Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
Machine learning-assisted antenna design optimization: A review and the state-of-the-art
Antenna design optimization continues to attract a lot of interest. This is mainly because
traditional antenna design methodologies are exhaustive and have no guarantee of yielding …
traditional antenna design methodologies are exhaustive and have no guarantee of yielding …
Multistage collaborative machine learning and its application to antenna modeling and optimization
A multistage collaborative machine learning (MS-CoML) method that can be applied to
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …
Fast multi-objective optimization of multi-parameter antenna structures based on improved BPNN surrogate model
J Dong, W Qin, M Wang - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, a surrogate model based on a sparsely connected back propagation neural
networks (SC-BPNN) is proposed to reduce the large computational cost of conventional …
networks (SC-BPNN) is proposed to reduce the large computational cost of conventional …
A learning-based dipole yagi-uda antenna and phased array antenna for mmwave precoding and v2v communication in 5g systems
In this article, a compact, wideband Yagi-Uda antenna and its phased array antenna is
optimized by a multi-objective antenna for the millimeter-wave (mmWave) band of fifth …
optimized by a multi-objective antenna for the millimeter-wave (mmWave) band of fifth …
[图书][B] Multi-objective design of antennas using surrogate models
S Koziel, A Bekasiewicz - 2016 - books.google.com
This book addresses computationally-efficient multi-objective optimization of antenna
structures using variable-fidelity electromagnetic simulations, surrogate modeling …
structures using variable-fidelity electromagnetic simulations, surrogate modeling …
Efficient global optimisation of microwave antennas based on a parallel surrogate model‐assisted evolutionary algorithm
Computational efficiency is a major challenge for evolutionary algorithm (EA)‐based
antenna optimisation methods due to the computationally expensive electromagnetic …
antenna optimisation methods due to the computationally expensive electromagnetic …
Efficient online data-driven enhanced-XGBoost method for antenna optimization
WT Li, HS Tang, C Cui, YQ Hei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The tremendous progress in artificial intelligence promotes the wide application of machine
learning (ML) technology in the field of electronic science. Recently ML-based antenna …
learning (ML) technology in the field of electronic science. Recently ML-based antenna …
Fast EM-driven size reduction of antenna structures by means of adjoint sensitivities and trust regions
S Koziel, A Bekasiewicz - IEEE Antennas and Wireless …, 2015 - ieeexplore.ieee.org
In this letter, a simple yet robust and computationally efficient optimization technique for
explicit size reduction of antenna structures is presented. Our approach directly handles the …
explicit size reduction of antenna structures is presented. Our approach directly handles the …
[图书][B] Simulation-based optimization of antenna arrays
S Koziel, S Ogurtsov - 2019 - World Scientific
Computer-aided design (CAD) of antenna arrays is becoming a common practice these
days. In a significant part, this is due to development of computational electromagnetics …
days. In a significant part, this is due to development of computational electromagnetics …