A Risk Prediction Model of Construction Enterprise Human Resources Based on Support Vector Machine

摘要：

In order to solve the problem of large Sample and low resolution problems in predicting the risk of human resource of construction enterprises,a new method based on support vector machine is proposed in this paper. By introducing the theoretical base of SVM(support vector machine),the model based on SVM can rationally solve the large sample and low resolution problems in Genetic Algorithm and other prediction method. For illustration, a risk prediction of human resource in construction enterprises example is utilized to show the feasibility of the SVM model in solving predicting problem. The final results show that the SVM model is a new and effectual method for predicting the risk of human resource in construction enterprises and provide a new research thought and method for predicting risk in other fields.

关键词： Support Vector Machines construction enterprises risk of human resources prediction

作者: Wanqing Li Shipeng Xu Wenqing Meng

作者单位: School of Economics and Management HeBei University of Engineering Handan, China School of Civil Engineering HeBei University of Engineering Handan, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 945-948

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）