Complexity estimates based on integral transforms induced by computational units.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 22684117.
- Also identified by DOI 10.1016/j.neunet.2012.05.002.
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Abstract
Integral transforms with kernels corresponding to computational units are exploited to derive estimates of network complexity. The estimates are obtained by combining tools from nonlinear approximation theory and functional analysis together with representations of functions in the form of infinite neural networks. The results are applied to perceptron networks.
Medical subject headings
- Computational Biology
- Neural Networks, Computer