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A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design
[chapter]
2006
Lecture Notes in Computer Science
This paper presents a new approach to the problem of designing Radial Basis Function Neural Networks (RBFNNs) to approximate a given function. The presented algorithm focuses in the first stage of the design where the centers of the RBFs have to be placed. This task has been commonly solved by applying generic clustering algorithms although in other cases, some specific clustering algorithms were considered. These specific algorithms improved the performance by adding some elements that allow
doi:10.1007/11908029_67
fatcat:qyh7snc35zeixayv67wgqmffbq