Title :
Research on Credit Rating Method Based on BP NN
Author_Institution :
Hubei Univ. of Econ., Wuhan
Abstract :
In the paper, a new subclass of credit rating model based on advanced BP artificial neural network (BP ANN) is introduced. Firstly, follow 6C principles (character, capacity, capital, collateral, condition, and continuity), the credit evaluation indicators are designed, and then credit rating model based on advanced BP artificial neural network (BP ANN) algorithm is proposed after selection of input dimensional of BP ANN. Finally the system architecture of credit rating decision supporting system is presented, and the two main system components have taken to demonstrated how to set up such kind of rating decision supporting system based on advanced BP ANN.
Keywords :
backpropagation; decision support systems; financial management; neural nets; BP artificial neural network; advanced BP ANN; credit evaluation indicators; credit rating decision supporting system; credit rating method; Artificial neural networks; Business; Classification tree analysis; Decision support systems; Electronic commerce; Input variables; Logistics; Neural networks; Object oriented modeling; Statistical analysis; advanced BP artificial neural network (BP ANN); credit rating; decision support system;
Conference_Titel :
Service Systems and Service Management, 2007 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
1-4244-0885-7
Electronic_ISBN :
1-4244-0885-7
DOI :
10.1109/ICSSSM.2007.4280185