The identification of fuzzy systems based on differential evolution method

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Authors: Hodashinskiy I. A., Dudin P. A.

Annotation: In this article, the differential evolution algorithm for the identification of fuzzy systems is offered. On the basis of the offered algorithm five fuzzy systems are constructed, they approximate nonlinear functions from one, two, and three variables. The influence of algorithm parameters on an approximation error is investigated.

Keywords: fuzzy systems, metaheuristics, differential evolution