Path sampling of recurrent neural networks by incorporating known physics.
Sun-Ting TsaiEric FieldsPratyush TiwaryPublished in: CoRR (2022)
Keyphrases
- recurrent neural networks
- neural network
- recurrent networks
- feed forward
- complex valued
- computer science
- neural model
- echo state networks
- artificial neural networks
- feedforward neural networks
- hebbian learning
- shortest path
- cascade correlation
- monte carlo
- sampling algorithm
- reservoir computing
- parameter space
- artificial intelligence
- long short term memory
- nonlinear dynamic systems
- sample size
- learning algorithm
- chaotic time series
- sampling methods
- expert systems