Diversity-based case base maintenance

被引:0
|
作者
Yang, LZ [1 ]
Ha, MH [1 ]
Wang, XZ [1 ]
机构
[1] Hebei Univ, Fac Math & Comp Sci, Machine Learning Ctr, Badoing, Hebei, Peoples R China
关键词
relative diversity; evolution strategy; case base maintenance;
D O I
10.1109/ICMLC.2003.1259750
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Three algorithms are proposed for maintaining a case base. Different from other algorithms that have been proposed for updating a case base, the diversity of cases (relative to each other) plays an important role in these new algorithms. Specifically, these algorithms combine similarity and diversity of cases together for determining a new case base. Experimental results demonstrate that these algorithms can greatly reduce the size of a case base without comprising its competence, especially for the algorithm based on evolution strategies (ESs).
引用
收藏
页码:1591 / 1596
页数:6
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