Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification.
Piero BaraldiNicola PedroniEnrico ZioPublished in: Int. J. Intell. Syst. (2009)
Keyphrases
- genetic algorithm
- selecting features
- multi objective
- pattern recognition
- classification algorithm
- feature vectors
- image classification
- supervised learning
- classification accuracy
- decision trees
- support vector machine
- evolutionary algorithm
- support vector
- feature extraction
- artificial neural networks
- training set
- similarity measure
- text classification
- support vector machine svm
- metaheuristic
- class labels
- fitness function
- feature selection
- classification method
- feature subset
- classification rate
- neural network