Assessing the performance of a modified S-transform with probabilistic neural network, support vector machine and nearest neighbour classifiers for single and multiple power quality disturbances identification.
Heman ShamachurnPublished in: Neural Comput. Appl. (2019)
Keyphrases
- probabilistic neural network
- nearest neighbour
- support vector machine
- power quality disturbance
- decision trees
- pattern classification
- extracted features
- k nearest neighbor
- neural network
- training set
- knn
- support vector
- training data
- speaker identification
- particle swarm optimization algorithm
- signal processing
- self organizing maps
- artificial neural networks
- wavelet transform
- support vector machine svm
- euclidean distance
- positive and negative
- rough sets
- generalization ability
- radial basis function
- expert systems
- feature space
- feature selection
- pattern recognition