Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran

Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran

Identification of geochemical anomalies plays an essential role in mineral exploration. Recent research investigations have shown that Machine Learning (ML) algorithms can identify geochemical anomalies associated with mineralization that represent targets for mineral exploration. Machine Learning a...

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Bibliographic Details
Main Authors: Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur
Format: Article
Language:fas
Published: Ferdowsi University of Mashhad 2024-10-01
Series:Journal of Economic Geology
Subjects:
geochemical anomaly
machin learning
fractal modeling
mineral prospectivity mapping
hashtjin
Online Access:https://econg.um.ac.ir/article_45781.html?lang=en
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