Multi-layer radial basis function networks. An extension to the radial basis function

R. Craddock, Kevin Warwick

Proceedings of International Conference on Neural Networks (ICNN'96) · 2002 · 16 citations · 9 references

Concepts

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.

References

9