Supervised Feature Ranking Using a Genetic Algorithm Optimized Artificial Neural Network.
Thy-Hou LinShih-Hau ChiuKeng-Chang TsaiPublished in: J. Chem. Inf. Model. (2006)
Keyphrases
- feature ranking
- artificial neural networks
- genetic algorithm
- feature selection
- multi layer perceptron
- genetic algorithm ga
- neural network
- feature subset
- text categorization
- feature subset selection
- support vector machine
- semi supervised
- back propagation
- simulated annealing
- unsupervised learning
- machine learning
- random forest
- gene selection
- high dimensionality
- classification models
- neural network model
- supervised learning
- fitness function
- logistic regression
- learning algorithm
- fold cross validation
- missing values
- genetic programming
- multi objective
- feature selection algorithms
- training data
- feature space
- metaheuristic
- kernel function
- feature extraction
- optimization algorithm
- support vector
- feature set
- selected features
- dimensionality reduction
- classification accuracy