| DC Field | Value | Language |
|---|
| dc.contributor.author | Zhartybayeva, M. G. | - |
| dc.contributor.author | Tatur, M. M. | - |
| dc.contributor.author | Shaverdo, M. M. | - |
| dc.contributor.author | Iskakov, K. T. | - |
| dc.date.accessioned | 2020-11-25T07:00:51Z | - |
| dc.date.available | 2020-11-25T07:00:51Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Method of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources / Zhartybayeva M. G. [et al.] // Eurasian Journal of Mathematical and Computer Applications. – 2019. – Vol. 7., iss. 1. – С. 65–78. – DOI: 10.32523/2306-6172-2019-7-1-65-78. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/41253 | - |
| dc.description.abstract | In our work we suggest the most effective ways to reduce the complexity of computing fuzzy inference algorithms, which do not lead to a valuable decrease in the control quality. Our suggestions will be analytically formulated, illustrated with examples and results of model experiments. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | L. N. Gumilyov Eurasian National University | ru_RU |
| dc.subject | публикации ученых | ru_RU |
| dc.subject | fuzzy inference algorithms | ru_RU |
| dc.subject | fuzzy logic | ru_RU |
| dc.subject | control system | ru_RU |
| dc.title | Method of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Публикации в зарубежных изданиях
|
