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

DOI

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.

Copyright

© 2019, 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/).

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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  - Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)
PB  - Atlantis Press
SP  - 309
EP  - 314
SN  - 2352-5428
UR  - https://doi.org/10.2991/icfied-19.2019.59
DO  - 10.2991/icfied-19.2019.59
ID  - Wei2019/02
ER  -