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Artificial Neural network inspired by homeostasis in biological networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F11%3A00184856" target="_blank" >RIV/68407700:21260/11:00184856 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificial Neural network inspired by homeostasis in biological networks

  • Original language description

    The presented neural network is composed of so-called homeostatic neurons. The basic idea of this research is to use the principle of homeostasis in the field of artificial neural networks. The learning process of the neuron is cmpared to the search of the homeostatic position of biological system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of 17th International Conference on Soft Computing (MENDEL 2011)

  • ISBN

    978-80-214-4302-0

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    232-235

  • Publisher name

    VUT v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 15, 2011

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article