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dc.contributor.authorMikula, V.
dc.date.accessioned2016-05-06T11:46:03Z
dc.date.available2016-05-06T11:46:03Z
dc.date.issued1995-06cs
dc.identifier.citationRadioengineering. 1995, vol. 4, č. 2, s. 22-25. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58456
dc.description.abstractThis paper deals with the possibility of learning the neural networks by the use of training patterns having the form of both the crisp numerical data as well as fuzzy numbers.en
dc.formattextcs
dc.format.extent22-25cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1995/95_02_05.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectneural networksen
dc.subjecttraining patternsen
dc.subjectcrisp dataen
dc.subjectfuzzy numbersen
dc.subjectfuzzy logicen
dc.subjectfuzzy IF-THEN rulesen
dc.subjectclassifiersen
dc.titleLearning the Neural Networks by the Set of Patterns Having the Form of Fuzzy Dataen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume4cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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