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Updated: Sep 15, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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使用贝叶斯优化随机森林模型预测loess倒塌系数

Wan Zhang1, Jiangtao Guo1, Zhaopeng Li1

  • 1College of Architecture Engineering, Yangling Vocational & Technical College, Yangling, 712100, Shaanxi, China.

Scientific reports
|July 12, 2025
PubMed
概括

预测loess的折叠系数对于工程安全至关重要. 这项研究使用贝叶斯优化和机器学习,发现随机森林模型准确地预测了loess可折叠性.

关键词:
贝叶斯优化是贝叶斯的优化.崩性系数的发生率.这就是Loess Loess.预测 预测 预测随机的森林随机的森林

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