A constructive wavelet network picks its initial wavelet frequency by estimating the spatial energy of the function and adds high-energy bases to reach a preset accuracy with fewer parameters.
Semi-supervised learning for multi-label cardiovascular diseases prediction: a multi-dataset study,
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Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications
A constructive wavelet network picks its initial wavelet frequency by estimating the spatial energy of the function and adds high-energy bases to reach a preset accuracy with fewer parameters.