A New Artificial Neural Network and its Application in Wavelet Neural Network and Wavelet Neuro-Fuzzy Case study: Time Series Prediction
Ahmad Banakar, Mohammad Fazle Azeem · 2006 3rd International IEEE Conference Intelligent Systems · 2006
The approximation of general continuous functions by nonlinear network is very useful for system modeling and identification. Therefore, different type of networks and their combinations have developed. In present paper a wavelet neural network is used and a linear regression of inputs is used as a wavelet weight, also this model is applied in wavelet neuro-fuzzy model