Fuzzy neural network model for assessing credit risk in commercial banks

机译：商业银行信用风险评估的模糊神经网络模型

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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.

机译：已经开发了一种自适应模糊神经网络，可以直接从数据样本中提取模糊规则，以进行信用风险评估。作为一个应用实例，通过自适应神经模糊推理方法构建了商业银行信用风险评估模型。数值算例表明模糊神经网络可用于评估商业银行的信用风险。此外，结果还表明，基于模糊神经网络模型的预测是准确的。

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来源
《2011 International Conference on Business Management and Electronic Information》|2011年|p.678-681|共4页
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作者
Yonglin Yang; Yanping Liu; Fangcheng Tang; Yang Liu;
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正文语种
中图分类企业现代化管理;
关键词
Credit risk; Fuzzy neural network; Least-squares estimation;

机译：信用风险;模糊神经网络;最小二乘估计;

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Fuzzy neural network model for assessing credit risk in commercial banks

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