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Credit Rating Modelling by Neural Networks
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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

Chapter 4. Data sets, pp. 37-45

Chapter 5 Experimental Results, pp. 47-58

Chapter 6. Conclusion, pp. 59-60

Acknowledgments pp.61-62

References pp.63-70

Index pp.71-76

   Series:
      Financial Institutions and Services
   Binding: Softcover
   Pub. Date: 2011
   Pages: pp.76
   ISBN: 978-1-61668-679-6
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Credit Rating Modelling by Neural Networks