基于GA-SVM的个性化体育训练效果评估模型研究

Research on Effect Evaluation Model of Personalized Physical Training Based on GA-SVM

针对当前模型在评估个性化体育训练效果过程中未考虑合理选择评估参数,导致个性化体育训练效果评估模型运行时间增加,造成效果评估精度和效率较低的问题,提出了基于GA-SVM的个性化体育训练效果评估模型。首先根据个性化体育训练效果评估指标选取原则,基于图论和矩阵工具,筛选评估指标,并针对所选评估指标进行类别和量纲统一化处理;然后利用GA(遗传算法)选取SVM(支持向量机)评估模型参数最优值,优化SVM评估模型;最后利用MATLAB仿真软件对基于GA-SVM的个性化体育训练效果评估模型进行了仿真测试。仿真结果表明:所构建的基于GA-SVM的评估模型的相对误差为0.04%,所用时间为1.9 s,模型评估相对误差较小,模型评估所用时间较短,能够有效提高模型评估效率和精度。

Aiming at the problem that the current model does not consider the reasonable selection of the evaluation parameters of the personalized sports training effect in the evaluation of the personalized sports training effect,which leads to the increase of the running time of the personalized sports training effect evaluation model and the low accuracy and efficiency of the effect evaluation,a GA-SVM based personalized sports training effect evaluation model is proposed.First of all,according to the principle of selecting evaluation indicators for personalized sports training effect,based on graph theory and matrix tools,the evaluation indicators are selected,and the classification and dimension of the selected evaluation indicators are unified;Then,GA(genetic algorithm)is used to select the optimal value of SVM(support vector machine)evaluation model parameters to optimize the SVM evaluation model;Finally,using MATLAB simulation software,the evaluation model of personalized sports training effect based on GA-SVM is simulated and tested.The simulation results show that the relative error of the evaluation model based on GA-SVM is 0.04%,the time is 1.9 s,the relative error of model evaluation is small,and the time for model evaluation is short,which can effectively improve the efficiency and accuracy of model evaluation.