| 基于Hopfield网络的商业银行信用风险评价系统 |
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| 引用本文： | 方先明,唐德善. 基于Hopfield网络的商业银行信用风险评价系统[J]. 重庆理工大学学报(自然科学版), 2003, 17(6): 86-88 |
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| 作者姓名： | 方先明 唐德善 |
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| 作者单位： | 河海大学经济学院，南京工程学院 江苏南京 210098南京工程学院江苏南京 210013，江苏南京 210013 |
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| 摘 要： | 商业银行的信用风险包括流动性风险、投资风险及信贷风险.在对信用风险深入分析的基础上,通过Hopfield神经网络模型的设计,可将典型的风险模式贮存于网络中.根据初始的输入模式,利用其联想功能,能够对商业银行信用风险进行客观的评价,结果简单明了.
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| 关 键 词： | Hopfield网络 信用风险 评价 |
| 文章编号： | 1671-0924(2003)06-0086-03 |
| 修稿时间： | 2003-02-22 |
Hopfield Network-based System Evaluating Credit Risks in Commercial Banks |
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| FANG Xian-ming. Hopfield Network-based System Evaluating Credit Risks in Commercial Banks[J]. Journal of Chongqing University of Technology(Natural Science), 2003, 17(6): 86-88 |
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| Authors: | FANG Xian-ming |
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| Affiliation: | FANG Xian-ming~ |
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| Abstract: | Credit risks of commercial banks include floating risk, investment risk and loan risk. On the basis of deep analysis on credit risks, By designing Hopfield neural network model, it is possible to store typical risk models in network. Based on the initial input model and by means of its association function, the credit risk of commercial banks can be objectively evaluated with explicit results. |
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| Keywords: | Hopfield network credit risk evaluation |
| 本文献已被 CNKI 维普 等数据库收录！ |
