About: Signal Source Location by Means of Neural Network

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This work deals with pertinent application of signal source location method by means of neural network. As a source an acoustic emission signal was used. Among the most important parameters participating in the final results was the correct measurement method and signal processing choice. For the source signal location the back propagation-type neural network was used. Thanks to this network‘s ability to ‚learn‘ and adapt to ambient conditions, represented by jamming signals, it was possible to takke these into account. The problem dealt with was the choice of suitable signal parameters of all the parameters obtained by measurement. These parameters then represented the neural network inputs and influenced its results. Therefore, it was necessary to make several experimental measurements. As the final ones were selected those, with which the neural network results gave the most accurate values. The accuracy evaluation was done by comparing the neural network outputs with required values of coor This work deals with pertinent application of signal source location method by means of neural network. As a source an acoustic emission signal was used. Among the most important parameters participating in the final results was the correct measurement method and signal processing choice. For the source signal location the back propagation-type neural network was used. Thanks to this network‘s ability to ‚learn‘ and adapt to ambient conditions, represented by jamming signals, it was possible to takke these into account. The problem dealt with was the choice of suitable signal parameters of all the parameters obtained by measurement. These parameters then represented the neural network inputs and influenced its results. Therefore, it was necessary to make several experimental measurements. As the final ones were selected those, with which the neural network results gave the most accurate values. The accuracy evaluation was done by comparing the neural network outputs with required values of coor (en)
Title	Signal Source Location by Means of Neural Network Signal Source Location by Means of Neural Network (en)
skos:prefLabel	Signal Source Location by Means of Neural Network Signal Source Location by Means of Neural Network (en)
skos:notation	RIV/00216305:26220/02:PU30568!RIV/2003/MSM/262203/N
http://linked.open.../vavai/riv/strany	99-105
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM 260000013), Z(MSM 262200022)
http://linked.open...vai/riv/dodaniDat	2003
http://linked.open...aciTvurceVysledku	Černý, Luděk Jirsík, Václav
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	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	663486
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/02:PU30568
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	acoustic emission, neural network, location (en)
http://linked.open.../riv/klicoveSlovo	acoustic emission neural network location
http://linked.open...ontrolniKodProRIV	[21D5DBBF1AD8]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	25th European Conference on Acoustic Emission Testing
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...UplatneniVysledku	2002
http://linked.open...iv/tvurceVysledku	Jirsík, Václav Černý, Luděk
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2002-09-11 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20260000013 http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20262200022
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	EWGAE
https://schema.org/isbn	80-214-2174-6
http://localhost/t...ganizacniJednotka	26220

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