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Predicting wind-driven rain amount on building facade based on machine learning models
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DOI：10.1016/j.buildenv.2025.113308.png)
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Abstract
En 中文
• Field measurements provide data for machine learning models. • Machine learning models outperform ASHRAE in WDR prediction accuracy. • Hyperparameter optimization enhances machine learning model performance. • RBF neural network and SVM show high accuracy and stability.
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7.6
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1.3W
Citations:
6.6W
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