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基于BP神经网络的教材质量评价研究
引用本文:陈江丽,张嵘. 基于BP神经网络的教材质量评价研究[J]. 大理学院学报:综合版, 2014, 0(12): 31-34
作者姓名:陈江丽  张嵘
作者单位:临沧师范高等专科学校,云南临沧,677000
基金项目:云南省教育厅科学研究基金资助项目(2013C037);临沧师范高等专科学校自然科学基础应用研究基金资助项目
摘    要:教材质量评价是教材管理工作的关键环节。为了对教材质量进行科学有效地评价,提高评价工作的效率,建立了基于BP神经网络的教材质量评价模型。经过BP神经网络的构建、训练和分类等主要工作,建立了一个具有较高准确率的教材质量评价模型。通过分析结果表明,该模型能够科学和高效地评价教材的质量,具有较高的实用性。

关 键 词:BP神经网络  教材质量评价  分类  神经网络构建  神经网络训练

Research on Evaluation of Teaching Material Quality Based on BP Neural Network
CHEN Jiangli,ZHANG Rong. Research on Evaluation of Teaching Material Quality Based on BP Neural Network[J]. Journal of Dali University, 2014, 0(12): 31-34
Authors:CHEN Jiangli  ZHANG Rong
Affiliation:(Lincang Teachers' College, Lincang, Yunnan 677000, China)
Abstract:Evaluation of teaching material quality is the key link in teaching material management. In order to evaluate the quality of teaching material scientifically and effectively, an evaluation model is established based on BP neural network. With the main work such as the BP neural network building, training and classification finished, a teaching material quality evaluation model with higher accuracy is set up. Analysis shows that the model is very practical and can evaluate in an efficient and scientific way.
Keywords:BP neural network  teaching material quality evaluation  classification  BP neural network building  BP neural network training
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