Fault Diagnosis of Computer Network Based on Rough Sets and BP Neural Network

A new fault diagnosis model of computer network based on rough set and BP neural network is put forward in this paper. Many fault features of computer network are retrieved, then they are reduced to the minimum diagnosis rules by rough set. And the minimum diagnosis rules are trained by BP neural network. The simulation results indicate that the new fault diagnosis model has higher learning efficiency, faster speed of diagnosis and higher diagnosis accuracy. It can find the types and the locations of computer network faults quickly and accurately.