Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F10%3A00173684" target="_blank" >RIV/68407700:21220/10:00173684 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5599677" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5599677</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/COGINF.2010.5599677" target="_blank" >10.1109/COGINF.2010.5599677</a>
Alternative languages
Result language
angličtina
Original language name
Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications
Original language description
The paper discusses the quadratic neural unit (QNU) and highlights its attractiveness for industrial applications such as for plant modeling, control, and time series prediction. Linear systems are still often preferred in control applications for theirsolvable and single solution nature and for the clarity to the most application engineers. Artificial neural networks are powerful cognitive nonlinear tools, but their nonlinear strength is naturally repaid with the local minima problem, overfitting, andhigh demands for application-correct neural architecture and optimization technique that often require skilled users. The QNU is the important midpoint between linear systems and highly nonlinear neural networks because the QNU is relatively very strongin nonlinear approximation; however, its optimization and performance have fast and convex-like nature, and its mathematical structure and the derivation of the learning rules is very comprehensible and efficient for implementation.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
ISBN
978-1-4244-8040-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
556-560
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Beijing
Event date
Jul 7, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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