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dc.contributor.authorParanchuk, Roman
dc.contributor.authorParanchuk, Yaroslav
dc.date.accessioned2014-07-29T11:50:22Z-
dc.date.available2014-07-29T11:50:22Z-
dc.date.issued2013
dc.identifier.citationCPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 4th – 6th September 2013 Roztoky u Křivoklátu, Czech Republic, p. VI-11.en
dc.identifier.isbn978-80-261-0247-2
dc.identifier.urihttp://hdl.handle.net/11025/11615
dc.description.abstractThe method of continuous control of arc furnace short circuit elements parameters based on neural network is proposed. The block diagram has been developed and the synthesis of parameter identification neural network system has been developed. The mathematical and digital models have been developed and the accuracy of identification has been studied. The obtained results of model studies showed high accuracy of neural network identification of furnace short circuit parameters.en
dc.format1 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesCPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.subjectobloukové pececs
dc.subjectkrátké obvodycs
dc.subjectneuronové sítěcs
dc.subjectřídící systémycs
dc.subjectmatematické modelovánícs
dc.titleNeural Network Based Steel Melting Furnace Short Circuit Parameters Identificationen
dc.typečlánekcs
dc.typekonferenční příspěvekcs
dc.typearticleen
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedarc steel furnacesen
dc.subject.translatedshort circuitsen
dc.subject.translatedneural networksen
dc.subject.translatedcontrol systemsen
dc.subject.translatedmathematical modellingen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:CPEE – AMTEE 2013
CPEE – AMTEE 2013

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