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

fYear

2010

fDate

7-9 May 2010

Firstpage

2587

Lastpage

2590

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;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and E-Government (ICEE), 2010 International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3997-3

Type

conf

DOI

10.1109/ICEE.2010.654

Filename

5593114

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2443916