Application of Nonlinear Combination Prediction Model for Network Traffic

摘要

To improve the network traffic prediction result, the paper put forward a nonlinear combination prediction model of network traffic flow. First, the single models of ARIMA, ARMA, GM (1, 1) were used in the prediction of characteristics of network traffic. Then three predicting results were input to a support vector machine for data fusion to obtain the final forecasting result. The simulation results show that, compared with the other network traffic prediction models, the nonlinear combination forecasting model can well reflect the complex changes in network traffic, thereby improves the prediction accuracy of network traffic.