Modelling and optimisation of activated sludge process using artificial neural networks and genetic algorithms
Mathematical modelling of the activated sludge process (ASP) was performed using multi-layer perceptron neural networks (MLP-ANN) to predict effluent water quality parameters and multi-objective genetic algorithm (MOGA) was employed to optimise influent water quality parameters so that the concentra...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Serbian Chemical Society
2026-01-01
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| Col·lecció: | Journal of the Serbian Chemical Society |
| Matèries: | |
| Accés en línia: | https://doiserbia.nb.rs/img/doi/0352-5139/2026/0352-51392600008S.pdf |
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