Training of Deep Neural Networks in Electromagnetic Problems: a Case Study of Antenna Array Pattern Synthesis-Reference-Cited by-同舟云学术

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Training of Deep Neural Networks in Electromagnetic Problems: a Case Study of Antenna Array Pattern Synthesis

Published:2021-05-23 Issue: Volume: Page:
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Container-title:2021 IEEE MTT-S International Wireless Symposium (IWS)
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Author:

Zhou Zhao,Wei Zhaohui,Zhang Yufeng,Wang Peng,Ren Jian,Yin Yingzeng,Pederson Gert Frolund,Shen Ming

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9499315/9499341/09499638.pdf?arnumber=9499638

Cited by 5 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. Linear antenna array modeling with deep neural networks;International Journal of Applied Electromagnetics and Mechanics;2023-12-14

2. A High-Quality Data Acquisition Method for Machine-Learning-Based Design and Analysis of Electromagnetic Structures;IEEE Transactions on Microwave Theory and Techniques;2023-10

3. Beam Steering for Array Antenna Based on Deep Learning;2023 International Applied Computational Electromagnetics Society Symposium (ACES-China);2023-08-15

4. Bayesian-Inspired Sampling for Efficient Machine-Learning-Assisted Microwave Component Design;IEEE Transactions on Microwave Theory and Techniques;2023

5. Efficient Radiation Pattern Prediction of Array Antennas Based on Complex-Valued Graph Neural Networks;IEEE Antennas and Wireless Propagation Letters;2022-12

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