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Signal Prediction By Elman Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F03%3A63501240" target="_blank" >RIV/70883521:28110/03:63501240 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Signal Prediction By Elman Networks

  • Original language description

    This contribution presents an application of Elman neural networks for signal prediction. After short description of basic approaches to prediction by artificial neural networks it focuses on Elman networks background. Advantages of this method are presented in simulation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F03%2F0070" target="_blank" >GA102/03/0070: Application of advanced control methods</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • 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 the 14th International DAAAM Symposium

  • ISBN

    3-901509-34-8

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    397-398

  • Publisher name

    DAAAM International Vienna

  • Place of publication

    Vienna

  • Event location

    Sarajevo

  • Event date

    Oct 22, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article