Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels.
Weihao SongZidong WangZhongkui LiQing-Long HanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- state estimation
- particle filter
- artificial neural networks
- kalman filter
- state space model
- particle filtering
- neural network
- object tracking
- back propagation
- visual tracking
- bayesian networks
- probabilistic model
- kalman filtering
- dynamic systems
- mean shift
- dynamic model
- appearance model
- data fusion
- generative model
- multiresolution
- image sequences
- genetic algorithm