Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)

Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model

Authors
Feng Wei, Yaqi Wang
Corresponding Author
Yaqi Wang
Available Online February 2019.
DOI
https://doi.org/10.2991/icfied-19.2019.59How to use a DOI?
Keywords
GM(1,1) modeled; grey system prediction; scientific and technological talent; demand forecast
Abstract
Scientific and technological talents play a leading and supporting role in the economic transformation and development. The prediction of scientific and technological talents is the scientific basis of formulating correct talent policies. In this paper, the gray GM (1,1) model is used to analyze the number of scientific and technological talents for Guangxi over the years, and the GM (1,1) prediction model is established. The results of statistical test and error analysis show that the model has high precision, and the model are used to predict the future ten years of Guangxi Science and Technology. The number of talents.
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Proceedings
2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)
Part of series
Advances in Economics, Business and Management Research
Publication Date
February 2019
ISBN
978-94-6252-678-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/icfied-19.2019.59How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Feng Wei
AU  - Yaqi Wang
PY  - 2019/02
DA  - 2019/02
TI  - Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model
BT  - 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/icfied-19.2019.59
DO  - https://doi.org/10.2991/icfied-19.2019.59
ID  - Wei2019/02
ER  -