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Patent Searching and Data


Title:
TRAINED MODEL GENERATION METHOD, PROGRAM, STORAGE MEDIUM, AND TRAINED MODEL
Document Type and Number:
WIPO Patent Application WO/2023/013463
Kind Code:
A1
Abstract:
The purpose of the present disclosure is to provide, inter alia, a novel trained model generation method relating to a coating. The present disclosure is a trained model generation method for generating a trained model for determining, by using a computer, an evaluation of an article in which a coating is fixed to a substrate. The trained model generation method comprises: an acquisition step (S12) in which the computer acquires, as teacher data, information including at least an evaluation of an article and coating information that pertains to a coating; a learning step (S15) in which the computer performs learning on the basis of a plurality of items of teacher data acquired in the acquisition step (S12); and a generation step (S16) in which the computer generates a trained model on the basis of the result of learning in the learning step (S15). The trained model outputs an evaluation upon receiving input of input information that is unknown information different from the teacher data. The input information includes at least coating information.

Inventors:
HOGAKI RYOYA (JP)
MIZUTANI SEIGO (JP)
IWASAKA TAKUMA (JP)
YAMAGUCHI NOZOMI (JP)
YOSHIOKA TAKUYA (JP)
IMOTO KATSUHIKO (JP)
Application Number:
PCT/JP2022/028696
Publication Date:
February 09, 2023
Filing Date:
July 26, 2022
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Assignee:
DAIKIN IND LTD (JP)
International Classes:
B05C11/00; G06N3/08; G06N20/00
Domestic Patent References:
WO2020230781A12020-11-19
Foreign References:
JP6703639B12020-06-03
JP2018021758A2018-02-08
TW202044095A2020-12-01
Attorney, Agent or Firm:
WISEPLUS IP FIRM (JP)
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