Title :
Design and Implementation of Enterprise Financial Pre-warning System Based on BP Neural Network
Author_Institution :
Dept. of Found., Eng. Univ. of Chinese Armed Police Force, Xi´´an, China
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.110
