Self-construction algorithm for synthesis of wavelet networks

A novel algorithm for the synthesis of wavelet networks is proposed which possesses the self-construction capability. It is referred as recursive variance suppression growth. Using this method, the network is allowed to start with a null hidden neuron and then grows autonomously. Simulations show that the proposed method outperforms other reported methods