Colleges employment forecasting by least squares support vector machine

摘要：

Colleges employment forecasting based on least squares support vector machine is proposed in the paper. Least squares support vector machine is an improved support vector machine,which can use equality constraints for the error instead of inequality constraints. Colleges employment rate of Xinjiang agricultural university from 1997 to 2006 is used to show the effectiveness of least squares support vector machine.The comparison results of forecasting error for colleges employment rate between least squares support vector machine and BP neural network indicate that least squares support vector machine has a higher forecasting accuracy than BP neural network.

关键词： colleges employment forecasting technology least squares support vector machine regression function practical application

作者: Lv Jing Zhang Yanqing

作者单位: Harbin University of Science and Technology Harbin 150080,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 169-172

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）