About: Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications

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About: Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5599677
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 their solvable 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, and high 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 strong in 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. 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 their solvable 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, and high 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 strong in 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. (en)
Title	Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications (en)
skos:prefLabel	Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications (en)
skos:notation	RIV/68407700:21220/10:00173684!RIV14-MSM-21220___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Smetana, Ladislav Vrána, Stanislav Bukovský, Ivo Mironovová, Martina
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta strojní
http://linked.open...dnocenehoVysledku	283567
http://linked.open...ai/riv/idVysledku	RIV/68407700:21220/10:00173684
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	cognitive systems; industrial control; nonlinear control systems; neurocontrollers; quadratic neural unit (en)
http://linked.open.../riv/klicoveSlovo	industrial control cognitive systems neurocontrollers nonlinear control systems quadratic neural unit
http://linked.open...ontrolniKodProRIV	[F85977E48EE4]
http://linked.open...v/mistoKonaniAkce	Beijing
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Vrána, Stanislav Bukovský, Ivo Homma, N. Rodriguez, Ricardo Mironovová, Martina Smetana, Ladislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-07-07 (xsd:date)
number of pages	5 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/COGINF.2010.5599677
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society Press
https://schema.org/isbn	978-1-4244-8040-1
http://localhost/t...ganizacniJednotka	21220

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