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构建课程教学质量综合评价体系,在此基础上构建一个BP神经网络模型,通过BP神经网络的学习算法,进行模型研究与应用。以《汽车造型》课程为例,运用10个样本数据进行网络模型训练,达到规定误差,并通过未训练3个样本检测网络模型,达到规定吻合度。运用Matlab进行实验结果研究与分析,验证了该模型的智能性、有效性,值得推广应用。
The construction of a comprehensive evaluation system of teaching quality, on the basis of which a BP neural network model is constructed, and the model research and application are carried out through the learning algorithm of BP neural network. Taking “automobile styling” course as an example, 10 samples of data were used to train the network model to achieve the prescribed error. The network model was tested through the three samples that were not trained, and the agreement was reached. The experimental results are analyzed and researched by using Matlab, which verifies the intelligence and validity of the model and is worth popularizing and applying.