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Эта публикация цитируется в 1 научной статье (всего в 1 статье)
Methods of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources
M. G. Zhartybayevaa, M. M. Taturb, M. M. Shaverdob, K. T. Iskakova a L.Gumilyov Eurasian National University, Pushkin st. 11, Faculty of information Technologies, Astana, Kazakhstan
b Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus, Department of Electronic Computing Machines
Аннотация:
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.
Ключевые слова:
fuzzy inference algorithms, fuzzy logic, control system.
Образец цитирования:
M. G. Zhartybayeva, M. M. Tatur, M. M. Shaverdo, K. T. Iskakov, “Methods of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources”, Eurasian Journal of Mathematical and Computer Applications, 7:1 (2019), 65–78
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/ejmca132 https://www.mathnet.ru/rus/ejmca/v7/i1/p65
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Страница аннотации: | 92 | PDF полного текста: | 45 |
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