Gas emission quantity prediction of working face based on principal component regression analysis method
Yan Wang
Abstract
Yan Wang
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.
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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.
Key concepts: Principal component analysis, Principal component regression, Regression analysis, Face (sociological concept), Linear regression, Regression, Statistics, Component (thermodynamics)