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Publication detail
KADLEC, P.
Original Title
Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Artificial Neural Network, Differential Evolution, Multi-objective Optimization, Variable Number of Dimensions, Antenna Design, Circular Polarization.
Authors
Released
22. 4. 2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
978-1-7281-8686-3
Book
Proceedings of 32nd International Conference Radioelektronika, RADIOELEKTRONIKA 2022
Pages from
149
Pages to
154
Pages count
6
URL
https://ieeexplore.ieee.org/document/9764945
BibTex
@inproceedings{BUT178293, author="Petr {Kadlec}", title="Design of Artificial Neural Network for Antenna Synthesis using the Optimization with Variable Number of Dimensions", booktitle="Proceedings of 32nd International Conference Radioelektronika, RADIOELEKTRONIKA 2022", year="2022", pages="149--154", publisher="Institute of Electrical and Electronics Engineers Inc.", doi="10.1109/RADIOELEKTRONIKA54537.2022.9764945", isbn="978-1-7281-8686-3", url="https://ieeexplore.ieee.org/document/9764945" }