DocumentCode
467655
Title
Analysis of Influences of Technological Progress on Employment
Author
Qi, Chun ; Dong, Jin ; Peng, Hong-Bin
Author_Institution
Beijing Inst. of Technol., Beijing
Volume
1
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
267
Lastpage
272
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMLC.2007.4370152
Filename
4370152
Link To Document