Gas emission quantity prediction of working face based on principal component regression analysis method
Abstract:In order to predict the relative amount of the working face,used the principal components analysis method to analyze the principal component of the amount of gas emitted from working face,and to predict working face gas emission quantity by using many steps on linear regression analysis based on the principal component.The results show that the principal component regression analysis method reduces the consider number of variables of regression analysis,the result has good accuracy.
Keywords:principal component analysismany steps linear regressionworking facegas emission quantity
Publication Date:2012-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Journal of China Coal Society

Journal of China Coal Society

PKUISTICEI
ISSN:0253-9993
Year, Vol.(Issue):2012,37(1)