Litcius/Paper detail

Accuracy of predictions made by machine learned models for biocrude yields obtained from hydrothermal liquefaction of organic wastes

Feng Cheng, Elizabeth R. Belden, Wenjing Li, Muntasir Shahabuddin, Randy Paffenroth, Michaël T. Timko

2022Chemical Engineering Journal49 citationsDOIOpen Access PDF

Topics & Concepts

Hydrothermal liquefactionMean squared errorRandom forestOutlierTest setData setOverfittingGeneralizability theoryYield (engineering)MulticollinearityHydrothermal carbonizationMathematicsEnvironmental scienceStatisticsComputer scienceBiological systemRegression analysisMachine learningArtificial neural networkBiofuelChemistryEngineeringWaste managementMaterials scienceOrganic chemistryAdsorptionCarbonizationBiologyMetallurgyThermochemical Biomass Conversion ProcessesSubcritical and Supercritical Water ProcessesPetroleum Processing and Analysis
Accuracy of predictions made by machine learned models for biocrude yields obtained from hydrothermal liquefaction of organic wastes | Litcius