| Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm |
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| 作者姓名： | WANGWen－jian ZHANGLi－xia |
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| 作者单位： | WANG Wen-jian，ZHANG Li-xia 1. Department of Computer Science，Shanxi University，Taiyuan 030006，China2. Department of Computer Science，Henan Normal University，Xinxiang 453002，China |
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| 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.
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| 关 键 词： | 人工神经网络 遗传算法 知识萃取 |
Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm |
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| WANG Wen-jian,ZHANG Li-xia.Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm[J].Journal of Systems Science and Systems Engineering,2002,11(2):240-245. |
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| Authors: | WANG Wen-jian ZHANG Li-xia |
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| Institution: | 1. Department of Computer Science, Shanxi University, Taiyuan 030006, China
2. Department of Computer Science, Henan Normal University, Xinxiang 453002, China |
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| Abstract: | 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. |
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| Keywords: | rule extraction neural network genetic algorithm knowledge discovery in database(KDD) data mining(DM) |
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