TY - GEN
T1 - Hybrid neural network based on GA-BP for personal credit scoring
AU - Shulin, Wang
AU - Shuang, Yin
AU - Minghui, Jiang
PY - 2008
Y1 - 2008
N2 - Aiming at the insufficiencies of BP neural network, this paper established a hybrid neural network based on the combination of GA and BP algorithms. The hybrid algorithm made fully use of GA's global searching to improve the learning ability of neural network with the combination of BP. The model was used in personal credit scoring in commercial banks. Compared with single BP neural network, the training results of hybrid neural network indicate that the hybrid algorithm can improve the learning ability of neural network to achieve the training goal. The classification accuracy of hybrid neural network on testing samples is higher than that of single BP neural network.
AB - Aiming at the insufficiencies of BP neural network, this paper established a hybrid neural network based on the combination of GA and BP algorithms. The hybrid algorithm made fully use of GA's global searching to improve the learning ability of neural network with the combination of BP. The model was used in personal credit scoring in commercial banks. Compared with single BP neural network, the training results of hybrid neural network indicate that the hybrid algorithm can improve the learning ability of neural network to achieve the training goal. The classification accuracy of hybrid neural network on testing samples is higher than that of single BP neural network.
UR - https://www.scopus.com/pages/publications/57649132175
U2 - 10.1109/ICNC.2008.681
DO - 10.1109/ICNC.2008.681
M3 - 会议稿件
AN - SCOPUS:57649132175
SN - 9780769533049
T3 - Proceedings - 4th International Conference on Natural Computation, ICNC 2008
SP - 209
EP - 214
BT - Proceedings - 4th International Conference on Natural Computation, ICNC 2008
T2 - 4th International Conference on Natural Computation, ICNC 2008
Y2 - 18 October 2008 through 20 October 2008
ER -