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基于BP神经网络的实践教学质量评价模型研究
引用本文:鄂媛媛,霍天强. 基于BP神经网络的实践教学质量评价模型研究[J]. 实验室科学, 2009, 0(5): 8-11
作者姓名:鄂媛媛  霍天强
作者单位:1. 内蒙古工业大学管理学院
2. 内蒙古工业大学,高等教育研究所,内蒙古,呼和浩特010051
摘    要:该文利用反向传播(Back Propagation,BP)神经网络建立实践教学质量评价模型。将实践教学质量评价指标量化为确定的数据作为其输入,实践教学质量作为输出。运用Excel进行实证研究,发现将该方法运用于实践教学质量评价中,较好的模拟了评价专家进行综合评价的过程,得到了满意的评价结果。

关 键 词:BP神经网络  实践教学质量  教学评价

A study of evaluating practical teaching quality based on BP neural network approach
E Yuan-yuan,HUO Tian-qiang. A study of evaluating practical teaching quality based on BP neural network approach[J]. Laboratory Science, 2009, 0(5): 8-11
Authors:E Yuan-yuan  HUO Tian-qiang
Affiliation:1. Administration College, Inner Mongolia Universirty of Technology ; 2. Higher Education Institute, Inner Mongolia Universirty of Technology, Huhehaote 010051, China)
Abstract:The paper constructs an evaluation model for practical teaching quality based on Back Propagation (BP) neural network. It makes the indicators of evaluating practical teaching quality as input data,while practical teaching quality as output results. The empirical conclusion obtained from the use of Excel is that BP neural network is suitable for practical teaching quality evaluation and also makes a better analogy to the experts evaluation process. The results are satisfactory with wide application.
Keywords:BP neural network  practical teaching quality  education evaluation
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