Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds.
Derong LiuSanqing HuJun WangPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2004)
Keyphrases
- recurrent neural networks
- neural network
- complex valued
- recurrent networks
- echo state networks
- linear complementarity problem
- reservoir computing
- feed forward
- hidden layer
- iterative learning control
- neural model
- artificial neural networks
- feedforward neural networks
- long term
- long short term memory
- real time
- convergence rate
- dynamical systems
- markov chain
- nonlinear dynamic systems
- machine learning