A Hybrid Logistic Regression: Gene Expression Programming Model and Its Application to Mineral Prospectivity Mapping

Mineral prospectivity mapping (MPM) is a fundamental task in mineral exploration. The logistic regression (LR) method has been widely used as a data-driven tool for MPM because it is compact and straightforward, and it presents explicit explanations. However, there exists the inherent deficiency of...

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Veröffentlicht in:	Natural resources research (New York, N.Y.) N.Y.), 2022-08, Vol.31 (4), p.2041-2064
Hauptverfasser:	Xiao, Fan, Chen, Weilin, Wang, Jun, Erten, Oktay
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Case studies Chemistry and Earth Sciences Classification Computer Science Data mining Datasets Earth and Environmental Science Earth Sciences Evolutionary algorithms Fossil Fuels (incl. Carbon Capture) Gene expression Gene mapping Geography Machine learning Mapping Mathematical Modeling and Industrial Mathematics Mineral exploration Mineral Resources Modelling Monte Carlo simulation Original Paper Physics Porphyry copper Regression analysis Regression models Spatial data Statistics for Engineering Sustainable Development Synthetic data
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