A MANUFACTURING LABOR PRODUCTIVITY MODEL BASED ON CHAOS AND PSVM WITH SA

摘要：

Measuring productivity performance has become an area of concern for companies and policy makers. Computing high-technology manufacturing (HTM) productivity level and growth rate have gained a renewed interest in both growth economists and trade economists. A novel way about nonlinear regression modeling of high-technology manufacturing (HTM) productivity with the potential support vector machines (PSVM) is presented in this paper. Simulated annealing (SA) algorithm is employed to choose the parameters of a PSVM model. Optimization of labor productivity (LP) is also presented in this paper, which is based on chaos and uses the PSVM regression model as the objective function. The results of simulations show that the generalization performance of the methods based on PSVM with SA is higher than the ones based on standard SVM with SA.

关键词： Potential support vector machine support feature chaos simulated annealing labor productivity

作者: SHENG XU HUT-FANG ZHAO XUE-SONG GUO

作者单位: School of Management Hefei University of Technology, HeFei, AnHui, 230009, China School of management, Xian Jiaotong University, XiAn, ShanXi, 710019, China

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: 634-639

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）