A wavelet neural network model of network traffic forecast
一种网络流量预测的小波神经网络模型

Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN ) model for forecasting network traffic was created. First, the traffic time series were decomposed to the scaling coefficient series and wavelet coefficient series. Taking the coefficient series as input while original time traffic series as output, an artificial neural network was established and trained. The simulation results on real network traffic show that WNN model is more successful than traditonal methods in network traffic prediction.