Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples.
Roberto AlejoVicente GarcíaJosé Martínez SotocaRamón Alberto MollinedaJosé Salvador SánchezPublished in: IDEAL (2006)
Keyphrases
- mlp neural networks
- multi layer perceptron
- radial basis function
- fuzzy artmap
- neural network
- training set
- multilayer perceptron
- artificial neural networks
- incremental learning
- data sets
- training samples
- minority class
- rbf neural network
- back propagation
- support vector machine
- class imbalance
- rbf network
- genetic algorithm
- machine learning
- multi class
- active learning
- class distribution
- learning process