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MODEL ADAPTION AND ONLINE LEARNING FOR UNSTABLE ENVIRONMENTS

机译:适应不稳定环境的模型适应和在线学习

摘要

Methods, systems, and apparatuses for adapting a predictive model for a manufacturing process. One method includes receiving, with an electronic processor, a plurality of data points for a plurality of manufactured parts and the predictive model. The predictive model outputs a label for a manufactured part provided by the manufacturing process indicating whether the manufactured part is accepted or rejected. The method also includes estimating, with the electronic processor, a drift for each of the plurality of data points and generating, with the electronic processor, an adapted version of the predictive model based on the predictive model and the drift for each of the plurality of data points. In addition, the method includes outputting, with the electronic processor, a label for each of the plurality of manufactured parts using the adapted version of the predictive model.
机译:用于使预测模型适应制造过程的方法,系统和装置。一种方法包括用电子处理器接收多个制造零件和预测模型的多个数据点。预测模型输出由制造过程提供的制造零件的标签,该标签指示接受或拒绝制造零件。该方法还包括利用电子处理器估计多个数据点中的每个数据点的漂移,并利用电子处理器基于预测模型和针对多个数据点中的每一个的漂移来生成预测模型的适应版本。数据点。此外,该方法包括利用电子模型为预测模型的适应版本输出多个制造零件中的每个零件的标签。

著录项

  • 公开/公告号EP3405843B1

    专利类型

  • 公开/公告日2020-08-12

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号EP20170700956

  • 发明设计人 LADE PRASANTH;

    申请日2017-01-18

  • 分类号G05B23/02;G05B17/02;G05B13/04;

  • 国家 EP

  • 入库时间 2022-08-21 11:42:25

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