The investigation of the spin glass properties of the Hopfield neural network model


YAŞAR F.

INTERNATIONAL JOURNAL OF MODERN PHYSICS C, cilt.16, ss.427-437, 2005 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 16 Konu: 3
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1142/s0129183105007224
  • Dergi Adı: INTERNATIONAL JOURNAL OF MODERN PHYSICS C
  • Sayfa Sayıları: ss.427-437

Özet

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 +/- 1 values 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.