Title :
Analysis of Influences of Technological Progress on Employment
Author :
Qi, Chun ; Dong, Jin ; Peng, Hong-Bin
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
This paper propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminant analysis was used as a parameter evaluation method for the analysis of relationship between technology development and employment in China. Results indicate that capital related investment has more influence on employment than human recourse investment.
Keywords :
employment; genetic algorithms; human resource management; investment; technology management; China; analytical tool; capital related investment; discriminant analysis; employment; fitness function; genetic algorithm; human recourse investment; parameter evaluation; technological progress; variable selection algorithm; Algorithm design and analysis; Biological system modeling; Cybernetics; Employment; Environmental economics; Fault detection; Genetic algorithms; Input variables; Investments; Machine learning; Employment; GA; Technology;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370152
