A TSK-type Recurrent Fuzzy Network for Dynamic Systems Processing Via Supervised and Reinforcement Learning.
Chia-Feng JuangYuan-Chang LiouPublished in: FUZZ-IEEE (2001)
Keyphrases
- dynamic systems
- reinforcement learning
- fuzzy rules
- fuzzy logic
- takagi sugeno kang
- complex systems
- fuzzy modeling
- qualitative reasoning
- discrete event
- function approximation
- learning algorithm
- fuzzy model
- fuzzy inference system
- consistency based diagnosis
- dynamical systems
- recurrent networks
- machine learning
- recurrent neural networks
- network structure
- membership functions
- fuzzy sets
- neuro fuzzy
- network model
- fuzzy systems
- fuzzy numbers
- state estimation
- semi supervised
- multiple types
- supervised learning
- fuzzy neural network
- model based diagnosis
- wireless sensor networks
- state space
- linear time invariant
- ordinary differential equations
- markov decision processes
- state variables
- qualitative models
- particle filter
- back propagation
- control system
- search algorithm
- neural network
- fuzzy clustering