A new hybrid framework based on deep neural networks and JAYA optimization algorithm for feature selection using SVM applied to classification of acute lymphoblastic Leukaemia.
Ali NoshadSaeed FallahiPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2023)
Keyphrases
- optimization algorithm
- feature selection
- support vector
- support vector machine
- neural network
- support vector machine svm
- multi objective
- classification accuracy
- svm classifier
- differential evolution
- machine learning
- classification models
- feature space
- pattern recognition
- ensemble classifier
- multi class
- feature set
- wrapper feature selection
- classification algorithm
- evolutionary multi objective
- text classification
- knn
- genetic algorithm
- generalization ability
- optimization method
- training data
- classification method
- feature subset selection
- feature extraction
- training process
- model selection
- svm classification
- optimization strategy
- multiple kernel learning
- selected features
- multi class classification
- feature ranking
- training set
- feature subset
- radial basis function
- artificial neural networks
- feature vectors
- artificial bee colony
- feature reduction
- hybrid optimization algorithm
- control parameters
- fold cross validation
- text classifiers
- multi layer perceptron
- bp neural network
- evolutionary algorithm
- naive bayes
- text categorization