WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network

Journal of Intelligent Systems

Wu Zhijun¹  Ma Shaopu¹  Ma Lan² 

[1] Electronics & Information Engineering , Civil Aviation University of China, Tianjin 300300, China;School of Air Traffic Management, Civil Aviation University of China, No. 2898 Jinbei Road, Dongli District, Tianjin 300300, China;

关键词: security;    situation awareness;    prediction;    wavelet;    neural network;   

DOI  :  10.1515/jisys-2014-0004

来源: DOAJ

【 摘 要 】

The security of the civil aviation network is closely related to flight safety. Security situation prediction is the advanced stage of situational awareness in the civil aviation network. In this article, a prediction approach of security situations for the air traffic management network is proposed on the basis of the wavelet neural network. The proposed approach adopts the wavelet theory and neural network, combining a time-series forecasting method for the prediction of security situations in the civil aviation network. The experimental results show that this approach has the advantages of fast training and high prediction accuracy.

【 授权许可】

Unknown