Cuckoo optimization algorithm for support vector regression potential analysis: An example from the Granites-Tanami Orogen, Australia

This study describes the supervised support vector regression method and cuckoo optimization algorithm (COA-SVR), a newly developed mineral potential modelling (MPM) technique, and a case study of its application to predicting gold potential in the Granites-Tanami Orogen (GTO), Australia. COA-SVR, w...

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Vydáno v:	Journal of geochemical exploration Ročník 230; s. 106858
Hlavní autoři:	Roshanravan, Bijan, Kreuzer, Oliver P., Mohammadi, Sadjad, Bruce, Matt, Davis, James, Briggs, Matt
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2021
Témata:	Cuckoo optimization algorithm Gold Granites-Tanami Orogen Machine learning Mineral potential modelling Support vector regression Gold Support vector regression Cuckoo optimization algorithm Granites-Tanami Orogen Mineral potential modelling Machine learning
ISSN:	0375-6742, 1879-1689
On-line přístup:	Získat plný text
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