A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges
Antenna design is a kind of electromagnetic (EM) engineering problem and normally
formulated as complex nonlinear optimization problem. Evolutionary computation (EC) was …
formulated as complex nonlinear optimization problem. Evolutionary computation (EC) was …
A Low-Cost Optimization Method for 2D Antennas Using a Disassemblable Convolutional Neural Network
F Peng, X Chen - IEEE Transactions on Antennas and …, 2024 - ieeexplore.ieee.org
To enhance antenna optimization efficiency, a common method involves constructing a
surrogate model for the antenna. This model establishes a rapid mapping relationship …
surrogate model for the antenna. This model establishes a rapid mapping relationship …
Modeling of Biomedical Antennas through Forecasting DNN for the Enlarged Bandwidth
L Kouhalvandi, M Alibakhshikenari… - 2024 17th United …, 2024 - ieeexplore.ieee.org
Recently, wireless medical technologies are growing day-by-day resulting in complex
structures and topologies. Hence, advanced methods are required for designing and …
structures and topologies. Hence, advanced methods are required for designing and …
Inverse design of a novel multiport power divider based on hybrid neural network
S Sun, M Zhu, B Qi, C Liu - Concurrency and Computation: Practice … - Wiley Online Library
In this study, we propose an inverse design approach based on a neural network for a novel
multiport power divider (MP‐PD) with complex geometry. The inverse design approach is …
multiport power divider (MP‐PD) with complex geometry. The inverse design approach is …