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>Artificial Neural Networks (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases
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Artificial Neural Networks (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases
The paper presents artificial neural network models approximating concentration of selected nitrogen forms in wastewater after sequence bath reactor with aerobic granular activated sludge (GSBR) anaerobic and aerobic phase. Developed models reflected all the changes in concentration of studied nitrogen forms (r = 0.996–0.999). In models approximating Total N and N-NH4, variable most influencing calculations was nitrogen form at the beginning of anaerobic or aerobic phase.
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