Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks.
Dongkun ZhangLing GuoGeorge E. KarniadakisPublished in: CoRR (2019)
Keyphrases
- neural network
- learning algorithm
- learning process
- learning systems
- online learning
- unsupervised learning
- learning environment
- active learning
- incremental learning
- learning tasks
- learning problems
- connectionist systems
- hypothesis space
- learning capabilities
- neural nets
- recurrent neural networks
- feed forward
- space time
- supervised learning
- fuzzy logic
- pattern recognition
- artificial intelligence
- genetic algorithm