Nov. 2, 2022, 1:12 a.m. | Lubomir T. Dechevsky, Kristoffer M. Tangrand

cs.LG updates on arXiv.org arxiv.org

This is the first paper in a sequence of studies in which we introduce a new
type of neural networks (NNs) -- wavelet-based neural networks (WBNNs) -- and
study their properties and potential for applications. We begin this study with
a comparison to the currently existing type of wavelet neural networks (WNNs)
and show that WBNNs vastly outperform WNNs. One reason for the vast superiority
of WBNNs is their advanced hierarchical tree structure based on biorthonormal
multiresolution analysis (MRA). Another …

arxiv networks neural networks wavelet

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