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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Vydáno v:	Journal of computational and applied mathematics Ročník 438; s. 115503
Hlavní autoři:	Ng, Michael, Yao, He Ming
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.03.2024
Témata:	Convolutional neural network Deep learning Real time Source reconstruction method Deep learning Source reconstruction method Real time Convolutional neural network
ISSN:	0377-0427
On-line přístup:	Získat plný text
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