NONLINEAR MODELING OF LABORATORY MODEL AMIRA DR300 BY FEEDFORWARD NEURAL NETWORK
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866544" target="_blank" >RIV/70883521:28140/11:43866544 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28610/11:43866544
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
NONLINEAR MODELING OF LABORATORY MODEL AMIRA DR300 BY FEEDFORWARD NEURAL NETWORK
Original language description
Purpose of this paper is to design a nonlinear feedforward neural network model of a laboratory model AMIRA DR300 (made by AMIRA, Duisburg, Germany). This device consists of two direct-current engines, whose shafts are connected together by a fixed shaftcoupling. An output value of the laboratory model is a rotation speed of this shaft coupling and it can be measured either by a tachometer generator, or an incremental position sensor. The first engine was modeling by neural network. The second one is used to apply as a generator of a faulty measured value.
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
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDEL 2011 17th International Conference on Soft Computing
ISBN
978-80-214-4302-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
191-198
Publisher name
VUT Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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