College students are busy with their schoolwork and activities. They spend most of their spare time playing games and watching TV dramas and have little time to do physical exercise. Therefore, it is difficult for many college students to reach the standard in the physical education test, and the bodyside data is not well used. This paper uses the physical test data provided by the Physical Education Department of Zhujiang College of Tianjin University of Finance and Economics to classify and process the physical test data of colleges and universities DNN. A scientific physical education class allocation strategy is proposed to optimize the existing college physical education class allocation.

大学生忙于​​他们的学业和活动。他们大部分的业余时间都在玩游戏和看电视剧，很少有时间做体育锻炼。因此，很多大学生在体育考试中很难达标，体侧数据没有得到很好的利用。本文利用天津财经大学珠江学院体育系提供的体测数据对高校DNN的体测数据进行分类处理。提出科学的体育课分配策略，优化现有高校体育课的配置。