DocumentCode
584326
Title
Design and Implementation of Enterprise Financial Pre-warning System Based on BP Neural Network
Author
Liu, Dawei
Author_Institution
Dept. of Found., Eng. Univ. of Chinese Armed Police Force, Xi´´an, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
413
Lastpage
415
Abstract
The BP Neural Network´s application in financial pre-warning is studied in this paper. Use the dynamic cluster method to classify enterprise´s standardized data and get enterprise´s pre-warning model through training the BP neural network using classified data. Discuss its implementation on computer in J2EE platform. Through taking test on the panel data, this method can provide accurate forecast information to the enterprise.
Keywords
Java; backpropagation; financial data processing; neural nets; pattern classification; pattern clustering; BP neural network training; J2EE platform; dynamic cluster method; enterprise financial pre-warning system; enterprise standardized data classification; forecast information; Algorithm design and analysis; Artificial neural networks; Data models; Educational institutions; Mathematical model; Training; BP neural network; Enterprise financial pre-warning; J2EE;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.110
Filename
6394348
Link To Document