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Self-developed algorithm adaptive neuro-fuzzy systems based on soft computing

Keywords:

S.G. Emelianov, M.V. Bobyr, A.V. Antsiferov


One of the possible ways to increase the efficiency and mobility of data measuring and control systems is to increase the adaptability and intelligence to the models and control algorithms. A possible way to improve this is to use the fuzzy controllers, which are based on models and algorithms for fuzzy inference [1]. Along with a reduction in computational complexity and, as a result, simplification of hardware and software implementation, these algorithms offer a number of additional advantages when dealing with incomplete and uncertainty information.
References:

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June 24, 2020
May 29, 2020

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