%0 Journal Article
%T The Establishment of Rough-ANN Model for Pre-warning of Enterprise Financial Crisis and Its Application<br>企业财务危机预警Rough-ANN模型的建立及其应用
%A LI Xiao-feng
%A XU Jiu-ping
%A <br>李晓峰
%A 徐玖平
%J 系统工程理论与实践
%D 2004
%I 
%X based on Rough set theory and ANN(artificial neural networks) method, Rough-ANN model for pre-warning of enterprise financial crisis is established. It integrates predigesting of enterprise financial crisis index, dynamic learning of financial crisis knowledge by neural networks and forecasting of financial crisis, and an example in financial crisis predicting is given to validate the model. The results show the feasibility and validity of the model. The research work supplies a new way for dynamic prediction for Enterprise financial crisis.
%K financial crisis
%K rough set
%K BP artificial neural network
%K pre-warning<br>财务危机
%K Rough集
%K BP神经网络
%K 预警
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=05BF03075944FE62&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=F3090AE9B60B7ED1&sid=5D311CA918CA9A03&eid=F3583C8E78166B9E&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=18&reference_num=31