MINERÍA la mejor puerta de acceso al sector minero EDICIÓN 588 / SEPTIEMBRE 2026 51 Figura 9. Mapas de prospectividad generados por cada modelo: (a) RF, (b) MLP, (c) CNN, (d) GCN. characteristic (ROC) curve. [Publisher: Radiological Society of North America (RSNA)]. Radiology, 143(1), 29–36. https://doi.org/10.1148/ radiology.143.1.7063747 Hariharan, S., Tirodkar, S., Porwal, A., Bhattacharya, A., & Joly, A. 2017. Random Forest-Based Prospectivity Modelling of Greenfield Terrains Using Sparse Deposit Data: An Example from the Tanami Region, Western Australia. Natural Resources Research, 26, 489–507. https://doi. org/10.1007/s11053-017-9335-6 Joly, A., Porwal, A., & McCuaig, T. C. 2012. Exploration targeting for orogenic gold deposits in the Granites-Tanami Orogen: Mineral system analysis, targeting model and prospectivity analysis [Publisher: Elsevier BV]. Ore Geology Reviews, 48, 349–383. https://doi.org/10.1016/j.oregeorev.2012.05.004 Kingma, D. P., & Ba, J. 2017. Adam: A method for stochastic optimization. https://arxiv.org/ abs/1412.6980 Kipf, T., & Welling, M. 2017. Semi-Supervised Classification with Graph Convolutional Networks. International Conference on Learning Representations. https://doi.org/10.48550/arXiv.1609.02907 Knox-Robinson, C. M., & Wyborn, L. A. I. 1997. Towards a holistic exploration strategy: Using Geographic Information Systems as a tool to enhance exploration [Publisher: Informa UK Limited]. Australian Journal of Earth Sciences, 44(4), 453–463. https://doi. org/10.1080/08120099708728326 LeCun, Y., Bengio, Y., & Hinton, G. 2015. Deep learning [Publisher: Springer Science and Business Media LLC]. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539 Li, B., Yu, Z., & Ke, X. 2023. One-dimensional convolutional neural network for mapping mineral prospectivity: A case study in Changba ore concentration area, Gansu Province [Publisher: Elsevier BV]. Ore Geology Reviews, 160, 105573. https://doi.org/10.1016/j.oregeorev.2023.105573 Li, X., Xue, C., Chen, Y., Yuan, F., Li, Y., Zheng, C., Zhang, M., Ge, C., Guo, D., Lan, X., Tang, M., & Lu, S. 2023. 3D convolutional neural network-based 3D mineral prospectivity modeling for targeting concealed mineralization within Chating area, middle-lower Yangtze River metallogenic Belt, China [Publisher: Elsevier BV].
RkJQdWJsaXNoZXIy MTM0Mzk2