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混合BO-XGBoost和BO-RF模型用于用参数分析预测自压迫机的强度预测

Asif Ahmed1, Wei Song2, Yumeng Zhang1

  • 1Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China.

Materials (Basel, Switzerland)
|June 28, 2023
PubMed
概括

机器学习模型准确地预测了自压缩砂 (SCM) 的强度. 使用极端梯度提升 (XGBoost) 和随机森林 (RF) 的混合模型与贝叶斯优化为混合设计指导提供可靠的预测.

关键词:
贝叶斯优化方法是贝叶斯优化方法.极端的梯度提升极端的梯度提升混合动力ML混合动力ML迫击炮迫击炮迫击炮随机的森林随机的森林自压缩型砂是自压缩型的强度预测 预测 强度预测

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