Quantitative Approximation by Kantorovich-Choquet quasi-interpolation neural network operators
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Abstract
In this article we present univariate and multivariate basic approximation by Kantorovich-Choquet type quasi-interpolation neural networkoperators with respect to supremum norm. This is done with rates using the rst univariate and multivariate moduli of continuity. We approximate continuous and bounded functions on R^N; N \subset N. When they arealso uniformly continuous we have pointwise and uniform convergences.
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Anastassiou, G.
(2019).
Quantitative Approximation by Kantorovich-Choquet quasi-interpolation neural network operators.
Acta Mathematica Universitatis Comenianae, 88(1), 113-130.
Retrieved from http://www.iam.fmph.uniba.sk/amuc/ojs/index.php/amuc/article/view/870/635
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