Bayesian Network Based Expert System for Seismic Performance Assessment

Abstract:

In this paper, Bayesian network based expert system is built for seismic performance evaluation. Unlike the regular rule-based expert system which allows only unidirectional reasoning with strict complete data entry sets, the Bayesian network based expert system can perform bidirectional inference based on incomplete information when the prior probability distributions are given. Seismic performance evaluation is a task that often needs experiences to draw a conclusion under insufficient information circumstance, which made the Bayesian network- based expert system well qualified for the job, and the example also illustrates this point.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 1718-1721
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.1718
• Online since: January 2013
• Authors: Hao Li, Hua Zhang
• Keywords: Bayesian Network (BN), Expert System, Seismic Performance, Uncertainty Reasoning

References

[1] Nilsson N.J. Artificial Intelligence: A new Synthesis [M]. Beijing: China Machine Press, (2000).

[2] Joseph C. CLIPS User's Guide. http: /www. ghg. net/clips/download/documentation, (2003).

[3] Mamdani E H. IEEE Transactions on Computers, 1977, 26(12): 1182-1191.

[4] Pear J. Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference [M]. San Francisco: Morgan Kaufmann, (1998).

[5] Jordan M I. Learning in Graphical Models [M]. Cambridge, MA: MIT Press, (1999).

[6] Spiegelhalter DJ, Lauritzen SL, etc al. Statistical Science, 1993, 8(3): 219-247.

[7] Bruce E. Thinking in C++ [M]. Upper Saddle River, New Jersey: Prentice Hall, (2003).