Quantitative Approximation by a Kantorovich-Shilkret quasi-interpolation neural network operator
Abstract In this article we present multivariate basic approximation by a Kantorovich-Shilkret type quasi-interpolation neural network operator with respect to supremum norm. This is done with rates using the multivariate modulus of continuity. We approximate continuous and bounded functions on RN,...
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| Lenguaje: | English |
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Universidad de La Frontera. Departamento de Matemática y Estadística.
2018
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| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-06462018000300001 |
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