Deep learning based source reconstruction method using asymmetric encoder–decoder​ structure and physics-induced loss

This paper proposes a novel deep learning (DL) based source reconstruction method (SRM). The proposed DL-based SRM employs the deep convolutional asymmetric encoder–decoder structure (DCAEDS), which only demands one-time single-frequency far-field measurement on EM scattered field as its input and f...

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Vydané v:	Journal of computational and applied mathematics Ročník 438; s. 115503
Hlavní autori:	Ng, Michael, Yao, He Ming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2024
Predmet:	Convolutional neural network Deep learning Real time Source reconstruction method Deep learning Source reconstruction method Real time Convolutional neural network
ISSN:	0377-0427
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