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ESANN
2004

Functional radial basis function networks

9 years 11 months ago
Functional radial basis function networks
There has been recently a lot of interest for functional data analysis [1] and extensions of well-known methods to functional inputs (clustering algorithm [2], non-parametric models [3], MLP [4]). The main motivation of these methods is to benefit from the enforced inner structure of the data. This paper presents how functional data can be used with RBFN, and how the inner structure of the former can help designing the network.
Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen
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