Modelování bonity obcí pomocí Kohonenových samoorganizujících se map a LVQ neuronových sítí

dc.contributor.author	Olej, Vladimír
dc.contributor.author	Hájek, Petr
dc.date.accessioned	2010-04-08T07:33:36Z
dc.date.available	2010-04-08T07:33:36Z
dc.date.issued	2007
dc.identifier	Univerzitní knihovna (studovna)	cze
dc.identifier.issn	1211-555X
dc.identifier.uri	http://hdl.handle.net/10195/35591
dc.description.abstract	The paper presents the design of municipal creditworthiness parameters. Further, a model is designed based on LVQ neural networks for municipal creditworthiness classification. The model is composed of Kohonen’s self-organizing feature maps (unsupervised learning) whose outputs represent the input of the LVQ neural networks (supervised learning).	eng
dc.format	p. 135-142	eng
dc.language.iso	cze
dc.publisher	Univerzita Pardubice	cze
dc.relation.ispartof	Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 12 (2007)	eng
dc.rights	Bez omezení	cze
dc.subject	municipal creditworthiness parameter	eng
dc.subject	Kohonen’s self-organizing feature maps	eng
dc.subject	LVQ neural networks	eng
dc.subject	Classification	eng
dc.title	Modelování bonity obcí pomocí Kohonenových samoorganizujících se map a LVQ neuronových sítí	cze
dc.type	Article	eng
dc.identifier.signature	47940-12
dc.peerreviewed	yes	eng
dc.publicationstatus	published	eng