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Neural Networks for Analysis of Financial Statements

In: Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications

Author

Listed:
  • 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)

Abstract

The 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

Suggested Citation

  • Kimmo Kiviluoto & Pentti Bergius & Jyrki Maaranen, 2000. "Neural Networks for Analysis of Financial Statements," World Scientific Book Chapters, in: Business Applications Of Neural Networks The State-of-the-Art of Real-World Applications, chapter 5, pages 73-84, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812813312_0005
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