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Abstract: This chapter presents a broad overview of Radial Basis Function Networks (RBFNs), and facilitates an understanding of their properties by using concepts from approximation theory, catastrophy theory and statistical pattern recognition. While this chapter is aimed to provide an adequate theoretical background for the subsequent application oriented chapters in this book, it also covers several aspects with immediate practical implications: alternative ways of training RBFNs, how to obtain an... (Update)
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BibTeX entry: (Update)
Ghosh, J., Nag, A. An Overview of Radial Basis Function Networks. Radial Basis Function Neural Network Theory and Applications, R. J. Howlerr and L. C. Jain (Eds), Physica-Verlag., 2000. http://citeseer.ist.psu.edu/ghosh00overview.html More
@misc{ ghosh00overview,
author = "J. Ghosh and A. Nag",
title = "An Overview of Radial Basis Function Networks",
text = "Ghosh, J., Nag, A. An Overview of Radial Basis Function Networks. Radial
Basis Function Neural Network Theory and Applications, R. J. Howlerr and
L. C. Jain (Eds), Physica-Verlag., 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/ghosh00overview.html" }
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