神经网络在商业银行金融风险评价系统建模中的应用

Application of neural networks in valuation modellingon commercial bank's financial risks

针对商业银行的金融风险,构造了一套实用的商业银行金融风险评价指标体系,并采用BP神经网络方法建立了金融风险多层次的评价模型,该模型有利于商业银行提高决策和管理水平,采取更加有效的政策措施防范和化解金融风险。

Based on actual commercial bank's financial risks, this paper constructs a set of practical index system on commercial bank's financial risks and sets up a model for the evaluation by means of BP neural networks. This paper can help commercial banks advance their ability of decision-making and managing, and can help them take more effective measures to defending and controll financial risks.