Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

32 relations
Activation functionArtificial neural networkBasis functionBoundary element method

Broader (2)

InterpolationNumerical analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2011
Review
2011
OBSERVATIONAL PROPERTIES OF THE METAL-POOR THICK DISK OF THE MILKY WAY AND INSIGHTS INTO ITS ORIGINS
We have undertaken the study of the elemental abundances and kinematic properties of a metal-poor sample of candidate thick-disk… 
Highly Cited
2009
Highly Cited
2009
Stellar velocity profiles and line strengths out to four effective radii in the early-type galaxies NGC 3379 and 821
We use the integral-field spectrograph SAURON to measure the stellar line-of-sight velocity distribution and absorption line… 
Highly Cited
2005
Highly Cited
2005
Status: Submitted to ApJ
  • 2005
  • Corpus ID: 6788933
Highly Cited
2003
Highly Cited
2003
Accepted for publication in Astrophysical Journal Letters Dynamical Evidence for a Black Hole in GX 339–4
  • 2003
  • Corpus ID: 16820881
2000
2000
Numerical Techniques Based on Radial Basis Functions
Abstract : Radial basis functions are tools for reconstruction of multivariate functions from scattered data. This includes, for… 
Highly Cited
1998
Highly Cited
1998
Submitted to the Astrophysical Journal Orbital Evolution and Migration of Giant Planets: Modeling Extrasolar Planets
  • 1998
  • Corpus ID: 17804915
1997
1997
Nonlinear PLS modelling using radial basis functions
An approach to nonlinear partial least squares (PLS) modelling using radial basis function (RBF) neural networks to provide a… 
1992
1992
Wavelets, subdivision algorithms, and radial basis functions
C.K. Chui: Wavelets and spline interpolation N.D. Dyn: Subdivision schemes in computer-aided geometric design M.J.D. Powell: The… 
Highly Cited
1989
Highly Cited
1989
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems
Eight neural net and conventional pattern classifiers (Bayesian-unimodal Gaussian, k-nearest neighbor, standard back-propagation… 
Highly Cited
1977
Highly Cited
1977
Pure electron plasma, liquid, and crystal
We speculate on the possibility of liquefying and crystallizing a magnetically confined pure electron plasma. 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)