In combination prediction of IP network traffic, the single model's mathematical characteristic, prediction accuracy and weight coefficient have significant impact on combination prediction results. As the grey model can depict linearity characteristics of network traffic and the BP neural network model can depict the non-stationary and non-linear characteristics, a Fuzzy Self-Adaptive Variable-Weight Combination Prediction Model (FSVCPM) was composed of them. To improve the prediction accuracy of single model as far as possible, a improved res...
