Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography.
Nadia MammoneJonas Duun-HenriksenTroels Wesenberg KjaerMaurizio CampoloFabio La ForestaFrancesco Carlo MorabitoPublished in: IJCNN (2015)
Keyphrases
- learning vector quantization
- eeg signals
- eeg data
- self organizing maps
- neural network
- bankruptcy prediction
- information theory
- brain activity
- signal processing
- independent component analysis
- mutual information
- information entropy
- information theoretic
- case study
- minimum error
- image processing
- data sets
- rough sets
- artificial neural networks
- fuzzy entropy
- learning algorithm
- doubly stochastic