基于快速BP算法的ANN模型在财务失败预测上的应用  

The Application of ANN Model Based on Quick BP Arithmetic on the Prediction of Financial Failure

作　　者：耿克红[1] 李忠民[1] 

机构地区：[1]天津大学管理学院,天津300072

出　　处：《西北农林科技大学学报（社会科学版）》2005年第6期66-69,共4页Journal of Northwest A&F University(Social Science Edition)

基　　金：国家自然科学基金资助项目(10711001)

摘　　要：对企业财务状况的正确判断关系着企业的生存和发展,因此建立合理的财务失败预测模型是财务研究的热点。在企业财务失败预测模型中引入基于快速BP算法的人工神经网络,克服了标准BP算法的不足,比Fisher判别分析模型有着更强的预测能力。Judging the financial condition of an enterprise correctly is important for its survival and development,so it is a hotspot of financial research how to construct a reasonable model for the prediction of financial failure, In this paper, the ANN Model based on the quick BP arithmetic is applied to pre.dict the financial failure of corporation. It not only overcomes the shortcoming of standard BP arithmetic, but also has stronger predicting ability than the fisher discriminant analysis model.

关 键 词：财务失败 快速BP算法 人工神经网络模型 FISHER判别分析 

分 类 号：F406.7[经济管理—产业经济]