Eye State Identification Utilizing EEG Signals: A Combined Method Using Self-Organizing Map and Deep Belief Network

Table 1

List of acronyms.

Acronyms	Description
EEG	Electroencephalogram
HCI	Human-computer interaction
BCI	Brain-computer interface
RLR	Regularized linear regression
LR	Logistic regression
ANN	Artificial neural network
SOM	Self-organizing map
PSO	Particle swarm optimization
RBFNN	Radial basis function neural network
DWT	Discrete wavelet transform
MSE	Mean square error
SVM	Support vector machine
WPE	Weighted permutation entropy
ML	Machine learning
EOG	Electrooculogram
ELM	Extreme learning machine
ICA	Independent component analysis
OD	Outlier detection
OA	Ocular artifacts
CNN	Convolutional neural network
DBN	Deep belief network
CD	Contrastive divergence
PR	Pattern recognition
SDA	Stacked denoising autoencoders
ICA	Imperialist competitive algorithm
GA	Genetic algorithm
RF	Random forest
DT	Decision tree
NB	Naïve Bayes
2D	2-Dimensional
BMU	Best matching unit
QE	Quantization errors
ABC	Artificial bee colony
DSOM	Deep self-organizing map
E-DSOM	Expand-DSOM
NWP	Numerical weather prediction
MWNN	Morlet wavelet neural network
BPNN	Back-propagation neural network
RBM	Restricted Boltzmann machine
GSNN	Generative stochastic neural network
MLPNN	Multilayer perceptron neural network
ICs	Independent components
DSP	Digital signal processor
SAE	Stacked autoencoders
BN	Belief net
DNN	Deep neural network
HMM	Hidden Markov model
DL	Deep learning