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Updated: Jul 22, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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使用机器学习方法优化水质指数模型

Fei Ding1, Wenjie Zhang1, Shaohua Cao2

  • 1Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.

Water research
|July 20, 2023
PubMed
概括

这项研究使用机器学习和游戏理论来提高水质指数 (WQI) 模型的精度. 新的聚合功能减少了模型的不确定性,为河流流域提供了更好的水质评估.

关键词:
查波伊河流域 查波伊河流域组合的重量是重量的总和.游戏理论的游戏理论.轻GBMM 轻GBM 轻GBM 轻GBM机器学习 机器学习评估水质水质的评估.

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