202 search results - page 2 / 41 » Learning fault-tolerance in Radial Basis Function Networks |
ISNN
2005
Springer
14 years 25 days ago
2005
Springer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
BMCBI
2006
13 years 7 months ago
2006
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
NIPS
1989
13 years 8 months ago
1989
ICCV
2009
IEEE
13 years 5 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...
GECCO
2005
Springer
14 years 26 days ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...