• DocumentCode
    1310862
  • Title

    Use of learning automata in distributed fuzzy logic processor training

  • Author

    Ikonen, E. ; Najim, K.

  • Author_Institution
    Dept. of Process Eng., Oulu Univ., Finland
  • Volume
    144
  • Issue
    3
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    255
  • Lastpage
    262
  • Abstract
    A new algorithm for training the parameters of a distributed logic processor is suggested, based on learning automata. A fuzzy inference system is implemented on a multilayer perceptron platform. Various possibilities for assigning learning automata are discussed and two assignment strategies are proposed. The behaviour of the resulting algorithm is illustrated using flue-gas NOx emission data measured from an industrial-size fluidised-bed combustor
  • Keywords
    distributed algorithms; fuzzy logic; inference mechanisms; knowledge based systems; learning automata; multilayer perceptrons; distributed fuzzy logic processor training; flue-gas NOx emission data; fuzzy inference system; industrial-size fluidised-bed combustor; learning automata; multilayer perceptron platform; parameter training;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19970949
  • Filename
    600623
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1310862