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Method of researching the most probable reason of a leading sign by the propagation of knowledge in a causal network

机译:通过因果网络中知识的传播来研究前兆迹象的最可能原因的方法

摘要

The method is used for detecting the causes of a predetermined incident, particularly for detecting the causes of a particular, especially emphasised leading sign. For this purpose, a causal network is built up from simple components, for the individual network nodes of which the probabilities of occurrence are calculated taking into consideration all relevant influences. The knowledge on the presence or non-presence of a node is propagated through the causal network by taking into consideration all events which can influence the probability of a network node. To calculate the probabilities of occurrence of the network nodes, numerical probability values are needed which are obtained as approximations from samples, which in each case are collected more favourably under the condition of the presence of a real system status and for a limited network environment. Finally, a so-called independence analysis makes it possible to determine the actual causal agent of the leading sign and, if necessary, also a causal concatenation by repeating the process.
机译:该方法用于检测预定事件的原因,特别是用于检测特定的,特别强调的前导信号的原因。为此,由简单的组件构建因果网络,针对各个网络节点,考虑所有相关影响来计算其发生概率。通过考虑可能影响网络节点概率的所有事件,通过因果网络传播有关节点存在或不存在的知识。为了计算网络节点出现的概率,需要数值概率值,该数值概率值是从样本中获得的近似值,在真实系统状态存在的情况下以及在有限的网络环境下,这些样本在每种情况下都更有利于收集。最后,所谓的独立性分析可以通过重复该过程来确定前导符号的实际因果关系,必要时还可以确定因果关系。

著录项

  • 公开/公告号EP0399082A1

    专利类型

  • 公开/公告日1990-11-28

    原文格式PDF

  • 申请/专利权人 LIEBEL FRANZ-PETER DR.;

    申请/专利号EP19890109521

  • 发明设计人 LIEBEL FRANZ-PETER DR.;

    申请日1989-05-26

  • 分类号G06F9/44;G06F15/40;

  • 国家 EP

  • 入库时间 2022-08-22 05:54:15

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