Chau Vinh Huy
Ho Chi Minh City University of Physical Education and Sport, Ho Chi Minh City 700000, Vietnam.
Math Biosci Eng. 2021 Jan 7;18(2):1040-1050. doi: 10.3934/mbe.2021056.
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.
本研究探讨了一个有趣的课题，即使用人工智能方法预测力量举运动员的成绩。我们收集了力量举运动员的特征，然后使用储层计算极限学习机建立了一个预测模型。为了进一步提高预测结果，我们提出了一种使用鲸鱼优化算法优化储层计算极限学习机的方法。实验结果表明，我们提出的方法能够有效地预测力量举运动员的成绩，决定系数值为0.7958，预测值的均方根误差为16.73。这为专家在比赛前判断结果提供了可靠的依据。
