MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification.
Stuti ChugVandana AgarwalPublished in: IJCNN (2023)
Keyphrases
- motor imagery
- radial basis function neural network
- pattern classification
- eeg signals
- rbfnn
- brain computer interface
- machine learning
- support vector machine
- feature selection
- decision trees
- support vector machine svm
- pattern recognition
- radial basis function
- neural network
- feature extraction
- dimension reduction
- training set
- image classification
- feature space
- classification accuracy
- feature vectors
- learning tasks
- sensitivity analysis
- decision rules
- optimization algorithm
- function approximation
- rbf neural network
- hidden layer
- genetic algorithm