Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
The probabilistic model of rock and soil mechanics parameters affects the results and precision of reliability analysis and design.
岩土力学参数的概率分布类型直接影响岩土工程可靠性分析的计算结果和精度。
The fundamental principle and methods of probabilistic seismic hazard analysis based on the Poisson's model and the characteristic earthquake model depending on time are discussed.
阐述了基于泊松模型以及时间相依的特征地震模型的地震危险性概率分析的基本原理与方法。
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