摘要： 知识挖掘（ＫＤＤ）应该不仅能够提供较精确的预测结果，而且提取的规则也应该是可以解释的。讨论了从预测模型中进行规则抽取的一般技术．并介绍了作者用神经网络方法抽取规则的算法．

关键词: 知识挖掘, 预测模型, 神经网络, 规则抽取

Abstract: Knowledge discovery in database (KDD) should provide not only predictions but also knowledge such as rules comprehensible to humans. This paper discusses the KDD techniques of rules extraction from prediction models and introduces the rule extraction algorithm using neural networks.