Network traffic prediction based on Grey Neural Network Integrated model

被引：0
作者：
Liu, Yuan [1 ,2 ]
Cao, Jianhua [3 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Comp, Nanjing, Jiangsu, Peoples R China
[2] JiangNan Univ, Digital Media Res Ctr, Wuxi, Peoples R China
[3] JiangNan Univ, Coll Informat Engn, Wuxi, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
network traffic; grey model; neural network; neural network compensator; prediction;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
To measure the workload and state of network operation, a predictable algorithm based on the grey model, neural network and compensator error is present in this paper. The new algorithm has a prominent effect in reflecting the variable trend of data. The simulation results show that the integrated model can improve the prediction precision obviously compared to the other algorithms.
引用
收藏
页码：4360 / +
页数：2
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