Application of WNN to NGN Traffic Prediction
Qigang Zhao, Qunzhan Li, Peng Hu · Jisuanji gongcheng · 2006
A model to predict IP traffic in IP-based next generation network is introduced.By using net flow traffic collecting technology,sometraffic data for the analysis have been collected from an NGN operator.To build wavelet basis Neural Network(NN),the sigmoid function isreplaced with the wavelet in NN,and wavelet multi-resolution analysis method is used to decompose the traffic signal and then the decomposedcomponent sequences is employed to train the NN.By using the methods,an NGN traffic prediction model is built to predict one day’s traffic.Theexperimental results show that the traffic prediction method of wavelet NN(WNN) is more accurate than that without using wavelt in the NGN trafficforecasting.