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Predicting moisture content in kiln dried timbers using machine learning

Sohrab Rahimi, Stavros Avramidis

2022European Journal of Wood and Wood Products21 citationsDOI

Topics & Concepts

MoistureWater contentMultilayer perceptronKilnPopulationArtificial neural networkEnvironmental scienceMathematicsComputer scienceMachine learningMaterials scienceEngineeringComposite materialGeotechnical engineeringWaste managementSociologyDemographyWood Treatment and PropertiesCultural Heritage Materials AnalysisWood and Agarwood Research
Predicting moisture content in kiln dried timbers using machine learning | Litcius