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Updated: Jun 18, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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混合集体学习和平衡优化的应用,用于估计城市固体废物的阻尼比率

Hossein Moradi Moghaddam1, Mohsen Keramati2, Alireza Bahrami3

  • 1School of Engineering, University of British Columbia, Kelowna, Canada. hmoradi8@student.ubc.ca.

Scientific reports
|July 30, 2024
PubMed
概括

这项研究开发了先进的机器学习模型,以预测城市固体废物 (MSW) 的阻尼率. 梯度增强回归树与平衡优化算法 (GBRT-EOA) 模型在预测MSW阻尼特性方面表现出卓越的准确性.

关键词:
缓冲 缓冲是一种缓冲.组合学习者学习者平衡优化器算法平衡优化器算法机器学习是机器学习.城市固体废物城市固体废物三轴循环测试三轴循环测试

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