Use of artificial neural network and adaptive neuro-fuzzy inference system for prediction of biogas production from spearmint essential oil wastewater treatment in up-flow anaerobic sludge blanket reactor

[Display omitted] •Pollutants removal performance and biogas production of SEOW using UASB studied.•Best BP-ANN topology for predicting biogas production in UASB was 10-6-7-1.•Best ANFIS topology was a three layer ANFIS structure with eight ANFIS sub-networks.•Two AI-based models validation examined...

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Veröffentlicht in:	Fuel (Guildford) 2021-12, Vol.306, p.121734, Article 121734
Hauptverfasser:	Heydari, Bahman, Abdollahzadeh Sharghi, Elham, Rafiee, Shahin, Mohtasebi, Seyed Saeid
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive neuro-fuzzy inference system Adaptive systems Alkalinity Anaerobic treatment Artificial intelligence Artificial neural network Artificial neural networks Back propagation networks Biogas Biogas production Chemical oxygen demand Effluents Errors Essential oils Fatty acids Fuzzy logic Grease Inference Multilayers Neural networks Oils & fats Phenols Reactors Sludge Solid suspensions Spearmint essential oil wastewater Suspended solids Turbidity Up-flow anaerobic sludge blanket Upflow anaerobic sludge blanket reactors Volatile fatty acids Wastewater treatment
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