Special Physical Characteristic and Training Strategy of Badminton Based on Machine Learning Algorithm

Machine learning algorithms involve many fields such as statistics and probability theory. It is mainly aimed at computer simulation or execution of human behaviors to acquire new knowledge skills. And the existing be integrated then continue improved. This study aims introduce a machine algorithm establish corresponding training effect evaluation model, use model research analyze special physical fitness strategy badminton, discuss appropriate badminton method. At same time, Markov used compare model. The experimental results show that combination four kinds phosphate energy supply capacity, speed, sensitivity, core strength can improve performance players by 10 points efficiency 4%. Therefore, it necessary comprehensively reasonably arrange methods achieve better effects. average prediction accuracies were 86% 87%, respectively, computing time was 26.7 ms 13.6 ms. 79% 82%, 19.5 11.8 seen based on more accurate than