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基于改进神经常微分方程网络的网络通信带宽预测方法

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为降低通信带宽预测的误差,提出基于改进神经常微分方程网络的预测方法,通过定义带宽预测并建立数学方程,拆分历史带宽序列,利用残差网络提取特征,再用改进网络融合时序特征和影响因素,实现精准预测.实验结果显示,该方法预测误差低于0.1,丢包率低于0.1%,显著提升了预测精度,可有效优化网络通信资源配置,提升通信性能.
Bandwidth Prediction of Network Communication Based on Improved God Common Differential Equation Network
To reduce the error of communication bandwidth prediction,a prediction method based on an improved Shen Chang differential equation network is proposed.By defining band-width prediction and establishing mathematical equations,historical bandwidth sequences are split,residual networks are used to extract features,and then the improved network integrates temporal features and influencing factors to achieve accurate prediction.The experimental results show that the prediction error of this method is less than 0.1,and the packet loss rate is less than 0.1%,significantly improving the prediction accuracy.It can effectively optimize the allocation of network communication resources and improve communication performance.

improve god often differential equation networknetwork communicationband-widthpredictionresidual networkhyperbolic cosine error

赵克勤、王璇

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中原科技学院,信息工程学院,河南许昌 461000

改进神经常微分方程网络 网络通信 带宽 预测 残差网络 双曲余弦误差

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(12)