A Mean Field Theory Learning Algorithm for Neural Networks.
Carsten PetersonJames R. AndersonPublished in: Complex Syst. (1987)
Keyphrases
- neural network
- learning algorithm
- back propagation
- learning rules
- pattern recognition
- training algorithm
- learning rate
- artificial neural networks
- machine learning
- learning problems
- neural network structure
- neural network model
- machine learning algorithms
- supervised learning
- fuzzy logic
- markov random field
- hidden layer
- neural nets
- feed forward
- recurrent neural networks
- generalization ability
- statistical mechanics
- fuzzy systems
- training examples
- active learning
- learning tasks
- learning process
- network architecture
- rbf network
- learning scheme
- reinforcement learning
- genetic algorithm
- multilayer perceptron
- fault diagnosis
- competitive learning
- feedforward neural networks
- rule extraction
- self organizing maps
- learning models
- radial basis function