Application of Least Square Approximation Algorithm in the Game Analysis and Data Prediction of the Core Competence Signal of Civil Engineering Employment

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.