Finite-time state estimation for jumping recurrent neural networks with deficient transition probabilities and linear fractional uncertainties.
Yuqiang LuoBaoye SongJinling LiangAbdullah M. DobaiePublished in: Neurocomputing (2017)
Keyphrases
- recurrent neural networks
- state estimation
- transition probabilities
- linear fractional
- markov chain
- simplex method
- markov models
- random walk
- particle filter
- kalman filter
- kalman filtering
- neural network
- feed forward
- visual tracking
- dynamic systems
- echo state networks
- linear programming
- artificial neural networks
- hidden variables
- markov model
- maximum likelihood
- bayesian inference
- maximum entropy
- reward function
- markov decision process
- hidden markov models