A GA-Based Learning Algorithm for Binary Neural Networks.
Masanori ShimadaToshimichi SaitoPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2002)
Keyphrases
- neural network
- learning algorithm
- back propagation
- genetic algorithm
- learning rules
- genetic algorithm ga
- training data
- pattern recognition
- rbf network
- feed forward
- neural network structure
- learning scheme
- non binary
- artificial neural networks
- recurrent neural networks
- training samples
- training algorithm
- active learning
- training examples
- machine learning
- learning rate
- multilayer perceptron
- machine learning algorithms
- hidden layer
- fuzzy logic
- binary classifiers
- boolean functions
- generalization ability
- fuzzy systems
- learning process
- fitness function
- hamming distance
- multi task learning
- activation function
- reinforcement learning
- supervised learning
- rule extraction