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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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