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Replica Symmetry Breaking In Neural Networks With Non-Monotone Activation Function

Author

Listed:
  • A. LAMURA

    (Dipartimento di Fisica, dell'Universita' di Bari, 70100 Bari, Italy)

  • C. MARANGI

    (Istituto Nazionale di Fisica Nucleare and Istituto per Ricerche di Matematica Applicata, CNR, 70100 Bari, Italy)

  • G. NARDULLI

    (Dipartimento di Fisica, dell'Universita' di Bari and Istituto Nazionale di Fisica Nucleare, 70100 Bari, Italy)

Abstract

In this paper we analyze replica symmetry breaking in attractor neural networks with non-monotone activation function. We study the non-monotone version of the Edinburgh model, which allows the control of the domains of attraction by the stability parameterK, and we compute, at one step of symmetry breaking, storage capacity and, for the strongly dilute model, the domains of attraction of the stable fixed points.

Suggested Citation

  • A. Lamura & C. Marangi & G. Nardulli, 1996. "Replica Symmetry Breaking In Neural Networks With Non-Monotone Activation Function," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 19-32.
    • Handle: RePEc:wsi:ijmpcx:v:07:y:1996:i:01:n:s012918319600003x
    DOI: 10.1142/S012918319600003X
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    Keywords

    Attractor Neural Networks; Replica Method;

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