【24h】

Fuzzy Adaptive Network in Financial Credit Rating

机译:金融信用评价中的模糊自适应网络

获取原文
获取原文并翻译 | 示例

摘要

Credit management is a basic problem for any financial institution. However, the uncertainty and vagueness inherent in the dynamics of the system due to the involvement of human behavior make the usual approach by using the rigorous mathematical models inappropriate. This paper presents a neuro-fuzzy soft computing approach to deal with this vague and generally not well-defined credit rating problem. The approach integrates the concept of fuzzy aggregation and fuzzy adaptive network to form a combined estimation and neural learning model. A numerical example is used to illustrate the approach.
机译:信用管理是任何金融机构的基本问题。但是,由于人类行为的参与,系统动力学固有的不确定性和模糊性使使用严格的数学模型的常规方法变得不合适。本文提出了一种神经模糊的软计算方法来解决这个模糊且通常没有明确定义的信用评级问题。该方法整合了模糊聚合和模糊自适应网络的概念,以形成组合的估计和神经学习模型。数值示例说明了该方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号