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Classification model learning device, classification model learning method, classification model learning program, classification model, classifier and sorting apparatus

机译:分类模型学习设备,分类模型学习方法,分类模型学习程序,分类模型,分类器和分拣装置

摘要

Problem to be solved: to simplify the learning of the characteristics of various objects.Classification model learning device 10The first sensor data from the first object group and the sensor data acquisition section 11 for acquiring the second sensor data from the second object group excluding one or more objects from the first object groupA clustering model generator 12 for updating a model parameter by classifying a group of sensor data consisting of first sensor data and second sensor data into a plurality of groups by a clustering model, andFrom multiple groupsA designation unit 13 which specifies a group with a significantly fewer number of second sensor data included in the group as a group to be extracted from the number of first sensor data andAcquisition of sensor dataA learning section 14 for learning the classification model by repeating the learning process including the updating of the parameter and the designation of the group to be extracted is provided.Diagram
机译:要解决的问题:简化各种对象的特征的学习.Classification模型学习设备10来自第一对象组的第一传感器数据和传感器数据采集部分11,用于从不包括一个或一个或多或少地从所述第二对象组获取所述第二传感器数据 来自第一对象Groupa集群的更多对象,用于通过群集模型对由第一传感器数据和第二传感器数据组成的一组传感器数据来更新型号参数,并通过群集模型组成的多个组。 具有在组中包括在组中包括的显着较少数量的第二传感器数据作为用于通过重复学习过程的传感器DataA学习部分14的第一个传感器数据的数量,用于学习分类模型的组,包括更新 提供要提取的组的参数和指定.diagram

著录项

  • 公开/公告号JP2021168001A

    专利类型

  • 公开/公告日2021-10-21

    原文格式PDF

  • 申请/专利权人 鹿島建設株式会社;

    申请/专利号JP20200070297

  • 发明设计人 八木 正彰;小室 賢治;

    申请日2020-04-09

  • 分类号G06N20;G06T7;G01N21/88;

  • 国家 JP

  • 入库时间 2022-08-24 21:50:38

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