Abstract
Table tennis technical and tactical game research has been achieved by the qualitative to quantitative research and then to the interact and change, methods have changed from the past rely solely on the development of statistics to rely on manual methods of modern computing and computer-assisted technology. Computer simulation analysis of ball games provides a new idea for the game of table tennis technical and tactical analysis, part of the study attempts to artificial neural networks and computer simulation of ball games. However, technical and tactical indicators restrict its general nature training and competition practice applications. As an advanced artificial intelligence, machine learning methods has been widely used in data mining, decision support and other areas. In the analysis of the technical and tactical aspects of the game, it has emerged recently, but few people have a comprehensive system analysis, assessment and prediction research. This paper intends to conduct in-depth discussion on this research in order to provide decision support for table tennis.
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