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Updated: Jan 22, 2026

Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater
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Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater

Published on: March 6, 2017

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贝叶斯优化转移学习用于SBR系统中的氨预测:从家庭废水到工业混合废水的无知识转移

Qiu Cheng1, Li Qingchuan2, Huang Xingjun3

  • 1Chengdu Technological University, Chengdu, 611730, China, Sichuan Provincial Engineering Research Center of Small and Medium-sized Intelligent Wastewater Treatment Equipment, Chengdu, 611730, China.

Journal of environmental management
|January 20, 2026
PubMed
概括

这项研究引入了贝叶斯优化转移学习长期短期记忆 (BO-TL-LSTM) 模型,用于预测工业废水中的氨. 该模型有效地从家庭废水数据中转移知识,在有限的工业数据中实现高精度.

关键词:
贝叶斯优化是贝叶斯的优化.超参数调整 超参数调整工业混合废水 - 工业混合废水转移学习转移学习

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