Leave-two-out cross validation to optimal shape parameter in radial basis functions

DOI10.1016/j.enganabound.2018.06.011zbMath1464.65011OpenAlexW2884980253WikidataQ129508737 ScholiaQ129508737MaRDI QIDQ1717174

Mohammad Keyanpour, Habibe Ramezannezhad Azarboni, Mohammadreza Yaghouti

Publication date: 7 February 2019

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2018.06.011

zbMATH Keywords

radial basis functionscross validationshape parameterleave-one-out cross validationapproximate moving least squares

Mathematics Subject Classification ID

Numerical interpolation (65D05) Interpolation in approximation theory (41A05) Approximation by other special function classes (41A30)

Related Items (5)

An improved radial basis functions method for the high-order Volterra-Fredholm integro-differential equations ⋮ Unnamed Item ⋮ European option under a skew version of the GBM model with transaction costs by an RBF method ⋮ Adaptive selection strategy of shape parameters for LRBF for solving partial differential equations ⋮ A compact radial basis function partition of unity method

Uses Software

• Matlab

Cites Work

• Unnamed Item
• Unnamed Item
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• On choosing ``optimal shape parameters for RBF approximation
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• Interpolation of spatial data – A stochastic or a deterministic problem?
• A Meshless Method Using Radial Basis Functions for the Numerical Solution of Two-Dimensional Complex Ginzburg-Landau Equation
• Iterated Approximate Moving Least Squares Approximation

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