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.
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;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345776
