The Systematic Simulations of the Hopfield Model by Multicanonical Algorithm

YAŞAR F., DİLAVER M.

CHINESE JOURNAL OF PHYSICS, cilt.47, sa.2, ss.226-237, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Sayı: 2
  • Basım Tarihi: 2009
  • Dergi Adı: CHINESE JOURNAL OF PHYSICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.226-237
  • Hacettepe Üniversitesi Adresli: Evet

Özet

We have applied a multicanonical algorithm in systematic simulations of the Hopfield neural network model, with emphasis on the spin glass region in phase space. All simulations and measurements were done for several storage capacities. Thermodynamic quantities, such as the average energy and specific heat, have been evaluated at all temperatures along with the Edwards-Anderson order parameter. It was observed that, while the purely spin glass region of the model shows a single peak behavior in the specific heat, the mixture region shows either a single or double peak in the specific heat. Also, the Edwards-Anderson order parameter for the purely spin glass region indicated many thermodynamic states at low-temperatures, as expected.