A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection-Reference-Cited by-同舟云学术

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A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection

Published:2024-08 Issue: Volume:190 Page:105657
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Soltani Zeinab,Hassani Hossein,Esmaeiloghli Saeid

Publisher

Elsevier BV

Reference99 articles.

1. Geomathematics: Theoretical Foundations, Applications and Future Developments;Agterberg,2014

2. Mixtures of multiplicative cascade models in geochemistry. Nonlinear Process;Agterberg;Geophys,2007

3. Measuring the performance of mineral-potential maps;Agterberg;Nat. Resour. Res.,2005

4. Statistical pattern integration for mineral exploration;Agterberg,1990

5. The statistical analysis of geochemical compositions;Aitchison;J. Int. Assoc. Math. Geol.,1984

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