Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks.
Jason A. PlattStephen G. PennyTimothy A. SmithTse-Chun ChenHenry D. I. AbarbanelPublished in: CoRR (2023)
Keyphrases
- recurrent neural networks
- recurrent networks
- feedforward neural networks
- echo state networks
- neural network
- feed forward
- complex valued
- reservoir computing
- feed forward neural networks
- hidden layer
- cascade correlation
- artificial neural networks
- long short term memory
- neural model
- neural models
- training set
- training phase
- particle swarm optimization
- global consistency
- decision making
- hebbian learning
- real time
- chaotic time series
- training algorithm