Dual-polarized Base Station Antenna Design using Machine Learning-Assisted Optimization Method-Reference-Cited by-同舟云学术

Dual-polarized Base Station Antenna Design using Machine Learning-Assisted Optimization Method

Published:2021-12-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)
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Author:

Wang Subin¹,Wu Qi¹,Yu Chen¹,Wang Haiming¹,Hong Wei¹,Yin Weishuang²

Affiliation:

1. Southeast University,State Key Lab. (SKL) of Millimeter Waves,Nanjing,China,210096

2. ZTE Corporation,SKL of Mobile Network and Mobile Multimedia Tech.,Shanghai,China,201210

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9703448/9703685/09704698.pdf?arnumber=9704698

Reference6 articles.

1. Design of Broadband Reflectarray Antenna Using Machine-Learning-Assisted Optimization Method;yi;2019 International Symposium on Antennas and Propagation ISAP 2019-Proceedings,2019

2. Reference point-based nondominated sorting multi-objective quantum-inspired evolutionary algorithm

3. Multistage Collaborative Machine Learning and its Application to Antenna Modeling and Optimization

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