ON-LINE TRAINED NEURAL NETS IN REAL-PROCESS CONTROL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F99%3A43700003" target="_blank" >RIV/00216305:26220/99:43700003 - 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
ON-LINE TRAINED NEURAL NETS IN REAL-PROCESS CONTROL
Original language description
This paper deals with the use of artificial neural networks employed as an on-line trained controller for a real process and simulation model control.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F98%2F0552" target="_blank" >GA102/98/0552: Research and applications of heterogenous models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
1999
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
NEURAL NETWORK WORLD
ISSN
1210-0552
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
1-2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
15
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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