Classification of electroencephalography signals using three-dimensions convolution neural network with long short-term memory architecture.
Viet Quoc HuynhHoang-Thuy-Tien VoThu Anh NguyenTuan Van HuynhPublished in: Int. J. Medical Eng. Informatics (2023)
Keyphrases
- neural network
- eeg signals
- eeg data
- pattern recognition
- learning vector quantization
- classification accuracy
- image classification
- multi layer perceptron
- support vector machine
- real time
- support vector machine svm
- recurrent neural networks
- decision trees
- feature vectors
- feature selection
- training set
- software architecture
- management system
- radial basis function
- pattern classification
- multilayer perceptron
- network architecture
- sleep stage
- classification scheme
- classification algorithm
- kohonen self organizing map
- classification method
- machine learning
- genetic algorithm
- feature extraction
- feature space
- artificial neural networks
- feature set
- independent component analysis
- text classification
- multi layer
- classification models
- feed forward neural networks
- support vector
- back propagation
- acoustic signal
- acoustic signals
- self organizing maps
- long short term memory