LSTM network traffic prediction and link congestion warning scheme for single port and single link
To predict the traffic at single port and single link,two network traffic prediction models based on long short-term memory neural network were proposed.The first model is for the traffic which changes smoothly at large time granularity.The second model is for the nonstationary traffic which fluctua...
Saved in:
Main Authors: | Wei HUANG, Cuncai LIU, Sibo QI |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2019-12-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019066 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms
by: Tuxiang Lin, et al.
Published: (2025-01-01) -
Routing planning and handoff based on LSTM traffic prediction
by: Bin ZHUGE, et al.
Published: (2022-08-01) -
Automatic prediction for IP backbone network traffic
by: Xuan WEI, et al.
Published: (2020-08-01) -
sAMDGCN: sLSTM-Attention-Based Multi-Head Dynamic Graph Convolutional Network for Traffic Flow Forecasting
by: Shiyuan Zhang, et al.
Published: (2025-01-01) -
Prediction of Bearing Remaining Service Life Based on CNN-LSTM
by: Cai Weiwei, et al.
Published: (2022-10-01)