| 基于自适应学习算法的智能代理网络故障监测 |
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| 引用本文： | 李佳,张斌,喻莉,石冰心. 基于自适应学习算法的智能代理网络故障监测[J]. 华中科技大学学报(自然科学版), 1998, 0(12) |
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| 作者姓名： | 李佳 张斌 喻莉 石冰心 |
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| 作者单位： | 华中理工大学电子与信息工程系 |
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| 基金项目： | 国家“九五”重点科技攻关项目 |
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| 摘 要： | 提出一种基于自适应学习算法的故障监测智能代理，通过分段测量抽取描述网络正常行为的ＭＩＢ变量值并检测偏差，对学习获得的信息经由贝叶斯图加以组合，从而鉴别未知的或不可预见的故障．实验结果表明，智能监测代理系统能够在故障发生以前检测网络异常行为．
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| 关 键 词： | 网络故障管理；管理信息库；简单网络管理协议；贝叶斯图；自适应学习算法；智能代理 |
Network Fault Detecting by the Intelligent Agent Based on Adaptive Learning Algorithm |
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| Li Jia Zhang Bin Yu Li Shi Binxing. Network Fault Detecting by the Intelligent Agent Based on Adaptive Learning Algorithm[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 1998, 0(12) |
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| Authors: | Li Jia Zhang Bin Yu Li Shi Binxing |
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| Affiliation: | Li Jia Zhang Bin Yu Li Shi Binxing |
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| Abstract: | An intelligent agent for fault detecting is proposed based on adaptive learning algorithm. By segmentaly measuring, MIB variable for describing network the normal behavior is extracted and the deviation is detected. This information is combined by the means of Bayesian Graph so as to identify unknown or unpredictable faults. The experimental results show that the intelligent agent can detect network abnormal behavior before a fault actually occurs. |
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| Keywords: | network fault management MIB SNMP Bayesian Graph adaptive learning algorithm intelligent agent |
| 本文献已被 CNKI 等数据库收录！ |
