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在稀疏数据中探索连续性信息:以机制为基础的数据增强策略,以提高Anammox过程模型的预测准确性

Yinan Bu1, Yueqi Wang1, Yafang Fan1

  • 1Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou 570228, China.

Bioresource technology
|February 16, 2026
PubMed
概括

本研究引入了一个基于机制的数据增强 (MIDA) 框架,以提高无氧氧化 (Anammox) 过程的机器学习模型准确性. MIDA有效地解决了数据稀缺问题,增强了废水处理过程的过程控制.

关键词:
无氧氨氧化氧化无氧氨氧化.机器学习 机器学习信息化的数据增加机制.污水处理 污水处理 污水处理

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