A P-SVM and chaos based model for high-technology manufacturing labor productivity

H Zhao, S Xu, C Yang - 2008 IEEE International Joint …, 2008 - ieeexplore.ieee.org
H Zhao, S Xu, C Yang
2008 IEEE International Joint Conference on Neural Networks (IEEE …, 2008ieeexplore.ieee.org
Computing high-technology manufacturing (HTM) productivity level and growth rate have
gained a renewed interest in both growth economists and trade economists. Measuring
productivity performance has become an area of concern for companies and policy makers.
A novel way about nonlinear regression modeling of high-technology manufacturing (HTM)
productivity with the potential support vector machines (P-SVM) is presented in this paper.
Optimization of labor productivity (LP) is also presented in this paper, which is based on …
Computing high-technology manufacturing (HTM) productivity level and growth rate have gained a renewed interest in both growth economists and trade economists. Measuring productivity performance has become an area of concern for companies and policy makers. A novel way about nonlinear regression modeling of high-technology manufacturing (HTM) productivity with the potential support vector machines (P-SVM) is presented in this paper. Optimization of labor productivity (LP) is also presented in this paper, which is based on chaos and uses the P-SVM regression model as the objective function.
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