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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2022
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| Materias: | |
| 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 |