A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks.
Silvia CateniValentina CollaMarco VannucciPublished in: EMS (2010)
Keyphrases
- input variables
- artificial neural networks
- variable selection
- genetic algorithm
- membership functions
- fuzzy rules
- neural network
- neural network model
- fuzzy logic
- number of input variables
- hidden neurons
- target variable
- simulated annealing
- back propagation
- multi objective
- input vector
- water level
- multiple linear regression
- evolutionary algorithm
- computational intelligence
- pairwise
- radial basis function
- pattern recognition
- learning algorithm
- ls svm