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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| 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: | |
| Online Access: | http://www.j-sigin.com.cn/thesisDetails#10.11959/j.issn.2096-8930.20200208 |
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