Research on Chinese Tech Talents Demand Prediction Based on Grey-BP Neural Network Combination Model

DOI

10.2991/978-2-38476-126-5_84How to use a DOI?

Keywords

tech talent demand; GM (1,1); BP neural network model

Abstract

The development of science and technology and the construction of a tech talent team are crucial for China’s economic and social growth. To predict the demand for tech talent, an index system is constructed by analyzing relevant factors affecting the total demand. Prediction models based on BP neural network and GM (1,1) are used to forecast the total demand for tech talents in the next 5 years using R&D personnel data from 2010 to 2020. The results show that the Grey-BP neural network is more accurate in predicting the demand for tech talent in China and that the demand will grow rapidly in the future.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yilin Wang
PY  - 2023
DA  - 2023/10/31
TI  - Research on Chinese Tech Talents Demand Prediction Based on Grey-BP Neural Network Combination Model
BT  - Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
PB  - Atlantis Press
SP  - 743
EP  - 752
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-126-5_84
DO  - 10.2991/978-2-38476-126-5_84
ID  - Wang2023
ER  -