Error control and loss functions for the deep learning inversion of borehole resistivity measurements-Reference-Cited by-同舟云学术

Error control and loss functions for the deep learning inversion of borehole resistivity measurements

Author:

Shahriari Mostafa¹²,Pardo David³⁴⁵,Rivera Jon A.³⁴^ORCID,Torres‐Verdín Carlos⁶,Picon Artzai³⁷,Del Ser Javier³⁴⁷,Ossandón Sebastian⁸,Calo Victor M.⁹

Affiliation:

1. Software Competence Center Hagenberg GmbH (SCCH) Hagenberg Austria

2. Euskampus Fundazioa Bilbao Spain

3. University of the Basque Country (UPV/EHU) Leioa Spain

4. Basque Center for Applied Mathematics (BCAM) Bilbao Spain

5. Ikerbasque (Basque Foundation for Sciences) Bilbao Spain

6. The University of Texas at Austin Austin Texas USA

7. Tecnalia, Basque Research & Technology Alliance Derio Spain

8. Pontificia Universidad Católica de Valparaíso Valparaíso Chile

9. Curtin University Perth Western Australia Australia

Funder

European Regional Development Fund

Eusko Jaurlaritza

H2020 Marie Skłodowska-Curie Actions

Ministerio de Ciencia e Innovación

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

Reference46 articles.

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