Research And Application Of Forecasting Model For Bicycle Athletes' Training Load

As the rapid development of information technology,data mining has been widely used in many sports,which can help athletes and coaches improve the quality of training and improve the level of competition.However,there are few related applications in the field of cycling.The training load capacity of cyclists has a complicated relationship with their physical function status.In order to explore the data association and guide the scientific training and personnel training of bicycle sports,we use the data accumulated by the national cycling team to conduct research and proposes training for cyclists.The load forecasting model is applied to the ‘cycling team training analysis system'.It has great significance for improving the competitive level of cycling and the training effect of athletes in China.In order to make the training arrangement of athletes reasonable and effective,this paper puts forward a cyclists training load prediction model.Through data analysis,this paper selects 25 key factors affecting the training load capacity,such as maximum oxygen uptake,functional threshold power,and oxygen saturation,etc.Due to the nonlinear relationship between many factors and prediction results,this paper uses BP neural network as the basic algorithm of the model.Also,adaptive genetic algorithm with improved selection operator is used to determine the initial weights and thresholds of the neural network.Through experimental analysis,the optimization method improves the global optimization ability of network,and the accuracy of prediction model reaches 93.28%.So as to apply the cyclists training load prediction model to the routine work of bicycle teams,this paper developed a system by web technology based on the model,which can let coaches and athletes forecast the results of athletes' training load,evaluate and adjust the training arrangement according to the prediction results,so as to avoid the harm caused by excessive training to athletes.In addition,the system also has the function of data visualization,which can display the data result in the form of images.