Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model
- Feng Wei, Yaqi Wang
- Corresponding Author
- Yaqi Wang
Available Online February 2019.
- https://doi.org/10.2991/icfied-19.2019.59How to use a DOI?
- GM(1,1) modeled; grey system prediction; scientific and technological talent; demand forecast
- 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.
- 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 -