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Extension clustering prediction for the cavability of ore rock
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Combining extension engineering method with clustering analysis，the classification and value range of influence factors of ore rock capability are used to set up the classical and limited matter-elements。A simple extension clustering prediction model is constructed by using the correlated function of matter element and extension set。On the basis of applying the model into actual mine，quantitative classification prediction results are obtained。Comparing the results evaluated by RQD method，RMR method，MRMR method and Q-system to the result of extension clustering prediction for the capability of ore rock，the comparison indicates the feasibility of extension clustering prediction method。Furthermore，extension clustering prediction can reflects both of the absoluteness and relativity of matter appurtenant grade。
Capabilityextension setclustering analysismatter-element model
GUO Guanfu、ZHOU Hongyun
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Keping Zhou@School of Resources and Safety Engineering,Central South University,Changsha,China
Hunan Key Lab of Mineral Resources Exploitation and Hazard Control for Deep Metal Mines,Changsha,China--Feng Gao@School of Resources and Safety Engineering,Central South University,Changsha,China
International Symposium on Computational Intelligence and Industrial Applications;ISCIIA 2008
[Dali(CN)];[Dali(CN)]
Computational Intelligence and Industrial Applications
NETL
