Application of Grey Clustering Analysis Method inMineral Prediction

DOI

10.2991/emcs-16.2016.376How to use a DOI?

Keywords

Grey system; Clustering analysis; Eastern Yanbian; Mineral resources prediction

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanying Ma
AU  - Xiuzhen Li
AU  - Xue Wang
AU  - Na Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Application of Grey Clustering Analysis Method inMineral Prediction
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1500
EP  - 1503
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.376
DO  - 10.2991/emcs-16.2016.376
ID  - Ma2016/01
ER  -