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Credit scoring model based on neural network

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3 Author(s)
Su-Lin Pang ; Sch. of Math., Zhongshan Univ., Guangzhou, China ; Yan-Ming Wang ; Yuan-Huai Bai

The research develops a neural network credit-scoring model by using the principle of multilayer perceptron. 106 selected listed companies are divided into two groups: "good" ones and "bad" ones. All the data come from China. The simulation results show that the neural network credit-scoring model has a high rate of classification accuracy and strong suitability. We construct the structure of the neural network credit scoring and present its learning algorithm.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:4 )

Date of Conference:

4-5 Nov. 2002