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
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
\RBibitem{ZhaTatSha19}
\by M.~G.~Zhartybayeva, M.~M.~Tatur, M.~M.~Shaverdo, K.~T.~Iskakov
\paper Methods of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources
\jour Eurasian Journal of Mathematical and Computer Applications
\yr 2019
\vol 7
\issue 1
\pages 65--78
\mathnet{http://mi.mathnet.ru/ejmca132}
\crossref{https://doi.org/10.32523/2306-6172-2019-7-1-65-78}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000461809600005}
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