基于BP神经网络的大学生耐力跑能力的预测模型  

Prediction Model of College Students' Endurance Running Ability Based on BP Neural Network

作　　者：王锦瑞[1] 

机构地区：[1]陕西学前师范学院数学系,西安710062

出　　处：《西安文理学院学报（自然科学版）》2013年第3期57-61,共5页Journal of Xi’an University(Natural Science Edition)

基　　金：陕西省教育科学"十二五"规划课题(SGH12357)

摘　　要：为研究学生的身高、体重、肺活量、跳绳成绩对我国大学生耐跑能力的影响,对研究对象进行体质健康的测试,获得了35个学生的测试结果.通过分析这些数据之间的联系,在建立预测模型的基础上,将学生实际的800米(女)或1000米(男)成绩和预测值进行对比分析.结果表明:BP神经网络预测模型可以很好的预测出学生的800米(女)或1000米(男)成绩,最大误差小于7%,为研究大学生的耐力跑水平提供了一种新的方法支持.This study is of the effect of Chinese college students＇ height, weight, vital capaci- ty, and rope skipping on their endurance running ability. As the result of a physical health test, thirty- five valid data were obtained. We analyzed the connections between the data. A prediction model was established based on BP neural network. Then, women＇ s 800m or men＇ s 1000m testing results were compared with the predicting value. The BP neural network model proves to be effective in predicting students＇ 1000m, and the maximum error is less than 7%. method for studying college students＇ endurance performances in women＇ s 800m or men＇ s Therefore, the prediction model can be a new running ability.

关 键 词：大学生 肺活量体重指数 BP神经网络 耐力跑能力 

分 类 号：O29[理学—应用数学]