基于神经网络的高校实验教学质量评价研究  

Using Neural Network to Evaluate University Teachers' Experimental Teaching Quality

作　　者：谢红艳[1] 朱允华[1] 刘俊[1] 杨晓燕[1] 胡劲松[1] 秦志峰[1] 

机构地区：[1]南华大学,湖南衡阳421001

出　　处：《中国现代教育装备》2015年第11期59-60,共2页China Modern Educational Equipment

基　　金：南华大学高等教育研究与改革立项项目(编号:2013XJG46)

摘　　要：在分析了高校教师实验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实验教学质量评价体系。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。Based on the analysis of features of Experimental teaching quality appraisal of teacher sin colleges and universities, an evaluation model of university teachers’ Experimental teaching quality based on fuzzy theory and BP neural network is introduced. The model transforms teaching evaluation indicators into qualiifed 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.

关 键 词：神经网络 实验教学质量 评价 

分 类 号：G642.0[文化科学—高等教育学]