混沌理论和机器学习算法的运动员成绩预测模型Athletes performance prediction model based on chaos theory and machine learning algorithm
高素霞
摘要(Abstract)：
为了准确地对运动员成绩进行预测,结合运动员成绩的具体变化特点,设计了基于混沌理论和机器学习算法的运动员成绩预测模型。首先对当前运动员成绩建模与预测的研究现状进行分析,找到当前运动员成绩预测模型存在的不足,然后采用混沌理论对运动员成绩历史数据进行处理,发现其中隐藏的规律,最后引入机器学习算法——极限学习机设计运动员成绩预测模型。仿真实验结果表明,与当前运动员成绩预测模型相比,所设计模型的运动员成绩预测结果更加可靠,而且运动员成绩预测精度更高,可以应用于体育科学训练计划制定。
关键词(KeyWords)： 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
基金项目(Foundation):
作者(Author): 高素霞
DOI: 10.16652/j.issn.1004-373x.2018.07.035
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