A kind of fault diagnosis research based on improved SOM-BP composite neural network

As computer networks continue to grow in size and complexity, fault management in today´s high speed telecommunications networks is becoming even more difficult. In this paper some existing approach for network fault diagnosis are firstly discussed. It concentrates on analyzing the alarm propagation in the Wide Area Network and a model of fault diagnosis is then proposed. Due to the complex nonlinear relation between breakdown mode and characteristic parameters of computer network, the SOM-BP composite neural network is used. The performance analysis carried out shows SOM to be a fast and efficient method for fault diagnosis in WAN.