Air traffic flow prediction based on least squares support vector regression

摘要：

Air traffic flow prediction is the very important to make up the development strategy. Least squares support vector regression is a kind of improved support vector regression,which has stronger prediction ability than support vector regression. Thus, least squares support vector regression is proposed in the Air traffic flow prediction. Grid method is applied to gain the parameters of least squares support vector regression. Air traffic flow from 1993 to 2005 in east China is applied in the experiment to testify the effectiveness of the proposed method.Therefore, least squares support vector regression prediction is very high application values in the Air traffic flow prediction.

关键词： Air traffic flow least squares support vector regression prediction model optimization conditions

作者: Lu Zhi-Guo Wang Tao

作者单位: School of Computer Science, Sichuan University,Chengdu 610064, China Key Laboratory of Fundamental S School of Computer Science, Sichuan University, Chengdu 610064, China Key Laboratory of Fundamental

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 5-8

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）