摘要
将人工神经网络和基于案例的推理技术(case-based reasoning,CBR)结合用于汽车发动机故障诊断系统中,介绍了神经网络与CBR结合模型,阐述了案例的表示、检索和神经网络模块等,实例诊断表明,神经网络和CBR方法的结合有效地弥补了传统神经网络和CBR方法的缺陷。
Artificial neural network and case- based reasoning is applied to engine fault diagnosis system, the union model of artificial neural network and ease - based reasoning are introduced. Elaborated the ease expression, the retrieval and the neural network module and so on. The example results showed that the neural network and the CBR method union effective have made up the tradition neural network and the CBR method flaw.
出处
《煤矿机械》
北大核心
2007年第3期188-190,共3页
Coal Mine Machinery
关键词
人工神经网络
基于案例推理
故障诊断
发动机
artificial neural network
case- based reasoning
fault diagnosis
engine
