Zhigao Liao
Department of Management, Guangxi University of Science and Technology, Liuzhou, Guangxi, 545000, China
Fengyi Zhang
Department of Management, Guangxi University of Science and Technology, Liuzhou, Guangxi, 545000, China
ABSTRACT
In this study, HFCM (Hybrid fuzzy clustering method) which is proposed by Niros and Tsekouras (2012) recently, is used to generate an initial TSK fuzzy model with the appropriate cluster centers number and performance index by adjusting the radius of a cluster center. To acquire a TSK fuzzy model with perfect performance, ANFIS (Adaptive neuro-fuzzy inference system) is combined to fine tune the premise parameters and consequent parameters by means of LM (Levenberg-Marquardt) Algorithm. A simulation to a dynamic nonlinear system demonstrates the effective of this method.
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How to cite this article
Zhigao Liao and Fengyi Zhang, 2013. Identification of Nonlinear System Based on ANFIS with Hybrid Fuzzy Clustering. Information Technology Journal, 12: 8349-8353.
DOI: 10.3923/itj.2013.8349.8353
URL: https://scialert.net/abstract/?doi=itj.2013.8349.8353
DOI: 10.3923/itj.2013.8349.8353
URL: https://scialert.net/abstract/?doi=itj.2013.8349.8353
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