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  • Summary & Details

冷却水温予測のためのAI活用

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Category(J)PPT資料

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Category(E)PPT slides
Author(J)1) 下川 智史
Author(E)1) Tomofumi Shimokawa
Affiliation(J)1) トヨタ自動車株式会社
Affiliation(E)1) Toyota Motor Corporation
Abstract(J)CHT解析を用いて冷却水温を予測しているが,非常に多くの時間を掛け,実測値と同定を取った熱境界条件を用意しなければならない.そこで,重回帰分析と深層学習を組み合わせることで説明可能性を高めつつ、高効率化かつ高精度のサロゲートモデルを構築し、熱境界条件の導出を効率化できたことを紹介する

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