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Fenugreek seeds and okra for the treatment of palm oil mill effluent (POME) – Characterization studies and modeling with backpropagation feedforward neural network (BFNN)

Isabelle Tay Sui Kim, Vasanthi Sethu, Senthil Kumar Arumugasamy, Anurita Selvarajoo

2020Journal of Water Process Engineering35 citationsDOI

Topics & Concepts

PomeTotal suspended solidsBackpropagationMean absolute percentage errorMathematicsChemical oxygen demandBroyden–Fletcher–Goldfarb–Shanno algorithmMean squared errorPulp and paper industryResponse surface methodologyFlocculationArtificial neural networkSewage treatmentEnvironmental scienceComputer scienceStatisticsEngineeringEnvironmental engineeringMachine learningComputer networkAsynchronous communicationEnhanced Oil Recovery TechniquesWater Quality Monitoring and AnalysisElectrohydrodynamics and Fluid Dynamics
Fenugreek seeds and okra for the treatment of palm oil mill effluent (POME) – Characterization studies and modeling with backpropagation feedforward neural network (BFNN) | Litcius