Learning the Neural Networks by the Set of Patterns Having the Form of Fuzzy Data

dc.contributor.author	Mikula, V.
dc.coverage.issue	2	cs
dc.coverage.volume	4	cs
dc.date.accessioned	2016-05-06T11:46:03Z
dc.date.available	2016-05-06T11:46:03Z
dc.date.issued	1995-06	cs
dc.description.abstract	This 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.format	text	cs
dc.format.extent	22-25	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Radioengineering. 1995, vol. 4, č. 2, s. 22-25. ISSN 1210-2512	cs
dc.identifier.issn	1210-2512
dc.identifier.uri	http://hdl.handle.net/11012/58456
dc.language.iso	en	cs
dc.publisher	Společnost pro radioelektronické inženýrství	cs
dc.relation.ispartof	Radioengineering	cs
dc.relation.uri	http://www.radioeng.cz/fulltexts/1995/95_02_05.pdf	cs
dc.rights	Creative Commons Attribution 3.0 Unported License	en
dc.rights.access	openAccess	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/	en
dc.subject	neural networks	en
dc.subject	training patterns	en
dc.subject	crisp data	en
dc.subject	fuzzy numbers	en
dc.subject	fuzzy logic	en
dc.subject	fuzzy IF-THEN rules	en
dc.subject	classifiers	en
dc.title	Learning the Neural Networks by the Set of Patterns Having the Form of Fuzzy Data	en
dc.type.driver	article	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en
eprints.affiliatedInstitution.faculty	Fakulta eletrotechniky a komunikačních technologií	cs

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