Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates.
Weipeng TaiXinling LiJianping ZhouSabri ArikPublished in: Neural Networks (2023)
Keyphrases
- neural network
- markov processes
- state transition
- markov chain
- artificial neural networks
- back propagation
- neural network model
- stochastic process
- pattern recognition
- multilayer perceptron
- hopfield neural network
- markov model
- multi layer
- fault diagnosis
- stochastic nature
- feed forward
- machine learning
- markov process
- hidden markov models
- monte carlo
- stochastic model
- learning rules
- adaptive resonance theory
- genetic algorithm
- stochastic optimization
- decision trees
- fuzzy logic
- training algorithm
- neural nets
- recurrent neural networks
- data sets
- self organizing maps