A New Model for Highway Freight Traffic Volumes Forecasting Based on Grey Theory and Statistical Learning Theory

摘要：

On the base of analyzing the advantages and the disadvantages of grey forecasting methods and support vector regression machine (SVR), synthesizing the both and constructed a new model, grey support vector regression machine and its arithmetic. Moreover, test and compare the availability and reliability of the model via the example. The simulation results show that the new model is one of the effective methods for forecasting.

关键词： Grey Forecasting Support Vector Regression Machine (SVR) Highway Freight Traffic Volume GM(1,1) Model

作者: CHEN Dongdong PENG Qiyuan

作者单位: College of Logistics, Southwest Jiaotong University, P.R.China, 610031 Economic Management College, College of Traffic and Transportation, Southwest Jiaotong University, P.R.China, 610031

会议类型: 国际会议

会议名称: 2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2008-08-14（万方平台首次上网日期，不代表论文的发表时间）