J4 ›› 2014, Vol. 13 ›› Issue (12): 31-34.

• 数学与计算机科学 • 上一篇    下一篇

基于BP神经网络的教材质量评价研究

  

  1. 临沧师范高等专科学校,云南临沧677000
  • 收稿日期:2014-03-21 出版日期:2014-12-15 发布日期:2014-12-15
  • 作者简介:陈江丽,讲师,主要从事数据仓库和数据挖掘研究.
  • 基金资助:

    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(LCSZL2013009)

Research on Evaluation of Teaching Material Quality Based on BP Neural Network

  1. Lincang Teachers' College, Lincang, Yunnan 677000, China
  • Received:2014-03-21 Online:2014-12-15 Published:2014-12-15

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

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.

Key words: BP neural network, teaching material quality evaluation, classification, BP neural network building, BP neural network
training

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