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机器学习模型用于基岩纤维增强混凝土的机械性能预测,并包含图形用户界面

Md Ehtesamul Haque1, Md Arifuzzaman2, Kaffayatullah Khan3

  • 1Department of Computer Science, CCSIT, King Faisal University, P.O. Box 380, 31982, Al-Ahsa, Kingdom of Saudi Arabia.

Scientific reports
|October 23, 2025
PubMed
概括

机器学习准确地预测了基岩纤维增强混凝土的强度. 梯度增强回归在压力强度方面表现出色,而支向量回归则在拉伸强度预测方面领先,提供了具有成本效益的设计工具.

关键词:
人工智能的人工智能是人工智能.使用玄武岩纤维增强混凝土的混凝土.压力强度的压力强度是什么基于图形用户界面的预测.在SHAP分析中,我们分析了SHAP.分裂拉力强度的拉力强度.

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