MODEL GENERATION DEVICE, PREDICTION DEVICE, MODEL GENERATION METHOD, PREDICTION METHOD, AND RESIN COMPOSITION MANUFACTURING SYSTEM

Title:

MODEL GENERATION DEVICE, PREDICTION DEVICE, MODEL GENERATION METHOD, PREDICTION METHOD, AND RESIN COMPOSITION MANUFACTURING SYSTEM

Document Type and Number:

WIPO Patent Application WO/2023/002804

Kind Code:

A1

Abstract:

According to the present invention, a condition under which required characteristics of a resin composition are satisfied is identified more efficiently than in the past. In this model generation device (100), a first machine learning unit (21) generates, on the basis of first input data (110) and second input data (120) forming a pair with the first input data (110), a first prediction model (MODEL1) for predicting unknown resin composition characteristic data from one or more of (i) arbitrary inorganic filler characteristic data, (ii) arbitrary resin characteristic data, (iii) arbitrary inorganic filler compounding data, and (iv) arbitrary resin compounding data. A second machine learning unit (22) generates, on the basis of the first prediction model (MODEL1), a second prediction model (MODEL2) for predicting one or more of (i) predicted inorganic filler characteristic data, (ii) predicted resin characteristic data, (iii) predicted inorganic filler compounding data, and (iv) predicted resin compounding data satisfying arbitrary resin composition characteristic data.

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Inventors:

TAI MINAMI (JP)
IMAI SHUNSUKE (JP)
HAMASAKA GO (JP)

Application Number:

PCT/JP2022/025344

Publication Date:

January 26, 2023

Filing Date:

June 24, 2022

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Assignee:

TOKUYAMA CORP (JP)

International Classes:

G16C20/30; C08K3/013; C08L101/00; G06Q10/04; G16C20/70

Domestic Patent References:

WO2021079985A1

2021-04-29

Foreign References:

CN112182979A	2021-01-05
JP2004053440A	2004-02-19

Attorney, Agent or Firm:

HARAKENZO WORLD PATENT & TRADEMARK (JP)

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