期刊首页 优先出版 当期阅读 过刊浏览 作者中心 关于期刊 English

《环境科学与工程前沿(英文)》 >> 2024年 第18卷 第2期 doi: 10.1007/s11783-024-1780-y

Online soft measurement for wastewater treatment system based on hybrid deep learning

1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;4. SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd., Qingyuan 511517, China;2. Fujian Environmental Protection Design Institute Co. Ltd., Fuzhou 350000, China;2. Fujian Environmental Protection Design Institute Co. Ltd., Fuzhou 350000, China;2. Fujian Environmental Protection Design Institute Co. Ltd., Fuzhou 350000, China;1. SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, China;3. Huashi (Fujian) Environment Technology Co. Ltd., Quanzhou, 362001, China;5. Econ Technology Co. Ltd., Yantai 265503, China

收稿日期: 2023-03-12 发布日期: 2023-03-12

下一篇 上一篇

摘要

● A hybrid model is proposed to overcome limitations of single model with time series.

相关研究