Supporting vector-machine prediction of network traffic

In order to improve the accuracy of traffic forecasts, it´s important to apply the supporting vector regression in prediction of network traffic. This paper introduced key factors in supporting vector-machine regression modeling, and this model is applied to calculate the actual network traffic prediction, which compared with the BP neural network model. The results showed that supporting vector-machine regression model has better anti-noise ability, generalization ability and higher prediction accuracy, it can be a magnificent prediction of network traffic.