Radial basis function

Known as: Basis, RBF, Radial basis functions 
A radial basis function (RBF) is a real-valued function whose value depends only on the distance from the origin, so that ; or alternatively on the… (More)
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Papers overview

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Highly Cited
2010
Highly Cited
2010
The widespread application of power-electronic loads has led to increasing harmonic pollution in the supply system. In order to… (More)
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Highly Cited
2005
Highly Cited
2005
Electrical capacitance tomography (ECT) technique is a new technique for two-phase flow measurement. This paper describes the… (More)
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Highly Cited
2002
Highly Cited
2002
A general and efficient design approach using a radial basis function (RBF) neural classifier to cope with small training sets of… (More)
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Highly Cited
2001
Highly Cited
2001
We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair… (More)
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Highly Cited
2001
Highly Cited
2001
We introduce a method that aims to nd the global minimum of a continuous nonconvex function on a compact subset of IR d. It is… (More)
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Highly Cited
1995
Highly Cited
1995
Subset selection and regularization are two well-known techniques that can improve the generalization performance of… (More)
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Highly Cited
1995
Highly Cited
1995
For interpolation of scattered multivariate data by radial basis functions, an \uncertainty relation" between the attainable… (More)
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Highly Cited
1995
Highly Cited
1995
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  • 1995
Subset selection and regularisation are two well known techniques which can improve the generalisation performance of… (More)
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Highly Cited
1993
Highly Cited
1993
This paper concerns conditions for the approximation of functions in certain general spaces using radial-basis-function networks… (More)
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Highly Cited
1993
Highly Cited
1993
It is shown that, under some minor restrictions, the functional behavior of radial basis function networks (RBFNs) and that of… (More)
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