Wiener's tauberian theorems for the Fourier–Bessel transformation and uniform approximation by RBF networks of Delsarte translates-Reference-Cited by-同舟云学术

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Wiener's tauberian theorems for the Fourier–Bessel transformation and uniform approximation by RBF networks of Delsarte translates

Published:2015-11 Issue:1 Volume:431 Page:482-493
ISSN:0022-247X
Container-title:Journal of Mathematical Analysis and Applications
language:en
Short-container-title:Journal of Mathematical Analysis and Applications

Author:

Arteaga Cristian,Marrero Isabel^ORCID

Funder

2011 CajaCanarias Research

MICINN-FEDER

Publisher

Elsevier BV

Subject

Applied Mathematics,Analysis

Reference21 articles.

1. A scheme for interpolation by Hankel translates of a basis function;Arteaga;J. Approx. Theory,2012

2. Universal approximation by radial basis function networks of Delsarte translates;Arteaga;Neural Netw.,2013

3. Approximation in weighted p-mean by RBF networks of Delsarte translates;Arteaga;J. Math. Anal. Appl.,2014

4. Multivariate functional interpolation and adaptive networks;Broomhead;Complex Systems,1988

5. Radial Basis Functions: Theory and Implementations;Buhmann,2003

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radial basis function neural networks of Hankel translates as universal approximators;Analysis and Applications;2019-09-23

2. The Role of Nonpolynomiality in Uniform Approximation by RBF Networks of Hankel Translates;Journal of Function Spaces;2019-04-01

3. Constructive function approximation by neural networks with optimized activation functions and fixed weights;Neural Computing and Applications;2018-06-09

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