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

Authors:
Vladimir Olej;Petr Hajek
Affiliations:
Institute of System Engineering and Informatics Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic 53210;Institute of System Engineering and Informatics Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic 53210
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Year:
2009

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Abstract

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 to classify 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.