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Estimation of VO

机译:VO的估计

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摘要

max based on 20 m shuttle run and selected somatic parameters. The research were conducted on 80 male physical education students (age: 21.4±1.6). Predictive models were determined from 65 patterns and tested using 15 patterns. The 9 variables were used to build the models, including one dependent variable and 8 independent variables. The prediction methods used were as follows: ordinary least square regression, Ridge regression, Lasso regression, multilayer perceptron and network with radial basis functions. The research show that the model with the least error of prediction is the network with radial basis functions generating the RMSE
机译:最大值基于20 m的往返运行和选定的体细胞参数。研究对象为80名男性体育学生(年龄:21.4±1.6)。从65个模式中确定了预测模型,并使用15个模式进行了测试。使用9个变量构建模型,包括一个因变量和8个自变量。所使用的预测方法如下:普通最小二乘回归,岭回归,套索回归,多层感知器和具有径向基函数的网络。研究表明,预测误差最小的模型是具有径向基函数的网络,生成RMSE

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