Orthogonal Recurrent Neural Networks with Scaled Cayley Transform.
Kyle HelfrichDevin WillmottQiang YePublished in: CoRR (2017)
Keyphrases
- recurrent neural networks
- neural network
- feed forward
- orthogonal polynomials
- echo state networks
- recurrent networks
- polar coordinates
- complex valued
- artificial neural networks
- hidden layer
- reservoir computing
- feedforward neural networks
- long short term memory
- cascade correlation
- neural model
- hebbian learning
- lapped transforms
- artificial intelligence
- orthogonal projection
- machine learning
- mathematical model
- fuzzy logic
- long term
- nonlinear dynamic systems
- real time