Hybrid PSO-TLBO for Training Adaptive Neural Fuzzy Inference System

This paper proposes a new approach for training the adaptive network based fuzzy inference system (ANFIS).In this study we apply hybrid of Particle swarm optimization with Teaching Learning Based Optimization Algorithm (PSO-TLBO) in it for training the antecedent parameters and the conclusion parameters ANFIS structure Finally the method is applied to the identification of nonlinear dynamical system and is compared with basic BP, GA, TL, PSO and results showed this algorithm is successful for training ANFIS, one of the difficult problems. The proposed method is applied to identification of the nonlinear systems and prediction chaos systems.

کلیدواژه ها:

ANFIS ، Teaching Learning Based Optimization ، Swarm Intelligent ، Identification ، Training