Data-driven prediction and control of wastewater treatment process through the combination of convolutional neural network and recurrent neural network

It is widely believed that effective prediction of wastewater treatment results (WTR) is conducive to precise control of aeration amount in the wastewater treatment process (WTP). Conventional biochemical mechanism-driven approaches are highly dependent on complicated and redundant model parameters,...

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Detalles Bibliográficos
Autores principales: Guo, Zhiwei, Du, Boxin, Wang, Jianhui, Shen, Yu, Li, Qiao, Feng, Dong, Gao, Xu, Wang, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051414/
https://www.ncbi.nlm.nih.gov/pubmed/35493006
http://dx.doi.org/10.1039/d0ra00736f

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051414/
https://www.ncbi.nlm.nih.gov/pubmed/35493006
http://dx.doi.org/10.1039/d0ra00736f

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