Conditional fuzzy clustering in the design of radial basis function neural networks
W Pedrycz - IEEE transactions on neural networks, 1998 - ieeexplore.ieee.org
This paper is concerned with the use of radial basis function (RBF) neural networks aimed at
an approximation of nonlinear mappings from R/sup n/to R. The study is devoted to the
design of these networks, especially their layer composed of RBF, using the techniques of
fuzzy clustering. Proposed is an idea of conditional clustering whose main objective is to
develop clusters (receptive fields) preserving homogeneity of the clustered patterns with
regard to their similarity in the input space as well as their respective values assumed in the …
an approximation of nonlinear mappings from R/sup n/to R. The study is devoted to the
design of these networks, especially their layer composed of RBF, using the techniques of
fuzzy clustering. Proposed is an idea of conditional clustering whose main objective is to
develop clusters (receptive fields) preserving homogeneity of the clustered patterns with
regard to their similarity in the input space as well as their respective values assumed in the …
[CITATION][C] Conditional fuzzy clustering in the design of radial basis function neural networks
W Pedrycz - IEEE Trans. Neural Netw., 1999 - cir.nii.ac.jp
Conditional fuzzy clustering in the design of radial basis function neural networks | CiNii
Research … Conditional fuzzy clustering in the design of radial basis function neural
networks … Neural Netw. …
Research … Conditional fuzzy clustering in the design of radial basis function neural
networks … Neural Netw. …
Showing the best results for this search. See all results
