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Updated: May 10, 2025

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贝叶斯优化的递归机器学习用于预测悬浮沉积物运输中人类诱导的变化

Soumya Kundu1, Somil Swarnkar2, Akshay Agarwal3

  • 1Department of Earth and Environmental Sciences, IISER Bhopal, Madhya Pradesh, Bhopal, Pin - 462066, India.

Environmental monitoring and assessment
|April 26, 2025
PubMed
概括

像水建设这样的人类活动显著减少了河流沉积物负载,影响了水资源和生态系统. 机器学习模型,特别是额外的树回归器,在预测悬浮沉积物负载方面表现出高准确性.

关键词:
人类干预是人类的干预.机器学习是机器学习.递归预测;贝叶斯式优化悬浮沉积物负载的悬浮沉积物负载基于树的模型.

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