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Genetic Algorithms in Bankruptcy Prediction by Эльмира Юлмухаметова is a document available to read on EtoBox.
What is Genetic Algorithms in Bankruptcy Prediction about?
The document discusses applying genetic algorithms to bankruptcy prediction modeling as an alternative to traditional statistical methods and neural networks. Specifically, it proposes using genetic algorithms to extract understandable rules for predicting corporate bankruptcy. Preliminary results showed the rule extraction approach using genetic algorithms showed promise for bankruptcy prediction modeling by generating rules that are easy for users to understand, unlike neural networks which are often seen
- Author
- Эльмира Юлмухаметова
- Language
- EN