30	are	be	AUX
fis-5061	310	31	displayed	display	VERB
fis-5061	310	32	in	in	ADP
fis-5061	310	33	fig	fig	NOUN
fis-5061	310	34	.	.	PUNCT
fis-5061	311	1	12	12	NUM
fis-5061	311	2	.	.	PUNCT
fis-5061	312	1	the	the	DET
fis-5061	312	2	training	training	NOUN
fis-5061	312	3	errors	error	NOUN
fis-5061	312	4	for	for	ADP
fis-5061	312	5	fc	fc	PROPN
fis-5061	312	6	,	,	PUNCT
fis-5061	312	7	ra	ra	PROPN
fis-5061	312	8	,	,	PUNCT
fis-5061	312	9	and	and	CCONJ
fis-5061	312	10	 	 	SPACE
fis-5061	312	11	tl	tl	PROPN
fis-5061	312	12	can	can	AUX
fis-5061	312	13	be	be	AUX
fis-5061	312	14	seen	see	VERB
fis-5061	312	15	as	as	ADP
fis-5061	312	16	0.000796	0.000796	NUM
fis-5061	312	17	,	,	PUNCT
fis-5061	312	18	0.000003	0.000003	NUM
fis-5061	312	19	,	,	PUNCT
fis-5061	312	20	and	and	CCONJ
fis-5061	312	21	0.000024	0.000024	NUM
fis-5061	312	22	,	,	PUNCT
fis-5061	312	23	respectively	respectively	ADV
fis-5061	312	24	.	.	PUNCT
fis-5061	313	1	figure	figure	NOUN
fis-5061	313	2	12	12	NUM
fis-5061	313	3	:	:	PUNCT
fis-5061	313	4	training	training	NOUN
fis-5061	313	5	error	error	NOUN
fis-5061	313	6	plots	plot	NOUN
fis-5061	313	7	for	for	ADP
fis-5061	313	8	fc	fc	PROPN
fis-5061	313	9	,	,	PUNCT
fis-5061	313	10	ra	ra	PROPN
fis-5061	313	11	,	,	PUNCT
fis-5061	313	12	and	and	CCONJ
fis-5061	313	13	tl	tl	PROPN
fis-5061	313	14	.	.	PUNCT
fis-5061	314	1	the	the	DET
fis-5061	314	2	anfis	anfis	PROPN
fis-5061	314	3	models	model	NOUN
fis-5061	314	4	of	of	ADP
fis-5061	314	5	cutting	cut	VERB
fis-5061	314	6	force	force	NOUN
fis-5061	314	7	,	,	PUNCT
fis-5061	314	8	surface	surface	NOUN
fis-5061	314	9	roughness	roughness	NOUN
fis-5061	314	10	,	,	PUNCT
fis-5061	314	11	and	and	CCONJ
fis-5061	314	12	tool	tool	NOUN
fis-5061	314	13	life	life	NOUN
fis-5061	314	14	are	be	AUX
fis-5061	314	15	developed	develop	VERB
fis-5061	314	16	for	for	ADP
fis-5061	314	17	each	each	PRON
fis-5061	314	18	of	of	ADP
fis-5061	314	19	the	the	DET
fis-5061	314	20	responses	response	NOUN
fis-5061	314	21	by	by	ADP
fis-5061	314	22	establishing	establish	VERB
fis-5061	314	23	a	a	DET
fis-5061	314	24	fis	fis	PROPN
fis-5061	314	25	,	,	PUNCT
fis-5061	314	26	specifying	specify	VERB
fis-5061	314	27	membership	membership	NOUN
fis-5061	314	28	functions	function	NOUN
fis-5061	314	29	,	,	PUNCT
fis-5061	314	30	and	and	CCONJ
fis-5061	314	31	including	include	VERB
fis-5061	314	32	fuzzy	fuzzy	ADJ
fis-5061	314	33	rules	rule	NOUN
fis-5061	314	34	.	.	PUNCT
fis-5061	315	1	in	in	ADP
fis-5061	315	2	this	this	DET
fis-5061	315	3	investigation	investigation	NOUN
fis-5061	315	4	,	,	PUNCT
fis-5061	315	5	twenty	twenty	NUM
fis-5061	315	6	-	-	PUNCT
fis-5061	315	7	seven	seven	NUM
fis-5061	315	8	fuzzy	fuzzy	ADJ
fis-5061	315	9	rules	rule	NOUN
fis-5061	315	10	are	be	AUX
fis-5061	315	11	employed	employ	VERB
fis-5061	315	12	.	.	PUNCT
fis-5061	316	1	fuzzy	fuzzy	ADJ
fis-5061	316	2	rules	rule	NOUN
fis-5061	316	3	,	,	PUNCT
fis-5061	316	4	typically	typically	ADV
fis-5061	316	5	"	"	PUNCT
fis-5061	316	6	if	if	SCONJ
fis-5061	316	7	-	-	PUNCT
fis-5061	316	8	then	then	ADV
fis-5061	316	9	"	"	PUNCT
fis-5061	316	10	statements	statement	NOUN
fis-5061	316	11	,	,	PUNCT
fis-5061	316	12	form	form	VERB
fis-5061	316	13	the	the	DET
fis-5061	316	14	foundation	foundation	NOUN
fis-5061	316	15	of	of	ADP
fis-5061	316	16	a	a	DET
fis-5061	316	17	fuzzy	fuzzy	ADJ
fis-5061	316	18	inference	inference	NOUN
fis-5061	316	19	system	system	NOUN
fis-5061	316	20	(	(	PUNCT
fis-5061	316	21	fis	fis	PROPN
fis-5061	316	22	)	)	PUNCT
fis-5061	316	23	,	,	PUNCT
fis-5061	316	24	defining	define	VERB
fis-5061	316	25	the	the	DET
fis-5061	316	26	relationship	relationship	NOUN
fis-5061	316	27	between	between	ADP
fis-5061	316	28	input	input	NOUN
fis-5061	316	29	and	and	CCONJ
fis-5061	316	30	output	output	NOUN
fis-5061	316	31	variables	variable	NOUN
fis-5061	316	32	.	.	PUNCT
fis-5061	317	1	each	each	DET
fis-5061	317	2	rule	rule	NOUN
fis-5061	317	3	is	be	AUX
fis-5061	317	4	constructed	construct	VERB
fis-5061	317	5	using	use	VERB
fis-5061	317	6	linguistic	linguistic	ADJ
fis-5061	317	7	variables	variable	NOUN
fis-5061	317	8	and	and	CCONJ
fis-5061	317	9	fuzzy	fuzzy	ADJ
fis-5061	317	10	sets	set	NOUN
fis-5061	317	11	,	,	PUNCT
fis-5061	317	12	representing	represent	VERB
fis-5061	317	13	expert	expert	ADJ
fis-5061	317	14	knowledge	knowledge	NOUN
fis-5061	317	15	,	,	PUNCT
fis-5061	317	16	or	or	CCONJ
fis-5061	317	17	learned	learn	VERB
fis-5061	317	18	patterns	pattern	NOUN
fis-5061	317	19	in	in	ADP
fis-5061	317	20	the	the	DET
fis-5061	317	21	data	datum	NOUN
fis-5061	317	22	.	.	PUNCT
fis-5061	318	1	matlab	matlab	PROPN
fis-5061	318	2	's	's	PART
fis-5061	318	3	fuzzy	fuzzy	ADJ
fis-5061	318	4	rules	rule	NOUN
fis-5061	318	5	offer	offer	VERB
fis-5061	318	6	a	a	DET
fis-5061	318	7	robust	robust	ADJ
fis-5061	318	8	method	method	NOUN
fis-5061	318	9	for	for	ADP
fis-5061	318	10	defining	define	VERB
fis-5061	318	11	and	and	CCONJ
fis-5061	318	12	manipulating	manipulate	VERB
fis-5061	318	13	fuzzy	fuzzy	ADJ
fis-5061	318	14	logic	logic	NOUN
fis-5061	318	15	systems	system	NOUN
fis-5061	318	16	.	.	PUNCT
fis-5061	319	1	fig	fig	NOUN
fis-5061	319	2	.	.	PUNCT
fis-5061	320	1	13	13	NUM
fis-5061	320	2	depicts	depict	VERB
fis-5061	320	3	the	the	DET
fis-5061	320	4	structure	structure	NOUN
fis-5061	320	5	for	for	ADP
fis-5061	320	6	anfis	anfis	PROPN
fis-5061	320	7	model	model	NOUN
fis-5061	320	8	developed	develop	VERB
fis-5061	320	9	for	for	ADP
fis-5061	320	10	cutting	cut	VERB
fis-5061	320	11	force	force	NOUN
fis-5061	320	12	(	(	PUNCT
fis-5061	320	13	fc	fc	PROPN
fis-5061	320	14	)	)	PUNCT
fis-5061	320	15	,	,	PUNCT
fis-5061	320	16	surface	surface	NOUN
fis-5061	320	17	roughness	roughness	NOUN
fis-5061	320	18	(	(	PUNCT
fis-5061	320	19	ra	ra	PROPN
fis-5061	320	20	)	)	PUNCT
fis-5061	320	21	,	,	PUNCT
fis-5061	320	22	and	and	CCONJ
fis-5061	320	23	tool	tool	NOUN
fis-5061	320	24	life	life	NOUN
fis-5061	320	25	(	(	PUNCT
fis-5061	320	26	tl	tl	PROPN
fis-5061	320	27	)	)	PUNCT
fis-5061	320	28	.	.	PUNCT
fis-5061	321	1	the	the	DET
fis-5061	321	2	developed	develop	VERB
fis-5061	321	3	models	model	NOUN
fis-5061	321	4	were	be	AUX
fis-5061	321	5	tested	test	VERB
fis-5061	321	6	,	,	PUNCT
fis-5061	321	7	and	and	CCONJ
fis-5061	321	8	the	the	DET
fis-5061	321	9	testing	testing	NOUN
fis-5061	321	10	errors	error	NOUN
fis-5061	321	11	for	for	ADP
fis-5061	321	12	training	training	NOUN
fis-5061	321	13	data	datum	NOUN
fis-5061	321	14	and	and	CCONJ
fis-5061	321	15	testing	testing	NOUN
fis-5061	321	16	data	datum	NOUN
fis-5061	321	17	for	for	ADP
fis-5061	321	18	fc	fc	PROPN
fis-5061	321	19	,	,	PUNCT
fis-5061	321	20	ra	ra	PROPN
fis-5061	321	21	,	,	PUNCT
fis-5061	321	22	and	and	CCONJ
fis-5061	321	23	 	 	SPACE
fis-5061	321	24	tl	tl	PROPN
fis-5061	321	25	were	be	AUX
fis-5061	321	26	evaluated	evaluate	VERB
fis-5061	321	27	.	.	PUNCT
fis-5061	322	1	fig	fig	NOUN
fis-5061	322	2	.	.	PUNCT
fis-5061	323	1	14	14	NUM
fis-5061	323	2	depicts	depict	VERB
fis-5061	323	3	the	the	DET
fis-5061	323	4	mapping	mapping	NOUN
fis-5061	323	5	of	of	ADP
fis-5061	323	6	training	training	NOUN
fis-5061	323	7	data	datum	NOUN
fis-5061	323	8	and	and	CCONJ
fis-5061	323	9	testing	testing	NOUN
fis-5061	323	10	data	datum	NOUN
fis-5061	323	11	with	with	ADP
fis-5061	323	12	the	the	DET
fis-5061	323	13	fis	fis	PROPN
fis-5061	323	14	output	output	NOUN
fis-5061	323	15	for	for	ADP
fis-5061	323	16	fc	fc	PROPN
fis-5061	323	17	,	,	PUNCT
fis-5061	323	18	ra	ra	PROPN
fis-5061	323	19	,	,	PUNCT
fis-5061	323	20	and	and	CCONJ
fis-5061	323	21	 	 	SPACE
fis-5061	323	22	tl	tl	PROPN
fis-5061	323	23	when	when	SCONJ
fis-5061	323	24	using	use	VERB
fis-5061	323	25	p.	p.	PROPN
fis-5061	323	26	kulkarni	kulkarni	PROPN
fis-5061	323	27	et	et	PROPN
fis-5061	323	28	alii	alii	PROPN
fis-5061	323	29	,	,	PUNCT
fis-5061	323	30	frattura	frattura	PROPN
fis-5061	323	31	ed	ed	PROPN
fis-5061	323	32	integrità	integrità	PROPN
fis-5061	323	33	strutturale	strutturale	PROPN
fis-5061	323	34	,	,	PUNCT
fis-5061	323	35	70	70	NUM
fis-5061	323	36	(	(	PUNCT
fis-5061	323	37	2024	2024	NUM
fis-5061	323	38	)	)	PUNCT
fis-5061	323	39	71	71	NUM
fis-5061	323	40	-	-	SYM
fis-5061	323	41	90	90	NUM
fis-5061	323	42	;	;	PUNCT
fis-5061	323	43	doi	doi	NOUN
fis-5061	323	44	:	:	PUNCT
fis-5061	323	45	10.3221	10.3221	NUM
fis-5061	323	46	/	/	SYM
fis-5061	323	47	igf	igf	PROPN
fis-5061	323	48	-	-	PROPN
fis-5061	323	49	esis.70.04	esis.70.04	PROPN
fis-5061	323	50	84	84	NUM
fis-5061	323	51	triangular	triangular	NOUN
fis-5061	323	52	mf	mf	VERB
fis-5061	323	53	.	.	PUNCT
fis-5061	323	54	additionally	additionally	ADV
fis-5061	323	55	,	,	PUNCT
fis-5061	323	56	tab	tab	NOUN
fis-5061	323	57	.	.	NOUN
fis-5061	323	58	5	5	NUM
fis-5061	323	59	displays	display	VERB
fis-5061	323	60	the	the	DET
fis-5061	323	61	testing	testing	NOUN
fis-5061	323	62	error	error	NOUN
fis-5061	323	63	for	for	ADP
fis-5061	323	64	the	the	DET
fis-5061	323	65	training	training	NOUN
fis-5061	323	66	and	and	CCONJ
fis-5061	323	67	testing	testing	NOUN
fis-5061	323	68	data	datum	NOUN
fis-5061	323	69	for	for	ADP
fis-5061	323	70	each	each	DET
fis-5061	323	71	response	response	NOUN
fis-5061	323	72	,	,	PUNCT
fis-5061	323	73	along	along	ADP
fis-5061	323	74	with	with	ADP
fis-5061	323	75	the	the	DET
fis-5061	323	76	corresponding	corresponding	ADJ
fis-5061	323	77	r	r	NOUN
fis-5061	323	78	-	-	PUNCT
fis-5061	323	79	squared	square	VERB
fis-5061	323	80	values	value	NOUN
fis-5061	323	81	,	,	PUNCT
fis-5061	323	82	when	when	SCONJ
fis-5061	323	83	using	use	VERB
fis-5061	323	84	the	the	DET
fis-5061	323	85	triangular	triangular	NOUN
fis-5061	323	86	,	,	PUNCT
fis-5061	323	87	trapezoidal	trapezoidal	ADJ
fis-5061	323	88	,	,	PUNCT
fis-5061	323	89	gaussian	gaussian	NOUN
fis-5061	323	90	,	,	PUNCT
fis-5061	323	91	and	and	CCONJ
fis-5061	323	92	generalized	generalized	ADJ
fis-5061	323	93	bell	bell	NOUN
fis-5061	323	94	membership	membership	NOUN
fis-5061	323	95	functions	function	NOUN
fis-5061	323	96	.	.	PUNCT
fis-5061	324	1	the	the	DET
fis-5061	324	2	lowest	low	ADJ
fis-5061	324	3	testing	testing	NOUN
fis-5061	324	4	error	error	NOUN
fis-5061	324	5	with	with	ADP
fis-5061	324	6	the	the	DET
fis-5061	324	7	better	well	ADJ
fis-5061	324	8	r	r	NOUN
fis-5061	324	9	-	-	PUNCT
fis-5061	324	10	squared	square	VERB
fis-5061	324	11	value	value	NOUN
fis-5061	324	12	close	close	ADV
fis-5061	324	13	to	to	ADP
fis-5061	324	14	one	one	NUM
fis-5061	324	15	can	can	AUX
fis-5061	324	16	be	be	AUX
fis-5061	324	17	seen	see	VERB
fis-5061	324	18	for	for	ADP
fis-5061	324	19	the	the	DET
fis-5061	324	20	triangular	triangular	NOUN
fis-5061	324	21	membership	membership	NOUN
fis-5061	324	22	function	function	NOUN
fis-5061	324	23	,	,	PUNCT
fis-5061	324	24	followed	follow	VERB
fis-5061	324	25	by	by	ADP
fis-5061	324	26	the	the	DET
fis-5061	324	27	gaussian	gaussian	NOUN
fis-5061	324	28	(	(	PUNCT
fis-5061	324	29	gaussmf	gaussmf	NOUN
fis-5061	324	30	)	)	PUNCT
fis-5061	324	31	membership	membership	NOUN
fis-5061	324	32	function	function	NOUN
fis-5061	324	33	for	for	ADP
fis-5061	324	34	the	the	DET
fis-5061	324	35	anfis	anfis	PROPN
fis-5061	324	36	cutting	cut	VERB
fis-5061	324	37	force	force	NOUN
fis-5061	324	38	and	and	CCONJ
fis-5061	324	39	surface	surface	NOUN
fis-5061	324	40	roughness	roughness	NOUN
fis-5061	324	41	models	model	NOUN
fis-5061	324	42	.	.	PUNCT
fis-5061	325	1	however	however	ADV
fis-5061	325	2	,	,	PUNCT
fis-5061	325	3	no	no	DET
fis-5061	325	4	significant	significant	ADJ
fis-5061	325	5	difference	difference	NOUN
fis-5061	325	6	can	can	AUX
fis-5061	325	7	be	be	AUX
fis-5061	325	8	seen	see	VERB
fis-5061	325	9	in	in	ADP
fis-5061	325	10	the	the	DET
fis-5061	325	11	testing	testing	NOUN
fis-5061	325	12	error	error	NOUN
fis-5061	325	13	or	or	CCONJ
fis-5061	325	14	r	r	NOUN
fis-5061	325	15	-	-	PUNCT
fis-5061	325	16	squared	square	VERB
fis-5061	325	17	value	value	NOUN
fis-5061	325	18	for	for	ADP
fis-5061	325	19	the	the	DET
fis-5061	325	20	different	different	ADJ
fis-5061	325	21	mfs	mfs	NOUN
fis-5061	325	22	considered	consider	VERB
fis-5061	325	23	in	in	ADP
fis-5061	325	24	the	the	DET
fis-5061	325	25	present	present	ADJ
fis-5061	325	26	study	study	NOUN
fis-5061	325	27	.	.	PUNCT
fis-5061	326	1	the	the	DET
fis-5061	326	2	highest	high	ADJ
fis-5061	326	3	r	r	NOUN
fis-5061	326	4	-	-	PUNCT
fis-5061	326	5	squared	square	VERB
fis-5061	326	6	value	value	NOUN
fis-5061	326	7	and	and	CCONJ
fis-5061	326	8	the	the	DET
fis-5061	326	9	lowest	low	ADJ
fis-5061	326	10	testing	testing	NOUN
fis-5061	326	11	error	error	NOUN
fis-5061	326	12	can	can	AUX
fis-5061	326	13	be	be	AUX
fis-5061	326	14	seen	see	VERB
fis-5061	326	15	with	with	ADP
fis-5061	326	16	the	the	DET
fis-5061	326	17	triangular	triangular	NOUN
fis-5061	326	18	membership	membership	NOUN
fis-5061	326	19	function	function	NOUN
fis-5061	326	20	.	.	PUNCT
fis-5061	327	1	in	in	ADP
fis-5061	327	2	general	general	ADJ
fis-5061	327	3	,	,	PUNCT
fis-5061	327	4	this	this	DET
fis-5061	327	5	study	study	NOUN
fis-5061	327	6	found	find	VERB
fis-5061	327	7	better	well	ADJ
fis-5061	327	8	prediction	prediction	NOUN
fis-5061	327	9	accuracy	accuracy	NOUN
fis-5061	327	10	for	for	ADP
fis-5061	327	11	the	the	DET
fis-5061	327	12	responses	response	NOUN
fis-5061	327	13	with	with	ADP
fis-5061	327	14	the	the	DET
fis-5061	327	15	triangular	triangular	NOUN
fis-5061	327	16	membership	membership	NOUN
fis-5061	327	17	function	function	NOUN
fis-5061	327	18	.	.	PUNCT
fis-5061	328	1	however	however	ADV
fis-5061	328	2	,	,	PUNCT
fis-5061	328	3	this	this	DET
fis-5061	328	4	study	study	NOUN
fis-5061	328	5	finds	find	VERB
fis-5061	328	6	scope	scope	NOUN
fis-5061	328	7	for	for	ADP
fis-5061	328	8	further	further	ADJ
fis-5061	328	9	improvement	improvement	NOUN
fis-5061	328	10	in	in	ADP
fis-5061	328	11	the	the	DET
fis-5061	328	12	prediction	prediction	NOUN
fis-5061	328	13	accuracy	accuracy	NOUN
fis-5061	328	14	of	of	ADP
fis-5061	328	15	the	the	DET
fis-5061	328	16	anfis	anfis	PROPN
fis-5061	328	17	surface	surface	NOUN
fis-5061	328	18	roughness	roughness	NOUN
fis-5061	328	19	model	model	NOUN
fis-5061	328	20	,	,	PUNCT
fis-5061	328	21	considering	consider	VERB
fis-5061	328	22	hybrid	hybrid	ADJ
fis-5061	328	23	optimization	optimization	NOUN
fis-5061	328	24	methods	method	NOUN
fis-5061	328	25	for	for	ADP
fis-5061	328	26	fine	fine	ADV
fis-5061	328	27	-	-	PUNCT
fis-5061	328	28	tuning	tune	VERB
fis-5061	328	29	the	the	DET
fis-5061	328	30	fis	fis	PROPN
fis-5061	328	31	parameters	parameter	NOUN
fis-5061	328	32	,	,	PUNCT
fis-5061	328	33	such	such	ADJ
fis-5061	328	34	as	as	ADP
fis-5061	328	35	membership	membership	NOUN
fis-5061	328	36	functions	function	NOUN
fis-5061	328	37	and	and	CCONJ
fis-5061	328	38	rule	rule	VERB
fis-5061	328	39	weights	weight	NOUN
fis-5061	328	40	.	.	PUNCT
fis-5061	329	1	figure	figure	NOUN
fis-5061	329	2	13	13	NUM
fis-5061	329	3	:	:	PUNCT
fis-5061	329	4	developed	develop	VERB
fis-5061	329	5	anfis	anfis	ADJ
fis-5061	329	6	models	model	NOUN
fis-5061	329	7	for	for	ADP
fis-5061	329	8	fc	fc	PROPN
fis-5061	329	9	,	,	PUNCT
fis-5061	329	10	ra	ra	PROPN
fis-5061	329	11	,	,	PUNCT
fis-5061	329	12	and	and	CCONJ
fis-5061	329	13	tl	tl	PROPN
fis-5061	329	14	.	.	PUNCT
fis-5061	330	1	figure	figure	VERB
fis-5061	330	2	14	14	NUM
fis-5061	330	3	:	:	PUNCT
fis-5061	330	4	mapping	mapping	NOUN
fis-5061	330	5	of	of	ADP
fis-5061	330	6	training	training	NOUN
fis-5061	330	7	data	datum	NOUN
fis-5061	330	8	and	and	CCONJ
fis-5061	330	9	testing	testing	NOUN
fis-5061	330	10	data	datum	NOUN
fis-5061	330	11	with	with	ADP
fis-5061	330	12	fis	fis	PROPN
fis-5061	330	13	output	output	NOUN
fis-5061	330	14	for	for	ADP
fis-5061	330	15	fc	fc	PROPN
fis-5061	330	16	,	,	PUNCT
fis-5061	330	17	ra	ra	PROPN
fis-5061	330	18	,	,	PUNCT
fis-5061	330	19	and	and	CCONJ
fis-5061	330	20	 	 	SPACE
fis-5061	330	21	tl	tl	PROPN
fis-5061	330	22	.	.	PUNCT
fis-5061	331	1	p.	p.	NOUN
fis-5061	331	2	kulkarni	kulkarni	PROPN
fis-5061	331	3	et	et	PROPN
fis-5061	331	4	alii	alii	PROPN
fis-5061	331	5	,	,	PUNCT
fis-5061	331	6	frattura	frattura	PROPN
fis-5061	331	7	ed	ed	PROPN
fis-5061	331	8	integrità	integrità	PROPN
fis-5061	331	9	strutturale	strutturale	PROPN
fis-5061	331	10	,	,	PUNCT
fis-5061	331	11	70	70	NUM
fis-5061	331	12	(	(	PUNCT
fis-5061	331	13	2024	2024	NUM
fis-5061	331	14	)	)	PUNCT
fis-5061	331	15	71	71	NUM
fis-5061	331	16	-	-	SYM
fis-5061	331	17	90	90	NUM
fis-5061	331	18	;	;	PUNCT
fis-5061	331	19	doi	doi	NOUN
fis-5061	331	20	:	:	PUNCT
fis-5061	331	21	10.3221	10.3221	NUM
fis-5061	331	22	/	/	SYM
fis-5061	331	23	igf	igf	PROPN
fis-5061	331	24	-	-	PROPN
fis-5061	331	25	esis.70.04	esis.70.04	PROPN
fis-5061	331	26	85	85	NUM
fis-5061	331	27	type	type	NOUN
fis-5061	331	28	of	of	ADP
fis-5061	331	29	membership	membership	NOUN
fis-5061	331	30	function	function	NOUN
fis-5061	331	31	(	(	PUNCT
fis-5061	331	32	mf	mf	X
fis-5061	331	33	)	)	PUNCT
fis-5061	331	34	anfis	anfi	VERB
fis-5061	331	35	for	for	ADP
fis-5061	331	36	cutting	cut	VERB
fis-5061	331	37	force	force	NOUN
fis-5061	331	38			PROPN
fis-5061	331	39	fc	fc	PROPN
fis-5061	331	40	model	model	NOUN
fis-5061	331	41	anfis	anfi	VERB
fis-5061	331	42	for	for	ADP
