Powerlifting score prediction using a machine learning method

Vinh Huy Chau; Vinh Huy Chau

doi:10.3934/mbe.2021056

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 2: 1040-1050. doi: 10.3934/mbe.2021056

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Research article Special Issues

Powerlifting score prediction using a machine learning method

Vinh Huy Chau ^,

Ho Chi Minh City University of Physical Education and Sport, Ho Chi Minh City 700000, Vietnam

Received: 03 December 2020 Accepted: 30 December 2020 Published: 07 January 2021

This research discusses an interesting topic, using artificial intelligence methods to predict the score of powerlifters. We collected the characteristics of powerlifters, and then used the reservoir computing extreme learning machine to build a predictive model. In order to further improve the prediction results, we propose a method to optimize the reservoir computing extreme learning machine using the whale optimization algorithm. Experimental results show that our proposed method can effectively predict the score of powerlifters with the coefficient of determination value is 0.7958 and root-mean-square error of prediction value is 16.73. This provides a reliable basis for experts to judge the results before the competition.
- artificial intelligence,
- machine learning,
- powerlifting,
- score prediction
Citation: Vinh Huy Chau. Powerlifting score prediction using a machine learning method[J]. Mathematical Biosciences and Engineering, 2021, 18(2): 1040-1050. doi: 10.3934/mbe.2021056

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Abstract

This research discusses an interesting topic, using artificial intelligence methods to predict the score of powerlifters. We collected the characteristics of powerlifters, and then used the reservoir computing extreme learning machine to build a predictive model. In order to further improve the prediction results, we propose a method to optimize the reservoir computing extreme learning machine using the whale optimization algorithm. Experimental results show that our proposed method can effectively predict the score of powerlifters with the coefficient of determination value is 0.7958 and root-mean-square error of prediction value is 16.73. This provides a reliable basis for experts to judge the results before the competition.

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