An experimental comparison of symbolic and neural learning algorithms.
Nazife BaykalMehmet R. TolunPublished in: KES (2) (1998)
Keyphrases
- learning algorithm
- connectionist models
- neural learning
- network architecture
- machine learning algorithms
- neural network
- active learning
- neural model
- artificial neural
- learning rules
- training data
- back propagation
- learning problems
- nonlinear predictive control
- learning scheme
- generalization ability
- machine learning
- learning tasks
- training samples
- generalization error
- high level
- biologically plausible
- incremental learning
- supervised learning
- learning process
- symbolic representation
- neural fuzzy
- deep architectures
- symbolic description
- learning models
- efficient learning
- hypothesis space
- learning rate
- associative memory
- training examples
- fuzzy logic
- genetic algorithm
- data mining