Recognition of mineralization-related anomaly patterns through an autoencoder neural network for mineral exploration targeting

In mineral potential mapping, supervised machine learning algorithms have shown great promise in delineating and prioritizing potential areas. However, since mineralization being a relatively rare geological event, most supervised machine learning-based models face substantial challenges in properly...

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Bibliographic Details
Published inApplied geochemistry Vol. 158; p. 105807
Main Authors Mirzabozorg, Seyyed Ataollah Agha Seyyed, Abedi, Maysam
Format Journal Article
LanguageEnglish
Published 01.11.2023
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