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Neural Networks Learning Methods For Image Processing Application

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F05%3APU52077" target="_blank" >RIV/00216305:26220/05:PU52077 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural Networks Learning Methods For Image Processing Application

  • Original language description

    This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures.

  • Czech name

    Učící metody neuronových sítí pro aplikace zpracování obrazu

  • Czech description

    This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F03%2F0560" target="_blank" >GA102/03/0560: New methods of providing and monitoring auality of services in next generation networks</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    WSEAS International Conference

  • ISBN

    960-8457-17-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    25-30

  • Publisher name

    WSEAS

  • Place of publication

    Brazílie

  • Event location

    Rio de Janeiro

  • Event date

    Apr 25, 2005

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article