The Research on the Analysis of Characteristics and Performance of ICAI for Table Tennis Training

With the continuous development of science and technology, artificial intelligence technology and computer-aided instructional technology have become an indispensable part in the process of sports training. How to use computer-aided instruction system for better table tennis training has been a hotspot in relevant research institutions at home and abroad. On that basis, this paper analyzes the characteristics and performance of ICAI for table tennis training. After briefly introducing the basic theory of artificial intelligence and computer-aided technology theory, this paper uses neural network and decision tree method to obtain more stable tactics diagnostic studies and improves the methods of table tennis training tactics based on artificial neural network. And through in-depth research on the artificial neural network technology, this paper uses computer aided teaching software to guide and evaluate tennis practical training. Then, use the relevant algorithm to obtain the indexes and quantify the measurement results after introducing artificial intelligence techniques into the computer aided teaching system. The results show that computer aided teaching system for table tennis training based on artificial intelligence can be more effective tactical training and teaching activities to enhance the reliability and practicality of the teaching system.