Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm
Bamidele Victor Ayodele, Siti Indati Mustapa, Ramesh Kanthasamy, Norsyahida Mohammad, Abdulaziz Alturki, Thanikanti Sudhakar Babu
Topics & Concepts
SyngasBiomass (ecology)Palm oilProcess engineeringCatalysisComputer scienceProcess (computing)AlgorithmHydrogenSupport vector machineHydrogen productionSequential quadratic programmingPulp and paper industryEnvironmental scienceQuadratic programmingChemistryMathematical optimizationMathematicsEngineeringOrganic chemistryMachine learningOceanographyAgroforestryGeologyOperating systemThermochemical Biomass Conversion ProcessesBiodiesel Production and ApplicationsEnergy and Environment Impacts