In the past ten years, the health level of college students has declined significantly. Regular exercise is a good living habit, which can reduce the risk of heart disease, obesity and related mental health. The purpose of this study is to use artificial neural network to study the change trend of college students’ body fat percentage in physical training. The results showed that, during the period of 1-8 months, the percentage of body fat of male and female students selected in the experiment gradually declined after physical training. At the early stage of training, the percentage of body fat of males was close to 0.21 and declined slowly, while as the physical training continued, the decline rate gradually increased, and finally became slow and gradually close to 0.11 indefinitely. The percentage of body fat of female students also showed the same trend, with an initial BMI of about 0.35, gradually approaching 0.21. Then the percentage of body fat of college students who had undergone 36-43 months of physical training was studied and analyzed. This paper found that the percentage of body fat of college students turned again when it was gradually close to the normal value, and there was a growing trend. Males gradually showed an upward trend when it dropped to 0.11, and the growth rate was small, while females gradually increased from about 0.2. Based on the experimental results of analyzing the percentage of body fat of college students using artificial neural network technology, firstly, physical training is very effective for reducing the percentage of body fat of college students, but meanwhile, students should pay attention to the intensity and duration of exercise. Secondly, it is more important to monitor the health condition regularly.

Jie Ren. Prediction Model of the Influence of Physical Training on the Percentage of Body Fat of College Students Based on Artificial Neural Network. International Journal of Sports Technology (2023), Vol. 4, Issue 1: 63-75. https://doi.org/10.38007/IJST.2023.040105.

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