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Modeling of polypropylene and polycarbonate grinding - artificial intelligence approach

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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
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