Powerlifting total score prediction based on an improved random forest regression algorithm

被引：0

作者：

Chau V.H. ^{[1
]}

Vo A.T. ^{[1
]}

Ngo H.P. ^{[1
]}

机构：

[1] Ho Chi Minh City University of Physical Education and Sport, Ho Chi Minh City

来源：

Journal of Intelligent and Fuzzy Systems | 2024年 / 46卷 / 04期

关键词：

Artificial intelligence; powerlifting; random forest; total score;

D O I：

10.3233/JIFS-230032

中图分类号：

学科分类号：

摘要：

This paper discusses the use of an improved random forest regression algorithm (RFRA) to predict the total score of powerlifters. The paper collected the age, weight, and total score of multiple powerlifters, and then used an improved RFRA to build a predictive model. The parameters of this model are optimized by a differential squirrel search algorithm. The experimental results show that our proposed method can effectively predict the total score of powerlifters with an error of less than 10%, which can provide a reference for experts and athletes before training or competition. © 2024-IOS Press. All rights reserved.

引用

页码：9999 / 10004

页数：5

共 27 条

[11]

Latella C., Teo W.P., Spathis J., Long-term strength adaptation: A 15-year analysis of powerlifting athletes, Journal of Strength and Conditioning Research, 34, 9, (2020)

[12]

Howells R.J., Spathis J.G., Pearson J., Latella C., Garrett J.M., Owen P.J., van den Hoek D.J., Impacts of squat attempt weight selection and success on powerlifting performance, The Journal of Sports Medicine and Physical Fitness, (2021)

[13]

Fialho G., Manhaes A., Teixeira J.P., Predicting sports results with artificial intelligence–a proposal framework for soccer games, Procedia Computer Science, 164, pp. 131-136, (2019)

[14]

Zhao Z., Liu X., She X., Artificial intelligence based tracking model for functional sports training goals in competitive sports, Journal of Intelligent & Fuzzy Systems, 40, 2, pp. 3347-3359, (2021)

[15]

Wang J., Analysis of sports performance prediction model based on GA-BP neural network algorithm, Computational Intelligence and Neuroscience, 2021, (2021)

[16]

Li B., Xu X., Application of artificial intelligence in basketball sport, Journal of Education, Health and Sport, 11, 7, pp. 54-67, (2021)

[17]

Rafajlowicz W., Marszalek J., Intelligent Performance Prediction for Powerlifting, International Conference on Artificial Intelligence and Soft Computing, pp. 475-484, (2021)

[18]

Chau V.H., Vo A.T., Le B.T., A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis, IEEE Access, 7, pp. 143990-143998, (2019)

[19]

Chau V.H., Powerlifting score prediction using a machine learning method, Mathematical Biosciences and Engineering, 18, 2, pp. 1040-1050, (2021)

[20]

Chau V.H., Vo A.T., Le B.T., The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning, International Journal of Computer Science in Sport, 18, 3, pp. 89-99

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