Automated optimization for broadband flat‐gain antenna designs with artificial neural network

F Mir, L Kouhalvandi, L Matekovits… - IET Microwaves …, 2021 - Wiley Online Library
An automated optimization process for designing and optimising high‐performance single
microstrip antennas is presented. It consists of the successive use of two optimization …

A fast systematic approach for microstrip antenna design and optimization using ANFIS and GA

A Dadgarnia, AA Heidari - Journal of Electromagnetic Waves and …, 2010 - Taylor & Francis
In this paper an approach for optimizing the physical parameters of microstrip antennas is
presented. Although this method can be used for optimizing any kind of antennas, our focus …

Expedited simulation‐driven design optimization of UWB antennas by means of response features

S Koziel, A Bekasiewicz - International Journal of RF and …, 2017 - Wiley Online Library
In this work, a method for fast design optimization of broadband antennas is considered. The
approach is based on a feature‐based optimization (FBO) concept where reflection …

Design of a wideband microstrip antenna and the use of artificial neural networks in parameter calculation

DK Neog, SS Pattnaik, DC Panda… - IEEE Antennas and …, 2005 - ieeexplore.ieee.org
This paper deals with the design of a multi-slot hole-coupled microstrip antenna on a
substrate of 2 mm thickness that gives multi-frequency (wideband) characteristics. The …

A review on the design and optimization of antennas using machine learning algorithms and techniques

HM El Misilmani, T Naous… - International Journal of …, 2020 - Wiley Online Library
This paper presents a focused and comprehensive literature survey on the use of machine
learning (ML) in antenna design and optimization. An overview of the conventional …

Genetic algorithm optimization of some novel broadband and multiband microstrip antennas

TG Spence, DH Werner, RD Groff - IEEE Antennas and …, 2004 - ieeexplore.ieee.org
The design of microstrip antennas usually involves specifying the values of several
parameters that define its geometry and material characteristics. When there is a large …

Neural network modeller for design optimisation of multilayer patch antennas

NP Somasiri, X Chen, AA Rezazadeh - IEE Proceedings-Microwaves, Antennas …, 2004 - IET
The development of a neural network modeller for the optimisation of a dual-band multilayer
microstrip patch antenna is presented. The multilayer antenna is built on an in-house semi …

Surrogate-based design optimization of multi-band antenna

A Belen, Ö Tarı, P Mahouti, MA Belen… - Applied Computational …, 2022 - dspace.arel.edu.tr
In this work, design optimization process of a multi-band antenna via the use of artificial
neural network (ANN) based surrogate model and meta-heuristic optimizers are studied. For …

Application of artificial neural networks to broadband antenna design based on a parametric frequency model

Y Kim, S Keely, J Ghosh, H Ling - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
An artificial neural network (ANN) is proposed to predict the input impedance of a
broadband antenna as a function of its geometric parameters. The input resistance of the …

Simulation-driven design of broadband antennas using surrogate-based optimization

S Koziel, S Ogurtsov - Simulation-Driven Design Optimization and …, 2013 - books.google.com
Antenna design is a challenging task that includes, among others, the adjustment of
geometry and material parameters so as to obtain the required antenna response with …