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    • 14. 发明授权
    • Smart sensor continuously adapting to a data stream in real time using both permanent and temporary knowledge bases to recognize sensor measurements
    • 智能传感器使用永久和临时知识库实时连续适应数据流,以识别传感器测量
    • US07624080B1
    • 2009-11-24
    • US11362595
    • 2006-02-25
    • Miguel A. MoralesDavid J. Haas
    • Miguel A. MoralesDavid J. Haas
    • G06F17/00G06F3/08G06N5/00
    • G06N99/005G06K9/62G06K9/6262
    • As the present invention's adaptation process is typically practiced, an observation made by one or more sensing element(s) is classified as being either recognized or unrecognized in the context of a knowledge base. If the observation is classified as being recognized and consistent, then the observation is assimilated into the knowledge base; otherwise, it is not assimilated. If the observation is classified as being unrecognized, then the observation is classified as being uncorroborated in the context of the knowledge base. Prior to being classified as being uncorroborated, the unrecognized observation is categorized in the context of the knowledge base and is associated with an outcome in terms of relationship between/among physical parameters. At the time that corroboration is determined, the observation (originally unrecognized) and its categorization-related and association-related information are assimilated into the knowledge base.
    • 由于本发明的适应过程通常被实践,所以由一个或多个感测元件进行的观察被分类为在知识库的上下文中被识别或未识别。 如果观察被分类为被认可和一致,则观察被吸收到知识库中; 否则,它不被吸收。 如果观察被归类为无法识别,则观察被归类为在知识库的背景下未被证实。 在被分类为未被证明之前,未识别的观察被分类在知识库的上下文中,并且在物理参数之间的关系方面与结果相关联。 在确定佐证的时候,观察(最初未被认识)及其与分类有关的和与关联有关的信息被吸收到知识库中。