Modeling and Simulation Applying Adaptive Neural-Fuzzy Inference System(ANFIS)

Extraction of fuzzy rules and learning of parameters of membership functions play an essential role in the design of a fuzzy inference system but they are difficult. Adaptive Neural-Fuzzy Inference System (ANFIS) method is based on Sugeno fuzzy model and has a structure similar to neural network that tunes the parameters of the fuzzy inference system with backpropagation algorithm and least-square method and can produce fuzzy rules automatically. This paper gives the simulation example of modeling a typical system with ANFIS method and good result is obtained.