A three-part input-output clustering-based approach to fuzzy system identification.
Shin-Jye LeeXiao-Jun ZengPublished in: ISDA (2010)
Keyphrases
- input output
- fuzzy neural network
- fuzzy controller
- fuzzy modeling
- fuzzy inference system
- fuzzy clustering
- clustering algorithm
- fuzzy model
- fuzzy logic controller
- internal states
- clustering method
- k means
- fuzzy logic
- noise cancellation
- membership functions
- fuzzy sets
- cluster analysis
- clustering analysis
- data envelopment analysis
- recurrent neural networks
- fuzzy control
- state transition
- nonlinear systems
- fuzzy rules
- nonlinear functions