首页> 外文会议>2010 International Conference on Artificial Intelligence and Education >Study on forecasting model of CET4 passing-rate in general academy with rough set ANN
【24h】

Study on forecasting model of CET4 passing-rate in general academy with rough set ANN

机译:粗糙集与人工神经网络在普通高校四级考试合格率预测模型研究

获取原文

摘要

This paper analyses main factors influencing CET4 passing-rate after investigating some classes and reducing related factors based on rough set to find out the core factor and minimum reduction, and then sets up forecasting model of low passing rate with ANN. In virtue of this situation, to switch original post-controlling into pre-controlling in general academy is expected to avoid low passing-rate in maximum.
机译:本文在对几类课程进行调查,并根据粗糙集对相关因素进行归约分析后,分析了影响CET4通过率的主要因素,找出了核心因素和最小减少量,然后运用人工神经网络建立了低通过率的预测模型。鉴于这种情况,期望在普通学院中将原始的后控制转换为预控制,以最大程度地避免低通过率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号