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Constructing Hierarchical Neural Nets Using Sparse Distributed Memory

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3A43700008" target="_blank" >RIV/00216305:26220/00:43700008 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Constructing Hierarchical Neural Nets Using Sparse Distributed Memory

  • Original language description

    This paper discusses a possibility of the hierarchical neural nets construction using Kanerva's Sparse Distributed Memory (SDM). SDM is an associative neural memory and can be used in visual pattern recognition.

  • 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

    ASIS 2000 Proceedings of the Colloquium

  • ISBN

    80-85988-51-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    MARQ / ASIS 2000

  • Place of publication

    ČR

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article