In this paper, a new GA-based constructive algorithm is proposed for wavelet neural networks. Wavelets will be added to the WNNs from low resolution level to high resolution level. At each resolution, the translation parameters of a new wavelet is trained using GA, and output weights is obtained using least square techniques. The proposed algorithm is suitable to the high dimensional probl...
