Potentials of Quadratic Neural Unit for Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F11%3A00185582" target="_blank" >RIV/68407700:21220/11:00185582 - isvavai.cz</a>
Result on the web
<a href="http://www.igi-global.com/article/potentials-quadratic-neural-unit-applications/60745" target="_blank" >http://www.igi-global.com/article/potentials-quadratic-neural-unit-applications/60745</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/IJSSCI.2011070101" target="_blank" >10.4018/IJSSCI.2011070101</a>
Alternative languages
Result language
angličtina
Original language name
Potentials of Quadratic Neural Unit for Applications
Original language description
The paper discusses the quadratic neural unit (QNU) and its attractiveness for industrial applications such as for plant modeling, control, and time series prediction. Linear systems are still often preferred in industrial 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
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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Result continuities
Project
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Continuities
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
Name of the periodical
International Journal of Software Science and Computational Intelligence (IJSSCI)
ISSN
1942-9045
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
1-12
UT code for WoS article
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EID of the result in the Scopus database
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