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Updated: Jan 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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混合波形-ML模型用于挪威地区干旱预测

Türker Tuğrul1, Sertaç Oruç2,3, Jessica Louise Hall4

  • 1Technology Faculty, Civil Engineering Department, Gazi University, Ankara, Türkiye.

Scientific reports
|November 4, 2025
PubMed
概括

这项研究使用机器学习预测挪威的干旱情况,发现带有波形转换的长期短期记忆网络为干旱事件提供了最佳的早期预警.

关键词:
在 Catboost 中使用 Catboost.这是LSTM的LSTM.在MLP中,MLP是MLP.在SVM中,SVM是SVM.波形变换的波形变换在XGBoost中使用.

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