Deep Long Short-Term Memory Networks-Based Solving Method for the FDTD Method: 2-D Case-Reference-Cited by-同舟云学术

Deep Long Short-Term Memory Networks-Based Solving Method for the FDTD Method: 2-D Case

Published:2023-05 Issue:5 Volume:33 Page:499-502
ISSN:2771-9588
Container-title:IEEE Microwave and Wireless Technology Letters
language:
Short-container-title:IEEE Microw. Wireless Tech. Lett.

Author:

Zhang Huan Huan¹^ORCID,Yao He Ming²^ORCID,Jiang Lijun³^ORCID,Ng Michael²

Affiliation:

1. Department of Electronic Engineering, Xidian University, Xi’an, China

2. Department of Mathematics, The University of Hong Kong, Hong Kong, China

3. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

Funder

Hong Kong Research Grant Council

Fellowship Award from the Research Grants Council, Hong Kong Special Administrative Region, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9944983/10122179/10004864.pdf?arnumber=10004864

Reference18 articles.

1. Long Short-Term Memory

2. Implementing the fast full wave electromagnetic forward solver using the deep convolutional encoder–decoder architecture;yao;IEEE Trans Antennas Propag,2022

3. Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder–Decoder Architecture for Electromagnetic Inverse Scattering Problems

4. Long Short-Term Memory-Networks for Machine Reading

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