fis-5061	331	43	surface	surface	NOUN
fis-5061	331	44	roughness	roughness	NOUN
fis-5061	331	45			PROPN
fis-5061	331	46	ra	ra	PROPN
fis-5061	331	47	model	model	NOUN
fis-5061	331	48	anfis	anfi	VERB
fis-5061	331	49	for	for	ADP
fis-5061	331	50	tool	tool	NOUN
fis-5061	331	51	life	life	NOUN
fis-5061	331	52	model	model	NOUN
fis-5061	331	53			PROPN
fis-5061	331	54	tl	tl	PROPN
fis-5061	331	55	average	average	ADJ
fis-5061	331	56	testing	testing	NOUN
fis-5061	331	57	error	error	NOUN
fis-5061	331	58	for	for	ADP
fis-5061	331	59	r2	r2	NOUN
fis-5061	331	60	for	for	ADP
fis-5061	331	61	test	test	NOUN
fis-5061	331	62	data	data	NOUN
fis-5061	331	63	average	average	ADJ
fis-5061	331	64	testing	testing	NOUN
fis-5061	331	65	error	error	NOUN
fis-5061	331	66	for	for	ADP
fis-5061	331	67	r2	r2	NOUN
fis-5061	331	68	for	for	ADP
fis-5061	331	69	test	test	NOUN
fis-5061	331	70	data	data	NOUN
fis-5061	331	71	average	average	ADJ
fis-5061	331	72	testing	testing	NOUN
fis-5061	331	73	error	error	NOUN
fis-5061	331	74	for	for	ADP
fis-5061	331	75	r2	r2	NOUN
fis-5061	331	76	for	for	ADP
fis-5061	331	77	test	test	NOUN
fis-5061	331	78	data	datum	NOUN
fis-5061	331	79	training	training	NOUN
fis-5061	331	80	data	datum	NOUN
fis-5061	331	81	testing	testing	NOUN
fis-5061	331	82	data	datum	NOUN
fis-5061	331	83	training	training	NOUN
fis-5061	331	84	data	datum	NOUN
fis-5061	331	85	testing	testing	NOUN
fis-5061	331	86	data	datum	NOUN
fis-5061	331	87	training	training	NOUN
fis-5061	331	88	data	datum	NOUN
fis-5061	331	89	testing	testing	NOUN
fis-5061	331	90	data	datum	NOUN
fis-5061	331	91	triangular	triangular	NOUN
fis-5061	331	92	(	(	PUNCT
fis-5061	331	93	trimf	trimf	NOUN
fis-5061	331	94	)	)	PUNCT
fis-5061	331	95	0.000751	0.000751	NUM
fis-5061	331	96	44.3491	44.3491	NUM
fis-5061	331	97	0.9815	0.9815	NUM
fis-5061	331	98	0.000003	0.000003	NUM
fis-5061	331	99	0.1291	0.1291	NUM
fis-5061	331	100	0.8543	0.8543	NUM
fis-5061	331	101	0.000024	0.000024	NUM
fis-5061	331	102	0.9198	0.9198	NUM
fis-5061	331	103	0.9986	0.9986	NUM
fis-5061	331	104	trapezoidal	trapezoidal	ADJ
fis-5061	331	105	(	(	PUNCT
fis-5061	331	106	trapmf	trapmf	NOUN
fis-5061	331	107	)	)	PUNCT
fis-5061	331	108	0.000741	0.000741	NUM
fis-5061	331	109	215.773	215.773	NUM
fis-5061	331	110	0.1594	0.1594	NUM
fis-5061	331	111	0.000003	0.000003	NUM
fis-5061	331	112	0.6521	0.6521	NUM
fis-5061	331	113	0.0052	0.0052	NUM
fis-5061	331	114	0.000007	0.000007	NUM
fis-5061	332	1	1.2524	1.2524	NUM
fis-5061	332	2	0.9841	0.9841	NUM
fis-5061	332	3	gaussian	gaussian	NOUN
fis-5061	332	4	(	(	PUNCT
fis-5061	332	5	gaussmf	gaussmf	NOUN
fis-5061	332	6	)	)	PUNCT
fis-5061	332	7	0.000479	0.000479	NUM
fis-5061	332	8	45.7215	45.7215	NUM
fis-5061	332	9	0.9322	0.9322	NUM
fis-5061	332	10	0.000002	0.000002	NUM
fis-5061	332	11	0.1744	0.1744	NUM
fis-5061	332	12	0.7324	0.7324	NUM
fis-5061	332	13	0.000022	0.000022	NUM
fis-5061	332	14	1.3734	1.3734	NUM
fis-5061	332	15	0.9905	0.9905	NUM
fis-5061	332	16	generalized	generalized	ADJ
fis-5061	332	17	bell	bell	NOUN
fis-5061	332	18	(	(	PUNCT
fis-5061	332	19	gbellmf	gbellmf	PROPN
fis-5061	332	20	)	)	PUNCT
fis-5061	332	21	0.001051	0.001051	NUM
fis-5061	332	22	94.787	94.787	NUM
fis-5061	332	23	0.7667	0.7667	NUM
fis-5061	332	24	0.000004	0.000004	NUM
fis-5061	332	25	0.2667	0.2667	NUM
fis-5061	332	26	0.4971	0.4971	NUM
fis-5061	332	27	0.000019	0.000019	NUM
fis-5061	332	28	1.0856	1.0856	NUM
fis-5061	332	29	0.9796	0.9796	NUM
fis-5061	332	30	table	table	NOUN
fis-5061	332	31	5	5	NUM
fis-5061	332	32	:	:	PUNCT
fis-5061	332	33	testing	test	VERB
fis-5061	332	34	error	error	NOUN
fis-5061	332	35	for	for	ADP
fis-5061	332	36	training	training	NOUN
fis-5061	332	37	and	and	CCONJ
fis-5061	332	38	testing	testing	NOUN
fis-5061	332	39	data	datum	NOUN
fis-5061	332	40	for	for	ADP
fis-5061	332	41	responses	response	NOUN
fis-5061	332	42	with	with	ADP
fis-5061	332	43	different	different	ADJ
fis-5061	332	44	mfs	mfs	NOUN
fis-5061	332	45	figure	figure	NOUN
fis-5061	332	46	15	15	NUM
fis-5061	332	47	:	:	PUNCT
fis-5061	332	48	surface	surface	NOUN
fis-5061	332	49	plots	plot	NOUN
fis-5061	332	50	for	for	ADP
fis-5061	332	51	cutting	cut	VERB
fis-5061	332	52	force	force	NOUN
fis-5061	332	53	(	(	PUNCT
fis-5061	332	54	fc	fc	INTJ
fis-5061	332	55	)	)	PUNCT
fis-5061	332	56	surface	surface	NOUN
fis-5061	332	57	graphs	graph	NOUN
fis-5061	332	58	were	be	AUX
fis-5061	332	59	plotted	plot	VERB
fis-5061	332	60	for	for	ADP
fis-5061	332	61	cutting	cut	VERB
fis-5061	332	62	force	force	NOUN
fis-5061	332	63	,	,	PUNCT
fis-5061	332	64	surface	surface	NOUN
fis-5061	332	65	roughness	roughness	NOUN
fis-5061	332	66	,	,	PUNCT
fis-5061	332	67	and	and	CCONJ
fis-5061	332	68	tool	tool	NOUN
fis-5061	332	69	life	life	NOUN
fis-5061	332	70	,	,	PUNCT
fis-5061	332	71	respectively	respectively	ADV
fis-5061	332	72	,	,	PUNCT
fis-5061	332	73	as	as	SCONJ
fis-5061	332	74	illustrated	illustrate	VERB
fis-5061	332	75	in	in	ADP
fis-5061	332	76	figs	fig	NOUN
fis-5061	332	77	.	.	PUNCT
fis-5061	333	1	15–17	15–17	NUM
fis-5061	333	2	,	,	PUNCT
fis-5061	333	3	to	to	PART
fis-5061	333	4	better	well	ADV
fis-5061	333	5	comprehend	comprehend	VERB
fis-5061	333	6	the	the	DET
fis-5061	333	7	simultaneous	simultaneous	ADJ
fis-5061	333	8	influence	influence	NOUN
fis-5061	333	9	of	of	ADP
fis-5061	333	10	input	input	NOUN
fis-5061	333	11	parameters	parameter	NOUN
fis-5061	333	12	over	over	ADP
fis-5061	333	13	output	output	NOUN
fis-5061	333	14	parameters	parameter	NOUN
fis-5061	333	15	.	.	PUNCT
fis-5061	334	1	graphs	graph	NOUN
fis-5061	334	2	offer	offer	VERB
fis-5061	334	3	a	a	DET
fis-5061	334	4	visual	visual	ADJ
fis-5061	334	5	representation	representation	NOUN
fis-5061	334	6	of	of	ADP
fis-5061	334	7	input	input	NOUN
fis-5061	334	8	parameters	parameter	NOUN
fis-5061	334	9	'	'	PART
fis-5061	334	10	impact	impact	NOUN
fis-5061	334	11	on	on	ADP
fis-5061	334	12	output	output	NOUN
fis-5061	334	13	parameters	parameter	NOUN
fis-5061	334	14	,	,	PUNCT
fis-5061	334	15	aiding	aid	VERB
fis-5061	334	16	in	in	ADP
fis-5061	334	17	a	a	DET
fis-5061	334	18	comprehensive	comprehensive	ADJ
fis-5061	334	19	analysis	analysis	NOUN
fis-5061	334	20	of	of	ADP
fis-5061	334	21	process	process	NOUN
fis-5061	334	22	performance	performance	NOUN
fis-5061	334	23	,	,	PUNCT
fis-5061	334	24	thereby	thereby	ADV
fis-5061	334	25	enhancing	enhance	VERB
fis-5061	334	26	efficiency	efficiency	NOUN
fis-5061	334	27	and	and	CCONJ
fis-5061	334	28	quality	quality	NOUN
fis-5061	334	29	.	.	PUNCT
fis-5061	335	1	fig	fig	NOUN
fis-5061	335	2	.	.	PUNCT
fis-5061	336	1	15	15	NUM
fis-5061	336	2	shows	show	VERB
fis-5061	336	3	surface	surface	NOUN
fis-5061	336	4	graphs	graph	NOUN
fis-5061	336	5	of	of	ADP
fis-5061	336	6	cutting	cut	VERB
fis-5061	336	7	force	force	NOUN
fis-5061	336	8	that	that	PRON
fis-5061	336	9	vary	vary	VERB
fis-5061	336	10	with	with	ADP
fis-5061	336	11	two	two	NUM
fis-5061	336	12	parameters	parameter	NOUN
fis-5061	336	13	and	and	CCONJ
fis-5061	336	14	a	a	DET
fis-5061	336	15	constant	constant	ADJ
fis-5061	336	16	third	third	ADJ
fis-5061	336	17	parameter	parameter	NOUN
fis-5061	336	18	at	at	ADP
fis-5061	336	19	the	the	DET
fis-5061	336	20	center	center	ADJ
fis-5061	336	21	level	level	NOUN
fis-5061	336	22	.	.	PUNCT
fis-5061	337	1	the	the	DET
fis-5061	337	2	center	center	ADJ
fis-5061	337	3	level	level	NOUN
fis-5061	337	4	of	of	ADP
fis-5061	337	5	cutting	cut	VERB
fis-5061	337	6	parameters	parameter	NOUN
fis-5061	337	7	,	,	PUNCT
fis-5061	337	8	namely	namely	ADV
fis-5061	337	9	cutting	cut	VERB
fis-5061	337	10	speed	speed	NOUN
fis-5061	337	11	,	,	PUNCT
fis-5061	337	12	feed	feed	NOUN
fis-5061	337	13	,	,	PUNCT
fis-5061	337	14	and	and	CCONJ
fis-5061	337	15	depth	depth	NOUN
fis-5061	337	16	of	of	ADP
fis-5061	337	17	cut	cut	NOUN
fis-5061	337	18	,	,	PUNCT
fis-5061	337	19	is	be	AUX
fis-5061	337	20	65	65	NUM
fis-5061	337	21	m	m	PROPN
fis-5061	337	22	/	/	SYM
fis-5061	337	23	min	min	PROPN
fis-5061	337	24	,	,	PUNCT
fis-5061	337	25	0.2	0.2	NUM
fis-5061	337	26	mm	mm	NOUN
fis-5061	337	27	/	/	SYM
fis-5061	337	28	rev	rev	PROPN
fis-5061	337	29	,	,	PUNCT
fis-5061	337	30	and	and	CCONJ
fis-5061	337	31	0.5	0.5	NUM
fis-5061	337	32	mm	mm	NOUN
fis-5061	337	33	,	,	PUNCT
fis-5061	337	34	respectively	respectively	ADV
fis-5061	337	35	.	.	PUNCT
fis-5061	338	1	the	the	DET
fis-5061	338	2	depth	depth	NOUN
fis-5061	338	3	of	of	ADP
fis-5061	338	4	cut	cut	NOUN
fis-5061	338	5	and	and	CCONJ
fis-5061	338	6	feed	feed	NOUN
fis-5061	338	7	are	be	AUX
fis-5061	338	8	found	find	VERB
fis-5061	338	9	to	to	PART
fis-5061	338	10	have	have	VERB
fis-5061	338	11	a	a	DET
fis-5061	338	12	significant	significant	ADJ
fis-5061	338	13	impact	impact	NOUN
fis-5061	338	14	on	on	ADP
fis-5061	338	15	cutting	cut	VERB
fis-5061	338	16	force	force	NOUN
fis-5061	338	17	.	.	PUNCT
fis-5061	339	1	the	the	DET
fis-5061	339	2	cutting	cut	VERB
fis-5061	339	3	force	force	NOUN
fis-5061	339	4	found	find	VERB
fis-5061	339	5	to	to	PART
fis-5061	339	6	be	be	AUX
fis-5061	339	7	higher	high	ADJ
fis-5061	339	8	,	,	PUNCT
fis-5061	339	9	reaching	reach	VERB
fis-5061	339	10	up	up	ADP
fis-5061	339	11	to	to	PART
fis-5061	339	12	800	800	NUM
fis-5061	339	13	n	n	NOUN
fis-5061	339	14	at	at	ADP
fis-5061	339	15	higher	high	ADJ
fis-5061	339	16	values	value	NOUN
fis-5061	339	17	of	of	ADP
fis-5061	339	18	feed	feed	NOUN
fis-5061	339	19	and	and	CCONJ
fis-5061	339	20	depth	depth	NOUN
fis-5061	339	21	of	of	ADP
fis-5061	339	22	cut	cut	NOUN
fis-5061	339	23	of	of	ADP
fis-5061	339	24	0.3	0.3	NUM
fis-5061	339	25	mm	mm	NOUN
fis-5061	339	26	/	/	SYM
fis-5061	339	27	rev	rev	PROPN
fis-5061	339	28	and	and	CCONJ
fis-5061	339	29	0.8	0.8	NUM
fis-5061	339	30	mm	mm	NOUN
fis-5061	339	31	.	.	PUNCT
fis-5061	340	1	at	at	ADP
fis-5061	340	2	a	a	DET
fis-5061	340	3	lower	low	ADJ
fis-5061	340	4	cutting	cutting	NOUN
fis-5061	340	5	speed	speed	NOUN
fis-5061	340	6	of	of	ADP
fis-5061	340	7	30	30	NUM
fis-5061	340	8	m	m	NOUN
fis-5061	340	9	/	/	SYM
fis-5061	340	10	min	min	PROPN
fis-5061	340	11	and	and	CCONJ
fis-5061	340	12	a	a	DET
fis-5061	340	13	higher	high	ADJ
fis-5061	340	14	depth	depth	NOUN
fis-5061	340	15	of	of	ADP
fis-5061	340	16	cut	cut	NOUN
fis-5061	340	17	of	of	ADP
fis-5061	340	18	0.8	0.8	NUM
fis-5061	340	19	mm	mm	NOUN
fis-5061	340	20	,	,	PUNCT
fis-5061	340	21	the	the	DET
fis-5061	340	22	cutting	cut	VERB
fis-5061	340	23	force	force	NOUN
fis-5061	340	24	can	can	AUX
fis-5061	340	25	be	be	AUX
fis-5061	340	26	seen	see	VERB
fis-5061	340	27	reaching	reach	VERB
fis-5061	340	28	up	up	ADP
fis-5061	340	29	to	to	PART
fis-5061	340	30	600	600	NUM
fis-5061	340	31	n.	n.	NOUN
fis-5061	340	32	higher	high	ADJ
fis-5061	340	33	cutting	cut	VERB
fis-5061	340	34	speeds	speed	NOUN
fis-5061	340	35	and	and	CCONJ
fis-5061	340	36	lower	low	ADJ
fis-5061	340	37	feed	feed	NOUN
fis-5061	340	38	and	and	CCONJ
fis-5061	340	39	depth	depth	NOUN
fis-5061	340	40	of	of	ADP
fis-5061	340	41	cut	cut	ADJ
fis-5061	340	42	values	value	NOUN
fis-5061	340	43	can	can	AUX
fis-5061	340	44	be	be	AUX
fis-5061	340	45	used	use	VERB
fis-5061	340	46	to	to	PART
fis-5061	340	47	achieve	achieve	VERB
fis-5061	340	48	a	a	DET
fis-5061	340	49	lower	low	ADJ
fis-5061	340	50	cutting	cut	VERB
fis-5061	340	51	force	force	NOUN
fis-5061	340	52	.	.	PUNCT
fis-5061	341	1	figs	fig	NOUN
fis-5061	341	2	.	.	PUNCT
fis-5061	342	1	16	16	NUM
fis-5061	342	2	-	-	SYM
fis-5061	342	3	17	17	NUM
fis-5061	342	4	show	show	NOUN
fis-5061	342	5	surface	surface	NOUN
fis-5061	342	6	graphs	graph	NOUN
fis-5061	342	7	of	of	ADP
fis-5061	342	8	surface	surface	NOUN
fis-5061	342	9	roughness	roughness	NOUN
fis-5061	342	10	and	and	CCONJ
fis-5061	342	11	tool	tool	NOUN
fis-5061	342	12	life	life	NOUN
fis-5061	342	13	that	that	PRON
fis-5061	342	14	vary	vary	VERB
fis-5061	342	15	with	with	ADP
fis-5061	342	16	two	two	NUM
fis-5061	342	17	parameters	parameter	NOUN
fis-5061	342	18	and	and	CCONJ
fis-5061	342	19	a	a	DET
fis-5061	342	20	constant	constant	ADJ
fis-5061	342	21	third	third	ADJ
fis-5061	342	22	parameter	parameter	NOUN
fis-5061	342	23	at	at	ADP
fis-5061	342	24	the	the	DET
fis-5061	342	25	center	center	ADJ
fis-5061	342	26	level	level	NOUN
fis-5061	342	27	.	.	PUNCT
fis-5061	343	1	as	as	SCONJ
fis-5061	343	2	stated	state	VERB
fis-5061	343	3	above	above	ADV
fis-5061	343	4	,	,	PUNCT
fis-5061	343	5	the	the	DET
fis-5061	343	6	center	center	ADJ
fis-5061	343	7	level	level	NOUN
fis-5061	343	8	of	of	ADP
fis-5061	343	9	cutting	cut	VERB
fis-5061	343	10	parameters	parameter	NOUN
fis-5061	343	11	,	,	PUNCT
fis-5061	343	12	namely	namely	ADV
fis-5061	343	13	cutting	cut	VERB
fis-5061	343	14	speed	speed	NOUN
fis-5061	343	15	,	,	PUNCT
fis-5061	343	16	feed	feed	NOUN
fis-5061	343	17	,	,	PUNCT
fis-5061	343	18	and	and	CCONJ
fis-5061	343	19	depth	depth	NOUN
fis-5061	343	20	of	of	ADP
fis-5061	343	21	cut	cut	NOUN
fis-5061	343	22	,	,	PUNCT
fis-5061	343	23	is	be	AUX
fis-5061	343	24	65	65	NUM
fis-5061	343	25	m	m	PROPN
fis-5061	343	26	/	/	SYM
fis-5061	343	27	min	min	PROPN
fis-5061	343	28	,	,	PUNCT
fis-5061	343	29	0.2	0.2	NUM
fis-5061	343	30	mm	mm	NOUN
fis-5061	343	31	/	/	SYM
fis-5061	343	32	rev	rev	PROPN
fis-5061	343	33	,	,	PUNCT
fis-5061	343	34	and	and	CCONJ
fis-5061	343	35	0.5	0.5	NUM
fis-5061	343	36	mm	mm	NOUN
fis-5061	343	37	,	,	PUNCT
fis-5061	343	38	respectively	respectively	ADV
fis-5061	343	39	.	.	PUNCT
fis-5061	344	1	the	the	DET
fis-5061	344	2	feed	feed	NOUN
fis-5061	344	3	and	and	CCONJ
fis-5061	344	4	depth	depth	NOUN
fis-5061	344	5	of	of	ADP
fis-5061	344	6	cut	cut	NOUN
fis-5061	344	7	are	be	AUX
fis-5061	344	8	found	find	VERB
fis-5061	344	9	to	to	PART
fis-5061	344	10	have	have	VERB
fis-5061	344	11	a	a	DET
fis-5061	344	12	significant	significant	ADJ
fis-5061	344	13	impact	impact	NOUN
fis-5061	344	14	on	on	ADP
fis-5061	344	15	surface	surface	NOUN
fis-5061	344	16	roughness	roughness	NOUN
fis-5061	344	17	.	.	PUNCT
fis-5061	345	1	and	and	CCONJ
fis-5061	345	2	cutting	cut	VERB
fis-5061	345	3	speed	speed	NOUN
fis-5061	345	4	,	,	PUNCT
fis-5061	345	5	followed	follow	VERB
fis-5061	345	6	by	by	ADP
fis-5061	345	7	feed	feed	NOUN
fis-5061	345	8	,	,	PUNCT
fis-5061	345	9	is	be	AUX
fis-5061	345	10	found	find	VERB
fis-5061	345	11	to	to	PART
fis-5061	345	12	have	have	VERB
fis-5061	345	13	a	a	DET
fis-5061	345	14	significant	significant	ADJ
fis-5061	345	15	impact	impact	NOUN
fis-5061	345	16	on	on	ADP
fis-5061	345	17	tool	tool	NOUN
fis-5061	345	18	life	life	NOUN
fis-5061	345	19	.	.	PUNCT
fis-5061	346	1	the	the	DET
fis-5061	346	2	surface	surface	NOUN
fis-5061	346	3	roughness	roughness	NOUN
fis-5061	346	4	was	be	AUX
fis-5061	346	5	found	find	VERB
fis-5061	346	6	to	to	PART
fis-5061	346	7	be	be	AUX
fis-5061	346	8	higher	high	ADJ
fis-5061	346	9	,	,	PUNCT
fis-5061	346	10	reaching	reach	VERB
fis-5061	346	11	beyond	beyond	ADP
fis-5061	346	12	2	2	NUM
fis-5061	346	13	µm	µm	NOUN
fis-5061	346	14	at	at	ADP
fis-5061	346	15	higher	high	ADJ
fis-5061	346	16	values	value	NOUN
fis-5061	346	17	of	of	ADP
fis-5061	346	18	feed	feed	NOUN
fis-5061	346	19	and	and	CCONJ
fis-5061	346	20	depth	depth	NOUN
fis-5061	346	21	of	of	ADP
fis-5061	346	22	cut	cut	NOUN
fis-5061	346	23	of	of	ADP
fis-5061	346	24	0.3	0.3	NUM
fis-5061	346	25	mm	mm	NOUN
fis-5061	346	26	/	/	SYM
fis-5061	346	27	rev	rev	PROPN
fis-5061	346	28	and	and	CCONJ
fis-5061	346	29	0.8	0.8	NUM
fis-5061	346	30	mm	mm	NOUN
fis-5061	346	31	.	.	PUNCT
fis-5061	347	1	cutting	cut	VERB
fis-5061	347	2	speed	speed	NOUN
fis-5061	347	3	can	can	AUX
fis-5061	347	4	be	be	AUX
fis-5061	347	5	seen	see	VERB
fis-5061	347	6	as	as	ADP
fis-5061	347	7	having	have	VERB
fis-5061	347	8	a	a	DET
fis-5061	347	9	lower	low	ADJ
fis-5061	347	10	effect	effect	NOUN
fis-5061	347	11	on	on	ADP
fis-5061	347	12	the	the	DET
fis-5061	347	13	surface	surface	NOUN
fis-5061	347	14	roughness	roughness	NOUN
fis-5061	347	15	in	in	ADP
fis-5061	347	16	comparison	comparison	NOUN
fis-5061	347	17	to	to	PART
fis-5061	347	18	feed	feed	VERB
fis-5061	347	19	and	and	CCONJ
fis-5061	347	20	depth	depth	NOUN
fis-5061	347	21	of	of	ADP
fis-5061	347	22	cut	cut	NOUN
fis-5061	347	23	.	.	PUNCT
fis-5061	348	1	on	on	ADP
fis-5061	348	2	the	the	DET
fis-5061	348	3	other	other	ADJ
fis-5061	348	4	hand	hand	NOUN
fis-5061	348	5	,	,	PUNCT
fis-5061	348	6	from	from	ADP
fis-5061	348	7	fig	fig	NOUN
fis-5061	348	8	.	.	PUNCT
fis-5061	348	9	17	17	NUM
fis-5061	348	10	,	,	PUNCT
fis-5061	348	11	cutting	cut	VERB
fis-5061	348	12	speed	speed	NOUN
fis-5061	348	13	can	can	AUX
fis-5061	348	14	be	be	AUX
fis-5061	348	15	seen	see	VERB
fis-5061	348	16	as	as	ADP
fis-5061	348	17	having	have	VERB
fis-5061	348	18	a	a	DET
fis-5061	348	19	prominent	prominent	ADJ
fis-5061	348	20	effect	effect	NOUN
fis-5061	348	21	on	on	ADP
fis-5061	348	22	the	the	DET
fis-5061	348	23	tool	tool	NOUN
fis-5061	348	24	life	life	NOUN
fis-5061	348	25	in	in	ADP
fis-5061	348	26	comparison	comparison	NOUN
fis-5061	348	27	to	to	ADP
fis-5061	348	28	p.	p.	PROPN
fis-5061	348	29	kulkarni	kulkarni	PROPN
fis-5061	348	30	et	et	PROPN
fis-5061	348	31	alii	alii	PROPN
fis-5061	348	32	,	,	PUNCT
fis-5061	348	33	frattura	frattura	PROPN
fis-5061	348	34	ed	ed	PROPN
fis-5061	348	35	integrità	integrità	PROPN
