Learning algorithm for self-organizing map classification of electroencephalogram patterns with individual differences.
Shin-Ichi ItoKatsuya SatoShoichiro FujisawaPublished in: IJCNN (2012)
Keyphrases
- self organizing maps
- individual differences
- learning vector quantization
- som neural network
- learning algorithm
- unsupervised learning
- fuzzy classification
- machine learning
- probabilistic neural network
- pattern recognition
- neural network
- learning outcomes
- supervised learning
- feature maps
- eeg signals
- pattern classification
- training data
- input data
- feature set
- feature vectors
- working memory
- text classification
- learning experience
- support vector
- reinforcement learning
- multimedia
- information systems
- region growing
- data sets
- k means
- image processing
- growing self organizing map