Title :
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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.25
