Nonlinear network traffic prediction based on BP neural network

The traditional network traffic analysis is based on linear model,but the traffic actually behaves as a nonlinear system due to complex topology and network behavior.With a large amount of real traffic data collected from the actual network,a nonlinear network traffic model based on artificial neural network(ANN) theory was constructed to predict the network traffic.Compared with the traditional linear module,this model has better precision,adaptability and robustness.