<abstract xmlns="http://www.w3.org/1999/xhtml"><p>As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.</p></abstract>

As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

Ho Chi Minh City University of Physical Education and Sport

International Journal of Computer Science in Sport

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as...

The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

Online veröffentlicht: 16. Dez. 2019

Seitenbereich: 89 - 99

DOI: https://doi.org/10.2478/ijcss-2019-0019

Schlüsselwörter
powerlifting performance, analysis model, artificial intelligence, kernel extreme learning machine, artificial bee colony

© 2019 Vinh Huy Chau et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

Online veröffentlicht: 16. Dez. 2019

Seitenbereich: 89 - 99

DOI: https://doi.org/10.2478/ijcss-2019-0019

Schlüsselwörterpowerlifting performance, analysis model, artificial intelligence, kernel extreme learning machine, artificial bee colony

© 2019 Vinh Huy Chau et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
powerlifting performance, analysis model, artificial intelligence, kernel extreme learning machine, artificial bee colony