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A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines

✍ Scribed by Tian-Shyug Lee; I-Fei Chen


Book ID
108127670
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
163 KB
Volume
28
Category
Article
ISSN
0957-4174

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Artificial neural networks (ANNs) have been found to be useful for sales/demand forecasting. However, one of the main shortcomings of ANNs is their inability to identify important forecasting variables. This study uses multivariate adaptive regression splines (MARS), a nonlinear and non-parametric r