Real-time prediction of the chemical oxygen demand component parameters in activated sludge model using backpropagation neural network
- DOI
- 10.1016/j.heliyon.2024.e35580
- Published
- 2024-08
- Container
- Heliyon
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2024.e35580,
title = {Real-time prediction of the chemical oxygen demand component parameters in activated sludge model using backpropagation neural network},
author = {Ping Wang and Yanqiong Chen and Chen Zhang and Yuzhen Shi and Bin Wang and Chaochao Lai and Huan He and Bin Huang},
year = {2024},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2024.e35580},
url = {https://doi.org/10.1016/j.heliyon.2024.e35580}
}RIS
TY - JOUR TI - Real-time prediction of the chemical oxygen demand component parameters in activated sludge model using backpropagation neural network AU - Ping Wang AU - Yanqiong Chen AU - Chen Zhang AU - Yuzhen Shi AU - Bin Wang AU - Chaochao Lai AU - Huan He AU - Bin Huang PY - 2024 JO - Heliyon DO - 10.1016/j.heliyon.2024.e35580 UR - https://doi.org/10.1016/j.heliyon.2024.e35580 ER -
APA
Wang, P., Chen, Y., Zhang, C., Shi, Y., Wang, B., Lai, C., He, H., & Huang, B. (2024). Real-time prediction of the chemical oxygen demand component parameters in activated sludge model using backpropagation neural network. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e35580
Source records
- crossref · retrieved 2026-09-25T15:24:37.944Z