Title: Network Fault Diagnosis Based on Rough Sets and BP Neural Network
Abstract: To deal with the problems of redundancy of network fault diagnosis,the knowledge base and Low Accuracy of neural network model combined with PCAand DS evidence theory are presented in this paper.A new fault diagnosis model of computer network based on rough set and BP neural network is engineered,in which many fault features of computer network are retrieved.These features are then reduced to the minimum diagnosis rules using rough set.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 detection accuracy.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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