Prospectivity Mapping of Mineral Deposits in Northern Norway Using Radial Basis Function Neural Networks

Prospectivity Mapping of Mineral Deposits in Northern Norway Using Radial Basis Function Neural Networks

In this paper, the radial basis function neural network (RBFNN) is used to generate a prospectivity map for undiscovered copper-rich (Cu) deposits in the Finnmark region, northern Norway. To generate the input data for RBFNN, geological and geophysical data, including up to 86 known mineral occurren...

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Bibliographic Details
Main Authors: Cyril Juliani, Steinar L. Ellefmo
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Minerals
Subjects:
mineral resource
prospectivity
mapping
radial basis function
artificial neural networks
Norway
Online Access:https://www.mdpi.com/2075-163X/9/2/131

Internet

https://www.mdpi.com/2075-163X/9/2/131

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