首页> 外国专利> LIQUEFACTION EVALUATION MODEL GENERATION DEVICE, LIQUEFACTION EVALUATION DEVICE, NON-TRANSITORY RECORDING MEDIUM RECORDING LIQUEFACTION EVALUATION MODEL GENERATION PROGRAM, NON-TRANSITORY RECORDING MEDIUM RECORDING LIQUEFACTION EVALUATION PROGRAM, LIQUEFACTION EVALUATION MODEL GENERATION METHOD, AND LIQUEFACTION EVALUATION METHOD

LIQUEFACTION EVALUATION MODEL GENERATION DEVICE, LIQUEFACTION EVALUATION DEVICE, NON-TRANSITORY RECORDING MEDIUM RECORDING LIQUEFACTION EVALUATION MODEL GENERATION PROGRAM, NON-TRANSITORY RECORDING MEDIUM RECORDING LIQUEFACTION EVALUATION PROGRAM, LIQUEFACTION EVALUATION MODEL GENERATION METHOD, AND LIQUEFACTION EVALUATION METHOD

机译:液化评价模型生成装置,液化评估装置,非暂时记录介质记录液化评估模型生成程序,非暂时记录介质记录液化评估程序,液化评估模型生成方法和液化评估方法

摘要

A liquefaction evaluation model generation device includes a data acquisition unit configured to acquire training data in which learning vibration data indicating a physical quantity associated with vibrations observed in the ground is defined as a question and learning liquefaction data indicating the degree of liquefaction occurring in the ground where the vibrations associated with the learning vibration data have been observed is defined as an answer, and a machine learning execution unit configured to execute machine learning using the training data and generate a liquefaction evaluation model that is a machine learning model. A liquefaction evaluation device includes a data acquisition unit configured to acquire inference vibration data indicating a physical quantity associated with vibrations observed in the ground and an inference execution unit configured to input the inference vibration data to the above-described machine learning model and cause the machine learning model to output inference liquefaction data indicating the degree of liquefaction occurring in the ground where the vibrations associated with the inference vibration data have been observed.
机译:液化评估模型生成装置包括数据采集单元,被配置为获取训练数据,其中指示在地面中观察到的振动相关的物理量的学习振动数据被定义为一个问题和学习液化数据,其指示地面发生的液化程度的液化数据在已经观察到与学习振动数据相关联的振动被定义为答案,并且被配置为使用训练数据执行机器学习的机器学习执行单元并生成作为机器学习模型的液化评估模型。液化评估装置包括数据采集单元,被配置为获取指示与地面观察到的振动相关联的物理量的推断振动数据和被配置为将推理振动数据输入到上述机器学习模型并导致机器的推断执行单元。学习模型输出推理液化数据,指示在地面中发生的液化程度,其中已经观察到与推理振动数据相关的振动。

著录项

  • 公开/公告号US2022003887A1

    专利类型

  • 公开/公告日2022-01-06

    原文格式PDF

  • 申请/专利权人 TOHOKU UNIVERSITY;

    申请/专利号US202117367074

  • 发明设计人 MOTOKI KAZAMA;AKIYOSHI KAMURA;GO KURIHARA;

    申请日2021-07-02

  • 分类号G01V1/30;G06N20;G06N5/04;G01V1/28;

  • 国家 US

  • 入库时间 2022-08-24 23:15:03

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