Physical property prediction device and program

The physical property prediction device addresses the uncertainty in existing methods by using a machine learning model and similarity determination to assess prediction accuracy, enabling confident decision-making in prototype production.

JP7610108B2Active Publication Date: 2025-01-08THE YOKOHAMA RUBBER CO LTD
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Patent Information

Application Number
JP2021025390
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-02-19
Publication Date
2025-01-08
Estimated Expiration
2041-02-19

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Abstract

To provide a physical property predictor and a program allowing a user to learn, by each prediction, a degree of probability of a physical property prediction.SOLUTION: Learning-purpose condition data storage means 20 stores multiple pieces of learning-purpose condition data each indicating a generation condition of a substance. A machine learning model 40 outputs predicted physical property data learned through the multiple pieces of learning-purpose condition data and indicating properties of a substance to be generated at a generation condition shown by input condition data, when inputting the prescribed input condition data. A similarity determination part 50 determines a similarity between each of the multiple pieces of learning-purpose condition data and the input condition data. A prediction physical property data output part 60 outputs the predicted physical property data and also outputs information based on one of similarities as a likelihood ratio of the predicted physical property data.SELECTED DRAWING: Figure 2
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Citation Information

Patent Citations

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