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Broadband Modelling of Wire Antennas by Genetic Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU43979" target="_blank" >RIV/00216305:26220/04:PU43979 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Broadband Modelling of Wire Antennas by Genetic Neural Networks

  • Original language description

    The paper describes an approach to learning artificial neural networks (ANN) with the genetic algorithm (GA). Two types of ANN are used: the recurrent Elman ANN and the feed-forward one. Neural networks are implemented in MATLAB. Results of training abilities are discussed.

  • Czech name

    Širkopásmové modelování drátových antén genetickými neuronovými sítěmi

  • Czech description

    V článku je popsána postup učení umělých neuronových sítí (UNS) genetickým algoritmem. Dva typy UNS jsou implementovány v MATLABu. The paper describes an approach to learning artificial neural networks (ANN) with the genetic algorithm (GA). Two types ofANN are used: the recurrent Elman ANN and the feed-forward one. Neural networks are implemented in MATLAB. Results of training abilities are discussed.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    RADIOELEKTRONIKA 2004 - Conference Proceedings

  • ISBN

    80-227-2017-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    484-487

  • Publisher name

    Slovak University of Technology in Bratislava

  • Place of publication

    NEUVEDEN

  • Event location

    Bratislava

  • Event date

    Apr 27, 2004

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article