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《Mineral Engineering Research》 2009-03
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Cluster analysis and prediction of the amount of gas emitted from coal face

ZHAN Haiguang1,YIN Liping2(1.Sicuan Huayingshan Guangneng(Group) Co.Ltd.,Guang'an 638600,China;2.Department of Teaching Affairs Administration,Hunan University of Science and Technology,Xiangtan 411201,China)  
The research purpose is to predict the amount of gas emitted from coal face.The gas emission data are analyzed using the fuzzy C-mean cluster algorithm.The sample classification,Cluster centers and membership degrees of samples are obtained.The classification criterion of gas emission is established to validate the veracity of fuzzy C-mean cluster algorithm.According to the influencing factors of gas emission and cluster centers,categorization prediction model for gas emission is founded by using grey incidence analysis method,and is applied to predict testing samples.Based on the combination of the fuzzy C-mean cluster algorithm and the categorization prediction model,the categorization prediction of gas emission is achieved.Finally,the method is applied to practical examples.The application shows that the method is feasible to predicting the amount of gas emitted from coal face.
【CateGory Index】: TD712.5
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