发明名称 LEARNING METHOD AND APPARATUS FOR A CAUSAL NETWORK
摘要 A system and method (500, 600) for improving a causal network is provided. A new apriori probability is determined (506) for a repair (502) or a configuration factor (504) within the causal network and compared (520) 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 (528). Further, in another aspect, a causal network result is stored (602) 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 sysmptom and root cause. An expert result or an actual data result related to each of the symptoms is stored (602). A new link probability is computed (626) based on the stored causal network result, and expert result or the actual data result.
申请公布号 WO02075578(A9) 申请公布日期 2002.11.21
申请号 WO2002US08103 申请日期 2002.03.15
申请人 GENERAL ELECTRIC COMPANY 发明人 JAMMU, VINAY, BHASKAR
分类号 G06N7/00;(IPC1-7):G06F15/18 主分类号 G06N7/00
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