Artificial Neural Networks - Possible Approach to Nonlinear System Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892246" target="_blank" >RIV/60461373:22340/11:43892246 - 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
Artificial Neural Networks - Possible Approach to Nonlinear System Control
Original language description
Artificial Neural Networks (ANN) have traditionally enjoyed considerable attention in process control applications. Thus, the paper is focused on real system control design using neural networks. The point is to show whether neural networks bring betterperformances to nonlinear process control or not.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Industrial and Control Engineering Applications
ISBN
978-953-307-220-3
Number of pages of the result
18
Pages from-to
359-376
Number of pages of the book
478
Publisher name
InTech
Place of publication
Rijeka
UT code for WoS chapter
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