火力与指挥控制2024，Vol.49Issue(3)：101-110,118,11.DOI:10.3969/j.issn.1002-0640.2024.03.014
基于BO-LSTM神经网络的地面无人系统网络时延分析
The Network Time Delay Analysis of Unmanned Ground System Based on BO-LSTM Neural Network
王鑫鑫 1田卫萍 1田野 1刘超 1党国龙1
作者信息
- 1. 北方自动控制技术研究所,太原 030006
- 折叠
摘要
Abstract
According to the unmmanded ground system remote controlled by wireless communication network,the impact of network time delay on ground unmanned systems during operation is analyzed.Based on the distribution characteristics of network delay,the Bayesian algorithm(BO)optimized long-term and short-term memory(LSTM)neural network time delay prediction model is proposed,and the model is built on the Matlab software,the model is trained by network time delay training set data.The well trained model is tested on network time delay test set data.Finally,the test effects,GRU,BO-GRU and LSTM predication method are compared by the evaluation indexes of R2,,RMSE and MAE.The results show that the Bayesian algorithm(BO)optimized long-term and short-term memory(LSTM)neural network time delay prediction model RMSE and MAE have lower evaluation results,higher prediction accuracy and better prediction effect,the effectiveness of the proposed network delay prediction model is verified.关键词
无线通信网络/地面无人系统/网络时延/神经网络/时延预测Key words
wireless communication network/ground unmanned system/network delay/neural network/time-delay forecast分类
信息技术与安全科学引用本文复制引用
王鑫鑫,田卫萍,田野,刘超,党国龙..基于BO-LSTM神经网络的地面无人系统网络时延分析[J].火力与指挥控制,2024,49(3):101-110,118,11.
