Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models.
Sarvin MoradiNick JaenssonRoland TóthMaarten SchoukensPublished in: CoRR (2023)
Keyphrases
- neural network
- learning process
- learning algorithm
- learning rules
- accurate models
- prior knowledge
- learning models
- neural nets
- reinforcement learning
- structured prediction
- feedforward neural networks
- mathematical models
- learning systems
- connectionist systems
- online learning
- genetic algorithm
- active learning
- fuzzy logic
- error rate
- recurrent neural networks
- supervised learning
- computational models
- noise level
- probabilistic model
- neural network model
- computer science
- pattern recognition
- radial basis function network
- learned models
- e learning
- cascade correlation