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Artificial neural network based models for predicting the effluent quality of a combined upflow anaerobic sludge blanket and facultative pond: Performance evaluation and comparison of different algorithms

Narendra Khatri, Ajay Kumar Vyas, Antar Shaddad H. Abdul-Qawy, Eldon R. Rene

2022Environmental Research35 citationsDOI

Topics & Concepts

Kjeldahl methodEffluentChemical oxygen demandBiochemical oxygen demandBackpropagationTotal suspended solidsMean squared errorEnvironmental scienceArtificial neural networkEnvironmental engineeringCoefficient of determinationWater qualityWastewaterMathematicsNitrogenMachine learningComputer scienceChemistryStatisticsEcologyBiologyOrganic chemistryWater Quality Monitoring TechnologiesHydrological Forecasting Using AIWastewater Treatment and Nitrogen Removal
Artificial neural network based models for predicting the effluent quality of a combined upflow anaerobic sludge blanket and facultative pond: Performance evaluation and comparison of different algorithms | Litcius