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Updated: Sep 12, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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在水电厂转移机器学习模型中,利用场景差异进行跨任务概括.

Yu-Qi Wang1, Xiao-Qin Luo1, Han-Bo Zhou1

  • 1State Key Laboratory of Urban Water Resource and Environment, School of Eco-Environment, Harbin Institute of Technology, Shenzhen, 518055, China.

Environmental science and ecotechnology
|August 5, 2025
PubMed
概括

本研究介绍了一个环境信息适应转移网络 (EIATN),以提高机器学习 (ML) 模型在城市水系统中的可转移性. EIATN利用场景差异进行更好的概括,减少再培训需求和碳排放.

关键词:
饮用水的处理方法模型的一般化模型.转移学习转移学习城市用水系统城市用水系统污水处理 污水处理 污水处理

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