Yazar "Karateke, Seda" için listeleme
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Approximation by Bicomplex Favard-Szász-Mirakjan Operators
Anastassiou, George A.; Güller, Özge Özalp; Raiz, Mohd; Karateke, Seda (MDPI, 2025)The aim of this paper is to consider bicomplex Favard-Sz & aacute;sz-Mirakjan operators and study some approximation properties on a compact C2 disk. We provide quantitative estimates of the convergence. Moreover, the ... -
Complex-Valued Multivariate Neural Network (MNN) Approximation by Parameterized Half-Hyperbolic Tangent Function
Karateke, Seda (MDPI, 2025)This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of RN, Nis an element of N. Moreover, we consider the case ... -
Interpolation for neural-network operators activated with a generalized logistic-type function
Uyan, Hande; Aslan, Abdullah Ozan; Karateke, Seda; Büyükyazıcı, İbrahim (SPRINGER, 2024)This paper defines a family of neural-network interpolation operators. The first derivative of generalized logistic-type functions is considered as a density function. Using the first-order uniform approximation theorem ... -
Parametrized Half-Hyperbolic Tangent Function-Activated Complex-Valued Neural Network Approximation
Anastassiou, George A; Karateke, Seda (MDPI, 2024)In this paper, we create a family of neural network (NN) operators employing a parametrized and deformed half-hyperbolic tangent function as an activation function and a density function produced by the same activation ... -
Some mathematical properties of flexible hyperbolic tangent activation function with application to deep neural networks
Karateke, Seda (SPRINGER, 2025)This study rigorously delves into some analytic properties of an improved activation function (referred as flx tanh). The determined results appear as a generalization of some results known in the literature. The flx ... -
Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators
Anastassiou, George A.; Karateke, Seda; Zontul, Metin (MDPI, 2025)This paper deals not only with pointwise and uniform convergence but also Y-valued fractional approximation results by univariate symmetrized neural network (SNN) operators on Banach space Y,.. Moreover, our main motivation ...
