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财务困境预测中BP神经网络模型应用综述
引用本文:许静,李晓静.财务困境预测中BP神经网络模型应用综述[J].中国会计电算化,2009(21):7-9.
作者姓名:许静  李晓静
作者单位:北京科技大学经济管理学院,中国北京100083
摘    要:金融危机席卷全球。处于金融市场之中的企业随时面,临着陷入财务困境的可能,财务困境预测模型的建立可以使公司提前预测到困境的发生,从而及早避免投资损失。随着信息技术的发展,人工神经网络预测模型开始兴起,本文重点介绍了BP神经网络模型在财务困境预测中的应用情况,并将BP神经网络模型与传统统计方法进行了比较分析。

关 键 词:财务困境  预测模型  BP神经网络

An Overview of the Application of BP Neural Network in the Financial Distress Prediction
Authors:XU Jing  LI Xiao-jing
Institution:(School of Economy and Management, University of Science and Technology Beijing, Beijing 100083, China)
Abstract:The financial crisis comes all over the world. As a result, companies probably get into the financial distress in the capital market. These companies will be able to prevent loss in advance if they can predict the financial distress by using some prediction models. With the information technology development, the Artificial Neural Network prediction model has become more popular. This paper will introduce the application of BP Neural Network in the financial distress prediction. Furthermore, an overview of the comparison between BPNN and the statistical method will be given.
Keywords:Financial Distress  Prediction Model  BP Neural Network
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