• DocumentCode
    2615004
  • Title

    Towards a fully parallel stochastic Hopfield neural network

  • Author

    Torralba, A. ; Colodro, F.

  • Author_Institution
    Dpto. de Ingenieria Electron., Seville Univ., Spain
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    2741
  • Abstract
    The authors present two digital circuits to implement a fully parallel stochastic Hopfield neural network (SHNN). In a parallel SHNN all the n × n stochastic signals sij that pulse with probability proportional to the synapse inputs are simultaneously available. The proposed circuits calculate the function Fi that accumulates the number of positive (negative) stochastic input pulses to neuron i
  • Keywords
    Hopfield neural nets; neural chips; digital circuits; fully parallel neural net; stochastic Hopfield neural network; stochastic input pulses; stochastic signals; synapse inputs; Adders; CMOS technology; Convergence; Counting circuits; Hopfield neural networks; Logic circuits; Neurons; Propagation delay; Registers; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.394334
  • Filename
    394334
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2615004