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. © Springer-Verlag Berlin Heidelberg 2008.
CITATION STYLE
Hajek, P., & Olej, V. (2008). Municipal creditworthiness modelling by Kohonen’s self-organizing feature maps and fuzzy logic neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5163 LNCS, pp. 533–542). https://doi.org/10.1007/978-3-540-87536-9_55
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