改进神经网络的大学物理实验教学质量评价

摘要

An improved neural network based teaching quality evaluation model of university physics experiment is pro-posed according to the limitation existing in teaching quality evaluation model of university physics experiment. The research sta-tus of the current university physics experiment teaching quality evaluation is analyzed and discussed. The index system of the university physics experiment teaching quality evaluation was established according to the related research. The BP neural net-work is adopted to establish the teaching quality evaluation model of university physics experiment. The BP neural network pa-rameter optimization was improved. The feasibility of the model was tested by mean of university physics experiment teaching quality evaluation experiment. The results show that the improved neural network can improve the accuracy of university physics experiment teaching quality evaluation,make the evaluation result more scientific and reliable,and has broad prospect.%针对当前大学物理实验教学质量评价模型存在的局限性,提出改进神经网络大学物理实验教学质量评价模型.对当前大学物理实验教学质量评价研究现状进行分析和探讨,并根据相关研究建立大学物理实验教学质量评价指标体系;采用BP神经网络建立大学物理实验教学质量评价模型,并针对BP神经网络参数优化问题进行改进;最后通过大学物理实验教学质量评价实验对模型的可行性进行测试.结果表明,改进神经网络提高了大学物理实验教学质量的评价精度,评价结果更加科学、可靠,具有广泛的应用前景.