Municipal Creditworthiness Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks

Authors:
Petr Hájek;Vladimír Olej
Affiliations:
Institute of System Engineering and Informatics Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic 532 10;Institute of System Engineering and Informatics Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic 532 10
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

The paper presents the design of municipal creditworthiness parameters. Further, a model is designed based on Learning Vector Quantization neural networks for municipal creditworthiness classification. The model is composed of Kohonen's Self-organizing Feature Maps (unsupervised learning) whose outputs represent the input of the Learning Vector Quantization neural networks (supervised learning).