Non-Euclidean Contractivity of Recurrent Neural Networks.
Alexander DavydovAnton V. ProskurnikovFrancesco BulloPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- neural network
- euclidean space
- feed forward
- euclidean distance
- neural model
- complex valued
- recurrent networks
- feedforward neural networks
- echo state networks
- hebbian learning
- hidden layer
- reservoir computing
- artificial neural networks
- cascade correlation
- long short term memory
- multi dimensional scaling
- feed forward neural networks
- learning algorithm
- neural models
- nonlinear dynamic systems
- computational intelligence
- machine learning