Unsupervised/Supervised Learning for RBF-Fuzzy Systema - Adaptive Rules, Membership Functions and Hierarchical Structure by Genetic Algorithm -.
Koji ShimojimaYasuhisa HasegawaToshio FukudaPublished in: IEEE/Nagoya-University World Wisepersons Workshop (1994)
Keyphrases
- hierarchical structure
- membership functions
- supervised learning
- fuzzy rule based systems
- fuzzy logic
- genetic algorithm
- fuzzy sets
- rule sets
- fuzzy rules
- unsupervised learning
- information granulation
- fuzzy association rules
- fuzzy membership functions
- fuzzy if then rules
- fuzzy model
- fuzzy clustering
- rule base
- genetic optimization
- fuzzy partition
- fuzzy reasoning
- hierarchical structures
- neural network
- fuzzy controller
- fuzzy partitions
- artificial neural networks
- radial basis function
- machine learning
- fuzzy inference
- fuzzy inference system
- information granules
- fuzzy neural network
- training data
- tree structure
- classification rules
- fuzzy systems
- fuzzy c means
- fuzzy entropy
- t norm
- fuzzy modeling
- fuzzy relations
- fuzzy classification
- rbf neural network
- training set
- image representation
- fuzzy logic controller
- expert systems
- neuro fuzzy
- evolutionary algorithm
- computational intelligence
- rough sets
- takagi sugeno
- pattern recognition
- concept lattice
- knowledge base
- association rule mining