Data mining methods linked to artificial intelligence applicable to credit risk

Authors: Jimbo Santana, Patricia; Villa Monte, Augusto; Lanzarini, Laura; Fernández Bariviera, Aurelio

Format: Article

Status: publishedVersion

Description

Publication Year: 2017

Language: spa

Topic: riesgo crediticio
reglas de clasificación
redes neuronales competitivas
optimización mediante cúmulos de partículas
credit risk
classification rules
competitive neural networks
optimization by clusters of particles

Repository: Revista FIGEMPA: Investigación y Desarrollo

Get full text: https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/61

Rights: openAccess

License: https://creativecommons.org/licenses/by/4.0/