High-symmetry Hopfield-type neural networks

DOI10.1007/BF02557200zbMath0942.82023arXivcond-mat/9906197MaRDI QIDQ1568026

L. B. Litinskii

Publication date: 24 August 2000

Published in: Theoretical and Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/9906197

zbMATH Keywords

fixed pointsIsing modeldistortion parameterHebbian ruleHopfield-type neural networkmaximizing a symmetric quadratic formspin variables

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)

Cites Work

• Direct calculation of the stable points of a neural network
• Neural networks, orientations of the hypercube, and algebraic threshold functions
• Neural networks and physical systems with emergent collective computational abilities.
• Unnamed Item

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