Physical education is considered as the essential part of health plan and also reflects the higher education system. A teacher with physical education is accountable to teach physical education and/or health education to the students. This study has proposed a new approach for teaching evaluation with college physical education in universities. By combining neural network with genetic algorithm (GA), the approach that we proposed can improve the general traditional BP network, such as global convergence and training time. The model uses MATLAB software for empirical research work. According to MATLAB simulation and experiments, it was revealed that the combining neural network with GA algorithm has effective application prospects for the teaching evaluation with college physical education in universities.

中文翻译：

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用于大学体育教学评价的遗传算法和BP神经网络

体育被认为是健康计划的重要组成部分，也反映了高等教育体系。体育教师负责向学生教授体育和/或健康教育。本研究为高校体育教学评价提出了一种新的思路。通过将神经网络与遗传算法 (GA) 相结合，我们提出的方法可以改进一般的传统 BP 网络，例如全局收敛和训练时间。该模型使用 MATLAB 软件进行实证研究工作。通过MATLAB仿真和实验表明，将神经网络与遗传算法相结合，在高校体育教学评价中具有有效的应用前景。