DocumentCode
736799
Title
Application and Efficiency of Probabilistic Neural Network in Suspicious Transaction Surveillance
Author
Zhenghua, Li
fYear
2015
fDate
13-14 June 2015
Firstpage
178
Lastpage
181
Abstract
We apply the PNN neural network to suspicious transaction surveillance by deviation of time series data prediction. Comparing with other type neural networks including BP, Elman, LVQ, and SOM, we find that PNN has obvious advantages in structure complexity and efficiencies which are suitable in analysis for massive financial data.
Keywords
Bayes methods; Biological neural networks; Classification algorithms; Neurons; Probabilistic logic; Training; Probabilistic Neural Network; outlier detection; suspicious financial transaction;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location
Nanchang, China
Print_ISBN
978-1-4673-7142-1
Type
conf
DOI
10.1109/ICMTMA.2015.50
Filename
7263541
Link To Document