Artificial metaplasticity: An approximation to credit scoring modeling

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.

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