Evaluating the predictive potential of RSM and ANN models in treatment of greywater-syrup mixture using Ekowe clay-PEM microbial fuel cell
This study provides a comparative evaluation of the ability of response surface methodology (RSM) and artificial neural network (ANN) to predict the performance of microbial fuel cell (MFC) driven by greywater-syrup substrate system as anolyte with respect to power generation and wastewat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academia.edu Journals
2024-07-01
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| Series: | Academia Green Energy |
| Online Access: | https://www.academia.edu/121898776/Evaluating_the_predictive_potential_of_RSM_and_ANN_Techniques_in_treatment_of_greywater_syrup_mixture_using_Ekowe_clay_PEM_microbial_fuel_cell |
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