Analysis of influences of technological progress on employment

Chun Qi; Jin Dong; Hong Bin Peng

doi:10.1109/ICMLC.2007.4370152

Analysis of influences of technological progress on employment

Chun Qi^*
, Jin Dong
, Hong Bin Peng

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper will propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminant analysis will be 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.

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages	267-272
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLC.2007.4370152
Publication status	Published - 2007
Event	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China Duration: 19 Aug 2007 → 22 Aug 2007

Publication series

Name	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Volume	1

Conference

Conference	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
Country/Territory	China
City	Hong Kong
Period	19/08/07 → 22/08/07

Keywords

Employment
GA
Technology

Access to Document

10.1109/ICMLC.2007.4370152

Cite this

Qi, C., Dong, J., & Peng, H. B. (2007). Analysis of influences of technological progress on employment. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 (pp. 267-272). Article 4370152 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 1). https://doi.org/10.1109/ICMLC.2007.4370152

@inproceedings{df4b875012344271b50abb902b42ee63,

title = "Analysis of influences of technological progress on employment",

abstract = "This paper will propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminant analysis will be 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, GA, Technology",

author = "Chun Qi and Jin Dong and Peng, \{Hong Bin\}",

year = "2007",

doi = "10.1109/ICMLC.2007.4370152",

language = "English",

isbn = "142440973X",

series = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

pages = "267--272",

booktitle = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

note = "6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 ; Conference date: 19-08-2007 Through 22-08-2007",

}

Qi, C, Dong, J & Peng, HB 2007, Analysis of influences of technological progress on employment. in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007., 4370152, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, vol. 1, pp. 267-272, 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, China, 19/08/07. https://doi.org/10.1109/ICMLC.2007.4370152

Analysis of influences of technological progress on employment. / Qi, Chun; Dong, Jin; Peng, Hong Bin.
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. p. 267-272 4370152 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Qi, Chun

AU - Dong, Jin

AU - Peng, Hong Bin

PY - 2007

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N2 - This paper will propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminant analysis will be 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.

AB - This paper will propose a genetic algorithm (GA) approach as an analytical tool with a carefully defined fitness function as a variable selection algorithm. Discriminant analysis will be 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.

KW - Employment

KW - GA

KW - Technology

UR - https://www.scopus.com/pages/publications/37849009443

U2 - 10.1109/ICMLC.2007.4370152

DO - 10.1109/ICMLC.2007.4370152

M3 - Conference contribution

AN - SCOPUS:37849009443

SN - 142440973X

SN - 9781424409730

T3 - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

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EP - 272

BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

T2 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007

Y2 - 19 August 2007 through 22 August 2007

ER -

Analysis of influences of technological progress on employment

Abstract

Publication series

Conference

Keywords

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