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Synthesis of artificial neural networks by of evolutionary methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F07%3A63506992" target="_blank" >RIV/70883521:28140/07:63506992 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Synthesis of artificial neural networks by of evolutionary methods

  • Original language description

    This work deals with a problem of synthesis of the artificial neural networks using the evolutional scanning method. The basic task to be solved is to create a symbolic regression algorithm on principles of analytic programming, which will be capable ofperforming a convenient neural network synthesis. The main motivation here is the computerization of such synthesis and discovering so far unknown solutions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Workshop ETID 2007 in DEXA 2007

  • ISBN

    978-0-7695-2932-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Německo

  • Event location

    Regensburg - Německo

  • Event date

    Jan 1, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article