SYSTEM AND METHOD FOR MODEL PARAMETER OPTIMIZATION

    公开(公告)号:US20210182357A1

    公开(公告)日:2021-06-17

    申请号:US16714347

    申请日:2019-12-13

    Applicant: Cray Inc.

    Abstract: One embodiment can provide a method and system for tuning parameters of a numerical model of a physical system. During operation, the system can obtain, using a machine-learning technique, a parameter-transform model for mapping parameters of the numerical model at a first resolution to parameters of the numerical model at a second resolution, the second resolution being higher than the first resolution. The system can perform a parameter-tuning operation on the numerical model at a first resolution to obtain a first set of tuned parameters and apply the parameter-transform model on the first set of tuned parameters to obtain a second set of tuned parameters at a second resolution. The system can then generate behavior information associated with the physical system by running the numerical model at the second resolution using the second set of tuned parameters.

    System and method for model parameter optimization

    公开(公告)号:US12112261B2

    公开(公告)日:2024-10-08

    申请号:US16714347

    申请日:2019-12-13

    Applicant: Cray Inc.

    CPC classification number: G06N3/08 G01W1/02 G06N20/20

    Abstract: One embodiment can provide a method and system for tuning parameters of a numerical model of a physical system. During operation, the system can obtain, using a machine-learning technique, a parameter-transform model for mapping parameters of the numerical model at a first resolution to parameters of the numerical model at a second resolution, the second resolution being higher than the first resolution. The system can perform a parameter-tuning operation on the numerical model at a first resolution to obtain a first set of tuned parameters and apply the parameter-transform model on the first set of tuned parameters to obtain a second set of tuned parameters at a second resolution. The system can then generate behavior information associated with the physical system by running the numerical model at the second resolution using the second set of tuned parameters.

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