Classification of Multiple Power Quality Disturbances Based on PSO-SVM of Hybrid Kernel Function.
Liquan ZhaoMeijiao GaiYanfei JiaPublished in: J. Inf. Hiding Multim. Signal Process. (2019)
Keyphrases
- kernel function
- support vector
- support vector machine
- svm classification
- svm classifier
- feature space
- support vector machine svm
- kernel parameters
- kernel methods
- classification accuracy
- decision boundary
- kernel learning
- high dimensional feature space
- input space
- polynomial kernels
- kernel machines
- support vector regression
- feature selection
- hyperplane
- multiple kernel learning
- rbf kernel
- support vectors
- support vector data description
- machine learning
- classification method
- feature set
- tree kernels
- feature vectors
- pattern recognition
- power quality disturbance
- computer vision
- training process
- generalization ability
- pso algorithm
- particle swarm optimization pso
- particle swarm optimization
- multi class
- high dimensional
- kernel matrix
- string kernels
- training data
- decision trees
- particle swarm optimization algorithm
- reproducing kernel hilbert space
- pattern classification
- signal processing
- training set