| DC Field | Value | Language |
|---|
| dc.contributor.author | Yavurik, O. V. | - |
| dc.contributor.author | Bondarenko, Yu. A. | - |
| dc.contributor.author | Shrubchenko, I. V. | - |
| dc.contributor.author | Khurtasenko, A. V. | - |
| dc.contributor.author | Baranov, D. S. | - |
| dc.date.accessioned | 2024-12-04T14:06:16Z | - |
| dc.date.available | 2024-12-04T14:06:16Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.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. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/64105 | - |
| dc.description.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 | ru |
| dc.language.iso | en | ru |
| dc.subject | technique | ru |
| dc.subject | сomputer engineering | ru |
| dc.subject | technological systems | ru |
| dc.subject | neural network modeling | ru |
| dc.subject | applied fuzzy systems | ru |
| dc.subject | process control systems | ru |
| dc.subject | control | ru |
| dc.subject | quality | ru |
| dc.subject | optimization | ru |
| dc.subject | machining | ru |
| dc.title | Optimization of Machining on the Basis of Artificial Intelligence | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
|
