A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling

Mou, Nini; Carranza, Emmanuel John M.; Wang, Gongwen; Sun, Xiang

doi:10.1007/s11053-023-10272-7

Nat Resour Res

2023

DOI: 10.1007/s11053-023-10272-7

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A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling

Nini Mou,

Emmanuel John M. Carranza,

Gongwen Wang

et al.

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Cited by 6 publications

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A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling

Cited by 6 publications

References 91 publications

Machine Learning Prediction of Deep Potential Ores and its Explanation Based on Integration of 3D Geological Model and Numerical Dynamics Simulation: An Example from Dongguashan Orefield, Tongling Copper District, China

Machine Learning Prediction of Deep Potential Ores and its Explanation Based on Integration of 3D Geological Model and Numerical Dynamics Simulation: An Example from Dongguashan Orefield, Tongling Copper District, China

Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector machines and random forest

Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms

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