Application of entropy coefficient grey correlation analysis in coal sample recognition
WANG Jiangrong
LUO Ziqin
WEN Hui
ZHAO Zhenxue
Abstract：The common coal identification methods,which are influenced greatly by human factors,require high level sample data.While the accuracy is poor.Provided a grey correlation analysis method based on the information entropy.Combining the entropy theory and gray rela-tional analysis,established the entropy coefficient grey correlation analysis of coal type identification model which applies to anthracite,bi-tuminous coal and lignite.The accuracy of the model was tested by antidromic method.Taking the modeling coal sample and coal sample un-der test as research objects,compared the accuracy of entropy coefficient grey correlation degree analysis method and fuzzy identification method.The first analysis method has a high recognition efficiency to the two kinds of coal samples,both the efficiency are 100%.While the efficiency of the second method is 83.33% and 75.00%,the total accuracy rate is 81.25%.The generalization and reliability of the entropy coefficient grey correlation analysis method is high.
Keywords：entropy coefficientgrey correlation analysiscoal sample recognitionfuzzy recognition methodmodel
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 28-31,35 )