Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations.
Maximilian MüllerRobin GreifFrank JenkoNils ThuereyPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- monte carlo sampling
- artificial neural networks
- multi layer
- stochastic optimization
- bayesian learning
- fuzzy logic
- data driven
- bayesian estimation
- recurrent neural networks
- feed forward
- multilayer perceptron
- learning automata
- bayesian inference
- neural network model
- monte carlo
- bayesian networks
- simulation model
- neural nets
- numerical simulations
- simulation environment
- fault diagnosis
- stochastic model
- stochastic processes
- back propagation
- training data
- stochastic programming
- image sequences