Ad Hoc network traffic prediction based on the Elman neural network

被引：0
|
作者：
Ding, Yuanming [1 ,2 ]
Gao, Jiayao [2 ,3 ]
Wang, Xue [3 ]
机构：
[1] Dalian Univ, Network Technol Engn Lab Smart Shipping & Logist, 10 Xuefu St, Dalian 116622, Peoples R China
[2] Dalian Univ, Key Lab Commun Networks & Informat Proc, Dalian 116622, Peoples R China
[3] Dalian Univ, Coll Informat Engn, Dalian 116622, Peoples R China
来源：
PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2015年 / 35卷
关键词：
Traffic prediction; improved Elman neural network; Ad Hoc network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For complex Ad Hoc network environment, based on Elman neural network prediction model, using particle swarm optimization algorithm to optimize the original Elman BP training can find the global optimization thresholds and weights of the neural network layers, and a modified Elman neural network model is proposed to predict the Ad Hoc network node traffic. According to Ad Hoc network node traffic data obtained by simulation in NS-2, network traffic predict experiment results show that the modified Elman neural network model has improved compared to the previous Elman neural network model and has a lower error and higher prediction accuracy.
引用
收藏
页码：1678 / 1683
页数：6
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