About: Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
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. (en)
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 (en)
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 (en)
skos:notation
  • RIV/00216275:25410/09:00009338!RIV10-GA0-25410___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/08/0849), P(GP402/09/P090)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 328066
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25410/09:00009338
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Municipal creditworthiness; radial basis functions neural network; classifiation; multinomial regression; sensitive analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [25EC42EE53D3]
http://linked.open...v/mistoKonaniAkce
  • Limassol, Cyprus
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hájek, Petr
  • Olej, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
http://localhost/t...ganizacniJednotka
  • 25410
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 41 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software