摘要
针对目前企业财务危机预警模型存在的问题,提出一种基于神经网络的企业财务危机预警方法,重点阐述了前向三层BP网络企业财务危机预警系统的构建,并选取了30家上市公司作为样本,进行了网络训练和测试,结果表明所设计的预警模式是有效的.
As to the problem existed in the corporate financial distress early-warning models, this article presents a new warning method based on ANN, and emphatically formulates the establishment of the corporate financial distress early-warning system based on three-layer BP NN. And then we select 30 corporations as samples to train and test the network. The result indicates that the warning pattern is very effective.
出处
《广州大学学报(自然科学版)》
CAS
2004年第3期219-222,共4页
Journal of Guangzhou University:Natural Science Edition
关键词
人工神经网络
BP算法
企业财务危机
预警系统
Artificial Neural Networks(ANN)
BP neural network
corporate financial distress
early-warning system