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Multifactor optimization for treatment of textile wastewater using complex salt–Luffa cylindrica seed extract (CS-LCSE) as coagulant: response surface methodology (RSM) and artificial intelligence algorithm (ANN–ANFIS)

Patrick Chukwudi Nnaji, Valentine Chikaodili Anadebe, Okechukwu Dominic Onukwuli, Chukwunonso Chukwuzuloke Okoye, Chiamaka Joan Ude

2022Chemical Papers27 citationsDOI

Topics & Concepts

Response surface methodologyAdaptive neuro fuzzy inference systemMean squared errorWastewaterCoefficient of determinationChemical oxygen demandBox–Behnken designArtificial neural networkMathematicsPulp and paper industryMachine learningEnvironmental engineeringEnvironmental scienceComputer scienceArtificial intelligenceEngineeringFuzzy logicFuzzy control systemStatisticsWater Quality Monitoring and Analysis
Multifactor optimization for treatment of textile wastewater using complex salt–Luffa cylindrica seed extract (CS-LCSE) as coagulant: response surface methodology (RSM) and artificial intelligence algorithm (ANN–ANFIS) | Litcius