Application of probabilistic neural network to suspicious financial transaction surveillance and its efficiency comparison
Yong Sheng Deng · Engineering Journal of Wuhan University · 2013
We apply the probabilistic neural network(PNN) to suspicious financial transaction surveillance by deviation of time series data prediction.Comparing with other type neural networks including BP,Elman,LVQ and SOM neural netowrks,we find that PNN has obvious advantages in structural complexity and efficiencies which are suitable for analysis of massive financial data.