| 基于神经网络的高校教师课堂教学质量评价 |
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| 引用本文： | 左国平,谢红艳,邱小平,于涛,宋碧英.基于神经网络的高校教师课堂教学质量评价[J].中国现代教育装备,2011(3):97-99. |
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| 作者姓名： | 左国平 谢红艳 邱小平 于涛 宋碧英 |
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| 作者单位： | 南华大学,湖南衡阳,421001 |
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| 基金项目： | 湖南省普通高等学校教学改革项目;南华大学高等敦育与改革课题，南华大学岛等教育与改革课题 |
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| 摘 要： | 在分析了高校教师教学质量评价特点的基础上,构建了一种基于模糊理论与神经网络的高校教师教学质量评价体系。该模型将教学评价指标概念量化成确定的数据作为网络的输入,模糊综合评价结果作为输出。该方法既克服了评价主体在评价过程中的主观因素,又得到了满意的评价结果,具有广泛的适用性。
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| 关 键 词： | 模糊理论 神经网络 教学质量 评价 |
Using neural network to evaluate university teachers' teaching quality |
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| Zuo Guoping,Xie Hongyan,Qiu Xiaoping,Yu Tao,Song Biying.Using neural network to evaluate university teachers' teaching quality[J].China Modern Education Equipment,2011(3):97-99. |
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| Authors: | Zuo Guoping Xie Hongyan Qiu Xiaoping Yu Tao Song Biying |
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| Institution: | University of south China,Hengyang,421001,China |
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| Abstract: | Based on the analysis of features of teaching quality appraisal of teacher sin colleges and universities,an evaluation model of university teachers＇ teaching quality based on fuzzy theory and BP neural network is introduced.The model transforms teaching evaluation indicators into qualified data as BP network input and takes fuzzy synthetic evaluation results as output.the method can both overcome the subjective factors of evaluation main body in evaluation process and bring the satisfactory evaluating results,and it has the widespread serviceability. |
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| Keywords: | fuzzy theory neural network teaching quality evaluation |
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