An Efficient Time-Domain Electromagnetic Algorithm Based on LSTM Neural Network-Reference-Cited by-同舟云学术

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An Efficient Time-Domain Electromagnetic Algorithm Based on LSTM Neural Network

Published:2021-07 Issue:7 Volume:20 Page:1322-1326
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Wu Fengbo,Fan Mengning,Liu Wenyuan,Liang Bingyang,Zhou Yuanguo^ORCID

Funder

Natural Science Basic Research Plan in Shaanxi Province of China

Shaanxi University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/9475570/09428581.pdf?arnumber=9428581

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Few-Shot Radar Target Recognition via Meta-Learning and Integrated Time-Frequency Domain Features;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

2. Predicting of spatial electric field generated by substation switch operation based on AOS-GCN-LSTM Model;International Journal of Applied Electromagnetics and Mechanics;2023-12-14

3. TEM Strata Inversion Imaging with IP Effect Based on Enhanced GCN by Extracting Long-Dependency Features;Electronics;2023-10-04

4. An End-to-End Neural Network for Complex Electromagnetic Simulations;IEEE Antennas and Wireless Propagation Letters;2023-10

5. Enhancement of Electromagnetic Scattering Computation Acceleration Using LSTM Neural Networks;Electronics;2023-09-15

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