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TRAINING DATA SELECTION DEVICE, ROBOT SYSTEM, AND TRAINING DATA SELECTION METHOD

机译:培训数据选择设备,机器人系统和培训数据选择方法

摘要

In the present invention, a draining data selection device comprises a data evaluation model, a data evaluation unit, a storage unit, and a training data selection unit. The data evaluation model is built by performing machine learning on at least a part of collected data, or performing machine learning on data different to the collected data. The data evaluation unit evaluates the inputted collected data using the data evaluation model. The storage unit stores evaluated data, which is collected data evaluated by the data evaluation unit. The training data selection unit selects, from the evaluated data stored by the storage unit, training data for building a learning model, the training data being selected according to an instruction from a worker to whom the result of the evaluation performed by the data evaluation unit has been presented, or being selected automatically on the basis of the result of the evaluation.
机译:在本发明中,排水数据选择设备包括数据评估模型,数据评估单元,存储单元和训练数据选择单元。通过对收集数据的至少一部分执行机器学习或对收集数据不同的数据执行计算机学习来构建数据评估模型。数据评估单元使用数据评估模型评估输入的收集的数据。存储单元存储评估数据,该数据被数据评估单元评估的数据。训练数据选择单元从存储单元存储的评估数据中选择用于构建学习模型的训练数据,根据数据评估单元执行的评估结果的指令选择训练数据已经呈现,或在评估结果的基础上自动选择。

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