Title :
Multi-layer radial basis function networks. An extension to the radial basis function
Author :
Craddock, R.J. ; Warwick, K.
Author_Institution :
Dept. of Cybern., Reading Univ., UK
Abstract :
This paper presents the initial research carried out into a new neural network called the multilayer radial basis function network (MRBF). The network extends the radial basis function (RBF) in a similar way to that in which the multilayer perceptron extends the perceptron. It is hoped that by connecting RBFs together in a layered fashion, an equivalent increase in ability can be gained, as is gained from using MLPs instead of single perceptrons. The results of a practical comparison between individual RBFs and MRBF´s are also given
Keywords :
feedforward neural nets; multilayer perceptrons; multilayer radial basis function network; Cost function; Cybernetics; Euclidean distance; Joining processes; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nonlinear equations; Radial basis function networks;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.548981