BN is a directed acyclic graph with network structure, which is intuitionistic and easy understanding. It can handle multi-information expression, data fusion and bi-directional parallel reasoning.
贝叶斯网络是一种基于网络结构的有向图解描述，具有多源信息一致表达与信息融合能力，能进行双向并行推理，并能综合先验信息和样本信息，使推理结果更为准确可信。
参考来源 - 贝叶斯网络故障诊断与维修决策方法及应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The formalized algorithm of diagnosis reasoning to enhance the parallel reasoning ability is given.
为提高诊断时的并行推理能力，给出了诊断推理的形式化算法。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
在一类不确定推理模型中，可以用这类弱t -范数的性质来解释其平行传播算法所具有的直观特征。
The parallel combined intelligent reasoning can be closer to human thinking model and improve the intelligent level of device status on-line monitoring and diagnosis.
并行组合的智能化推理更能接近人类的思维模式，进一步提高设备状态在线监测诊断的智能化水平。
应用推荐