Design and Development of the Bayesian Network Platform Based on B/S Structure

Author

Zhao, Pengfei ; Zhang, Lili ; Liu, Guanmin ; Si, Shubin

Author_Institution

Minist. of Educ. Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China

fYear

2011

fDate

8-9 Oct. 2011

Firstpage

65

Lastpage

68

Abstract

This paper studied on the design and development of Bayesian network platform under the B/S mode. We described the function design, development framework, network visualization, construction of the digital information and the inference algorithms of Bayesian network in detail. Based on the B/S model, this platform has obvious advantages at the aspects of convenience and cost. Finally, the simulation study of the Asia case confirmed the effectiveness of the platform modeling and inference. The results show that this platform completely satisfies the requests of Bayesian network applications and provides strong support for online modeling and inference.

Keywords

belief networks; data visualisation; inference mechanisms; Bayesian network platform; browser-server structure; digital information construction; inference algorithm; network visualization; Algorithm design and analysis; Analytical models; Asia; Bayesian methods; Data models; Inference algorithms; Matrix converters; B/S mode; Bayesian network platform; network inference; network modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4577-1788-8

Type

conf

DOI

10.1109/KAM.2011.25

Filename

6137579