Volume 39 Issue 1
Feb.  2011
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LIU Beizhan, LIANG Bing. Prediction of seamfloor water inrush based on combining principal component analysis and support vector regression[J]. COAL GEOLOGY & EXPLORATION, 2011, 39(1): 28-30,35. DOI: 10.3969/j.issn.1001-1986.2011.01.007
Citation: LIU Beizhan, LIANG Bing. Prediction of seamfloor water inrush based on combining principal component analysis and support vector regression[J]. COAL GEOLOGY & EXPLORATION, 2011, 39(1): 28-30,35. DOI: 10.3969/j.issn.1001-1986.2011.01.007
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Prediction of seamfloor water inrush based on combining principal component analysis and support vector regression

  • 1. College of Science, Liaoning Technical University, Fuxin 123000, China;

  • 2. College of Mechanics and Engineering, Liaoning Technical University, Fuxin 123000, China

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  • Received Date: May 01, 2010
  • Available Online: March 09, 2023
    Graphical Abstract
    • Abstract
  • This paper proposed a prediction method that is based on combing principal component analysis and support vector regression. Principal component analysis was used to select input variables. The prediction model considers all-sided influencing factors and avoids the low precision and slow training induced by over-input. The example shows that it eliminates the relevance among factors, reduces the input variables and improves the accuracy and efficiency.
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