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Updated: Jun 9, 2025

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对ANN和XGBoost的替代模型进行比较,这些替代模型在少量建筑能源模拟上受过训练

Sanja Stevanović1,2, Husain Dashti3, Marko Milošević4

  • 1Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, Serbia.

PloS one
|October 25, 2024
PubMed
概括

梯度增强树组合 (XGBoost) 和顺序设计方法 (MIPT) 提高了建筑能效优化的准确性. 这些方法从有限的数据中快速训练精确的代孕模型,优于人工神经网络和拉丁式超立方体采样.

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