DocumentCode :
2346393
Title :
BP-Neural Network Model for Financial Risk Warning in Medicine Listed Company
Author :
Shen, Hong ; Cui, Juan ; Zhou, Zhongbo ; Min, Hao
Author_Institution :
Sch. of Public Econ. & Adm., Shanghai Univ. of Finance & Econ., Shanghai, China
fYear :
2011
fDate :
15-19 April 2011
Firstpage :
767
Lastpage :
770
Abstract :
This paper mainly discusses the financial data of listed 71 medicine companies in order to establish a more accurate financial pre-warning model with the analysis of BP (Back Propagation)-neural network, by choosing 38 comprehensive indexes which reflect the financial distress, basing on the study of comparison of financial pre-warning models. The result shows that BP-neural network model is of high accuracy for pre-warning the financial distress in this industry.
Keywords :
backpropagation; financial management; medicine; neural nets; pharmaceutical industry; BP-neural network model; back propagation-neural network; financial distress; financial risk warning; medicine listed company; Accuracy; Analytical models; Artificial neural networks; Companies; Economics; Industries; Predictive models; BP-neural network Model; Financial distress; Listed medicine company;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
Type :
conf
DOI :
10.1109/CSO.2011.97
Filename :
5957770
Link To Document :
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