SVM-tree and SVM-forest algorithms for imbalanced fault classification in industrial processes.
Gecheng ChenZhiqiang GePublished in: IFAC J. Syst. Control. (2019)
Keyphrases
- support vector machine svm
- classification algorithm
- support vector
- support vector machine
- svm classifier
- feature selection
- classification method
- industrial processes
- binary classification problems
- generalization ability
- fault detection
- feature space
- multi class classification
- knn
- svm classification
- ensemble classifier
- decision forest
- feature vectors
- training set
- machine learning algorithms
- learning algorithm
- training data
- machine learning
- decision boundary
- kernel function
- imbalanced data
- tree kernels
- feature extraction
- single class
- supervised machine learning algorithms
- support vectors
- class labels
- naive bayes
- multi class
- hyperplane
- radial basis function
- text classification
- classification accuracy
- case study
- industrial process
- decision trees