articleOre Geology ReviewsJan 6, 2015Closed access

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

VRVíctor Rodríguez‐GalianoMSM. Sánchez-CastilloMCMario Chica‐OlmoMCM. Chica-Rivas

University of Southampton · Wellcome/MRC Cambridge Stem Cell Institute · +2 more institutions

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1,487
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4

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Topics
Keywords
  • Prospectivity mapping
  • Random forest
  • Support vector machine
  • Artificial neural network
  • Machine learning
  • Interpretability
  • Artificial intelligence
  • Robustness (evolution)
UN Sustainable Development Goals
  • Life in Land
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