基于灰色关联分析的矿产预测方法研究

Research on Mineral Resource Prediction Methods on the Basis of Grey Relational Analysis

灰色关联分析不同于相关系数,从另一个角度给出因素之间关联程度的度量方法。本文应用灰色关联分析方法来处理化探数据,以研究区内的5个已知单元中联系度最小者作为母序列,26个未知单元作为子序列,探讨了基于灰色关联分析的矿产预测方法,通过将此结果与综合信息预测结果进行对比验证,二者结果基本相符,效果令人满意,此方法具有可行性。

Grey relational analysis is different from the correlation coefficient, is a measurement method that gives the correlation degree among factors from another angle. This paper deals with the geochemical exploration data by the application of grey correlation analysis method, with the smallest connection degree one among the known 5 units in the study area as the parent sequence, 26 unknown units as the subsequence, discusses the mineral resource prediction methods based on grey relational analysis. By the comparison validation between this result and comprehensive information prediction result, two results are consistent, and the effect is satisfactory, so this method has the feasibility.