About: Artificial Neural Network as Universal Approximation of Nonlinear Relations

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The layered neural networks are still considered as very general tools for approximation and they became popular especially for their simple implementation. The practical usage is, however, nontrivial in the choice of an appropriate architecture. The presented contribution is concerned with the development of a simple neural network with the selfadaptive architecture, which can enable easier neural network applications in engineering problems. Its approximation abilities are tested on several mathematical problems and two different modes of material parameters' identification problem. In the first one, the neural network is used to approximate the numerical model predicting the response for a given set of material parameters and loading. The second mode employs the neural network for constructing an inverse model, where material parameters are directly predicted for a given (measured) response. The layered neural networks are still considered as very general tools for approximation and they became popular especially for their simple implementation. The practical usage is, however, nontrivial in the choice of an appropriate architecture. The presented contribution is concerned with the development of a simple neural network with the selfadaptive architecture, which can enable easier neural network applications in engineering problems. Its approximation abilities are tested on several mathematical problems and two different modes of material parameters' identification problem. In the first one, the neural network is used to approximate the numerical model predicting the response for a given set of material parameters and loading. The second mode employs the neural network for constructing an inverse model, where material parameters are directly predicted for a given (measured) response. (en)
Title	Artificial Neural Network as Universal Approximation of Nonlinear Relations Artificial Neural Network as Universal Approximation of Nonlinear Relations (en)
skos:prefLabel	Artificial Neural Network as Universal Approximation of Nonlinear Relations Artificial Neural Network as Universal Approximation of Nonlinear Relations (en)
skos:notation	RIV/68407700:21110/10:00169598!RIV11-MSM-21110___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(FT-TA4/100), Z(MSM6840770003)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Mareš, Tomáš Kučerová, Anna
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 stavební
http://linked.open...dnocenehoVysledku	247789
http://linked.open...ai/riv/idVysledku	RIV/68407700:21110/10:00169598
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	artificial neural network; multi-layer perceptron; approximation; nonlinear relations; back-propagation; parameter identification (en)
http://linked.open.../riv/klicoveSlovo	parameter identification approximation artificial neural network multi-layer perceptron nonlinear relations back-propagation
http://linked.open...ontrolniKodProRIV	[7874C5052DE0]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	Proceedings of International Conference on Modelling and Simulation 2010 in Prague
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Optimization as a tool of sustainability and competitiveness of Czech construction industry.
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Kučerová, Anna Mareš, Tomáš
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2010-06-22 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Rozvoj algoritmů počítačových simulací a jejich aplikace v inženýrství
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	České vysoké učení technické v Praze
https://schema.org/isbn	978-80-01-04574-9
http://localhost/t...ganizacniJednotka	21110
is http://linked.open...avai/riv/vysledek of	Artificial Neural Network as Universal Approximation of Nonlinear Relations Artificial Neural Network as Universal Approximation of Nonlinear Relations Artificial Neural Network as Universal Approximation of Nonlinear Relations

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