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Methods of Artificial Intelligence for Prediction and Prevention Crisis Situations in Banking Systems
Abstract
In this paper, a support vector machine has been studied due to prediction of bank crisis. To prevent outcomes of crisis situations, artificial neural networks have been characterized as applied to stock market investments, as well as to test the credibility of the bank's customers. Finally, some numerical experiments have been presented.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Advances in Neural Networks, Fuzzy Systems and Artificial Intelligence strony 180 - 185
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Balicki J., Przybyłek P., Zadroga M., Zakidalski M.: Methods of Artificial Intelligence for Prediction and Prevention Crisis Situations in Banking Systems// Advances in Neural Networks, Fuzzy Systems and Artificial Intelligence/ ed. Jerzy Balicki Athens: WSEAS Press, 2014, s.180-185
- Verified by:
- Gdańsk University of Technology
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