An efficient model for predicting the train-induced ground-borne vibration and uncertainty quantification based on Bayesian neural network
Ruihua Liang, Weifeng Liu, Meng Ma, Weining Liu
Topics & Concepts
Uncertainty quantificationRandomnessVibrationBayesian probabilityBayesian inferenceArtificial neural networkProbabilistic logicPosterior probabilityComputer scienceProbability distributionSensitivity analysisGaussianGaussian processNoise (video)Uncertainty analysisMathematicsArtificial intelligenceMachine learningStatisticsSimulationAcousticsPhysicsImage (mathematics)Quantum mechanicsRailway Engineering and DynamicsAsphalt Pavement Performance EvaluationStructural Health Monitoring Techniques