Classification of EEG Signals Based on GA-ELM Optimization Algorithm.
Weiguo ZhangLin LuAbdelkader Nasreddine BelkacemJiaxin ZhangPenghai LiJun LiangChangming WangChao ChenPublished in: HBAI@IJCAI (2022)
Keyphrases
- optimization algorithm
- eeg signals
- multi objective
- optimization method
- particle swarm optimization pso
- differential evolution
- signal processing
- particle swarm optimisation
- brain computer interface
- optimization strategy
- eeg data
- genetic algorithm ga
- extreme learning machines
- motor imagery
- evolutionary multi objective
- global optima
- hybrid optimization algorithm
- evolutionary algorithm
- pattern recognition
- support vector
- kernel density estimators
- brain activity
- genetic algorithm
- classification accuracy
- feature vectors
- feature selection
- electrical activity
- linear discriminant classifier
- control parameters
- support vector machine svm
- particle swarm optimization
- image classification
- training set
- optimal solution
- image processing
- extracted features
- extreme learning machine
- multi objective optimization
- brain signals
- event related potentials
- machine learning
- neural network