Authors: Peter Hajek (University of Pardubice, Pardubice, Czech Republic)
Book Description: This new book presents the modelling possibilities of neural networks on a complex real-world problem, i.e. credit rating process modelling. Current approaches in credit rating modelling are introduced, as well as the incorporation of previous findings on corporate and municipal credit rating modelling. Based on this analysis, the model is designed to classify US companies and municipalities into credit rating classes. The model includes data pre-processing, the selection process of input variables, and the design of various neural networks’ structures for classification.
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Table of Contents: Preface
Chapter 1. Introduction, pp. 1-3
Chapter 2. Credit Rating Modelling, pp. 5-27
Chapter 3. Neural Networks for Classification, pp. 29-36
