摘要
由于网络故障不可避免，这就要求对网络出现的故障进行管理。但是网络故障信息通常表现出复杂和不确定性的特点，要准确的对故障进行检测和定位是相当困难的，特别是故障定位。重点分析了故障定位的原理基础上．介绍了利用专家系统、神经网络和贝叶斯网络等人工智能技术，对症状和故障之间的因果关系进行推理的故障定位技术。
As the network failure is incvitable,which requires to manage the network. However, network fault information is usually shown by the complexity and uncertainty of the characteristics,it is necessary for accurate fault detection and location is very difficult, especially the fault location.Focus on the analysis of the fault location based on the principle, introduced artificial intelligence technology such as expert systems, neural networks and Bayesian networks,and the symptoms of failure to carry out the causal link between the reasoning of the fault location technology.
作者
张燕
ZHANG Yan （Suzhou Vocational University, Suzhou 215104,China）
出处
《电脑知识与技术》
2009年第11期8668-8669,8677,共3页
Computer Knowledge and Technology
关键词
故障诊断
故障定位
专家系统
神经网络
贝叶斯网络
fault diagnosis
fault localization
exper system
neural network
bayesian network
