使用机器学习优化太阳能温室中Na2HPO4·12H2O基凝相变材料的热性能

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Updated: Jan 16, 2026

Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus
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Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus

Published on: January 30, 2020

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Wenhe Liu1,2,3, Xuhui Wu3, Mengmeng Yang2

  • 1College of Ocean and Civil Engineering, Dalian Ocean University, Dalian 116023, China.

Gels (Basel, Switzerland)
|September 26, 2025
PubMed
概括

研究人员利用机器学习优化了太阳能温室的凝相变复合墙材料. 渐变增强树木 (GBDT) 准确预测了热性能,确定了增强温室气候控制的最佳成分.

关键词:
凝相变材料是凝相变材料.梯度增加了树木的增长.随机的森林随机的森林支持向量的回归.热性能优化优化 热性能优化

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