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What are artificial neural networks and what they can do ?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG44__%2F05%3A00001251" target="_blank" >RIV/60162694:G44__/05:00001251 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    What are artificial neural networks and what they can do ?

  • Original language description

    The artificial neural networks (ANN) are very often applied in many areas of toxicology for the solving of complex problems, such as the prediction of chemical compound properties and quantitative structure-activity relationship. The aim of this contribution is to give the basic knowledge about conception of ANN, theirs division and finally, the typical application of ANN will be discussed. Due to the diversity of architectures and adaptation algorithms, the ANNs are used in the broad spectrum of applications from the environmental processes modeling, through the optimization to quantitative structure-activity relationship (QSAR) methods. In addition, especially ANNs with Kohonen learning are very effective classification tool. The ANNs are mostly applied in cases, where the commonly used methods does not work.

  • Czech name

    Co jsou umělé neuronové sítě a k čemu slouží?

  • Czech description

    Popsáno, co jsou umělé neuronové sítě a k čemu slouží.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FP - Other medical fields

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ONVLAJEP20031" target="_blank" >ONVLAJEP20031: New possibilities of therapy of cyclosin intoxication: Synthesis and testing of new acethylcholinesterase reactivators</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Biomedical Papers

  • ISSN

    1213-8118

  • e-ISSN

  • Volume of the periodical

    149

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    4

  • Pages from-to

    221-224

  • UT code for WoS article

  • EID of the result in the Scopus database