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基于径向基神经网络的商业银行风险预警系统研究
引用本文:张美恋,王秀珍. 基于径向基神经网络的商业银行风险预警系统研究[J]. 集美大学学报(自然科学版), 2005, 10(3): 280-284
作者姓名:张美恋  王秀珍
作者单位:集美大学理学院,福建,厦门,361021;集美大学财经学院,福建,厦门,361021
基金项目:集美大学科研基金资助项目(C50236)
摘    要:探讨了径向基神经网络(RBF)在商业银行风险预警系统中的应用.根据商业银行风险预警系统的特点选择12个指标,构建了风险预警系统的RBF模型,基于该模型进行了示范性仿真实验,结果验证了该方法的有效性.

关 键 词:银行风险  预警  径向基神经网络
文章编号:1007-7405(2005)03-0280-05
收稿时间:2004-09-01
修稿时间:2004-09-01

Study on Commercial Bank Risk Early Warning System Based on RBF Neural Network
ZHANG Mei-lian,WANG Xiu-zhen. Study on Commercial Bank Risk Early Warning System Based on RBF Neural Network[J]. the Editorial Board of Jimei University(Natural Science), 2005, 10(3): 280-284
Authors:ZHANG Mei-lian  WANG Xiu-zhen
Abstract:The application of the RBF neural network to the commercial bank early warning system was studied. According to the characteristics of commercial bank early warning system, 12 indexes of performance were elected, and then the RBF model was constructed. The effectiveness of the proposed approach was proved by the experiment results.
Keywords:bank risk   early warning   RBF neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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