On the recovery of two function-valued coefficients in the Helmholtz equation for inverse scattering problems via neural networks On the recovery of two function-valued coefficients in the Helmholtz
Recently, deep neural networks (DNNs) have become powerful tools for solving inverse scattering problems. However, the approximation and generalization rates of DNNs for solving these problems remain largely under-explored. In this work, we introduce two types of combined DNNs (uncompressed and comp...
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Published in | Advances in computational mathematics Vol. 51; no. 1 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.02.2025
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Subjects | |
Online Access | Get full text |
ISSN | 1019-7168 1572-9044 |
DOI | 10.1007/s10444-025-10225-z |
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