Design and Implementation of Sports Training Management System Based on Machine Learning Algorithm

The research of sports training scheme has always been an important link in sports training, and it is also a difficult problem. The existing training planning research focuses on information collection and processing, and how to scientifically control and evaluate training programs. This paper adopts a sports training management system based on machine learning algorithm. In the information management of athletes' competitive potential, the evaluation results can be obtained by using the existing evaluation index system of athletes' competitive ability and selecting the fuzzy neural network model in the method base. In this paper, the average root mean square error of the selected sports training data is 0.109%, and the system can effectively process the training data of athletes.

I. Introduction

In the past, athletes had to complete various sports training according to the training plan formulated by coaches. The formulation and design of traditional training plan not only takes a lot of energy for coaches to sort out athletes' data, but also is inconvenient to save data and information, and the formulation of training plan is also unscientific. In this paper, the sports training management system based on machine learning algorithm makes the training scheme more scientific and efficient, so it is necessary to study and develop it.