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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/64105
Title: Optimization of Machining on the Basis of Artificial Intelligence
Authors: Yavurik, O. V.
Bondarenko, Yu. A.
Shrubchenko, I. V.
Khurtasenko, A. V.
Baranov, D. S.
Keywords: technique
сomputer engineering
technological systems
neural network modeling
applied fuzzy systems
process control systems
control
quality
optimization
machining
Issue Date: 2023
Citation: Optimization of Machining on the Basis of Artificial Intelligence / O.V. Yavurik, Yu.A. Bondarenko, I.V. Shrubchenko [et al.] // Russian Engineering Research. - 2023. - Vol.43, №6.-P. 727-730. - Doi: 10.3103/S1068798X23060278. - Refer.: p. 730.
Abstract: Often, in the assessment of a technological system, attention focuses on quantitative characteristics reflecting aspects of the machining quality. The assessment may be subjective for each machine tool and each implementation of flexible technology. If characteristics corresponding to the quality of control are considered, the system may be assessed at the design stage. Various engineering and economic parameters may be adopted as the criteria in optimization
URI: http://dspace.bsu.edu.ru/handle/123456789/64105
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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