DocumentCode
381028
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
Volume
2
fYear
2002
fDate
2002
Firstpage
1364
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020804
Filename
1020804
Link To Document