Practical complexity control in multilayer perceptrons

DOI10.1016/S0165-1684(98)00200-XzbMath0921.68069OpenAlexW1990098672MaRDI QIDQ1285697

Tautvydas Cibas, Patrick Gallinari

Publication date: 28 April 1999

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(98)00200-x

zbMATH Keywords

complexityregularizationneural networksmodel selectionminimum description length

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

OCReP: an optimally conditioned regularization for pseudoinversion based neural training ⋮ An analysis of numerical issues in neural training by pseudoinversion

This page was built for publication: Practical complexity control in multilayer perceptrons