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Artificial neural network modeling for removing contaminants from wastewater
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DOI：10.1016/j.cherd.2026.07.010.png)
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Abstract
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• This study supports AI-based optimization for sustainable wastewater treatment • ANN outperformed RSM in predicting swine wastewater treatment efficiency • ANN achieved excellent accuracy with R2 = 0.9865 for removal predictions • Optimal dose of 10.146 mL/L and pH=1.806 maximized pollutant removal rates
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