• DocumentCode
    2648350
  • Title

    Temporal association in symmetric neural networks

  • Author

    Hiroike, Atsushi ; Omori, Takashi

  • Author_Institution
    Tokyo Univ. of Agric. & Technol., Japan
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    2183
  • Abstract
    The authors study temporal association in a stochastic neural network model with symmetric full-connections. A symmetric system is accessible to analysis because of the existence of free-energy. The properties of the model are analytically described by critical temperature of transition between states. The result of the analysis is consistent with Monte Carlo simulations
  • Keywords
    neural nets; Monte Carlo simulations; critical temperature; state transition; stochastic neural network model; symmetric neural networks; temporal association; Agriculture; Hopfield neural networks; Intelligent networks; Limit-cycles; Neural networks; Neurons; Psychology; Stochastic processes; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170711
  • Filename
    170711
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2648350