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Distributed Genetic and Eugenic Algorithms for Prediction of Gross Domestic Product Development by Frontal Neural Network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F04%3A00001788" target="_blank" >RIV/00216275:25410/04:00001788 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distributed Genetic and Eugenic Algorithms for Prediction of Gross Domestic Product Development by Frontal Neural Network

  • Original language description

    The paper presents the possibility of the design and application frontal neural networks for prediction of gross domestic product development with learning by distributed genetic and eugenic algorithms.

  • Czech name

    Distribuované genetické a eugenické algoritmy na predikciu hrubého domáceho produktu pomocou frontálnych neurónových sietí

  • Czech description

    Článok obsahuje možnosť návrhu a použitia frontálnych neurónových sietí na predikciu vývoja hrubého domáceho produktu s učením pomocou distribuovaných genetických a eugenických algoritmov.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Proc. of the IEEE 4th International Conference on Intelligent Systems Desing and Applications

  • ISBN

    963-7154-30-2

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    7-13

  • Publisher name

    IEEE Press

  • Place of publication

    Hungary

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article