Due to ability of localized approximation of wavelets and neuro-fuzzy model, wavelet neuro fuzzy is very attractive in modeling and function approximation of nonlinear systems. In present paper two new wavelet fuzzy networks namely Summation Wavelet Neuro-Fuzzy (SWNF) and Multiplication Wavelet Neuro-Fuzzy (MWNF) model is proposed. Different type of wavelet is used in the proposed models and ability of models is tested on three nonlinear dynamic system examples.
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