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 …
learning (ML) in antenna design and optimization. An overview of the conventional …
ANN‐based design of a versatile millimetre‐wave slotted patch multi‐antenna configuration for 5G scenarios
This study addresses the modelling of a dual band (28 and 38 GHz), circularly polarised
slotted‐patch‐antenna for highly demanded millimetre wave multi‐input multi‐output (MIMO) …
slotted‐patch‐antenna for highly demanded millimetre wave multi‐input multi‐output (MIMO) …
C-shaped split ring resonator type metamaterial antenna design using neural network
A C-shaped split ring resonator-based metamaterial (MTM) structure placed on a patch
antenna is proposed. An artificial neural network (ANN) is applied to design and determine …
antenna is proposed. An artificial neural network (ANN) is applied to design and determine …
Optimisation of reflection coefficient of microstrip antennas based on KBNN exploiting GPR model
Y Chen, YB Tian, Z Qiang, L Xu - IET Microwaves, Antennas & …, 2018 - Wiley Online Library
When microstrip antennas (MSAs) are optimised, the full‐wave electromagnetic simulation
takes long time to get the result which is very time consuming. Hence, the knowledge‐based …
takes long time to get the result which is very time consuming. Hence, the knowledge‐based …
Modeling of circular fractal antenna using BFO‐PSO–based selective ANN ensemble
S Pattnaik, SS Pattnaik… - International Journal of …, 2019 - Wiley Online Library
Accurate design of miniaturized antenna is constrained by the limited well‐formulated exact
mathematical expressions. Demands for smart devices with features like portability …
mathematical expressions. Demands for smart devices with features like portability …
Performance parameters prediction of slotted microstrip antennas with modified ground plane using support vector machine
Artificial neural networks (ANNs) have acquired enormous importance in computing of the
performance parameters of microstrip antennas due to their generalized and adaptive …
performance parameters of microstrip antennas due to their generalized and adaptive …
[PDF][PDF] 一种基于多维均匀采样与Kriging 模型的天线快速优化方法
陈晓辉， 裴进明， 郭欣欣， 齐松 - 电子与信息学报, 2014 - edit.jeit.ac.cn
天线优化设计中, 由于经典优化算法一般需要对同一结构的成百上千组参数进行电磁仿真后才能
得出最优结果, 因此多参数, 大范围的天线优化设计存在计算效率问题. 该文利用Kriging …
得出最优结果, 因此多参数, 大范围的天线优化设计存在计算效率问题. 该文利用Kriging …
Miniaturization of a PIFA antenna for biomedical applications using artificial neural networks
This work deals with the optimization of an inverted F dual-band implantable antenna
operating in Medical Device Radiocommunications Service (MedRadio, 401-406 MHz) and …
operating in Medical Device Radiocommunications Service (MedRadio, 401-406 MHz) and …
Spectral Domain Analysis of Resonant Characteristics of High Tc Superconducting Rectangular Microstrip Patch Printed on Isotropic or Uniaxial Anisotropic …
In this paper, radiation characteristics of the perfectly superconducting, or an imperfectly
conducting rectangular microstrip, which is printed on isotropic or uniaxial anisotropic …
conducting rectangular microstrip, which is printed on isotropic or uniaxial anisotropic …
Design of inset fed rectangular shaped microstrip patch antenna using deep neural networks
This paper presents a deep neural network to design an inset fed rectangular shaped
microstrip patch antenna. To design the shape of such antenna, a multilayer perceptron …
microstrip patch antenna. To design the shape of such antenna, a multilayer perceptron …