fis-5061	348	36	strutturale	strutturale	PROPN
fis-5061	348	37	,	,	PUNCT
fis-5061	348	38	70	70	NUM
fis-5061	348	39	(	(	PUNCT
fis-5061	348	40	2024	2024	NUM
fis-5061	348	41	)	)	PUNCT
fis-5061	348	42	71	71	NUM
fis-5061	348	43	-	-	SYM
fis-5061	348	44	90	90	NUM
fis-5061	348	45	;	;	PUNCT
fis-5061	348	46	doi	doi	NOUN
fis-5061	348	47	:	:	PUNCT
fis-5061	348	48	10.3221	10.3221	NUM
fis-5061	348	49	/	/	SYM
fis-5061	348	50	igf	igf	PROPN
fis-5061	348	51	-	-	PROPN
fis-5061	348	52	esis.70.04	esis.70.04	PROPN
fis-5061	348	53	86	86	NUM
fis-5061	348	54	feed	feed	NOUN
fis-5061	348	55	and	and	CCONJ
fis-5061	348	56	depth	depth	NOUN
fis-5061	348	57	of	of	ADP
fis-5061	348	58	cut	cut	NOUN
fis-5061	348	59	.	.	PUNCT
fis-5061	349	1	the	the	DET
fis-5061	349	2	better	well	ADJ
fis-5061	349	3	tool	tool	NOUN
fis-5061	349	4	life	life	NOUN
fis-5061	349	5	in	in	ADP
fis-5061	349	6	the	the	DET
fis-5061	349	7	range	range	NOUN
fis-5061	349	8	of	of	ADP
fis-5061	349	9	8	8	NUM
fis-5061	349	10	-	-	SYM
fis-5061	349	11	10	10	NUM
fis-5061	349	12	min	min	NOUN
fis-5061	349	13	was	be	AUX
fis-5061	349	14	found	find	VERB
fis-5061	349	15	to	to	PART
fis-5061	349	16	be	be	AUX
fis-5061	349	17	obtained	obtain	VERB
fis-5061	349	18	using	use	VERB
fis-5061	349	19	a	a	DET
fis-5061	349	20	lower	low	ADJ
fis-5061	349	21	cutting	cutting	NOUN
fis-5061	349	22	speed	speed	NOUN
fis-5061	349	23	of	of	ADP
fis-5061	349	24	30	30	NUM
fis-5061	349	25	m	m	NOUN
fis-5061	349	26	/	/	SYM
fis-5061	349	27	min	min	PROPN
fis-5061	349	28	,	,	PUNCT
fis-5061	349	29	and	and	CCONJ
fis-5061	349	30	a	a	DET
fis-5061	349	31	feed	feed	NOUN
fis-5061	349	32	in	in	ADP
fis-5061	349	33	the	the	DET
fis-5061	349	34	range	range	NOUN
fis-5061	349	35	of	of	ADP
fis-5061	349	36	0.2	0.2	NUM
fis-5061	349	37	-	-	PUNCT
fis-5061	349	38	0.25	0.25	NUM
fis-5061	349	39	mm	mm	NOUN
fis-5061	349	40	/	/	SYM
fis-5061	349	41	rev	rev	PROPN
fis-5061	349	42	,	,	PUNCT
fis-5061	349	43	and	and	CCONJ
fis-5061	349	44	a	a	DET
fis-5061	349	45	lower	low	ADJ
fis-5061	349	46	depth	depth	NOUN
fis-5061	349	47	of	of	ADP
fis-5061	349	48	cut	cut	NOUN
fis-5061	349	49	.	.	PUNCT
fis-5061	350	1	results	result	NOUN
fis-5061	350	2	suggested	suggest	VERB
fis-5061	350	3	that	that	SCONJ
fis-5061	350	4	increasing	increase	VERB
fis-5061	350	5	cutting	cut	VERB
fis-5061	350	6	speed	speed	NOUN
fis-5061	350	7	and	and	CCONJ
fis-5061	350	8	lowering	lower	VERB
fis-5061	350	9	feed	feed	NOUN
fis-5061	350	10	and	and	CCONJ
fis-5061	350	11	depth	depth	NOUN
fis-5061	350	12	of	of	ADP
fis-5061	350	13	cut	cut	NOUN
fis-5061	350	14	values	value	NOUN
fis-5061	350	15	resulted	result	VERB
fis-5061	350	16	in	in	ADP
fis-5061	350	17	decreased	decrease	VERB
fis-5061	350	18	cutting	cut	VERB
fis-5061	350	19	force	force	NOUN
fis-5061	350	20	and	and	CCONJ
fis-5061	350	21	surface	surface	NOUN
fis-5061	350	22	roughness	roughness	NOUN
fis-5061	350	23	.	.	PUNCT
fis-5061	351	1	the	the	DET
fis-5061	351	2	selection	selection	NOUN
fis-5061	351	3	of	of	ADP
fis-5061	351	4	feed	feed	NOUN
fis-5061	351	5	and	and	CCONJ
fis-5061	351	6	depth	depth	NOUN
fis-5061	351	7	of	of	ADP
fis-5061	351	8	cut	cut	NOUN
fis-5061	351	9	turned	turn	VERB
fis-5061	351	10	out	out	ADP
fis-5061	351	11	to	to	PART
fis-5061	351	12	be	be	AUX
fis-5061	351	13	more	more	ADV
fis-5061	351	14	critical	critical	ADJ
fis-5061	351	15	in	in	ADP
fis-5061	351	16	achieving	achieve	VERB
fis-5061	351	17	a	a	DET
fis-5061	351	18	lower	low	ADJ
fis-5061	351	19	cutting	cutting	NOUN
fis-5061	351	20	force	force	NOUN
fis-5061	351	21	.	.	PUNCT
fis-5061	352	1	feed	feed	NOUN
fis-5061	352	2	significantly	significantly	ADV
fis-5061	352	3	impacts	impact	VERB
fis-5061	352	4	surface	surface	NOUN
fis-5061	352	5	roughness	roughness	NOUN
fis-5061	352	6	.	.	PUNCT
fis-5061	353	1	the	the	DET
fis-5061	353	2	selection	selection	NOUN
fis-5061	353	3	of	of	ADP
fis-5061	353	4	lower	low	ADJ
fis-5061	353	5	cutting	cut	VERB
fis-5061	353	6	parameters	parameter	NOUN
fis-5061	353	7	led	lead	VERB
fis-5061	353	8	to	to	ADP
fis-5061	353	9	better	well	ADJ
fis-5061	353	10	tool	tool	NOUN
fis-5061	353	11	life	life	NOUN
fis-5061	353	12	estimates	estimate	NOUN
fis-5061	353	13	.	.	PUNCT
fis-5061	354	1	figure	figure	VERB
fis-5061	354	2	16	16	NUM
fis-5061	354	3	:	:	PUNCT
fis-5061	354	4	surface	surface	NOUN
fis-5061	354	5	plots	plot	NOUN
fis-5061	354	6	for	for	ADP
fis-5061	354	7	surface	surface	NOUN
fis-5061	354	8	roughness	roughness	NOUN
fis-5061	354	9	(	(	PUNCT
fis-5061	354	10	ra	ra	NOUN
fis-5061	354	11	)	)	PUNCT
fis-5061	354	12	.	.	PUNCT
fis-5061	355	1	figure	figure	VERB
fis-5061	355	2	17	17	NUM
fis-5061	355	3	:	:	PUNCT
fis-5061	355	4	surface	surface	NOUN
fis-5061	355	5	plots	plot	NOUN
fis-5061	355	6	for	for	ADP
fis-5061	355	7	tool	tool	NOUN
fis-5061	355	8	life	life	NOUN
fis-5061	355	9	(	(	PUNCT
fis-5061	355	10	tl	tl	PROPN
fis-5061	355	11	)	)	PUNCT
fis-5061	356	1	p.	p.	NOUN
fis-5061	356	2	kulkarni	kulkarni	PROPN
fis-5061	356	3	et	et	PROPN
fis-5061	356	4	alii	alii	PROPN
fis-5061	356	5	,	,	PUNCT
fis-5061	356	6	frattura	frattura	PROPN
fis-5061	356	7	ed	ed	PROPN
fis-5061	356	8	integrità	integrità	PROPN
fis-5061	356	9	strutturale	strutturale	PROPN
fis-5061	356	10	,	,	PUNCT
fis-5061	356	11	70	70	NUM
fis-5061	356	12	(	(	PUNCT
fis-5061	356	13	2024	2024	NUM
fis-5061	356	14	)	)	PUNCT
fis-5061	356	15	71	71	NUM
fis-5061	356	16	-	-	SYM
fis-5061	356	17	90	90	NUM
fis-5061	356	18	;	;	PUNCT
fis-5061	356	19	doi	doi	NOUN
fis-5061	356	20	:	:	PUNCT
fis-5061	356	21	10.3221	10.3221	NUM
fis-5061	356	22	/	/	SYM
fis-5061	356	23	igf	igf	PROPN
fis-5061	356	24	-	-	PROPN
fis-5061	356	25	esis.70.04	esis.70.04	PROPN
fis-5061	356	26	87	87	NUM
fis-5061	356	27	validatory	validatory	ADJ
fis-5061	356	28	experiments	experiment	NOUN
fis-5061	356	29	turning	turn	VERB
fis-5061	356	30	experiments	experiment	NOUN
fis-5061	356	31	are	be	AUX
fis-5061	356	32	conducted	conduct	VERB
fis-5061	356	33	to	to	PART
fis-5061	356	34	validate	validate	VERB
fis-5061	356	35	the	the	DET
fis-5061	356	36	ann	ann	PROPN
fis-5061	356	37	and	and	CCONJ
fis-5061	356	38	anfis	anfis	PROPN
fis-5061	356	39	predicted	predict	VERB
fis-5061	356	40	responses	response	NOUN
fis-5061	356	41	at	at	ADP
fis-5061	356	42	process	process	NOUN
fis-5061	356	43	parameters	parameter	NOUN
fis-5061	356	44	than	than	SCONJ
fis-5061	356	45	those	those	PRON
fis-5061	356	46	were	be	AUX
fis-5061	356	47	used	use	VERB
fis-5061	356	48	while	while	SCONJ
fis-5061	356	49	training	train	VERB
fis-5061	356	50	the	the	DET
fis-5061	356	51	ann	ann	PROPN
fis-5061	356	52	and	and	CCONJ
fis-5061	356	53	anfis	anfis	PROPN
fis-5061	356	54	models	model	NOUN
fis-5061	356	55	.	.	PUNCT
fis-5061	357	1	tab	tab	NOUN
fis-5061	357	2	.	.	PUNCT
fis-5061	358	1	6	6	NUM
fis-5061	358	2	compares	compare	VERB
fis-5061	358	3	the	the	DET
fis-5061	358	4	experimental	experimental	ADJ
fis-5061	358	5	findings	finding	NOUN
fis-5061	358	6	with	with	ADP
fis-5061	358	7	the	the	DET
fis-5061	358	8	anticipated	anticipate	VERB
fis-5061	358	9	ann	ann	PROPN
fis-5061	358	10	and	and	CCONJ
fis-5061	358	11	anfis	anfi	VERB
fis-5061	358	12	predicted	predict	VERB
fis-5061	358	13	responses	response	NOUN
fis-5061	358	14	.	.	PUNCT
fis-5061	359	1	this	this	DET
fis-5061	359	2	additional	additional	ADJ
fis-5061	359	3	experiment	experiment	NOUN
fis-5061	359	4	provided	provide	VERB
fis-5061	359	5	a	a	DET
fis-5061	359	6	robust	robust	ADJ
fis-5061	359	7	assessment	assessment	NOUN
fis-5061	359	8	of	of	ADP
fis-5061	359	9	the	the	DET
fis-5061	359	10	models	model	NOUN
fis-5061	359	11	'	'	PART
fis-5061	359	12	performance	performance	NOUN
fis-5061	359	13	across	across	ADP
fis-5061	359	14	a	a	DET
fis-5061	359	15	wider	wide	ADJ
fis-5061	359	16	range	range	NOUN
fis-5061	359	17	of	of	ADP
fis-5061	359	18	input	input	NOUN
fis-5061	359	19	parameters	parameter	NOUN
fis-5061	359	20	.	.	PUNCT
fis-5061	360	1	the	the	DET
fis-5061	360	2	experimental	experimental	ADJ
fis-5061	360	3	values	value	NOUN
fis-5061	360	4	shown	show	VERB
fis-5061	360	5	for	for	ADP
fis-5061	360	6	cutting	cut	VERB
fis-5061	360	7	force	force	NOUN
fis-5061	360	8	,	,	PUNCT
fis-5061	360	9	surface	surface	NOUN
fis-5061	360	10	roughness	roughness	NOUN
fis-5061	360	11	,	,	PUNCT
fis-5061	360	12	and	and	CCONJ
fis-5061	360	13	tool	tool	NOUN
fis-5061	360	14	life	life	NOUN
fis-5061	360	15	are	be	AUX
fis-5061	360	16	averages	average	NOUN
fis-5061	360	17	of	of	ADP
fis-5061	360	18	measurements	measurement	NOUN
fis-5061	360	19	taken	take	VERB
fis-5061	360	20	at	at	ADP
fis-5061	360	21	three	three	NUM
fis-5061	360	22	repeated	repeat	VERB
fis-5061	360	23	trials	trial	NOUN
fis-5061	360	24	for	for	ADP
fis-5061	360	25	a	a	DET
fis-5061	360	26	tool	tool	NOUN
fis-5061	360	27	,	,	PUNCT
fis-5061	360	28	aiming	aim	VERB
fis-5061	360	29	to	to	PART
fis-5061	360	30	minimize	minimize	VERB
fis-5061	360	31	outliers	outlier	NOUN
fis-5061	360	32	before	before	ADP
fis-5061	360	33	analyzing	analyze	VERB
fis-5061	360	34	the	the	DET
fis-5061	360	35	data	datum	NOUN
fis-5061	360	36	.	.	PUNCT
fis-5061	361	1	the	the	DET
fis-5061	361	2	percentage	percentage	NOUN
fis-5061	361	3	error	error	NOUN
fis-5061	361	4	in	in	ADP
fis-5061	361	5	predicted	predict	VERB
fis-5061	361	6	responses	response	NOUN
fis-5061	361	7	by	by	ADP
fis-5061	361	8	ann	ann	PROPN
fis-5061	361	9	and	and	CCONJ
fis-5061	361	10	anfis	anfi	VERB
fis-5061	361	11	from	from	ADP
fis-5061	361	12	validatory	validatory	ADJ
fis-5061	361	13	experimental	experimental	ADJ
fis-5061	361	14	findings	finding	NOUN
fis-5061	361	15	is	be	AUX
fis-5061	361	16	as	as	SCONJ
fis-5061	361	17	shown	show	VERB
fis-5061	361	18	in	in	ADP
fis-5061	361	19	tab	tab	NOUN
fis-5061	361	20	.	.	PUNCT
fis-5061	362	1	7	7	X
fis-5061	362	2	.	.	X
fis-5061	362	3	with	with	ADP
fis-5061	362	4	an	an	DET
fis-5061	362	5	average	average	ADJ
fis-5061	362	6	error	error	NOUN
fis-5061	362	7	of	of	ADP
fis-5061	362	8	less	less	ADJ
fis-5061	362	9	than	than	ADP
fis-5061	362	10	15	15	NUM
fis-5061	362	11	%	%	NOUN
fis-5061	362	12	,	,	PUNCT
fis-5061	362	13	there	there	PRON
fis-5061	362	14	is	be	VERB
fis-5061	362	15	a	a	DET
fis-5061	362	16	good	good	ADJ
fis-5061	362	17	agreement	agreement	NOUN
fis-5061	362	18	between	between	ADP
fis-5061	362	19	the	the	DET
fis-5061	362	20	experimental	experimental	ADJ
fis-5061	362	21	findings	finding	NOUN
fis-5061	362	22	and	and	CCONJ
fis-5061	362	23	the	the	DET
fis-5061	362	24	ann	ann	PROPN
fis-5061	362	25	and	and	CCONJ
fis-5061	362	26	anfis	anfis	PROPN
fis-5061	362	27	predicted	predict	VERB
fis-5061	362	28	results	result	NOUN
fis-5061	362	29	.	.	PUNCT
fis-5061	363	1	expt	expt	NOUN
fis-5061	363	2	.	.	PUNCT
fis-5061	364	1	run	run	VERB
fis-5061	364	2	cutting	cut	VERB
fis-5061	364	3	speed	speed	NOUN
fis-5061	364	4	(	(	PUNCT
fis-5061	364	5	v	v	NOUN
fis-5061	364	6	)	)	PUNCT
fis-5061	364	7	(	(	PUNCT
fis-5061	364	8	m	m	NOUN
fis-5061	364	9	/	/	SYM
fis-5061	364	10	min	min	NOUN
fis-5061	364	11	)	)	PUNCT
fis-5061	364	12	feed	feed	NOUN
fis-5061	364	13	(	(	PUNCT
fis-5061	364	14	f	f	X
fis-5061	364	15	)	)	PUNCT
fis-5061	364	16	(	(	PUNCT
fis-5061	364	17	mm	mm	NOUN
fis-5061	364	18	/	/	SYM
fis-5061	364	19	rev	rev	ADJ
fis-5061	364	20	)	)	PUNCT
fis-5061	364	21	depth	depth	NOUN
fis-5061	364	22	of	of	ADP
fis-5061	364	23	cut	cut	NOUN
fis-5061	364	24	(	(	PUNCT
fis-5061	364	25	d	d	NOUN
fis-5061	364	26	)	)	PUNCT
fis-5061	364	27	(	(	PUNCT
fis-5061	364	28	mm	mm	X
fis-5061	364	29	)	)	PUNCT
fis-5061	364	30	cutting	cut	VERB
fis-5061	364	31	force	force	NOUN
fis-5061	364	32			NOUN
fis-5061	364	33	fc	fc	PROPN
fis-5061	364	34	(	(	PUNCT
fis-5061	364	35	n	n	CCONJ
fis-5061	364	36	)	)	PUNCT
fis-5061	364	37	surface	surface	NOUN
fis-5061	364	38	roughness	roughness	NOUN
fis-5061	364	39			NOUN
fis-5061	365	1	ra	ra	PROPN
fis-5061	365	2	(	(	PUNCT
fis-5061	365	3	µm	µm	NOUN
fis-5061	365	4	)	)	PUNCT
fis-5061	365	5	tool	tool	NOUN
fis-5061	365	6	life	life	NOUN
fis-5061	365	7			PROPN
fis-5061	365	8	tl	tl	PROPN
fis-5061	365	9	(	(	PUNCT
fis-5061	365	10	min	min	NOUN
fis-5061	365	11	)	)	PUNCT
fis-5061	365	12	expt	expt	NOUN
fis-5061	365	13	.	.	PUNCT
fis-5061	366	1	ann	ann	PROPN
fis-5061	366	2	anfis	anfi	VERB
fis-5061	366	3	expt	expt	NOUN
fis-5061	366	4	.	.	PUNCT
fis-5061	367	1	ann	ann	PROPN
fis-5061	367	2	anfis	anfi	VERB
fis-5061	367	3	expt	expt	NOUN
fis-5061	367	4	.	.	PUNCT
fis-5061	368	1	ann	ann	PROPN
fis-5061	368	2	anfis	anfi	VERB
fis-5061	368	3	1	1	NUM
fis-5061	368	4	55	55	NUM
fis-5061	368	5	0.22	0.22	NUM
fis-5061	368	6	0.55	0.55	NUM
fis-5061	368	7	426	426	NUM
fis-5061	368	8	464.10	464.10	NUM
fis-5061	368	9	394.01	394.01	NUM
fis-5061	368	10	1.65	1.65	NUM
fis-5061	368	11	1.48	1.48	NUM
fis-5061	368	12	1.73	1.73	NUM
fis-5061	368	13	6.13	6.13	NUM
fis-5061	368	14	6.69	6.69	NUM
fis-5061	368	15	6.36	6.36	NUM
fis-5061	368	16	2	2	NUM
fis-5061	368	17	35	35	NUM
fis-5061	368	18	0.18	0.18	NUM
fis-5061	368	19	0.3	0.3	NUM
fis-5061	368	20	182	182	NUM
fis-5061	368	21	189.83	189.83	NUM
fis-5061	368	22	205.93	205.93	NUM
fis-5061	368	23	1.29	1.29	NUM
fis-5061	368	24	1.38	1.38	NUM
fis-5061	368	25	1.19	1.19	NUM
fis-5061	368	26	14.54	14.54	NUM
fis-5061	368	27	13.08	13.08	NUM
fis-5061	368	28	16.31	16.31	NUM
fis-5061	368	29	3	3	NUM
fis-5061	368	30	60	60	NUM
fis-5061	368	31	0.1	0.1	NUM
fis-5061	368	32	0.45	0.45	NUM
fis-5061	368	33	178	178	NUM
fis-5061	368	34	213.26	213.26	NUM
fis-5061	368	35	144.57	144.57	NUM
fis-5061	368	36	0.84	0.84	NUM
fis-5061	368	37	0.98	0.98	NUM
fis-5061	368	38	0.85	0.85	NUM
fis-5061	368	39	8.66	8.66	NUM
fis-5061	368	40	9.56	9.56	NUM
fis-5061	368	41	8.47	8.47	NUM
fis-5061	368	42	table	table	NOUN
fis-5061	368	43	6	6	NUM
fis-5061	368	44	:	:	PUNCT
fis-5061	368	45	validation	validation	NOUN
fis-5061	368	46	experiments	experiment	NOUN
fis-5061	368	47	.	.	PUNCT
fis-5061	369	1	expt	expt	NOUN
fis-5061	369	2	.	.	PUNCT
fis-5061	370	1	run	run	VERB
fis-5061	370	2	cutting	cut	VERB
fis-5061	370	3	speed	speed	NOUN
fis-5061	370	4	(	(	PUNCT
fis-5061	370	5	v	v	NOUN
fis-5061	370	6	)	)	PUNCT
fis-5061	370	7	(	(	PUNCT
fis-5061	370	8	m	m	NOUN
fis-5061	370	9	/	/	SYM
fis-5061	370	10	min	min	NOUN
fis-5061	370	11	)	)	PUNCT
fis-5061	370	12	feed	feed	NOUN
fis-5061	370	13	(	(	PUNCT
fis-5061	370	14	f	f	X
fis-5061	370	15	)	)	PUNCT
fis-5061	370	16	(	(	PUNCT
fis-5061	370	17	mm	mm	NOUN
fis-5061	370	18	/	/	SYM
fis-5061	370	19	rev	rev	ADJ
fis-5061	370	20	)	)	PUNCT
fis-5061	370	21	depth	depth	NOUN
fis-5061	370	22	of	of	ADP
fis-5061	370	23	cut	cut	NOUN
fis-5061	370	24	(	(	PUNCT
fis-5061	370	25	d	d	NOUN
fis-5061	370	26	)	)	PUNCT
fis-5061	370	27	(	(	PUNCT
fis-5061	370	28	mm	mm	NOUN
fis-5061	370	29	)	)	PUNCT
fis-5061	370	30	%	%	NOUN
fis-5061	370	31	absolute	absolute	ADJ
fis-5061	370	32	error	error	NOUN
fis-5061	370	33	in	in	ADP
fis-5061	370	34	cutting	cut	VERB
fis-5061	370	35	force	force	NOUN
fis-5061	370	36			NOUN
fis-5061	370	37	fc	fc	PROPN
fis-5061	370	38	(	(	PUNCT
fis-5061	370	39	n	n	CCONJ
fis-5061	370	40	)	)	PUNCT
fis-5061	370	41	%	%	NOUN
fis-5061	370	42	absolute	absolute	ADJ
fis-5061	370	43	error	error	NOUN
fis-5061	370	44	in	in	ADP
fis-5061	370	45	surface	surface	NOUN
fis-5061	370	46	roughness	roughness	NOUN
fis-5061	370	47			NOUN
fis-5061	370	48	ra	ra	PROPN
fis-5061	370	49	(	(	PUNCT
fis-5061	370	50	µm	µm	NOUN
fis-5061	370	51	)	)	PUNCT
fis-5061	370	52	%	%	NOUN
fis-5061	370	53	absolute	absolute	ADJ
fis-5061	370	54	error	error	NOUN
fis-5061	370	55	in	in	ADP
fis-5061	370	56	tool	tool	NOUN
fis-5061	370	57	life	life	NOUN
fis-5061	370	58			PROPN
fis-5061	370	59	tl	tl	PROPN
fis-5061	370	60	(	(	PUNCT
fis-5061	370	61	min	min	NOUN
fis-5061	370	62	)	)	PUNCT
fis-5061	370	63	ann	ann	PROPN
fis-5061	370	64	anfis	anfis	PROPN
fis-5061	370	65	ann	ann	PROPN
fis-5061	370	66	anfis	anfis	PROPN
fis-5061	371	1	ann	ann	PROPN
fis-5061	371	2	anfis	anfi	VERB
fis-5061	371	3	1	1	NUM
fis-5061	371	4	55	55	NUM
fis-5061	371	5	0.22	0.22	NUM
fis-5061	371	6	0.55	0.55	NUM
fis-5061	371	7	8.94	8.94	NUM
fis-5061	371	8	7.51	7.51	NUM
fis-5061	371	9	10.07	10.07	NUM
fis-5061	371	10	4.89	4.89	NUM
fis-5061	371	11	9.15	9.15	NUM
fis-5061	371	12	3.81	3.81	NUM
fis-5061	371	13	2	2	NUM
fis-5061	371	14	35	35	NUM
fis-5061	371	15	0.18	0.18	NUM
fis-5061	371	16	0.3	0.3	NUM
fis-5061	371	17	4.30	4.30	NUM
fis-5061	371	18	13.15	13.15	NUM
fis-5061	371	19	6.78	6.78	NUM
fis-5061	371	20	7.71	7.71	NUM
fis-5061	371	21	10.07	10.07	NUM
fis-5061	371	22	12.15	12.15	NUM
fis-5061	371	23	3	3	NUM
fis-5061	371	24	60	60	NUM
fis-5061	371	25	0.1	0.1	NUM
fis-5061	371	26	0.45	0.45	NUM
fis-5061	371	27	19.81	19.81	NUM
fis-5061	371	28	18.78	18.78	NUM
fis-5061	371	29	16.07	16.07	NUM
fis-5061	371	30	0.81	0.81	NUM
fis-5061	371	31	10.35	10.35	NUM
fis-5061	371	32	2.21	2.21	NUM
fis-5061	371	33	%	%	NOUN
fis-5061	371	34	absolute	absolute	ADJ
fis-5061	371	35	average	average	ADJ
fis-5061	371	36	error	error	NOUN
fis-5061	371	37	11.02	11.02	NUM
fis-5061	371	38	13.15	13.15	NUM
fis-5061	371	39	10.97	10.97	NUM
fis-5061	371	40	4.47	4.47	NUM
fis-5061	371	41	9.86	9.86	NUM
fis-5061	371	42	6.05	6.05	NUM
fis-5061	371	43	table	table	NOUN
fis-5061	371	44	7	7	NUM
fis-5061	371	45	:	:	SYM
fis-5061	371	46	%	%	NOUN
fis-5061	371	47	absolute	absolute	ADJ
