Training ANFIS Using Genetic Algorithm for Dynamic Systems Identification

Bülent HAZNEDAR, Adem KALINLI
  • Adem KALINLI
    Affiliation not present

Abstract

In this study, the premise and consequent parameters of ANFIS are optimized using Genetic Algorithm (GA) based on a population algorithm. The proposed approach is applied to the nonlinear dynamic system identification problem. The simulation results of the method are compared with the Backpropagation (BP) algorithm and the results of other methods that are available in the literature. With this study it was observed that the optimisation of ANFIS parameters using GA is more successful than the other methods.

Keywords

Neuro-Fuzzy; ANFIS; Genetic Algorithm; System Identification

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Submitted: 2018-12-11 10:25:33
Published: 2016-12-26 00:00:00
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