Prediction of Semi-Batch Reactor Using Multilayered Feed-Forward Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43869325" target="_blank" >RIV/70883521:28140/12:43869325 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/12:43869325
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Prediction of Semi-Batch Reactor Using Multilayered Feed-Forward Neural Networks
Original language description
The contribution focuses on artificial neural networks application for prediction of chemical semi-batch reactor output. There are studied two approaches to prediction. The first methodology uses classical time series prediction apparatus, when the prediction is based on the one signal only. The second approach uses two signals and corresponds to model predictive control methodology. Both predictors are based on artificial multilayered feed-forward neural networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Researches in Circuits and Systems
ISBN
978-1-61804-108-1
ISSN
1790-5117
e-ISSN
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Number of pages
6
Pages from-to
453-458
Publisher name
WSEAS Press (GR)
Place of publication
Kos
Event location
Kos Island
Event date
Jul 14, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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