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- W2893362875 abstract "Abstract This study evaluates the effectiveness of an artificial neural network-genetic algorithm (ANN-GA) artificial intelligence (AI) model in the prediction of behavior and optimization of an electro-oxidation pilot press-type reactor, which treats a synthetic wastewater prepared with a dye. The ANN was built from real experimental data using as input the following variables: time, flow, j, dye concentration, and as output discoloration. The performance of the ANN was measured with MAPE (8.3868%), calculated from real and predicted values. The coupled AI model was used to find the best operational conditions: discoloration efficiency (above 90%) at j = 27 mA/cm2 and dye concentration of 230 mg/L." @default.
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- W2893362875 date "2018-08-22" @default.
- W2893362875 modified "2023-10-15" @default.
- W2893362875 title "Genetic algorithm and artificial neural network model for prediction of discoloration dye from an electro-oxidation process in a press-type reactor" @default.
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- W2893362875 doi "https://doi.org/10.2166/wst.2018.370" @default.
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