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On-line cutting force modelling for copy endmills based on multilayer perceptronŽuperl, Uroš ; Čuš, Franc, 1953-This paper uses the artificial neural networks (ANNs) approach to evolve an efficient model for estimation of cutting forces in copy-end milling. Supervised neural network are developed for use as a ... direct modelling method. The training of the networks is performed with experimental machining data. The predictive capability of using analytical and neural network approaches are compared using statistics, which showed that neural network predictions for three cutting force components were for 4% closer to the experimental measurements, compared to 11 % using analytical method.Source: Proceedings of the 4th International conference Industrial engineering - New challenges to SME, 29-30th April 2004, Tallinn, Estonia (Str. 169-172)Type of material - conference contributionPublish date - 2004Language - englishCOBISS.SI-ID - 8764182
Author
Župerl, Uroš |
Čuš, Franc, 1953-
Topics
odrezovanje |
rezalne sile |
nevronske mreže |
umetna inteligenca |
optimizacija |
struženje |
machining |
cutting forces |
artificial intelligence |
neural networks |
optimization |
modeling
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Župerl, Uroš | 20232 |
Čuš, Franc, 1953- | 08634 |
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