@article{3825,
  author = {Lv Jin},
  title = {Table Tennis Trajectory Prediction Based on ELM Algorithm from System Perspective},
  journal = {Progress in Machines and Systems},
  year = {2023},
  volume = {12},
  number = {2},
  doi = {https://doi.org/10.6025/pms/2023/12/2/38-45},
  url = {https://www.dline.info/pms/fulltext/v12n2/pmsv12n2_2.pdf},
  abstract = {This article validates and tests a table tennis trajectory prediction model based on a computer angle ELM algorithm. By comparing with actual competition results, it was found that the model has high accuracy and reliability in predicting the trajectory of table tennis. At the same time, the model can also provide athletes with more accurate competition strategies and suggestions based on different competition situations and opponent levels. Finally, this article summarizes table tennis trajectory prediction’s application value and advantages based on a system perspective ELM algorithm. This algorithm provides athletes with more accurate competition strategies and suggestions and helps coaches better understand athletes’ sports characteristics and levels, providing an important reference basis for training and competition. At the same time, this algorithm can be extended to other ball games, providing broader application value for athletes and coaches.},
}