Phase transitions in the generalization behaviour of multilayer perceptrons: II. The influence of noise

DOI10.1088/0305-4470/30/24/017zbMath0954.82021arXivcond-mat/9710074OpenAlexW1970613237MaRDI QIDQ4255684

Bernhard Schottky, Uwe Krey

Publication date: 14 February 2001

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/9710074

zbMATH Keywords

phase transitionsBoolean functionreplica symmetry breakinghidden unitsinput noisemultilayer perceptronstwo-layer neural networksoutput noiseinfluence of noiseGibbsian and Bayesian learninginput unitsoutput unit

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Dynamic and nonequilibrium phase transitions (general) in statistical mechanics (82C26)

This page was built for publication: Phase transitions in the generalization behaviour of multilayer perceptrons: II. The influence of noise