咨询与建议

限定检索结果

文献类型

  • 1 篇 期刊文献

馆藏范围

  • 1 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1 篇 工学
    • 1 篇 建筑学
    • 1 篇 土木工程

主题

  • 1 篇 regression analy...
  • 1 篇 california beari...
  • 1 篇 self-adaptive bo...
  • 1 篇 stochastic gradi...
  • 1 篇 improved arithme...

机构

  • 1 篇 nantong inst tec...
  • 1 篇 nantong huarong ...

作者

  • 1 篇 lu feng
  • 1 篇 he tao
  • 1 篇 wu xu

语言

  • 1 篇 英文
检索条件"主题词=self-adaptive bonobo optimization algorithm"
1 条 记 录,以下是1-10 订阅
排序:
Exploring the Potential of Machine Learning in Predicting Soil California Bearing Ratio Values
收藏 引用
PERIODICA POLYTECHNICA-CIVIL ENGINEERING 2025年 第2期69卷 551-566页
作者: Wu, Xu Lu, Feng He, Tao Nantong Inst Technol Dept BIM Res Nantong 226002 Peoples R China Nantong Huarong Construct Grp Co Ltd Nantong Jiangsu Peoples R China
Accurately predicting the California Bearing Ratio (CBR) of soil is vital for civil engineering projects as it determines soil strength and stability, crucial for designing safe and durable infrastructure. Conventiona... 详细信息
来源: 评论