Modeling credit approval data with neural networks: an experimental investigation and optimization

This study proposes an investigation and optimization of Multi-Layer Perceptron (MLP) based artificial neural networks (ANN) credit prediction model, combine with the effect of different ratios of training to testing instances over five real-world credit databases. As an outcome from the alteration...

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Detalhes bibliográficos

Principais autores:	Chi Guotai, Mohammad Zoynul Abedin, Fahmida E–moula
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Vilnius Gediminas Technical University 2017-04-01
coleção:	Journal of Business Economics and Management
Assuntos:	credit prediction neural networks Multi-Layer Perceptron hidden neurons alteration experiments investigation and optimization
Acesso em linha:	https://journals.vgtu.lt/index.php/JBEM/article/view/1181
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