Research On the Network Guidance Platform for Physical Exercise for College Students
Based on the physical health test data of college students,this study uses K-means clustering algorithm and BP neural network to establish a physical analysis model,develop exercise programs for each physical type,and establish a network guidance platform for extracurricular activities on this basis.Conclusions show:The prediction accuracy of the physique analysis model established in this study reached over 90%,which can accurately determine the type of physical fitness of college students.Embedding the model into the college student physical exercise network guidance platform has achieved the function of accurately evaluating the physical fitness types of college students and automatically providing exercise prescriptions,which has a positive promoting effect on cultivating exercise habits among college students.
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