Approximation by ridge functions and neural networks with a bounded number of neurons
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Publication:3452446
DOI10.1080/00036811.2014.979809zbMath1326.41028OpenAlexW2039148884WikidataQ58270203 ScholiaQ58270203MaRDI QIDQ3452446
Publication date: 12 November 2015
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2014.979809
Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Multidimensional problems (41A63) Approximation by other special function classes (41A30)
Related Items (9)
On the error of approximation by ridge functions with two fixed directions ⋮ A note on the equioscillation theorem for best ridge function approximation ⋮ On the approximation by single hidden layer feedforward neural networks with fixed weights ⋮ On a smoothness problem in ridge function representation ⋮ Approximation of curve-based sleeve functions in high dimensions ⋮ On the theory of flexible neural networks – Part I: a survey paper ⋮ Computing the Approximation Error for Neural Networks with Weights Varying on Fixed Directions ⋮ A note on continuous sums of ridge functions ⋮ On the representation by bivariate ridge functions
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