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
Link To Document :
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