Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data

DOI10.1016/S0031-3203(01)00033-4zbMath0999.68177OpenAlexW1989955119WikidataQ57565843 ScholiaQ57565843MaRDI QIDQ5959597

F. Behloul, Abdel-Ouahab Boudraa, J. H. C. Reiber, B. P. F. Lelieveldt

Publication date: 2 December 2002

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(01)00033-4

zbMATH Keywords

fuzzy clusteringRadial Basis Function Neural Network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

A fuzzy hybrid learning algorithm for radial basis function neural network with application in human face recognition ⋮ Fuzzy radial basis function neural networks with information granulation and its parallel genetic optimization

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Fuzzy clustering algorithms based on the maximum likelihood principle
• Fuzzy clustering using scatter matrices
• Fuzzy clustering with high contrast
• Convergence properties of the generalized fuzzy c-means clustering algorithms
• Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions
• Fuzzy identification of systems and its applications to modeling and control
• c-means clustering with the l/sub l/ and l/sub infinity / norms
• A new cluster validity index for the fuzzy c-mean

This page was built for publication: Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data