Artificial Neural Networks (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases

Piotr Ofman , Joanna Struk-Sokołowska


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
Author Piotr Ofman (FCEE / DTSEE)
Piotr Ofman,,
- Department of Technologies and Systems in Environmental Engineering
, Joanna Struk-Sokołowska (FCEE / DTSEE)
Joanna Struk-Sokołowska,,
- Department of Technologies and Systems in Environmental Engineering
Journal seriesProceedings, ISSN , e-ISSN 2504-3900, (0 pkt)
Issue year2019
Publication size in sheets0.5
ConferenceInnovations-Sustainability-Modernity-Openness Conference (ISMO'19), 22-05-2019 - 23-05-2019, Białystok, Polska
Keywords in EnglishGSBR; ANN model; nitrogen removal
Internal identifierROC 19-20
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 5.0, 12-02-2020, ArticleFromJournal
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