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FEATURE SELECTION SYSTEM, FEATURE SELECTION METHOD, AND FEATURE SELECTION PROGRAM

机译:特征选择系统,特征选择方法和特征选择程序

摘要

A feature selection system 90 that selects features to be used in learning for a predictive model when a manipulated variable for optimizing an objective function under constraint conditions is calculated, said objective function being expressed using said predictive model, said feature selection system comprising: a reception unit 91 that receives the designation of a target of prediction and the designation of a manipulated variable; a feature selection unit 92 that selects a first feature set and a second feature set from a set of features that can influence the target of prediction, said first feature set being a set of features that influence the target of prediction, said second feature set being a set of features that influence the manipulated variable; and an output unit 93 that outputs the first feature set and the second feature set.
机译:特征选择系统90,当计算用于在约束条件下优化目标函数的操纵变量时,选择用于学习预测模型的特征,所述目标函数使用所述预测模型表示,所述特征选择系统包括:接收单元91接收预测目标的指定和操纵变量的指定;特征选择单元92,其从可以影响预测目标的一组特征中选择第一特征组和第二特征组,所述第一特征组是影响预测目标的一组特征,所述第二特征组为一组影响操纵变量的特征;输出单元93输出第一特征集和第二特征集。

著录项

  • 公开/公告号WO2018154663A1

    专利类型

  • 公开/公告日2018-08-30

    原文格式PDF

  • 申请/专利权人 NEC CORPORATION;

    申请/专利号WO2017JP06647

  • 发明设计人 YABE AKIHIRO;FUJIMAKI RYOHEI;

    申请日2017-02-22

  • 分类号G06Q10/04;

  • 国家 WO

  • 入库时间 2022-08-21 12:42:54

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