Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks.
Nicholas GenevaNicholas ZabarasPublished in: J. Comput. Phys. (2019)
Keyphrases
- probabilistic model
- neural network
- neural network model
- experimental data
- metamodel
- hybrid model
- computational model
- parametric models
- accurate models
- analytical model
- autoregressive
- multiple models
- pattern recognition
- parameter estimation
- robust optimization
- prior knowledge
- artificial neural networks
- posterior probability
- multi layer
- linear model
- generic model
- prior probabilities
- computational models
- bayesian models
- neural models
- difference equations
- modeling framework
- decision theory
- bayesian framework
- partial differential equations
- statistical models
- mathematical model
- process model
- fuzzy logic
- high level