Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification.
Javier LeónJuan José EscobarJesús GonzálezJulio OrtegaFrancisco Manuel Arrabal-CamposAndrés OrtizMiguel DamasPublished in: BIOMESIP (2021)
Keyphrases
- recurrent neural networks
- high dimensional
- high dimensionality
- eeg signals
- neural network
- feature space
- recurrent networks
- echo state networks
- pattern recognition
- classification accuracy
- decision trees
- text classification
- image classification
- nearest neighbor
- complex valued
- motor imagery
- support vector machine svm
- feedforward neural networks
- feed forward
- artificial neural networks
- feature vectors
- artificial intelligence
- training set
- support vector
- feature selection
- neural model
- machine learning
- cascade correlation
- bayesian framework
- gene expression data
- low dimensional
- data points
- feature extraction
- learning algorithm
- data mining