Skip to search formSkip to main contentSkip to account menu

Radial basis function network

Known as: Radial basis network, RBF net, RBF network 
In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Classification has been a major problem of study whose application includes speaker recognition, character recognition, etc. In… 
2007
2007
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far… 
2006
2006
The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly… 
2001
2001
  • S. MitraJ. Basak
  • 2001
  • Corpus ID: 13403898
The FRBF network is designed by integrating the principles of a radial basis function network and the fuzzy c-means algorithm… 
1999
1999
  • J. BasakS. Mitra
  • 1999
  • Corpus ID: 19358577
A new method of feature selection using a Radial Basis Function network is described. The parameters of the radial basis function… 
1997
1997
Attempting to match the complexity of a neural network to the complexity of a data set is difficult as there is no method to… 
1996
1996
The application of radial basis function (RBF) networks to signal processing has received attention from many researchers. This… 
1994
1994
Normalisation of the basis function activations in a radial basis function (RBF) network is a common way of achieving the… 
1992
1992
There are strong relationships between radial basis function (RBF) approaches and neural network representations. Indeed, the RBF… 
1992
1992
Seven different Radial Basis Functions have been applied in a Feedforward Neural Network and tested on five different real or…