Training neural networks by stochastic optimisation.
Antanas VerikasAdas GelzinisPublished in: Neurocomputing (2000)
Keyphrases
- neural network
- training process
- training algorithm
- pattern recognition
- backpropagation algorithm
- genetic algorithm
- neural network training
- multi layer perceptron
- feed forward neural networks
- training patterns
- feedforward neural networks
- multilayer perceptron
- monte carlo
- back propagation
- training phase
- feed forward
- fuzzy logic
- recurrent networks
- training set
- training data
- stochastic optimization
- error back propagation
- neural nets
- recurrent neural networks
- neural network model
- test set
- artificial neural networks
- multi layer
- network architecture
- activation function
- self organizing maps
- radial basis function network
- online learning
- hopfield neural network
- support vector machine
- hidden markov models
- artificial intelligence
- data sets