公开(公告)号：US20220309397A1

公开(公告)日：2022-09-29

申请号：US17618045

申请日：2019-06-19

Applicant: NEC Corporation

Inventor： So YAMADA ,  Riki ETO ,  Junko WATANABE ,  Hiromi SHIMIZU ,  Hidetaka HANE ,  Shigeo KIMURA ,  Wataru FUJII ,  Tomoyuki KAWABE

IPC: G06N20/00 ,  G01N33/02

Abstract: To mitigate degradation in the accuracy of a prediction model by re-learning the prediction model with consideration given to the characteristics of a detection value of a sensor.
This prediction model re-learning device comprises: a calculation unit that, on the basis of data related to smell detection by a sensor, calculates an index for determining whether or not to re-learn a prediction model for smell; and a re-learning unit that re-learns the prediction model in cases where the calculated index satisfies a predetermined condition.