• DocumentCode
    1604060
  • Title

    Application of classifier system to human support of hot strip mill operation

  • Author

    Nakano, Koichi ; Konishi, Masami ; Abe, Yoshihiro ; Ohe, Keita

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Okayama Univ., Okayama, Japan
  • fYear
    2009
  • Firstpage
    561
  • Lastpage
    566
  • Abstract
    In this paper, the application of the classifier system to human support of hot strip mill operation and making decision rules by the classifier system are described. The rule base for the correction of operation and the judgment of performance are necessary for the system that becomes agent of the human expert. The method to extract correction rules by a classifier system is shown. To search appropriate rules, the genetic algorithm is applied to the rule generation part of the classifier system. And, the usefulness of the obtained rules is confirmed through numerical experiments.
  • Keywords
    decision making; fuzzy set theory; fuzzy systems; genetic algorithms; hot rolling; intelligent manufacturing systems; knowledge acquisition; multi-agent systems; pattern classification; rolling mills; agent-based human support system; correction rule base extraction; decision making rule; fuzzy classifier system; genetic algorithm; hot rolling operation; hot strip mill operation; numerical experiment; rule generation; Control systems; Data mining; Decision making; Displays; Genetic algorithms; Humans; Mathematical model; Milling machines; Sampling methods; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asian Control Conference, 2009. ASCC 2009. 7th
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-89-956056-2-2
  • Electronic_ISBN
    978-89-956056-9-1
  • Type

    conf

  • Filename
    5276299