: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems.
María José GactoMarta GalendeRafael AlcaláFrancisco HerreraPublished in: Inf. Sci. (2014)
Keyphrases
- fuzzy systems
- regression problems
- fuzzy rules
- fuzzy model
- high dimensional
- multiobjective evolutionary algorithm
- input space
- high dimensional data
- genetic programming
- evolutionary computation
- fuzzy modeling
- linear regression
- cross validation
- rule base
- fuzzy inference system
- multi objective
- multiobjective optimization
- neuro fuzzy
- neural network
- fuzzy logic
- computational intelligence
- soft computing
- membership functions
- fuzzy sets
- input output
- low dimensional
- dimensionality reduction
- model selection
- data points
- evolutionary algorithm
- hyperparameters
- learning machines
- parameter space
- nearest neighbor
- feature space
- feature selection
- fuzzy clustering
- error rate
- artificial neural networks
- artificial immune system
- pattern recognition
- least squares
- feature extraction