A SELF-ADAPTING REGRESSION SVM MODEL AND ITS APPLICATION ON MIDDLE MANAGERS PERFORMANCE EVALUATION

摘要：

It is very important that middle managers work performance affect the survival and development of enterprises, carry on reasonable, scientific and effective performance evaluation, and encourage them to give full play to the initiative and creativity, which is the reliable protection of achieving the enterprises short-term and long-term objectives. Based on the SVM algorithm theory, this paper establish the middle managers performance evaluation model based on self-adapting regression SVM, through establishing middle managers performance index system, use several SVM classifier series portfolio, solve the problems that the training samples category and quantity are imbalance, and the data is interfered, realize the performance evaluation to middle managers. Experimental results show that the method improved the middle managers performance evaluation accuracy and efficiency.

关键词： Self-adapting regression SVM middle managers performance evaluation

作者: SHAO-MEI YANG

作者单位: Economics and Management Department, North China Electric Power University, P.R.China, 071003

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 645-648

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）