This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n14http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n17http://purl.org/net/nknouf/ns/bibtex#
n9http://localhost/temp/predkladatel/
n8http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n6http://linked.opendata.cz/resource/domain/vavai/projekt/
n7http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216275%3A25410%2F09%3A00009338%21RIV10-GA0-25410___/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n12http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F09%3A00009338%21RIV10-GA0-25410___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The paper presents concept of vector parameters characterizing creditworthiness of municipalities and its modelling possibilities. Based on designed model and structures of radial basic functions neural networks, the modelling is realized with the aim to classify municipalities into classes. Further, the article includes sensitivity analysis of individual parameter vector components. Sensitivity analysis represents exploring contributions of individual vector components to classification quality. The paper presents concept of vector parameters characterizing creditworthiness of municipalities and its modelling possibilities. Based on designed model and structures of radial basic functions neural networks, the modelling is realized with the aim to classify municipalities into classes. Further, the article includes sensitivity analysis of individual parameter vector components. Sensitivity analysis represents exploring contributions of individual vector components to classification quality.
dcterms:title
Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters
skos:prefLabel
Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters
skos:notation
RIV/00216275:25410/09:00009338!RIV10-GA0-25410___
n3:aktivita
n18:P
n3:aktivity
P(GA402/08/0849), P(GP402/09/P090)
n3:dodaniDat
n12:2010
n3:domaciTvurceVysledku
n8:7141319 n8:9558020
n3:druhVysledku
n16:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
328066
n3:idVysledku
RIV/00216275:25410/09:00009338
n3:jazykVysledku
n10:eng
n3:klicovaSlova
Municipal creditworthiness; radial basis functions neural network; classifiation; multinomial regression; sensitive analysis
n3:klicoveSlovo
n5:classifiation n5:Municipal%20creditworthiness n5:radial%20basis%20functions%20neural%20network n5:multinomial%20regression n5:sensitive%20analysis
n3:kontrolniKodProRIV
[25EC42EE53D3]
n3:mistoKonaniAkce
Limassol, Cyprus
n3:mistoVydani
Heidelberg
n3:nazevZdroje
Lecture Notes in Computer Science
n3:obor
n19:AE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n6:GA402%2F08%2F0849 n6:GP402%2F09%2FP090
n3:rokUplatneniVysledku
n12:2009
n3:tvurceVysledku
Olej, Vladimír Hájek, Petr
n3:typAkce
n14:WRD
n3:zahajeniAkce
2009-09-17+02:00
s:issn
0302-9743
s:numberOfPages
10
n17:hasPublisher
Springer-Verlag
n9:organizacniJednotka
25410