fis-5061	371	48	error	error	NOUN
fis-5061	371	49	in	in	ADP
fis-5061	371	50	ann	ann	PROPN
fis-5061	371	51	and	and	CCONJ
fis-5061	371	52	anfis	anfis	PROPN
fis-5061	371	53	predicted	predict	VERB
fis-5061	371	54	results	result	NOUN
fis-5061	371	55	from	from	ADP
fis-5061	371	56	the	the	DET
fis-5061	371	57	validatory	validatory	ADJ
fis-5061	371	58	experimental	experimental	ADJ
fis-5061	371	59	results	result	NOUN
fis-5061	371	60	.	.	PUNCT
fis-5061	372	1	the	the	DET
fis-5061	372	2	results	result	NOUN
fis-5061	372	3	of	of	ADP
fis-5061	372	4	the	the	DET
fis-5061	372	5	validatory	validatory	ADJ
fis-5061	372	6	experiments	experiment	NOUN
fis-5061	372	7	showed	show	VERB
fis-5061	372	8	that	that	SCONJ
fis-5061	372	9	both	both	DET
fis-5061	372	10	models	model	NOUN
fis-5061	372	11	were	be	AUX
fis-5061	372	12	able	able	ADJ
fis-5061	372	13	to	to	PART
fis-5061	372	14	accurately	accurately	ADV
fis-5061	372	15	predict	predict	VERB
fis-5061	372	16	outcomes	outcome	NOUN
fis-5061	372	17	within	within	ADP
fis-5061	372	18	the	the	DET
fis-5061	372	19	specified	specified	ADJ
fis-5061	372	20	range	range	NOUN
fis-5061	372	21	,	,	PUNCT
fis-5061	372	22	further	far	ADV
fis-5061	372	23	validating	validate	VERB
fis-5061	372	24	their	their	PRON
fis-5061	372	25	predictive	predictive	ADJ
fis-5061	372	26	capabilities	capability	NOUN
fis-5061	372	27	.	.	PUNCT
fis-5061	373	1	this	this	DET
fis-5061	373	2	study	study	NOUN
fis-5061	373	3	finds	find	VERB
fis-5061	373	4	that	that	SCONJ
fis-5061	373	5	the	the	DET
fis-5061	373	6	soft	soft	ADJ
fis-5061	373	7	computing	computing	NOUN
fis-5061	373	8	techniques	technique	NOUN
fis-5061	373	9	such	such	ADJ
fis-5061	373	10	as	as	ADP
fis-5061	373	11	ann	ann	PROPN
fis-5061	373	12	and	and	CCONJ
fis-5061	373	13	anfis	anfis	PROPN
fis-5061	373	14	could	could	AUX
fis-5061	373	15	be	be	AUX
fis-5061	373	16	reliably	reliably	ADV
fis-5061	373	17	used	use	VERB
fis-5061	373	18	to	to	PART
fis-5061	373	19	model	model	VERB
fis-5061	373	20	turning	turning	NOUN
fis-5061	373	21	of	of	ADP
fis-5061	373	22	inconel	inconel	NOUN
fis-5061	373	23	718	718	NUM
fis-5061	373	24	under	under	ADP
fis-5061	373	25	nfmql	nfmql	ADJ
fis-5061	373	26	cutting	cut	VERB
fis-5061	373	27	conditions	condition	NOUN
fis-5061	373	28	.	.	PUNCT
fis-5061	374	1	in	in	ADP
fis-5061	374	2	comparison	comparison	NOUN
fis-5061	374	3	to	to	ADP
fis-5061	374	4	ann	ann	PROPN
fis-5061	374	5	,	,	PUNCT
fis-5061	374	6	the	the	DET
fis-5061	374	7	anfis	anfis	PROPN
fis-5061	374	8	technique	technique	NOUN
fis-5061	374	9	proved	prove	VERB
fis-5061	374	10	to	to	PART
fis-5061	374	11	be	be	AUX
fis-5061	374	12	more	more	ADV
fis-5061	374	13	accurate	accurate	ADJ
fis-5061	374	14	in	in	ADP
fis-5061	374	15	forecasting	forecast	VERB
fis-5061	374	16	surface	surface	NOUN
fis-5061	374	17	roughness	roughness	NOUN
fis-5061	374	18	and	and	CCONJ
fis-5061	374	19	tool	tool	NOUN
fis-5061	374	20	life	life	NOUN
fis-5061	374	21	within	within	ADP
fis-5061	374	22	a	a	DET
fis-5061	374	23	restricted	restricted	ADJ
fis-5061	374	24	range	range	NOUN
fis-5061	374	25	of	of	ADP
fis-5061	374	26	process	process	NOUN
fis-5061	374	27	parameters	parameter	NOUN
fis-5061	374	28	and	and	CCONJ
fis-5061	374	29	limited	limited	ADJ
fis-5061	374	30	experimental	experimental	ADJ
fis-5061	374	31	findings	finding	NOUN
fis-5061	374	32	.	.	PUNCT
fis-5061	375	1	the	the	DET
fis-5061	375	2	accuracy	accuracy	NOUN
fis-5061	375	3	of	of	ADP
fis-5061	375	4	cutting	cut	VERB
fis-5061	375	5	force	force	NOUN
fis-5061	375	6	prediction	prediction	NOUN
fis-5061	375	7	with	with	ADP
fis-5061	375	8	both	both	DET
fis-5061	375	9	models	model	NOUN
fis-5061	375	10	did	do	AUX
fis-5061	375	11	not	not	PART
fis-5061	375	12	,	,	PUNCT
fis-5061	375	13	however	however	ADV
fis-5061	375	14	,	,	PUNCT
fis-5061	375	15	differ	differ	VERB
fis-5061	375	16	much	much	ADJ
fis-5061	375	17	.	.	PUNCT
fis-5061	376	1	overall	overall	ADV
fis-5061	376	2	,	,	PUNCT
fis-5061	376	3	the	the	DET
fis-5061	376	4	results	result	NOUN
fis-5061	376	5	demonstrate	demonstrate	VERB
fis-5061	376	6	the	the	DET
fis-5061	376	7	effectiveness	effectiveness	NOUN
fis-5061	376	8	of	of	ADP
fis-5061	376	9	both	both	DET
fis-5061	376	10	models	model	NOUN
fis-5061	376	11	in	in	ADP
fis-5061	376	12	accurately	accurately	ADV
fis-5061	376	13	predicting	predict	VERB
fis-5061	376	14	outcomes	outcome	NOUN
fis-5061	376	15	across	across	ADP
fis-5061	376	16	various	various	ADJ
fis-5061	376	17	input	input	NOUN
fis-5061	376	18	parameters	parameter	NOUN
fis-5061	376	19	.	.	PUNCT
fis-5061	377	1	this	this	DET
fis-5061	377	2	comprehensive	comprehensive	ADJ
fis-5061	377	3	analysis	analysis	NOUN
fis-5061	377	4	enhances	enhance	VERB
fis-5061	377	5	our	our	PRON
fis-5061	377	6	understanding	understanding	NOUN
fis-5061	377	7	of	of	ADP
fis-5061	377	8	the	the	DET
fis-5061	377	9	predictive	predictive	ADJ
fis-5061	377	10	capabilities	capability	NOUN
fis-5061	377	11	of	of	ADP
fis-5061	377	12	these	these	DET
fis-5061	377	13	models	model	NOUN
fis-5061	377	14	in	in	ADP
fis-5061	377	15	realworld	realworld	PROPN
fis-5061	377	16	applications	application	NOUN
fis-5061	377	17	.	.	PUNCT
fis-5061	378	1	however	however	ADV
fis-5061	378	2	,	,	PUNCT
fis-5061	378	3	by	by	ADP
fis-5061	378	4	using	use	VERB
fis-5061	378	5	hybrid	hybrid	ADJ
fis-5061	378	6	optimization	optimization	NOUN
fis-5061	378	7	techniques	technique	NOUN
fis-5061	378	8	to	to	PART
fis-5061	378	9	optimize	optimize	VERB
fis-5061	378	10	membership	membership	NOUN
fis-5061	378	11	function	function	NOUN
fis-5061	378	12	parameters	parameter	NOUN
fis-5061	378	13	,	,	PUNCT
fis-5061	378	14	this	this	DET
fis-5061	378	15	study	study	NOUN
fis-5061	378	16	recommends	recommend	VERB
fis-5061	378	17	more	more	ADJ
fis-5061	378	18	research	research	NOUN
fis-5061	378	19	on	on	ADP
fis-5061	378	20	the	the	DET
fis-5061	378	21	modeling	modeling	NOUN
fis-5061	378	22	of	of	ADP
fis-5061	378	23	inconel	inconel	NOUN
fis-5061	378	24	718	718	NUM
fis-5061	378	25	machining	machining	NOUN
fis-5061	378	26	using	use	VERB
fis-5061	378	27	anfis	anfis	PROPN
fis-5061	378	28	.	.	PUNCT
fis-5061	379	1	further	further	ADJ
fis-5061	379	2	exploration	exploration	NOUN
fis-5061	379	3	of	of	ADP
fis-5061	379	4	different	different	ADJ
fis-5061	379	5	machining	machining	NOUN
fis-5061	379	6	parameters	parameter	NOUN
fis-5061	379	7	and	and	CCONJ
fis-5061	379	8	their	their	PRON
fis-5061	379	9	effects	effect	NOUN
fis-5061	379	10	on	on	ADP
fis-5061	379	11	the	the	DET
fis-5061	379	12	anfis	anfis	ADJ
fis-5061	379	13	model	model	NOUN
fis-5061	379	14	could	could	AUX
fis-5061	379	15	provide	provide	VERB
fis-5061	379	16	valuable	valuable	ADJ
fis-5061	379	17	insights	insight	NOUN
fis-5061	379	18	for	for	ADP
fis-5061	379	19	improving	improve	VERB
fis-5061	379	20	the	the	DET
fis-5061	379	21	accuracy	accuracy	NOUN
fis-5061	379	22	and	and	CCONJ
fis-5061	379	23	efficiency	efficiency	NOUN
fis-5061	379	24	of	of	ADP
fis-5061	379	25	inconel	inconel	NOUN
fis-5061	379	26	718	718	NUM
fis-5061	379	27	machining	machining	NOUN
fis-5061	379	28	processes	process	NOUN
fis-5061	379	29	.	.	PUNCT
fis-5061	380	1	additionally	additionally	ADV
fis-5061	380	2	,	,	PUNCT
fis-5061	380	3	comparing	compare	VERB
fis-5061	380	4	the	the	DET
fis-5061	380	5	performance	performance	NOUN
fis-5061	380	6	of	of	ADP
fis-5061	380	7	anfis	anfi	VERB
fis-5061	380	8	with	with	ADP
fis-5061	380	9	other	other	ADJ
fis-5061	380	10	machine	machine	NOUN
fis-5061	380	11	learning	learn	VERB
fis-5061	380	12	techniques	technique	NOUN
fis-5061	380	13	in	in	ADP
fis-5061	380	14	this	this	DET
fis-5061	380	15	context	context	NOUN
fis-5061	380	16	may	may	AUX
fis-5061	380	17	offer	offer	VERB
fis-5061	380	18	a	a	DET
fis-5061	380	19	comprehensive	comprehensive	ADJ
fis-5061	380	20	understanding	understanding	NOUN
fis-5061	380	21	of	of	ADP
fis-5061	380	22	its	its	PRON
fis-5061	380	23	capabilities	capability	NOUN
fis-5061	380	24	and	and	CCONJ
fis-5061	380	25	limitations	limitation	NOUN
fis-5061	380	26	.	.	PUNCT
fis-5061	381	1	conclusions	conclusion	NOUN
fis-5061	381	2	ickel	ickel	VERB
fis-5061	381	3	alloys	alloy	NOUN
fis-5061	381	4	'	'	PART
fis-5061	381	5	low	low	ADJ
fis-5061	381	6	heat	heat	NOUN
fis-5061	381	7	conductivity	conductivity	NOUN
fis-5061	381	8	and	and	CCONJ
fis-5061	381	9	poor	poor	ADJ
fis-5061	381	10	machinability	machinability	NOUN
fis-5061	381	11	cause	cause	VERB
fis-5061	381	12	severe	severe	ADJ
fis-5061	381	13	damage	damage	NOUN
fis-5061	381	14	to	to	ADP
fis-5061	381	15	cutting	cut	VERB
fis-5061	381	16	tools	tool	NOUN
fis-5061	381	17	during	during	ADP
fis-5061	381	18	machining	machining	NOUN
fis-5061	381	19	,	,	PUNCT
fis-5061	381	20	leading	lead	VERB
fis-5061	381	21	to	to	ADP
fis-5061	381	22	increased	increase	VERB
fis-5061	381	23	manufacturing	manufacturing	NOUN
fis-5061	381	24	costs	cost	NOUN
fis-5061	381	25	.	.	PUNCT
fis-5061	382	1	it	it	PRON
fis-5061	382	2	is	be	AUX
fis-5061	382	3	essential	essential	ADJ
fis-5061	382	4	to	to	PART
fis-5061	382	5	develop	develop	VERB
fis-5061	382	6	models	model	NOUN
fis-5061	382	7	to	to	PART
fis-5061	382	8	predict	predict	VERB
fis-5061	382	9	machining	machining	NOUN
fis-5061	382	10	parameters	parameter	NOUN
fis-5061	382	11	to	to	PART
fis-5061	382	12	increase	increase	VERB
fis-5061	382	13	production	production	NOUN
fis-5061	382	14	efficiency	efficiency	NOUN
fis-5061	382	15	,	,	PUNCT
fis-5061	382	16	save	save	VERB
fis-5061	382	17	costs	cost	NOUN
fis-5061	382	18	,	,	PUNCT
fis-5061	382	19	and	and	CCONJ
fis-5061	382	20	ensure	ensure	VERB
fis-5061	382	21	quality	quality	NOUN
fis-5061	382	22	.	.	PUNCT
fis-5061	383	1	soft	soft	ADJ
fis-5061	383	2	computing	computing	NOUN
fis-5061	383	3	techniques	technique	NOUN
fis-5061	383	4	,	,	PUNCT
fis-5061	383	5	with	with	ADP
fis-5061	383	6	their	their	PRON
fis-5061	383	7	self	self	NOUN
fis-5061	383	8	-	-	PUNCT
fis-5061	383	9	learning	learn	VERB
fis-5061	383	10	n	n	PROPN
fis-5061	383	11	p.	p.	NOUN
fis-5061	383	12	kulkarni	kulkarni	PROPN
fis-5061	383	13	et	et	PROPN
fis-5061	383	14	alii	alii	PROPN
fis-5061	383	15	,	,	PUNCT
fis-5061	383	16	frattura	frattura	PROPN
fis-5061	383	17	ed	ed	PROPN
fis-5061	383	18	integrità	integrità	PROPN
fis-5061	383	19	strutturale	strutturale	PROPN
fis-5061	383	20	,	,	PUNCT
fis-5061	383	21	70	70	NUM
fis-5061	383	22	(	(	PUNCT
fis-5061	383	23	2024	2024	NUM
fis-5061	383	24	)	)	PUNCT
fis-5061	383	25	71	71	NUM
fis-5061	383	26	-	-	SYM
fis-5061	383	27	90	90	NUM
fis-5061	383	28	;	;	PUNCT
fis-5061	383	29	doi	doi	NOUN
fis-5061	383	30	:	:	PUNCT
fis-5061	383	31	10.3221	10.3221	NUM
fis-5061	383	32	/	/	SYM
fis-5061	383	33	igf	igf	PROPN
fis-5061	383	34	-	-	PROPN
fis-5061	383	35	esis.70.04	esis.70.04	PROPN
fis-5061	383	36	88	88	NUM
fis-5061	383	37	capabilities	capability	NOUN
fis-5061	383	38	,	,	PUNCT
fis-5061	383	39	fuzzy	fuzzy	ADJ
fis-5061	383	40	principles	principle	NOUN
fis-5061	383	41	,	,	PUNCT
fis-5061	383	42	and	and	CCONJ
fis-5061	383	43	evolutionary	evolutionary	ADJ
fis-5061	383	44	computational	computational	ADJ
fis-5061	383	45	philosophy	philosophy	NOUN
fis-5061	383	46	,	,	PUNCT
fis-5061	383	47	are	be	AUX
fis-5061	383	48	being	be	AUX
fis-5061	383	49	increasingly	increasingly	ADV
fis-5061	383	50	utilized	utilize	VERB
fis-5061	383	51	in	in	ADP
fis-5061	383	52	modeling	model	VERB
fis-5061	383	53	such	such	ADJ
fis-5061	383	54	complex	complex	ADJ
fis-5061	383	55	machining	machining	NOUN
fis-5061	383	56	processes	process	NOUN
fis-5061	383	57	.	.	PUNCT
fis-5061	384	1	utilizing	utilize	VERB
fis-5061	384	2	well	well	ADV
fis-5061	384	3	-	-	PUNCT
fis-5061	384	4	designed	design	VERB
fis-5061	384	5	nfmql	nfmql	ADJ
fis-5061	384	6	machining	machining	NOUN
fis-5061	384	7	trials	trial	NOUN
fis-5061	384	8	,	,	PUNCT
fis-5061	384	9	this	this	DET
fis-5061	384	10	study	study	NOUN
fis-5061	384	11	builds	build	VERB
fis-5061	384	12	models	model	NOUN
fis-5061	384	13	for	for	ADP
fis-5061	384	14	adaptive	adaptive	ADJ
fis-5061	384	15	neuro	neuro	NOUN
fis-5061	384	16	-	-	PUNCT
fis-5061	384	17	fuzzy	fuzzy	ADJ
fis-5061	384	18	inference	inference	NOUN
fis-5061	384	19	systems	system	NOUN
fis-5061	384	20	(	(	PUNCT
fis-5061	384	21	anfis	anfi	VERB
fis-5061	384	22	)	)	PUNCT
fis-5061	384	23	and	and	CCONJ
fis-5061	384	24	artificial	artificial	ADJ
fis-5061	384	25	neural	neural	ADJ
fis-5061	384	26	networks	network	NOUN
fis-5061	384	27	(	(	PUNCT
fis-5061	384	28	ann	ann	PROPN
fis-5061	384	29	)	)	PUNCT
fis-5061	384	30	to	to	PART
fis-5061	384	31	forecast	forecast	VERB
fis-5061	384	32	the	the	DET
fis-5061	384	33	machining	machining	NOUN
fis-5061	384	34	performance	performance	NOUN
fis-5061	384	35	of	of	ADP
fis-5061	384	36	inconel	inconel	NOUN
fis-5061	384	37	718	718	NUM
fis-5061	384	38	turning	turning	NOUN
fis-5061	384	39	.	.	PUNCT
fis-5061	385	1	the	the	DET
fis-5061	385	2	study	study	NOUN
fis-5061	385	3	used	use	VERB
fis-5061	385	4	the	the	DET
fis-5061	385	5	neural	neural	ADJ
fis-5061	385	6	network	network	NOUN
fis-5061	385	7	toolbox	toolbox	NOUN
fis-5061	385	8	and	and	CCONJ
fis-5061	385	9	anfis	anfi	VERB
fis-5061	385	10	toolbox	toolbox	NOUN
fis-5061	385	11	in	in	ADP
fis-5061	385	12	matlab	matlab	PROPN
fis-5061	385	13	software	software	NOUN
fis-5061	385	14	to	to	PART
fis-5061	385	15	train	train	VERB
fis-5061	385	16	and	and	CCONJ
fis-5061	385	17	forecast	forecast	VERB
fis-5061	385	18	the	the	DET
fis-5061	385	19	cutting	cut	VERB
fis-5061	385	20	force	force	NOUN
fis-5061	385	21	,	,	PUNCT
fis-5061	385	22	surface	surface	NOUN
fis-5061	385	23	roughness	roughness	NOUN
fis-5061	385	24	,	,	PUNCT
fis-5061	385	25	and	and	CCONJ
fis-5061	385	26	tool	tool	NOUN
fis-5061	385	27	life	life	NOUN
fis-5061	385	28	.	.	PUNCT
fis-5061	386	1	from	from	ADP
fis-5061	386	2	the	the	DET
fis-5061	386	3	current	current	ADJ
fis-5061	386	4	study	study	NOUN
fis-5061	386	5	,	,	PUNCT
fis-5061	386	6	the	the	DET
fis-5061	386	7	following	follow	VERB
fis-5061	386	8	conclusions	conclusion	NOUN
fis-5061	386	9	could	could	AUX
fis-5061	386	10	be	be	AUX
fis-5061	386	11	drawn	draw	VERB
fis-5061	386	12	:	:	PUNCT
fis-5061	386	13			NOUN
fis-5061	386	14	the	the	DET
fis-5061	386	15	selection	selection	NOUN
fis-5061	386	16	of	of	ADP
fis-5061	386	17	feed	feed	NOUN
fis-5061	386	18	and	and	CCONJ
fis-5061	386	19	depth	depth	NOUN
fis-5061	386	20	of	of	ADP
fis-5061	386	21	cut	cut	NOUN
fis-5061	386	22	turned	turn	VERB
fis-5061	386	23	out	out	ADP
fis-5061	386	24	to	to	PART
fis-5061	386	25	be	be	AUX
fis-5061	386	26	more	more	ADV
fis-5061	386	27	critical	critical	ADJ
fis-5061	386	28	in	in	ADP
fis-5061	386	29	achieving	achieve	VERB
fis-5061	386	30	a	a	DET
fis-5061	386	31	lower	low	ADJ
fis-5061	386	32	cutting	cutting	NOUN
fis-5061	386	33	force	force	NOUN
fis-5061	386	34	.	.	PUNCT
fis-5061	387	1	feed	feed	NOUN
fis-5061	387	2	significantly	significantly	ADV
fis-5061	387	3	impacts	impact	VERB
fis-5061	387	4	surface	surface	NOUN
fis-5061	387	5	roughness	roughness	NOUN
fis-5061	387	6	.	.	PUNCT
fis-5061	388	1	the	the	DET
fis-5061	388	2	selection	selection	NOUN
fis-5061	388	3	of	of	ADP
fis-5061	388	4	lower	low	ADJ
fis-5061	388	5	cutting	cut	VERB
fis-5061	388	6	parameters	parameter	NOUN
fis-5061	388	7	led	lead	VERB
fis-5061	388	8	to	to	ADP
fis-5061	388	9	better	well	ADJ
fis-5061	388	10	tool	tool	NOUN
fis-5061	388	11	life	life	NOUN
fis-5061	388	12	estimates	estimate	NOUN
fis-5061	388	13	.	.	PUNCT
fis-5061	389	1			X
fis-5061	389	2	the	the	DET
fis-5061	389	3	highest	high	ADJ
fis-5061	389	4	tool	tool	NOUN
fis-5061	389	5	life	life	NOUN
fis-5061	389	6	of	of	ADP
fis-5061	389	7	8	8	NUM
fis-5061	389	8	-	-	SYM
fis-5061	389	9	10	10	NUM
fis-5061	389	10	min	min	NOUN
fis-5061	389	11	was	be	AUX
fis-5061	389	12	obtained	obtain	VERB
fis-5061	389	13	at	at	ADP
fis-5061	389	14	a	a	DET
fis-5061	389	15	lower	low	ADJ
fis-5061	389	16	cutting	cutting	NOUN
fis-5061	389	17	speed	speed	NOUN
fis-5061	389	18	of	of	ADP
fis-5061	389	19	30	30	NUM
fis-5061	389	20	m	m	NOUN
fis-5061	389	21	/	/	SYM
fis-5061	389	22	min	min	PROPN
fis-5061	389	23	,	,	PUNCT
fis-5061	389	24	a	a	DET
fis-5061	389	25	feed	feed	NOUN
fis-5061	389	26	in	in	ADP
fis-5061	389	27	the	the	DET
fis-5061	389	28	range	range	NOUN
fis-5061	389	29	of	of	ADP
fis-5061	389	30	0.2	0.2	NUM
fis-5061	389	31	-	-	PUNCT
fis-5061	389	32	0.25	0.25	NUM
fis-5061	389	33	mm	mm	NOUN
fis-5061	389	34	/	/	SYM
fis-5061	389	35	rev	rev	PROPN
fis-5061	389	36	,	,	PUNCT
fis-5061	389	37	and	and	CCONJ
fis-5061	389	38	a	a	DET
fis-5061	389	39	lower	low	ADJ
fis-5061	389	40	depth	depth	NOUN
fis-5061	389	41	of	of	ADP
fis-5061	389	42	cut	cut	NOUN
fis-5061	389	43	.	.	PUNCT
fis-5061	390	1	the	the	DET
fis-5061	390	2	surface	surface	NOUN
fis-5061	390	3	roughness	roughness	NOUN
fis-5061	390	4	was	be	AUX
fis-5061	390	5	found	find	VERB
fis-5061	390	6	to	to	PART
fis-5061	390	7	reach	reach	VERB
fis-5061	390	8	beyond	beyond	ADP
fis-5061	390	9	2	2	NUM
fis-5061	390	10	µm	µm	NOUN
fis-5061	390	11	at	at	ADP
fis-5061	390	12	higher	high	ADJ
fis-5061	390	13	values	value	NOUN
fis-5061	390	14	of	of	ADP
fis-5061	390	15	feed	feed	NOUN
fis-5061	390	16	and	and	CCONJ
fis-5061	390	17	depth	depth	NOUN
