Network operation situation awareness based on Fuzzy Neural Network

被引:0
|
作者
Fu, Zhongyang [1 ]
Li, Xingming [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Sichuan, Peoples R China
来源
2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1 | 2018年
基金
中国国家自然科学基金;
关键词
network operation situation awareness; network situation awareness; fuzzy neural network;
D O I
10.1109/ISCID.2018.00053
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to solve the problem of consistency and stability in network operation situation awareness, this paper proposed a network operation situation awareness model based on fuzzy neural network. This method combines the fuzzy system with the neural network, making full use of the advantages of the two, and making up their shortcomings. Firstly, propose a real-time link weight strategy (RTWEM). Then, make up a fuzzy neural network model, using a mixed algorithm combine particle swarm algorithm (PSO) with BP algorithm, which can gain each link operation performance evaluation. Finally, link operation performance evaluation can be improved to the whole network operation situation with real-time link weight. Simulation results show that the proposed method is effective. And the model can not only get the situation of the whole network, but also get the status of the single link, which is of great significance to modern network management.
引用
收藏
页码:204 / 207
页数:4
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