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

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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Bibliographic Details
Main Authors: Chi Guotai, Mohammad Zoynul Abedin, Fahmida E–moula
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2017-04-01
Series:Journal of Business Economics and Management
Subjects:
credit prediction
neural networks
Multi-Layer Perceptron
hidden neurons
alteration experiments
investigation and optimization
Online Access:https://journals.vgtu.lt/index.php/JBEM/article/view/1181

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