Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems.
Ming-Yuan ChoThi Thom HoangPublished in: Comput. Intell. Neurosci. (2017)
Keyphrases
- feature selection
- support vector
- support vector machine
- support vector machine svm
- classification accuracy
- text classification
- svm classifier
- feature set
- small sample
- feature space
- machine learning
- parameter optimization
- svm classification
- multi class
- classification models
- classification method
- classification performances
- feature ranking
- feature vectors
- kernel parameters
- classification algorithm
- feature extraction
- pattern recognition
- discriminative features
- training set
- text categorization
- bayes classifier
- feature selection algorithms
- knn
- kernel machines
- improves the classification accuracy
- high dimensionality
- irrelevant features
- fold cross validation
- generalization ability
- selected features
- optimal parameters
- redundant features
- cross validation
- k nearest neighbor
- model selection
- imbalanced data
- neural network
- recursive feature elimination
- fuzzy support vector machine
- support vector classification
- text classifiers
- feature subset
- microarray data
- radial basis function
- fault diagnosis
- naive bayes
- expert systems
- input features
- bayesian classifier
- support vectors
- gene selection
- fault detection
- standard svm
- kernel function
- method for feature selection
- supervised learning