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Updated: May 22, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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使用机器学习和置信区间,对空间变化的土壤中活性土压的概率分析

Tran Vu-Hoang1, Tan Nguyen2, Jim Shiau3

  • 1Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

Scientific reports
|March 15, 2025
PubMed
概括

本研究提出了一个概率框架来评估土壤压力,使用随机场结合空间变化. 机器学习模型预测故障概率,增强地质技术设计,以提高可靠性和成本效益.

关键词:
置信区间的置信区间地球的压力压力地球的压力极限分析 极限分析机器学习是机器学习.概率分析可能性分析.随机场是一个随机场.空间可变性 空间可变性

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