Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems.
María José GactoMarta GalendeRafael AlcaláFrancisco HerreraPublished in: FUZZ-IEEE (2013)
Keyphrases
- rule based systems
- regression problems
- evolutionary learning
- obtaining accurate
- multi objective
- high dimensional
- evolutionary computation
- genetic programming
- evolutionary algorithm
- input space
- high dimensional data
- low dimensional
- linear regression
- cross validation
- genetic algorithm
- rule base
- dimensionality reduction
- knowledge representation
- expert systems
- objective function
- data points
- fitness function
- multi task
- learning machines
- feature space
- knowledge based systems
- nearest neighbor
- model selection
- random forests
- data sets
- feature selection
- decision making
- fuzzy logic
- support vector machine
- hyperparameters
- training set
- reinforcement learning
- decision table
- data analysis
- computational intelligence
- knowledge acquisition