Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F09%3A00009338" target="_blank" >RIV/00216275:25410/09:00009338 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters

Original language 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 toclassify 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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

AE - Management, administration and clerical work

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Lecture Notes in Computer Science

ISBN

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ISSN

0302-9743

e-ISSN

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Number of pages

10

Pages from-to

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Publisher name

Springer Verlag

Place of publication

Heidelberg

Event location

Limassol, Cyprus

Event date

Sep 17, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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