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Stacked denoising auto-encoders (SDAE) deep learning network was used to predict the performance of a two-stage biofilm system, which was constructed based on traditional anaerobic/oxic process. Eight input variables were adopted for performance predicting, including concentrations of chemical oxygen demand (COD), ammonia (NH4+-N) and total nitrogen (TN) of biofilm system influent, concentrations...
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