A Fuzzy Wavelet Neural Network Model for System Identification

Abstract

In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fuzzy system by replacing the consequent part of fuzzy rules with wavelet basis functions that have time-frequency localization properties. We use a radial function of Mexican Hat… (More)
DOI: 10.1109/ISDA.2009.96

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