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The Investigation Of The Spin Glass Properties Of The Hopfield Neural Network Model

Author

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  • FATİH YAŞAR

    (Department of Physics Engineering, Hacettepe University, Ankara, Turkey)

Abstract

In this work, the Hopfield neural network model with infinite-range interactions is simulated by using the multicanonical algorithm. All simulations and measurements are done in spin glass states of the model with discrete± 1values of the random variables. Physical quantities such as the energy density, the ground-state entropy and the order parameters are evaluated at all temperatures. Our results in the spin glass region show multiple degenerate ground-states and good agreement with the replica symmetry mean field solutions.

Suggested Citation

  • Fati̇h Yaşar, 2005. "The Investigation Of The Spin Glass Properties Of The Hopfield Neural Network Model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 427-437.
    • Handle: RePEc:wsi:ijmpcx:v:16:y:2005:i:03:n:s0129183105007224
    DOI: 10.1142/S0129183105007224
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