Efficient Antenna Modeling and Optimization Using Multifidelity Stacked Neural Network-Reference-Cited by-同舟云学术

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Efficient Antenna Modeling and Optimization Using Multifidelity Stacked Neural Network

Published:2024-05 Issue:5 Volume:72 Page:4658-4663
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Tan Ju¹^ORCID,Shao Yu²^ORCID,Zhang Jiliang³^ORCID,Zhang Jie¹^ORCID

Affiliation:

1. Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K.

2. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

3. College of Information Science and Engineering, Northeastern University, Shenyang, China

Funder

European Union’s H2020-Marie Skłodowska-Curie Actions Individual Fellowship (MSCA-IF)-Glass Assessment Technology for glass Embedded antennas

EuropeanUnion’s H2020-MSCAIF-optimal design of Admixtures of concrete embedded Large Scale Antenna Array

Open Research Fund of National Mobile Communications Research Laboratory, Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8/10516670/10495769.pdf?arnumber=10495769

Reference30 articles.

1. Design of a multiband CPW-fed monopole antenna using a particle swarm optimization approach

2. Design of a Band-Notched Planar Monopole Antenna Using Genetic Algorithm Optimization

3. Reduced-cost two-level surrogate antenna modeling using domain confinement and response features

4. Machine-learning-assisted optimization and its application to antenna designs: Opportunities and challenges

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