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...

Full description

Bibliographic Details

Published in:	Journal of computational and applied mathematics Vol. 438; p. 115503
Main Authors:	Ng, Michael, Yao, He Ming
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2024
Subjects:	Convolutional neural network Deep learning Real time Source reconstruction method Deep learning Source reconstruction method Real time Convolutional neural network
ISSN:	0377-0427
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!