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《Information Recording Materials》 2018-02
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Research on Key Technologies of intelligent diagnosis of network

Mao Zhixiong;Xing Jiang;Zhang Ting;Hubei Normal University College of Computer Science And Technology;Huangshi Center for Disease Control and prevention of Hubei Province;  
Network fault diagnosis as the main part of network fault management, will have a direct impact on the stability and reliability of network. Based on this, this paper starts from the network fault analysis, analyzes the key technology of intelligent fault diagnosis network and the need to improve the part, researchers need to improve Two figure model, fault location using Lagrange relaxation method, and uses The L optimal fault test technology and Neural network diagnosis technology, based on the above analysis, the construction of network fault management system, the system can effectively realize the intelligent network fault diagnosis.
【CateGory Index】: TP393.06
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