Nonlinear state-space modeling using recurrent multilayer perceptrons with unscented Kalman filter.
Jongsoo ChoiTet Hin YeapMartin BouchardPublished in: SMC (4) (2004)
Keyphrases
- multilayer perceptron
- state space
- unscented kalman filter
- extended kalman filter
- neural network
- hidden layer
- back propagation
- particle filter
- artificial neural networks
- feed forward
- radial basis function
- kalman filter
- image sequences
- recurrent neural networks
- reinforcement learning
- state estimation
- motion estimation
- dynamical systems
- visual tracking
- mobile robot
- image processing
- decision making
- real time