100 search results - page 5 / 20 » Comparative Study between Radial Basis Probabilistic Neural ... |
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
IJON
2006
13 years 7 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...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
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...
IJCNN
2000
IEEE
14 years 3 days ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...