Container Volume Forecasting of Jiujiang Port Based on SVM and Game Theory

摘要：

In recently years, Railway Bureau cooperates with port of costal cities to open sea-rail intermodal transportation, which threat inland ports along YangZi River and make the port lose some cargo volume. This paper take Jiujiang port as an example to use theory of Support Vector Machine to predict total market volume first, then calculate most possible volume that the port gain in next 5 years by Game Theory from analysis of rate, service and leading time of transportation.

关键词： Jiujiang port forecasting SVM Game Theory

作者: Dengfeng Wu Xuhua Pan

作者单位: Business School Jiujiang University Jiujiang, Jiangxi, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1035-1038

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）