首页> 外国专利> METHODS AND SYSTEMS USING COGNITIVE ARTIFICAL INTELLIGENCE TO IMPLEMENT ADAPTIVE LINGUISTIC MODELS TO PROCESS DATA

METHODS AND SYSTEMS USING COGNITIVE ARTIFICAL INTELLIGENCE TO IMPLEMENT ADAPTIVE LINGUISTIC MODELS TO PROCESS DATA

机译:使用认知人工智能对过程数据实施自适应语言模型的方法和系统

摘要

Techniques are disclosed for analyzing and learning behaviors based on acquired sensor data. A neuro-linguistic cognitive engine performs learning and analysis on linguistic content (e.g., identified alpha symbols, betas, and gammas) obtained by a linguistic model that clusters observations to generate the linguistic content. The neuro-linguistic cognitive engine compares new data to learned patterns stored in short and longer-term memories and determines whether to issue special event notifications indicating anomalous behavior. In one embodiment, condition(s) may be generated for new data and checked against inference nodes of an inference network. Inference nodes matching the condition(s) are executed to, e.g., compare the new data with the learned patterns, with output from the inference nodes being used to generate additional condition(s) that are again matched to inference nodes which may be executed.
机译:公开了用于基于获取的传感器数据来分析和学习行为的技术。神经语言认知引擎对通过对观察进行聚类以生成语言内容的语言模型获得的语言内容(例如,已识别的alpha符号,beta和gamma)进行学习和分析。神经语言认知引擎将新数据与存储在短期和长期记忆中的学习模式进行比较,并确定是否发出指示异常行为的特殊事件通知。在一个实施例中,可以针对新数据生成条件,并针对推理网络的推理节点进行检查。执行与条件匹配的推理节点,以例如将新数据与学习的模式进行比较,其中来自推理节点的输出用于生成附加条件,该条件再次与可以执行的推理节点匹配。

著录项

  • 公开/公告号WO2017177048A1

    专利类型

  • 公开/公告日2017-10-12

    原文格式PDF

  • 申请/专利号WO2017US26419

  • 发明设计人 SEOW MING-JUNG;

    申请日2017-04-06

  • 分类号G06F15/18;G06N3/02;

  • 国家 WO

  • 入库时间 2022-08-21 13:29:20

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