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热词
    • 9. 发明授权
    • Learning method and apparatus for a causal network
    • 因果网络的学习方法和设备
    • US06681215B2
    • 2004-01-20
    • US09681336
    • 2001-03-20
    • Vinay Bhaskar Jammu
    • Vinay Bhaskar Jammu
    • G06F1518
    • G06N7/005
    • A system and method for improving a causal network is provided. A new apriori probability is determined for a repair or a configuration factor within the causal network and compared to an old apriori probability. If the new apriori probability differs from the old apriori probability by more than a predetermined amount, the causal network is updated. Further, in another aspect, a causal network result is stored for a causal network, wherein the causal network includes a plurality of root causes with a symptom being associated with each of said root causes. An existing link probability is related to the symptom and root cause. An expert result or an actual data result related to each of the symptoms is stored. A new link probability is computed based on the stored causal network result, and expert result or the actual data result.
    • 提供了一种改善因果网络的系统和方法。 对因果网络中的修复或配置因素确定新的先验概率,并与旧的先验概率进行比较。 如果新的先验概率与旧的先验概率不同超过预定量,则更新因果网络。 此外,在另一方面,为因果网络存储因果网络结果,其中所述因果网络包括具有与每个所述根本原因相关联的症状的多个根本原因。 现有的链接概率与症状和根本原因有关。 存储与每个症状相关的专家结果或实际数据结果。 基于存储的因果网络结果,专家结果或实际数据结果计算新的链路概率。