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Comparison of Learning Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU77224" target="_blank" >RIV/00216305:26220/08:PU77224 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Learning Algorithms

  • Original language description

    There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are used for the control of modern telecommunication network nodes

  • Czech name

    Porovnání učících algoritmů

  • Czech description

    Příspěvek porovnává vybrané učící algoritmy neuronových sítí.

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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    24 th Biennial Symposium on Communications

  • ISBN

    978-1-4244-1946-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Queens University Kingston

  • Place of publication

    Kingston, Canada

  • Event location

    Kingson

  • Event date

    Jun 24, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article