Title :
The Risk Assessment of E-commerce Based on BP Neural Network
Author :
Yin Peng ; Sun Ying
Author_Institution :
Sch. of Mech. & Civil Eng., China Univ. of Min. & Technol. (Beijing), Beijing, China
Abstract :
In order to effectively evaluate the risk of e-commerce, this paper applies BP neural network to establish risk assessment model, and then use the MATLAB neural network toolbox to process the learning, training and simulation of the model, at last the model is applied to the practice to make the sensitivity analysis of e-commerce risk factor. The result shows that: the method provides an effective method for e-commerce risk assessment, and has broad application prospects.
Keywords :
backpropagation; electronic commerce; learning (artificial intelligence); neural nets; risk management; BP neural network; MATLAB; e-commerce; learning process; risk assessment; sensitivity analysis; Adaptation model; Analytical models; Artificial neural networks; Biological neural networks; Mathematical model; Neurons; Risk management; BP neural network; MATLAB; e-commerce; risk assessment;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.654
