Design and application of optical communication technology based on machine learning algorithms in physical education teaching information management system

With the rapid development of information technology, physical education information management system has become an important part of modern education. However, the traditional physical education information management system has some problems in optical communication technology, such as bandwidth limitation and slow transmission speed, which affect the performance and effect of the system. This paper aims to improve the application of optical communication technology in physical education teaching information management system by using machine learning algorithm, and improve the performance and effect of the system. This paper collects the relevant data of PE teaching information management system, and carries on the pre-processing and feature extraction. The appropriate machine learning algorithm was then selected to train and optimize the model and applied to optical communication technology. The new system has higher bandwidth and transmission speed, can process and transmit data faster, and improve the teaching effect.