DocumentCode :
1955571
Title :
Notice of Retraction
Research on enterprise human resource competitiveness based on BP ANN
Author :
Gao Xiang ; Wu Bo
Author_Institution :
Bus. Sch., Hohai Univ., Nanjing, China
Volume :
4
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
90
Lastpage :
93
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

It is widely believed that human resource competitiveness is becoming the core competitiveness of an enterprise. Nowadays, IT (Information Technology) is widely used in human resource management. This paper extracted four factors-cost factor, turnover factor, human resource planning factor and employee development factor from 30 indexes of the enterprise human resource competitiveness by using PCA and established human resource competitiveness model, then we did BP ANN training and predict experimental design of 30 enterprises human resource competitiveness, the findings facilitate HR managers to make instant location of the enterprise human resource competitiveness.
Keywords :
backpropagation; human resource management; neural nets; planning; principal component analysis; HR managers; PCA; back propagation artificial neural network; employee development factor; enterprise human resource competitiveness; factors-cost factor; human resource management; human resource planning factor; information technology; turnover factor; Business; Educational institutions; BP ANN; PCA; enterprise human resource competitiveness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5564907
Filename :
5564907
Link To Document :
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