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

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...

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Bibliographic Details
Main Authors:	Ma Lan, Ma Shaopu, Wu Zhijun
Format:	Article
Language:	English
Published:	De Gruyter 2015-03-01
Series:	Journal of Intelligent Systems
Subjects:	security situation awareness prediction wavelet neural network
Online Access:	https://doi.org/10.1515/jisys-2014-0004

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record_format	Article
spelling	doaj-d1f12b24d2e549239a02d70a1b1edf6f2021-09-06T19:40:35ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2015-03-01241556710.1515/jisys-2014-0004WNN-Based Prediction of Security Situation Awareness for the Civil Aviation NetworkMa Lan0Ma Shaopu1Wu Zhijun2School of Air Traffic Management, Civil Aviation University of China, No. 2898 Jinbei Road, Dongli District, Tianjin 300300, ChinaElectronics & Information Engineering , Civil Aviation University of China, Tianjin 300300, ChinaElectronics & Information Engineering , Civil Aviation University of China, Tianjin 300300, ChinaThe 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.https://doi.org/10.1515/jisys-2014-0004securitysituation awarenesspredictionwaveletneural network
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ma Lan Ma Shaopu Wu Zhijun
spellingShingle	Ma Lan Ma Shaopu Wu Zhijun WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network Journal of Intelligent Systems security situation awareness prediction wavelet neural network
author_facet	Ma Lan Ma Shaopu Wu Zhijun
author_sort	Ma Lan
title	WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network
title_short	WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network
title_full	WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network
title_fullStr	WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network
title_full_unstemmed	WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network
title_sort	wnn-based prediction of security situation awareness for the civil aviation network
publisher	De Gruyter
series	Journal of Intelligent Systems
issn	0334-1860 2191-026X
publishDate	2015-03-01
description	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.
topic	security situation awareness prediction wavelet neural network
url	https://doi.org/10.1515/jisys-2014-0004
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WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network

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