Symbolic fuzzy classification is proposed using fuzzy radial basis function network, with fuzzy c-medoids clustering at the hidden layer.
Abstract. Symbolic fuzzy classification is proposed using fuzzy radial basis function network, with fuzzy c-medoids clus- tering at the hidden layer.
Semantic Scholar extracted view of "Symbolic classification, clustering and fuzzy radial basis function network" by Kalyani Mali et al.
Symbolic fuzzy classification is proposed using fuzzy radial basis function network, with fuzzy c -medoids clustering at the hidden layer.
Symbolic classification, clustering and fuzzy radial basis function network. Authors: Mali, Kalyani · Matra, Sushmita. Keywords: Radial basis function network
Symbolic classification, clustering and fuzzy radial basis function network. Authors: Mali, Kalyani · Mitra, Sushmita. Keywords: Radial basis function network
Feb 16, 2023 · RBF functions are based on the radial basis function kernel, which is a mathematical function that calculates the distance between two data points.
People also ask
What is fuzzy radial basis function?
What is the difference between clustering and classification in DWM?
The radial basis function RBF network has its foundation in the conventional approximation the- ory. It has the capability of universal approximation.
Sep 1, 2004 · Symbolic classification, clustering and fuzzy radial basis function network. Symbolic fuzzy classification is proposed using fuzzy radial ...
FRBF: A fuzzy radial basis function network - ResearchGate
www.researchgate.net › publication › 22...
The FRBF network is designed by integrating the principles of a radial basis function network and the fuzzy c-means algorithm.
Missing: Symbolic | Show results with:Symbolic