• DocumentCode
    2722522
  • Title

    Extension of hierarchically classifier system using self GA invocation

  • Author

    Endoh, Satoshi ; Kawakami, Hiroshi ; Ohuchi, Azuma

  • Author_Institution
    Dept. of Inf. Eng., Ryukyus Univ., Japan
  • Volume
    4
  • fYear
    1996
  • fDate
    14-17 Oct 1996
  • Firstpage
    2534
  • Abstract
    In classifier system techniques, an effective mechanism for forming and maintaining rule-set association is proposed. The improvement of efficiency is discussed. The experiments showed the effectiveness of the multiple level hierarchical structured classifier system and self-GA invocation method
  • Keywords
    genetic algorithms; hierarchical systems; knowledge based systems; learning systems; pattern classification; pattern matching; efficiency; genetic algorithm; hierarchically classifier system; learning systems; mutation; pattern classification; pattern matching; rule clustering; rule-set association; self GA invocation; Control systems; Genetic algorithms; Genetic mutations; Laboratories; Learning systems; Message systems; Monitoring; Power engineering and energy; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1996., IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-3280-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.1996.561328
  • Filename
    561328
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2722522