Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 32nd International Conference Radioelektronika, RADIOELEKTRONIKA 2022
ISBN
978-1-7281-8686-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
149-154
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Košice
Event date
Apr 21, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000856002200032