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Neural networks in modeling of CNC milling of moderate slope surfaces

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dc.title Neural networks in modeling of CNC milling of moderate slope surfaces en
dc.contributor.author Bílek, Ondřej
dc.contributor.author Sámek, David
dc.relation.ispartof Modern Trends and Techniques in Computer Science (CSOC 2014)
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-331906739-1
dc.date.issued 2014
utb.relation.volume 285
dc.citation.spage 75
dc.citation.epage 83
dc.event.title 3rd Computer Science On-line Conference, CSOC 2014
dc.event.sdate 2014-04-28
dc.event.edate 2014-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-06740-7_7
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-06740-7_7
dc.subject Artificial neural networks en
dc.subject CNC milling en
dc.subject Modeling en
dc.subject Surface quality en
dc.description.abstract Computer numerical control (CNC) allows achieving a high degree of automation of machine tools by pre-programmed numerical commands. CNC milling process is widely used in industry for machining of complex parts. The need of a description of the CNC milling process is necessary for production of precise parts. This paper introduces artificial neural network based modeling, while the CNC milling of moderate slope shapes is studied. The developed neural models consist of two inputs and two outputs. The created neural models were experimentally tested on the real data. Then, the evaluation and comparison of all models were performed. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004197
utb.identifier.obdid 43874645
utb.identifier.scopus 2-s2.0-84923832878
utb.identifier.wok 000370620000007
utb.source d-scopus
dc.date.accessioned 2015-05-06T06:58:23Z
dc.date.available 2015-05-06T06:58:23Z
utb.contributor.internalauthor Bílek, Ondřej
utb.contributor.internalauthor Sámek, David
utb.fulltext.affiliation Ondrej Bilek and David Samek O. Bilek (&) D. Samek Faculty of Technology, Tomas Bata University in Zlin, Zlin, Czech Republic e-mail: bilek@ft.utb.cz D. Samek e-mail: samek@ft.utb.cz
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