Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network.
Eduardo R. HruschkaNelson F. F. EbeckenPublished in: IJCNN (3) (2000)
Keyphrases
- genetic algorithm
- neural network
- unsupervised learning
- self organizing maps
- clustering algorithm
- artificial neural networks
- k means
- supervised classification
- unsupervised feature selection
- rule extraction
- multi objective
- categorical data
- genetic algorithm ga
- supervised clustering
- learning rules
- learning classifier systems
- clustering method
- learning algorithm
- fuzzy logic
- metaheuristic
- back propagation
- cluster analysis
- trained neural networks
- neural network model
- hierarchical clustering
- evolutionary algorithm
- fitness function
- kohonen self organizing map
- neural network is trained
- fuzzy rule based systems
- pattern recognition
- decision rules
- semi supervised
- supervised learning
- prediction model
- association rules
- multilayer perceptron
- fuzzy artmap
- fuzzy clustering
- data clustering
- rule sets
- fault diagnosis