Network Operation Situation Awareness Based on Fuzzy Neural Network
| Autor: | Zhongyang Fu, Xingming Li |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Situation awareness Computer science business.industry 05 social sciences Stability (learning theory) Fuzzy control system Link weight 030204 cardiovascular system & hematology 03 medical and health sciences Network management Consistency (database systems) 0302 clinical medicine 0502 economics and business 050211 marketing Artificial intelligence business Link (knot theory) |
| Zdroj: | ISCID (1) |
| DOI: | 10.1109/iscid.2018.00053 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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