首页    期刊浏览 2024年07月19日 星期五
登录注册

文章基本信息

  • 标题:Prediction of Water Inrush from Coal Floor Based on Small Sample Data Mining Technology and Realization Using MATLAB
  • 本地全文:下载
  • 作者:Yang, Li ; Liu, Chengcheng ; Han, Jing
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2012
  • 卷号:7
  • 期号:10
  • 页码:2241-2246
  • DOI:10.4304/jsw.7.10.2241-2246
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:For there are few samples of water inrush from coal floor, how to dig wider information under the circumstance of limited sample data is to improve the prediction accuracy of water inrush form coal floor. Therefore, prediction model of water inrush is established based on correlation analysis and support vector machine (SVM). Not only does the model simplify the influenced indexes to construct the index system of water inrush from coal floor, but also dig the value of sample data to solve the problem of small sample and nonlinear prediction. Through the empirical analysis, the model using MATLAB can accurately predict whether water inrush from coal floor occurs.
  • 关键词:Small Sample;Support Vector Machine;Correlation Analysis;Prediction of Water Inrush;MATLAB
国家哲学社会科学文献中心版权所有