Prediction of Internet Traffic Based on Elman Neural Network
Predicting internet traffic is needed for effective dynamic bandwidth allocation and for quality-of-service (QoS) control strategies implemented at the network edges. In this paper, a method is presented to model and predict the internet traffic based on Elman neural network(Elman-NN). The traffic is viewed as a time series, which is nonlinear and variant functions. An Elman neural network is employed to model the relationship with a satisfactory accuracy, and the Elman NN-based traffic model is used to conduct prediction for the future traffic. The simulation results show that this method is feasible and efficient to model and predict the traffic.
Internet traffic Elman Neural network Modeling Prediction
Wang Junsong Wang Jiukun Zeng Maohua Wang Junjie
Tianjin University of Technology and Education, Tianjin, 300222. Dagang Oil Field, Tianjin, 300280
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1248-1252
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）