Multi-layer radial basis function networks: an extension to the radial basis functionCraddock, R. J. and Warwick, K. (1996) Multi-layer radial basis function networks: an extension to the radial basis function. In: IEEE International Conference on Neural Networks 1996, 3-6 Jun 1996, Washington DC, USA, pp. 700-705. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://dx.doi.org/10.1109/ICNN.1996.548981 Abstract/SummaryThis 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.
Related URLs Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
