Abstract
Our aim is to propose an extension of RBF networks, which reduces oversmoothing when a surface with a discontinuity or sharp changes is fitted by the net. If a learning sequence contains random errors, then they smoothed in flat areas, while sufficiently large jumps are preserved.
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Rafajłowicz, E. (2003). Extended RBF Nets — Preliminary Studies. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_36
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_36
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
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