Title :
Artificial metaplasticity: An approximation to credit scoring modeling
Author :
Marin-de-la-Barcena, Amparo ; Marcano-Cedeño, Alexis ; Jimenez-Trillo, Juan ; Piñuela, Juan A. ; Andina, Diego
Author_Institution :
Group for Autom. in Signals & Commun., Tech. Univ. of Madrid, Madrid, Spain
Abstract :
Risk Management improvement and credit risk evaluation are turning core areas of concern within the financial and banking industries. Specifically credit scoring, as one of the key analytical techniques in credit risk evaluation is envisioned as an arena in which the application of Artificial Intelligence (IA) and Neural systems has high potential for development. This paper contributes by presenting a novel Neural based approach to enhance credit scoring modeling inspired by the biological metaplasticity property of neurons.
Keywords :
artificial intelligence; finance; neural nets; risk management; artificial intelligence; artificial metaplasticity; credit risk evaluation; credit scoring modeling; neural systems; risk management; Artificial intelligence; Artificial neural networks; Biological system modeling; Neurons; Risk management; Training;
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2010.5675097
