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Modeling logic and neural approaches to bankruptcy prediction
- Source :
- 2010 World Automation Congress | 2010 World Automation Congress | 19/09/2010-23/09/2010 | Kobe, Japan, Archivo Digital UPM, Universidad Politécnica de Madrid
- Publication Year :
- 2010
- Publisher :
- E.T.S.I. Telecomunicación (UPM), 2010.
-
Abstract
- The guiding principle of process automation and soft computing is to achieve more robust, traceable and low cost solutions which incorporate the required intelligence to information technologies, thus enabling human centered functionalities. The application of Artificial Intelligence (IA) and Neural systems to the financial and banking industries has performed well in the areas of Risk Management improvement and Bankruptcy prediction. This paper contributes to analyze the synergies between logic and neural based approaches as the basis to enhance bankruptcy prediction models development.
- Subjects :
- Telecomunicaciones
Medio Ambiente
Robótica e Informática Industrial
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2010 World Automation Congress | 2010 World Automation Congress | 19/09/2010-23/09/2010 | Kobe, Japan, Archivo Digital UPM, Universidad Politécnica de Madrid
- Accession number :
- edsair.dedup.wf.001..54391e70afb453ffb392fce5e3b3c2fa