Title: Modeling and Simulation Applying Adaptive Neural-Fuzzy Inference System(ANFIS)
Abstract: 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.
Publication Year: 2002
Publication Date: 2002-01-01
Language: en
Type: article
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Cited By Count: 6
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