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Updated: Jul 5, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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基于机器学习和日志线性回归的供水系统的三甲预测模型

Hui Li1, Yangyang Chu1, Yanping Zhu1

  • 1College of Environmental Science and Engineering, Donghua University, No. 2999 North Renmin Road, Shanghai, 201620, China.

Environmental geochemistry and health
|January 16, 2024
PubMed
概括

预测水中的三甲 (THM) 是至关重要的. 随机森林回归 (RFR) 模型有效地预测使用水质参数的总THM和特定化合物,提供更快的监测解决方案.

关键词:
消毒的副产品消毒的副产品机器学习算法 机器学习算法预测模型的预测模型.随机的森林随机的森林支持矢量回归的支持矢量回归

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