Noisy regression and classification with continuous multilayer networks

DOI10.1088/0305-4470/32/50/101zbMath0957.82026arXivcond-mat/9907340OpenAlexW3121466560WikidataQ61968782 ScholiaQ61968782MaRDI QIDQ4495864

M. Ahr, Michael Biehl, Robert Urbanczik

Publication date: 13 August 2000

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/9907340

zbMATH Keywords

classificationreplica symmetry breakingmultilayer neural networksnoisy regressionunrealizable ruleszero-temperature Gibbs learning

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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