Digital Signal Processing and Artificial Intelligence for Automatic Learning Qianwei Zhang , Lirong Yu 3 4 2024 https://doi.org/10.6025/dspaial/2024/3/4/128-134 https://www.dline.info/dspai/fulltext/v3n4/dspaiv3n4_2.pdf 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.