Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps andFuzzy Logic Neural Networks

摘要

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.