Mitsubishi Electric Corporation

Shinichiro Nishiuma

Ryo Kashiwagi

A learning system () generates a diagnosis model through machine learning using learning data, and diagnoses diagnosis target data based on the diagnosis model. A feedback processor () outputs incorrect diagnosis data when acquiring a user input indicating that a diagnosis result is incorrect, and corrects the incorrect diagnosis data based on the user input. A similarity determiner () determines similarity, to the incorrect diagnosis data output by the feedback processor () before being corrected, of the learning data or another diagnosis result of the diagnosis results yet to undergo the feedback process. The feedback processor () performs the feedback process on similarity data with at least a specific level of similarity. The learner () performs relearning using data including the incorrect diagnosis data corrected in the feedback process.

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Tokyo, Japan

Shinichiro Nishiuma