Autor: |
Bowen Tang, Xiaoying Yang, Lin Su |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
AIMS Mathematics, Vol 9, Iss 6, Pp 13607-13623 (2024) |
Druh dokumentu: |
article |
ISSN: |
2473-6988 |
DOI: |
10.3934/math.2024664?viewType=HTML |
Popis: |
We consider the inverse scattering problem of reconstructing the boundary of an obstacle by using far-field data. With the plane wave as the incident wave, a priori information of the impenetrable obstacle can be obtained via the linear sampling method. We have constructed the shape parameter inversion model based on a neural network to reconstruct the obstacle. Numerical experimental results demonstrate that the model proposed in this paper is robust and performs well with a small number of observation directions. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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