Stochastically asymptotic stability of delayed recurrent neural networks with both Markovian jump parameters and nonlinear disturbances.
Quanxin ZhuXinsong YangHongchu WangPublished in: J. Frankl. Inst. (2010)
Keyphrases
- recurrent neural networks
- asymptotic stability
- nonlinear dynamic systems
- echo state networks
- neural model
- feed forward
- neural network
- sufficient conditions
- maximum likelihood
- closed loop
- recurrent networks
- hidden layer
- reservoir computing
- power system
- neuro fuzzy
- ordinary differential equations
- robust stability
- back propagation
- learning algorithm