首页|Findings from Institute of Mineral Resources Reveals New Findings on Machine Lea rning (Mineral Prospectivity Mapping Using Machine Learning Techniques for Gold Exploration In the Larder Lake Area, Ontario, Canada)
Findings from Institute of Mineral Resources Reveals New Findings on Machine Lea rning (Mineral Prospectivity Mapping Using Machine Learning Techniques for Gold Exploration In the Larder Lake Area, Ontario, Canada)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Beijing, People's Republic of China , by NewsRx journalists, research stated, "A mineral prospectivity map (MPM) foc using on gold mineralization in the Larder Lake region of Northern Ontario, Cana da, has been produced in this study. We have used the Random Forest (RF) algorit hm to use 32 predictor maps integrating geophysical, geochemical, and geological datasets from various sources that represent vectors to gold mineralization." Financial support for this research came from Canada First Research Excellence F und (CFREF). The news correspondents obtained a quote from the research from the Institute of Mineral Resources, "It is evident from the efficiency of classification curves that MPMs generated are robust. The unsupervised algorithms, K -means and princi pal component analysis (PCA) were used to investigate and visualize the clusteri ng nature of large geochemical and geophysical datasets. We used RQ-mode PCA to compute variable and object loadings simultaneously, which allows the displays o f observations and the variables at the same scale. PCA biplots of the Larder La ke geochemical data show that Au is strongly correlated with W, S, Pb and K, but inversely correlated with Fe, Mn, Co, Mg, Ca, and Ni. The known gold mineraliza tion locations were well classified by RF with the accuracy of 95.63 % . Furthermore, partial least squares -discriminant analysis (PLS-DA) model combi nes 3D geophysical clusters and geochemical compositions, which indicates the Au -rich areas are characterized with low to mid resistivity - low susceptibility properties. We conclude that the Larder Lake -Cadillac deformation zone (LLCDZ) is relatively more fertile than the Lincoln-Nipissing shear zone (LNSZ) with res pect to gold mineralization due to deeper penetrating faults. The intersection o f the LLCDZ and network of high -angle NE -trending cross faults acts as key con duits for gold endowments in the Larder Lake area."
BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningInstitute of Mineral Resour ces
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