基于强分类器的企业财务预警分析研究

Research on Enterprise Financial Early Warning Analysis Based on Strong Classifier

本文首先分析了财务危机与财务预警的关系,阐述了建立企业财务预警系统的必要性,以南京中山大厦有限公司财务状况为研究样本,得出10个指标的企业财务预警体系,提出了基于BP神经网络的强分类器的模型,并在Matlab环境下进行实践,结果表明采用基于强分类器的企业财务预警模型具有分类精度高等特点,对于建立企业财务预警系统具有很强的应用价值。

This paper first analyzes the relationship between financial crisis and financial early warning,this paper expounds the necessity of establishing the financial early-warning system of enterprise,the financial situation of Nanjing Zhongshan Building Co.Ltd.as the research sample,the system of corporate financial early warning index reached 10,based on BP model by God strong classifier network,and experiment was carried out in the Matlab environment,based on the classification results show that the strong classifier of enterprise financial early warning for high precision,it has a strong application value to establish the financial early-warning system of enterprise.