Epileptic seizures classification in EEG using PCA based genetic algorithm through machine learning.
Md Khurram Monir RabbyA. K. M. Kamrul IslamSaeid BelkasimMarwan U. BikdashPublished in: ACM Southeast Conference (2021)
Keyphrases
- machine learning
- eeg signals
- epileptic seizures
- genetic algorithm
- pattern recognition
- supervised machine learning
- decision trees
- supervised learning
- support vector machine
- machine learning methods
- feature selection
- text classification
- feature vectors
- classification accuracy
- motor imagery
- svm classifier
- support vector machine svm
- neural network
- image classification
- support vector
- principal component analysis
- model selection
- brain activity
- principle component analysis
- data analysis
- machine learning approaches
- supervised classification
- data mining
- learning algorithm
- eeg data
- image processing
- similarity measure
- pattern classification
- dimension reduction
- decision rules
- fitness function
- evolutionary algorithm
- unsupervised learning
- genetic programming
- active learning
- image data
- signal processing