Application of Grey Clustering Analysis Method inMineral Prediction

被引：0

作者：

Ma Yanying ^{[1
,2
]}

Wang Xue ^{[3
]}

Li Xiuzhen ^{[4
]}

Zhang Na ^{[5
]}

机构：

[1] Jilin Univ, Jilin Engn Normal Univ, Changchun, Peoples R China

[2] Jilin Univ, Inst Mineral Resources Predict Synthet, Changchun, Peoples R China

[3] Fuyang Teachers Coll, Math & Finice Sch, Fuyang, Peoples R China

[4] Jilin Engn Normal Univ, Changchun, Peoples R China

[5] Shenyang Jianzhu Univ, Coll Art & Design, Shenyang, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND SOCIETY | 2016年 / 37卷

关键词：

grey system; clustering analysis; Eastern Yanbian; mineral resources prediction;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we establish grey clustering analysis model to predict mineral resources and apply it in the prediction of gold and copper minerals in the eastern Yanbian, Jilin province, by transforming the mineral prediction problem into grey clustering analysis problem. Among the geological units, 31 are selected as cluster objects, referencing to 3 evaluation indexes. And the prospecting target is divided into class A, B and C with the comprehensive value of superiority degree calculated, and finally 21 gold copper mine areas are delineated, where 12 are class A, 10 and 9 of class B and C respectively. tested by the survey results, the prediction is more objective and effective having been which provide a reasonable scientific basis for strategic deployment in the research area of ore prospecting.

引用

页码：1500 / 1503

页数：4

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