Network traffic prediction based on compensated grey neural network model
基于补偿器的灰色神经网络流量预测模型

To measure the workload and state of network operation, a predictable algorithm based on the grey model, neural network and component error was presented. The present network traffic model has been studied, and the prominent effect in reflecting the variable trend of data has been combined with the grey model and neural network. The simulation results show that the integrated model can improve the prediction precision obviously compared to the other algorithms.