Network Flow Prediction Based on Grey-Support Vector Regression Technology

摘要：

In order to solve the shortcoming of BP neural network,a novel prediction method is presented to predict network flow.The combination of grey prediction model and support vector regression is applied to predict network flow in the paper.We employ collected network flow experimental data to test the performance of the combination model of grey prediction model and support vector regression.The mean relative error of grey prediction model and support vector regression is 1.94,while the mean relative error of BP neural network is 3.43.It can be seen that the combination model of grey prediction model and support vector regression is superior to BP neural network.

关键词： grey forecasting technology support vector regression network flow

作者: Li Yuan Liu Hua Liu Zhi-guo

作者单位: ShiJiaZhuang College ShiJiaZhuang 050035,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 321-324

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）