Construction of Women’s All-Around Speed Skating Event Performance Prediction Model and Competition Strategy Analysis Based on Machine Learning Algorithms

Construction of Women’s All-Around Speed Skating Event Performance Prediction Model and Competition Strategy Analysis Based on Machine Learning Algorithms

IntroductionAccurately predicting the competitive performance of elite athletes is an essential prerequisite for formulating competitive strategies. Women’s all-around speed skating event consists of four individual subevents, and the competition system is complex and challenging to make accurate pr...

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Bibliographic Details
Main Authors: Meng Liu, Yan Chen, Zhenxiang Guo, Kaixiang Zhou, Limingfei Zhou, Haoyang Liu, Dapeng Bao, Junhong Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Psychology
Subjects:
machine learning
speed skating
performance prediction
elite athletes
model construction
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.915108/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2022.915108/full

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