Abstract: The combination of the fuzzy neural network (FNN) theory with the wavelet neural network (WNN) analysis technique has formed a algorithm, i. e. wavelet fuzzy neural network (WFNN). This network introduces Takagi-Sugeno fuzzy model into WNN. On the premise of not increasing wavelet primary function, the precision of network approach function is raised. This algorithm will be widely applied to robotics.