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Iranian association of environmental health (IAEH)
Avicenna J Environ Health Eng
. 2019;6(2): 92-99. doi:
10.34172/ajehe.2019.12
Original Article
Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models
Maryam Bayat Varkeshi
1
, Kazem Godini
2
, Mohammad ParsiMehr
3
*
, Maryam Vafaee
1
Cited by CrossRef: 3
1- Imen S, Croll H, McLellan N, Bartlett M, Lehman G, Jacangelo J. Application of machine learning at wastewater treatment facilities: a review of the science, challenges and barriers by level of implementation.
Environmental Technology Reviews
. 2023;12(1):493
[Crossref]
2- Ibrahim M, Haider A, Lim J, Mainali B, Aslam M, Kumar M, Shahid M. Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective.
Chemosphere
. 2024;362:142860
[Crossref]
3- Ismail R. Improving wastewater treatment plant performance: an ANN-based predictive model for managing average daily overflow and resource allocation optimization using Tabu search.
Asian J Civ Eng
. 2024;25(2):1427
[Crossref]
4- Nagpal M, Siddique M, Sharma K, Sharma N, Mittal A. Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects. 2024;90(3):731
[Crossref]
