Deep-Learning-Equipped Iterative Solution of Electromagnetic Scattering From Dielectric Objects-Reference-Cited by-同舟云学术

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Deep-Learning-Equipped Iterative Solution of Electromagnetic Scattering From Dielectric Objects

Published:2023-07 Issue:7 Volume:71 Page:5954-5966
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Xue Bo-Wen¹^ORCID,Guo Rui²^ORCID,Li Mao-Kun²^ORCID,Sun Sheng³^ORCID,Pan Xiao-Min¹^ORCID

Affiliation:

1. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

2. Department of Electronic Engineering, Tsinghua University, Beijing, China

3. School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/8/10174790/10098760-aam.pdf

Reference63 articles.

1. On the use of wavelet expansions in the method of moments (EM scattering)

2. DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering

3. Complex multipole beam approach to electromagnetic scattering problems

4. Millimeter-Wave Adaptive Glucose Concentration Estimation With Complex-Valued Neural Networks

5. Analysis and performance of a distributed memory multilevel fast multipole algorithm

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