客户风险预警

客户风险预警客户风险预警
  1. 在预警方法上通过对传统统计预警模型和人工智能预警模型的对比,结合现状,引入BP人工神经网络技术,建立了基于BP人工神经网络技术的外贸企业客户信用风险预警模型。

    In the methods of early warning , the author contrast between the traditional counting early warning model and the artificial intelligence and combine the actuality , he introduced BP artificial nerve network techniques , building early warning of foreign trade enterprise client credit risk .

  2. 商业客户资信风险预警与预控研究

    Research on Early Warning and Control of the Credit Standing Risks of Commercial Clients

  3. 本文阐明了研究商业客户资信风险预警与预控的现实意义,在对国内外相关研究现状进行分析的基础上,明确了课题探讨的对象、内容与方法。

    In this article , the realistic significance of early warning and control of credit standing risks of commercial clients is clarified , and the research objects , contents and methods are defined on the bases of the analyses of the overseas and home research actualities .

  4. 着重论述了商业客户资信风险预警管理的内容,尤其是商业客户资信风险的征兆识别,提出了商业客户资信风险预警与预控的对策。

    The contents of the early warning management for credit standing risks of commercial clients are emphasized , especially the identification of the signs of the risk , and the counter-measures of early warning and control of credit standing risks of commercial clients are put forward .