DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS
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Publication:5052610
DOI10.3846/mma.2022.15974OpenAlexW4308939445MaRDI QIDQ5052610
Publication date: 25 November 2022
Published in: Mathematical Modelling and Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3846/mma.2022.15974
sigmoidal functionsdensity resultsdeep neural networksneural network operatorsReLU activation functionRePUs activation functions
Artificial neural networks and deep learning (68T07) Rate of convergence, degree of approximation (41A25)
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Approximation error for neural network operators by an averaged modulus of smoothness ⋮ Some density results by deep Kantorovich type neural network operators ⋮ Approximation by exponential-type polynomials
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