Fuzzy Wavelet Neural Networks: Theory and Applications
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The fuzzy wavelet neural networks (FWNN) are proposed in this paper. The structure and two learning algorithms of the FWNN for R-F function are given. Under the framework of such structure and two learning algorithms, wavelet-based fuzzy neural networks for interval estimation of processed data and for interpolation of fuzzy if-then rules are proposed too. The simulation results are given to prove their feasibility.
KeywordsFuzzy wavelet neural network (FWNN) LP conjugate gradient method fuzzy reasoning WBFRNN.
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