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Fractional type multivariate neural network operators

Uğur Kadak

2021Mathematical Methods in the Applied Sciences39 citationsDOI

Abstract

In this paper, we introduce a novel family of multivariate neural network operators involving Riemann‐Liouville fractional integral operator of order α . Their pointwise and uniform approximation results are presented, and new results concerning the rate of convergence in terms of the modulus of continuity are estimated. Moreover, several graphical and numerical results are presented to demonstrate the accuracy, applicability, and efficiency of the operators through special activation functions. Finally, an illustrative real‐world example on the recent trend of novel corona virus Covid‐19 has been investigated in order to demonstrate the modeling capabilities of the proposed neural network operators.

Topics & Concepts

MathematicsPointwiseModulus of continuityOperator (biology)Type (biology)Applied mathematicsArtificial neural networkMultivariate statisticsOperator theoryMathematical analysisComputer scienceArtificial intelligenceStatisticsBiochemistryTranscription factorChemistryRepressorBiologyEcologyGeneFractional Differential Equations SolutionsApproximation Theory and Sequence SpacesIterative Methods for Nonlinear Equations
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