Modeling and interpretation of electrical resistivity data in anisotropic media using a generalized regression neural network: A case study on the Lokbatan mud volcano, Azerbaijan-Reference-Cited by-同舟云学术

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Modeling and interpretation of electrical resistivity data in anisotropic media using a generalized regression neural network: A case study on the Lokbatan mud volcano, Azerbaijan

Published:2024-05 Issue: Volume:224 Page:105365
ISSN:0926-9851
Container-title:Journal of Applied Geophysics
language:en
Short-container-title:Journal of Applied Geophysics

Author:

Gasimov Elnur,Pekşen Ertan,Durdağ Doğukan,Salamov Avaz,Najafov Orkhan

Publisher

Elsevier BV

Reference60 articles.

1. Atlas of the World Mud Volcanoes;Aliyev,2015

2. Geosciences of Azerbaijan;Alizadeh,2016

3. Geosciences of Azerbaijan;Alizadeh,2017

4. Azimuthal Resistivity Sounding with the Symmetric Schlumberger and the Alpha Wenner Arrays to study subsurface electrical anisotropy variation with depth;Asare;Inter. J. Sci. Res. Pub,2015

5. Neural network toolbox;Beale,2010

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