Abstract
We present a dynamical architecture for a Radial Basis Function Network. The scheme is based on the Simulated Annealing procedure for learning. Increase of performances with respect to classical methods and opportunity to vary the size of the network are reported.
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© 1995 Springer-Verlag/Wien
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Lemarié, B., Debroise, AG. (1995). A Dynamical Architecture for a Radial Basis Function Network. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_80
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_80
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
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