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
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DOI - Digital Object Identifier
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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
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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
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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
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EID of the result in the Scopus database
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