Research on ore prospecting prediction based on maximum entropy model

Taking the Pb–Zn-Fe deposit in Luziyuan area of Yunnan Province as the research object, the maximum entropy model was used to extract the prospecting information in the research area. The Pb–Zn-Fe deposits and relevant regional exploration data in this area were utilized to establish a model for mineral resource prediction, and the Pb–Zn-Fe prospecting prospect area in the research area was determined. The first and second components (PC1 and PC2) of the principal component scores (PC1 and PC2) of equidistant logarithmic transformation geochemical data were selected as model inputs. PC1 represented a major geochemical signature of the product of tectonic processes. PC2 was a secondary geochemical feature. Then, the importance of each evidence map was quantitatively ranked by principal component analysis. The response curves and marginal effect curves show that mineral exploration technology should be carried out in zoning according to the different metallogenic characteristics of Pb–Zn-Fe deposits. The experimental results show that the maximum entropy algorithm can be effectively applied to mineral resource exploration.