Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Reference25 articles.
1. Abba SI, Elkiran G (2017) Effluent prediction of chemical oxygen demand from the wastewater treatment plant using artificial neural network application. Procedia Comput Sci 120:156–163. https://doi.org/10.1016/j.procs.2017.11.223
2. Abba SI, Usman AG, Danmaraya YA, Usman AG, Abdullahi HU (2020) Modeling of water treatment plant performance using artificial neural network: case study Tamburawa Kano-Nigeria. Dutse J Pure Appl Sci 6(3):135–144
3. Adeleye AS, Conway JR, Garner K, Huang Y, Su Y, Keller AA (2016) Engineered nanomaterials for water treatment and remediation: costs, benefits, and applicability. Chem Eng J 286:640–662. https://doi.org/10.1016/j.cej.2015.10.105
4. Alsulaili A, Refaie A (2021) Artificial neural network modeling approach for the prediction of five-day biological oxygen demand and wastewater treatment plant performance. Water Supply 21(5):1861–1877. https://doi.org/10.2166/ws.2020.199
5. Araromi DO, Majekodunmi OT, Adeniran JA, Salawudeen TO (2018) Modeling of an activated sludge process for effluent prediction—a comparative study using ANFIS and GLM regression. Environ Monit Assess 190(495):1–17. https://doi.org/10.1007/s10661-018-6878-x
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献