Municipal Creditworthiness Modelling by Kohonen?s Self-organizing Feature Maps and Fuzzy Logic Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F08%3A00007277" target="_blank" >RIV/00216275:25410/08:00007277 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Municipal Creditworthiness Modelling by Kohonen?s Self-organizing Feature Maps and Fuzzy Logic Neural Networks
Original language description
The paper presents the design of municipal creditworthiness parameters. Further, the design of model for municipal creditworthiness classification is presented. The model is composed of Kohonen?s selforganizing feature maps and fuzzy logic neural networks, where the output of Kohonen?s self-organizing feature maps represents the input of fuzzy logic neural networks.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA402%2F08%2F0849" target="_blank" >GA402/08/0849: Model of Sustainable Regional Development Management</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II
ISBN
978-3-540-87535-2
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
—
Publisher name
Springer
Place of publication
Dordrecht
Event location
—
Event date
—
Type of event by nationality
—
UT code for WoS article
—