Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater
The performance of a packed bed reactor (PBR) containing immobilized sulphate reducing bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole electron donor, is demonstrated. The performance of the PBR system in terms of CO and sulphate removal efficiencies (%RECO...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2024-12-01
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| Serier: | Case Studies in Chemical and Environmental Engineering |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2666016424001877 |
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