Dynamics Mathematical Model and Prediction of Long Jump Athletes in Olympics

Abstract

To be an effective long jump prediction, linear regression analysis of the past and gray neural network research, based on inadequacies, through the long jump run-up, takeoff preparation, takeoff, vacated, landing five aspects of kinematics and action essentials mechanical analysis, this paper established a mathematical model based on regression curve. The results show that with the take-off speed off angle decreases with an increase in the long jump take-off distance with the speed increases. To arrive at the best take-off angle, speed relationship. Using regression analysis curve established long jump event in the future performance prediction model to predict the result is reasonable, for the training of athletes to provide a basis.