Neural networks in modeling of CNC milling of moderate slope surfaces

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F14%3A43874087" target="_blank" >RIV/70883521:28110/14:43874087 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-06740-7_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-06740-7_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-06740-7_7" target="_blank" >10.1007/978-3-319-06740-7_7</a>

Result language
angličtina
Original language name
Neural networks in modeling of CNC milling of moderate slope surfaces
Original language description
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.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Intelligent Systems and Computing. 285
ISBN
978-3-319-06739-1
ISSN
2194-5357
e-ISSN
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Number of pages
9
Pages from-to
75-83
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
on-line
Event date
Apr 28, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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