Traffic Prediction of Space-Integrated-Ground Information Network Based on Improved LSTM Algorithm

Traffic Prediction of Space-Integrated-Ground Information Network Based on Improved LSTM Algorithm

The space-integrated-ground information network is easy to interrupt and the traffi c fl uctuation is not stable due to the problems of high traffi c burst and topological time-varying, which makes the traffi c prediction diffi cult much higher than the ground.In order to solve this problem, an impr...

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Bibliographic Details
Main Authors: Chengsheng PAN, Yufu WANG, Li YANG
Format: Article
Language:zho
Published: Post&Telecom Press Co.,LTD 2020-12-01
Series:天地一体化信息网络
Subjects:
space-integrated-ground information network
traffi c prediction of network
deep learning
traffi c autocorrelation
Online Access:http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.20200208/
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http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.20200208/

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