Powerlifting score prediction using a machine learning method.

Journal: Mathematical biosciences and engineering : MBE
Published Date:

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.

Authors

  • Vinh Huy Chau
    Ho Chi Minh City University of Physical Education and Sport, Ho Chi Minh City 700000, Vietnam.