关键词: 网络流量, 灰色模型, 神经网络, 灰色神经网络, 神经网络补偿器, 预测

Abstract: The network traffic is the important parameter that measures the burden of network movement and network appearance.It also plays an important role in network layout，traffic anagement.In traffic management，traffic model is used to evaluate the mechanism of join control and predict network performance.The grey model and neural network have good effect in reflecting the variable trend of data.With the development of grey neural network theory and its widely used，many improved and new generation methods have been proposed.On the research of neural network，this paper added a compensated error.so the prediction value equals to the output value of grey neural network model plus the compensated error signal.The simulation resuluts show that the integrated model can improve the prediction precision obviously compared to the other algorithm.

Key words: network traffic, grey model, neural network, grey neural network, neural network compensator, prediction