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» Learning fault-tolerance in Radial Basis Function Networks
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ESANN
1998
13 years 8 months ago
A comparison between weighted radial basis functions and wavelet networks
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...
Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyn...
APIN
2005
127views more  APIN 2005»
13 years 7 months ago
Evolutionary Radial Basis Functions for Credit Assessment
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...
Estefane G. M. de Lacerda, André Carlos Pon...
IJCNN
2008
IEEE
14 years 1 months ago
Fully complex-valued radial basis function networks for orthogonal least squares regression
— 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...
Sheng Chen, Xia Hong, Chris J. Harris
ICIC
2005
Springer
14 years 26 days ago
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes
Abstract. An orthogonal forward selection (OFS) algorithm based on the leaveone-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tu...
Sheng Chen, Xia Hong, Chris J. Harris
IJON
2006
103views more  IJON 2006»
13 years 7 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...