DocumentCode
461675
Title
A fast Genetic Fuzzy approach and its application in Classifier Fusion
Author
Liu, Ming ; Yuan, Baozong ; Chen, Jiangfeng ; Miao, Zhenjiang
Author_Institution
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume
3
fYear
2006
fDate
16-20 2006
Abstract
This paper proposes a new genetic fuzzy approach, in which the traditional method for generating the initial population and the cross operator are improved. Our new method is tested on classifier fusion problem, and the experimental results show it outperform other classifier combination methods in the classification accuracy
Keywords
fuzzy set theory; image classification; image fusion; classifier fusion; genetic fuzzy approach; Biological cells; Design methodology; Electronic mail; Fusion power generation; Fuzzy sets; Fuzzy systems; Genetics; Information science; Testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345776
Filename
4129207
Link To Document