Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm

被引：0
|
作者：
WANG Wen-jian
机构：
来源：
Journal of Systems Science and Systems Engineering | 2002年 / 02期
关键词：
rule extraction; neural network; genetic algorithm; knowledge discovery in database(KDD); data mining(DM);
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of network connections and output values have already been demonstrated to be intractable in that the scale-up factor increases with the number of nodes and connections in the network. Some experiments explaining effectiveness of the presented method are given as well.
引用
收藏
页码：240 / 245
页数：6
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