Application of neural networks in nonlinear inverse problems of geophysics

DOI10.1134/S096554252006007XzbMath1450.86004OpenAlexW3046715615MaRDI QIDQ2207582

I. E. Obornev, M. I. Shimelevich, E. A. Obornev, Evgeny A. Rodionov

Publication date: 23 October 2020

Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s096554252006007x

zbMATH Keywords

inverse problema priori estimatesneural networksapproximationa posteriori estimatesbig datajoint data interpretationmulticriteria inverse problem

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Computational methods for problems pertaining to geophysics (86-08)

Cites Work

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• Forward modeling with forced neural networks for gravity anomaly profile
• Isogeometric collocation method for the fractional Laplacian in the 2D bounded domain
• Joint inversion: a structural approach

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