Şerife Nur KaramanSelcuk University · Department of Mathematics
Şerife Nur Karaman
PhD Student
About
3
Publications
443
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
36
Citations
Publications
Publications (3)
The present paper deals with construction of newly family of Neural Network operators, that is,Steklov Neural Network operators. By using Steklov type integral, we introduce a new version of Neural Network operators and we obtain some convergence theorems for the family, such as, pointwise and uniform convergence,rate of convergence via moduli of s...
![Approximation of target function f(x)\documentclass[12pt]{minimal}...](publication/343660335/figure/fig1/AS:963429355487240@1606710866479/Approximation-of-target-function-fxdocumentclass12ptminimal-usepackageamsmath_Q320.jpg)
![Approximation of target function g(x)\documentclass[12pt]{minimal}...](publication/343660335/figure/fig2/AS:963429355491358@1606710866648/Approximation-of-target-function-gxdocumentclass12ptminimal-usepackageamsmath_Q320.jpg)
Abstract The present paper deals with reconstruction of Gamma operators preserving some exponential functions and studies their approximation properties: uniform convergence, rate of convergence, asymptotic formula and saturation. The effectiveness of new operators compared to classical ones is presented in certain senses as well. The last section...
In this study, we introduce newly defined Gamma operators which preserve constants and e2μ·, μ>0 functions. In accordance with this purpose, we focus on their approximation properties such as uniform convergence, rate of convergence, asymptotic formula, and saturation results. Superior properties of introduced operators have been tested both theore...
