@inproceedings{725952a1c89445ffa3e8be81509c226c,
title = "Fuzzy neural network model for assessing credit risk in commercial banks",
abstract = "An adaptive fuzzy neural network has been developed to extract fuzzy rules directly from data sample for credit risks assessment. As an application example, a model has been constructed to assess the credit risks in commercial banks by using adaptive neuro-fuzzy inference method. Numerical example indicates fuzzy neural network could fit to assess the credit risk in commercial banks. Furthermore, the results also indicate that the prediction based on fuzzy neural network model is accurate.",
keywords = "Credit risk, Fuzzy neural network, Least-squares estimation",
author = "Yonglin Yang and Yanping Liu and Fangcheng Tang and Yang Liu",
year = "2011",
doi = "10.1109/ICBMEI.2011.5917027",
language = "英语",
isbn = "9781612841069",
series = "BMEI 2011 - Proceedings 2011 International Conference on Business Management and Electronic Information",
pages = "678--681",
booktitle = "BMEI 2011 - Proceedings 2011 International Conference on Business Management and Electronic Information",
note = "2011 International Conference on Business Management and Electronic Information, BMEI 2011 ; Conference date: 13-05-2011 Through 15-05-2011",
}