Recognising a scenario by calculating a temporal proximity index between constraint graphs

Nicolas Ramaux, D. Fontaine
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引用次数: 3

Abstract

The recognition of temporal scenarios is expressed by means of the proximity between a scenario (which represents a system's possible behavior) and a session (which describes the observed behaviour). This recognition is qualified with a proximity index, which allows one to classify, either online or offline, the scenario candidates for an explanation of the evolution. This approach, when used in a dynamic system's supervisory or diagnostic tasks, opens up possibilities for using or learning scenarios, or even for structuring the scenarios.
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通过计算约束图之间的时间接近指数来识别场景
时间场景的识别是通过场景(代表系统可能的行为)和会话(描述观察到的行为)之间的接近度来表示的。这种识别是用接近指数来限定的,它允许人们在线或离线地对解释进化的情景候选进行分类。当在动态系统的监督或诊断任务中使用这种方法时,为使用或学习场景,甚至构建场景提供了可能性。
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