Combination of supervised and unsupervised learning for training the activation functions of neural networks.
Ilaria CastelliEdmondo TrentinPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- activation function
- neural network
- supervised and unsupervised learning
- feed forward neural networks
- feedforward neural networks
- supervised learning
- training phase
- feed forward
- artificial neural networks
- back propagation
- hidden layer
- multi layer perceptron
- unsupervised learning
- multilayer perceptron
- network architecture
- semi supervised
- basis functions
- neural nets
- semi supervised learning
- training process
- training examples
- radial basis function
- learning rate
- training set
- data sets
- training samples
- fuzzy logic
- pattern recognition
- fuzzy neural network
- statistical learning
- machine learning
- learning algorithm
- genetic algorithm
- principal component analysis
- training data
- decision trees
- feature selection