Informatization of Physical Education Curriculum Education and Training Management in Colleges and Universities under the Maximum Information Entropy Model

Abstract

Abstract Currently, there are problems such as weak training purpose, poor training effect and backward auxiliary decision-making means in college physical education. In this paper, we first construct a college sports training management decision-making system based on Multi-Agent and adopt the blackboard model to realize the communication between Agents. The training management decision-making agent system uses the maximum information entropy model to identify the benefits and drawbacks of executing college sports training management decisions. Secondly, feature selection is carried out through the correlation filter (CFS), and the best priority search method is used to obtain the required subset of features. Finally, the reliability of the college sports training management decision-making agent system was verified by testing experiments. The results show that the inter-rater of the system is 0.92<unk>0.95, and the intra-rater is 0.94, reflecting the good reliability and practicality of the training management decision-making Agent system. This study enhances the effectiveness of sports training management to some extent, and it also serves as a valuable reference for the development of similar systems.