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10

ICANNGA
2007
Springer

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Estimates of Approximation Rates by Gaussian Radial-Basis Functions

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Estimates of Approximation Rates by Gaussian Radial-Basis Functions

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Rates of approximation by networks with Gaussian RBFs with varying widths are investigated. For certain smooth functions, upper bounds are derived in terms of a Sobolev-equivalent norm. Coeﬃcients involved are exponentially decreasing in the dimension. The estimates are proven using Bessel potentials as auxiliary approximating functions.

Paul C. Kainen, Vera Kurková, Marcello Sang

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Auxiliary Approximating Functions | Certain Smooth Functions | Gaussian RBFs | ICANNGA 2007 |

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Added	08 Jun 2010
Updated	08 Jun 2010
Type	Conference
Year	2007
Where	ICANNGA
Authors	Paul C. Kainen, Vera Kurková, Marcello Sanguineti

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