Research of Human Resource Risk Warning Model of Dynamic Grey BP Neural Network based on Grey Relational Analysis Method

DOI

10.2991/etmhs-16.2016.102How to use a DOI?

Keywords

Risk Early Warning System of Human Resources; Gray Correlation Analysis; Gray BP Neural Network

Abstract

Against the backdrop of economic globalization and knowledge economy era, the role of human resources in the core competitiveness of enterprises has been increasingly prominent. However, due to the complex changing external environment and employee psychological, physiological complexity and diversity, the corporate human resource management activities always face the potential internal and external risks. Therefore, to correctly identify the risks and causes of human resources on the basis of risk assessment results, improve the accuracy and objectivity, thus proposing targeted administrative measures, it has important practical significance and has become a hot academic research subject. This paper summarizes the research results on the basis of domestic and foreign scholars, introduces into the dynamic gray BP neural network model based on gray relational analysis to develop a new method for warning of corporate human resources and improves human resource management.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - ZiYang Tang
AU  - ZhiQiang Wang
AU  - XueFang Wei
PY  - 2016/01
DA  - 2016/01
TI  - Research of Human Resource Risk Warning Model of Dynamic Grey BP Neural Network based on Grey Relational Analysis Method
BT  - Proceedings of the 2016 2nd International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 463
EP  - 467
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-16.2016.102
DO  - 10.2991/etmhs-16.2016.102
ID  - Tang2016/01
ER  -