This paper introduces a method of optimizing adaptive neural fuzzy inference system (ANFIS) with genetic algorithm (GA), and adopts the method of optimizing ANFIS based on GA to fit nonlinear multi-peak functions, and analyzes the fitting ability and prediction ability of this method. The experimental results show that ANFIS after adding GA optimization has better fitting ability and prediction ability, and is more suitable for establishing nonlinear mapping relationship between complex parameters. Keywords: adaptive neural fuzzy inference system (ANFIS); GA; ANFIS-GA; function fitting
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