https://libeldoc.bsuir.by/handle/123456789/41253| Title: | Method of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources |
| Authors: | Zhartybayeva, M. G. Tatur, M. M. Shaverdo, M. M. Iskakov, K. T. |
| Keywords: | публикации ученых;fuzzy inference algorithms;fuzzy logic;control system |
| Issue Date: | 2019 |
| Publisher: | L. N. Gumilyov Eurasian National University |
| 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. |
| 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. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/41253 |
| Appears in Collections: | Публикации в зарубежных изданиях |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Zhartybayeva_Methods.pdf | 1.6 MB | Adobe PDF | View/Open |
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