Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks.
Yihang GaoMichael K. NgPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- computer science
- generative model
- artificial neural networks
- uncertain data
- genetic algorithm
- pointwise
- feed forward
- back propagation
- data driven
- self organizing maps
- neural network model
- recurrent neural networks
- neural nets
- maximum likelihood
- unsupervised learning
- fault diagnosis
- conditional probabilities
- semi supervised
- prior knowledge
- training process
- artificial intelligence
- hopfield neural network