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Event monitoring method based on event prediction using deep learning model Event monitoring system and Computer program for the same

机译:使用深度学习模型的基于事件预测的事件监视方法及其事件监视系统和计算机程序

摘要

The present invention relates to an event monitoring method, event monitoring system, and computer program based on event prediction using a deep learning model. According to an embodiment of the present invention, disclosed are an event monitoring method, event monitoring system, and computer program based on event prediction using a deep learning model, which are configured to select, by a plurality of object elements, a main event and a preceding event temporally preceding the main event based on a criterion predetermined from a work system combined based on hierarchical relationship, learn a deep learning model using the selected events, and predict and determine the main event by inputting a plurality of pieces of event information generated in a real-time monitoring process into the deep learning model.
机译:本发明涉及基于使用深度学习模型的事件预测的事件监视方法,事件监视系统和计算机程序。根据本发明的实施例,公开了一种事件监视方法,事件监视系统和基于使用深度学习模型的事件预测的计算机程序,其被配置为通过多个对象元素来选择主事件和事件。根据从根据层次关系组合的工作系统中预先确定的标准,在时间上在主要事件之前暂时发生在先事件,使用所选事件学习深度学习模型,并通过输入生成的多条事件信息来预测和确定主要事件在实时监控过程中融入深度学习模型。

著录项

  • 公开/公告号KR102041545B1

    专利类型

  • 公开/公告日2019-11-06

    原文格式PDF

  • 申请/专利权人 WEMB;

    申请/专利号KR20190028595

  • 申请日2019-03-13

  • 分类号G06Q10/06;G06N3/08;G06Q10/04;

  • 国家 KR

  • 入库时间 2022-08-21 11:47:26

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