Geometric sparsification in recurrent neural networks.
Wyatt MackeyIoannis D. SchizasJared DeightonDavid L. BootheVasileios MaroulasPublished in: CoRR (2024)
Keyphrases
- recurrent neural networks
- neural network
- feed forward
- neural model
- reservoir computing
- recurrent networks
- echo state networks
- complex valued
- cascade correlation
- nonlinear dynamic systems
- hidden layer
- geometric information
- feedforward neural networks
- long short term memory
- hebbian learning
- artificial neural networks
- geometric structure
- least squares
- long term
- radial basis function
- pose estimation
- chaotic time series
- decision making
- genetic algorithm