and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity.
Shicheng HuoMengshen ChenHao ShenPublished in: Neurocomputing (2017)
Keyphrases
- state estimation
- neural network
- markov chain
- multiple sensors
- multi sensor
- kalman filter
- particle filter
- pattern recognition
- dynamic systems
- state space model
- sensor data
- visual tracking
- kalman filtering
- extended kalman filter
- particle filtering
- sensor fusion
- data fusion
- multilayer perceptron
- three dimensional
- complex systems
- back propagation
- image classification
- search algorithm
- computer vision
- machine learning