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Competition Results of Male Gymnasts Based on Artificial Neural Network

Xianghon Li


Artificial neural network (ANN) as a cutting-edge scientific theory is an intelligent computing system simulating biological neural network with computer network system. It has been applied in numerous discipline studies, but not in gymnastics. This paper applies ANN to study the influence of dance sport on competition results of male gymnasts, excavates dance movements based on ANN, analyzes these dance movements, masters all proper motion features and finally conducts meticulous analysis in practice. Men’s gymnastics serves as a part of gymnastics. The study of competition results of male gymnasts with ANN-based dance sport is of obvious significant for expansion of the application field of ANN. The results show ANN can be well applied in the study of competition results of male gymnasts.


neural network, artificial intelligence, excavation, dance, gymnastics.

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