Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications

Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi. Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications. International Journal of Computational Intelligence and Applications, 14(4), 2015. [doi]

References

No references recorded for this publication.

Cited by

No citations of this publication recorded.