A neural network that takes into account the physical phenomena accompanying the cutting process

Authors

  • N. Ravskaya Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine
  • A. Klochko National Technical University «Kharkiv Polytechnic Institute», Ukraine
  • A. Zakovorotny National Technical University «Kharkiv Polytechnic Institute», Ukraine
  • I. Korbut Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine http://orcid.org/0000-0002-1221-4052
  • P. Rodin Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine

DOI:

https://doi.org/10.20535/2521-1943.2020.89.188954

Keywords:

neural networks, ANN, MINS, argument accounting method

Abstract

The article deals with the application of artificial neural networks to control the cutting process. The issues of improving the control accuracy of the system and the need to create an ANN based on the phenomena accompanying the cutting process are considered. The creation of such ANN is an urgent problem and is of great practical importance. The article shows that despite the fact that MINS allows solving problems of image classification, which are often not formalized or difficult to formalize, this method is not applicable for obtaining models of the cutting process in order to predict the phenomena accompanying it and optimize the conditions for carrying it out. To solve such problems, it is advisable to use group argument accounting method

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Published

2020-09-01

Issue

Section

Up-to-date machines and the technologies of mechanical engineering