DocumentCode
2419417
Title
Applying genetic algorithms on pattern recognition: an analysis and survey
Author
Wang, Yuan-Kai ; Fan, Kuo-Chin
Author_Institution
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
740
Abstract
In this paper, a concise mode is proposed to model a fundamental pattern recognition problem. From this concise mode, three optimization subproblems of pattern recognition are discussed. The reason why genetic algorithms are appropriate for solving pattern recognition problems are explained by comparing the advantages and disadvantages of various kinds of approaches. The status of applying genetic algorithms on pattern recognition is surveyed in this paper
Keywords
genetic algorithms; pattern recognition; genetic algorithms; optimization subproblems; pattern recognition; Algorithm design and analysis; Cognition; Computer science; Feature extraction; Genetic algorithms; Information analysis; Information science; Optimization methods; Pattern analysis; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546921
Filename
546921
Link To Document