fis-5061	390	18	of	of	ADP
fis-5061	390	19	cut	cut	NOUN
fis-5061	390	20	of	of	ADP
fis-5061	390	21	0.3	0.3	NUM
fis-5061	390	22	mm	mm	NOUN
fis-5061	390	23	/	/	SYM
fis-5061	390	24	rev	rev	PROPN
fis-5061	390	25	and	and	CCONJ
fis-5061	390	26	0.8	0.8	NUM
fis-5061	390	27	mm	mm	NOUN
fis-5061	390	28	.	.	PUNCT
fis-5061	391	1	the	the	DET
fis-5061	391	2	cutting	cut	VERB
fis-5061	391	3	force	force	NOUN
fis-5061	391	4	found	find	VERB
fis-5061	391	5	to	to	PART
fis-5061	391	6	be	be	AUX
fis-5061	391	7	higher	high	ADJ
fis-5061	391	8	,	,	PUNCT
fis-5061	391	9	reaching	reach	VERB
fis-5061	391	10	up	up	ADP
fis-5061	391	11	to	to	PART
fis-5061	391	12	800	800	NUM
fis-5061	391	13	n	n	NOUN
fis-5061	391	14	at	at	ADP
fis-5061	391	15	higher	high	ADJ
fis-5061	391	16	values	value	NOUN
fis-5061	391	17	of	of	ADP
fis-5061	391	18	feed	feed	NOUN
fis-5061	391	19	and	and	CCONJ
fis-5061	391	20	depth	depth	NOUN
fis-5061	391	21	of	of	ADP
fis-5061	391	22	cut	cut	NOUN
fis-5061	391	23	of	of	ADP
fis-5061	391	24	0.3	0.3	NUM
fis-5061	391	25	mm	mm	NOUN
fis-5061	391	26	/	/	SYM
fis-5061	391	27	rev	rev	PROPN
fis-5061	391	28	and	and	CCONJ
fis-5061	391	29	0.8	0.8	NUM
fis-5061	391	30	mm	mm	NOUN
fis-5061	391	31	.	.	PUNCT
fis-5061	392	1			PUNCT
fis-5061	393	1	the	the	DET
fis-5061	393	2	ann	ann	PROPN
fis-5061	393	3	model	model	NOUN
fis-5061	393	4	developed	develop	VERB
fis-5061	393	5	to	to	PART
fis-5061	393	6	predict	predict	VERB
fis-5061	393	7	cutting	cut	VERB
fis-5061	393	8	force	force	NOUN
fis-5061	393	9	,	,	PUNCT
fis-5061	393	10	surface	surface	NOUN
fis-5061	393	11	roughness	roughness	NOUN
fis-5061	393	12	,	,	PUNCT
fis-5061	393	13	and	and	CCONJ
fis-5061	393	14	tool	tool	NOUN
fis-5061	393	15	life	life	NOUN
fis-5061	393	16	using	use	VERB
fis-5061	393	17	one	one	NUM
fis-5061	393	18	hidden	hide	VERB
fis-5061	393	19	layer	layer	NOUN
fis-5061	393	20	with	with	ADP
fis-5061	393	21	ten	ten	NUM
fis-5061	393	22	neurons	neuron	NOUN
fis-5061	393	23	showed	show	VERB
fis-5061	393	24	optimal	optimal	ADJ
fis-5061	393	25	validation	validation	NOUN
fis-5061	393	26	performance	performance	NOUN
fis-5061	393	27	at	at	ADP
fis-5061	393	28	epoch	epoch	NOUN
fis-5061	393	29	5	5	NUM
fis-5061	393	30	,	,	PUNCT
fis-5061	393	31	with	with	ADP
fis-5061	393	32	a	a	DET
fis-5061	393	33	score	score	NOUN
fis-5061	393	34	of	of	ADP
fis-5061	393	35	92.89	92.89	NUM
fis-5061	393	36	and	and	CCONJ
fis-5061	393	37	a	a	DET
fis-5061	393	38	prediction	prediction	NOUN
fis-5061	393	39	accuracy	accuracy	NOUN
fis-5061	393	40	of	of	ADP
fis-5061	393	41	0.9942	0.9942	NUM
fis-5061	393	42	.	.	PUNCT
fis-5061	394	1			PUNCT
fis-5061	395	1	the	the	DET
fis-5061	395	2	anfis	anfis	PROPN
fis-5061	395	3	models	model	NOUN
fis-5061	395	4	were	be	AUX
fis-5061	395	5	developed	develop	VERB
fis-5061	395	6	using	use	VERB
fis-5061	395	7	triangular	triangular	NOUN
fis-5061	395	8	,	,	PUNCT
fis-5061	395	9	trapezoidal	trapezoidal	ADJ
fis-5061	395	10	,	,	PUNCT
fis-5061	395	11	gaussian	gaussian	NOUN
fis-5061	395	12	,	,	PUNCT
fis-5061	395	13	and	and	CCONJ
fis-5061	395	14	generalized	generalized	ADJ
fis-5061	395	15	bell	bell	NOUN
fis-5061	395	16	membership	membership	NOUN
fis-5061	395	17	functions	function	NOUN
fis-5061	395	18	.	.	PUNCT
fis-5061	396	1	anfis	anfis	PROPN
fis-5061	396	2	models	model	NOUN
fis-5061	396	3	developed	develop	VERB
fis-5061	396	4	for	for	ADP
fis-5061	396	5	cutting	cut	VERB
fis-5061	396	6	force	force	NOUN
fis-5061	396	7	and	and	CCONJ
fis-5061	396	8	surface	surface	NOUN
fis-5061	396	9	roughness	roughness	NOUN
fis-5061	396	10	showed	show	VERB
fis-5061	396	11	better	well	ADJ
fis-5061	396	12	prediction	prediction	NOUN
fis-5061	396	13	accuracy	accuracy	NOUN
fis-5061	396	14	with	with	ADP
fis-5061	396	15	the	the	DET
fis-5061	396	16	triangular	triangular	NOUN
fis-5061	396	17	membership	membership	NOUN
fis-5061	396	18	function	function	NOUN
fis-5061	396	19	,	,	PUNCT
fis-5061	396	20	followed	follow	VERB
fis-5061	396	21	by	by	ADP
fis-5061	396	22	the	the	DET
fis-5061	396	23	gaussian	gaussian	NOUN
fis-5061	396	24	(	(	PUNCT
fis-5061	396	25	gaussmf	gaussmf	NOUN
fis-5061	396	26	)	)	PUNCT
fis-5061	396	27	membership	membership	NOUN
fis-5061	396	28	function	function	NOUN
fis-5061	396	29	.	.	PUNCT
fis-5061	397	1	however	however	ADV
fis-5061	397	2	,	,	PUNCT
fis-5061	397	3	better	well	ADJ
fis-5061	397	4	prediction	prediction	NOUN
fis-5061	397	5	accuracy	accuracy	NOUN
fis-5061	397	6	of	of	ADP
fis-5061	397	7	the	the	DET
fis-5061	397	8	anfis	anfis	ADJ
fis-5061	397	9	tool	tool	NOUN
fis-5061	397	10	life	life	NOUN
fis-5061	397	11	model	model	NOUN
fis-5061	397	12	was	be	AUX
fis-5061	397	13	observed	observe	VERB
fis-5061	397	14	with	with	ADP
fis-5061	397	15	almost	almost	ADV
fis-5061	397	16	all	all	DET
fis-5061	397	17	the	the	DET
fis-5061	397	18	different	different	ADJ
fis-5061	397	19	membership	membership	NOUN
fis-5061	397	20	functions	function	NOUN
fis-5061	397	21	considered	consider	VERB
fis-5061	397	22	in	in	ADP
fis-5061	397	23	the	the	DET
fis-5061	397	24	present	present	ADJ
fis-5061	397	25	study	study	NOUN
fis-5061	397	26	.	.	PUNCT
fis-5061	398	1			PUNCT
fis-5061	399	1	the	the	DET
fis-5061	399	2	anfis	anfis	PROPN
fis-5061	399	3	models	model	NOUN
fis-5061	399	4	developed	develop	VERB
fis-5061	399	5	using	use	VERB
fis-5061	399	6	the	the	DET
fis-5061	399	7	triangular	triangular	NOUN
fis-5061	399	8	membership	membership	NOUN
fis-5061	399	9	function	function	NOUN
fis-5061	399	10	showed	show	VERB
fis-5061	399	11	minimum	minimum	ADJ
fis-5061	399	12	testing	testing	NOUN
fis-5061	399	13	error	error	NOUN
fis-5061	399	14	with	with	ADP
fis-5061	399	15	better	well	ADJ
fis-5061	399	16	rsquared	rsquared	ADJ
fis-5061	399	17	values	value	NOUN
fis-5061	399	18	of	of	ADP
fis-5061	399	19	0.9815	0.9815	NUM
fis-5061	399	20	,	,	PUNCT
fis-5061	399	21	0.8543	0.8543	NUM
fis-5061	399	22	,	,	PUNCT
fis-5061	399	23	and	and	CCONJ
fis-5061	399	24	0.9986	0.9986	NUM
fis-5061	399	25	for	for	ADP
fis-5061	399	26	cutting	cut	VERB
fis-5061	399	27	force	force	NOUN
fis-5061	399	28	,	,	PUNCT
fis-5061	399	29	surface	surface	NOUN
fis-5061	399	30	roughness	roughness	NOUN
fis-5061	399	31	,	,	PUNCT
fis-5061	399	32	and	and	CCONJ
fis-5061	399	33	tool	tool	NOUN
fis-5061	399	34	life	life	NOUN
fis-5061	399	35	,	,	PUNCT
fis-5061	399	36	respectively	respectively	ADV
fis-5061	399	37	.	.	PUNCT
fis-5061	400	1			PUNCT
fis-5061	400	2	this	this	DET
fis-5061	400	3	study	study	NOUN
fis-5061	400	4	found	find	VERB
fis-5061	400	5	a	a	DET
fis-5061	400	6	good	good	ADJ
fis-5061	400	7	agreement	agreement	NOUN
fis-5061	400	8	between	between	ADP
fis-5061	400	9	the	the	DET
fis-5061	400	10	experimental	experimental	ADJ
fis-5061	400	11	findings	finding	NOUN
fis-5061	400	12	and	and	CCONJ
fis-5061	400	13	the	the	DET
fis-5061	400	14	ann	ann	PROPN
fis-5061	400	15	and	and	CCONJ
fis-5061	400	16	anfis	anfis	PROPN
fis-5061	400	17	predicted	predict	VERB
fis-5061	400	18	results	result	NOUN
fis-5061	400	19	,	,	PUNCT
fis-5061	400	20	with	with	ADP
fis-5061	400	21	an	an	DET
fis-5061	400	22	average	average	ADJ
fis-5061	400	23	error	error	NOUN
fis-5061	400	24	of	of	ADP
fis-5061	400	25	less	less	ADJ
fis-5061	400	26	than	than	ADP
fis-5061	400	27	15	15	NUM
fis-5061	400	28	%	%	NOUN
fis-5061	400	29	.	.	PUNCT
fis-5061	401	1	however	however	ADV
fis-5061	401	2	,	,	PUNCT
fis-5061	401	3	anfis	anfis	PROPN
fis-5061	401	4	outperforms	outperform	VERB
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fis-5061	401	13	errors	error	NOUN
fis-5061	401	14	of	of	ADP
fis-5061	401	15	4.47	4.47	NUM
fis-5061	401	16	%	%	NOUN
fis-5061	401	17	and	and	CCONJ
fis-5061	401	18	10.97	10.97	NUM
fis-5061	401	19	%	%	NOUN
fis-5061	401	20	for	for	ADP
fis-5061	401	21	surface	surface	NOUN
fis-5061	401	22	roughness	roughness	NOUN
fis-5061	401	23	,	,	PUNCT
fis-5061	401	24	and	and	CCONJ
fis-5061	401	25	6.05	6.05	NUM
fis-5061	401	26	%	%	NOUN
fis-5061	401	27	and	and	CCONJ
fis-5061	401	28	9.86	9.86	NUM
fis-5061	401	29	%	%	NOUN
fis-5061	401	30	for	for	ADP
fis-5061	401	31	tool	tool	NOUN
fis-5061	401	32	life	life	NOUN
fis-5061	401	33	,	,	PUNCT
fis-5061	401	34	respectively	respectively	ADV
fis-5061	401	35	.	.	PUNCT
fis-5061	402	1	however	however	ADV
fis-5061	402	2	,	,	PUNCT
fis-5061	402	3	the	the	DET
fis-5061	402	4	accuracy	accuracy	NOUN
fis-5061	402	5	of	of	ADP
fis-5061	402	6	cutting	cut	VERB
fis-5061	402	7	force	force	NOUN
fis-5061	402	8	prediction	prediction	NOUN
fis-5061	402	9	was	be	AUX
fis-5061	402	10	slightly	slightly	ADV
fis-5061	402	11	higher	high	ADJ
fis-5061	402	12	with	with	ADP
fis-5061	402	13	the	the	DET
fis-5061	402	14	ann	ann	PROPN
fis-5061	402	15	,	,	PUNCT
fis-5061	402	16	with	with	ADP
fis-5061	402	17	prediction	prediction	NOUN
fis-5061	402	18	errors	error	NOUN
fis-5061	402	19	of	of	ADP
fis-5061	402	20	11.02	11.02	NUM
fis-5061	402	21	%	%	NOUN
fis-5061	402	22	against	against	ADP
fis-5061	402	23	13.15	13.15	NUM
fis-5061	402	24	%	%	NOUN
fis-5061	402	25	for	for	ADP
fis-5061	402	26	anfis	anfis	PROPN
fis-5061	402	27	.	.	PUNCT
fis-5061	403	1	this	this	PRON
fis-5061	403	2	shows	show	VERB
fis-5061	403	3	that	that	PRON
fis-5061	403	4	anfis	anfis	PROPN
fis-5061	403	5	could	could	AUX
fis-5061	403	6	be	be	AUX
fis-5061	403	7	a	a	DET
fis-5061	403	8	better	well	ADJ
fis-5061	403	9	option	option	NOUN
fis-5061	403	10	for	for	ADP
fis-5061	403	11	forecasting	forecast	VERB
fis-5061	403	12	the	the	DET
fis-5061	403	13	machining	machining	NOUN
fis-5061	403	14	performance	performance	NOUN
fis-5061	403	15	while	while	SCONJ
fis-5061	403	16	turning	turn	VERB
fis-5061	403	17	inconel	inconel	NOUN
fis-5061	403	18	718	718	NUM
fis-5061	403	19	.	.	PUNCT
fis-5061	404	1			PUNCT
fis-5061	404	2	this	this	DET
fis-5061	404	3	study	study	NOUN
fis-5061	404	4	suggests	suggest	VERB
fis-5061	404	5	further	further	ADJ
fis-5061	404	6	investigation	investigation	NOUN
fis-5061	404	7	into	into	ADP
fis-5061	404	8	anfis	anfis	ADJ
fis-5061	404	9	modeling	modeling	NOUN
fis-5061	404	10	,	,	PUNCT
fis-5061	404	11	with	with	ADP
fis-5061	404	12	a	a	DET
fis-5061	404	13	focus	focus	NOUN
fis-5061	404	14	on	on	ADP
fis-5061	404	15	membership	membership	NOUN
fis-5061	404	16	function	function	NOUN
fis-5061	404	17	parameter	parameter	NOUN
fis-5061	404	18	optimization	optimization	NOUN
fis-5061	404	19	through	through	ADP
fis-5061	404	20	hybrid	hybrid	ADJ
fis-5061	404	21	optimization	optimization	NOUN
fis-5061	404	22	techniques	technique	NOUN
fis-5061	404	23	.	.	PUNCT
fis-5061	405	1	references	reference	NOUN
fis-5061	405	2	[	[	X
fis-5061	405	3	1	1	NUM
fis-5061	405	4	]	]	PUNCT
fis-5061	405	5	kulkarni	kulkarni	PROPN
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fis-5061	405	7	p.	p.	NOUN
fis-5061	405	8	and	and	CCONJ
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fis-5061	405	10	,	,	PUNCT
fis-5061	405	11	s.	s.	PROPN
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fis-5061	405	13	2023	2023	NUM
fis-5061	405	14	)	)	PUNCT
fis-5061	405	15	.	.	PUNCT
fis-5061	406	1	a	a	DET
fis-5061	406	2	review	review	NOUN
fis-5061	406	3	on	on	ADP
fis-5061	406	4	machining	machining	NOUN
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fis-5061	406	6	nickel	nickel	NOUN
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fis-5061	406	9	superalloys	superalloy	NOUN
fis-5061	406	10	using	use	VERB
fis-5061	406	11	nanofluids	nanofluid	NOUN
fis-5061	406	12	under	under	ADP
fis-5061	406	13	minimum	minimum	ADJ
fis-5061	406	14	quantity	quantity	NOUN
fis-5061	406	15	lubrication	lubrication	NOUN
fis-5061	406	16	(	(	PUNCT
fis-5061	406	17	nfmql	nfmql	INTJ
fis-5061	406	18	)	)	PUNCT
fis-5061	406	19	.	.	PUNCT
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fis-5061	408	2	.	.	PUNCT
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fis-5061	408	4	ser	ser	PROPN
fis-5061	408	5	.	.	PUNCT
fis-5061	409	1	c	c	X
fis-5061	409	2	,	,	PUNCT
fis-5061	409	3	104(1	104(1	NUM
fis-5061	409	4	)	)	PUNCT
fis-5061	409	5	,	,	PUNCT
fis-5061	409	6	pp	pp	ADP
fis-5061	409	7	.	.	PUNCT
fis-5061	410	1	183	183	NUM
fis-5061	410	2	-	-	SYM
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fis-5061	410	4	.	.	PUNCT
fis-5061	411	1	doi	doi	NOUN
fis-5061	411	2	:	:	PUNCT
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fis-5061	411	4	/	/	SYM
fis-5061	411	5	s40032	s40032	NOUN
fis-5061	411	6	-	-	PUNCT
fis-5061	411	7	022	022	NUM
fis-5061	411	8	-	-	PUNCT
fis-5061	411	9	00905	00905	NUM
fis-5061	411	10	-	-	PUNCT
fis-5061	411	11	w	w	NOUN
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fis-5061	412	2	2	2	NUM
fis-5061	412	3	]	]	X
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fis-5061	412	6	m.q	m.q	PROPN
fis-5061	412	7	.	.	PROPN
fis-5061	412	8	and	and	CCONJ
fis-5061	412	9	mehmood	mehmood	PROPN
fis-5061	412	10	,	,	PUNCT
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fis-5061	412	14	)	)	PUNCT
fis-5061	412	15	.	.	PUNCT
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fis-5061	413	2	-	-	PUNCT
fis-5061	413	3	friendly	friendly	ADJ
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fis-5061	413	5	turning	turning	NOUN
fis-5061	413	6	of	of	ADP
fis-5061	413	7	superalloy	superalloy	NOUN
fis-5061	413	8	inconel	inconel	NOUN
fis-5061	413	9	718	718	NUM
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fis-5061	413	11	mql	mql	NOUN
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fis-5061	413	14	oils	oil	NOUN
fis-5061	413	15	:	:	PUNCT
fis-5061	413	16	tool	tool	NOUN
fis-5061	413	17	wear	wear	VERB
fis-5061	413	18	and	and	CCONJ
fis-5061	413	19	surface	surface	NOUN
fis-5061	413	20	integrity	integrity	NOUN
fis-5061	413	21	evaluation	evaluation	NOUN
fis-5061	413	22	.	.	PUNCT
fis-5061	414	1	j.	j.	PROPN
fis-5061	414	2	manuf	manuf	PROPN
fis-5061	414	3	.	.	PUNCT
fis-5061	415	1	processes	process	NOUN
fis-5061	415	2	,	,	PUNCT
fis-5061	415	3	73	73	NUM
fis-5061	415	4	,	,	PUNCT
fis-5061	415	5	pp	pp	ADJ
fis-5061	415	6	.	.	PUNCT
fis-5061	416	1	112	112	NUM
fis-5061	416	2	-	-	SYM
fis-5061	416	3	127	127	NUM
fis-5061	416	4	.	.	PUNCT
fis-5061	417	1	doi	doi	NOUN
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fis-5061	417	4	/	/	SYM
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fis-5061	418	2	3	3	NUM
fis-5061	418	3	]	]	X
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fis-5061	418	5	,	,	PUNCT
fis-5061	418	6	j.	j.	PROPN
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fis-5061	418	14	c.k	c.k	PROPN
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fis-5061	418	18	)	)	PUNCT
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fis-5061	419	7	718	718	NUM
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fis-5061	419	9	using	use	VERB
fis-5061	419	10	novel	novel	NOUN
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fis-5061	419	12	cryo	cryo	NOUN
fis-5061	419	13	-	-	PUNCT
fis-5061	419	14	lubrication	lubrication	NOUN
fis-5061	419	15	techniques	technique	NOUN
fis-5061	419	16	.	.	PUNCT
fis-5061	420	1	tribol	tribol	PROPN
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fis-5061	421	5	,	,	PUNCT
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fis-5061	421	7	107813	107813	NUM
fis-5061	421	8	.	.	PUNCT
fis-5061	422	1	doi	doi	NOUN
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fis-5061	423	10	s.	s.	PROPN
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fis-5061	423	13	)	)	PUNCT
fis-5061	423	14	.	.	PUNCT
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fis-5061	424	2	study	study	NOUN
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fis-5061	424	6	superalloy	superalloy	NOUN
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fis-5061	424	10	:	:	PUNCT
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fis-5061	424	21	mwcnts	mwcnt	NOUN
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fis-5061	425	8	.	.	PUNCT
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fis-5061	425	10	-	-	SYM
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fis-5061	427	1	doi	doi	NOUN
fis-5061	427	2	:	:	PUNCT
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fis-5061	427	8	-	-	PUNCT
fis-5061	427	9	12	12	NUM
fis-5061	427	10	-	-	PUNCT
fis-5061	427	11	822124	822124	NUM
fis-5061	427	12	-	-	PUNCT
fis-5061	427	13	2.00008	2.00008	NUM
fis-5061	427	14	-	-	SYM
fis-5061	427	15	1	1	NUM
fis-5061	427	16	[	[	X
fis-5061	427	17	5	5	NUM
fis-5061	427	18	]	]	PUNCT
fis-5061	427	19	prabhu	prabhu	NOUN
fis-5061	427	20	,	,	PUNCT
fis-5061	427	21	s.	s.	PROPN
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fis-5061	427	23	vinayagam	vinayagam	NOUN
fis-5061	427	24	,	,	PUNCT
fis-5061	427	25	b.k	b.k	NOUN
fis-5061	427	26	.	.	PUNCT
fis-5061	427	27	(	(	PUNCT
fis-5061	427	28	2015	2015	NUM
fis-5061	427	29	)	)	PUNCT
fis-5061	427	30	.	.	PUNCT
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fis-5061	428	2	neuro	neuro	PROPN
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fis-5061	428	5	system	system	NOUN
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fis-5061	428	7	of	of	ADP
fis-5061	428	8	multi	multi	ADJ
fis-5061	428	9	-	-	ADJ
fis-5061	428	10	objective	objective	ADJ
fis-5061	428	11	optimisation	optimisation	NOUN
fis-5061	428	12	of	of	ADP
