Modeling of effluent COD in UAF reactor treating cyanide containing wastewater using artificial neural network approaches

DOI10.1016/J.ADVENGSOFT.2010.04.002zbMath1432.92002DBLPjournals/aes/YilmazSY10OpenAlexW2015280929WikidataQ56934741 ScholiaQ56934741MaRDI QIDQ994250

Galip Seckin, Ahmet Yuceer, Turan Yilmaz

Publication date: 17 September 2010

Published in: Advances in Engineering Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2010.04.002

zbMATH Keywords

modellingartificial neural networksinhibitionwaste water treatmentanaerobic treatmentcyanide

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Ecology (92D40) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Cites Work

• Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin
• Artificial neural network approaches for prediction of backwater through arched bridge constrictions
• Comparison of an ANN approach with 1-D and 2-D methods for estimating discharge capacity of straight compound channels
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