An evolutionary approach to concept learning with structured data

被引：0
|
作者：
Kennedy, CJ [1 ]
Giraud-Carrier, C [1 ]
机构：
[1] Univ Bristol, Dept Comp Sci, Bristol BS8 1UB, Avon, England
来源：
ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS | 1999年
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：
This paper details the implementation of a strongly-typed evolutionary programming system (STEPS) and its application to concept learning from highly-structured examples. STEPS evolves concept descriptions in the form of program trees. Predictive accuracy is used as the fitness function to be optimised through genetic operations. Empirical results with representative applications demonstrate promise.
引用
收藏
页码：331 / 336
页数：6
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