Based on the research of a large amount of data, this paper introduces association rules and neural network algorithms to establish a horse racing competition decision-making …

Feb 14, 2024 · They tell us how we can also make a module or artificial network to guess the winner of horse races using the parameters such as jockey’s weight and experience, stability, …

In this paper, we applied Neural Networks approach to horse racing prediction context, which consist in building a Neural Network model and analyzing the performance of learning...

Apr 10, 2025 · This project uses a two-stage machine learning approach to predict a horse's likelihood of racing success. By analyzing various factors including physical measurements, …

Jul 30, 2024 · In the context of horse racing, AI is being used to build sophisticated predictive models that can forecast race outcomes, evaluate horses‘ potential, optimize betting …

Mar 13, 2024 · Following Tuyls et al. (2021), we describe how the convergence of the three machine learning fields (computer vision, statistical learning, and game theory) will be game …

Mar 11, 2022 · At present, traditional prediction algorithms can no longer meet the needs of horse racing situation prediction, but research has found that association rules and neural network …