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Updated: Jul 22, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

一个知识-数据融合框架加速了深度强化学习,用于实时控制城市排水系统

Wenchong Tian1, Zhiyu Zhang2, Xuan Wang3

  • 1School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China; State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong SAR, China; Shenzhen Research Institute, City University of Hong Kong, China.

Water research
|November 9, 2025
PubMed
概括

城市排水系统 (UDS) 的深度强化学习 (DRL) 通过新的知识数据融合框架得到了增强. 这种方法大大减少了培训时间,同时保持了对洪水和综合下水道溢出 (CSO) 的有效控制.

关键词:
深度强化学习的学习.知识与数据的融合是知识与数据的融合.城市排水系统城市排水系统城市洪水和结合下水道溢出.

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