TRAINED MODEL GENERATION METHOD, PROGRAM, STORAGE MEDIUM, AND TRAINED MODEL

    公开(公告)号:US20240232577A1

    公开(公告)日:2024-07-11

    申请号:US18430295

    申请日:2024-02-01

    CPC classification number: G06N3/042

    Abstract: A trained model generation method relating to coating material. A trained model generation method for generating a trained model that determines, using a computer, evaluation of an article including coating material on a substrate, including: an acquisition step (S12) of causing the computer to acquire training data information including coating material information and the evaluation of the article, the coating material information corresponding to information of the coating material; a training step (S15) of training the computer based on a plurality of the training data from the acquisition step; and a generation step (S16) of causing the computer to generate the trained model based on training results in the training step. The trained model is configured to receive input information and to yield the evaluation, the input information corresponding to unknown information different from the training data. The input information corresponds to information including at least the coating material information.

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