145 search results - page 2 / 29 » Approximation of Function by Adaptively Growing Radial Basis... |
ESANN
1998
13 years 6 months ago
1998
In the present paper, Wavelet Networks, are proven to be, as well as many other neural paradigms, a speci c case of the generic paradigm named Weighted Radial Basis Functions Netw...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
IJON
2006
13 years 5 months ago
2006
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
GLOBECOM
2009
IEEE
13 years 8 months ago
2009
IEEE
Abstract—Fingerprinting localization techniques provide reliable location estimates and enable the development of location aware applications especially for indoor environments, ...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...