Modelování bonity obcí pomocí Kohonenových samoorganizujících se map a LVQ neuronových sítí

Abstract

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).