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基于补偿模糊神经网络在高校课堂评价中的应用
引用本文:张体芳.基于补偿模糊神经网络在高校课堂评价中的应用[J].高教论坛,2012(2):43-44,85.
作者姓名:张体芳
作者单位:柳州职业技术学院
基金项目:广西教育科学“十二五”规划项目资助(2011C0187)课题名称“高职工科类专业学生核心能力培养的研究与实践”
摘    要:分析了补偿模糊神经网络的原理及其实现过程,并把它应用到高校课堂综合评价中,构建了高校课堂教学质量评价的补偿神经网络模型。实验结果表明,该评价模型能够较好地对课堂教学质量进行综合的评价,评价结果有利于促进课堂教学质量的提高。

关 键 词:模糊神经网络  教学质量  综合评价

The Application of Based on Compensated Fuzzy Neural Network in the University Course Comprehensive Evaluation
ZHANG Ti-fang.The Application of Based on Compensated Fuzzy Neural Network in the University Course Comprehensive Evaluation[J].higher education forum,2012(2):43-44,85.
Authors:ZHANG Ti-fang
Institution:ZHANG Ti-fang(Liuzhou Vocational and Technological College,Liuzhou 545006,China)
Abstract:This paper analyses compensatory fuzzy neural network theory and its implementation process,and applies it to the comprehensive evaluation in college classroom,to build a university teaching quality evaluation of compensation neural network model.Experimental results show that the model can better evaluate the quality of teaching in the classroom to conduct a comprehensive evaluation,the evaluation results will help to promote improvement in the quality of classroom teaching.
Keywords:fuzzy neural network  teaching quality  comprehensive evaluation
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