Influence of the Number of the Features with the Neural Network Function

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dc.contributor.authorTuckova, J.
dc.contributor.authorBores, P.
dc.coverage.issue1cs
dc.coverage.volume5cs
dc.date.accessioned2016-05-06T10:22:48Z
dc.date.available2016-05-06T10:22:48Z
dc.date.issued1996-04cs
dc.description.abstractThis contribution is devoted to the evaluation of probability of success for classification and recognition techniques. It also depends on a proper selection of input elements-features and their number. Error probability is proportional indirectly on a quantity and quality of information provided to a classifier. It can be affected either by a learning algorithm itself and classification or by an element number on classification correctuers has been verified for Kohonen's map designed for a recognition of Czech digits.en
dc.formattextcs
dc.format.extent15-18cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1996, vol. 5, č. 1, s. 15-18. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58404
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1996/96_01_04.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectspeech recognitionen
dc.subjectneural networken
dc.subjectclassificationen
dc.titleInfluence of the Number of the Features with the Neural Network Functionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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