On global asymptotic stability of fully connected recurrent neural networks.
Danilo P. MandicJonathon A. ChambersMilorad M. BozicPublished in: ICASSP (2000)
Keyphrases
- recurrent neural networks
- fully connected
- asymptotic stability
- sufficient conditions
- activation function
- neural network
- feed forward
- echo state networks
- hidden layer
- closed loop
- artificial neural networks
- neuro fuzzy
- conditional random fields
- scale free
- genetic algorithm
- bayesian networks
- decision making
- artificial intelligence
- machine learning