A neural network method for the inverse scattering problem of impenetrable cavities

DOI10.3934/era.2020062OpenAlexW3036370170MaRDI QIDQ779935

Jiawei Ge, Pinchao Meng, Weishi Yin, Fuheng Qu

Publication date: 14 July 2020

Published in: Electronic Research Archive (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/era.2020062

zbMATH Keywords

convergencecavityartificial neural networkinverse scattering problemnear-field data

Mathematics Subject Classification ID

Numerical analysis (65-XX)

Related Items (5)

ODE-RU: a dynamical system view on recurrent neural networks ⋮ The interior inverse scattering problem for a two-layered cavity using the Bayesian method ⋮ Broad Learning System with Preprocessing to Recover the Scattering Obstacles with Far–Field Data ⋮ A hybrid method for the interior inverse scattering problem ⋮ A neural network method for time-dependent inverse source problem with limited-aperture data

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