An Independent Component Analysis Classification for Complex Power Quality Disturbances With Sparse Auto Encoder Features.
Xiaoying ShiHui YangZhibang XuXiujun ZhangMohammad Reza FarahaniPublished in: IEEE Access (2019)
Keyphrases
- independent component analysis
- feature analysis
- principle component analysis
- independent components
- signal processing
- power quality disturbance
- classification accuracy
- feature extraction
- feature vectors
- feature set
- principal component analysis
- factor analysis
- feature space
- extracted features
- svm classifier
- mixing matrix
- pattern recognition
- probabilistic neural network
- eeg data
- support vector
- decision trees
- feature selection
- blind source separation
- pattern classification
- source separation
- machine learning
- sparse representation
- support vector machine svm
- multiresolution
- neural network
- eeg signals
- unsupervised learning
- image classification
- support vector machine
- artificial neural networks
- image processing