摘要
本文以新疆伊犁500位13-17岁青少年男子50米短跑及相关体质项目测试数据为基础,建立随机森林模型进行估计精度分析及变量评估的研究,发现随机森林模型对于复杂数据有较好的适应性和较高拟合效果,根据青少年短跑成绩影响因素研究,为非专业青少年短跑训练提供建议.
This paper takes the Xinjiang Yili region 500 teens aged 13 to 17 men’s 50 m sprint and related physical project based on the test data,a random forest model estimation precision analysis and evaluate the variables,found that the random forest model for complex data has good adaptability and high fitting effect,according to the research to the influential factors of teenage sprinters,provide suggestions for non-professional teenagers sprint training.
作者
胡文萍
林兢
张辉国
HU Wenping;LIN Jing;ZHANG Huiguo(School of Mathematics and Systems Sciences,Xinjiang University,Urumqi Xinjiang 830046,China;Physical Education Teaching and Research Department,Xinjiang University,Urumqi Xinjiang 830046,China)
出处
《新疆大学学报（自然科学版）（中英文）》
CAS
2021年第4期425-430,共6页
Journal of Xinjiang University(Natural Science Edition in Chinese and English)
基金
新疆维吾尔自治区自然科学基金(2019D01C045)
教育部人文社会科学研究规划基金项目(19YJA910007)
国家自然科学基金(11961065).
关键词
新疆伊犁
短跑
随机森林
影响因素分析
Yili area of Xinjiang
sprint
random forest
analysis of influence factors
