Approximation by perturbed neural network operators

DOI10.4064/am42-1-5zbMath1339.41025OpenAlexW2511625501MaRDI QIDQ5253674

George A. Anastassiou

Publication date: 27 May 2015

Published in: Applicationes Mathematicae (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/cd612bb29d5b00527be5f43445faa600292e828f

zbMATH Keywords

modulus of continuityneural network approximationJackson type inequalityperturbation of operators

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Inequalities in approximation (Bernstein, Jackson, Nikol'ski?-type inequalities) (41A17) Rate of convergence, degree of approximation (41A25) Approximation by other special function classes (41A30)

Related Items (1)

Approximations by multivariate perturbed neural network operators

Cites Work

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• Universal approximation bounds for superpositions of a sigmoidal function
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