Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm.
José de Jesús RubioWen YuPublished in: Neurocomputing (2007)
Keyphrases
- kalman filter
- recurrent neural networks
- kalman filtering
- target tracking
- neural network
- learning algorithm
- state estimation
- dynamic programming
- search space
- mathematical model
- feed forward
- convergence rate
- object tracking
- multiscale
- extended kalman filter
- path planning
- weight update
- three dimensional
- image segmentation
- machine learning