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» Functional radial basis function networks
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ADCM
2010
85views more  ADCM 2010»
13 years 7 months ago
Stability of kernel-based interpolation
It is often observed that interpolation based on translates of radial basis functions or non-radial kernels is numerically unstable due to exceedingly large condition of the kerne...
Stefano De Marchi, Robert Schaback
IJCAI
2001
13 years 9 months ago
Knowledge Extraction from Local Function Networks
Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a ten...
Kenneth McGarry, Stefan Wermter, John MacIntyre
ISCI
2002
120views more  ISCI 2002»
13 years 7 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
TNN
2008
119views more  TNN 2008»
13 years 7 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
IJON
2006
89views more  IJON 2006»
13 years 7 months ago
Flexible kernels for RBF networks
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
André O. Falcão, Thibault Langlois, ...