Convolutional neural network–multi-kernel radial basis function neural network–salp swarm algorithm: a new machine learning model for predicting effluent quality parameters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-29406-8.pdf
Reference41 articles.
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3. Ansari M, Othman F, El-Shafie A (2020) Optimized fuzzy inference system to enhance prediction accuracy for influent characteristics of a sewage treatment plant. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2020.137878
4. Atif SM, Khan S, Naseem I, Togneri R, Bennamoun M (2023) Multi-kernel fusion for rbf neural networks. Neural Process Lett. https://doi.org/10.1007/s11063-022-10925-3
5. Bagherzadeh F, Mehrani MJ, Basirifard M, Roostaei J (2021) Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance. J Water Process Eng. https://doi.org/10.1016/j.jwpe.2021.102033
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