%0 Journal Article
%T Network traffic prediction based on compensated grey neural network model<br>基于补偿器的灰色神经网络流量预测模型
%A LIU Yuan
%A CAO Jian-hua
%A DAI Yue
%A <br>刘渊
%A 曹建华
%A 戴悦
%J 计算机应用
%D 2007
%I 
%X 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.
%K network traffic
%K grey model
%K neural network
%K neural network compensator
%K prediction<br>网络流量
%K 灰色模型
%K 神经网络
%K 神经网络补偿器
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=1FA3B2C73EF39ABE8FEB1BC68363D7D9&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=37F99AD0BDF6C2C7&eid=A07AB8F8354CD3EE&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=21