摘要
针对铁路车站信号设备复杂故障分类决策问题,提出并建立基于ID5R算法的故障诊断知识表示与知识库开发的实际应用方法。最后,通过实例分析验证应用ID5R算法建立故障诊断专家系统知识库的有效性。
According to the classification decision questions of the complex railway signals malfunctions diagnosis, it was given the practical application way of knowledge representation and knowledge base development based on IDSR algorithm. Through an instance, it was proved the algorithm which was useful to form the knowledge base of Malfunctions Diagnosis Expert System.
出处
《铁路计算机应用》
2005年第11期6-9,共4页
Railway Computer Application
关键词
熵
ID5R算法
决策树学习
故障诊断
entropy
ID5R algorithm
decision tree learning
malfunctions diagnosis