Importance

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Abstract

A construction method of a trained model includes six processes. In a first process, data for performing machine learning of an operation of a controlled machine by a human is collected. In a second process, collected data that is the data collected is evaluated and, when it does not satisfy a predetermined evaluation criterion, the data is collected again. In a third process, training data is selected from the collected data that satisfies the evaluation criterion. In a fourth process, the training data is evaluated and, when it does not satisfy a predetermined evaluation criterion, the training data is selected again. In a fifth process, a trained model is constructed by machine learning using the training data that satisfies the evaluation criterion. In a sixth process, the trained model is evaluated and, when it does not satisfy a predetermined evaluation criterion, the trained model is trained again.

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First Claim