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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.
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Kan et al. (1998) studied this question.
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