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The bio-hydrogen producing process has complex interactions; thus, constructing a detailed mechanistic model and proper control architecture is difficult. Artificial neural networks (ANNs) are capable of inferring the complex relationships between input and output process variables without a detailed characterization of the mechanisms governing the process. This work presented a novel ANN that accurately...
Biohydrogen production with simultaneous wastewater treatment was studied in continuous stirred-tank reactor (CSTR) using beet sugar wastewater as substrate. Aerobic activated sludge was used as parent inoculum to startup the bioreactor. The reactor started up under the condition of influent COD concentration 4000 mg/L, pH 7, HRT 8 h and (35??1)??C, with a biomass of 6.09 g/L activated sludge in term...
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