Modified neural network operators and their convergence properties with summability methods
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Publication:2185008
DOI10.1007/s13398-020-00860-0zbMath1440.41011OpenAlexW3027168902MaRDI QIDQ2185008
Publication date: 4 June 2020
Published in: Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A: Matemáticas. RACSAM (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13398-020-00860-0
uniform approximationstrong summabilitysummability methodsneural network operatorsBell-shaped function
Related Items (8)
DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS ⋮ Quantitative estimates for neural network operators implied by the asymptotic behaviour of the sigmoidal activation functions ⋮ Multivariate approximation in φ\varphi-variation for nonlinear integral operators via summability methods ⋮ Regular summability methods in the approximation by max-min operators ⋮ Some density results by deep Kantorovich type neural network operators ⋮ Complex Shepard operators and their summability ⋮ Analytical Meir-Keeler type contraction mappings and equivalent characterizations ⋮ Nonlinear approximation in \(N\)-dimension with the help of summability methods
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