3CHEN W, CHAO Q, MA L. Mining the customer credit using hy- brid support vector machine technique [ J]. Expert Systems with Ap- plication, 2009, 56(4): 7611-7616.
4KHASHMAN A. Neural networks for credit risk evaluation: investi- gation of different neural models and learning schemes [ J]. Expert Systems with Application, 2010, 37(9): 6233-6239.
5PUROHIT S U, MAHADEVAN V, KULKARNI A N. Credit evalu- ation model of loan proposals for Indian banks [ J ]. International Journal of Modeling and Optimization, 2012, 2(4) : 529 -534.
6LEE M C. Enterprise credit risk evaluation models: a review of cur- rent research trends [ J]. International Journal of Computer Applica- tions, 2012, 44(11): 37-44.
7ZHOU L, LAI K, YU L. Least squares support vector machines ensemble models for credit scoring [ J]. Expert Systems with Appli- cations, 2010, 37(1) : 127 - 133.
8CHO S B, KIM J H. Combining multiple neural networks by fuzzyintegral for robust classification [ J]. IEEE Transactions on Systems Man and Cybernetics, 1995, 25(2): 380-384.
9CHO S B, KIM J H. Multiple network fusion using fuzzy logic [ J]. IEEE Transactions on Neural Networks, 1995, 6(2): 497 -501.
