Feature selection for high-order neural unit based identification

dc.contributor.author	Pawlik, V.
dc.contributor.author	Steinbauer, P.
dc.contributor.author	Bukovský, I.
dc.contributor.editor	Adámek, Vítězslav
dc.contributor.editor	Jonášová, Alena
dc.contributor.editor	Plánička, Stanislav
dc.date.accessioned	2023-12-09T10:25:18Z
dc.date.available	2023-12-09T10:25:18Z
dc.date.issued	2023
dc.description.sponsorship	The work has been supported by the project SGS22/150/OHK2/3T/12 “Mechatronics and adaptronics 2022” of Czech Technical University in Prague	en
dc.format	4 s.	cs
dc.format.mimetype	application/pdf
dc.identifier.citation	Computational mechanics 2023: book of extended abstracts: 38th conference with international participation, p. 159-162.	en
dc.identifier.isbn	978-80-261-1177-1
dc.identifier.uri	http://hdl.handle.net/11025/54951
dc.language.iso	en	en
dc.publisher	University of West Bohemia	en
dc.rights	© 2023 University of West Bohemia, Plzeň, Czech Republic	en
dc.rights.access	openAccess	en
dc.subject	Boruta	cs
dc.subject	identifikace	cs
dc.subject	neuronová jednotka vysokého řádu	cs
dc.subject.translated	Boruta package	en
dc.subject.translated	identification	en
dc.subject.translated	high-order neural unit	en
dc.title	Feature selection for high-order neural unit based identification	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en

Files

Showing 1 - 2 out of 2 results

Showing 1 - 1 out of 1 results