Abstrakt:
The paper presents the design of municipal creditworthiness parameters. Further, a
model is designed based on LVQ 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 LVQ neural networks
(supervised learning).