Rodriguez-Galiano, V.; Sanchez-Castillo, M.; Chica-Olmo, M.; Chica-Rivas, M. (2015) Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geology Reviews, 71. doi:10.1016/j.oregeorev.2015.01.001

Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines | ||
Journal | Ore Geology Reviews | ||
Authors | Rodriguez-Galiano, V. | Author | |
Sanchez-Castillo, M. | Author | ||
Chica-Olmo, M. | Author | ||
Chica-Rivas, M. | Author | ||
Year | 2015 (December) | Volume | 71 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.oregeorev.2015.01.001Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 237889 | Long-form Identifier | mindat:1:5:237889:7 |
GUID | 0 | ||
Full Reference | Rodriguez-Galiano, V.; Sanchez-Castillo, M.; Chica-Olmo, M.; Chica-Rivas, M. (2015) Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geology Reviews, 71. doi:10.1016/j.oregeorev.2015.01.001 | ||
Plain Text | Rodriguez-Galiano, V.; Sanchez-Castillo, M.; Chica-Olmo, M.; Chica-Rivas, M. (2015) Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geology Reviews, 71. doi:10.1016/j.oregeorev.2015.01.001 | ||
In | (2015) Ore Geology Reviews Vol. 71. Elsevier BV |
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