摘要
人工神经网络作为一门高度综合的交叉学科,在实际应用中绝大部分的神经网络模型是采用BP网络和它的变化形式,它也是前向网络的核心部分,体现了人工神经网络最精华的部分。该文介绍了BP网络的学习过程以及从模式识别角度应用BP神经网络作为分类器进行机械故障诊断。
The manual NN as a highly integrated chiasma subject. Most of models about NN are adopting the BP network and the changed form at the practical appliance,which is also the hard core of forward network,incarnating the essential part of NN. The paper introduces the studying process of the BP network and uses the BP network for the mechanical failure diagnoses as assorted organ in the mode identification.
出处
《电脑知识与技术》
2009年第5X期3982-3983,共2页
Computer Knowledge and Technology
关键词
BP神经网络
学习过程
模式识别
旋转机械
故障诊断
BP neural network
studying process
mode identification
revolving machine
failure diagnoses