fis-5061	428	13	electrical	electrical	ADJ
fis-5061	428	14	discharge	discharge	NOUN
fis-5061	428	15	machining	machining	NOUN
fis-5061	428	16	process	process	NOUN
fis-5061	428	17	using	use	VERB
fis-5061	428	18	single	single	ADJ
fis-5061	428	19	-	-	PUNCT
fis-5061	428	20	wall	wall	NOUN
fis-5061	428	21	carbon	carbon	NOUN
fis-5061	428	22	nanotubes	nanotube	NOUN
fis-5061	428	23	.	.	PUNCT
fis-5061	429	1	aust	aust	PROPN
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fis-5061	430	1	j.	j.	PROPN
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fis-5061	431	1	eng	eng	PROPN
fis-5061	431	2	.	.	PROPN
fis-5061	431	3	,	,	PUNCT
fis-5061	431	4	13(2	13(2	PROPN
fis-5061	431	5	)	)	PUNCT
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fis-5061	432	2	-	-	SYM
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fis-5061	432	4	.	.	PUNCT
fis-5061	433	1	doi	doi	NOUN
fis-5061	433	2	:	:	PUNCT
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fis-5061	433	4	/	/	SYM
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fis-5061	433	6	-	-	NOUN
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fis-5061	434	2	6	6	NUM
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fis-5061	434	18	h.a	h.a	PROPN
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fis-5061	434	20	(	(	PUNCT
fis-5061	434	21	2021	2021	NUM
fis-5061	434	22	)	)	PUNCT
fis-5061	434	23	.	.	PUNCT
fis-5061	435	1	analysis	analysis	NOUN
fis-5061	435	2	,	,	PUNCT
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fis-5061	435	4	,	,	PUNCT
fis-5061	435	5	and	and	CCONJ
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fis-5061	435	7	-	-	ADJ
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fis-5061	435	11	machining	machining	NOUN
fis-5061	435	12	inconel	inconel	NOUN
fis-5061	435	13	718	718	NUM
fis-5061	435	14	with	with	ADP
fis-5061	435	15	nano	nano	NOUN
fis-5061	435	16	-	-	PUNCT
fis-5061	435	17	additives	additive	NOUN
fis-5061	435	18	based	base	VERB
fis-5061	435	19	minimum	minimum	ADJ
fis-5061	435	20	quantity	quantity	NOUN
fis-5061	435	21	coolant	coolant	NOUN
fis-5061	435	22	.	.	PUNCT
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fis-5061	436	2	.	.	PUNCT
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fis-5061	436	5	.	.	PUNCT
fis-5061	436	6	,	,	PUNCT
fis-5061	436	7	108	108	NUM
fis-5061	436	8	,	,	PUNCT
fis-5061	436	9	p.	p.	NOUN
fis-5061	436	10	107416	107416	NUM
fis-5061	436	11	.	.	PUNCT
fis-5061	437	1	doi	doi	NOUN
fis-5061	437	2	:	:	PUNCT
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fis-5061	437	4	/	/	SYM
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fis-5061	438	1	[	[	X
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fis-5061	438	3	]	]	PUNCT
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fis-5061	438	13	)	)	PUNCT
fis-5061	438	14	.	.	PUNCT
fis-5061	439	1	investigations	investigation	NOUN
fis-5061	439	2	on	on	ADP
fis-5061	439	3	tool	tool	NOUN
fis-5061	439	4	wear	wear	VERB
fis-5061	439	5	behavior	behavior	NOUN
fis-5061	439	6	in	in	ADP
fis-5061	439	7	turning	turn	VERB
fis-5061	439	8	aisi	aisi	PROPN
fis-5061	439	9	304	304	NUM
fis-5061	439	10	stainless	stainless	ADJ
fis-5061	439	11	steel	steel	NOUN
fis-5061	439	12	:	:	PUNCT
fis-5061	439	13	an	an	DET
fis-5061	439	14	empirical	empirical	ADJ
fis-5061	439	15	and	and	CCONJ
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fis-5061	439	17	network	network	NOUN
fis-5061	439	18	modeling	modeling	NOUN
fis-5061	439	19	approach	approach	NOUN
fis-5061	439	20	.	.	PUNCT
fis-5061	440	1	frattura	frattura	PROPN
fis-5061	440	2	ed	ed	PROPN
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fis-5061	440	5	,	,	PUNCT
fis-5061	440	6	18(67	18(67	PROPN
fis-5061	440	7	)	)	PUNCT
fis-5061	440	8	,	,	PUNCT
fis-5061	440	9	176	176	NUM
fis-5061	440	10	-	-	SYM
fis-5061	440	11	191	191	NUM
fis-5061	440	12	.	.	PUNCT
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fis-5061	441	8	et	et	PROPN
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fis-5061	441	10	,	,	PUNCT
fis-5061	441	11	frattura	frattura	PROPN
fis-5061	441	12	ed	ed	PROPN
fis-5061	441	13	integrità	integrità	PROPN
fis-5061	441	14	strutturale	strutturale	PROPN
fis-5061	441	15	,	,	PUNCT
fis-5061	441	16	70	70	NUM
fis-5061	441	17	(	(	PUNCT
fis-5061	441	18	2024	2024	NUM
fis-5061	441	19	)	)	PUNCT
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fis-5061	441	21	-	-	SYM
fis-5061	441	22	90	90	NUM
fis-5061	441	23	;	;	PUNCT
fis-5061	441	24	doi	doi	NOUN
fis-5061	441	25	:	:	PUNCT
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fis-5061	441	27	/	/	SYM
fis-5061	441	28	igf	igf	PROPN
fis-5061	441	29	-	-	PROPN
fis-5061	441	30	esis.70.04	esis.70.04	NOUN
fis-5061	441	31	89	89	NUM
fis-5061	442	1	[	[	SYM
fis-5061	442	2	8	8	NUM
fis-5061	442	3	]	]	SYM
fis-5061	442	4	elsheikh	elsheikh	PROPN
fis-5061	442	5	,	,	PUNCT
fis-5061	442	6	a.h	a.h	PROPN
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fis-5061	442	8	,	,	PUNCT
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fis-5061	442	11	t.	t.	PROPN
fis-5061	442	12	,	,	PUNCT
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fis-5061	442	14	,	,	PUNCT
fis-5061	442	15	s.	s.	PROPN
fis-5061	442	16	,	,	PUNCT
fis-5061	442	17	ibrahim	ibrahim	PROPN
fis-5061	442	18	,	,	PUNCT
fis-5061	442	19	a.m.m	a.m.m	PROPN
fis-5061	442	20	.	.	PROPN
fis-5061	442	21	,	,	PUNCT
fis-5061	442	22	ramesh	ramesh	PROPN
fis-5061	442	23	,	,	PUNCT
fis-5061	442	24	b.	b.	PROPN
fis-5061	442	25	,	,	PUNCT
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fis-5061	442	27	,	,	PUNCT
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fis-5061	442	29	.	.	PROPN
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fis-5061	442	33	r.	r.	PROPN
fis-5061	442	34	(	(	PUNCT
fis-5061	442	35	2021	2021	NUM
fis-5061	442	36	)	)	PUNCT
fis-5061	442	37	.	.	PUNCT
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fis-5061	443	2	-	-	PUNCT
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fis-5061	443	4	artificial	artificial	ADJ
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fis-5061	443	6	model	model	NOUN
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fis-5061	443	8	pigeon	pigeon	NOUN
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fis-5061	443	12	of	of	ADP
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fis-5061	443	17	of	of	ADP
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fis-5061	443	19	718	718	NUM
fis-5061	443	20	.	.	PUNCT
fis-5061	444	1	j.	j.	PROPN
fis-5061	444	2	mater	mater	PROPN
fis-5061	444	3	.	.	PUNCT
fis-5061	445	1	res	re	NOUN
fis-5061	445	2	.	.	PUNCT
fis-5061	446	1	technol	technol	PROPN
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fis-5061	446	3	,	,	PUNCT
fis-5061	446	4	15	15	NUM
fis-5061	446	5	,	,	PUNCT
fis-5061	446	6	pp	pp	ADJ
fis-5061	446	7	.	.	PUNCT
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fis-5061	447	2	-	-	SYM
fis-5061	447	3	3634	3634	NUM
fis-5061	447	4	.	.	PUNCT
fis-5061	448	1	doi	doi	NOUN
fis-5061	448	2	:	:	PUNCT
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fis-5061	448	4	/	/	SYM
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fis-5061	448	7	9	9	NUM
fis-5061	448	8	]	]	PUNCT
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fis-5061	448	10	,	,	PUNCT
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fis-5061	448	15	j.w	j.w	PROPN
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fis-5061	448	17	,	,	PUNCT
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fis-5061	448	29	)	)	PUNCT
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fis-5061	449	9	wear	wear	NOUN
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fis-5061	449	11	machining	machining	NOUN
fis-5061	449	12	process	process	NOUN
fis-5061	449	13	of	of	ADP
fis-5061	449	14	inconel	inconel	NOUN
fis-5061	449	15	718	718	NUM
fis-5061	449	16	.	.	PUNCT
fis-5061	450	1	mater	mater	NOUN
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fis-5061	453	30	)	)	PUNCT
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fis-5061	457	1	doi	doi	NOUN
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fis-5061	458	17	)	)	PUNCT
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fis-5061	462	2	-	-	SYM
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fis-5061	462	4	.	.	PUNCT
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fis-5061	463	14	]	]	PUNCT
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fis-5061	463	31	(	(	PUNCT
fis-5061	463	32	2022	2022	NUM
fis-5061	463	33	)	)	PUNCT
fis-5061	463	34	.	.	PUNCT
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fis-5061	464	6	in	in	ADP
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fis-5061	464	13	surface	surface	NOUN
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fis-5061	468	2	-	-	SYM
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fis-5061	468	4	.	.	PUNCT
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fis-5061	470	13	stir	stir	NOUN
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fis-5061	470	17	t651	t651	NUM
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fis-5061	470	19	.	.	PUNCT
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fis-5061	471	10	)	)	PUNCT
fis-5061	471	11	.	.	PUNCT
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fis-5061	474	8	.	.	PUNCT
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fis-5061	475	2	-	-	SYM
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fis-5061	475	4	.	.	PUNCT
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fis-5061	478	13	.	.	PUNCT
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fis-5061	479	2	.	.	PUNCT
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fis-5061	481	2	-	-	SYM
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fis-5061	481	4	.	.	PUNCT
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fis-5061	484	21	.	.	PUNCT
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fis-5061	485	2	.	.	PUNCT
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fis-5061	487	2	-	-	SYM
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fis-5061	487	4	.	.	PUNCT
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fis-5061	489	17	)	)	PUNCT
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fis-5061	493	2	-	-	SYM
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fis-5061	493	4	.	.	PUNCT
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fis-5061	506	21	(	(	PUNCT
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fis-5061	506	23	)	)	PUNCT
fis-5061	506	24	.	.	PUNCT
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fis-5061	507	13	gep	gep	PROPN
fis-5061	507	14	and	and	CCONJ
fis-5061	507	15	ann	ann	PROPN
fis-5061	507	16	.	.	PROPN
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fis-5061	508	2	j.	j.	PROPN
fis-5061	508	3	manuf	manuf	PROPN
fis-5061	508	4	.	.	PUNCT
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fis-5061	509	2	.	.	PROPN
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fis-5061	509	5	,	,	PUNCT
fis-5061	509	6	33	33	NUM
fis-5061	509	7	,	,	PUNCT
fis-5061	509	8	pp	pp	ADJ
fis-5061	509	9	.	.	PUNCT
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fis-5061	510	2	-	-	SYM
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fis-5061	510	4	.	.	PUNCT
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fis-5061	512	3	]	]	SYM
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fis-5061	512	5	,	,	PUNCT
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fis-5061	512	7	.	.	PROPN
fis-5061	512	8	,	,	PUNCT
fis-5061	512	9	devarasetti	devarasetti	PROPN
fis-5061	512	10	,	,	PUNCT
fis-5061	512	11	h.	h.	PROPN
fis-5061	512	12	,	,	PUNCT
fis-5061	512	13	reddy	reddy	PROPN
fis-5061	512	14	,	,	PUNCT
fis-5061	512	15	n.s	n.s	PROPN
fis-5061	512	16	.	.	PROPN
fis-5061	512	17	,	,	PUNCT
fis-5061	512	18	kotkunde	kotkunde	PROPN
fis-5061	512	19	,	,	PUNCT
fis-5061	512	20	n.	n.	NOUN
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fis-5061	512	26	(	(	PUNCT
fis-5061	512	27	2021	2021	NUM
fis-5061	512	28	)	)	PUNCT
fis-5061	512	29	.	.	PUNCT
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fis-5061	513	4	roughness	roughness	NOUN
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fis-5061	513	6	wire	wire	NOUN
fis-5061	513	7	electrical	electrical	ADJ
fis-5061	513	8	discharge	discharge	NOUN
fis-5061	513	9	machining	machining	NOUN
fis-5061	513	10	of	of	ADP
fis-5061	513	11	inconel	inconel	NOUN
fis-5061	513	12	718	718	NUM
fis-5061	513	13	using	use	VERB
fis-5061	513	14	artificial	artificial	ADJ
fis-5061	513	15	neural	neural	ADJ
fis-5061	513	16	network	network	NOUN
fis-5061	513	17	.	.	PUNCT
fis-5061	514	1	mater	mater	NOUN
fis-5061	514	2	.	.	PUNCT
fis-5061	515	1	today	today	NOUN
fis-5061	515	2	proc	proc	PROPN
fis-5061	515	3	.	.	PROPN
fis-5061	515	4	,	,	PUNCT
fis-5061	515	5	38	38	NUM
fis-5061	515	6	,	,	PUNCT
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fis-5061	515	8	.	.	PUNCT
fis-5061	516	1	31423148	31423148	NUM
fis-5061	516	2	.	.	PUNCT
fis-5061	517	1	doi	doi	NOUN
fis-5061	517	2	:	:	PUNCT
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fis-5061	517	4	/	/	SYM
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fis-5061	518	3	]	]	X
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fis-5061	518	5	,	,	PUNCT
fis-5061	518	6	c.	c.	PROPN
fis-5061	518	7	,	,	PUNCT
fis-5061	518	8	muthu	muthu	PROPN
fis-5061	518	9	,	,	PUNCT
fis-5061	518	10	s.	s.	PROPN
fis-5061	518	11	and	and	CCONJ
fis-5061	518	12	karuppuswamy	karuppuswamy	PROPN
fis-5061	518	13	,	,	PUNCT
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fis-5061	518	15	(	(	PUNCT
fis-5061	518	16	2012	2012	NUM
fis-5061	518	17	)	)	PUNCT
fis-5061	518	18	.	.	PUNCT
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fis-5061	519	2	of	of	ADP
fis-5061	519	3	cutting	cut	VERB
fis-5061	519	4	parameters	parameter	NOUN
fis-5061	519	5	of	of	ADP
fis-5061	519	6	surface	surface	NOUN
fis-5061	519	7	roughness	roughness	NOUN
fis-5061	519	8	for	for	ADP
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fis-5061	519	12	neural	neural	ADJ
fis-5061	519	13	networks	network	NOUN
fis-5061	519	14	in	in	ADP
fis-5061	519	15	computer	computer	NOUN
fis-5061	519	16	numerical	numerical	PROPN
fis-5061	519	17	control	control	PROPN
fis-5061	519	18	turning	turning	PROPN
fis-5061	519	19	.	.	PUNCT
fis-5061	520	1	aust	aust	PROPN
fis-5061	520	2	.	.	PUNCT
fis-5061	521	1	j.	j.	PROPN
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fis-5061	521	3	.	.	PUNCT
fis-5061	522	1	eng	eng	PROPN
fis-5061	522	2	.	.	PROPN
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fis-5061	522	4	9(1	9(1	NUM
fis-5061	522	5	)	)	PUNCT
fis-5061	522	6	,	,	PUNCT
fis-5061	522	7	pp	pp	PROPN
fis-5061	522	8	.	.	PUNCT
fis-5061	523	1	35	35	NUM
fis-5061	523	2	-	-	SYM
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fis-5061	523	4	.	.	PUNCT
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fis-5061	523	6	:	:	PUNCT
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fis-5061	523	9	23	23	NUM
fis-5061	523	10	]	]	X
fis-5061	523	11	abhilash	abhilash	PROPN
fis-5061	523	12	,	,	PUNCT
fis-5061	523	13	p.m.	p.m.	NOUN
fis-5061	523	14	and	and	CCONJ
fis-5061	523	15	chakradhar	chakradhar	ADJ
fis-5061	523	16	,	,	PUNCT
fis-5061	523	17	d.	d.	PROPN
fis-5061	523	18	(	(	PUNCT
fis-5061	523	19	2020	2020	NUM
fis-5061	523	20	)	)	PUNCT
fis-5061	523	21	.	.	PUNCT
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fis-5061	524	2	and	and	CCONJ
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fis-5061	524	4	of	of	ADP
fis-5061	524	5	process	process	NOUN
fis-5061	524	6	failures	failure	NOUN
fis-5061	524	7	by	by	ADP
fis-5061	524	8	ann	ann	PROPN
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fis-5061	524	16	718	718	NUM
fis-5061	524	17	.	.	PUNCT
fis-5061	525	1	adv	adv	PROPN
fis-5061	525	2	.	.	PUNCT
fis-5061	525	3	manuf	manuf	PROPN
fis-5061	525	4	.	.	PROPN
fis-5061	525	5	,	,	PUNCT
fis-5061	525	6	8	8	NUM
fis-5061	525	7	,	,	PUNCT
fis-5061	525	8	pp	pp	ADJ
fis-5061	525	9	.	.	PUNCT
fis-5061	526	1	519	519	NUM
fis-5061	526	2	-	-	SYM
fis-5061	526	3	536	536	NUM
fis-5061	526	4	.	.	PUNCT
fis-5061	527	1	doi	doi	NOUN
fis-5061	527	2	:	:	PUNCT
fis-5061	527	3	10.1007	10.1007	NUM
fis-5061	527	4	/	/	SYM
fis-5061	527	5	s40436	s40436	PROPN
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fis-5061	527	7	020	020	NUM
fis-5061	527	8	-	-	PUNCT
fis-5061	527	9	00327	00327	NUM
fis-5061	527	10	-	-	PUNCT
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fis-5061	528	1	[	[	X
fis-5061	528	2	24	24	NUM
fis-5061	528	3	]	]	SYM
fis-5061	528	4	yusoff	yusoff	NOUN
fis-5061	528	5	,	,	PUNCT
fis-5061	528	6	y.	y.	PROPN
fis-5061	528	7	,	,	PUNCT
fis-5061	528	8	mohd	mohd	PROPN
fis-5061	528	9	zain	zain	PROPN
fis-5061	528	10	,	,	PUNCT
fis-5061	528	11	a.	a.	PROPN
fis-5061	528	12	,	,	PUNCT
fis-5061	528	13	sharif	sharif	PROPN
fis-5061	528	14	,	,	PUNCT
fis-5061	528	15	s.	s.	PROPN
fis-5061	528	16	,	,	PUNCT
fis-5061	528	17	sallehuddin	sallehuddin	PROPN
fis-5061	528	18	,	,	PUNCT
fis-5061	528	19	r.	r.	PROPN
fis-5061	528	20	and	and	CCONJ
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fis-5061	528	22	,	,	PUNCT
fis-5061	528	23	m.s	m.s	PROPN
