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

Pengfei Zhao, Lili Zhang, Guanmin Liu, Shubin Si · 2011

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.

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