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.
2007
2007
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far… 
2007
2007
This paper describes a method to improve the robustness of a face recognition system based on the combination of two compensating… 
2006
2006
The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly… 
2001
2001
Vorobyov, S. A., and Cichocki, A., Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear… 
2001
2001
Artificial neural networks have become important tools in many fields. This paper describes a new algorithm for training an RBF… 
1999
1999
Proposes a hierarchical model of a radial basis function network to classify and to recognize facial expressions. This approach… 
1997
1997
The two-layer Radial Basis Function network, with xed centres of the basis functions, is analysed within a stochastic training… 
1995
1995
Most research to date using genetic algorithms to evolve neural networks has focused on the multi-layer perceptron. Altemative… 
1994
1994
Normalisation of the basis function activations in a radial basis function (RBF) network is a common way of achieving the… 
1992
1992
Seven different Radial Basis Functions have been applied in a Feedforward Neural Network and tested on five different real or…