%0 Journal Article
%T Prediction of Financial Distress for Listed Companies Based on Wavelet Neural Network<br>基于小波神经网络的上市公司财务危机预测①
%A XIN Xiu
%A <br>辛秀
%J 计算机系统应用
%D 2010
%I 
%X A prediction model of financial distress based on wavelet neural network for listed companies is proposed. The method of selecting financial ratios of companies is analyzed. The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network. The prediction results show that compared with multiple discriminate analysis, and Logit and Probit models, the prediction with this method is more accurate and type I and type II errors are reduced significantly.
%K wavelet neural network
%K listed company
%K financial distress
%K prediction<br>小波神经网络
%K 上市公司
%K 财务危机
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=660AC1D6F7976EFEB3A2009DCC178D72&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=5D311CA918CA9A03&sid=AC1578C6BB9EBDEF&eid=5D9D6A8FC2C66FD8&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=11