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DELA - An Evolutionary learning algorithms for neural networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26520%2F00%3A63300104" target="_blank" >RIV/00216305:26520/00:63300104 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    DELA - An Evolutionary learning algorithms for neural networks

  • Original language description

    Aim of this contribution is to show how a new evolutionary algorithm can be used like learning algorithm for various neural networks. In this contribution is explained how differential evolution works and how is used for neural network learning. Variousexperiments are made and compared with standard neural algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Symposium on Engineering of Intelligent Systems

  • ISBN

    3-906454-21-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Publication by ICSC Academic Press International Computer Science Conventions, Canada, Switzerland

  • Place of publication

    Paisley, Scotland

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article