DocumentCode
2103150
Title
A Study of Corporate Financial Crisis Prediction System: Based on BP Artificial Neural Network
Author
Zhao, Xin
Author_Institution
Sch. of Manage., Zhejiang Univ., Hangzhou
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
78
Lastpage
81
Abstract
Financial crisis is fatal to all companies. So, it is very important to establish a financial crisis prediction system for each company to resolve latent problems before they emerge. However, artificial neural network (ANN) offers an approach to computation that is different from conventional analytic methods. In this text, we construct a BP neural network model to predict the financial crisis of companies with the samples from Shanghai stock exchange and Shenzhen stock exchange. And it is proved that the model is appropriate.
Keywords
backpropagation; corporate modelling; financial management; neural nets; stock markets; BP artificial neural network; Shanghai stock exchange; Shenzhen stock exchange; corporate financial crisis prediction system; Artificial neural networks; Biological neural networks; Costs; Hopfield neural networks; Humans; Nervous system; Neural networks; Neurons; Recurrent neural networks; Stock markets;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3505-0
Type
conf
DOI
10.1109/IITA.Workshops.2008.229
Filename
4731885
Link To Document