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

@article{Lee2005ATH,
  title={A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines},
  author={Tian-Shyug Lee and I-Fei Chen},
  journal={Expert Syst. Appl.},
  year={2005},
  volume={28},
  pages={743-752}
}
The objective of the proposed study is to explore the performance of credit scoring using a two-stage hybrid modeling procedure with artificial neural networks and multivariate adaptive regression splines (MARS). The rationale under the analyses is firstly to use MARS in building the credit scoring model, the obtained significant variables are then served as the input nodes of the neural networks model. To demonstrate the effectiveness and feasibility of the proposed modeling procedure, credit… CONTINUE READING
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