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Updated: Sep 10, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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スタックされたアンサンブル回帰とSHAPベースの説明可能な人工知能を使用して水質インデックスの予測

Rakesh Choudhary1, Ajay Kumar2, Priyadharsini C3

  • 1Department of Civil Engineering, National Institute of Technology Delhi, New Delhi, 110036, India. environmentrakesh@gmail.com.

Scientific reports
|August 24, 2025
PubMed
まとめ

この研究は,水質指数 (WQI) を予測するための新しいスタックアンサンブルモデルを導入し,高い精度を達成します. 説明可能なAI (Explainable AI) は水質の重要なパラメータを特定し,水資源管理と公衆衛生を向上させました.

キーワード:
環境監視説明可能なAI (XAI)機械学習予測分析,水の汚染SHAP についてスタックされた回帰アンサンブル水質指数 (WQI)

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