| 基于修正的BP神经网络的教学质量评价模型 |
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| 引用本文： | 祭兵.基于修正的BP神经网络的教学质量评价模型[J].吉首大学学报(自然科学版),2011,32(1):67-70. |
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| 作者姓名： | 祭兵 |
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| 作者单位： | (襄樊学院物理与电子工程学院,湖北 襄樊 441053) |
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| 基金项目： | 襄樊学院教学科研项目(YJ200913) |
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| 摘 要： | 为改进和完善高校教师教学质量的定量评价,给出了3种评价方法:层次分析法;基于聚类法的多元回归分析法;基于BP神经网络的评价方法.重点分析了3种方法的评价原理,指出了它们的优缺点,并提出了基于修正的BP神经网络的评价模型,为建立科学的高校教师教学质量评价体系提供参考.
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| 关 键 词： | 教学质量评价 层次分析法 多元回归分析法 |
Teaching Quality Evaluation Model Based on Revised BP Neural Network |
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| CAI Bing.Teaching Quality Evaluation Model Based on Revised BP Neural Network[J].Journal of Jishou University(Natural Science Edition),2011,32(1):67-70. |
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| Authors: | CAI Bing |
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| Affiliation: | (School of Physics and Electronic Engineering，Xiangfan University,Xiangfan 441053,Hubei China) |
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| Abstract: | To improve and perfect the quantitative evaluation of university teaching quality,three evaluation methods are given,i.e.,AHP,multiple regression analysis based on clustering method and evaluation method based on BP neural network.The evaluating principles of three methods are analyzed,and their advantages and disadvantages are pointed out.The study is a certain reference for the establishment of a more scientific evaluation system of teaching quality. |
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| Keywords: | teaching quality evaluation AHP multiple regression analysis |
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