• DocumentCode
    947276
  • Title

    Design of nonlinear stochastic learning automata

  • Author

    Neville, R.G. ; Nicol, C.R. ; Mars, P.

  • Author_Institution
    Robert Gordon´´s Institute of Technology, School of Electronic and Electrical Engineering, Aberdeen, UK
  • Volume
    14
  • Issue
    13
  • fYear
    1978
  • Firstpage
    396
  • Lastpage
    397
  • Abstract
    The hardware design of nonlinear stochastic learning automata using adpative digital logic elements is considered. Such techniques, based on digital stochastic computing, are shown to provide faster convergence rates than automata based on linear learning algorithms. Experimental results are presented and validation obtained for theoretical predictions concerning optimal convergence.
  • Keywords
    learning systems; logic design; special purpose computers; stochastic automata; adaptive digital logic elements; convergence rates; digital stochastic computing; hardware design; nonlinear stochastic learning automata; optimal convergence;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19780267
  • Filename
    4242545
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=947276