Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144839" target="_blank" >RIV/00216305:26220/22:PU144839 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9764945" target="_blank" >https://ieeexplore.ieee.org/document/9764945</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA54537.2022.9764945" target="_blank" >10.1109/RADIOELEKTRONIKA54537.2022.9764945</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions

Popis výsledku v původním jazyce

Neural networks are used extensively these days to solve many problems of daily life. The architecture of the neural network has a major influence on the quality of the estimate obtained with the help of the neural network. Nevertheless, the design of the neural network architecture is far from being a solved problem. This paper formulates the Feedforward Network architecture design as a multi–objective optimization problem with a variable number of dimensions. The purpose of the neural network is to estimate the design parameters of the circularly–polarized patch antenna. An example instance of the problem is then solved with the help of the VNDGDE3 algorithm that can solve the general multi–objective optimization problem with a variable number of dimensions. Results of this problem show that a neural network with an optimal complexity can be designed with the proposed methodology.

Název v anglickém jazyce

Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions

Popis výsledku anglicky

Neural networks are used extensively these days to solve many problems of daily life. The architecture of the neural network has a major influence on the quality of the estimate obtained with the help of the neural network. Nevertheless, the design of the neural network architecture is far from being a solved problem. This paper formulates the Feedforward Network architecture design as a multi–objective optimization problem with a variable number of dimensions. The purpose of the neural network is to estimate the design parameters of the circularly–polarized patch antenna. An example instance of the problem is then solved with the help of the VNDGDE3 algorithm that can solve the general multi–objective optimization problem with a variable number of dimensions. Results of this problem show that a neural network with an optimal complexity can be designed with the proposed methodology.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 32nd International Conference Radioelektronika, RADIOELEKTRONIKA 2022

ISBN

978-1-7281-8686-3

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

149-154

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

neuveden

Místo konání akce

Košice

Datum konání akce

21. 4. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000856002200032