%0 Journal Article
%T Design and implementation of financial prewarning model based on data-mining<br>基于数据挖掘的财务预警模型设计与实现
%A CAO Ming
%A SHAN Si-qing
%A LIANG Hai-yan
%A <br>曹明
%A 闪四清
%A 梁海燕
%J 计算机应用
%D 2006
%I 
%X Since the ID3 algorism has obvious advantage on attribute screening, the algorism so as to get a simplified financial index system was modified in this paper. Then, as artificial neural network is better in constructing financial prewarning model than other linear and regression models, a new financial prewarning model based on B-P model was constructed. At last, the ability to prewarn the financial risk between the new financial prewarning model and the classic Z-score model were compared in terms of first error ratio and second error ratio. The prewarning ability of the new model has been proved.
%K financial prewarning
%K decision-tree
%K B-P model
%K artificial neural network
%K data mining<br>财务预警
%K 决策树
%K B-P模型
%K 人工神经网络
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=902C46E5BC366D04&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=19C6709C557F094B&eid=2A721C2518737479&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=15