Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data.
Faiza BehloulBoudewijn P. F. LelieveldtAbdel-Ouahab BoudraaJohan H. C. ReiberPublished in: Pattern Recognit. (2002)
Keyphrases
- high dimensional data
- rule extraction
- optimal design
- radial basis function neural network
- neural network
- fuzzy rules
- rough sets
- nearest neighbor
- dimensionality reduction
- rbfnn
- black box
- classification rules
- data sets
- low dimensional
- high dimensional
- pattern classification
- similarity search
- data analysis
- radial basis function
- rough set theory
- high dimensionality
- data points
- association rules
- dimension reduction
- feature selection
- fuzzy sets
- multilayer perceptron
- back propagation
- input data
- membership functions
- pattern recognition
- linear discriminant analysis
- rbf neural network
- rbf network
- rule sets
- fuzzy logic
- decision rules
- sparse representation
- feature extraction
- decision trees
- hidden layer
- support vector
- variable selection
- fuzzy clustering
- distance function
- knn