Convolutional neural networks with SegNet architecture applied to three-dimensional tomography of subsurface electrical resistivity: CNN-3D-ERT

SUMMARY In general, the inverse problem of electrical resistivity tomography (ERT) is treated using a deterministic algorithm to find a model of subsurface resistivity that can numerically match the apparent resistivity data acquired at the ground surface and has a smooth distribution that has been...

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Veröffentlicht in:	Geophysical journal international Jg. 225; H. 2; S. 1319 - 1331
Hauptverfasser:	Vu, M T, Jardani, A
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford University Press 01.05.2021 Oxford University Press (OUP)
Schlagworte:	Earth Sciences Geophysics Sciences of the Universe Neural networks, fuzzy logic Hydrogeophysics Electrical resistivity tomography (ERT) Numerical modelling Inverse theory Neural networks fuzzy logic
ISSN:	0956-540X, 1365-246X
Online-Zugang:	Volltext
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