Hamiltonian Neural Networks Based Classifiers and Mappings.
Wieslaw SienkoDariusz ZamojskiPublished in: IJCNN (2006)
Keyphrases
- neural network
- training data
- pattern recognition
- neuro fuzzy systems
- learning classifier systems
- decision trees
- multi layer perceptron
- artificial neural networks
- neural network model
- back propagation
- classification models
- feature set
- supervised classification
- fuzzy logic
- linear classifiers
- learning rules
- training process
- fuzzy systems
- classification systems
- machine learning methods
- training samples
- feature selection
- training set
- classification algorithm
- test set
- schema mappings
- multilayer perceptron
- genetic algorithm
- machine learning algorithms
- individual classifiers
- roc curve
- classification rate
- classifier combination
- support vector
- neural networks and support vector machines
- object detection
- binary classifiers
- trained classifiers
- activation function
- active learning
- classification accuracy
- training examples
- recurrent neural networks
- data sets
- classification method