Parametrized Half-Hyperbolic Tangent Function-Activated Complex-Valued Neural Network Approximation
Year: 2024
Type: article
Abstract: 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 function. Moreover, we consider the univariate quantitative approximations by complex-valued neural network (NN) operators of complex-valued functions on a compact domain. Pointwise and uniform convergence results on Banach spaces are acquired through trigonometric, hyperbolic, and hybrid-type hyperbolic–trigonometric approaches.
Source: Symmetry
DOI: 10.3390/sym16121568
Authors: George A. Anastassiou, Seda Karateke
Institutions: University of Memphis, Atlas Üniversitesi
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,728
OpenAlex ID: W4404668462