Litcius/Paper detail

Forecast of glucose production from biomass wet torrefaction using statistical approach along with multivariate adaptive regression splines, neural network and decision tree

Wei‐Hsin Chen, Hsiu-Ju Lo, Ria Aniza, Bo-Jhih Lin, Young‐Kwon Park, Eilhann E. Kwon, Herng-Kuang Sheen, Laumar Alan Dave R. Grafilo

2022Applied Energy55 citationsDOI

Topics & Concepts

Multivariate adaptive regression splinesArtificial neural networkDecision treeTorrefactionBiomass (ecology)Mars Exploration ProgramBiofuelLinear regressionMathematicsMultivariate statisticsRegressionSulfuric acidRegression analysisStatisticsBiological systemMachine learningChemistryComputer scienceBayesian multivariate linear regressionEngineeringAgronomyWaste managementPyrolysisBiologyInorganic chemistryAstronomyPhysicsThermochemical Biomass Conversion ProcessesBiofuel production and bioconversionProcess Optimization and Integration
Forecast of glucose production from biomass wet torrefaction using statistical approach along with multivariate adaptive regression splines, neural network and decision tree | Litcius