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Development of ternary models for prediction of biogas yield in a novel modular biodigester: a case of fuzzy Mamdani model (FMM), artificial neural network (ANN), and response surface methodology (RSM)

Modestus O. Okwu, Olusegun David Samuel, Omonigho B. Otanocha, Lagouge K. Tartibu, Henry O. Omoregbee, Victor M. Mbachu

2020Biomass Conversion and Biorefinery43 citationsDOI

Topics & Concepts

Mean squared errorBiogasResponse surface methodologyArtificial neural networkCoefficient of determinationMathematicsRange (aeronautics)Fuzzy logicAbsolute deviationYield (engineering)Approximation errorModular designBiological systemMean absolute percentage errorStatisticsMachine learningComputer scienceEngineeringArtificial intelligenceMaterials scienceWaste managementAerospace engineeringOperating systemBiologyMetallurgyAnaerobic Digestion and Biogas ProductionThermochemical Biomass Conversion ProcessesVehicle emissions and performance
Development of ternary models for prediction of biogas yield in a novel modular biodigester: a case of fuzzy Mamdani model (FMM), artificial neural network (ANN), and response surface methodology (RSM) | Litcius