利用模糊-BP神经网络评价高校教师教学质量  

Using Fuzzy-BP Neural Network to Evaluate University Teachers' Teaching Quality

作　　者：吕云玲[1] 全雪峰[1] 孟晓红[1] 宗山林[1] 

机构地区：[1]南阳医学高等专科学校,河南南阳473000

出　　处：《计算机时代》2009年第8期36-38,共3页Computer Era

基　　金：河南省教育科学"十一五"规划2008年课题(2008-JKGHAGH-504)

摘　　要：为提高高校教师教学质量评价的科学性和合理性,简单分析了传统线性方法进行教师教学质量评价的缺点,介绍了一种基于模糊理论与BP神经网络的高校教师教学质量评价模型。该模型将教学评价指标概念量化成确定的数据作为BP网络的输入,模糊综合评价结果作为输出。运用Matlab进行实证研究发现,将该方法用于高校教师教学质量评价中,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。In order to improve the scientificity and rationality of university teachers＇ teaching quality evaluation. The disadvantages of traditional linear method used in evaluating teaching quality are simply analyzed and 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 empirical study by use of Matlab shows that the method, applied to university teachers＇ teaching quality evaluation, 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：模糊理论 神经网络 教学质量 评价 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] G642.0[自动化与计算机技术—控制科学与工程]