Intelligent Decision-Making System for Martial Arts Competition Using Deep Learning

Shisen Li, Shenglu Huo, Wei Ke
2021 Mobile Information Systems  
In the field of martial arts, athletes can win the initiative in the competition if they can correctly and timely acquire the field knowledge, evaluate the situation efficiently, and formulate a suitable strategy. In this paper, we use fuzzy mathematics, mathematical statistics, and artificial intelligence learning algorithms to carry out systematic and in-depth research on the selection of Wushu competition scene decision-making. The fuzzy mathematics theory is combined with the intelligent
more » ... ign theory for decision-making based on a multiagent, case-based reasoning selection, and adaptability evaluation analysis. The Wushu competition scene decision system is constructed based on artificial intelligence learning algorithms. Our approach outperforms the existing approaches in terms of accuracy, sensitivity, specificity, and Matthew's correlation coefficient (MCC). The results of our proposed model can be anticipated to have the potential for better flexibility and scalability in martial arts competition.
doi:10.1155/2021/9920751 doaj:412f47e42af742f28e1c73ae4e8fdc3e fatcat:kiniyngcevcgpjzmtnmpijiug4