现代电子技术2018，Vol.41Issue(7)：152-155,4.DOI:10.16652/j.issn.1004-373x.2018.07.035
混沌理论和机器学习算法的运动员成绩预测模型
theory and machine learning algorithm
摘要
Abstract
In order to predict the athletes performance accurately,the specific change characteristics of athletes perfor-mance is combined to design the athletes performance prediction model based on chaos theory and machine learning algorithm. The current research status of athletes performance modeling and prediction is analyzed to find the shortcomings of the current athletics performance prediction models. The chaos theory is used to process the athletes' historical data,and find its hidden rules. The machine learning algorithm(extreme learning machine)is introduced to design the athletes performance prediction model. The simulation and experiment results show that,in comparison with the current athletics performance prediction models, the prediction model has more reliable athletes performance prediction result and higher prediction accuracy,and can be ap-plied to the plan formulation of sports scientific training.关键词
运动员成绩/机器学习算法/混沌理论/原始数据/成绩预测模型/极限学习机Key words
athletes performance/machine learning algorithm/chaos theory/initial data/performance prediction model/extreme learning machine分类
信息技术与安全科学引用本文复制引用
高素霞..混沌理论和机器学习算法的运动员成绩预测模型[J].现代电子技术,2018,41(7):152-155,4.
