Inversion of 2D cross-hole electrical resistivity tomography data using artificial neural network

Geophysical inversion is often ill-posed because of its nonlinearity and the ordinary measured data of measured data. To deal with these problems, an artificial neural network (ANN) has been introduced with the capability of a nonlinear and complex problem for geophysical inversion. This study aims...

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Detalles Bibliográficos
Autores principales: Chhun, Kean Thai, Woo, Sang Inn, Yune, Chan-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Manuscript
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364945/
https://www.ncbi.nlm.nih.gov/pubmed/35099315
http://dx.doi.org/10.1177/00368504221075465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364945/
https://www.ncbi.nlm.nih.gov/pubmed/35099315
http://dx.doi.org/10.1177/00368504221075465

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