Predictive Control Using Artificial Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F03%3A63501239" target="_blank" >RIV/70883521:28110/03:63501239 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Predictive Control Using Artificial Neural Networks
Original language description
Artificial neural networks are a part of artificial intelligence that simulates a function of human brain. These progressive algorithms are used in prediction, pattern recognition (sound, image), process control and other branches. Neural networks have compared to classic methods advantage that they do not need to know model of predicted system for their function. In addition, they are tolerant of time series noise. There are many different approaches to the use of neural networks in predictive controlsystems. This contribution presents one method based on multilayer feedforward networks.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F03%2F0070" target="_blank" >GA102/03/0070: Application of advanced control methods</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of International Carpathian Control Conference ICCC' 2003
ISBN
80-7099-509-2
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
731-732
Publisher name
Technická univerzita v Košiciach
Place of publication
Košice
Event location
Tatranská Lomnica
Event date
May 26, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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