Title :
Construction and application of a classifier system based on genetic algorithms
Author :
Jianwu, Li ; MinQiang, Li ; Jisong, Kou
Author_Institution :
Inst. of Syst. Eng., Tianjin Univ., China
Abstract :
A kind of classifier systems based on genetic algorithms (GAs) is proposed. In the process of constructing the classifier system, the method uses GAs to adjust weights of all object attributes in all categories and membership functions of all categories synthetically to make them become harmonious and consistent. Finally, an experiment is conducted to demonstrate that this system is effective and practical.
Keywords :
fault diagnosis; fuzzy set theory; genetic algorithms; pattern classification; Euclidean space; categories; classifier system; genetic algorithms; membership functions; object attributes; Feature extraction; Fuzzy sets; Genetic algorithms; Genetic engineering; Machine learning; Modeling; Neural networks; Pattern recognition; Robustness; Systems engineering and theory;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020804
