An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning.
Chibuzo Nwabufo OkwuosaJang-Wook HurPublished in: IEEE Access (2023)
Keyphrases
- supervised learning
- feature selection
- unsupervised learning
- classification accuracy
- machine learning
- accurate classification
- supervised and unsupervised learning
- text classification
- support vector
- feature set
- supervised machine learning
- classification models
- class labels
- training set
- high dimensionality
- feature space
- mutual information
- classification algorithm
- support vector machine
- multi class
- training data
- feature ranking
- feature extraction
- learning algorithm
- image classification
- model selection
- supervised classification
- fault diagnosis
- text categorization
- feature subset
- method for feature selection
- instance selection
- feature selection and classification
- load balancing
- reinforcement learning
- pattern recognition
- training samples
- feature construction
- semi supervised
- classification method
- support vector machine svm
- feature weighting
- semi supervised learning
- sufficient conditions
- feature selection algorithms
- class separability
- information gain
- machine learning algorithms
- decision trees
- supervised learning tasks
- wrapper feature selection