• DocumentCode
    2773150
  • Title

    Non Iterative Hopfield Model

  • Author

    Edgar, A.C.S. ; Márquez, Cornelio Yánez

  • Author_Institution
    Center for Comput. Res., Nat. Polytech. Inst.
  • Volume
    2
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    137
  • Lastpage
    144
  • Abstract
    The Hopfield model has problems in the recall phase, one of them it´s the time convergence or non convergence in certain cases. We propose a model that eliminates iteration in Hopfield model. This modification in the recall phase, eliminates the iterations and for consequence takes fewer steps, after them, the recuperation of N patterns learned it´s the same or little better than Hopfield model. Finally because iteration is eliminated the recuperation time is reduced too
  • Keywords
    Hopfield neural nets; content-addressable storage; convergence; associative memory; noniterative Hopfield model; time convergence; Additive noise; Associative memory; Automotive engineering; Convergence; History; Hopfield neural networks; Neural networks; Neurons; Proposals; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference, 2006
  • Conference_Location
    Cuernavaca
  • Print_ISBN
    0-7695-2569-5
  • Type

    conf

  • DOI
    10.1109/CERMA.2006.67
  • Filename
    4019784