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Updated: Sep 9, 2025

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サポートベクトルマシンを使用して,リアルタイムでの洪水深さの予測のための急速なシミュレーション

Beom-Jin Kim1, Minkyu Kim1, Jaehwan Yoo2

  • 1Structures and Seismic Safety Research Division, Korea Atomic Energy Research Institute, Daejeon, 34057, Republic of Korea.

Scientific reports
|August 29, 2025
PubMed
まとめ

この研究では,洪水に弱い都市部で,サポートベクトルマシン (SVM) を使用した急速な洪水深さの予測モデルを開発しました. 物理的なシミュレーションデータで訓練されたSVMモデルは,迅速かつ信頼できる災害対応の予測を提供します.

キーワード:
洪水の深さLIP (ローカル・インテンシブ・プレシピテーション)急速シミュレーションリアルタイムSVM (サポートベクトルマシン)

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