【摘要】 选取形态、机能、素质、心理、技术等 15项指标构成百米跑人体运动能力评价指标体系 ,结合 10 0名 12～2 0岁青少年的各项测试指标及专家对其运动能力的综合评价结果 ,建立了基于神经网络的百米跑运动能力评价模型 .将各项测试指标归一化作为网络输入 ,专家的评价结果作为网络输出 ,对训练好的模型进行验证 ,结果令人满意 .神经网络方法克服了现有专家评分方法的不足 ,为运动员选材领域提供了一种新的参数模型 .更多还原

【Abstract】 A system of evaluation index for 100 m sprint race performance is constituted using fifteen indices including physique, function, constitution, psychology, technique, etc. Combining test indices of 100 youngster athletes aged 12 to 20 and experts’ evaluation results on their 100 m sprint sports ability, the paper presents a neural network based sports ability evaluation model. The test indices were normalized and used as the neural network input, and comprehensive evaluation result of their 100 m sprint ability taken as the neural network output. Results of testing the trained neural network model were found to be satisfactory. The NN method overcomes insufficiencies of existing method and offers a new reference model in athelets selection.更多还原