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Highly Cited

2009

Highly Cited

2009

Preface 1. Introduction 2. Summary of methods and applications 3. General methods for approximation and interpolation 4. Radial… Expand

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Highly Cited

2003

Highly Cited

2003

From the Publisher:
"In many areas of mathematics, science and engineering, from computer graphics to inverse methods to signal… Expand

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Highly Cited

2002

Highly Cited

2002

A point interpolation meshless method is proposed based on combining radial and polynomial basis functions. Involvement of radial… Expand

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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… Expand

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Highly Cited

2001

Highly Cited

2001

AbstractWe introduce a method that aims to find the global minimum of a continuous nonconvex function on a compact subset of… Expand

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Highly Cited

1999

Highly Cited

1999

The accuracy of many schemes for interpolating scattered data with radial basis functions depends on a shape parameter c of the… Expand

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Highly Cited

1996

Highly Cited

1996

This document is an introduction to radial basis function RBF networks a type of arti cial neural network for application to… Expand

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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… Expand

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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… Expand

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Highly Cited

1988

Highly Cited

1988

Abstract : The relationship between 'learning' in adaptive layered networks and the fitting of data with high dimensional… Expand

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