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Local approximate Gaussian process regression for data-driven constitutive models: development and comparison with neural networks

Jan N. Fuhg, Michele Marino, Nikolaos Bouklas

2021Computer Methods in Applied Mechanics and Engineering80 citationsDOIOpen Access PDF

Topics & Concepts

Artificial neural networkGaussian processHyperelastic materialParametric statisticsComputer scienceKrigingApplied mathematicsUncertainty quantificationMathematical optimizationGaussianAlgorithmComputational mechanicsComputationMathematicsMachine learningFinite element methodEngineeringStatisticsPhysicsStructural engineeringQuantum mechanicsModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignComposite Material Mechanics
Local approximate Gaussian process regression for data-driven constitutive models: development and comparison with neural networks | Litcius