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Updated: May 7, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于核密度估计和XGBoost的FRP-RC板块的穿孔切削强度的可解释的预测模型

Sheng Zheng1, Tianyu Hu2, Nima Khodadadi3

  • 1Shanghai Urban Construction Vocational College, Shanghai, 201415, China.

Scientific reports
|December 31, 2024
PubMed
概括

这项研究开发了一个准确的XGBoost模型来预测纤维增强聚合物 (FRP) 增强混凝土 (RC) 板块的穿孔切割强度,从而改进了结构设计. 该模型通过核密度估计进行了增强,显示了高精度,并将板块深度确定为关键因素.

关键词:
用纤维增强的聚合物聚合物.核密度估计核密度的估计.在RC板块上使用RC板块.谢普利添加剂的解释在XGBoost上使用.

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