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Updated: Jul 12, 2025

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机器学习并行系统用于整合过程模型校准和在下水道-河流系统的精度提升.

Yundong Li1,2, Lina Ma1, Jingshui Huang2

  • 1State Key Laboratory of Urban Water Resource and Environment (SKLUWRE), School of Environment, Harbin Institute of Technology, Harbin, 150090, China.

Environmental science and ecotechnology
|October 20, 2023
PubMed
概括

一个新的机器学习并行系统 (MLPS) 加快了使用有限数据的复杂水模型的参数优化. 这种方法显著提高了准确性,并减少了综合城市水资源管理的校准时间.

关键词:
这就是ACO ACO ACO.综合下水道河流模型这是LSTM的LSTM.污水WWTP河流系统控制水污染的战略

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