Multilayer feed-forward neural networks in prediction and predictive control of semi-batch reactor

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869752" target="_blank" >RIV/70883521:28140/13:43869752 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/13:43869752
Result on the web
<a href="http://www.naun.org/multimedia/NAUN/mcs/16-627.pdf" target="_blank" >http://www.naun.org/multimedia/NAUN/mcs/16-627.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multilayer feed-forward neural networks in prediction and predictive control of semi-batch reactor
Original language description
The contribution studies prediction of the given semibatch reactor using multilayer feed-forward neural networks. The two prediction approaches are tested-signal prediction approach and system prediction methodology. The first approach is commonly applied in time series prediction, while the input-output models in the second methodology are used for example in the control tasks. Furthermore, the resulting predictor is used for the model predictive control of the reactor in order to test performance of the developed method.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Mathematics and Computers in Simulations
ISSN
1998-0159
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
33-41
UT code for WoS article
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EID of the result in the Scopus database
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