Abstract
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experimental designs. In typical cases we are able to compose optimal centers’ locations from the known univariate experiment designs.
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© 2004 Springer-Verlag Berlin Heidelberg
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Rafajłowicz, E., Pawlak, M. (2004). Optimization of Centers’ Positions for RBF Nets with Generalized Kernels. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_34
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DOI: https://doi.org/10.1007/978-3-540-24844-6_34
Publisher Name: Springer, Berlin, Heidelberg
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