A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases.
Ginés RubioHéctor PomaresIgnacio RojasAlberto GuillénPublished in: IWINAC (2) (2005)
Keyphrases
- function approximation
- fuzzy rules
- symbolic regression
- genetic programming
- reinforcement learning
- rule base
- fuzzy systems
- fuzzy model
- fuzzy logic
- neuro fuzzy
- evolutionary computation
- fuzzy sets
- radial basis function
- membership functions
- learning tasks
- fuzzy controller
- software package
- gene expression programming
- fuzzy clustering
- active learning
- pattern recognition
- fuzzy control
- genetic algorithm