The rate of approximation of Gaussian radial basis neural networks in continuous function space

DOI10.1007/s10114-012-1369-4zbMath1263.41009OpenAlexW2402475499MaRDI QIDQ1940856

Feilong Cao, Tingfan Xie

Publication date: 8 March 2013

Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10114-012-1369-4

zbMATH Keywords

rate of convergenceapproximationmodulus of continuityGaussian radial basis feedforward neural networks

Mathematics Subject Classification ID

Multidimensional problems (41A63) Interpolation in approximation theory (41A05) Rate of convergence, degree of approximation (41A25)

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Nonlinear approximation via compositions ⋮ Construction and approximation for a class of feedforward neural networks with sigmoidal function ⋮ Deep Network Approximation Characterized by Number of Neurons ⋮ Almost optimal estimates for approximation and learning by radial basis function networks

Cites Work

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