Application of Support Vector Regression in Regional Logistics Requirement Forecasting

摘要：

Prediction of regional logistics requirement provides a basis for the plan of regional logistics. In the study, support vector regression is presented to predict regional logistics requirement Tbe regional logistics data from 19％ to 2006 in Shanghai municipality are used as the application data of support vector regression. The comparison of prediction error between BP neural network and support vector regression is applied to testify tbe superiority of support vector regression. The comparison results show that tbe prediction results of support vector regression are better than those of BP neural network.

关键词： support vector regression regional logistics requirement forecasting BP neural network

作者: YAN Yue

作者单位: College of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing 400067, China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 321-324

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）