Quantification of Uncertainty Associated with Evidence Layers in Mineral Prospectivity Mapping Using Direct Sampling and Convolutional Neural Network - Yang, Fanfan; Wang, Ziye; Zuo, Renguang; Sun, Siquan; Zhou, Bao (Natural resources research (New York, N.Y.), 2023)
Keywords: Algorithms; Artificial neural networks; case studies; Chemistry and Earth Sciences; China; Computer Science; Computer simulation; Earth and Environmental Science; Earth Sciences; Fossil Fuels (incl. Carbon Capture); Geography; gold; Mapping; Mathematical Modeling and Industrial Mathematics; Mineral deposits; Mineral exploration; Mineral Resources; Neural networks; Original Paper; Physics; prediction; Prediction models; risk; Risk analysis; river valleys; Sampling; Statistics for Engineering; Sustainable Development; Uncertainty; Yangtze River; China; Yangtze River; Direct sampling; Mineral prospectivity mapping; Uncertainty analysis; Convolutional neural network