Online identification using linear neural unit with guaranteed weights convergence

dc.contributor.author	Pawlik, V.
dc.contributor.author	Steinbaue, P.
dc.contributor.author	Bukovský, I.
dc.contributor.editor	Adámek, Vítězslav
dc.contributor.editor	Jonášová, Alena
dc.contributor.editor	Plánička, Stanislav
dc.contributor.editor	Zajíček, Martin
dc.date.accessioned	2022-11-23T08:31:55Z
dc.date.available	2022-11-23T08:31:55Z
dc.date.issued	2022
dc.description.sponsorship	SGS22/150/OHK2/3T/12 “Mechatronics and adaptronics 2022	cs
dc.format	4 s.	cs
dc.format.mimetype	application/pdf
dc.identifier.citation	Computational mechanics 2022: book of extended abstracts: 37th conference with international participation, p. 111-114.	en
dc.identifier.uri	http://hdl.handle.net/11025/50388
dc.language.iso	en	en
dc.publisher	Západočeská univerzita v Plzni	cs
dc.rights	© 2021 University of West Bohemia, Plzeň, Czech Republic	en
dc.rights.access	openAccess	en
dc.subject	lineární neurální jednotka	cs
dc.subject	neurální jednotka vysokého řádu	cs
dc.subject	identifikace	cs
dc.subject.translated	linear neural unit	en
dc.subject.translated	high order neural unit	en
dc.subject.translated	identification	en
dc.title	Online identification using linear neural unit with guaranteed weights convergence	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en

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