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The Scoring Mechanism of Players after Game Based on Cluster Regression Analysis Model

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成果类型:
期刊论文
作者:
Xu, In;Yi, Chao*
通讯作者:
Yi, Chao
作者机构:
[Xu, In] Hunan City Univ, Sch Sports, Yiyang 413000, Hunan, Peoples R China.
[Yi, Chao] Fujian Chuanzheng Commun Coll, Coll Gen Educ, Fuzhou 350007, Fujian, Peoples R China.
通讯机构:
[Yi, Chao] F
Fujian Chuanzheng Commun Coll, Coll Gen Educ, Fuzhou 350007, Fujian, Peoples R China.
语种:
英文
期刊:
Mathematical Problems in Engineering
ISSN:
1024-123X
年:
2021
卷:
2021
基金类别:
Hunan Education Department Scientific Research Project: Research on the Development of Public Fitness Informatization O2O Model in Hunan Province [19K015]; Hunan Education Department Teaching Reform Project: Research on Integration of University PE Curriculum Teaching and Moral Education" [HNJG-2020-0793]
机构署名:
本校为第一机构
摘要:
Cluster regression analysis model is an effective theory for a reasonable and fair player scoring game. It can roughly predict and evaluate the performance of athletes after the game with limited data and provide scientific predictions for the performance of athletes. The purpose of this research is to achieve the player's postmatch scoring through the cluster regression model. Through the research and analysis of past ball games, the comparison and experiment of multiple objects based on different regression analysis theories, the following conclusions are drawn. Different regression models h...

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