BP神经网络在教学质量评价体系中的应用

发布时间：2018-05-17 10:37

本文选题：BP神经网络 + 质量评价　；参考：《计算机与数字工程》2010年04期

【摘要】：教学质量评价是对教学质量进行过程控制的重要手段。采用多层前传网络结构(back-propaga-tionnet2workconstruction,BP网络),测试教学质量评价体现的完整性,让教学质量评价系统更充分的体现其功能,希望能通过BP神经网络的自学习自识别模式理论更好的对评价的指标进行衡量,从而更好的对评价的结果的有效性、合理性进行把握。
[Abstract]:Teaching quality evaluation is an important means to control teaching quality. By using the back-Propagation 2 Network Construction BP network, the integrity of the evaluation of teaching quality is tested, so that the evaluation system of teaching quality can fully reflect its function. It is hoped that the self-learning self-recognition pattern theory of BP neural network can be used to better measure the evaluation index, so that the validity and rationality of the evaluation results can be better grasped.
【作者单位】：重庆理工大学计算机学院;
【分类号】：G420

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