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Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models

Julen Mendikute, M. Baskaran, Iñigo Llavori, Ekhi Zugasti, L. Aretxabaleta, J. Aurrekoetxea

2023Composites Part B Engineering18 citationsDOI

Topics & Concepts

HyperparameterHyperparameter optimizationComputer scienceRegressionRandom forestSurrogate modelMachine learningRegression analysisProcess (computing)Artificial intelligenceGridTransfer of learningDisplacement (psychology)Data miningSupport vector machineMathematicsStatisticsGeometryPsychologyOperating systemPsychotherapistInfrastructure Maintenance and MonitoringAsphalt Pavement Performance EvaluationNon-Destructive Testing Techniques
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models | Litcius