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本文利用神经网络方法和粗集理论方法,从原始网络管理信息库MIB中提取网络故障征兆信息,自动创造和维护网络故障诊断知识库,实现网络故障的提前告警和故障原因的关联分析。利用这一方法可以从网络管理信息库中学习和了解网络系统的深层次行为。
In this paper, the network fault symptom information is extracted from the original network management information base MIB by neural network method and rough set theory method to automatically create and maintain the network fault diagnosis knowledge base so as to realize the correlation analysis of network failure advance warning and fault reason. Using this method, you can learn and understand the deep-seated behaviors of the network system from the network management information base.