Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks.
Olga GrafPablo FloresPavlos ProtopapasKarim PicharaPublished in: CoRR (2022)
Keyphrases
- neural network
- decision theory
- dempster shafer
- error rate
- measurement errors
- measurement noise
- pattern recognition
- genetic algorithm
- artificial intelligence
- fuzzy logic
- measurement error
- decision making
- bayesian networks
- artificial neural networks
- bayesian estimation
- error bounds
- incomplete information
- fault diagnosis
- computer science
- bayesian learning
- rule extraction
- quantum mechanics
- error detection
- feed forward
- bayesian analysis
- expected utility
- belief functions
- network architecture
- fuzzy systems
- posterior distribution
- multi layer
- neural network model
- back propagation
- maximum likelihood
- machine learning