A method of data classification based on parallel genetic algorithm

被引：0
|
作者：
Shi, YX [1 ]
Meng, ZQ
Cai, ZX
Benhabib, B
机构：
[1] Xiangtan Univ, Sch Informat Engineer, Xiangtan 411105, Peoples R China
[2] Cent S Univ, Sch Informat Engineer, Changsha 410082, Peoples R China
[3] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An effectual genetic coding is designed by constructing full-classification rule set. This coding results in full use of all kinds of excellent traits of genetic algorithm in data classification. The genetic algorithm is paralleled in process, So this leads to the improvement of classification and its ability to deal with great data. Some defects of current classifier algorithm are tided over by this algorithm. The analysis of experimental results is given to illustrate the effectiveness of this algorithm.
引用
收藏
页码：1217 / 1222
页数：6
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