COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals.
Ananda SutradharAzam Asilian BidgoliShahryar RahnamayanPublished in: CEC (2024)
Keyphrases
- eeg signals
- multi objective
- feature selection
- linear discriminant classifier
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- brain computer interface
- fold cross validation
- signal processing
- objective function
- text categorization
- healthy subjects
- particle swarm optimization
- genetic algorithm
- feature extraction
- nsga ii
- multiple objectives
- feature set
- brain activity
- motor imagery
- extracted features
- feature space
- feature selection algorithms
- electrical activity
- support vector
- conflicting objectives
- feature subset
- multi objective optimization problems
- classification accuracy
- eeg data
- high dimensional
- brain signals
- machine learning
- multi objective evolutionary algorithms
- data sets
- pattern recognition