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Municipal Creditworthiness Modelling by Kohonen’s Self-Organizing Feature Maps and Fuzzy Logic Neural Networks

  • Petr Hajek
  • Vladimir Olej
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5163)

Abstract

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 self-organizing 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. It is a feed-forward fuzzy logic neural network with three layers. Standard neurons are replaced by fuzzy neurons in the fuzzy logic neural network.

Keywords

Municipal creditworthiness Kohonen’s self-organizing feature maps fuzzy logic neural networks classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Petr Hajek
    • 1
  • Vladimir Olej
    • 1
  1. 1.Institute of System Engineering and Informatics Faculty of Economics and AdministrationUniversity of PardubicePardubiceCzech Republic

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