南京理工大学学报（自然科学版）2017，Vol.41Issue(6)：760-764,5.DOI:10.14177/j.cnki.32-1397n.2017.41.06.015
基于GM(1,1)与反向传输神经网络的大学生体育成绩预测
Sports performance prediction for college students based on GM(1,1) and back propagation neural network
摘要
Abstract
A sports performance prediction method for college students is proposed based on grey model GM(1,1) and the back propagation neural network ( BPNN ) to improve the prediction accuracy. The changing trend of sports performance for college students is modeled by the GM(1,1). The predictive results of GM(1,1) are corrected by the BPNN. This method is applied to the 50 meters running performance of students at Zhongnan University of Economics and Law. The test results show that,the sports performance prediction accuracy for college students of the proposed method is 97 . 59％.关键词
灰色模型/反向传输神经网络/大学生/体育成绩预测/组合预测Key words
gray model/back propagation neural network/college students/sports performance prediction/combined prediction分类
信息技术与安全科学引用本文复制引用
刘昊..基于GM(1,1)与反向传输神经网络的大学生体育成绩预测[J].南京理工大学学报（自然科学版）,2017,41(6):760-764,5.基金项目
湖北省高等学校省级教学研究项目(2013160) （2013160）
