Machine learning application for predicting key properties of activated carbon produced from lignocellulosic biomass waste with chemical activation
Rongge Zou, Zhibin Yang, Jiahui Zhang, Ryan Lei, W Zhang, Fitria Fnu, Daniel C.W. Tsang, Joshua S. Heyne, Xiao Zhang, Roger Ruan, Hanwu Lei
Topics & Concepts
Gradient boostingYield (engineering)Boosting (machine learning)Activated carbonBiomass (ecology)Response surface methodologyComputer scienceLignocellulosic biomassEnvironmental sciencePulp and paper industryChemistryMachine learningProcess engineeringBiofuelMaterials scienceEngineeringRandom forestWaste managementBiologyAgronomyOrganic chemistryComposite materialAdsorptionThermochemical Biomass Conversion ProcessesEnvironmental Impact and SustainabilityNatural Fiber Reinforced Composites