Neural Networks for Analysis of Financial Statements

Kimmo Kiviluoto, Pentti Bergius and Jyrki Maaranen
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Kimmo Kiviluoto: Laboratory of Computer and Information Science, Helsinki University of Technology, P.O.Box 5400, FIN-02015 HUT, Finland
Pentti Bergius: Finnvera Ltd., P.O. Box 1010, FIN-00101 Helsinki, Finland
Jyrki Maaranen: Finnvera Ltd., P.O. Box 1010, FIN-00101 Helsinki, Finland

Chapter 5 in Business Applications of Neural Networks:The State-of-the-Art of Real-World Applications, 2000, pp 73-84 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionMapping the financial statements onto a Self-Organizing MapThe Self-Organizing Map – short introductionData preparationTraining the map and viewing the resultsDo not oversimplify: 3D SOM's are sometimes better than 2DTrajectories reveal the dynamicsWhy visualize, and why use SOM's?References

Keywords: Artificial Neural Networks; Rule Extraction; Segmentation; Credit Card Fraud; Customer Profiling; Bankruptcy Prediction; Risk Assessment; Money Laundering (search for similar items in EconPapers)
Date: 2000
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