【作者】 毕路拯； 李志祥； 吴平东； 刘莹； 陈冬冰； 王刚；

【Author】 BI Lu-zheng , LI Zhi-xiang, WU Ping-dong ,LIu Ying ,CHEN Dong-bing ,Wang Gang(School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081,China; School of Management and Economics, Beijing Institute of Technology, Beijing 100081 ,China)

【机构】 北京理工大学机械与车辆工程学院； 北京理工大学经济与管理学院；

【摘要】 本文对脑信息特征和它的宏观检测方法进行了介绍,并以管理人员和技术人员选拔为例介绍了基于脑信息特征的人才选拔的决策模型的确定方法。首先通过脑信息处理宏观检测方法得到管理人员和技术人员表征脑信息特征的数据,根据这些数据利用基于统计学习理论的支持向量机的方法建立基于脑信息特征的管理人员和技术人员选拔的决策模型。并对决策模型进行了改进提出了结合专家经验的人才选拔方法。实验分析表明该模型和选拔方法是可行的。这为人才选拔方面的研究提供了一种新的研究思路。更多还原

【Abstract】 In this paper, brain information trait and it’ s detection approach are introduced, and then the decision model of selection of managevial personnel and technical personnel is presented. Firstly, brain information trait is gotten by the detection approach of macro-movement of brain information processing, and the decision model of selection of managevial personnel and technical personnel is established by support vector machine theory based on brain information trait. Finally, a personnel selection method combined with expert’ s knowledge is proposed according to the amelioration of the decision model. Experiment proves that the decision model and the selection approach are feasible. The study provides a new solution to personnel selection.更多还原