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对各种机器学习算法的比较分析,以预测自压缩混凝土的28天压力强度

Waleed Bin Inqiad1, Muhammad Shahid Siddique1, Saad S Alarifi2

  • 1Military College of Engineering (MCE), National University of Science and Technology (NUST), Islamabad 44000, Pakistan.

Heliyon
|December 4, 2023
PubMed
概括

机器学习模型准确地预测了自压缩混凝土 (SCC) 的28天压力强度. 与多表达式编程 (MEP) 和随机森林 (RF) 相比,极端梯度提升 (XGB) 对这一关键建筑材料表现出更高的准确性.

关键词:
28天的压力强度 (CS)极端梯度提升 (XGB) 的使用机器学习 (ML) 是指机器学习.多个表达式编程 (MEP)随机森林 (RF) 是一个随机的森林.自压缩混凝土 (SCC) 自压缩混凝土

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