2012Meitan xuebaoOpen access

Gas emission quantity prediction of working face based on principal component regression analysis method

Yan Wang

Open full text 11 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Principal component analysis, Principal component regression, Regression analysis, Face (sociological concept), Linear regression, Regression, Statistics, Component (thermodynamics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Gas emission quantity prediction of working face based on principal component regression analysis method — Research Paper | ScholarLens