@article{4342,
  author = {Qianwei Zhang , Lirong Yu},
  title = {Football Players’ Physical Parameter Simulation Training Based on AI Intelligent Algorithm Simulation},
  journal = {Digital Signal Processing and Artificial Intelligence for Automatic Learning},
  year = {2024},
  volume = {3},
  number = {4},
  doi = {https://doi.org/10.6025/dspaial/2024/3/4/128-134},
  url = {https://www.dline.info/dspai/fulltext/v3n4/dspaiv3n4_2.pdf},
  abstract = {To improve football players’ training efficiency and performance, a training simulation
system based on computer simulation AI intelligence technology is designed. The
system includes a perception interaction subsystem and a model calculation
subsystem. The perception interaction subsystem builds a three-dimensional training
scene through a virtual environment generator, then renders the scene in the model
calculation subsystem’s view module while the logic module calculates the athlete’s
physical fitness decline. The calculation results are then passed back to the perception
interaction subsystem’s effect generator to present the interactive effects of the
athlete’s training. Tests show that the system can effectively perform athletes’
physical fitness decay calculations, has good load-bearing capacity, enhances the
physical training effect of football players, and improves simulation efficiency. The
application of this system can improve athletes’ competition performance.},
}