Symplectic learning for Hamiltonian neural networks.
Marco DavidFlorian MéhatsPublished in: J. Comput. Phys. (2023)
Keyphrases
- neural network
- learning process
- learning scheme
- neural nets
- learning algorithm
- data sets
- cascade correlation
- learning rules
- learning problems
- real time
- pattern recognition
- neural network model
- error back propagation
- learning capabilities
- machine learning
- learning environment
- inductive learning
- recurrent neural networks
- prior knowledge
- artificial neural networks
- learning tasks
- mobile learning
- learning experience
- learning systems
- back propagation
- sufficient conditions