fis-5061	528	24	.	.	PROPN
fis-5061	529	1	(	(	PUNCT
fis-5061	529	2	2018	2018	NUM
fis-5061	529	3	)	)	PUNCT
fis-5061	529	4	.	.	PUNCT
fis-5061	530	1	potential	potential	ADJ
fis-5061	530	2	ann	ann	PROPN
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fis-5061	530	4	model	model	NOUN
fis-5061	530	5	for	for	ADP
fis-5061	530	6	multiperformances	multiperformance	NOUN
fis-5061	530	7	wedm	wedm	NOUN
fis-5061	530	8	on	on	ADP
fis-5061	530	9	inconel	inconel	NOUN
fis-5061	530	10	718	718	NUM
fis-5061	530	11	.	.	PUNCT
fis-5061	530	12	neural	neural	ADJ
fis-5061	530	13	comput	comput	NOUN
fis-5061	530	14	.	.	PUNCT
fis-5061	531	1	appl	appl	PROPN
fis-5061	531	2	.	.	PROPN
fis-5061	531	3	,	,	PUNCT
fis-5061	531	4	30	30	NUM
fis-5061	531	5	,	,	PUNCT
fis-5061	531	6	pp	pp	ADJ
fis-5061	531	7	.	.	PUNCT
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fis-5061	532	2	-	-	SYM
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fis-5061	532	4	.	.	PUNCT
fis-5061	533	1	doi	doi	NOUN
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fis-5061	533	6	-	-	PUNCT
fis-5061	533	7	016	016	NUM
fis-5061	533	8	-	-	PUNCT
fis-5061	533	9	2796	2796	NUM
fis-5061	533	10	-	-	SYM
fis-5061	533	11	4	4	NUM
fis-5061	534	1	[	[	X
fis-5061	534	2	25	25	NUM
fis-5061	534	3	]	]	PUNCT
fis-5061	534	4	hewidy	hewidy	ADJ
fis-5061	534	5	,	,	PUNCT
fis-5061	534	6	m.	m.	NOUN
fis-5061	534	7	and	and	CCONJ
fis-5061	534	8	salem	salem	NOUN
fis-5061	534	9	,	,	PUNCT
fis-5061	534	10	o.	o.	PROPN
fis-5061	534	11	(	(	PUNCT
fis-5061	534	12	2023	2023	NUM
fis-5061	534	13	)	)	PUNCT
fis-5061	534	14	.	.	PUNCT
fis-5061	535	1	integrating	integrate	VERB
fis-5061	535	2	experimental	experimental	ADJ
fis-5061	535	3	modeling	modeling	NOUN
fis-5061	535	4	techniques	technique	NOUN
fis-5061	535	5	with	with	ADP
fis-5061	535	6	the	the	DET
fis-5061	535	7	pareto	pareto	ADJ
fis-5061	535	8	search	search	NOUN
fis-5061	535	9	algorithm	algorithm	NOUN
fis-5061	535	10	for	for	ADP
fis-5061	535	11	multiobjective	multiobjective	ADJ
fis-5061	535	12	optimization	optimization	NOUN
fis-5061	535	13	in	in	ADP
fis-5061	535	14	the	the	DET
fis-5061	535	15	wedm	wedm	NOUN
fis-5061	535	16	of	of	ADP
fis-5061	535	17	inconel	inconel	NOUN
fis-5061	535	18	718	718	NUM
fis-5061	535	19	.	.	PUNCT
fis-5061	536	1	int	int	NOUN
fis-5061	536	2	.	.	PUNCT
fis-5061	537	1	j.	j.	PROPN
fis-5061	537	2	adv	adv	PROPN
fis-5061	537	3	.	.	PUNCT
fis-5061	538	1	manuf	manuf	PROPN
fis-5061	538	2	.	.	PUNCT
fis-5061	539	1	technol	technol	PROPN
fis-5061	539	2	.	.	PROPN
fis-5061	539	3	,	,	PUNCT
fis-5061	539	4	129(1	129(1	NUM
fis-5061	539	5	-	-	SYM
fis-5061	539	6	2	2	NUM
fis-5061	539	7	)	)	PUNCT
fis-5061	539	8	,	,	PUNCT
fis-5061	539	9	pp	pp	PROPN
fis-5061	539	10	.	.	PUNCT
fis-5061	540	1	299	299	NUM
fis-5061	540	2	-	-	SYM
fis-5061	540	3	319	319	NUM
fis-5061	540	4	.	.	PUNCT
fis-5061	541	1	doi	doi	NOUN
fis-5061	541	2	:	:	PUNCT
fis-5061	541	3	10.1007	10.1007	NUM
fis-5061	541	4	/	/	SYM
fis-5061	541	5	s00170	s00170	PROPN
fis-5061	541	6	-	-	PUNCT
fis-5061	541	7	023	023	NUM
fis-5061	541	8	-	-	PUNCT
fis-5061	541	9	12200	12200	NUM
fis-5061	541	10	-	-	SYM
fis-5061	541	11	8	8	NUM
fis-5061	541	12	[	[	SYM
fis-5061	541	13	26	26	NUM
fis-5061	541	14	]	]	X
fis-5061	541	15	sen	sen	PROPN
fis-5061	541	16	,	,	PUNCT
fis-5061	541	17	b.	b.	PROPN
fis-5061	541	18	,	,	PUNCT
fis-5061	541	19	mia	mia	PROPN
fis-5061	541	20	,	,	PUNCT
fis-5061	541	21	m.	m.	NOUN
fis-5061	541	22	,	,	PUNCT
fis-5061	541	23	mandal	mandal	PROPN
fis-5061	541	24	,	,	PUNCT
fis-5061	541	25	u.	u.	PROPN
fis-5061	541	26	k.	k.	PROPN
fis-5061	541	27	and	and	CCONJ
fis-5061	541	28	mondal	mondal	PROPN
fis-5061	541	29	,	,	PUNCT
fis-5061	541	30	s.	s.	PROPN
fis-5061	541	31	p.	p.	PROPN
fis-5061	541	32	(	(	PUNCT
fis-5061	541	33	2019	2019	NUM
fis-5061	541	34	)	)	PUNCT
fis-5061	541	35	.	.	PUNCT
fis-5061	542	1	gep	gep	PROPN
fis-5061	542	2	-	-	PUNCT
fis-5061	542	3	and	and	CCONJ
fis-5061	542	4	ann	ann	PROPN
fis-5061	542	5	-	-	PUNCT
fis-5061	542	6	based	base	VERB
fis-5061	542	7	tool	tool	NOUN
fis-5061	542	8	wear	wear	VERB
fis-5061	542	9	monitoring	monitoring	NOUN
fis-5061	542	10	:	:	PUNCT
fis-5061	542	11	a	a	DET
fis-5061	542	12	virtually	virtually	ADV
fis-5061	542	13	sensing	sense	VERB
fis-5061	542	14	predictive	predictive	ADJ
fis-5061	542	15	platform	platform	NOUN
fis-5061	542	16	for	for	ADP
fis-5061	542	17	mql	mql	NOUN
fis-5061	542	18	-	-	PUNCT
fis-5061	542	19	assisted	assist	VERB
fis-5061	542	20	milling	milling	NOUN
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fis-5061	542	22	inconel	inconel	NOUN
fis-5061	542	23	690	690	NUM
fis-5061	542	24	.	.	PUNCT
fis-5061	543	1	int	int	NOUN
fis-5061	543	2	.	.	PUNCT
fis-5061	544	1	j.	j.	PROPN
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fis-5061	544	3	.	.	PUNCT
fis-5061	545	1	manuf	manuf	PROPN
fis-5061	545	2	.	.	PUNCT
fis-5061	546	1	technol	technol	PROPN
fis-5061	546	2	.	.	PROPN
fis-5061	546	3	,	,	PUNCT
fis-5061	546	4	105	105	NUM
fis-5061	546	5	,	,	PUNCT
fis-5061	546	6	pp	pp	ADJ
fis-5061	546	7	.	.	PUNCT
fis-5061	547	1	395	395	NUM
fis-5061	547	2	-	-	SYM
fis-5061	547	3	410	410	NUM
fis-5061	547	4	.	.	PUNCT
fis-5061	548	1	doi	doi	NOUN
fis-5061	548	2	:	:	PUNCT
fis-5061	548	3	10.1007	10.1007	NUM
fis-5061	548	4	/	/	SYM
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fis-5061	548	6	-	-	PUNCT
fis-5061	548	7	019	019	NUM
fis-5061	548	8	-	-	PUNCT
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fis-5061	548	10	-	-	PUNCT
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fis-5061	549	1	[	[	X
fis-5061	549	2	27	27	NUM
fis-5061	549	3	]	]	X
fis-5061	549	4	kumar	kumar	PROPN
fis-5061	549	5	,	,	PUNCT
fis-5061	549	6	a.	a.	NOUN
fis-5061	549	7	and	and	CCONJ
fis-5061	549	8	pradhan	pradhan	PROPN
fis-5061	549	9	,	,	PUNCT
fis-5061	549	10	m.k	m.k	PROPN
fis-5061	549	11	.	.	PUNCT
fis-5061	549	12	(	(	PUNCT
fis-5061	549	13	2023	2023	NUM
fis-5061	549	14	)	)	PUNCT
fis-5061	549	15	.	.	PUNCT
fis-5061	550	1	an	an	DET
fis-5061	550	2	anfis	anfis	ADJ
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fis-5061	550	4	and	and	CCONJ
fis-5061	550	5	genetic	genetic	ADJ
fis-5061	550	6	algorithm	algorithm	NOUN
fis-5061	550	7	-	-	PUNCT
fis-5061	550	8	based	base	VERB
fis-5061	550	9	optimization	optimization	NOUN
fis-5061	550	10	of	of	ADP
fis-5061	550	11	through	through	ADP
fis-5061	550	12	-	-	PUNCT
fis-5061	550	13	hole	hole	NOUN
fis-5061	550	14	electrical	electrical	ADJ
fis-5061	550	15	discharge	discharge	NOUN
fis-5061	550	16	drilling	drilling	NOUN
fis-5061	550	17	of	of	ADP
fis-5061	550	18	inconel-825	inconel-825	PROPN
fis-5061	550	19	alloy	alloy	NOUN
fis-5061	550	20	.	.	PUNCT
fis-5061	551	1	j.	j.	PROPN
fis-5061	551	2	mater	mater	PROPN
fis-5061	551	3	.	.	PUNCT
fis-5061	552	1	res	re	NOUN
fis-5061	552	2	.	.	PROPN
fis-5061	552	3	,	,	PUNCT
fis-5061	552	4	38(2	38(2	NOUN
fis-5061	552	5	)	)	PUNCT
fis-5061	552	6	,	,	PUNCT
fis-5061	552	7	pp	pp	ADP
fis-5061	552	8	.	.	PUNCT
fis-5061	553	1	312	312	NUM
fis-5061	553	2	-	-	SYM
fis-5061	553	3	327	327	NUM
fis-5061	553	4	.	.	PUNCT
fis-5061	554	1	doi	doi	NOUN
fis-5061	554	2	:	:	PUNCT
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fis-5061	554	4	/	/	SYM
fis-5061	554	5	s43578	s43578	PROPN
fis-5061	554	6	-	-	PUNCT
fis-5061	554	7	022	022	NUM
fis-5061	554	8	-	-	PUNCT
fis-5061	554	9	00728	00728	NUM
fis-5061	554	10	-	-	PUNCT
fis-5061	554	11	6	6	NUM
fis-5061	554	12	[	[	SYM
fis-5061	554	13	28	28	NUM
fis-5061	554	14	]	]	X
fis-5061	554	15	premnath	premnath	NOUN
fis-5061	554	16	,	,	PUNCT
fis-5061	554	17	a.a	a.a	PROPN
fis-5061	554	18	.	.	PROPN
fis-5061	554	19	,	,	PUNCT
fis-5061	554	20	alwarsamy	alwarsamy	NOUN
fis-5061	554	21	,	,	PUNCT
fis-5061	554	22	t.	t.	PROPN
fis-5061	554	23	and	and	CCONJ
fis-5061	554	24	sugapriya	sugapriya	PROPN
fis-5061	554	25	,	,	PUNCT
fis-5061	554	26	k.	k.	PROPN
fis-5061	554	27	(	(	PUNCT
fis-5061	554	28	2014	2014	NUM
fis-5061	554	29	)	)	PUNCT
fis-5061	554	30	.	.	PUNCT
fis-5061	555	1	a	a	DET
fis-5061	555	2	comparative	comparative	ADJ
fis-5061	555	3	analysis	analysis	NOUN
fis-5061	555	4	of	of	ADP
fis-5061	555	5	tool	tool	NOUN
fis-5061	555	6	wear	wear	VERB
fis-5061	555	7	prediction	prediction	NOUN
fis-5061	555	8	using	use	VERB
fis-5061	555	9	response	response	NOUN
fis-5061	555	10	surface	surface	NOUN
fis-5061	555	11	methodology	methodology	NOUN
fis-5061	555	12	and	and	CCONJ
fis-5061	555	13	artificial	artificial	ADJ
fis-5061	555	14	neural	neural	ADJ
fis-5061	555	15	networks	network	NOUN
fis-5061	555	16	.	.	PUNCT
fis-5061	556	1	aust	aust	PROPN
fis-5061	556	2	.	.	PUNCT
fis-5061	557	1	j.	j.	PROPN
fis-5061	557	2	mech	mech	PROPN
fis-5061	557	3	.	.	PUNCT
fis-5061	558	1	eng	eng	PROPN
fis-5061	558	2	.	.	PROPN
fis-5061	558	3	,	,	PUNCT
fis-5061	558	4	12(1	12(1	NUM
fis-5061	558	5	)	)	PUNCT
fis-5061	558	6	,	,	PUNCT
fis-5061	558	7	pp	pp	PROPN
fis-5061	558	8	.	.	PUNCT
fis-5061	559	1	38	38	NUM
fis-5061	559	2	-	-	SYM
fis-5061	559	3	48	48	NUM
fis-5061	559	4	.	.	PUNCT
fis-5061	560	1	doi	doi	NOUN
fis-5061	560	2	:	:	PUNCT
fis-5061	560	3	10.7158	10.7158	NUM
fis-5061	560	4	/	/	SYM
fis-5061	560	5	m12	m12	PROPN
fis-5061	560	6	-	-	PUNCT
fis-5061	560	7	075.2014.12.1	075.2014.12.1	NUM
fis-5061	560	8	p.	p.	NOUN
fis-5061	560	9	kulkarni	kulkarni	PROPN
fis-5061	560	10	et	et	PROPN
fis-5061	560	11	alii	alii	PROPN
fis-5061	560	12	,	,	PUNCT
fis-5061	560	13	frattura	frattura	PROPN
fis-5061	560	14	ed	ed	PROPN
fis-5061	560	15	integrità	integrità	PROPN
fis-5061	560	16	strutturale	strutturale	PROPN
fis-5061	560	17	,	,	PUNCT
fis-5061	560	18	70	70	NUM
fis-5061	560	19	(	(	PUNCT
fis-5061	560	20	2024	2024	NUM
fis-5061	560	21	)	)	PUNCT
fis-5061	560	22	71	71	NUM
fis-5061	560	23	-	-	SYM
fis-5061	560	24	90	90	NUM
fis-5061	560	25	;	;	PUNCT
fis-5061	560	26	doi	doi	NOUN
fis-5061	560	27	:	:	PUNCT
fis-5061	560	28	10.3221	10.3221	NUM
fis-5061	560	29	/	/	SYM
fis-5061	560	30	igf	igf	PROPN
fis-5061	560	31	-	-	PROPN
fis-5061	560	32	esis.70.04	esis.70.04	NOUN
fis-5061	560	33	90	90	NUM
fis-5061	561	1	[	[	SYM
fis-5061	561	2	29	29	NUM
fis-5061	561	3	]	]	X
fis-5061	561	4	babu	babu	PROPN
fis-5061	561	5	,	,	PUNCT
fis-5061	561	6	k.n	k.n	PROPN
fis-5061	561	7	.	.	PROPN
fis-5061	561	8	,	,	PUNCT
fis-5061	561	9	karthikeyan	karthikeyan	PROPN
fis-5061	561	10	,	,	PUNCT
fis-5061	561	11	r.	r.	PROPN
fis-5061	561	12	and	and	CCONJ
fis-5061	561	13	punitha	punitha	NOUN
fis-5061	561	14	,	,	PUNCT
fis-5061	561	15	a.	a.	NOUN
fis-5061	561	16	(	(	PUNCT
fis-5061	561	17	2019	2019	NUM
fis-5061	561	18	)	)	PUNCT
fis-5061	561	19	.	.	PUNCT
fis-5061	562	1	an	an	DET
fis-5061	562	2	integrated	integrate	VERB
fis-5061	562	3	ann	ann	PROPN
fis-5061	562	4	–	–	PUNCT
fis-5061	562	5	pso	pso	NOUN
fis-5061	562	6	approach	approach	NOUN
fis-5061	562	7	to	to	PART
fis-5061	562	8	optimize	optimize	VERB
fis-5061	562	9	the	the	DET
fis-5061	562	10	material	material	NOUN
fis-5061	562	11	removal	removal	NOUN
fis-5061	562	12	rate	rate	NOUN
fis-5061	562	13	and	and	CCONJ
fis-5061	562	14	surface	surface	NOUN
fis-5061	562	15	roughness	roughness	NOUN
fis-5061	562	16	of	of	ADP
fis-5061	562	17	wire	wire	NOUN
fis-5061	562	18	cut	cut	VERB
fis-5061	562	19	edm	edm	PROPN
fis-5061	562	20	on	on	ADP
fis-5061	562	21	inconel	inconel	NOUN
fis-5061	562	22	750	750	NUM
fis-5061	562	23	.	.	PUNCT
fis-5061	563	1	mater	mater	NOUN
fis-5061	563	2	.	.	PUNCT
fis-5061	564	1	today	today	NOUN
fis-5061	564	2	proc	proc	PROPN
fis-5061	564	3	.	.	PROPN
fis-5061	564	4	,	,	PUNCT
fis-5061	564	5	19	19	NUM
fis-5061	564	6	,	,	PUNCT
fis-5061	564	7	pp	pp	ADJ
fis-5061	564	8	.	.	PUNCT
fis-5061	565	1	501	501	NUM
fis-5061	565	2	-	-	SYM
fis-5061	565	3	505	505	NUM
fis-5061	565	4	.	.	PUNCT
fis-5061	566	1	doi	doi	NOUN
fis-5061	566	2	:	:	PUNCT
fis-5061	566	3	10.1016	10.1016	NUM
fis-5061	566	4	/	/	SYM
fis-5061	566	5	j.matpr.2019.07.643	j.matpr.2019.07.643	X
fis-5061	567	1	[	[	X
fis-5061	567	2	30	30	NUM
fis-5061	567	3	]	]	X
fis-5061	567	4	sada	sada	PROPN
fis-5061	567	5	,	,	PUNCT
fis-5061	567	6	s.o	s.o	PROPN
fis-5061	567	7	.	.	PROPN
fis-5061	567	8	and	and	CCONJ
fis-5061	567	9	ikpeseni	ikpeseni	PROPN
fis-5061	567	10	,	,	PUNCT
fis-5061	567	11	s.c	s.c	PROPN
fis-5061	567	12	.	.	PROPN
fis-5061	567	13	(	(	PUNCT
fis-5061	567	14	2021	2021	NUM
fis-5061	567	15	)	)	PUNCT
fis-5061	567	16	.	.	PUNCT
fis-5061	568	1	evaluation	evaluation	NOUN
fis-5061	568	2	of	of	ADP
fis-5061	568	3	ann	ann	PROPN
fis-5061	568	4	and	and	CCONJ
fis-5061	568	5	anfis	anfi	VERB
fis-5061	568	6	modeling	modeling	NOUN
fis-5061	568	7	ability	ability	NOUN
fis-5061	568	8	in	in	ADP
fis-5061	568	9	the	the	DET
fis-5061	568	10	prediction	prediction	NOUN
fis-5061	568	11	of	of	ADP
fis-5061	568	12	aisi	aisi	PROPN
fis-5061	568	13	1050	1050	NUM
fis-5061	568	14	steel	steel	NOUN
fis-5061	568	15	machining	machining	NOUN
fis-5061	568	16	performance	performance	NOUN
fis-5061	568	17	.	.	PUNCT
fis-5061	569	1	heliyon	heliyon	NOUN
fis-5061	569	2	,	,	PUNCT
fis-5061	569	3	7(2	7(2	NUM
fis-5061	569	4	)	)	PUNCT
fis-5061	569	5	.	.	PUNCT
fis-5061	570	1	doi	doi	NOUN
fis-5061	570	2	:	:	PUNCT
fis-5061	570	3	10.1016	10.1016	NUM
fis-5061	570	4	/	/	SYM
fis-5061	570	5	j.heliyon.2021.e06136	j.heliyon.2021.e06136	NOUN
fis-5061	571	1	[	[	X
fis-5061	571	2	31	31	NUM
fis-5061	571	3	]	]	PUNCT
fis-5061	571	4	kulkarni	kulkarni	PROPN
fis-5061	571	5	,	,	PUNCT
fis-5061	571	6	p.	p.	NOUN
fis-5061	571	7	and	and	CCONJ
fis-5061	571	8	chinchanikar	chinchanikar	PROPN
fis-5061	571	9	,	,	PUNCT
fis-5061	571	10	s.	s.	PROPN
fis-5061	571	11	(	(	PUNCT
fis-5061	571	12	2024	2024	NUM
fis-5061	571	13	)	)	PUNCT
fis-5061	571	14	.	.	PUNCT
fis-5061	572	1	machining	machining	NOUN
fis-5061	572	2	effects	effect	NOUN
fis-5061	572	3	and	and	CCONJ
fis-5061	572	4	multi	multi	ADJ
fis-5061	572	5	-	-	ADJ
fis-5061	572	6	objective	objective	ADJ
fis-5061	572	7	optimization	optimization	NOUN
fis-5061	572	8	in	in	ADP
fis-5061	572	9	inconel	inconel	NOUN
fis-5061	572	10	718	718	NUM
fis-5061	572	11	turning	turn	VERB
fis-5061	572	12	with	with	ADP
fis-5061	572	13	unitary	unitary	ADJ
fis-5061	572	14	and	and	CCONJ
fis-5061	572	15	hybrid	hybrid	ADJ
fis-5061	572	16	nanofluids	nanofluid	NOUN
fis-5061	572	17	under	under	ADP
fis-5061	572	18	mql	mql	PROPN
fis-5061	572	19	.	.	PROPN
fis-5061	573	1	frattura	frattura	PROPN
fis-5061	573	2	ed	ed	PROPN
fis-5061	573	3	integrità	integrità	PROPN
fis-5061	573	4	strutturale	strutturale	PROPN
fis-5061	573	5	,	,	PUNCT
fis-5061	573	6	(	(	PUNCT
fis-5061	573	7	68	68	NUM
fis-5061	573	8	)	)	PUNCT
fis-5061	573	9	.	.	PUNCT
fis-5061	574	1	doi	doi	NOUN
fis-5061	574	2	:	:	PUNCT
fis-5061	574	3	doi:10.3221	doi:10.3221	NOUN
fis-5061	574	4	/	/	SYM
fis-5061	574	5	igf	igf	PROPN
fis-5061	574	6	-	-	NOUN
fis-5061	574	7	esis.68.15	esis.68.15	NOUN
fis-5061	575	1	[	[	X
fis-5061	575	2	32	32	NUM
fis-5061	575	3	]	]	PUNCT
fis-5061	575	4	kulkarni	kulkarni	PROPN
fis-5061	575	5	,	,	PUNCT
fis-5061	575	6	p.	p.	NOUN
fis-5061	575	7	and	and	CCONJ
fis-5061	575	8	chinchanikar	chinchanikar	PROPN
fis-5061	575	9	,	,	PUNCT
fis-5061	575	10	s.	s.	PROPN
fis-5061	575	11	(	(	PUNCT
fis-5061	575	12	2024	2024	NUM
fis-5061	575	13	)	)	PUNCT
fis-5061	575	14	.	.	PUNCT
fis-5061	576	1	machinability	machinability	NOUN
fis-5061	576	2	of	of	ADP
fis-5061	576	3	inconel	inconel	NOUN
fis-5061	576	4	718	718	NUM
fis-5061	576	5	using	use	VERB
fis-5061	576	6	unitary	unitary	ADJ
fis-5061	576	7	and	and	CCONJ
fis-5061	576	8	hybrid	hybrid	ADJ
fis-5061	576	9	nanofluids	nanofluid	NOUN
fis-5061	576	10	under	under	ADP
fis-5061	576	11	minimum	minimum	ADJ
fis-5061	576	12	quantity	quantity	NOUN
fis-5061	576	13	lubrication	lubrication	NOUN
fis-5061	576	14	.	.	PUNCT
fis-5061	577	1	adv	adv	PROPN
fis-5061	577	2	.	.	PUNCT
fis-5061	577	3	mater	mater	PROPN
fis-5061	577	4	.	.	PUNCT
fis-5061	577	5	process	process	NOUN
fis-5061	577	6	.	.	PUNCT
fis-5061	578	1	technol	technol	PROPN
fis-5061	578	2	.	.	PROPN
fis-5061	578	3	,	,	PUNCT
fis-5061	579	1	pp	pp	PROPN
fis-5061	579	2	.	.	PUNCT
fis-5061	580	1	1	1	NUM
fis-5061	580	2	-	-	SYM
fis-5061	580	3	29	29	NUM
fis-5061	580	4	.	.	PUNCT
fis-5061	581	1	doi	doi	NOUN
fis-5061	581	2	:	:	PUNCT
fis-5061	581	3	10.1080/10426914.2020.1711924	10.1080/10426914.2020.1711924	NUM
fis-5061	582	1	[	[	X
fis-5061	582	2	33	33	NUM
fis-5061	582	3	]	]	X
fis-5061	582	4	solyali	solyali	PROPN
fis-5061	582	5	,	,	PUNCT
fis-5061	582	6	d.	d.	PROPN
fis-5061	582	7	(	(	PUNCT
fis-5061	582	8	2020	2020	NUM
fis-5061	582	9	)	)	PUNCT
fis-5061	582	10	.	.	PUNCT
fis-5061	583	1	a	a	DET
fis-5061	583	2	comparative	comparative	ADJ
fis-5061	583	3	analysis	analysis	NOUN
fis-5061	583	4	of	of	ADP
fis-5061	583	5	machine	machine	NOUN
fis-5061	583	6	learning	learn	VERB
fis-5061	583	7	approaches	approach	NOUN
fis-5061	583	8	for	for	ADP
fis-5061	583	9	short-/longterm	short-/longterm	NOUN
fis-5061	583	10	electricity	electricity	NOUN
fis-5061	583	11	load	load	NOUN
fis-5061	583	12	forecasting	forecasting	NOUN
fis-5061	583	13	in	in	ADP
fis-5061	583	14	cyprus	cyprus	PROPN
fis-5061	583	15	.	.	PUNCT
fis-5061	584	1	sustainability	sustainability	NOUN
fis-5061	584	2	,	,	PUNCT
fis-5061	584	3	12(9	12(9	NUM
fis-5061	584	4	)	)	PUNCT
fis-5061	584	5	,	,	PUNCT
fis-5061	584	6	p.	p.	NOUN
fis-5061	584	7	3612	3612	NUM
