Tuning Parameters of ANFIS Model Using Chaotic Particle Swarm Optimization Algorithm

Abstract

Abstract In recent years, researchers have worked to find multiple methods to overcome the classification problems they encountered. In this paper, both the Chaotic Particle Swarm Optimization (CPSO) algorithm are connected with the Adaptive Fuzzy Inference System (AFIS) model, through two stages, the first stage, CPSO algorithm is used to tune parameters of the fuzzy inference system model. In the second stage, the fuzzy inference system model is constructed according to the optimum parameters that are found by the CPSO algorithm. The proposed CPSO-AFIS algorithm demonstrated efficacy and efficiency compared to the standard algorithm Adaptive Neuro Fuzzy Inference System (ANFIS).