Comparative Study of Different Type of Wavelet in Artificial Wavelet Neuro-Fuzzy Model
Ahmad Banakar, Mohammad Fazle Azeem · 2006
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