fis-5061	584	8	.	.	PUNCT
fis-5061	585	1	doi	doi	NOUN
fis-5061	585	2	:	:	PUNCT
fis-5061	585	3	10.3390	10.3390	NUM
fis-5061	585	4	/	/	SYM
fis-5061	585	5	su12093612	su12093612	NOUN
fis-5061	585	6	[	[	X
fis-5061	585	7	34	34	NUM
fis-5061	585	8	]	]	X
fis-5061	585	9	wen	wen	PROPN
fis-5061	585	10	,	,	PUNCT
fis-5061	585	11	l.	l.	PROPN
fis-5061	585	12	,	,	PUNCT
fis-5061	585	13	ye	ye	PROPN
fis-5061	585	14	,	,	PUNCT
fis-5061	585	15	x.	x.	NOUN
fis-5061	585	16	and	and	CCONJ
fis-5061	585	17	gao	gao	PROPN
fis-5061	585	18	,	,	PUNCT
fis-5061	585	19	l.	l.	PROPN
fis-5061	585	20	(	(	PUNCT
fis-5061	585	21	2020	2020	NUM
fis-5061	585	22	)	)	PUNCT
fis-5061	585	23	.	.	PUNCT
fis-5061	586	1	a	a	DET
fis-5061	586	2	new	new	ADJ
fis-5061	586	3	automatic	automatic	ADJ
fis-5061	586	4	machine	machine	NOUN
fis-5061	586	5	learning	learning	NOUN
fis-5061	586	6	based	base	VERB
fis-5061	586	7	hyperparameter	hyperparameter	NOUN
fis-5061	586	8	optimization	optimization	NOUN
fis-5061	586	9	for	for	ADP
fis-5061	586	10	workpiece	workpiece	NOUN
fis-5061	586	11	quality	quality	NOUN
fis-5061	586	12	prediction	prediction	NOUN
fis-5061	586	13	.	.	PUNCT
fis-5061	587	1	meas	meas	PROPN
fis-5061	587	2	.	.	PUNCT
fis-5061	588	1	control	control	PROPN
fis-5061	588	2	,	,	PUNCT
fis-5061	588	3	53(7	53(7	NUM
fis-5061	588	4	-	-	SYM
fis-5061	588	5	8)	8)	NUM
fis-5061	588	6	,	,	PUNCT
fis-5061	588	7	pp	pp	ADJ
fis-5061	588	8	.	.	PUNCT
fis-5061	589	1	1088	1088	NUM
fis-5061	589	2	-	-	SYM
fis-5061	589	3	1098	1098	NUM
fis-5061	589	4	.	.	PUNCT
fis-5061	590	1	doi	doi	NOUN
fis-5061	590	2	:	:	PUNCT
fis-5061	590	3	10.1177/002029402093234	10.1177/002029402093234	NUM
fis-5061	590	4	nomenclature	nomenclature	ADJ
fis-5061	590	5	al2o3	al2o3	PROPN
fis-5061	590	6	:	:	PUNCT
fis-5061	590	7	aluminum	aluminum	NOUN
fis-5061	590	8	oxide	oxide	NOUN
fis-5061	590	9	ann	ann	PROPN
fis-5061	590	10	:	:	PUNCT
fis-5061	590	11	artificial	artificial	ADJ
fis-5061	590	12	neural	neural	ADJ
fis-5061	590	13	networks	network	NOUN
fis-5061	590	14	anfis	anfi	VERB
fis-5061	590	15	:	:	PUNCT
fis-5061	590	16	adaptive	adaptive	ADJ
fis-5061	590	17	neuro	neuro	NOUN
fis-5061	590	18	-	-	PUNCT
fis-5061	590	19	fuzzy	fuzzy	ADJ
fis-5061	590	20	inference	inference	NOUN
fis-5061	590	21	system	system	NOUN
fis-5061	590	22	bbd	bbd	PROPN
fis-5061	590	23	:	:	PUNCT
fis-5061	590	24	box	box	NOUN
fis-5061	590	25	-	-	PUNCT
fis-5061	590	26	behnken	behnken	VERB
fis-5061	590	27	designs	design	NOUN
fis-5061	590	28	bpnn	bpnn	NOUN
fis-5061	590	29	:	:	PUNCT
fis-5061	590	30	back	back	ADJ
fis-5061	590	31	-	-	PUNCT
fis-5061	590	32	propagation	propagation	NOUN
fis-5061	590	33	neural	neural	ADJ
fis-5061	590	34	network	network	NOUN
fis-5061	590	35	edm	edm	PROPN
fis-5061	590	36	:	:	PUNCT
fis-5061	590	37	electric	electric	ADJ
fis-5061	590	38	discharge	discharge	NOUN
fis-5061	590	39	machining	machining	NOUN
fis-5061	590	40	fc	fc	NOUN
fis-5061	590	41	:	:	PUNCT
fis-5061	590	42	cutting	cut	VERB
fis-5061	590	43	force	force	NOUN
fis-5061	590	44	fis	fis	PROPN
fis-5061	590	45	:	:	PUNCT
fis-5061	590	46	fuzzy	fuzzy	ADJ
fis-5061	590	47	inference	inference	NOUN
fis-5061	590	48	system	system	NOUN
fis-5061	590	49	fl	fl	PROPN
fis-5061	590	50	:	:	PUNCT
fis-5061	590	51	fuzzy	fuzzy	ADJ
fis-5061	590	52	logic	logic	NOUN
fis-5061	590	53	gaussmf	gaussmf	NOUN
fis-5061	590	54	:	:	PUNCT
fis-5061	591	1	gaussian	gaussian	ADJ
fis-5061	591	2	membership	membership	NOUN
fis-5061	591	3	function	function	NOUN
fis-5061	591	4	gbellmf	gbellmf	NOUN
fis-5061	591	5	:	:	PUNCT
fis-5061	591	6	generalized	generalized	ADJ
fis-5061	591	7	bell	bell	NOUN
fis-5061	591	8	membership	membership	NOUN
fis-5061	591	9	function	function	PROPN
fis-5061	591	10	gep	gep	PROPN
fis-5061	591	11	:	:	PUNCT
fis-5061	591	12	gene	gene	NOUN
fis-5061	591	13	expression	expression	NOUN
fis-5061	591	14	programming	programming	NOUN
fis-5061	591	15	gp	gp	NOUN
fis-5061	591	16	:	:	PUNCT
fis-5061	591	17	genetic	genetic	ADJ
fis-5061	591	18	programming	programming	NOUN
fis-5061	591	19	lm	lm	PROPN
fis-5061	591	20	:	:	PUNCT
fis-5061	591	21	levenberg	levenberg	PROPN
fis-5061	591	22	-	-	PUNCT
fis-5061	591	23	marquardt	marquardt	PROPN
fis-5061	591	24	lse	lse	PROPN
fis-5061	591	25	:	:	PUNCT
fis-5061	591	26	least	least	ADJ
fis-5061	591	27	squares	square	NOUN
fis-5061	591	28	estimation	estimation	PROPN
fis-5061	591	29	mfs	mfs	PROPN
fis-5061	591	30	:	:	PUNCT
fis-5061	591	31	membership	membership	NOUN
fis-5061	591	32	functions	function	NOUN
fis-5061	591	33	mql	mql	NOUN
fis-5061	591	34	:	:	PUNCT
fis-5061	591	35	minimum	minimum	ADJ
fis-5061	591	36	quantity	quantity	NOUN
fis-5061	591	37	lubrication	lubrication	NOUN
fis-5061	591	38	ml	ml	VERB
fis-5061	591	39	:	:	PUNCT
fis-5061	591	40	machine	machine	NOUN
fis-5061	591	41	learning	learn	VERB
fis-5061	591	42	mlp	mlp	PROPN
fis-5061	591	43	:	:	PUNCT
fis-5061	591	44	multilayer	multilayer	PROPN
fis-5061	591	45	perceptron	perceptron	PROPN
fis-5061	591	46	mrr	mrr	PROPN
fis-5061	591	47	:	:	PUNCT
fis-5061	591	48	material	material	NOUN
fis-5061	591	49	removal	removal	NOUN
fis-5061	591	50	rate	rate	NOUN
fis-5061	591	51	mse	mse	PROPN
fis-5061	591	52	:	:	PUNCT
fis-5061	591	53	mean	mean	VERB
fis-5061	591	54	squared	square	VERB
fis-5061	591	55	error	error	NOUN
fis-5061	591	56	mwcnts	mwcnt	NOUN
fis-5061	591	57	:	:	PUNCT
fis-5061	591	58	multi	multi	ADJ
fis-5061	591	59	-	-	ADJ
fis-5061	591	60	walled	walled	ADJ
fis-5061	591	61	carbon	carbon	NOUN
fis-5061	591	62	nanotubes	nanotube	NOUN
fis-5061	591	63	poa	poa	NOUN
fis-5061	591	64	:	:	PUNCT
fis-5061	591	65	pigeon	pigeon	NOUN
fis-5061	591	66	optimization	optimization	NOUN
fis-5061	591	67	algorithm	algorithm	NOUN
fis-5061	591	68	pso	pso	NOUN
fis-5061	591	69	:	:	PUNCT
fis-5061	591	70	particle	particle	NOUN
fis-5061	591	71	swarm	swarm	NOUN
fis-5061	591	72	optimization	optimization	PROPN
fis-5061	591	73	ra	ra	PROPN
fis-5061	591	74	:	:	PUNCT
fis-5061	591	75	surface	surface	NOUN
fis-5061	591	76	roughness	roughness	NOUN
fis-5061	591	77	rmse	rmse	NOUN
fis-5061	591	78	:	:	PUNCT
fis-5061	591	79	root	root	NOUN
fis-5061	591	80	mean	mean	VERB
fis-5061	591	81	squared	square	VERB
fis-5061	591	82	error	error	NOUN
fis-5061	591	83	rsm	rsm	NOUN
fis-5061	591	84	:	:	PUNCT
fis-5061	591	85	response	response	NOUN
fis-5061	591	86	surface	surface	NOUN
fis-5061	591	87	methodology	methodology	NOUN
fis-5061	591	88	tl	tl	PROPN
fis-5061	591	89	:	:	PUNCT
fis-5061	591	90	tool	tool	NOUN
fis-5061	591	91	life	life	NOUN
fis-5061	591	92	trapmf	trapmf	NOUN
fis-5061	591	93	:	:	PUNCT
fis-5061	591	94	trapezoidal	trapezoidal	ADJ
fis-5061	591	95	membership	membership	NOUN
fis-5061	591	96	function	function	NOUN
fis-5061	591	97	trimf	trimf	NOUN
fis-5061	591	98	:	:	PUNCT
fis-5061	591	99	triangular	triangular	NOUN
fis-5061	591	100	membership	membership	NOUN
fis-5061	591	101	function	function	NOUN
fis-5061	591	102	<	<	X
fis-5061	591	103	<	<	X
fis-5061	591	104	/ascii85encodepages	/ascii85encodepage	NOUN
fis-5061	591	105	false	false	ADJ
fis-5061	591	106	/allowtransparency	/allowtransparency	NOUN
fis-5061	591	107	false	false	ADJ
fis-5061	591	108	/autopositionepsfiles	/autopositionepsfile	NOUN
fis-5061	591	109	true	true	ADJ
fis-5061	591	110	/autorotatepages	/autorotatepage	NOUN
fis-5061	591	111	/none	/none	PUNCT
fis-5061	591	112	/binding	/binding	PUNCT
fis-5061	591	113	/left	/left	ADJ
fis-5061	592	1	/calgrayprofile	/calgrayprofile	VERB
fis-5061	592	2	(	(	PUNCT
fis-5061	592	3	dot	dot	NOUN
fis-5061	592	4	gain	gain	NOUN
fis-5061	592	5	20	20	NUM
fis-5061	592	6	%	%	NOUN
fis-5061	592	7	)	)	PUNCT
fis-5061	592	8	/calrgbprofile	/calrgbprofile	PUNCT
fis-5061	593	1	(	(	PUNCT
fis-5061	593	2	srgb	srgb	PROPN
fis-5061	593	3	iec61966	iec61966	NOUN
fis-5061	593	4	-	-	PUNCT
fis-5061	593	5	2.1	2.1	NUM
fis-5061	593	6	)	)	PUNCT
fis-5061	593	7	/calcmykprofile	/calcmykprofile	PUNCT
fis-5061	594	1	(	(	PUNCT
fis-5061	594	2	u.s	u.s	PROPN
fis-5061	594	3	.	.	PROPN
fis-5061	594	4	web	web	NOUN
fis-5061	594	5	coated	coat	VERB
fis-5061	594	6	\050swop\051	\050swop\051	ADJ
fis-5061	594	7	v2	v2	NOUN
fis-5061	594	8	)	)	PUNCT
fis-5061	594	9	/srgbprofile	/srgbprofile	PUNCT
fis-5061	594	10	(	(	PUNCT
fis-5061	594	11	srgb	srgb	PROPN
fis-5061	594	12	iec61966	iec61966	NOUN
fis-5061	594	13	-	-	PUNCT
fis-5061	594	14	2.1	2.1	NUM
fis-5061	594	15	)	)	PUNCT
fis-5061	594	16	/cannotembedfontpolicy	/cannotembedfontpolicy	PUNCT
fis-5061	595	1	/error	/error	INTJ
fis-5061	595	2	/compatibilitylevel	/compatibilitylevel	NOUN
fis-5061	596	1	1.4	1.4	NUM
fis-5061	596	2	/compressobjects	/compressobject	NOUN
fis-5061	596	3	/tags	/tag	VERB
fis-5061	596	4	/compresspages	/compresspage	NOUN
fis-5061	596	5	true	true	ADJ
fis-5061	596	6	/convertimagestoindexed	/convertimagestoindexed	ADJ
fis-5061	596	7	true	true	ADJ
fis-5061	596	8	/passthroughjpegimages	/passthroughjpegimage	NOUN
fis-5061	596	9	true	true	ADJ
fis-5061	596	10	/createjobticket	/createjobticket	NOUN
fis-5061	596	11	false	false	ADJ
fis-5061	596	12	/defaultrenderingintent	/defaultrenderingintent	NOUN
fis-5061	596	13	/default	/default	PUNCT
fis-5061	596	14	/detectblends	/detectblend	NOUN
fis-5061	596	15	true	true	ADJ
fis-5061	596	16	/detectcurves	/detectcurve	VERB
fis-5061	597	1	0.0000	0.0000	NUM
fis-5061	597	2	/colorconversionstrategy	/colorconversionstrategy	NOUN
fis-5061	597	3	/cmyk	/cmyk	PUNCT
fis-5061	598	1	/dothumbnails	/dothumbnail	VERB
fis-5061	599	1	false	false	ADJ
fis-5061	599	2	/embedallfonts	/embedallfont	NOUN
fis-5061	599	3	true	true	ADJ
fis-5061	599	4	/embedopentype	/embedopentype	PUNCT
fis-5061	599	5	false	false	ADJ
fis-5061	599	6	/parseiccprofilesincomments	/parseiccprofilesincomment	NOUN
fis-5061	599	7	true	true	ADJ
fis-5061	599	8	/embedjoboptions	/embedjoboption	NOUN
fis-5061	599	9	true	true	ADJ
fis-5061	599	10	/dscreportinglevel	/dscreportinglevel	NOUN
fis-5061	599	11	0	0	NUM
fis-5061	599	12	/emitdscwarnings	/emitdscwarning	NOUN
fis-5061	599	13	false	false	ADJ
fis-5061	599	14	/endpage	/endpage	NOUN
fis-5061	599	15	-1	-1	NOUN
fis-5061	599	16	/imagememory	/imagememory	NUM
fis-5061	599	17	1048576	1048576	NUM
fis-5061	599	18	/lockdistillerparams	/lockdistillerparams	NOUN
fis-5061	599	19	false	false	ADJ
fis-5061	599	20	/maxsubsetpct	/maxsubsetpct	ADJ
fis-5061	599	21	100	100	NUM
fis-5061	599	22	/optimize	/optimize	NOUN
fis-5061	599	23	true	true	ADJ
fis-5061	599	24	/opm	/opm	NOUN
fis-5061	599	25	1	1	NUM
fis-5061	599	26	/parsedsccomments	/parsedsccomment	NOUN
fis-5061	599	27	true	true	ADJ
fis-5061	599	28	/parsedsccommentsfordocinfo	/parsedsccommentsfordocinfo	VERB
fis-5061	599	29	true	true	ADJ
fis-5061	599	30	/preservecopypage	/preservecopypage	NOUN
fis-5061	599	31	true	true	ADJ
fis-5061	599	32	/preservedicmykvalues	/preservedicmykvalue	NOUN
fis-5061	599	33	true	true	ADJ
fis-5061	599	34	/preserveepsinfo	/preserveepsinfo	NOUN
fis-5061	599	35	true	true	ADJ
fis-5061	599	36	/preserveflatness	/preserveflatness	NOUN
fis-5061	599	37	true	true	ADJ
fis-5061	599	38	/preservehalftoneinfo	/preservehalftoneinfo	PUNCT
fis-5061	599	39	false	false	ADJ
fis-5061	599	40	/preserveopicomments	/preserveopicomment	NOUN
fis-5061	599	41	true	true	ADJ
fis-5061	599	42	/preserveoverprintsettings	/preserveoverprintsetting	NOUN
fis-5061	599	43	true	true	ADJ
fis-5061	599	44	/startpage	/startpage	NOUN
fis-5061	599	45	1	1	NUM
fis-5061	599	46	/subsetfonts	/subsetfont	NOUN
fis-5061	599	47	true	true	ADJ
fis-5061	599	48	/transferfunctioninfo	/transferfunctioninfo	PUNCT
fis-5061	599	49	/apply	/apply	PUNCT
fis-5061	599	50	/ucrandbginfo	/ucrandbginfo	PUNCT
fis-5061	600	1	/preserve	/preserve	NOUN
fis-5061	600	2	/useprologue	/useprologue	NOUN
fis-5061	600	3	false	false	ADJ
fis-5061	600	4	/colorsettingsfile	/colorsettingsfile	NOUN
fis-5061	600	5	(	(	PUNCT
fis-5061	600	6	)	)	PUNCT
fis-5061	600	7	/alwaysembed	/alwaysembe	VERB
fis-5061	600	8	[	[	PUNCT
fis-5061	600	9	true	true	ADJ
fis-5061	600	10	]	]	PUNCT
fis-5061	600	11	/neverembed	/neverembed	PUNCT
fis-5061	601	1	[	[	PUNCT
fis-5061	601	2	true	true	ADJ
fis-5061	601	3	]	]	PUNCT
fis-5061	601	4	/antialiascolorimages	/antialiascolorimages	X
fis-5061	601	5	false	false	ADJ
fis-5061	601	6	/cropcolorimages	/cropcolorimages	PUNCT
fis-5061	601	7	true	true	ADJ
fis-5061	601	8	/colorimageminresolution	/colorimageminresolution	PUNCT
fis-5061	601	9	300	300	NUM
fis-5061	601	10	/colorimageminresolutionpolicy	/colorimageminresolutionpolicy	NOUN
fis-5061	601	11	/ok	/ok	ADJ
fis-5061	602	1	/downsamplecolorimages	/downsamplecolorimage	VERB
fis-5061	603	1	true	true	ADJ
fis-5061	603	2	/colorimagedownsampletype	/colorimagedownsampletype	PUNCT
fis-5061	603	3	/bicubic	/bicubic	NOUN
fis-5061	603	4	/colorimageresolution	/colorimageresolution	NOUN
fis-5061	604	1	300	300	NUM
fis-5061	604	2	/colorimagedepth	/colorimagedepth	PRON
fis-5061	604	3	-1	-1	INTJ
fis-5061	604	4	/colorimagemindownsampledepth	/colorimagemindownsampledepth	SYM
fis-5061	604	5	1	1	NUM
fis-5061	604	6	/colorimagedownsamplethreshold	/colorimagedownsamplethreshold	SYM
fis-5061	604	7	1.50000	1.50000	NUM
fis-5061	604	8	/encodecolorimages	/encodecolorimage	NOUN
fis-5061	604	9	true	true	ADJ
fis-5061	604	10	/colorimagefilter	/colorimagefilter	PUNCT
fis-5061	604	11	/dctencode	/dctencode	PUNCT
fis-5061	605	1	/autofiltercolorimages	/autofiltercolorimage	NOUN
fis-5061	605	2	true	true	ADJ
fis-5061	605	3	/colorimageautofilterstrategy	/colorimageautofilterstrategy	PUNCT
fis-5061	605	4	/jpeg	/jpeg	PUNCT
fis-5061	605	5	/coloracsimagedict	/coloracsimagedict	PUNCT
fis-5061	606	1	<	<	X
fis-5061	606	2	<	<	X
fis-5061	606	3	/qfactor	/qfactor	NOUN
fis-5061	606	4	0.15	0.15	NUM
fis-5061	606	5	/hsamples	/hsample	NOUN
fis-5061	607	1	[	[	X
fis-5061	607	2	1	1	NUM
fis-5061	607	3	1	1	NUM
fis-5061	607	4	1	1	NUM
fis-5061	607	5	1	1	NUM
fis-5061	607	6	]	]	PUNCT
fis-5061	607	7	/vsamples	/vsample	NOUN
fis-5061	608	1	[	[	X
fis-5061	608	2	1	1	NUM
fis-5061	608	3	1	1	NUM
fis-5061	608	4	1	1	NUM
fis-5061	608	5	1	1	NUM
fis-5061	608	6	]	]	PUNCT
fis-5061	608	7	>	>	PUNCT
fis-5061	608	8	>	>	X
fis-5061	608	9	/colorimagedict	/colorimagedict	PUNCT
fis-5061	609	1	<	<	X
fis-5061	609	2	<	<	X
fis-5061	609	3	/qfactor	/qfactor	NOUN
fis-5061	609	4	0.15	0.15	NUM
fis-5061	609	5	/hsamples	/hsample	NOUN
fis-5061	610	1	[	[	X
fis-5061	610	2	1	1	NUM
fis-5061	610	3	1	1	NUM
fis-5061	610	4	1	1	NUM
fis-5061	610	5	1	1	NUM
fis-5061	610	6	]	]	PUNCT
fis-5061	610	7	/vsamples	/vsample	NOUN
fis-5061	611	1	[	[	X
fis-5061	611	2	1	1	NUM
fis-5061	611	3	1	1	NUM
fis-5061	611	4	1	1	NUM
fis-5061	611	5	1	1	NUM
fis-5061	611	6	]	]	PUNCT
fis-5061	611	7	>	>	PUNCT
fis-5061	611	8	>	>	X
fis-5061	611	9	/jpeg2000coloracsimagedict	/jpeg2000coloracsimagedict	PUNCT
fis-5061	612	1	<	<	X
fis-5061	612	2	<	<	X
fis-5061	612	3	/tilewidth	/tilewidth	PUNCT
fis-5061	612	4	256	256	NUM
fis-5061	612	5	/tileheight	/tileheight	NUM
fis-5061	612	6	256	256	NUM
fis-5061	612	7	/quality	/quality	NOUN
fis-5061	612	8	30	30	NUM
fis-5061	612	9	>	>	PUNCT
fis-5061	612	10	>	>	X
fis-5061	612	11	/jpeg2000colorimagedict	/jpeg2000colorimagedict	PUNCT
fis-5061	612	12	<	<	X
fis-5061	612	13	<	<	X
fis-5061	612	14	/tilewidth	/tilewidth	PUNCT
fis-5061	612	15	256	256	NUM
fis-5061	612	16	/tileheight	/tileheight	NUM
fis-5061	612	17	256	256	NUM
fis-5061	612	18	/quality	/quality	NOUN
fis-5061	612	19	30	30	NUM
fis-5061	612	20	>	>	PUNCT
fis-5061	612	21	>	>	X
fis-5061	612	22	/antialiasgrayimages	/antialiasgrayimages	X
fis-5061	612	23	false	false	ADJ
fis-5061	612	24	/cropgrayimages	/cropgrayimage	NOUN
fis-5061	612	25	true	true	ADJ
fis-5061	612	26	/grayimageminresolution	/grayimageminresolution	ADV
fis-5061	612	27	300	300	NUM
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fis-5061	637	3	>	>	X
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fis-5061	638	3	>	>	X
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fis-5061	638	11	>	>	X
fis-5061	638	12	/hrv	/hrv	PROPN
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fis-5061	639	2	za	za	PROPN
fis-5061	639	3	stvaranje	stvaranje	PROPN
fis-5061	639	4	adobe	adobe	PROPN
fis-5061	639	5	pdf	pdf	PROPN
fis-5061	639	6	dokumenata	dokumenata	PROPN
fis-5061	639	7	najpogodnijih	najpogodnijih	PROPN
fis-5061	639	8	za	za	PROPN
fis-5061	639	9	visokokvalitetni	visokokvalitetni	VERB
fis-5061	639	10	ispis	ispis	ADJ
fis-5061	639	11	prije	prije	NOUN
fis-5061	639	12	tiskanja	tiskanja	PROPN
fis-5061	639	13	koristite	koristite	PROPN
fis-5061	639	14	ove	ove	NOUN
fis-5061	639	15	postavke	postavke	NOUN
fis-5061	639	16	.	.	PUNCT
fis-5061	640	1	stvoreni	stvoreni	ADJ
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fis-5061	640	3	dokumenti	dokumenti	PROPN
fis-5061	640	4	mogu	mogu	PROPN
fis-5061	640	5	se	se	X
fis-5061	640	6	otvoriti	otvoriti	PROPN
fis-5061	640	7	acrobat	acrobat	PROPN
fis-5061	641	1	i	i	PRON
fis-5061	641	2	adobe	adobe	PROPN
fis-5061	641	3	reader	reader	PROPN
fis-5061	641	4	5.0	5.0	NUM
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fis-5061	641	6	kasnijim	kasnijim	VERB
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fis-5061	644	3	>	>	X
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