On the global output convergence of a class of recurrent neural networks with time-varying inputs.
Sanqing HuDerong LiuPublished in: Neural Networks (2005)
Keyphrases
- recurrent neural networks
- recurrent networks
- neural network
- feed forward
- complex valued
- echo state networks
- cascade correlation
- feedforward neural networks
- reservoir computing
- input data
- linear complementarity problem
- hidden layer
- number of iterations required
- nonlinear dynamic systems
- neural model
- input variables
- hebbian learning
- long short term memory
- activation function
- artificial neural networks