Title :
A Study of Credit Card Risk Detection Based on Chaos Theory and Neural Network
Author :
Zhu, Yan-Li ; Guo, Xiao-Juan ; Wang, Shun-Ping ; Cheng, Ji-Fu
Author_Institution :
Sch. of Inf. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
Abstract :
In this paper, a new prediction model, based on chaos theory and BP artificial neural network, is developed to predict the risk of credit card transactions. Embedding dimension of phase-space reconstruction is used to determine network structure, and overcomes the dependence on large amount of samples. Experiments shows that the method based on combination of chaos theory and neural network can improve the accuracy and speed of forecasting.
Keywords :
Accuracy; Artificial neural networks; Chaos; Computer networks; Credit cards; Libraries; Mathematical model; Neural networks; Predictive models; Weather forecasting; artificial neural network; chaos theory; phase-space reconstruction; risk detection;
Conference_Titel :
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-0-7695-3972-0
Electronic_ISBN :
978-1-4244-5924-7
DOI :
10.1109/CESCE.2010.211
