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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.561328
