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Bayesian Network Based Expert System for Seismic Performance Assessment

机译:基于贝叶斯网络的地震性能评估专家系统

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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.
机译:本文基于贝叶斯网络的专家系统,建立了抗震性能评估。与仅允许使用严格的完整数据输入集的单向推理的基于规则的专家系统不同,贝叶斯网络的专家系统可以基于给出了现有概率分布时基于不完整的信息来执行双向推理。地震绩效评估是一项任务,通常需要在不足的信息环境下得出结论的经验,这使得基于贝叶斯网络的专家系统良好地获得了作业的专家系统,而该示例还说明这一点。

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