Modeling of polypropylene and polycarbonate grinding - artificial intelligence approach

Sámek, David; Bílek, Ondřej; Lukovics, Imrich

dc.title	Modeling of polypropylene and polycarbonate grinding - artificial intelligence approach	en
dc.contributor.author	Sámek, David
dc.contributor.author	Bílek, Ondřej
dc.contributor.author	Lukovics, Imrich
dc.relation.ispartof	Development in Machining Technology
dc.identifier.isbn	978-83-7242-655-0
dc.date.issued	2012
dc.event.location	Krakow
utb.event.state-en	Poland
utb.event.state-cs	Polsko
dc.type	bookPart
dc.language.iso	en
dc.publisher	Politechnika Krakowska
dc.subject	grinding	en
dc.subject	polypropylene	en
dc.subject	polycarbonate	en
dc.subject	artificial intelligence	en
dc.description.abstract	Modeling of complex multidimensional systems is generally difficult especially in cases when a technological process is regarded. What is more, data obtained from technological systems are usually influenced by noise, disturbances and measurement errors. This paper presents case study of modeling of technological process, namely polymer materials grinding, with artificial neural networks.	en
utb.faculty	Faculty of Technology
dc.identifier.uri	http://hdl.handle.net/10563/1005960
utb.identifier.rivid	RIV/70883521:28110/12:43869064!RIV13-MSM-28110___
utb.identifier.obdid	43869285
utb.source	c-riv
dc.date.accessioned	2016-04-28T10:37:27Z
dc.date.available	2016-04-28T10:37:27Z
dc.description.sponsorship	V
dc.format.extent	150
utb.contributor.internalauthor	Sámek, David
utb.contributor.internalauthor	Bílek, Ondřej
utb.contributor.internalauthor	Lukovics, Imrich
riv.obor	JR