| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 04046 | |
| Number of page(s) | 5 | |
| Section | Civil, Architectural Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202016504046 | |
| Published online | 01 May 2020 | |
Application of Least Square Approximation Algorithm in the Game Analysis and Data Prediction of the Core Competence Signal of Civil Engineering Employment
1 School of Economics, Heilongjiang University of Science and Technology, China
2 School of Accounting, Harbin Finance University, China
* Corresponding author: Lei Yang, e-mail: yanghan3721@163.com
The least square approximation algorithm is often used to predict the data based on historical experience. In this paper, the method is applied to the research of “game analysis and data prediction of the core competence signal of civil engineering employment”, which theoretically verifies the existence of “weak sequence” rational equilibrium in civil engineering employment by means of mathematical reasoning. In addition, the method is applied to the prediction of civil engineering major in one university in Heilongjiang Province from 2010 to 2019 as an example, and the empirical data of employment prove the real existence of the game signal. Finally, according to the method, the research predicts the related data of employment in 2020.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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