摘要
鉴于传统专家系统和神经网络的优缺点,将专家系统和神经网络相结合应用于通风机故障诊断,建立通风机故障诊断专家系统。详细介绍了神经网络学习系统、知识库和推理机制等。
There are some shortages of knowledge acquisition and inefficiency in ES. So, combines ES with ANN to construct ventilator fault diagnosis expert system. Introduces the neural network learning system, the knowledge base and the reasoning mechanism of the expert system.
出处
《煤矿机械》
北大核心
2008年第9期209-211,共3页
Coal Mine Machinery
关键词
通风机
故障诊断
神经网络
专家系统
ventilator
fault diagnosis
neural network
expert system