Synchronous Boltzmann machines can be universal approximators

DOI10.1016/0893-9659(96)00041-9zbMath0851.68098OpenAlexW2042774451MaRDI QIDQ1921200

Laurent Younes

Publication date: 11 August 1996

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0893-9659(96)00041-9

zbMATH Keywords

stochastic neural networksreversible synchronous Boltzmann machines

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Cellular automata (computational aspects) (68Q80)

Related Items

Hierarchical models as marginals of hierarchical models ⋮ A complete restricted Boltzmann machine on an adiabatic quantum computer

Cites Work

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• Approximation by superpositions of a sigmoidal function