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Neural networks in image analysis of complex systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13430%2F01%3A00001411" target="_blank" >RIV/44555601:13430/01:00001411 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural networks in image analysis of complex systems

  • Original language description

    In this contribution a new approach to the image analysis of the systems consisting of a large number of individual objects based on neural networks is presented. This technique can profoundly simplify the image analysis of more complicated systems. Thecontribution presents and compares some morphological methods as pre-processing algorithms for neural networks, which is a principal task for a neural networks application.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BL - Plasma physics and discharge through gases

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2001

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Europhysics Conference on Computational Physics 2001 Aachen

  • ISBN

    3-00-008236-0

  • ISSN

  • e-ISSN

  • Number of pages

    1

  • Pages from-to

    107

  • Publisher name

    John von Neumann Institute for Computing

  • Place of publication

    Julich

  • Event location

    Aachen

  • Event date

    Sep 5, 2001

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article