The Research on the Aerobics Performance Prediction for College Students Based on IWLS-SVM

Since the aerobics is introduced into the college and university, it becomes popular in teachers and students. In order to develop the aerobics better and improve the level of the aerobics, it is necessary to predict the aerobics performance. Support vector machine method is one of the frequently-used prediction methods. In order to improve the performance of traditional LS-SVM, we put forward an improved LS-SVM algorithm. It is inertia weight LS-SVM (IWLS-SVM) algorithm. According to improving the inertia weight, the algorithm can enhance the performance of the traditional LS-VSM. In the numerical experiments, we apply the algorithm to predict the performance of the aerobics. The experimental results show that the prediction method has better feasible and effective.